acetato di DL-alfa-tocoferile — etichetta CAS 7695-91-2

acetato di DL-alfa-tocoferile

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Witamina E (octan DL-alfa-tokoferylu), CAS 7695-91-2

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MolGod_SDSCARD_1
REACH 2020/878
v2 · 21.07.2026
Kategoria:
🧬 Visualizzatore di molecole 3D
Caricamento molecola...
Modello 3D Dl-alpha-tocopherol acetate, CAS 7695-91-2, formula molecolare C31H52O3, massa molare 472.7 g/mol

Dati trascritti da registri normativi e letteratura tecnica, con indicazione della fonte e dell'edizione. Non sostituiscono la scheda di dati di sicurezza del fornitore. I campi privi di fonte registrata sono contrassegnati come tali.

Panoramica chimica: Dl-alpha-tocopherol acetateMolGod_OVERVIEW_1
Formula molecolareC31H52O3[1]
Peso molecolare472.7 g/mol[1]
Punto di fusione27 °C[1]
LogP (lipofilia)10.8[1]
Nome IUPAC[2,5,7,8-tetramethyl-2-(4,8,12-trimethyltridecyl)-3,4-dihydrochromen-6-yl] acetate[1]
SMILESCC1=C(C(=C(C2=C1OC(CC2)(C)CCCC(C)CCCC(C)CCCC(C)C)C)OC(=O)C)C[1]
InChIKeyZAKOWWREFLAJOT-UHFFFAOYSA-N[1]

Sinonimi: DL-alpha-Tocopherol acetate · 52225-20-4 · all-rac-alpha-Tocopheryl acetate · (+-)-alpha-Tocopherol acetate · WR1WPI7EW8

Fonti dei dati: PubChem (NLM/NIH)
Ultimo aggiornamento: 2026-07-11

📚 Riferimenti scientifici (Chicago Author-Date) (1 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Formula molecolare · Peso molecolare · Punto di fusione · LogP (lipofilia) · Nome IUPAC · SMILES · InChIKey
📊 Proprietà fisico-chimiche

Riferimento rapido

Formula: C31H52O3
MW: 472.7 g/mol
CAS: 7695-91-2
🔬 Proprietà avanzate

Identificatori chimici

SMILES: CC1=C(C(=C(C2=C1OC(CC2)(C)CCCC(C)CCCC(C)CCCC(C)C)C)OC(=O)C)C
InChI: InChI=1S/C31H52O3/c1-21(2)13-10-14-22(3)15-11-16-23(4)17-12-19-31(9)20-18-28-26(7)29(33-27(8)32)24(5)25(6)30(28)34-31/h21-23H,10-20H2,1-9H3
InChIKey: ZAKOWWREFLAJOT-UHFFFAOYSA-N

Ultimo aggiornamento: 2026-07-11

Stato normativo della sostanza
Questa sostanza è soggetta a requisiti normativi: gestione dei rifiuti pericolosi (BDO). Dettagli nella sezione "Stato normativo (REACH/ECHA/CLP)" e nella scheda SDS. Informazione normativa — non limita l'acquisto nel negozio.
🧮 Calcolatore stechiometricoMolGod_STOICH_1
🔍 Identificatori esterniMolGod_EXTID_1
6 su 16 sistemi ID38%
DatabaseIdentificatoreAzioni
CAS Registry Number7695-91-2Apri →
PubChem CID2117[1]Apri →
InChIKeyZAKOWWREFLAJOT-UHFFFAOYSA-N[1]Apri →
InChIInChI=1S/C31H52O3/c1-21(2)13-10-14-22(3)15-11-16…[1]
SMILESCC1=C(C(=C(C2=C1OC(CC2)(C)CCCC(C)CCCC(C)CCCC(C)C…[1]
ChEMBLCHEMBL247481[2]Apri →

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

📚 Riferimenti scientifici (Chicago Author-Date) (2 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: PubChem CID · InChIKey · InChI · SMILES
  2. ChEMBL. European Bioinformatics Institute (EMBL-EBI), bioactivity database. ↗ dotyczy: ChEMBL
📡 Spettroscopia — CAS 7695-91-2MolGod_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

I dati vengono scaricati una sola volta (parser JCAMP-DX) e salvati nel database locale del plugin. Nessun download duplicato, nessuna query a NIST alle aperture successive. Licenze rispettate (vengono pubblicati solo un deep link e una visualizzazione propria).

🔬 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.

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) 2 campi MolGod Score: Nessuna fonte
Proprietà Valore Unità Conditions Source
Punto di fusione 27 [1] °C 1 atm No primary source
logP (ottanolo/acqua) 10.8 [1] — No primary source
📚 Riferimenti scientifici (Chicago Author-Date) (1 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Punto di fusione · logP (ottanolo/acqua)
🔄 Convertitore di unità di concentrazione LIVE MolGod_UNITCONV_1

Inserisci la concentrazione Dl-alpha-tocopherol acetate in qualsiasi unità — il resto verrà calcolato automaticamente.

MW: 472.7 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 ↗

🛡️ Sicurezza — CAS 7695-91-2MolGod_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).

🚨 Indicazioni di pericolo (H)

  • H413 — Può essere nocivo per gli organismi acquatici con effetti di lunga durata.

🛡 Consigli di prudenza (P)

  • P273 — Non disperdere nell’ambiente.
  • P391 — Raccogliere il materiale fuoriuscito.
  • P501 — Smaltire il prodotto/recipiente in …

⚠ Classificazione basata sul consenso delle fonti (PubChem / notifiche dei fornitori) — non verificata rispetto alla classificazione armonizzata dell'allegato VI (CLP). L'ambito dei pericoli può essere più ampio della classificazione ufficiale; prima dell'uso verificare con la scheda di dati di sicurezza aggiornata del fornitore.

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: 7695-91-2 · 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)
🧪 Solubilità e compatibilità con i solventi MolGod_SOLUB_1
Molecola
Dl-alpha-tocopherol acetate
Formula
C31H52O3
logP (XLogP3)
10.80
Massa (g/mol)
472.7
Polarità
Idrofoba (apolare)

⚠️ Stima GC (Hoftyzer-Van Krevelen). Nessun dato HSP di letteratura per questo CAS — precisione ±2 MPa½. Verificare sperimentalmente.

Tabela kompatybilności rozpuszczalników niedostępna dla tej substancji.
Parametry Hansena są poza zakresem metody, więc odległości Ra nie da się policzyć, a w bazie nie ma pomiaru rozpuszczalności, którym można by je zastąpić. Zamiast jedenastu ocen bez podstawy nie pokazujemy żadnej. Dobór rozpuszczalnika oprzyj na karcie charakterystyki i danych eksperymentalnych.
📚 Riferimenti scientifici per i solventi (Chicago Author-Date) — clicca per espandere

11 solventi · 54 citazioni complete (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/Wypych/Armarego/Snyder/GESTIS) — sotto.

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 7695-91-2 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

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

🧮 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
Acetato di DL-alfa-tocoferile• DL-alpha-Tocopherol acetate / 52225-20-4• CAS: 7695-91-2• Formula: C31H52O3• Massa: 472.7 g/molINDICAZIONI DI PERICOLO GHS:(autoclassificazione dei fornitori — non vincolante)H413: Può essere nocivo per gli organismi acquatici con effetti di lunga durata.P391: Raccogliere il materiale fuoriuscito.P501: Smaltire il prodotto/recipiente in …DH ScientificScience first. Commerce as consequence.N. lotto: Massa netta: Prod.:
Deskryptory Lipinskiego (struktura)

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.

MW472.7LogP10.8HBD0HBA3RotB14TPSA35.5 Ų
✓ Lipinski Ro5✗ Veber✗ Egan✗ Ghose (LogP=10.8)✗ REOS (LogP=10.8, RotB=14)✗ Lead-like Ro3 (MW=473, LogP=10.8, RotB=14)
ProprietàValoreValutazione
Absorption (GI)basso⚠
Permeabilità BBBno
Biodisponibilità (Daina 2017)
17%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
Allerte PAINS0✓
Allerte Brenk0✓
pKa (pH 7.4)7 (heuristic)
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. Bolton, Evan E., Yanli Wang, Paul A. Thiessen, and Stephen H. Bryant. 2008. "PubChem: Integrated Platform of Small Molecules and Biological Activities." Annual Reports in Computational Chemistry 4: 217-241. [DOI ↗]
  22. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  23. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  24. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  25. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  26. Cheng, Tiejun, et al. 2014. "Computation of Octanol-Water Partition Coefficients by Guiding an Additive Model with Knowledge." Journal of Chemical Information and Modeling 54 (3): 793-805. [DOI ↗]
  27. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  28. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  29. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, Brian R. Smith, Keith W. Ward, and Kenneth D. Kopple. 2002. "Molecular Properties That Influence the Oral Bioavailability of Drug Candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  30. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  31. Groom, Colin R., Ian J. Bruno, Matthew P. Lightfoot, and Suzanna C. Ward. 2016. "The Cambridge Structural Database." Acta Crystallographica Section B 72 (2): 171-179. ↗
  32. Mohsen A. Hedaya. 2003. "Basic Pharmacokinetics." mohsen A. hedaya. ↗
🧪 Assistente di preparazione della soluzione (Smart Prep) MolGod_PREP_2

Inserisci cosa vuoi preparare — genererò una SOP

Esempi qui sotto — clicca per inserire:
Ricette predefinite:
📚 Panoramica della letteratura scientifica — CAS 7695-91-2MolGod_LITHUB_MAIN
⭐ Risultati principali (letteratura scientifica) 2 publications
🏆 CAS 7695-91-2 — multi-criteria ranking (W12): 30% citazioni · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    Kensaku Okamoto, Hirotoshi Tanaka, Yuichi Makino et al. (1998) · Biochemical Pharmacology
    Perché è importante: Selezionate tramite punteggio multi-criterio (citations + recency + topic + historical + OA).
    SCORE 6.84 Meccanismo Citazioni: 55 DOI ↗
  2. #2
    Kihal A; Rodríguez-Prado ME; Cristofol C et al. (2021) · Animals : an open access journal from MDPI
    Perché è importante: Must-cite (canone)
    SCORE 5.84 Analitica MUST-CITE Citazioni: 6 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: 10.8 (PubChem XLogP3)
  • Ramp: 50% → 95% B, 25 min
  • Tempo totale di analisi: 38 min
t (min) %A %B flow (mL/min) Commento
0 50 50 1 avvio (equilibrio)
2 50 50 1 fine mantenimento iniziale
27 5 95 1 fine rampa LSS
32 5 95 1 lavaggio della colonna
33 50 50 1 ritorno a init
38 50 50 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.

REST: /wp-json/molgod/v1/hplc/gradient/7695-91-2

📐 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 ↗]
📊 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.
🧪 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.
📤 Incorpora questa molecola sul tuo sito

Hai un blog, un forum o un sito scientifico? Incorpora la molecola 3D interattiva nel tuo sito — la vedrà ogni tuo lettore,e sotto trova un link al nostro negozio dove può acquistare il reagente.

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📚 RIFERIMENTI (Bibliografia complessiva, Chicago Author-Date) 126 elementi

Tutte le fonti scientifiche citate negli accordion sopra per il CAS 7695-91-2.Formato: Chicago Manual of Style 17ª ed., sistema Author-Date.

🗄️ Banche dati scientifiche

  1. NIST. n.d. NIST Chemistry WebBook: CAS 7695-91-2. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=7695-91-2.
  2. AIST. n.d. Spectral Database for Organic Compounds (SDBS): CAS 7695-91-2. Tsukuba, Japan: National Institute of Advanced Industrial Science and Technology. https://sdbs.db.aist.go.jp/.
  3. Linstrom, Peter J., and William G. Mallard, eds. n.d. NIST Chemistry WebBook: NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology. https://doi.org/10.18434/T4D303.
  4. PubChem. n.d. PubChem Compound Summary: CAS 7695-91-2. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=7695-91-2.
  5. U.S. EPA. n.d. CompTox Chemicals Dashboard: CAS 7695-91-2. Research Triangle Park, NC: U.S. Environmental Protection Agency. https://comptox.epa.gov/dashboard/chemical/details/DTXSID20859032.

📐 Standard / Linee guida

  1. ICH. 2003. "Stability Testing of New Drug Substances and Products: Q1A(R2)." Geneva: International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. https://database.ich.org/sites/default/files/Q1A%28R2%29%20Guideline.pdf.
  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.

📄 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

  1. ECHA. 2023. "Guidance on the Application of the CLP Criteria." European Chemicals Agency. https://echa.europa.eu/guidance-documents/guidance-on-clp.
  2. European Parliament. 2006. "Regulation (EC) No 1907/2006 (REACH)." Official Journal of the European Union L 396: 1–849.
  3. ECHA. 2023. "Candidate List of Substances of Very High Concern for Authorisation." European Chemicals Agency. https://echa.europa.eu/candidate-list-table.
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