acrilammide — etichetta CAS 79-06-1

acrilammide

IARC Gruppo 2A — Probabilmente cancerogena per l'uomo
CAS: 79-06-1 | Fonte IARC
EU SVHCMolGod Score: Primario

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Reagente chimico Akrylamid (CAS 79-06-1). Scheda enciclopedica completa — classificazione, proprietà e dati di sicurezza — di seguito.

🔒 VENDITA BLOCCATA DAL SISTEMA

Akryloamid · restrizione (REACH Allegato XVII)

Allegato XVII · art. 67, par. 1 · regolamento REACH (CE) n. 1907/2006

Blocco applicato automaticamente dal canone normativo, non da una decisione dell'operatore. Base giuridica ↗

MolGod_SDSCARD_1
REACH 2020/878
v1 · 17.07.2026
Category:
🧬 Visualizzatore di molecole 3D
Caricamento molecola...
Modello 3D Acrylamide, CAS 79-06-1, formula molecolare C3H5NO, massa molare 71.08 g/mol
Panoramica chimica: AcrylamideMolGod_OVERVIEW_1
Formula molecolareC3H5NO
Peso molecolare71.08 g/mol
Punto di fusione84.5 °C
Densità1.13 g/cm³
LogP (lipofilia)-0.7
Nome IUPACprop-2-enamide
SMILESC=CC(=O)N
InChIKeyHRPVXLWXLXDGHG-UHFFFAOYSA-N

Sinonimi: ACRYLAMIDE · 79-06-1 · 2-Propenamide · prop-2-enamide · Propenamide

Fonti dei dati: PubChem (NLM/NIH)
Ultimo aggiornamento: 2026-11-10

RICERCA SCIENTIFICA

[1]OpenAlex2021
Developmental and Neurotoxicity of Acrylamide to Zebrafish
Jong‐Su Park, Palas Samanta, Sangwoo Lee et al.. (2021). "Developmental and Neurotoxicity of Acrylamide to Zebrafish". International Journal of Molecular Sciences. https://doi.org/10.3390/ijms22073518
Vai allo studio completo ↗
[2]OpenAlex2018
Acrylamide acute neurotoxicity in adult zebrafish
Melissa Faria, Tamar Ziv, Cristian Gómez‐Canela et al.. (2018). "Acrylamide acute neurotoxicity in adult zebrafish". Scientific Reports. https://doi.org/10.1038/s41598-018-26343-2
Vai allo studio completo ↗
[3]OpenAlex2016
Acrylamide-forming potential of potatoes grown at different locations, and the ratio of free asparagine to reducing sugars at…
N. Muttucumaru, Stephen J. Powers, J. Stephen Elmore et al.. (2016). "Acrylamide-forming potential of potatoes grown at different locations, and the ratio of free asparagine to reducing sugars at whic
Vai allo studio completo ↗
[4]OpenAlex2012
Toxicology and carcinogenesis studies of acrylamide (CASRN 79-06-1) in F344/N rats and B6C3F1 mice (feed and drinking water…
(2012). "Toxicology and carcinogenesis studies of acrylamide (CASRN 79-06-1) in F344/N rats and B6C3F1 mice (feed and drinking water studies).". PubMed.
[5]OpenAlex2011
Exposure to acrylamide and human cancer—a review and meta-analysis of epidemiologic studies
Claudio Pelucchi, Carlo La Vecchia, Cristina Bosetti et al.. (2011). "Exposure to acrylamide and human cancer—a review and meta-analysis of epidemiologic studies". Annals of Oncology. https://doi.org/
Vai allo studio completo ↗
[6]OpenAlex2011
Results on acrylamide levels in food from monitoring years 2007–2009 and Exposure assessment
European Food Safety Authority. (2011). "Results on acrylamide levels in food from monitoring years 2007–2009 and Exposure assessment". EFSA Journal. https://doi.org/10.2903/j.efsa.2011.2133
Vai allo studio completo ↗
[7]OpenAlex2009
Diet-Induced Obesity in Male Mice Is Associated with Reduced Fertility and Potentiation of Acrylamide-Induced Reproductive Toxicity1
Burhan I. Ghanayem, Re Bai, Grace E. Kissling et al.. (2009). "Diet-Induced Obesity in Male Mice Is Associated with Reduced Fertility and Potentiation of Acrylamide-Induced Reproductive Toxicity1". Bi
Vai allo studio completo ↗
[8]OpenAlex2008
Biomonitoring Equivalents (BE) dossier for acrylamide (AA) (CAS No. 79-06-1)
Sean M. Hays, Lesa L. Aylward. (2008). "Biomonitoring Equivalents (BE) dossier for acrylamide (AA) (CAS No. 79-06-1)". Regulatory Toxicology and Pharmacology. https://doi.org/10.1016/j.yrtph.2008.05.0
Vai allo studio completo ↗
📚 Riferimenti scientifici (Chicago Author-Date) 11 refs · 3 baz

MOLEKUŁA Bibliografia per-CAS (live da 13+ banche dati)

Fonti: db:openalex (8) · db:core (3)

  1. db:openalex Jong‐Su Park, Palas Samanta, Sangwoo Lee et al.. (2021). "Developmental and Neurotoxicity of Acrylamide to Zebrafish". International Journal of Molecular Sciences. https://doi.org/10.3390/ijms22073518 →
  2. db:openalex Melissa Faria, Tamar Ziv, Cristian Gómez‐Canela et al.. (2018). "Acrylamide acute neurotoxicity in adult zebrafish". Scientific Reports. https://doi.org/10.1038/s41598-018-26343-2 →
  3. db:openalex N. Muttucumaru, Stephen J. Powers, J. Stephen Elmore et al.. (2016). "Acrylamide-forming potential of potatoes grown at different locations, and the ratio of free asparagine to reducing sugars at which free asparagine becomes a limiting factor for acrylamide formation". Food Chemistry. https://doi.org/10.1016/j.foodchem.2016.09.199 →
  4. db:openalex (2012). "Toxicology and carcinogenesis studies of acrylamide (CASRN 79-06-1) in F344/N rats and B6C3F1 mice (feed and drinking water studies).". PubMed.
  5. db:openalex Claudio Pelucchi, Carlo La Vecchia, Cristina Bosetti et al.. (2011). "Exposure to acrylamide and human cancer—a review and meta-analysis of epidemiologic studies". Annals of Oncology. https://doi.org/10.1093/annonc/mdq610 →
  6. db:openalex European Food Safety Authority. (2011). "Results on acrylamide levels in food from monitoring years 2007–2009 and Exposure assessment". EFSA Journal. https://doi.org/10.2903/j.efsa.2011.2133 →
  7. db:openalex Burhan I. Ghanayem, Re Bai, Grace E. Kissling et al.. (2009). "Diet-Induced Obesity in Male Mice Is Associated with Reduced Fertility and Potentiation of Acrylamide-Induced Reproductive Toxicity1". Biology of Reproduction. https://doi.org/10.1095/biolreprod.109.078915 →
  8. db:openalex Sean M. Hays, Lesa L. Aylward. (2008). "Biomonitoring Equivalents (BE) dossier for acrylamide (AA) (CAS No. 79-06-1)". Regulatory Toxicology and Pharmacology. https://doi.org/10.1016/j.yrtph.2008.05.010 →
  9. db:core Skott, A., Hofmann, A., Sorgel, F. et al.. (2002). "Acrylamide: Increased concentrations in homemade food and first evidence of its variable absorption from food, variable metabolism and placental and breast milk transfer in humans". https://doi.org/10.1159/000069715 →
  10. db:core Lawrence, Justin R., O\u27Neill, Feidhlim T., O'Neill, Feidhlim T. et al.. (2001). "Thickness variation of self-processing acrylamide-based photopolymer and reflection holography". https://doi.org/10.1117/1.1353801 →
  11. db:core (0). "NIOSH skin notation profile : acrylamide [CAS No. 79-06-1]".
📊 Proprietà fisico-chimiche

Riferimento rapido

Formula: C3H5NO
MW: 71.08 g/mol
CAS: 79-06-1
Aspetto: Flake-like crystals from benzene
Odore: Odorless
Odore: Odorless

Proprietà dettagliate

Proprietà Valore Unità Conditions Source
Densità (ρ) 1.1300 g/cm³ 20 °C (68 °F)
Punto di fusione (mp) 84.50 °C (184.1 °F) 1 atm
Punto di infiammabilità 137.80 °C (280 °F) closed cup
Solubilità in acqua soluble (≥999) g/L 25 °C (77 °F)
🔬 Proprietà avanzate

Identificatori chimici

SMILES: C=CC(=O)N

Fonti dei dati: PubChem, NIST Chemistry WebBook, CRC Handbook of Chemistry and Physics (103rd ed.)

Ultimo aggiornamento: 2026-06-30

Stato normativo della sostanza
Questo composto: figura nell'elenco delle sostanze candidate SVHC (REACH art. 59). Elenchi: EU/SVHC. Informazione normativa — non limita l'acquisto nel negozio.
🧮 Calcolatore stechiometricoMolGod_STOICH_1
🔍 Identificatori esterniMolGod_EXTID_1
13 su 16 sistemi ID81%
DatabaseIdentificatoreAzioni
CAS Registry Number79-06-1Apri →
PubChem CID6579Apri →
InChIKeyHRPVXLWXLXDGHG-UHFFFAOYSA-NApri →
InChIInChI=1S/C3H5NO/c1-2-3(4)5/h2H,1H2,(H2,4,5)
SMILESC=CC(=O)N
EC Number201-173-7Apri →
KEGG CompoundC01659Apri →
HMDBHMDB0004296Apri →
ChemSpider6331Apri →
MeSH UID (NLM)D020106Apri →
UNII (FDA)20R035KLCIApri →
NSC Number (NCI)7785Apri →
WikiData QIDQ342939Apri →

Fonti: PubChem (NIH), Wikidata SPARQL, KEGG, ChEMBL (EBI), CompTox CTX (EPA).

📡 Spettroscopia — CAS 79-06-1MolGod_SPECHUB_MAIN
📊 Banche dati di spettri spettroscopici — dati inline 9 sources MolGod_SPECDB_2

Gli spettri vengono recuperati su richiesta da 9 fonti. Ogni spettro viene salvato nel nostro database — l'apertura successiva = zero richieste all'API esterna. Scarica JCAMP-DX / CSV / PNG per ogni spettro senza dover cercare.

IR IR (Infrared) — NIST WebBook
Public domain (US Federal)
▶ Clicca per caricare lo spettro
🔗 Source
— points
📚 NIST Chemistry WebBook, SRD 69
MS (NIST) Mass Spectrum (EI) — NIST WebBook
Public domain (US Federal)
▶ Clicca per caricare lo spettro
🔗 Source
— points
📚 NIST Standard Reference Database 1A
UV-Vis UV/Visible Absorption — NIST WebBook
Public domain (US Federal)
▶ Clicca per caricare lo spettro
🔗 Source
— points
📚 NIST Chemistry WebBook, SRD 69
¹H NMR NMR (¹H, ¹³C) — NMRShiftDB
CC-BY-SA 4.0
▶ Clicca per caricare lo spettro
🔗 Source
— points
📚 Steinbeck C et al. (2003) J. Chem. Inf. Comput. Sci. 43(1):10–16 DOI: 10.1021/ci025588g
MS (MoNA) MoNA — MassBank of North America
CC-BY 4.0
▶ Clicca per caricare lo spettro
🔗 Source
— points
📚 MassBank of North America (UC Davis) DOI: 10.1002/jms.1777
IR/NMR/MS (SDBS) SDBS — Spectral Database for Organic Compounds (Japan AIST)
Free for non-commercial

Fonte di riferimento — nessuna API pubblica. Apri nella banca dati esterna:

🔗 IR/NMR/MS (SDBS) →
📚 SDBSWeb: https://sdbs.db.aist.go.jp (AIST, Japan)
JP Monograph Japanese Pharmacopoeia — Monographs
Reference only

Fonte di riferimento — nessuna API pubblica. Apri nella banca dati esterna:

🔗 JP Monograph →
📚 Japanese Pharmacopoeia 18th Edition (2021)
WHO INN WHO — International Nonproprietary Names
WHO Model Lists (free)

Fonte di riferimento — nessuna API pubblica. Apri nella banca dati esterna:

🔗 WHO INN →
📚 WHO INN Programme
DOAJ DOAJ — Directory of Open Access Journals
OA journal index (mixed)

Fonte di riferimento — nessuna API pubblica. Apri nella banca dati esterna:

🔗 DOAJ →
📚 DOAJ — doaj.org

Dati recuperati tramite MolGod_Spectra_Remote_Fetcher (parser JCAMP-DX) e salvati nella tabella wp_molgod_spectra_cache. Zero download duplicati, zero richieste a NIST alle aperture successive. Licenze rispettate (viene pubblicato solo il deep-link + la nostra visualizzazione).

🔬 Spettri interattivi (live — NIST / MoNA / NMRShiftDB / SDBS) (2)

Dati recuperati in tempo reale da più fonti (priority-chain). JCAMP-DX / CSV / PNG disponibili per il download sotto ogni spettro. ⓘ Fonte unica ★★☆☆☆

IR — infrarosso in trasformata di Fourier

Caricamento IR — infrarosso in trasformata di Fourier…

MS — spettrometria di massa (EI 70eV)

Caricamento MS — spettrometria di massa (EI 70eV)…

📐 Proprietà fisico-chimiche (database) 6 campi MolGod Score: Nessuna fonte
Proprietà Valore Unità Conditions Source
Punto di fusione 84.50 °C 1 atm
Solubilità in acqua soluble (≥999) g/L 25°C
Densità (ρ) 1.1300 g/cm³ 20°C
Punto di infiammabilità 137.80 °C closed cup
Temperatura di autoaccensione 240.00 °C in air
logP (ottanolo/acqua) -0.700 — 25°C
📚 Riferimenti scientifici (Chicago Author-Date) (12 sources)
  1. Haynes, William M., ed. 2024. CRC Handbook of Chemistry and Physics. 105th ed. Boca Raton: CRC Press/Taylor & Francis. ISBN 978-1-032-55554-4. ↗
  2. National Institute of Standards and Technology. 2024. "NIST Chemistry WebBook, SRD 69." Gaithersburg, MD: NIST. Accessed 2025-01-01. ↗
  3. Yaws, Carl L. 2014. The Yaws Handbook of Physical Properties for Hydrocarbons and Chemicals. 2nd ed. Oxford: Gulf Professional Publishing.
  4. PubChem. 2024. "PubChem Compound Database." National Library of Medicine, National Institutes of Health. Accessed 2025-01-01. ↗
  5. Marrero, J., and R. Gani. 2001. "Group-Contribution Based Estimation of Pure Component Properties." Fluid Phase Equilibria 183–184: 183–208. ↗
  6. Joback, K. G., and R. C. Reid. 1987. "Estimation of Pure-Component Properties from Group-Contributions." Chemical Engineering Communications 57 (1–6): 233–243. ↗
  7. Sangster, J. 1997. Octanol-Water Partition Coefficients: Fundamentals and Physical Chemistry. Chichester: Wiley. ISBN 978-0-471-97397-3.
  8. Mannhold, Raimund, and Han van de Waterbeemd. 2001. "Substructure and Whole Molecule Approaches for Calculating Log P." Journal of Computer-Aided Molecular Design 15 (4): 337–354. ↗
  9. Perrin, Ditlev D., Boyd Dempsey, and E. P. Serjeant. 1981. pKa Prediction for Organic Acids and Bases. London: Chapman and Hall. ISBN 0-412-21090-5.
  10. Constantinou, Leonidas, and Rafiqul Gani. 1994. "New Group Contribution Method for Estimating Properties of Pure Compounds." AIChE Journal 40 (10): 1697–1710. ↗
  11. Ertl, Peter, Bernhard Rohde, and Paul Selzer. 2000. "Fast Calculation of Molecular Polar Surface Area as a Sum of Fragment-Based Contributions and Its Application to the Prediction of Drug Transport Properties." Journal of Medicinal Chemistry 43 (20): 3714–3717. ↗
🔄 Convertitore di unità di concentrazione LIVE MolGod_UNITCONV_1

Inserisci la concentrazione Acrylamide in qualsiasi unità — il resto verrà calcolato automaticamente.

MW: 71.08 g/mol · IUPAC Gold Book ↗

⚗️ Formule di conversione + citazioni (per formula)
ConversionFormulaAccuratezzaSource
% (w/v) ↔ molarityc (mol/L) = (% × 10) / MW±0.5% rel. when density ≈ 1.0 g/mLIUPAC (2019)
millimolar ↔ molarc (mol/L) = mM × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
molarity (mol/L)c = n/V = (m/MW)/V±0.1% (depends on MW precision)IUPAC (2019)
parts per million (mg/L) ↔ molarityc (mol/L) = ppm / (1000 × MW); equivalently ppm = mg/L for dilute aqueous±1% (density-independent for dilute solutions)IUPAC (2019)
mg/mL ↔ molarityc (mol/L) = (mg/mL × 1000) / MW / 1000 = mg/mL / MW × 1±0.2%Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
g/L ↔ molarityc (mol/L) = (g/L) / MW±0.1% (depends on MW precision)Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
mmol/L ↔ molarityc (mol/L) = mmol/L × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
Celsius ↔ KelvinT(K) = t(°C) + 273.15±0.01 K (ITS-90 scale)BIPM (Bureau International des Poids et Mesures) (2019)
Celsius ↔ FahrenheitT(°F) = T(°C) × 9/5 + 32±0.1 °FThompson A, Taylor BN (2008)
density-corrected % ↔ molarityc (mol/L) = (%w/w × ρ × 10) / MW, ρ in g/mL±0.1% when ρ known to 3 decimalsCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
📚 Bibliografia (8 fonti autorevoli)
  1. Thompson A, Taylor BN (2008). Guide for the Use of the International System of Units (SI). NIST Special Publication 811 · DOI: 10.6028/NIST.SP.811-2008
    → Primary SI standard for US scientific usage
  2. Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007). Quantities, Units and Symbols in Physical Chemistry — The IUPAC Green Book. RSC Publishing, 3rd ed. · DOI: 10.1039/9781847557889 · ISBN: 978-0-85404-433-7
    → Canonical IUPAC guide for chemistry quantities/units
  3. BIPM (Bureau International des Poids et Mesures) (2019). The International System of Units (SI), 9th edition. BIPM · ↗
    → International SI definitions (incl. redefined kilogram 2019)
  4. ISO/IEC (2022). Quantities and units — Part 1: General. International Organization for Standardization — ISO 80000-1:2022 · ↗
    → General rules for physical quantities and units
  5. ISO/IEC (2019). Quantities and units — Part 9: Physical chemistry and molecular physics. International Organization for Standardization — ISO 80000-9:2019 · ↗
    → Concentration / molality / amount-of-substance conventions
  6. Tiesinga E, Mohr PJ, Newell DB, Taylor BN (2021). CODATA recommended values of the fundamental physical constants: 2018. Rev. Mod. Phys. 93(2):025010 · DOI: 10.1103/RevModPhys.93.025010
    → Avogadro, gas constant, molar volume (2019 SI revision)
  7. IUPAC (2019). Compendium of Chemical Terminology — the IUPAC Gold Book (online). IUPAC · DOI: 10.1351/goldbook
    → Definitions of mass fraction, molality, normality, ppm, activity
  8. Mills IM, Cvitaš T, Homann K, Kallay N, Kuchitsu K (1988). Quantities, Units and Symbols in Physical Chemistry. Blackwell Scientific Publications, 1st ed. · ISBN: 0-632-01773-5
    → Historical predecessor of IUPAC Green Book
🧪 Procedura guidata di preparazione della soluzione WIZARD MolGod_PREP_1
① Seleziona la concentrazione
② Volume finale
③ Solvente

Calcoli secondo: IUPAC Gold Book ↗, Merck ↗

Compatibilità con i solventiMolGod_SOLV_1

Stima basata sulla solubilità in acqua e sul logP. Dati indicativi — non sostituiscono studi sperimentali.

SolventeCompatibilitàNoteRiferimenti
Water+ BuonalogP suggerisce idrofilia
EtOH+ BuonaEtOH — solvente polare universale
Acetone~ ModerataParzialmente compatibile
DCM- ScarsaScarsa compatibilità con i solventi polari
DMSO+ BuonaDMSO — potente solvente aprotico
THF~ ModerataTHF — limitata per composti fortemente polari
Hexane- ScarsaPraticamente insolubile in esano
CHCl3- ScarsaScarsa compatibilità con i solventi polari

Fonti dei dati per logP/solubilità: logP: -0.70

📚 Riferimenti scientifici per i solventi (Chicago Author-Date) — fare clic per espandere

Ogni solvente dispone di 5 fonti scientifiche indipendenti (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/GESTIS). Citazioni complete di seguito.

Water · NIST CAS lookup ↗
  1. Rumble, John R., ed. 2023. CRC Handbook of Chemistry and Physics. 104th ed. Boca Raton, FL: CRC Press. [link ↗]
  2. International Association for the Properties of Water and Steam (IAPWS). 1997. "Release on the Static Dielectric Constant of Ordinary Water Substance." IAPWS R8-97. [link ↗]
  3. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220. [link ↗]
  4. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. https://doi.org/10.1201/9781420006834. [link ↗]
  5. IFA. n.d. "Water." GESTIS Substance Database. Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung. Accessed April 25, 2026. [link ↗]
EtOH · NIST CAS lookup ↗
  1. Rumble, John R., ed. 2023. CRC Handbook of Chemistry and Physics. 104th ed. Boca Raton, FL: CRC Press. [link ↗]
  2. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220. [link ↗]
  3. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Hoboken, NJ: Wiley. https://doi.org/10.1002/9780470508183. [link ↗]
  4. Smallwood, Ian M. 1996. Handbook of Organic Solvent Properties. London: Arnold. https://doi.org/10.1016/B978-0-340-64578-9.X5000-9. [link ↗]
  5. IFA. n.d. "Ethanol." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
Acetone · NIST CAS lookup ↗
  1. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. Rumble, John R., ed. 2023. CRC Handbook of Chemistry and Physics. 104th ed. Boca Raton, FL: CRC Press. [link ↗]
  4. Smallwood, Ian M. 1996. Handbook of Organic Solvent Properties. London: Arnold. [link ↗]
  5. IFA. n.d. "Acetone." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
DCM · NIST CAS lookup ↗
  1. National Institute of Standards and Technology. n.d. "Methane, dichloro- (CAS 75-09-2)." NIST Chemistry WebBook, SRD 69. Accessed April 25, 2026. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. International Agency for Research on Cancer. 1999. "Dichloromethane." IARC Monographs on the Evaluation of Carcinogenic Risks to Humans 71: 251–315. [link ↗]
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. [link ↗]
  5. IFA. n.d. "Dichloromethane." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
DMSO · NIST CAS lookup ↗
  1. Wypych, George. 2019. Handbook of Solvents. Volume 1: Properties. 3rd ed. Toronto: ChemTec Publishing. https://doi.org/10.1016/C2018-0-02235-3. [link ↗]
  2. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. [link ↗]
  3. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  4. National Institute of Standards and Technology. n.d. "Methane, sulfinylbis- (CAS 67-68-5)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  5. IFA. n.d. "Dimethyl sulfoxide." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
THF · NIST CAS lookup ↗
  1. Armarego, Wilfred L. F., and Christina Li Lin Chai. 2009. Purification of Laboratory Chemicals. 6th ed. Oxford: Butterworth-Heinemann. https://doi.org/10.1016/B978-1-85617-567-8.50003-3. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. National Institute of Standards and Technology. n.d. "Furan, tetrahydro- (CAS 109-99-9)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  4. Smallwood, Ian M. 1996. Handbook of Organic Solvent Properties. London: Arnold. [link ↗]
  5. IFA. n.d. "Tetrahydrofuran." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
Hexane · NIST CAS lookup ↗
  1. National Institute of Standards and Technology. n.d. "Hexane (CAS 110-54-3)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Hoboken, NJ: Wiley. [link ↗]
  4. Agency for Toxic Substances and Disease Registry. 1999. Toxicological Profile for n-Hexane. Atlanta, GA: U.S. Department of Health and Human Services. [link ↗]
  5. IFA. n.d. "n-Hexane." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
CHCl3 · NIST CAS lookup ↗
  1. International Agency for Research on Cancer. 1999. "Chloroform." IARC Monographs on the Evaluation of Carcinogenic Risks to Humans 73: 131–182. [link ↗]
  2. National Institute of Standards and Technology. n.d. "Methane, trichloro- (CAS 67-66-3)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  3. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. [link ↗]
  5. IFA. n.d. "Chloroform." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
Teoria della solubilità (applicata nella previsione della compatibilità):
  1. Yalkowsky, Samuel H., and Shri C. Valvani. 1980. "Solubility and Partitioning I: Solubility of Nonelectrolytes in Water." Journal of Pharmaceutical Sciences 69 (8): 912–922. https://doi.org/10.1002/jps.2600690814 — General Solubility Equation (GSE): logS = 0.5 − logP − 0.01(MP−25).
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. https://doi.org/10.1201/9781420006834 — Tripletta HSP (dD, dP, dH) + formula Ra.
  3. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220 — E_T(30) polarity scale, solwatochromia.
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Hoboken, NJ: Wiley. https://doi.org/10.1002/9780470508183 — Eluotropic series, polarity index.
  5. PubChem Compound Database — CAS 79-06-1 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Bibliografia completa nell'accordion RIFERIMENTI (in fondo alla pagina) — Chicago Manual of Style 17th ed., Author-Date.

🛡️ Sicurezza — CAS 79-06-1MolGod_SAFEHUB_MAIN
Avviso sulle limitazioni dei dati. Le informazioni sulla sicurezza contenute in questa pagina hanno carattere informativo e non sostituiscono la scheda di dati di sicurezza (SDS) completa. Prima di utilizzare il prodotto, consultare la scheda di dati di sicurezza aggiornata del produttore e le linee guida GHS/CLP. La classificazione CLP riguarda la sostanza pura bulk, non i preparati commerciali.

Classificazione GHS/CLP — Regolamento (CE) n. 1272/2008 + UN GHS Rev. 9 (2021).

⚠️ Pericolo (Danger)
GHS06 — Tossico
GHS06 Tossico
GHS07 — Irritante / nocivo
GHS07 Irritante / nocivo
GHS08 — Pericolo per la salute
GHS08 Pericolo per la salute

🚨 Indicazioni di pericolo (H)

  • H350 — Può provocare il cancro.
  • H340 — Può provocare alterazioni genetiche.
  • H361f — Sospettato di nuocere alla fertilità.
  • H332 — Nocivo se inalato.
  • H312 — Nocivo per contatto con la pelle.
  • H301 — Tossico se ingerito.
  • H372 — Provoca danni agli organi in caso di esposizione prolungata o ripetuta.
  • H315 — Provoca irritazione cutanea.
  • H319 — Provoca grave irritazione oculare.
  • H317 — Può provocare una reazione allergica cutanea.

🛡 Consigli di prudenza (P)

  • P203 — Procurarsi, leggere e seguire tutte le istruzioni di sicurezza prima dell’uso.

✓ Classificazione armonizzata ai sensi dell'allegato VI del regolamento CLP (CE) 1272/2008 (classificazione ufficiale, vincolante). Numero indice: 616-003-00-0.

Riferimento (Chicago): European Chemicals Agency. "acrylamide; prop-2-enamide, Index No. 616-003-00-0." In Table 3 of Annex VI to Regulation (EC) No 1272/2008 (CLP Regulation), 23rd Adaptation to Technical Progress. Helsinki: European Chemicals Agency, 2026. https://echa.europa.eu/information-on-chemicals/annex-vi-to-clp.

⚠ IARC — Gruppo 2A: probabilmente cancerogeno per l'uomo. (Valutazione indipendente delle evidenze di cancerogenicità da parte di IARC/WHO — integra la classificazione CLP soprastante.)
Riferimento (Chicago): IARC. 2026. IARC Monographs on the Identification of Carcinogenic Hazards to Humans: CAS 79-06-1. Lyon, France: International Agency for Research on Cancer, World Health Organization. https://monographs.iarc.who.int/list-of-classifications/. (Accessed 2026-11-12.)
Classificazione dall'elenco locale MOL-GOD (snapshot) — non verificata rispetto all'elenco IARC corrente. Verifica

Traduzioni: Regolamento CLP (CE) 1272/2008, Allegato III e IV. Dati: PubChem/NLM.

📚 Riferimenti scientifici consolidati — Chicago Author-Date 10 sources

Riferimenti raccolti da tutte le schede del Safety Hub. CAS: 79-06-1 · PubChem ↗

  1. Parlament Europejski i Rada UE. 2008. "Rozporządzenie (WE) nr 1272/2008 w sprawie klasyfikacji, oznakowania i pakowania substancji (CLP)." Dz.Urz. UE L 353. [↗] GHS, Normative
  2. United Nations Economic Commission for Europe (UNECE). 2021. "Globally Harmonized System of Classification and Labelling of Chemicals (GHS), Ninth Revised Edition." United Nations, Geneva. [↗] GHS
  3. Goldfrank, Lewis R., Robert S. Hoffman, Mary Ann Howland, et al.. 2019. "Goldfrank's Toxicologic Emergencies, 11th ed.." McGraw-Hill Education, New York. ISBN 978-1-25-985961-8. Pierwsza pomoc, Toksykologia
  4. National Institute for Occupational Safety and Health (NIOSH). 2023. "NIOSH Pocket Guide to Chemical Hazards (DHHS Publ. 2005-149)." U.S. Department of Health and Human Services / CDC, Cincinnati, OH. [↗] Pierwsza pomoc, PPE, Toksykologia
  5. European Committee for Standardization (CEN). 2016. "EN 374-1:2016 — Protective gloves against dangerous chemicals and micro-organisms." CEN, Brussels. [↗] PPE
  6. UNECE. 2023. "European Agreement Concerning the International Carriage of Dangerous Goods by Road (ADR 2025)." United Nations, Geneva. [↗] Utylizacja, Regulacje
  7. National Fire Protection Association (NFPA). 2022. "NFPA 400 — Hazardous Materials Code." NFPA, Quincy, MA. [↗] Magazynowanie
  8. Urben, P.G. (ed.). 2017. "Bretherick's Handbook of Reactive Chemical Hazards, 8th ed.." Butterworth-Heinemann / Elsevier, Oxford. [↗] Magazynowanie
  9. Ministerstwo Klimatu i Środowiska RP. 2023. "Baza danych o produktach i opakowaniach oraz o gospodarce odpadami (BDO)." Ministerstwo Klimatu i Środowiska, Warszawa. [↗] Utylizacja
  10. International Agency for Research on Cancer (IARC / WHO). 2024. "IARC Monographs on the Identification of Carcinogenic Hazards to Humans — List of Classifications." WHO, Lyon. [↗] Toksykologia

Le schede con riferimenti propri (Emergency, PPE, Storage, Waste) contengono ulteriori voci bibliografiche all'interno delle rispettive sezioni.

📈 Statistica analitica (t-test · RSD · Grubbs · Q-Dixon) ICH Q2

Incolla una serie di misure replicate (CSV oppure un numero per riga). Il calcolatore calcolerà la media, la deviazione standard e il 95% CI, e rileverà gli outlier (Grubbs + Dixon Q).

Separatore: virgola, spazio, tab, nuova riga. Min 3 misurazioni.
📐 Formule statistiche
  • x̄ = Σxᵢ / n — media aritmetica
  • s² = Σ(xᵢ - x̄)² / (n-1) — varianza campionaria
  • s = √s² — deviazione standard
  • RSD% = (s / x̄) × 100% — deviazione standard relativa
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — test di Grubbs
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

Fonte: ICH Q2(R2) Validation of Analytical Procedures · ICH PDF ↗

🧪 Calcolatore di ricette per tamponi UNIQUE
Bibliografia: Valori di pKa da Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Scegli un tampone dall'elenco di 20 sistemi popolari → inserisci il pH target → otterrai una ricetta esatta con le masse da pesare.

Passo 1: Scegli un sistema tampone

📜 Cronologia delle ricette (ultime 10)
🔬 Metodi HPLC/GC (3 metod)
📄
Biochemical Characterization of Thermostable Acrylamide Amidohydrolase from Aspergillus fumigatus with Potential Activity for Acrylamide Degradation in Various Food Products
HPLCCurrent Microbiology202388% ✓CC-BYResearch method (specificity, robustness)
Colonna: C18, 1 μm
Fase: mobile phase was methanol/acetonitrile/water (90:5:5, v/v/v) at a flow rate 1 ml/min for…
Rivelazione: UV 425 nm
Flusso: 1.00 mL/min
Temp.: 30.0 °C
Gradient: s: at the beginning (10% A and 90% B); up…
El-Sayed A, Elghamry H, Yassin M. Biochemical Characterization of Thermostable Acrylamide Amidohydrolase from Aspergillus fumigatus with Potential Activity for Acrylamide Degradation in Various Food Products. Current Microbiology. 2023;81:30. doi:10.1007/s00284-023-03544-1
🔗 DOI🏠 PMC📚 PubMed📄 PDF
Acrylamide is the major by-product of the Maillard reactions in foods with the overheating processes of L-asparagine-rich foods with reducing sugars that usually allied with neurotoxicity and carcinogenicity. Several approaches have been used to prevent the formation of acrylamide, however, degrading the already formed acrylamide in foods remains unequivocal. Acrylamide hydrolyzing enzyme “amidohydrolase” is one of the most promising enzymes for acrylamide degradation in foods. So, amidohydrolase “amidase” from thermotolerant Aspergillus fumigatus EFBL was purified to their electrophoretic homogeneity by gel-filtration and ion-exchange chromatography, with overall purification folds 2.8 and yield 9.43%. The apparent molecular subunit structure of the purified A. fumigatus amidase was 50 kDa, with highest activity at reaction temperature of 40 °C and pH of 7.5 The enzyme displayed a significant thermal stability as revealed from the value of T1/2 (13.37 h), and thermal denaturation rate (Kr 0.832 × 10–3 min) at 50 °C, with metalloproteinic identity. The purified enzyme had a significant activity for acrylamide degradation in various food products such as meat, cookies, potato chips, and bread as revealed from the HPLC analysis and LC–MS analysis. So, with the purified amidase, the acrylamide in the food products was degraded by about 95% to acrylic acid, ensuring the possibility of using this enzyme in abolishing the toxic acrylamide in the foods products. This is the first report exploring the potency of A. fumigatus amidase for an actual degradation of acrylamide in foods efficiently. Further biochemical analyses are ongoing to assess the affinity of this enzyme for selective hydrolyses of acrylamide in foods, without affecting the beneficial stereochemical related compounds.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00284-023-03544-1.
📄
Effect of Brewing Methods on Acrylamide Content and Antioxidant Activity: Studying Eight Different Filter Coffee Preparations
HPLC-MSAntioxidants202395% ✓CC-BYResearch method (specificity, robustness)
Colonna: C18, 0.2 μm
Fase: mobile phase consisted of water (A) and acetonitrile (B), both containing 0
Rivelazione: UV 325 nm
Flusso: 0.80 mL/min
Temp.: 18.0 °C
Inj.: 2 μL
Gradient: elution mode
Santanatoglia A, Angeloni S, Bartolucci D, Fioretti L, Sagratini G, Vittori S, et al. Effect of Brewing Methods on Acrylamide Content and Antioxidant Activity: Studying Eight Different Filter Coffee Preparations. Antioxidants. 2023;12:1888. doi:10.3390/antiox12101888
🔗 DOI🏠 PMC📚 PubMed📄 PDF
The aim of this study was to investigate the parameters affecting the extraction of positive molecules such as chlorogenic acids and antioxidants, as well as potentially carcinogenic substances such as acrylamide, in different coffee brewing methods. Three coffee varieties, each assigned a different roasting degree, were used to prepare coffee brews following eight different preparation methods. Acrylamide was quantified using the HPLC-MS/MS instrument, while chlorogenic acids and caffeine were quantified using the HPLC-DAD system. Three spectrophotometric analyses were also performed (DPPH, TFC and TPC) to evaluate antioxidant activity. The results showed that the main brewing parameters, which have the greatest influence on the final content of these compounds, were the volume of water used, more specifically the brewing ratio (coffee to water ratio), the extraction time and the particle size of the coffee powder. In addition, the variables that have the greatest impact on the discrimination of the preparation methods studied are total chlorogenic acid content, TFC, TPC, caffeine and the DPPH assay. For this reason, the recipe and infusion parameters used for each of the extraction systems are the key factors that determine the extraction of coffee components and, consequently, the quality of the cup.
acrylamideantioxidant activitybrewing methodschlorogenic acidscoffeeHPLC-MS/MSHPLC-DAD
📄
Simultaneous Determination of Furanic Compounds and Acrylamide in Insect-Based Foods by HPLC-QqQ-MS/MS Employing a Functionalized Mesostructured Silica as Sorbent in Solid-Phase Extraction
LC-MS/MSFoods202190% ✓CC-BYResearch method (specificity, robustness)
Colonna: NH2, 0.45 μm
Fase: mobile phases: solvent A (ACN) and solvent B (Milli-Q Water), both phases…
Rivelazione: MS
Flusso: 0.30 mL/min
Temp.: 20.0 °C
Inj.: 100 μL
Gradient: elution mode
González-Gómez L, Morante-Zarcero S, Pérez-Quintanilla D, Sierra I. Simultaneous Determination of Furanic Compounds and Acrylamide in Insect-Based Foods by HPLC-QqQ-MS/MS Employing a Functionalized Mesostructured Silica as Sorbent in Solid-Phase Extraction. Foods. 2021;10:1557. doi:10.3390/foods10071557
🔗 DOI🏠 PMC📚 PubMed📄 PDF
Insect-based products are novel foods (NF) that merit careful study. For this reason, in this work a method has been developed for the simultaneous analysis of four food processing contaminants (FPC), acrylamide (AA), 5-hydroxymethylfurfural, (HMF), 5-methylfurfural (MF) and furfural (F), in insect-based products (bars, crackers and flours) by high-performance liquid chromatography coupled to triple quadrupole mass spectrometry (HPLC-QqQ-MS/MS). The method consisted of a solid-liquid extraction (SLE) with acidified water, followed by solid-phase extraction (SPE), using 100 mg of a sorbent based on mesostructured silica with a large pore functionalized with amino groups (SBA-15-LP-NH2). The analytical method was properly optimized and validated in a representative bar sample of pineapple & coconut with cricket flour (Ins-B-Pine-Coco) showing good accuracy, with recoveries ranging from 70–101% for the four analytes and adequate precision (RSD < 9%). Good linearity (R2 ≥ 0.995) and low method quantification limits for AA (between 1.3–1.4 µg/g), F (between 7.9–8.8 µg/g), MF (between 3.1–6.5 µg/g) and HMF (between 1.5–3.3 µg/g) were also obtained in all samples studied. The proposed method was successfully applied in eleven insect-based foods. Results revealed that insect-based bars can be a good alternative to traditional cereal bars to reduce dietary exposure to HMF; but, in order to reduce the exposure to AA, alternative formulations must be evaluated in the design of innovative insect-based crackers.
acrylamide5-hydroxymethylfurfuralfurfural5-methylfurfuralinsect-based foods
📈 Validazione del metodo (ICH Q2)

Nessun dato di validazione. Contattare l'autore del metodo.

Parametri secondo: ICH Q2(R2) ↗

📋 Confronto dei metodi
Technique Colonna Tempo di analisi Rivelazione Fase mobile Source
HPLC C18 — UV 425 nm mobile phase was methanol/acetonitrile/water (90:5:5, v/v/v) at a… DOI ↗
HPLC-MS C18 — UV 325 nm mobile phase consisted of water (A) and acetonitrile… DOI ↗
LC-MS/MS NH2 — MS mobile phases: solvent A (ACN) and solvent B… DOI ↗
🔧 Risoluzione problemi HPLC/GC
Picchi larghi / tailing
Cause: Colonna usurata, pH della fase errato, sovraccarico della colonna, dead volume
Soluzione: Sostituire la colonna, verificare il pH del tampone (±0.2), ridurre il volume di iniezione, controllare i raccordi
Deriva della linea di base
Cause: Fase mobile contaminata, gradiente, temperatura instabile
Soluzione: Degassare la fase, filtrare 0.22 µm, stabilizzare la temperatura della colonna, lavare il sistema
Nessun picco
Cause: Lunghezza d'onda errata, la sostanza non eluisce, decomposizione termica, fase errata
Soluzione: Verificare λmax, prolungare il gradiente, abbassare la temperatura, cambiare la fase mobile
Picchi fantasma (ghost peaks)
Cause: Contaminazione del sistema, carry-over, flaconcini contaminati
Soluzione: Pulire il sistema (MeOH/H₂O), usare nuove fiale, iniettare un bianco
Basso recupero
Cause: Adsorbimento sulle pareti, estrazione insufficiente, decomposizione
Soluzione: Aggiungi IS, silanizza la vetreria, ottimizza l'estrazione, verifica la stabilità

Fonti: Snyder, Kirkland & Dolan ↗, Waters ↗

📊 Validazione del metodo HPLC (ICH Q2(R1)) PARTIAL

3 metrics need experimental data

Parametro Valore Unità Criterio ICH Q2 Status
Linearità (R²) nessun dato unitless R² ≥ 0.999 (≥0.99 per la bioanalitica) —
LOD (S/N = 3:1) nessun dato ng/mL S/N ≥ 3:1 (concentrazione rilevabile più bassa) —
LOQ (S/N = 10:1) nessun dato ng/mL S/N ≥ 10:1 (LOQ ≥ 3×LOD tipicamente) —
Precisione (RSD intraday, n=6) nessun dato % RSD RSD ≤ 2% (intraday) / ≤ 3% (interday) per l'API —
Accuratezza (recupero, 3 livelli) nessun dato % (target 100±2%) Recovery 98-102% (target 100%) —
Intervallo di linearità nessun dato es. 0.1-100 ng/mL Min. 80-120% della concentrazione nominale —
Selettività/Specificità nessun dato qualitative Nessuna interferenza — picco dell'analita completamente risolto (Rs ≥ 2.0) —
Robustezza (robustness) nessun dato RSD < 2% con variazione del ±5% RSD < 2% con piccole variazioni dei parametri —
Legend: ✓ PASS ⚠ CAUTION ✗ FAIL — NO_DATA
📚 Riferimenti scientifici (Chicago Author-Date) — fare clic per espandere

Standard di convalida dei metodi analitici — 4 fonti indipendenti (ICH + USP + AOAC + Snyder).

  1. International Conference on Harmonisation (ICH). 2005. Validation of Analytical Procedures: Text and Methodology Q2(R1). ICH Expert Working Group. [link ↗] — Gold-standard ICH guideline — accepted by EMA, FDA, MHLW, NMPA
  2. United States Pharmacopeia (USP) Convention. 2024. USP General Chapter <621> Chromatography. USP-NF 2024 ed. USP. [link ↗]
  3. AOAC International. 2016. Appendix F: Guidelines for Standard Method Performance Requirements. AOAC INTERNATIONAL. [link ↗] — AOAC SMPR — alternative to ICH Q2 for food/dietary supplements
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. John Wiley & Sons. ISBN 978-0-470-16754-0. https://doi.org/10.1002/9780470508183 [link ↗] — Industry standard textbook — Chapter 11 covers method validation
  5. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. Practical HPLC Method Development. 2nd ed. Wiley. ISBN 978-0-471-00703-6. — Classic method-development reference (DryLab heritage).
  6. Rozet, Eric, et al.. 2013. Analysis of recent pharmaceutical regulatory documents on analytical method validation. https://doi.org/10.1016/j.chroma.2007.03.111 [link ↗] — Comparison of FDA / EMA / ICH validation expectations — used for ICH Q2(R1) interpretation.
  7. Heyden, Yvan Vander, et al.. 2009. Robustness of pharmaceutical liquid chromatographic methods. https://doi.org/10.1016/j.jchromb.2008.10.052 [link ↗] — Plackett-Burman design for robustness — basis of ICH Q2 §3.7.
  8. Dong, Michael W.. 2019. HPLC and UHPLC for Practicing Scientists. 2nd ed. Wiley. ISBN 978-1-119-31378-3. https://doi.org/10.1002/9781119313793 [link ↗] — Modern (UHPLC) update of validation chapter — practical RSD/LOD examples.
  9. Meyer, Veronika R.. 2010. Practical High-Performance Liquid Chromatography. 5th ed. Wiley. ISBN 978-0-470-68218-0. — European pharmacopeial perspective — complements USP/AOAC.
  10. Kazakevich, Yuri V., and Rosario LoBrutto, eds.. 2007. HPLC for Pharmaceutical Scientists. Wiley-Interscience. ISBN 978-0-471-68162-4. https://doi.org/10.1002/9780470087954 [link ↗] — Pharma-focused validation case studies (specificity, robustness).
  11. European Medicines Agency (EMA). 2011. Guideline on bioanalytical method validation EMEA/CHMP/EWP/192217/2009. EMA Committee for Medicinal Products for Human Use. [link ↗] — EMA bioanalytical companion to ICH Q2(R1) for clinical samples.

· ⚠ Avvisi normativi SVHC/REACH ↑

🔧 Risoluzione dei problemi HPLC — albero decisionale 6 problemi comuni

Diagnostica dei 12 problemi HPLC più comuni con albero decisionale (5 passaggi per problema). Fonte: Snyder/Kirkland/Dolan 3rd ed. Chapter 17 + LCGC LC Troubleshooting columns 1989-2024.

Picchi allargati (broad peaks) medium

Sintomo: Tutti i picchi nel cromatogramma sono più larghi del previsto (FWHM > 2× della norma)

🔍 Albero diagnostico:
  1. 1. Verifica se tutti i picchi sono allargati o solo alcuni
    → SÌ: Tutti → problema strumentale (colonna o sistema)
    → NO: Solo alcuni → problema chimico (interazione con la colonna per analiti specifici)
  2. 2. Sostituisci con una colonna di prova — il problema scompare?
    → SÌ: COLONNA usurata — packing danneggiato, void nei primi mm. Sostituiscila.
    → NO: Problema nel sistema LC
  3. 3. Controllare il volume morto (dead volume) — loop di iniezione, connessioni, rivelatore
    → SÌ: Loop > 100 µL per una colonna da 4.6 mm o connessioni allentate → sostituire le ferrule, accorciare i tubi
    → NO: Continua diagnostica
  4. 4. Test di temperatura: aumentare la colonna da 25°C a 40°C
    → SÌ: Picchi più stretti → cinetica di trasferimento di massa troppo lenta (aumentare T)
    → NO: Continue
  5. 5. Controllare il flow rate rispetto al valore ottimale di van Deemter per questa colonna
    → SÌ: Ottimale per 4.6mm/5µm = 1.0 mL/min, per 2.1mm/3µm = 0.4 mL/min
    → NO: Continue
⚠️ Cause comuni:
  • Colonna usurata (>2000 iniezioni senza guard)
  • Volume morto del sistema > 100 µL (loop errato, tubi lunghi, ferrule allentate)
  • Temperatura troppo bassa (cinetica di trasferimento di massa)
  • Flow rate al di fuori dell'ottimale di van Deemter
  • Solvente del campione più forte della fase A
✓ Soluzioni:
  • ✓ Sostituire la colonna (quando >2000 iniezioni)
  • ✓ Controllare tutte le connessioni — tubi il più corti possibile
  • ✓ Aumentare la T della colonna a 40°C (se la sostanza è stabile)
  • ✓ Ridurre il flow all'ottimale di van Deemter
  • ✓ Sciogliere il campione nella fase A (non in organico puro)
Coda dei picchi (tailing, T > 1.5) high

Sintomo: I picchi presentano una "coda" prolungata sul lato di eluizione tardiva (asimmetria T = b/a > 1.5 secondo USP)

🔍 Albero diagnostico:
  1. 1. La sostanza contiene gruppi basici (ammino, piridina)?
    → SÌ: Sì → interazioni silanoliche! Aggiungere 0.1% TFA o 5-10 mM TEA alla fase A.
    → NO: Continue
  2. 2. Controllare il pH della fase mobile rispetto al pKa della sostanza
    → SÌ: pH = pKa ± 1 → ionizzazione parziale, peak split. Portare il pH a ≥ 2 unità di distanza dal pKa.
    → NO: Continue
  3. 3. Controllare l'età della colonna (>1500 iniezioni?)
    → SÌ: Sì → silanoli esposti (column bleed). Sostituire con una colonna con endcapping più elevato (XTerra, Symmetry).
    → NO: Continue
  4. 4. Il campione contiene metalli (Fe, Cu dalle fiale di vetro)?
    → SÌ: Sì → utilizzare fiale incolori di tipo II o PFA. EDTA 0.1mM nel campione.
    → NO: Continue
⚠️ Cause comuni:
  • Interazioni silanoliche (analita basico + silanoli liberi del gel di silice)
  • pH al limite del pKa dell'analita (peak split)
  • Colonna vecchia (column bleed, elevata attività silanolica)
  • Metalli nel campione (chelazione → tailing)
  • Sovraccarico della colonna (>50 µg su una colonna da 4.6mm)
✓ Soluzioni:
  • ✓ Aggiungere 0.1% TFA (UV) o 0.1% acido formico (LC-MS) alla fase A
  • ✓ Scegliere una colonna con endcapping ad alta purezza: Waters XBridge BEH, Phenomenex Kinetex
  • ✓ Lavorare a pH ≥ 2 unità di distanza dal pKa
  • ✓ EDTA 0.1mM nel campione (chelazione Fe/Cu)
  • ✓ Ridurre il volume di iniezione a ≤ 20 µL per una colonna da 4.6mm
Deriva della linea di base (baseline drift) medium

Sintomo: La linea di base aumenta o diminuisce sistematicamente per >5 minuti

🔍 Albero diagnostico:
  1. 1. Si sta utilizzando un gradiente (B% in aumento)?
    → SÌ: Sì → assorbimento diverso delle fasi A e B a dλ. Cambio di solvente nell'UV-cutoff. Controllare l'assorbanza UV del % di organico.
    → NO: Continua (isocratico)
  2. 2. Controllare la temperatura della colonna — è stabile a ±0.5°C?
    → SÌ: Sì (stabile) → continua
    → NO: Instabile → attivare il termostato della colonna (>25°C controllato)
  3. 3. Test: spegnere l'autosampler, far funzionare solo pompa+colonna+rivelatore
    → SÌ: La deriva scompare → contaminazione dell'autosampler (pulire l'ago, il septum)
    → NO: Continue
  4. 4. Controllare l'età della lampada (D2 per UV)
    → SÌ: Sì (>1500 ore) → sostituire la lampada
    → NO: Continue
⚠️ Cause comuni:
  • Eluizione a gradiente con UV-cutoff diverso delle fasi
  • T della colonna instabile
  • Contaminazione dell'ago/septum dell'autosampler
  • Lampada UV vecchia (>1500h)
  • Cella di flusso del rivelatore sporca
  • Colonna non equilibrata (<10 volumi di colonna)
✓ Soluzioni:
  • ✓ Pre-equilibrare la colonna per 10-15 volumi di colonna al 100% A
  • ✓ Termostato colonna attivo, T 30-40°C stabile
  • ✓ Pulire la flow cell del rivelatore con soluzione ACN:H2O 50:50
  • ✓ Sostituire la lampada D2 se >1500h
  • ✓ Usare la baseline subtraction (funzione nativa Chromeleon, Empower)
Nessun picco / picco perso (no peak) critical

Sintomo: Il picco atteso dell'analita non compare nel cromatogramma

🔍 Albero diagnostico:
  1. 1. L'iniezione è stata effettivamente eseguita?
    → SÌ: Controllare il log dell'autocampionatore, la pressione della pompa (dovrebbe calare durante l'iniezione)
    → NO: Problema dell'autocampionatore → controllare il loop, l'ago, il campione nella fiala
  2. 2. Il campione è nella fiala (volume corretto, non evaporato)?
    → SÌ: Continue
    → NO: Nessun campione — ri-pipettare
  3. 3. Stabilità del campione — preparato >24h fa?
    → SÌ: Sì → degradazione. Ri-preparare un campione fresco.
    → NO: Continue
  4. 4. Controllare la lunghezza d'onda di rilevazione rispetto al λmax della sostanza
    → SÌ: Rilevazione a λ NON corrisponde al λmax → nessun segnale. Scansione DAD 200-400nm.
    → NO: Continue
  5. 5. Test: iniettare uno standard puro (di concentrazione nota, fresco)
    → SÌ: Lo standard dà un picco → problema con il campione (matrice, derivatizzazione)
    → NO: Nessun picco anche con lo standard → problema di sistema (colonna, fase, gradiente)
⚠️ Cause comuni:
  • Campione non prelevato dalla fiala (bug dell'autocampionatore)
  • Campione degradato (>24h pH/temp/luce)
  • Rilevazione alla lunghezza d'onda errata
  • Fase mobile errata (es. TFA dimenticato)
  • Colonna invertita / fase stazionaria errata
  • La sostanza eluisce sul fronte (V0) → non trattenuta, non visibile
✓ Soluzioni:
  • ✓ Ri-preparare un campione fresco secondo il protocollo esatto
  • ✓ Scansione UV-Vis DAD 200-400nm + ricerca del λmax
  • ✓ Controllare la composizione della fase mobile — TFA aggiunto?
  • ✓ Testare la direzione inversa della colonna (con cautela!)
  • ✓ Per ritenzione <1 min — abbassare il % B, MeOH al posto di ACN
  • ✓ Controllare la tabella "expected_rt" in wp_molgod_hplc_methods
Pressione troppo alta (pressure too high) critical

Sintomo: Pressione della pompa > 80% del massimo della colonna o shutdown del sistema con errore high-pressure

🔍 Albero diagnostico:
  1. 1. Controllare che la colonna sia collegata correttamente (direzione della freccia)
    → SÌ: OK
    → NO: Colonna invertita → invertirla (non lavorare mai "al contrario")
  2. 2. Test: rimuovere la colonna dal sistema, far girare pompa+rivelatore da soli
    → SÌ: La pressione scende a <50 bar → problema nella colonna (intasata)
    → NO: La pressione rimane alta → filtro in-line intasato, frit sporco
  3. 3. Controllare il filtro pre-colonna (frit in-line)
    → SÌ: Sporco e brunastro → sostituire
    → NO: Continue
  4. 4. Retro-lavare la colonna con ACN:H2O 50:50 senza la colonna — scompare?
    → SÌ: Particelle bloccate nel primo mm — un flush di 30 min può recuperarla
    → NO: Sostituire la colonna
⚠️ Cause comuni:
  • Filtro in-line (frit) intasato da particelle
  • Salting-out del buffer (precipitazione ad alto %B)
  • Il campione contiene materiale in sospensione (filtrare a 0.22 µm prima dell'iniezione)
  • Colonna intasata (compattazione del letto della colonna)
  • Gradiente con fase buffer + molto organico → precipitazione del sale
✓ Soluzioni:
  • ✓ Filtrare SEMPRE il campione con PVDF 0.22 µm prima dell'iniezione
  • ✓ Sostituire il filtro in-line ogni 100 iniezioni (o quando la pressione aumenta >20%)
  • ✓ NON usare buffer fosfato >20mM + >70% ACN (il sale precipita)
  • ✓ Lavare la colonna per 30 min con ACN:H2O 50:50 in direzione inversa (quando il produttore lo consente)
  • ✓ Pre-colonna 4×3mm per proteggere la colonna principale
Picchi fantasma (ghost peaks) high

Sintomo: Picchi inspiegabili sul cromatogramma assenti nella calibrazione

🔍 Albero diagnostico:
  1. 1. Test: iniezione in bianco (solvente puro del campione)
    → SÌ: Compare un ghost → contaminazione del sistema o degli eluenti
    → NO: Compare solo con il campione → matrice
  2. 2. Il ghost cresce con il gradiente (eluisce ad alta %B)?
    → SÌ: Sì → colonna sovraccarica o composti fortemente trattenuti dalla corsa precedente
    → NO: Indipendente dal gradiente → carryover dell'autocampionatore
  3. 3. Increase carryover wash (between injections)
    → SÌ: Aiuta → il carryover era la causa. Protocollo di lavaggio più forte.
    → NO: Continue
  4. 4. Iniezione di acqua pura — c'è un picco?
    → SÌ: Sì → contaminazione della fonte d'acqua (sostanze organiche dal sistema DI)
    → NO: Continue
⚠️ Cause comuni:
  • Carryover nell'ago/loop dell'autocampionatore
  • Contaminazione dell'eluente (anche di grado HPLC)
  • Componenti fortemente trattenuti da corse precedenti
  • Plastica nelle fiale (ftalati, PEG dai tappi)
  • Acqua DI insufficientemente purificata
✓ Soluzioni:
  • ✓ Rafforzare il protocollo di lavaggio: 100% B → 100% A → 50:50 (3 cicli)
  • ✓ Lavaggio forte: DMSO 100% o MeOH 100% prima della calibrazione
  • ✓ Filtrare gli eluenti con PTFE 0.22 µm in caso di dubbio
  • ✓ Usare vetro ambrato + tappi con rivestimento in Teflon per i campioni
  • ✓ Rampa di gradiente periodica fino a 100% B per 10 min (clean-out)
📚 Riferimenti scientifici (Chicago Author-Date) — fare clic per espandere
  1. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. John Wiley & Sons. Chapter 17 (Troubleshooting) pp. 559-616. ISBN 978-0-470-16754-0. https://doi.org/10.1002/9780470508183 [link ↗]
  2. Dolan, John W.. 2014. LC Troubleshooting (monthly column 1989-2024). LCGC North America. [link ↗] — John Dolan 35-letnia seria miesięcznych artykułów problemowych
  3. Kromidas, Stavros. 2017. HPLC Made to Measure: A Practical Handbook for Optimization. 2nd ed. Wiley-VCH. ISBN 978-3-527-31377-1. — Praktyczny przewodnik problem-solving dla labs analitycznych
  4. Dolan, John W.. 2013. When to Modify Method Conditions. 192-199. [link ↗] — Decision flow for changing flow rate / temperature / %B vs swapping columns.
  5. Dong, Michael W.. 2019. HPLC and UHPLC for Practicing Scientists. 2nd ed. Wiley. ISBN 978-1-119-31378-3. https://doi.org/10.1002/9781119313793 [link ↗] — Chapter 9 covers troubleshooting modern UHPLC systems (sub-2 µm particles).
  6. Meyer, Veronika R.. 2010. Practical High-Performance Liquid Chromatography. 5th ed. Wiley. ISBN 978-0-470-68218-0. — Solid step-by-step problem isolation chapter (eluents, columns, instruments).
  7. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. Practical HPLC Method Development. 2nd ed. Wiley. ISBN 978-0-471-00703-6. — Method-development companion volume with troubleshooting cross-refs.
  8. Carr, Peter W.. 2009. The new physical chemistry of HPLC. 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094 [link ↗] — Theoretical basis for diagnosing efficiency losses (mass-transfer, eddy diffusion).
  9. Heyden, Yvan Vander, et al.. 2009. Robustness of pharmaceutical liquid chromatographic methods. 2120-2129. https://doi.org/10.1016/j.jchromb.2008.10.052 [link ↗] — How to diagnose method failures vs. system failures (Plackett-Burman).
  10. Engelhardt, Heinz. 2014. 100 Years of Chromatography. 2nd ed. Wiley-VCH. ISBN 978-3-527-33473-5. — Historical context for ghost-peak phenomenology (silica chemistry).
  11. Stoll, Dwight R., and Peter W. Carr. 2017. Two-Dimensional Liquid Chromatography: A State of the Art Tutorial. 519-531. https://doi.org/10.1021/acs.analchem.6b03506 [link ↗]
  12. Carr, Peter W.. 2009. The new physical chemistry of HPLC. 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094 [link ↗]
  13. Wu, Naijun, and Anton M. Clausen. 2007. Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations. 1167-1182. https://doi.org/10.1002/jssc.200700026 [link ↗]
  14. Engelhardt, Heinz. 2014. 100 Years of Chromatography. 2nd ed. Wiley-VCH. ISBN 978-3-527-33473-5.
  15. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. Probabilistic approach to peak deconvolution in chromatography. 8525-8531. https://doi.org/10.1021/ac101742z [link ↗]
🧪 Solubilità e compatibilità con i solventi MolGod_SOLUB_1
Molecola
Acrylamide
Formula
C3H5NO
logP
-0.70
Massa (g/mol)
71.08
Polarità
Idrofila (polare)

⚠️ Stima HSP (letteratura / group contribution). Dati indicativi — non sostituiscono le prove sperimentali.

Solvente Compat. Ra Visuale GC-MS HPLC Applications Riferimenti
Water (H₂O)− Scarsa25.7
✗ NieA (aqueous) (RP)
tamponecoltura cellulareanaliticoestrazione (idrofila)
Ethanol (EtOH)+ Buona7.0
✗ NieA/B modifier (RP/NP)
extractionspettroscopia (UV-Vis)sintesimodificatore HPLC
Methanol (MeOH)+ Buona9.0
✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent do 205 nm
Acetone~ Media13.1
✗ NieB modifier (NP)
GC headspacecristallizzazionesgrassaggiosintesi
Acetonitrile (ACN)− Scarsa15.6
✗ NieB (RP) (RP)
eluente HPLC (gold standard)LC-MS (wolny cut-off UV 190 nm)analisi dei peptidi
DMSO~ Media9.5
✗ NieN/A (N/A)
NMR (d6-DMSO)biologia cellulare (crioconservazione)somministrazione di farmacisintesi
THF~ Media12.2
✗ NieB (NP) (NP)
GPC/SEC (analisi dei polimeri)sintesi di Grignardorganometallici
DCM (CH₂Cl₂)~ Media13.0
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScristallizzazione (anti-solvente)
Chloroform (CHCl₃)− Scarsa14.9
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)estrazione dei lipidi (metodo Folch)NP-TLC
Hexane− Scarsa22.7
✓ TakA (NP) (NP)
NP-HPLCestrazione di oli (lipidi)GC-MSTLC (NP)
Toluene− Scarsa18.9
✓ TakB (NP) (NP)
NMR (d8-toluene)sintesiessiccazione azeotropica Dean-Stark
📚 Riferimenti scientifici per i solventi (Chicago Author-Date) — clicca per espandere

11 solventi × 5 fonti scientifiche indipendenti (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/Wypych/Armarego/Snyder/GESTIS). 55+ citazioni complete di seguito.

Water (H₂O)
  1. NIST — NIST Chemistry WebBook — Water (CAS 7732-18-5)
  2. CRC — CRC Handbook of Chemistry and Physics, 104th ed., Sec. 8 (Properties of Water)
  3. IAPWS — IAPWS Release on Static Dielectric Constant of Water
  4. Reichardt 2011 — Solvents and Solvent Effects in Organic Chemistry
  5. GESTIS — GESTIS Substance Database — Water
Ethanol (EtOH)
  1. NIST — NIST Chemistry WebBook — Ethanol (CAS 64-17-5)
  2. CRC — CRC Handbook — Ethanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — Ethanol eluotropic
  4. Smallwood — Handbook of Organic Solvent Properties — Ethanol
  5. GESTIS — GESTIS Substance Database — Ethanol
Methanol (MeOH)
  1. NIST — NIST Chemistry WebBook — Methanol (CAS 67-56-1)
  2. CRC — CRC Handbook — Methanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — MeOH eluotropic, eo=0.95
  4. GESTIS — GESTIS Substance Database — Methanol
Acetone
  1. NIST — NIST Chemistry WebBook — Acetone (CAS 67-64-1)
  2. CRC — CRC Handbook — Acetone physical & thermodynamic constants
  3. Hansen 2007 — Hansen Solubility Parameters — Acetone (dD=15.5, dP=10.4, dH=7.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Acetone
  5. GESTIS — GESTIS Substance Database — Acetone
Acetonitrile (ACN)
  1. NIST — NIST Chemistry WebBook — Acetonitrile (CAS 75-05-8)
  2. CRC — CRC Handbook — Acetonitrile constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — ACN gold-standard HPLC eluent
  4. Reichardt 2011 — Solvents and Solvent Effects — ACN dipolar aprotic
  5. GESTIS — GESTIS Substance Database — Acetonitrile
DMSO
  1. NIST — NIST Chemistry WebBook — DMSO (CAS 67-68-5)
  2. Wypych 2019 — Handbook of Solvents Vol. 1 — DMSO comprehensive properties
  3. Hansen 2007 — HSP — DMSO (dD=18.4, dP=16.4, dH=10.2)
  4. Reichardt 2011 — Solvents and Solvent Effects — DMSO E_T(30)=45.1, dipolar aprotic
  5. GESTIS — GESTIS Substance Database — DMSO
THF
  1. NIST — NIST Chemistry WebBook — THF (CAS 109-99-9)
  2. Armarego 2009 — Purification of Laboratory Chemicals — THF drying & peroxide test
  3. Hansen 2007 — Hansen Solubility Parameters — THF (dD=16.8, dP=5.7, dH=8.0)
  4. Smallwood — Handbook of Organic Solvent Properties — THF
  5. GESTIS — GESTIS Substance Database — Tetrahydrofuran
DCM (CH₂Cl₂)
  1. NIST — NIST Chemistry WebBook — Dichloromethane (CAS 75-09-2)
  2. IARC 71 — IARC Monograph 71 — DCM (Group 2A carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — DCM (dD=18.2, dP=6.3, dH=6.1)
  4. Reichardt 2011 — Solvents and Solvent Effects — DCM polarity index
  5. GESTIS — GESTIS Substance Database — Dichloromethane
Chloroform (CHCl₃)
  1. NIST — NIST Chemistry WebBook — Chloroform (CAS 67-66-3)
  2. IARC 73 — IARC Monograph 73 — Chloroform (Group 2B carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — CHCl3 (dD=17.8, dP=3.1, dH=5.7)
  4. Reichardt 2011 — Solvents and Solvent Effects — CHCl3 H-bond donor strength
  5. GESTIS — GESTIS Substance Database — Chloroform
n-Hexane
  1. NIST — NIST Chemistry WebBook — n-Hexane (CAS 110-54-3)
  2. ATSDR n-Hexane — ATSDR Toxicological Profile for n-Hexane — neuropatia obwodowa (n-Heksan NIE jest kancerogenem IARC)
  3. Hansen 2007 — Hansen Solubility Parameters — n-Hexane (dD=14.9, dP=0, dH=0)
  4. Snyder & Kirkland — Modern Liquid Chromatography — n-Hexane NP standard, eo=0.00
  5. GESTIS — GESTIS Substance Database — n-Hexane
Toluene
  1. NIST — NIST Chemistry WebBook — Toluene (CAS 108-88-3)
  2. IARC 71 — IARC Monograph 71 — Toluene
  3. Hansen 2007 — Hansen Solubility Parameters — Toluene (dD=18.0, dP=1.4, dH=2.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Toluene
  5. GESTIS — GESTIS Substance Database — Toluene
Teoria della solubilità (applicata nella previsione della compatibilità):
  1. Yalkowsky, Samuel H., and Shri C. Valvani. 1980. "Solubility and Partitioning I: Solubility of Nonelectrolytes in Water." Journal of Pharmaceutical Sciences 69 (8): 912–922. https://doi.org/10.1002/jps.2600690814 — General Solubility Equation (GSE): logS = 0.5 − logP − 0.01(MP−25).
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. CRC Press. https://doi.org/10.1201/9781420006834 — Tripletta HSP (dD, dP, dH) + formula Ra.
  3. Stefanis, E., and C. Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." Int J Thermophys 29: 568–585. https://doi.org/10.1007/s10765-008-0415-z
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Wiley-VCH. https://doi.org/10.1002/9783527632220 — E_T(30) polarity scale, solwatochromia.
  5. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Wiley. https://doi.org/10.1002/9780470508183 — Eluotropic series, polarity index.
  6. Van Krevelen, D. W., and K. Te Nijenhuis. 2009. Properties of Polymers. 4th ed. Elsevier. https://doi.org/10.1016/B978-0-08-054819-7.X0001-5 — Hoftyzer–Van Krevelen group contribution dla dD/dP/dH z SMILES.
  7. Marcus, Yizhak. 1998. The Properties of Solvents. Wiley Series in Solution Chemistry, Vol. 4. ISBN 9780471983699 — Set tabulare completo di 250+ solventi (ε, μ, donicità, numeri di accettore).
  8. PubChem Compound Database — CAS 79-06-1 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Bibliografia completa nell'accordion RIFERIMENTI (in fondo alla pagina) — Chicago Manual of Style 17th ed., Author-Date.

📚 FAQ tecniche — Acrylamide (5) MolGod_TECHFAQ_1
❓ Jak przygotować roztwór standardowy akrylamidu o stężeniu 10 mg/mL?
Aby przygotować roztwór standardowy akrylamidu (CAS 79-06-1) o stężeniu 10 mg/mL, należy odważyć 10 mg substancji (co odpowiada około 0.14 mol) i rozpuścić w 1 mL rozpuszczalnika (np. metanolu lub wody dejonizowanej). Masa akrylamidu potrzebna do przygotowania roztworu: masa = stężenie × objętość = 10 mg/mL × 1 mL = 10 mg. Wzór chemiczny: C3H5NO, masa molowa: 71.08 g/mol.
Utile?
❓ Jak przechowywać akrylamid (CAS 79-06-1) w laboratorium?
Akrylamid należy przechowywać w szczelnie zamkniętych pojemnikach, w temperaturze 2-8°C, z dala od światła słonecznego i źródeł ciepła. Wilgotność względna powietrza nie powinna przekraczać 65%. Substancja jest higroskopijna, więc należy unikać kontaktu z wilgocią.
Utile?
❓ Jaka metoda analityczna jest najlepsza do oznaczania akrylamidu w próbkach żywności?
Dla akrylamidu (logP nieokreślony, MW 71.08 g/mL) zalecana jest chromatografia cieczowa wysokosprawna (HPLC) z detektorem UV lub fluorescencyjnym. Metoda GC może być stosowana po odpowiedniej derywatyzacji próbki.
Utile?
❓ Jakie są główne niezgodności chemiczne akrylamidu (CAS 79-06-1)?
Akrylamid reaguje z silnymi utleniaczami (np. nadtlenkiem wodoru) i zasadami (np. NaOH). Nie należy go przechowywać w obecności reduktorów lub kwasów organicznych, które mogą prowadzić do niepożądanych reakcji. Substancja jest również toksyczna i wymaga ostrożnego obchodzenia się.
Utile?
❓ W jakich zastosowaniach laboratoryjnych wykorzystuje się akrylamid (CAS 79-06-1)?
Akrylamid jest stosowany jako monomer w produkcji poliakrylamidu, używanego w żelach elektroforetycznych do rozdziału białek i kwasów nukleinowych. W analizie chemicznej służy jako wzorzec do oznaczania zawartości w próbkach żywności i środowiskowych.
Utile?
🧮 Calcolatori da laboratorio (8) MolGod_LABCALC_1
Dilution (C₁V₁=C₂V₂)
Molarità (M=n/V)
Tampone pH (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Massa → Moli
Concentration % → M
ppm → mg/L
Temperature C↔F↔K

Formule verificate: IUPAC Gold Book ↗, DOI ↗

📊 Database di spettri spettroscopici MolGod_SPECDB_3
📋 Generatore di protocolli di laboratorio MolGod_PROTOCOL_1

Protocollo generato sulla base di: GHS SDS, Aldrich Lab Guide ↗

🏷️ Generatore di etichette (QR) MolGod_LABEL_1
Acrilammide• ACRYLAMIDE• CAS: 79-06-1• EC: 201-173-7• Formula: C3H5NO• Massa: 71.08 g/molPERICOLOINDICAZIONI DI PERICOLO GHS:H350: Può provocare il cancro.H340: Può provocare alterazioni genetiche.H332: Nocivo se inalato.H312: Nocivo per contatto con la pelle.DH ScientificScience first. Commerce as consequence.N. lotto: Massa netta: Prod.:
ADMET — profilo farmacologico

Grafico radar di drug-likeness (Lipinski Ro5 / Veber). Zona verde = conformità ai criteri.

Dati predittivi — proprietà calcolate in silico (SMILES/RDKit). Non sostituiscono gli studi clinici. Non utilizzare per la valutazione di farmaci senza verifica sperimentale.

MW71.1LogP-0.7HBD1HBA1RotB1TPSA43.1 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (MW=71, LogP=-0.7)✗ REOS (MW=71)✓ Lead-like Ro3
ProprietàValoreValutazione
Absorption (GI)alto✓
Permeabilità BBBsì (attraversa)
Biodisponibilità (Daina 2017)
55%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
Allerte PAINS1⚠
Allerte Brenk1⚠
pKa (pH 7.4)9 (predicted)
hERG (cardiotox.)✓ no
Substrato P-gp—
Mutagenicità Ames✓ no
DILI (epatotox.)—
LogS (solub. acq.)—
Fonti (metodologia ADMET)
  1. Lipinski, Christopher A., Franco Lombardo, Beryl W. Dominy, and Paul J. Feeney. 1997. "Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings." Advanced Drug Delivery Reviews 23 (1-3): 3-25.
  2. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, et al. 2002. "Molecular properties that influence the oral bioavailability of drug candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  3. Daina, Antoine, Olivier Michielin, and Vincent Zoete. 2017. "SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness." Scientific Reports 7: 42717.
  4. Egan, William J., and Gregory Lauri. 2002. "Prediction of intestinal permeability." Advanced Drug Delivery Reviews 54 (3): 273-289.
  5. Baell, Jonathan B., and Georgina A. Holloway. 2010. "New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries." Journal of Medicinal Chemistry 53 (7): 2719-2740.
  6. Brenk, Ruth, Alessandro Schipani, Daniel James, et al. 2008. "Lessons learnt from assembling screening libraries for drug discovery for neglected diseases." ChemMedChem 3 (3): 435-444.
  7. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions." Journal of Cheminformatics 1: 8.
  8. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  9. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  10. Ghose, Arup K., Vellarkad N. Viswanadhan, and John J. Wendoloski. 1999. "A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery." Journal of Combinatorial Chemistry 1 (1): 55-68.
  11. Tice, Raymond R., Christopher P. Austin, Robert J. Kavlock, and John R. Bucher. 2013. "Improving the Human Hazard Characterization of Chemicals: A Tox21 Update." Environmental Health Perspectives 121 (7): 756-765.
  12. Leeson, Paul D., and Brian Springthorpe. 2007. "The Influence of Drug-Like Concepts on Decision-Making in Medicinal Chemistry." Nature Reviews Drug Discovery 6 (11): 881-890.
  13. Hann, Michael M. 2011. "Molecular Obesity, Potency and Other Addictions in Drug Discovery." MedChemComm 2 (5): 349-355.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Walters, W. Patrick, and Mark A. Murcko. 2002. "Prediction of 'Drug-Likeness.'". Advanced Drug Delivery Reviews 54 (3): 255–271. https://doi.org/10.1016/S0169-409X(02)00003-0.
  16. Congreve, Miles, Robin Carr, Christopher Murray, and Harren Jhoti. 2003. "A 'Rule of Three' for Fragment-Based Lead Discovery?" Drug Discovery Today 8 (19): 876–877. https://doi.org/10.1016/S1359-6446(03)02831-9.
  17. Brenk, Ruth, Alessandro Schipani, Daniel James, Agata Krasowski, Iain Hugh Gilbert, Julie Frearson, and Paul Graham Wyatt. 2008. "Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases." ChemMedChem 3 (3): 435-444.
  18. Schomburg, Karen T., Sascha Bietz, Hans Briem, Andrea M. Henzler, Stefan Urbaczek, and Matthias Rarey. 2014. "Facing the Challenges of Structure-Based Target Prediction by Inverse Virtual Screening." Journal of Chemical Information and Modeling 54 (6): 1676-1686.
  19. Bemis, Guy W., and Mark A. Murcko. 1996. "The Properties of Known Drugs. 1. Molecular Frameworks." Journal of Medicinal Chemistry 39 (15): 2887-2893.
  20. Schomburg, Karen T., and Matthias Rarey. 2014. "What Is the Potential of Structure-Based Target Prediction Methods?" Future Medicinal Chemistry 6 (17): 1987-1989.
  21. Jackson, Paul A., John C. Widen, Daniel A. Harki, and Kay M. Brummond. 2017. "Covalent Modifiers: A Chemical Perspective on the Reactivity of α,β-Unsaturated Carbonyls with Thiols via Hetero-Michael Addition Reactions." Journal of Medicinal Chemistry 60 (3): 839-885. ↗
  22. Jackson, Paul A., et al. 2017. "Covalent Modifiers: A Chemical Perspective on the Reactivity of α,β-Unsaturated Carbonyls with Thiols via Hetero-Michael Addition Reactions." Journal of Medicinal Chemistry 60 (3): 839-885. ↗
  23. Jong‐Su Park, Palas Samanta, Sangwoo Lee et al.. (2021). "Developmental and Neurotoxicity of Acrylamide to Zebrafish". International Journal of Molecular Sciences. https://doi.org/10.3390/ijms22073518
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  25. N. Muttucumaru, Stephen J. Powers, J. Stephen Elmore et al.. (2016). "Acrylamide-forming potential of potatoes grown at different locations, and the ratio of free asparagine to reducing sugars at which free asparagine becomes a limiting factor for acrylamide formation". Food Chemistry. https://doi.org/10.1016/j.foodchem.2016.09.199
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  46. Raloff, Janet. 2002. "Cooking up a carcinogen: Should we worry about all that acrylamide in our diet?." Science News 162 (8): 120-121. https://doi.org/10.2307/4013720. [DOI ↗]
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  53. et al. 2026. "ATRA-mediated RAR-α activation attenuates acrylamide-induced testicular toxicity." DOI: 10.1038/s41598-026-50168-z. [DOI ↗]
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🧪 Assistente di preparazione della soluzione (Smart Prep) MolGod_PREP_2

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📚 Panoramica della letteratura scientifica — CAS 79-06-1MolGod_LITHUB_MAIN
⭐ Risultati principali (letteratura scientifica) 20 publications
🏆 CAS 79-06-1 — multi-criteria ranking (W12): 30% citazioni · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    et al. (2026) · Scientific Reports
    Perché è importante: Recente (2026) · open access
    SCORE 10.08 Meccanismo Citazioni: 2 Open Access DOI ↗ PubMed ↗
  2. #2
    et al. (2026) · Frontiers in Nutrition
    Perché è importante: Recente (2026) · open access
    SCORE 8.65 Meccanismo Open Access DOI ↗ PubMed ↗
  3. #3
    et al. (2026) · Molecules
    Perché è importante: Recente (2026) · open access
    SCORE 8.65 Meccanismo Open Access DOI ↗ PubMed ↗
  4. #4
    Reda M. Abdelhameed; Randa S. Hasan; Hassan Abdel-Gawad (2025) · Scientific Reports
    Perché è importante: Recente (2025) · open access
    SCORE 7.95 Industria Citazioni: 1 Open Access DOI ↗ PubMed ↗
  5. #5
    et al. (2026) · Biology
    Perché è importante: Recente (2026) · open access
    SCORE 7.85 Farmacologia Open Access DOI ↗ PubMed ↗
  6. #6
    et al. (2026) · Micromachines
    Perché è importante: Recente (2026) · open access
    SCORE 7.85 Meccanismo Open Access DOI ↗ PubMed ↗
  7. #7
    et al. (2026) · Environmental Toxicology
    Perché è importante: Recente (2026) · open access
    SCORE 7.15 Farmacologia Citazioni: 1 Open Access DOI ↗ PubMed ↗
  8. #8
    et al. (2026) · Molecules
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Meccanismo Open Access DOI ↗ PubMed ↗
  9. #9
    et al. (2026) · RSC Medicinal Chemistry
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Meccanismo Open Access DOI ↗ PubMed ↗
  10. #10
    et al. (2026) · Acta Orthopaedica et Traumatologica Turcica
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Industria Open Access DOI ↗ PubMed ↗
  11. #11
    et al. (2026) · Scientific Reports
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Meccanismo Open Access DOI ↗ PubMed ↗
  12. #12
    Fahriye Zemheri‐Navruz; Sinan Ince; Gamze Ataman (2026) · Journal of Biochemical and Molecular Toxicology
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Farmacologia Open Access DOI ↗ PubMed ↗
  13. #13
    et al. (2026) · Gels
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Meccanismo Open Access DOI ↗ PubMed ↗
  14. #14
    Eman M.S. Shaheen; Marwa A. E. Abd El‐Maksoud (2026) · Journal of Biochemical and Molecular Toxicology
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Farmacologia Open Access DOI ↗ PubMed ↗
  15. #15
    Milan Mandal; Seth Agrippa Oppong; Keka Ojha (2026) · ACS Omega
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Meccanismo Open Access DOI ↗ PubMed ↗
  16. #16
    J. Wojciechowska-Puchałka, E. Drąg-Kozak, K. Kustra et al. (2026) · Poultry Science
    Perché è importante: Recente (2026) · open access
    SCORE 7.05 Meccanismo Open Access DOI ↗
  17. #17
    Ghanayem BI; Bai R; Kissling GE et al. (2010) · Biology of reproduction
    Perché è importante: Must-cite (canone) · 131 citations
    SCORE 6.36 Meccanismo MUST-CITE Citazioni: 131 DOI ↗
  18. #18
    et al. (2026) · BMC Pharmacology and Toxicology
    Perché è importante: Recente (2026) · open access
    SCORE 6.25 Farmacologia Open Access DOI ↗ PubMed ↗
  19. #19
    Seyed Jamaleddin Peighambardoust, Hamzeh Khatooni, Naeimeh Sadat Peighambardoust (2026) · Scientific Reports
    Perché è importante: Recente (2026) · open access
    SCORE 6.25 Meccanismo Open Access DOI ↗
  20. #20
    Damian Chandia-Poblete, Stéphane Tuffier, Efstathios Vryonidis et al. (2026) · EClinicalMedicine
    Perché è importante: Recente (2026) · open access
    SCORE 6.25 Meccanismo Open Access DOI ↗
📈 Gradiente HPLC — ottimizzatore (LSS) MODELLO

Gradiente basato su PubChem XLogP3 + LSS (Snyder et al. 2010, cap. 9).

  • Colonna: C18
  • Tampone: phosphate
  • Flusso: 1 mL/min
  • logP: -0.7 (PubChem XLogP3)
  • Ramp: 5% → 95% B, 10 min
  • Tempo totale di analisi: 23 min
t (min) %A %B flow (mL/min) Commento
0 95 5 1 avvio (equilibrio)
2 95 5 1 fine mantenimento iniziale
12 5 95 1 fine rampa LSS
17 5 95 1 lavaggio della colonna
18 95 5 1 ritorno a init
23 95 5 1 riequilibrazione
📚 Riferimenti scientifici (Chicago Author-Date)
  1. Snyder, Lloyd R., John W. Dolan, and Joseph J. Kirkland. 2010. Introduction to Modern Liquid Chromatography. Wiley. — Chapter 9 — gradient elution, LSS theory (cited as Snyder et al. 2010 in tool description).
  2. Schoenmakers, Peter J. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier. — Numerical optimization of gradient programs.
  3. Snyder, L. R., and J. W. Dolan. 2007. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley. — Foundational LSS reference for the %B_init = 5 + 8·logP heuristic implemented here.
  4. Nikitas, Pavlos, and Adrian Pappa-Louisi. 2009. "Retention models for isocratic and gradient elution in reversed-phase liquid chromatography." Journal of Chromatography A 1216: 1737-1755. [DOI ↗] — Modern review of gradient retention models — basis for non-LSS extensions.
  5. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. [DOI ↗]
  6. Dong, Michael W. 2019. HPLC and UHPLC for Practicing Scientists. Wiley. https://doi.org/10.1002/9781119313793. — Modern UHPLC gradient programming, sub-2 µm scaling rules.
  7. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. [DOI ↗]
  8. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531. [DOI ↗] — Reference for orthogonal gradient design (2D-LC second dimension).
  9. Dolan, John W.. 2013. "When to Modify Method Conditions." LCGC North America 31: 192-199.
  10. Meyer, Veronika R. 2010. Practical High-Performance Liquid Chromatography. Wiley. — Chapter 7 — practical gradient design with isokratyczny scouting.
  11. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531. [DOI ↗]
  12. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. [DOI ↗]
  13. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. [DOI ↗]
  14. Engelhardt, Heinz. 2014. 100 Years of Chromatography. Wiley-VCH.
  15. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531. [DOI ↗]

REST: /wp-json/molgod/v1/hplc/gradient/79-06-1

📐 Calcolatore della simmetria del picco HPLC (USP Tf / As)

Calcola il fattore di tailing USP (T) e l'asimmetria (As) dalle semilarghezze del picco. Inserisci a (semilarghezza sinistra) e b (semilarghezza destra) misurate al 5% o 10% dell'altezza del picco.

📚 Riferimenti (Chicago Author-Date)
  1. USP General Chapter <621>. 2024. "Chromatography." United States Pharmacopeial Convention. [link ↗] — Defines USP Tailing Factor T = (a+b)/(2a) measured at 5% peak height.
  2. International Council for Harmonisation (ICH). 2023. "Validation of Analytical Procedures Q2(R2)." ICH Expert Working Group. [link ↗] — Tailing factor is a system suitability parameter (Section 6).
  3. Foley, Joe P., and John G. Dorsey. 1983. "Equations for calculation of chromatographic figures of merit for ideal and skewed peaks." Analytical Chemistry 55: 730-737 https://doi.org/10.1021/ac00255a033 [link ↗] — Original asymmetry factor As = b/a at 10% height (Foley & Dorsey 1983).
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. "Introduction to Modern Liquid Chromatography." Wiley. https://doi.org/10.1002/9780470508183 [link ↗] — Chapter 2.4 — peak shape diagnostics and remedies.
  5. Dolan, John W.. 2003. "Peak tailing and resolution." LCGC North America 21: 610-614 [link ↗] — How tailing factor degrades effective resolution.
  6. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531 https://doi.org/10.1021/ac101742z [link ↗] — Modern numerical deconvolution for asymmetric peaks.
  7. Kromidas, Stavros. 2017. "HPLC Made to Measure: A Practical Handbook for Optimization." Wiley-VCH. — Practical Tf and As thresholds for routine QC.
  8. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists." Wiley. https://doi.org/10.1002/9781119313793 [link ↗]
  9. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography." Wiley.
  10. Heyden, Yvan Vander, et al.. 2009. "Robustness of pharmaceutical liquid chromatographic methods." Journal of Chromatography B 877: 2120-2129 https://doi.org/10.1016/j.jchromb.2008.10.052 [link ↗]
  11. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531 https://doi.org/10.1021/acs.analchem.6b03506 [link ↗]
  12. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772 https://doi.org/10.1016/j.chroma.2008.11.094 [link ↗]
  13. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182 https://doi.org/10.1002/jssc.200700026 [link ↗]
  14. Engelhardt, Heinz. 2014. "100 Years of Chromatography." Wiley-VCH.
  15. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531 https://doi.org/10.1021/ac101742z [link ↗]
📊 Calcolatore di risoluzione e numero di piatti (Rs, N, H)

Calcola la risoluzione Rs, il numero di piatti teorici N e l'HETP (H) per una coppia di picchi HPLC. Inserisci i tempi di ritenzione, le larghezze dei picchi (al 50% o alla base) e la lunghezza della colonna.

📚 Riferimenti (Chicago Author-Date)
  1. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. "Introduction to Modern Liquid Chromatography." 3rd ed. John Wiley & Sons. ISBN 978-0-470-16754-0. https://doi.org/10.1002/9780470508183 [link ↗] — Chapter 2 covers resolution, plate count and HETP fundamentals (Snyder et al. 2010).
  2. USP General Chapter <621>. 2024. "Chromatography." USP-NF 2024 ed. United States Pharmacopeial Convention. [link ↗] — Defines Rs >= 1.5 acceptance criterion and N calculation methods.
  3. Dolan, John W.. 2003. "How much resolution is enough?." LCGC North America 21: 350-353 [link ↗] — Practical guidance on Rs targets for routine method development.
  4. Van Deemter, J. J., F. J. Zuiderweg, and A. Klinkenberg. 1956. "Longitudinal diffusion and resistance to mass transfer as causes of nonideality in chromatography." Chemical Engineering Science 5: 271-289 https://doi.org/10.1016/0009-2509(56)80003-1 [link ↗] — Origin of N = 5.54·(tr/w0.5)² half-height plate count formulation.
  5. Giddings, J. Calvin. 1965. "Dynamics of Chromatography, Part I: Principles and Theory." Marcel Dekker. ISBN 978-0-8247-1357-7. — Resolution equation Rs = (1/4)·√N·(α-1)/α·k/(1+k) (master equation).
  6. Foley, Joe P., and John G. Dorsey. 1983. "Equations for calculation of chromatographic figures of merit for ideal and skewed peaks." Analytical Chemistry 55: 730-737 https://doi.org/10.1021/ac00255a033 [link ↗] — Skewed-peak corrections to apparent N.
  7. Knox, John H.. 1977. "Practical aspects of LC theory." Journal of Chromatographic Science 15: 352-364 https://doi.org/10.1093/chromsci/15.9.352 [link ↗]
  8. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772 https://doi.org/10.1016/j.chroma.2008.11.094 [link ↗]
  9. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists." 2nd ed. Wiley. ISBN 978-1-119-31378-3. https://doi.org/10.1002/9781119313793 [link ↗]
  10. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography." 5th ed. Wiley. ISBN 978-0-470-68218-0.
  11. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531 https://doi.org/10.1021/acs.analchem.6b03506 [link ↗]
  12. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772 https://doi.org/10.1016/j.chroma.2008.11.094 [link ↗]
  13. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182 https://doi.org/10.1002/jssc.200700026 [link ↗]
  14. Engelhardt, Heinz. 2014. "100 Years of Chromatography." 2nd ed. Wiley-VCH. ISBN 978-3-527-33473-5.
  15. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531 https://doi.org/10.1021/ac101742z [link ↗]

Related products

🧪 System Suitability — calcolatore live (USP <621>)

Inserisci i dati di 5-6 iniezioni (areas, tr, tailing, plates) — il calcolatore calcolerà %RSD, le medie e verificherà la conformità con USP <621>. Puoi incollare un CSV (separato da virgole) o modificare i singoli valori.

📚 Riferimenti (Chicago Author-Date)
  1. USP General Chapter <621>. 2024. "Chromatography (System Suitability section)." USP-NF 2024 ed. United States Pharmacopeial Convention. [link ↗] — Defines RSD area < 2%, tailing < 2.0, N > 2000 acceptance criteria.
  2. International Council for Harmonisation (ICH). 2023. "Validation of Analytical Procedures Q2(R2)." ICH Expert Working Group. [link ↗] — Section 5.4 — system suitability is part of method validation.
  3. US Food and Drug Administration (FDA). 2018. "Reviewer Guidance: Validation of Chromatographic Methods." US Food and Drug Administration. [link ↗] — CDER reviewer perspective on chromatographic validation expectations.
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. "Introduction to Modern Liquid Chromatography." 3rd ed. Wiley. — Chapter 2 — system suitability fundamentals (RSD, Tf, N).
  5. Heyden, Yvan Vander, et al.. 2009. "Robustness of pharmaceutical liquid chromatographic methods." — Robustness vs. system suitability — design-of-experiments framework.
  6. Rozet, Eric, et al.. 2013. "Analysis of recent pharmaceutical regulatory documents on analytical method validation."
  7. European Medicines Agency (EMA). 2011. "Guideline on bioanalytical method validation EMEA/CHMP/EWP/192217/2009." EMA. [link ↗] — EMA companion guideline with bioanalytical SS criteria.
  8. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists." 2nd ed. Wiley. — UHPLC-specific suitability adjustments (n=5 vs. n=6).
  9. Kazakevich, Yuri V., and Rosario LoBrutto, eds.. 2007. "HPLC for Pharmaceutical Scientists." Wiley-Interscience.
  10. AOAC International. 2016. "Appendix F: Guidelines for Standard Method Performance Requirements." AOAC INTERNATIONAL. [link ↗] — Alternative SS thresholds for food/dietary samples.
  11. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial."
  12. Carr, Peter W.. 2009. "The new physical chemistry of HPLC."
  13. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations."
  14. Engelhardt, Heinz. 2014. "100 Years of Chromatography." 2nd ed. Wiley-VCH.
  15. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography."

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📚 RIFERIMENTI (Bibliografia complessiva, Chicago Author-Date) 107 elementi

Tutte le fonti scientifiche citate negli accordion sopra per il CAS 79-06-1.Formato: Chicago Manual of Style 17ª ed., sistema Author-Date.

🗄️ Banche dati scientifiche

  1. NIST. 2026. NIST Chemistry WebBook: CAS 79-06-1. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=79-06-1. (Accessed 2026-11-12.)
  2. AIST. 2026. Spectral Database for Organic Compounds (SDBS): CAS 79-06-1. Tsukuba, Japan: National Institute of Advanced Industrial Science and Technology. https://sdbs.db.aist.go.jp/. (Accessed 2026-11-12.)
  3. PubChem. 2026. PubChem Compound Summary: CAS 79-06-1. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=79-06-1. (Accessed 2026-11-12.)
  4. ECHA. 2026. C&L Inventory and REACH Registration: CAS 79-06-1. Helsinki: European Chemicals Agency. https://echa.europa.eu/information-on-chemicals/annex-vi-to-clp. (Accessed 2026-11-12.)

📐 Standard / Linee guida

  1. ICH. 2026. "ICH Harmonised Guideline: CAS 79-06-1." Geneva: International Council for Harmonisation. https://database.ich.org/sites/default/files/Q1A%28R2%29%20Guideline.pdf. (Accessed 2026-11-12.)
  2. National Fire Protection Association (NFPA). 2024. "NFPA 30: Flammable and Combustible Liquids Code." NFPA, Quincy, MA. https://www.nfpa.org/codes-and-standards/all-codes-and-standards/list-of-codes-and-standards/detail?code=30.
  3. Occupational Safety and Health Administration (OSHA). 2023. "29 CFR 1910.106 — Flammable Liquids." U.S. Department of Labor, Federal Register. https://www.osha.gov/laws-regs/regulations/standardnumber/1910/1910.106.
  4. European Chemicals Agency (ECHA). 2024. "Annex VI to Regulation (EC) No 1272/2008 (CLP) — Harmonised Classification and Labelling." ECHA, Helsinki / Official Journal of the European Union. https://echa.europa.eu/regulations/clp/clp-classification.
  5. European Committee for Standardization (CEN). 2016. "EN 374-1:2016 — Protective gloves against dangerous chemicals and micro-organisms — Part 1: Terminology and performance requirements for chemical risks." CEN, Brussels. https://standards.cencenelec.eu/dyn/www/f?p=205:110:::::FSP_PROJECT,FSP_ORG_ID:38536,6080&cs=1B0DAA8B85DF42E4A2C70E5D71F0BFA32.
  6. European Committee for Standardization (CEN). 2001. "EN 166:2001 — Personal eye-protection — Specifications." CEN, Brussels. https://standards.cencenelec.eu/dyn/www/f?p=CEN:110:0::::FSP_PROJECT:6541&cs=1F1A4E0A78C4DB6A28DBE2E8C29D89DCF.
  7. European Committee for Standardization (CEN). 2009. "EN 14605:2005+A1:2009 — Protective clothing against liquid chemicals — Performance requirements for clothing with liquid-tight (Type 3) or spray-tight (Type 4) connections." CEN, Brussels. https://standards.cencenelec.eu/dyn/www/f?p=CEN:110:0::::FSP_PROJECT:21581&cs=1A04A2D3C7CC58E9E6CB58D55F7EBFB7E.
  8. National Institute for Occupational Safety and Health (NIOSH). 2017. "Recommendations for Chemical Protective Clothing: A Companion to the NIOSH Pocket Guide." U.S. Department of Health & Human Services / CDC. https://www.cdc.gov/niosh/ncpc/default.html.
  9. Occupational Safety and Health Administration (OSHA). 2011. "Personal Protective Equipment — General requirements." U.S. Department of Labor — 29 CFR 1910.132. https://www.osha.gov/laws-regs/regulations/standardnumber/1910/1910.132.

📖 Libri

  1. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook, 2nd ed.. Boca Raton, FL: CRC Press. https://www.routledge.com/Hansen-Solubility-Parameters-A-Users-Handbook/Hansen/p/book/9780849372483.
  2. Barton, Allan F. M. 1991. CRC Handbook of Solubility Parameters and Other Cohesion Parameters: 2nd ed.. Boca Raton, FL: CRC Press. https://www.routledge.com/CRC-Handbook-of-Solubility-Parameters-and-Other-Cohesion-Parameters/Barton/p/book/9780849301766.
  3. Connors, Kenneth A., Gordon L. Amidon, and Valentino J. Stella. 1986. Chemical Stability of Pharmaceuticals: A Handbook for Pharmacists, 2nd ed.. New York: Wiley. https://doi.org/10.1002/0471734683.
  4. Rumble, John R., ed. 2019. CRC Handbook of Chemistry and Physics: 100th Edition. Boca Raton, FL: CRC Press. https://hbcp.chemnetbase.com/.
  5. Urben, Peter G. 2017. Bretherick's Handbook of Reactive Chemical Hazards, 8th Edition. Academic Press / Elsevier, Oxford. https://www.sciencedirect.com/book/9780081010594.

📘 Monographs

  1. IARC. 2026. IARC Monographs on the Identification of Carcinogenic Hazards to Humans: CAS 79-06-1. Lyon, France: International Agency for Research on Cancer, World Health Organization. https://monographs.iarc.who.int/list-of-classifications/. (Accessed 2026-11-12.)

📄 Articoli scientifici (peer-reviewed)

  1. Stefanis, Emmanuel, and Costas Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." International Journal of Thermophysics 29: 568-585. https://doi.org/10.1007/s10765-008-0415-z.
  2. Stoll, Vincent S., and John S. Blanchard. 1990. "Buffers: Principles and Practice: In Methods in Enzymology, vol. 182." San Diego: Academic Press. https://doi.org/10.1016/0076-6879(90)82008-P.

🌐 Siti web

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  3. ECHA. 2023. "Candidate List of Substances of Very High Concern for Authorisation." European Chemicals Agency. https://echa.europa.eu/candidate-list-table.
  4. European Parliament. 2008. "Regulation (EC) No 1272/2008 on Classification, Labelling and Packaging of Substances and Mixtures (CLP)." Official Journal of the European Union L 353: 1–1355.
  5. ECHA. 2017. "Guidance on the Compilation of Safety Data Sheets." Version 3.1. European Chemicals Agency. ECHA-17-G-01-EN. https://echa.europa.eu/documents/10162/23047722/sds_en.pdf.
  6. ECHA. 2022. "Restrictions Under REACH — Annex XVII." European Chemicals Agency. https://echa.europa.eu/substances-restricted-under-reach.
  7. United Nations. 2021. Globally Harmonized System of Classification and Labelling of Chemicals (GHS). 9th revised ed. ST/SG/AC.10/30/Rev.9. New York and Geneva: United Nations. https://unece.org/ghs-rev9-2021.
  8. ECHA. 2020. "Understanding REACH." European Chemicals Agency. https://echa.europa.eu/regulations/reach/understanding-reach.
  9. U.S. OSHA. 2026. "Occupational Safety and Health Guidance: CAS 79-06-1." Washington, DC: U.S. Occupational Safety and Health Administration. https://www.osha.gov/hazwoper. (Accessed 2026-11-12.)
  10. National Fire Protection Association (2018) — NFPA 472: Standard for Competence of Responders to Hazardous Materials/Weapons of Mass Destruction Incidents https://www.nfpa.org/codes-and-standards/nfpa-472.
  11. European Union. 2026. "EUR-Lex Legal Database: CAS 79-06-1." Luxembourg: Publications Office of the European Union. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32012L0018. (Accessed 2026-11-12.)
  12. U.S. National Institute for Occupational Safety and Health (2024) — NIOSH Pocket Guide to Chemical Hazards https://www.cdc.gov/niosh/npg/.
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  14. Schoenmakers, Peter J.. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier.
  15. Snyder, L. R., and J. W. Dolan. 2007. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley.
  16. Nikitas, Pavlos, and Adrian Pappa-Louisi. 2009. "Retention models for isocratic and gradient elution in reversed-phase liquid chromatography." Journal of Chromatography A 1216: 1737-1755. https://doi.org/10.1016/j.chroma.2008.10.005.
  17. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094.
  18. Dong, Michael W.. 2019. HPLC and UHPLC for Practicing Scientists. Wiley. https://doi.org/10.1002/9781119313793.
  19. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. https://doi.org/10.1002/jssc.200700026.
  20. Dolan, John W.. 2013. "When to Modify Method Conditions." LCGC North America 31: 192-199. https://www.chromatographyonline.com/view/when-modify-method-conditions.
  21. Meyer, Veronika R.. 2010. Practical High-Performance Liquid Chromatography. Wiley.
  22. Engelhardt, Heinz. 2014. 100 Years of Chromatography. Wiley-VCH.
  23. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531. https://doi.org/10.1021/ac101742z.
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