difluoromethane

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R-32 (difluorometan), CAS 75-10-5

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MolGod_SDSCARD_1
REACH 2020/878
v2 · 15.07.2026
Category:
🧬 3D Molecule Visualizer
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3D model Difluoromethane, CAS 75-10-5, molecular formula CH2F2, molar mass 52.023 g/mol
Chemical Overview: DifluoromethaneMolGod_OVERVIEW_1
Molecular formulaCH2F2
Molecular weight52.023 g/mol
Melting point-136.8 °C
Boiling point-51.65 °C
Density1.21 g/cm³
LogP (lipophilicity)1
IUPAC namedifluoromethane
SMILESC(F)F
InChIKeyRWRIWBAIICGTTQ-UHFFFAOYSA-N

Synonyms: DIFLUOROMETHANE · 75-10-5 · Methylene difluoride · Methane, difluoro- · Freon 32

Data sources: PubChem (NLM/NIH)
Last updated: 2026-11-10

📊 Physicochemical properties

Quick Reference

Formula: CH2F2
MW: 52.02 g/mol
CAS: 75-10-5
Appearance: Colorless gas

Detailed Properties

Property Value Unit Conditions Source
Density (ρ) 1.2100 g/cm³ 20 °C (68 °F)
Melting Point (mp) -136.80 °C (-214.2 °F) 1 atm
Boiling Point (bp) -51.65 °C (-61 °F) 1 atm
🔬 Advanced Properties

Chemical Identifiers

SMILES: C(F)F

Data sources: PubChem, NIST Chemistry WebBook, CRC Handbook of Chemistry and Physics (103rd ed.)

Last updated: 2026-07-11

Regulatory status of the substance
This substance is subject to regulatory requirements: hazardous waste management (BDO register). Details in the \"Regulatory Status (REACH/ECHA/CLP)\" section and on the SDS. Regulatory information — does not restrict purchase in this store.
🧮 Stoichiometry CalculatorMolGod_STOICH_1
🔍 External identifiersMolGod_EXTID_1
10 of 16 ID systems63%
DatabaseIdentifierActions
CAS Registry Number75-10-5Open →
PubChem CID6345Open →
InChIKeyRWRIWBAIICGTTQ-UHFFFAOYSA-NOpen →
InChIInChI=1S/CH2F2/c2-1-3/h1H2
SMILESC(F)F
EC Number200-839-4Open →
HMDBHMDB0251269Open →
ChemSpider6105Open →
UNII (FDA)77JW9K722XOpen →
WikiData QIDQ421742Open →

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

📡 Spectroscopy — CAS 75-10-5MolGod_SPECHUB_MAIN
📊 Spectroscopic spectra databases — inline data 9 sources MolGod_SPECDB_2

Spectra are fetched on demand from 9 sources. Each spectrum is stored in our database — the next time it is opened there are zero requests to the external API. Download JCAMP-DX / CSV / PNG for every spectrum without searching.

IR IR (Infrared) — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
— points
📚 NIST Chemistry WebBook, SRD 69
MS (NIST) Mass Spectrum (EI) — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
— points
📚 NIST Standard Reference Database 1A
UV-Vis UV/Visible Absorption — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
— points
📚 NIST Chemistry WebBook, SRD 69
¹H NMR NMR (¹H, ¹³C) — NMRShiftDB
CC-BY-SA 4.0
▶ Click to load spectrum
🔗 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
▶ Click to load spectrum
🔗 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

Reference source — no public API. Open in an external database:

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

Reference source — no public API. Open in an external database:

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

Reference source — no public API. Open in an external database:

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

Reference source — no public API. Open in an external database:

🔗 DOAJ →
📚 DOAJ — doaj.org
🔬 Interactive spectra (live — NIST / MoNA / NMRShiftDB / SDBS) (2)

Data retrieved live from multiple sources (priority chain). JCAMP-DX / CSV / PNG available for download under each spectrum.

IR — Fourier-transform infrared

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MS — Mass spectrometry (EI 70eV)

Loading MS — Mass spectrometry (EI 70eV)…

📐 Physical & Chemical Properties (DB) 4 fields MolGod Score: No source
Property Value Unit Conditions Source
Melting point -136.80 °C 1 atm
Boiling point -51.65 °C 760 mmHg
Density (ρ) 1.2100 g/cm³ 20°C
logP (octanol/water) 1.000 — 25°C
📚 Scientific references (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. ↗
🔄 Concentration unit converter LIVE MolGod_UNITCONV_1

Enter the Difluoromethane concentration in any unit — the rest will be calculated automatically.

MW: 52.023 g/mol · IUPAC Gold Book ↗

⚗️ Conversion formulas + citations (per formula)
ConversionFormulaAccuracySource
% (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)
📚 Bibliography (8 authoritative sources)
  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
Solvent compatibilityMolGod_SOLV_1

Estimate based on water solubility and logP. Indicative data — does not replace experimental studies.

SolventCompatibilityNotesReferences
Water~ ModerateModerate logP
EtOH+ GoodEtOH — universal polar solvent
Acetone+ GoodAcetone — good for moderately polar compounds
DCM+ GoodDCM — good for nonpolar compounds
DMSO+ GoodDMSO — strong aprotic solvent
THF+ GoodTHF — broad solubility range
Hexane- PoorPoor solubility in hexane
CHCl3+ GoodCHCl3 — good for moderately polar and nonpolar compounds

Data sources for logP/solubility: logP: 1.00

📚 Scientific references for solvents (Chicago Author-Date) — click to expand

Each solvent is supported by 5 independent scientific sources (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/GESTIS). Full citations below.

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 ↗]
Solubility theory (applied in compatibility prediction):
  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 — HSP triplet (dD, dP, dH) + Ra formula.
  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 75-10-5 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Full bibliography in the REFERENCES accordion (at the bottom of the page) — Chicago Manual of Style 17th ed., Author-Date.

🛡️ Safety — CAS 75-10-5MolGod_SAFEHUB_MAIN
Data limitations notice. The safety information on this page is for reference only and does not replace a full safety data sheet (SDS). Before using the product, consult the manufacturer's current safety data sheet and the GHS/CLP guidance. The CLP classification applies to the pure bulk substance, not to commercial formulations.

GHS/CLP classification — Regulation (EC) No 1272/2008 + UN GHS Rev. 9 (2021).

⚠️ Danger
GHS02 — Flammable
GHS02 Flammable
GHS04 — Gases under pressure
GHS04 Gases under pressure
GHS07 — Irritant / harmful
GHS07 Irritant / harmful

🚨 Hazard statements (H)

  • H220 — Extremely flammable gas
  • H280 — Contains gas under pressure; may explode if heated
  • H336 — May cause drowsiness or dizziness

🛡 Precautionary statements (P)

  • P203 — Obtain, read and follow all safety instructions before use

⚠ Classification based on a consensus of sources (PubChem / supplier notifications) — not verified against the harmonised classification in Annex VI (CLP). The scope of hazards may be broader than the official classification; verify against the supplier's current safety data sheet before use.

Translations: CLP Regulation (EC) 1272/2008, Annexes III and IV. Data: PubChem/NLM.

📚 Consolidated scientific references — Chicago Author-Date 10 sources

References collected from all Safety Hub tabs. CAS: 75-10-5 · 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, Regulations
  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

Tabs with their own references (Emergency, PPE, Storage, Waste) contain additional bibliographic entries within their respective sections.

📈 Analytical statistics (t-test · RSD · Grubbs · Q-Dixon) ICH Q2

Paste a series of replicate measurements (CSV, or one number per line). The calculator computes the mean, standard deviation and 95% CI, and detects outliers (Grubbs + Dixon Q).

Separator: comma, space, tab, new line. Minimum 3 measurements.
📐 Statistical formulas
  • x̄ = Σxᵢ / n — arithmetic mean
  • s² = Σ(xᵢ - x̄)² / (n-1) — sample variance
  • s = √s² — standard deviation
  • RSD% = (s / x̄) × 100% — relative standard deviation
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — Grubbs' test
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

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

🔬 HPLC/GC methods (3 methods)
📄
Optimization of Combined Ultrasound and Microwave-Assisted Extraction for Enhanced Bioactive Compounds Recovery from Four Medicinal Plants: Oregano, Rosemary, Hypericum, and Chamomile
HPLCMolecules202493% ✓CC-BYResearch method (specificity, robustness)
Column: C18, 250 x 4.6 mm, 300 μm
Phase: mobile phase was 90% A, 6% B, 4% C and 0% D
Detection: UV 515 nm
Flow: 1.00 mL/min
Temp.: 30.0 °C
Inj.: 20 μL
Gradient: pump and a diode array detector (Shimadzu, Kyoto, Japan)
Laina K, Drosou C, Stergiopoulos C, Eleni P, Krokida M. Optimization of Combined Ultrasound and Microwave-Assisted Extraction for Enhanced Bioactive Compounds Recovery from Four Medicinal Plants: Oregano, Rosemary, Hypericum, and Chamomile. Molecules. 2024;29:5773. doi:10.3390/molecules29235773
This study presents the synergistic application of ultrasound- and microwave-assisted extraction (UAE–MAE) as a novel and efficient method for recovering bioactive compounds from the medicinal plants oregano, rosemary, Hypericum perforatum, and chamomile. Extraction parameters, including microwave (MW) power, ultrasound (US) power, and extraction time, were optimized using the response surface methodology (RSM), with ethanol as the solvent. Extracts were evaluated for total phenolic content (TPC) via the Folin–Ciocalteu method and antioxidant activity (IC50) using the DPPH assay. High-performance liquid chromatography with diode array detection (HPLC–DAD) identified the main bioactive compounds contributing to their antioxidant and therapeutic potential. The optimized UAE–MAE conditions enhanced phenolic recovery and antioxidant potential across all plants. Notably, Hypericum perforatum exhibited the highest TPC (53.7 mg GAE/g) and strongest antioxidant activity (IC50 29.8 mg extract/g) under 200 W MW, 450 W US, and 12 min, yielding 14.5%. Rosemary achieved the highest yield (23.36%) with a TPC of 26.35 mg GAE/g and an IC50 of 40.75 mg extract/g at 200 W MW, 700 W US, and 8 min. Oregano’s optimal conditions (500 W MW, 700 W US, 12 min) produced a TPC of 34.99 mg GAE/g and an IC50 of 50.31 mg extract/g. Chamomile extracts demonstrated lower phenolic content and antioxidant activity but achieved significant yields under 500 W MW, 700 W US, and 5 min. This study highlights UAE–MAE’s superior efficiency, showcasing its potential to maximize phenolic recovery sustainably, making it a promising technique for industrial and therapeutic applications.
antioxidant activitybioactive compoundsextraction optimizationmedicinal plantsmicrowave-assisted extraction (MAE)oreganophenolic compoundsrosemary
📄
Pesticide Residues and Metabolites in Greek Honey and Pollen: Bees and Human Health Risk Assessment
GC-MSFoods202382% ✓CC-BYResearch method (specificity)
Column: C18
Phase: MeOH:H2O and pure acetone, respectively
Detection: MS/MS
Inj.: 20 μL
Kasiotis K, Zafeiraki E, Manea-Karga E, Anastasiadou P, Machera K. Pesticide Residues and Metabolites in Greek Honey and Pollen: Bees and Human Health Risk Assessment. Foods. 2023;12:706. doi:10.3390/foods12040706
Background: Bees encounter a plethora of environmental contaminants during nectar and pollen collection from plants. Consequently, after their entrance into the beehives, the transfer of numerous pollutants to apicultural products is inevitable. Methods: In this context, during the period of 2015–2020, 109 samples of honey, pollen, and beebread were sampled and analyzed for the determination of pesticides and their metabolites. More than 130 analytes were investigated in each sample by applying two validated multiresidue methods (HPLC-ESI-MS/MS and GC-MS/MS). Results: Until the end of 2020, 40 determinations were reported in honey, resulting in a 26% positive to at least one active substance. The concentrations of pesticides ranged from 1.3 ng/g to 785 ng/g honey. For seven active substances in honey and pollen, maximum residue limits (MRLs) exceedances were observed. Coumaphos, imidacloprid, acetamiprid, amitraz metabolites (DMF and DMPF), and tau-fluvalinate were the predominant compounds detected in honey, while several pyrethroids such as λ-cyhalothrin, cypermethrin, and cyfluthrin were also found. Pollen and beebread, as expected, accumulated a higher number of active substances and metabolites (32 in total), exhibiting almost double the number of detections. Conclusions: Although the above findings verify the occurrence of numerous pesticide and metabolite residues in both honey and pollen, the human risk assessment in the majority of the cases does not raise any concerns, and the same applies to bee risk assessment.
pesticidesmetabolitesLC-MS/MSGC-MS/MShoneypollenrisk assessment
📄
Pulsed electric fields-assisted extraction of valuable compounds from red grape pomace: Process optimization using response surface methodology
HPLC-PDAFrontiers in Nutrition202390% ✓CC-BYResearch method (specificity, robustness)
Column: C18, 5 μm
Phase: mobile phase consisted of (A) 100%, v/v acetonitrile, and (B) 10%, v/v…
Detection: UV 700 nm
Flow: 1.00 mL/min
Temp.: 50.0 °C
Inj.: 25 μL
Gradient: consisting of 0–25 min from 2 A to 20% A,…
Carpentieri S, Ferrari G, Pataro G. Pulsed electric fields-assisted extraction of valuable compounds from red grape pomace: Process optimization using response surface methodology. Frontiers in Nutrition. 2023;10:1158019. doi:10.3389/fnut.2023.1158019
BackgroundThe application of Pulsed electric fields as a mild and easily scalable electrotechnology represents an effective approach to selectively intensify the extractability of bioactive compounds from grape pomace, one of the most abundant residues generated during the winemaking process.ObjectiveThis study addressed the optimization of the pulsed electric fields (PEF)-assisted extraction to enhance the extraction yields of bioactive compounds from red grape pomace using response surface methodology (RSM).MethodsThe cell disintegration index (Zp) was identified as response variable to determine the optimal PEF processing conditions in terms of field strength (E = 0.5–5 kV/cm) and energy input (WT = 1–20 kJ/kg). For the solid-liquid extraction (SLE) process the effects of temperature (20–50°C), time (30–300min), and solvent concentration (0–50% ethanol in water) on total phenolic content (TPC), flavonoid content (FC), total anthocyanin content (TAC), tannin content (TC), and antioxidant activity (FRAP) of the extracts from untreated and PEF-treated plant tissues were assessed. The phenolic composition of the obtained extracts was determined via HPLC-PDA.ResultsResults demonstrated that the application of PEF at the optimal processing conditions (E = 4.6 kV/cm, WT = 20 kJ/kg) significantly enhanced the permeabilization degree of cell membrane of grape pomace tissues, thus intensifying the subsequent extractability of TPC (15%), FC (60%), TAC (23%), TC (42%), and FRAP values (31%) concerning the control extraction. HPLC-PDA analyses showed that, regardless of the application of PEF, the most abundant phenolic compounds were epicatechin, p-coumaric acid, and peonidin 3-O-glucoside, and no degradation of the specific compounds occurred upon PEF application.ConclusionThe optimization of the PEF-assisted extraction process allowed to significantly enhance the extraction yields of high-value-added compounds from red grape pomace, supporting further investigations of thi...
pulsed electric fields (PEF)green extractionred grape by-productsbioactive compoundsresponse surface methodologyHPLC-PDA
📈 Method Validation (ICH Q2)

No validation data. Contact the method author.

Parameters per: ICH Q2(R2) ↗

📋 Method comparison
Technique Column Analysis time Detection Mobile phase Source
HPLC C18 — UV 515 nm mobile phase was 90% A, 6% B, 4%… DOI ↗
GC-MS C18 — MS/MS MeOH:H2O and pure acetone, respectively DOI ↗
HPLC-PDA C18 — UV 700 nm mobile phase consisted of (A) 100%, v/v acetonitrile,… DOI ↗
🔧 Troubleshooting HPLC/GC
Broad peaks / tailing
Causes: Worn column, wrong mobile-phase pH, column overload, dead volume
Solution: Replace the column, check buffer pH (±0.2), reduce injection volume, check fittings
Baseline drift
Causes: Contaminated mobile phase, gradient issues, unstable temperature
Solution: Degas the phase, filter 0.22 µm, stabilise column temperature, flush the system
No peak
Causes: Wrong wavelength, analyte does not elute, thermal decomposition, wrong phase
Solution: Check λmax, extend the gradient, lower the temperature, change the mobile phase
Ghost peaks
Causes: System contamination, carry-over, contaminated vials
Solution: Clean the system (MeOH/H₂O), use new vials, inject a blank
Low recovery
Causes: Adsorption to walls, insufficient extraction, decomposition
Solution: Add IS, silanise glassware, optimise extraction, check stability

Sources: Snyder, Kirkland & Dolan ↗, Waters ↗

📊 HPLC method validation (ICH Q2(R1)) PARTIAL

3 metrics need experimental data

Parameter Value Unit ICH Q2 criterion Status
Linearity (R²) no data unitless R² ≥ 0.999 (≥0.99 for bioanalytical) —
LOD (S/N = 3:1) no data ng/mL S/N ≥ 3:1 (lowest detectable concentration) —
LOQ (S/N = 10:1) no data ng/mL S/N ≥ 10:1 (LOQ ≥ 3×LOD typically) —
Precision (RSD intraday, n=6) no data % RSD RSD ≤ 2% (intraday) / ≤ 3% (interday) for the API —
Accuracy (recovery, 3 levels) no data % (target 100±2%) Recovery 98-102% (target 100%) —
Linearity range no data e.g. 0.1-100 ng/mL Min. 80-120% of the nominal concentration —
Selectivity/Specificity no data qualitative No interference — analyte peak fully resolved (Rs ≥ 2.0) —
Robustness no data RSD < 2% at ±5% variation RSD < 2% under small parameter variations —
Legend: ✓ PASS ⚠ CAUTION ✗ FAIL — NO_DATA
📚 Scientific references (Chicago Author-Date) — click to expand

Analytical method validation standards — 4 independent sources (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.

· ⚠ SVHC/REACH regulatory warnings ↑

🔧 HPLC troubleshooting — decision tree 6 common problems

Diagnostics for the 12 most common HPLC problems with a decision tree (5 steps per problem). Source: Snyder/Kirkland/Dolan 3rd ed. Chapter 17 + LCGC LC Troubleshooting columns 1989-2024.

Broad peaks medium

Symptom: All peaks on the chromatogram are wider than expected (FWHM > 2× normal)

🔍 Diagnostic tree:
  1. 1. Check whether all peaks are broadened or only some
    → YES: All → instrumental problem (column or system)
    → NO: Only some → chemistry problem (interaction with the column for specific analytes)
  2. 2. Swap in a test column — does the problem disappear?
    → YES: COLUMN worn out — packing damaged, void in the first few mm. Replace it.
    → NO: Problem in the LC system
  3. 3. Check the dead volume — injection loop, connections, detector
    → YES: Loop > 100 µL for a 4.6 mm column or loose connections → replace ferrules, shorten tubing
    → NO: Continue diagnostics
  4. 4. Temperature test: raise the column from 25°C to 40°C
    → YES: Narrower peaks → mass-transfer kinetics too slow (increase T)
    → NO: Continue
  5. 5. Check flow rate vs the optimal van Deemter value for this column
    → YES: Optimum for 4.6mm/5µm = 1.0 mL/min, for 2.1mm/3µm = 0.4 mL/min
    → NO: Continue
⚠️ Common causes:
  • Column worn out (>2000 injections without a guard)
  • System dead volume > 100 µL (wrong loop, long tubing, loose ferrules)
  • Temperature too low (mass-transfer kinetics)
  • Flow rate outside the van Deemter optimum
  • Sample solvent stronger than mobile phase A
✓ Fixes:
  • ✓ Replace the column (when >2000 injections)
  • ✓ Check all connections — keep tubing as short as possible
  • ✓ Increase column T to 40°C (if the substance is stable)
  • ✓ Reduce flow to the van Deemter optimum
  • ✓ Dissolve the sample in mobile phase A (not in pure organic)
Peak tailing (T > 1.5) high

Symptom: Peaks have an extended "tail" on the late-elution side (asymmetry T = b/a > 1.5 per USP)

🔍 Diagnostic tree:
  1. 1. Does the substance contain basic groups (amino, pyridine)?
    → YES: Yes → silanol interactions! Add 0.1% TFA or 5-10 mM TEA to mobile phase A.
    → NO: Continue
  2. 2. Check the mobile-phase pH vs the substance pKa
    → YES: pH = pKa ± 1 → partial ionization, peak split. Move pH ≥ 2 units away from pKa.
    → NO: Continue
  3. 3. Check the column age (>1500 injections?)
    → YES: Yes → exposed silanols (column bleed). Replace with a column with higher endcapping (XTerra, Symmetry).
    → NO: Continue
  4. 4. Does the sample contain metals (Fe, Cu from glass vials)?
    → YES: Yes → use type II clear vials or PFA. Add 0.1mM EDTA to the sample.
    → NO: Continue
⚠️ Common causes:
  • Silanol interactions (basic analyte + silica gel free silanols)
  • pH at the boundary of the analyte pKa (peak split)
  • Old column (column bleed, high silanol activity)
  • Metals in the sample (chelation → tailing)
  • Column overload (>50 µg on a 4.6mm column)
✓ Fixes:
  • ✓ Add 0.1% TFA (UV) or 0.1% formic acid (LC-MS) to mobile phase A
  • ✓ Choose a column with high-purity endcapping: Waters XBridge BEH, Phenomenex Kinetex
  • ✓ Work at pH ≥ 2 units away from pKa
  • ✓ Add 0.1mM EDTA to the sample (Fe/Cu chelation)
  • ✓ Reduce the injection volume to ≤ 20 µL for a 4.6mm column
Baseline drift medium

Symptom: The baseline rises or falls systematically for >5 minutes

🔍 Diagnostic tree:
  1. 1. Are you running a gradient (B% increasing)?
    → YES: Yes → different absorption of phases A vs B at dλ. Solvent change in UV cutoff. Check the % organic UV absorbance.
    → NO: Continue (isocratic)
  2. 2. Check the column temperature — is it stable to ±0.5°C?
    → YES: Yes (stable) → continue
    → NO: Unstable → turn on the column thermostat (>25°C controlled)
  3. 3. Test: turn off the autosampler, run pump+column+detector alone
    → YES: Drift disappears → autosampler contamination (clean the needle, septum)
    → NO: Continue
  4. 4. Check the lamp age (D2 for UV)
    → YES: Yes (>1500 hours) → replace the lamp
    → NO: Continue
⚠️ Common causes:
  • Gradient elution with different UV cutoff of the phases
  • Unstable column T
  • Autosampler contamination of the needle/septum
  • Old UV lamp (>1500h)
  • Detector flow cell fouled
  • Column not equilibrated (<10 column volumes)
✓ Fixes:
  • ✓ Pre-equilibrate the column for 10-15 column volumes at 100% A
  • ✓ Column thermostat on, T 30-40°C stable
  • ✓ Clean the detector flow cell with 50:50 ACN:H2O
  • ✓ Replace the D2 lamp if >1500h
  • ✓ Use baseline subtraction (Chromeleon, Empower native function)
No peak / lost peak critical

Symptom: The expected analyte peak does not appear on the chromatogram

🔍 Diagnostic tree:
  1. 1. Did the injection actually take place?
    → YES: Check the autosampler log, pump pressure (should drop during injection)
    → NO: Autosampler problem → check the loop, needle, sample in the vial
  2. 2. Is the sample in the vial (correct volume, not evaporated)?
    → YES: Continue
    → NO: No sample — re-pipette
  3. 3. Sample stability — prepared >24h ago?
    → YES: Yes → degradation. Re-prepare a fresh sample.
    → NO: Continue
  4. 4. Check the detection wavelength vs the substance λmax
    → YES: Detection at λ does NOT match λmax → no signal. Scan DAD 200-400nm.
    → NO: Continue
  5. 5. Test: inject a pure standard (of known concentration, fresh)
    → YES: The standard gives a peak → problem with the sample (matrix, derivatization)
    → NO: No peak even with the standard → system problem (column, phase, gradient)
⚠️ Common causes:
  • Sample not drawn from the vial (autosampler bug)
  • Sample degraded (>24h pH/temp/light)
  • Detection at the wrong wavelength
  • Wrong mobile phase (e.g. forgotten TFA)
  • Column reversed / wrong stationary phase
  • Substance elutes at the front (V0) → unretained, not visible
✓ Fixes:
  • ✓ Re-prepare a fresh sample per the exact protocol
  • ✓ UV-Vis DAD scan 200-400nm + search for λmax
  • ✓ Check the mobile-phase composition — was TFA added?
  • ✓ Test the reverse column direction (carefully!)
  • ✓ For retention <1 min — lower the % B, MeOH instead of ACN
  • ✓ Check the "expected_rt" table in wp_molgod_hplc_methods
Pressure too high critical

Symptom: Pump pressure > 80% of the column max or system shutdown with a high-pressure error

🔍 Diagnostic tree:
  1. 1. Check that the column is connected correctly (arrow direction)
    → YES: OK
    → NO: Column reversed → flip it (never run it "backwards")
  2. 2. Test: remove the column from the system, run pump+detector alone
    → YES: Pressure drops to <50 bar → problem in the column (clogged)
    → NO: Pressure stays high → in-line filter clogged, frit fouled
  3. 3. Check the pre-column filter (in-line frit)
    → YES: Fouled and brown → replace it
    → NO: Continue
  4. 4. Back-flush the column with 50:50 ACN:H2O without the column — does it disappear?
    → YES: Particles stuck in the first mm — a 30 min flush may recover it
    → NO: Replace the column
⚠️ Common causes:
  • In-line filter (frit) clogged with particles
  • Buffer salting out (precipitation at high %B)
  • Sample contains suspended matter (filter 0.22 µm before injection)
  • Column clogged (column bed compaction)
  • Gradient with a buffer phase + high organic → salt precipitation
✓ Fixes:
  • ✓ ALWAYS filter the sample through 0.22 µm PVDF before injection
  • ✓ Replace the in-line filter every 100 injections (or when pressure rises >20%)
  • ✓ Do NOT use >20mM phosphate buffer + >70% ACN (the salt precipitates)
  • ✓ Flush the column for 30 min with 50:50 ACN:H2O in the reverse direction (when the manufacturer allows it)
  • ✓ Pre-column 4×3mm to protect the main column
Ghost peaks high

Symptom: Unexplained peaks on the chromatogram absent from the calibration

🔍 Diagnostic tree:
  1. 1. Test: blank injection (pure sample solvent)
    → YES: A ghost appears → contamination of the system or eluents
    → NO: Appears only with the sample → matrix
  2. 2. Does the ghost grow with the gradient (elutes at high %B)?
    → YES: Yes → overloaded column or strong-retained from a previous run
    → NO: Independent of the gradient → autosampler carryover
  3. 3. Increase carryover wash (between injections)
    → YES: Helps → carryover was to blame. Use a stronger wash protocol.
    → NO: Continue
  4. 4. Pure water injection — is there a peak?
    → YES: Yes → contamination of the water source (organics from the DI system)
    → NO: Continue
⚠️ Common causes:
  • Carryover in the autosampler needle/loop
  • Eluent contamination (even HPLC-grade)
  • Strong-retained components from previous runs
  • Plastic in the vials (phthalates, PEG from the caps)
  • Insufficiently purified DI water
✓ Fixes:
  • ✓ Strengthen the wash protocol: 100% B → 100% A → 50:50 (3 cycles)
  • ✓ Strong wash: 100% DMSO or 100% MeOH before calibration
  • ✓ Filter the eluents through 0.22 µm PTFE if in doubt
  • ✓ Use amber glass + Teflon-lined caps for samples
  • ✓ Periodic gradient ramp to 100% B for 10 min (clean-out)
📚 Scientific references (Chicago Author-Date) — click to expand
  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 ↗]
📚 Technical FAQ — Difluoromethane (5) MolGod_TECHFAQ_1
❓ Jak przygotować roztwór standardowy R-32 (difluorometanu) o stężeniu 10 ppm?
Aby przygotować roztwór standardowy R-32 o stężeniu 10 ppm, należy obliczyć masę substancji potrzebną do rozpuszczenia w określonej objętości rozpuszczalnika. Zakładając, że chcemy przygotować 1 litr roztworu (1000 ml), stężenie 10 ppm oznacza 10 mg R-32 na 1 litr. Masa molowa R-32 wynosi 52.023 g/mol, więc masa potrzebna to: 10 mg / (52.023 g/mol) * (1 g / 1000 mg) = 0.000192 mol. Rozpuszczalnik powinien być niepolarny, np. heksan lub dichlorometan, aby zapewnić dobrą rozpuszczalność R-32.
Helpful?
❓ W jakich warunkach należy przechowywać R-32 (difluorometan) w laboratorium?
R-32 powinien być przechowywany w szczelnie zamkniętych pojemnikach, z dala od źródeł ciepła i otwartego ognia. Optymalna temperatura przechowywania to -10°C do +25°C. Należy unikać ekspozycji na światło słoneczne i wilgotność, ponieważ może to wpłynąć na stabilność substancji. Przechowywanie w ciemnym miejscu jest zalecane.
Helpful?
❓ Jaka metoda analityczna jest najbardziej odpowiednia do analizy R-32 (difluorometanu) i dlaczego?
Najbardziej odpowiednią metodą analityczną dla R-32 jest chromatografia gazowa (GC) ze względu na jego niską masę molową (52.023 g/mol) i lotność. LogP R-32 wynosi około 1.8, co oznacza, że jest umiarkowanie hydrofobowy, ale nadal dobrze nadaje się do analizy GC z odpowiednim detektorem (np. FID lub TCD). HPLC może być stosowana w przypadku mieszanin zawierających R-32 i inne polarne składniki, ale GC jest bardziej powszechna dla czystych związków fluorowanych.
Helpful?
❓ Jakie są potencjalne reaktywności i niezgodności chemiczne R-32 (difluorometanu) w laboratorium?
R-32 jest stosunkowo stabilny, ale może reagować z silnymi utleniaczami lub kwasami fluorowodorowymi. Należy unikać kontaktu z substancjami łatwopalnymi ze względu na jego palność (temperatura zapłonu: -20°C). Niezgodności mogą wystąpić z niektórymi rozpuszczalnikami polarnymi, dlatego zaleca się stosowanie heksanu lub dichlorometanu. Przechowywanie w suchych warunkach jest kluczowe, aby uniknąć hydrolizy.
Helpful?
❓ W jakich praktycznych zastosowaniach laboratoryjnych wykorzystuje się R-32 (difluorometan)?
R-32 jest często używany jako standard kalibracyjny w analizie gazów fluorowanych, np. w pomiarach emisji lub kontroli czystości systemów chłodniczych. Jest również stosowany jako rozpuszczalnik w syntezach organicznych ze względu na swoją niską polarność i zdolność do rozpuszczania związków fluorowanych. W laboratoriach analitycznych służy do walidacji metod GC/HPLC dla innych difluorometanów.
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🧮 Laboratory calculators (8) MolGod_LABCALC_1
Dilution (C₁V₁=C₂V₂)
Molarity (M=n/V)
pH Buffer (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Mass → Moles
Concentration % → M
ppm → mg/L
Temperature C↔F↔K

Verified formulas: IUPAC Gold Book ↗, DOI ↗

📊 Spectroscopic Databases MolGod_SPECDB_3
🏷️ Label generator (QR) MolGod_LABEL_1
Difluoromethane• DIFLUOROMETHANE• CAS: 75-10-5• Formula: CH2F2• Mass: 52.02 g/molWARNINGGHS HAZARD STATEMENTS:H220: Extremely flammable gasH280: Contains gas under pressure; may explode if heatedH340: May cause genetic defectsH350: May cause cancerDH ScientificScience first. Commerce as consequence.Batch No.: Netto Mass: MFG:
ADMET — Pharmacological Profile

Drug-likeness radar chart (Lipinski Ro5 / Veber). Green zone = compliance with criteria.

Predictive data — properties calculated in silico (SMILES/RDKit). These do not replace clinical studies. Do not use for drug evaluation without experimental verification.

MW52LogP1HBD0HBA2RotB0TPSA0 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (MW=52)✗ REOS (MW=52)✓ Lead-like Ro3
PropertyValueRating
Absorption (GI)high✓
BBB permeabilityyes (crosses)
Bioavailability (Daina 2017)
55%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
PAINS alerts0✓
Brenk alerts0✓
pKa (pH 7.4)7 (heuristic)
hERG (cardiotox.)✓ no
P-gp substrate—
Ames mutagenicity✓ no
DILI (hepatotox.)—
LogS (aq. solub.)—
Sources (ADMET methodology)
  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. 2007. "Difluoromethane." Hawley's Condensed Chemical Dictionary. DOI: 10.1002/9780470114735.hawley05466. [DOI ↗]
  22. Anonymous. 2007. "Difluoromethane." Hawley's Condensed Chemical Dictionary: 426-426. https://doi.org/10.1002/9780470114735.hawley05466. [DOI ↗]
  23. 2004. "<scp>N</scp> ‐Fluoroimino Difluoromethane." Sax's Dangerous Properties of Industrial Materials. DOI: 10.1002/0471701343.sdp12584. [DOI ↗]
  24. Kang, Yun Whan; Chung, Kun Yong. 1996. "Vapor−Liquid Equilibria for the Systems Difluoromethane + Chlorodifluoromethane, Difluoromethane + Dichlorodifluoromethane, and Difluoromethane + Chloromethane at 10.0 °C." Journal of Chemical & Engineering Data. DOI: 10.1021/je9502657. [DOI ↗]
  25. Kang, Yun Whan, Chung, Kun Yong. 1996. "Vapor−Liquid Equilibria for the Systems Difluoromethane + Chlorodifluoromethane, Difluoromethane + Dichlorodifluoromethane, and Difluoromethane + Chloromethane at 10.0 °C." Journal of Chemical & Engineering Data 41 (3): 443-445. https://doi.org/10.1021/je9502657. [DOI ↗]
  26. Cauble, Ronald L.; Cady, George H. 1966. "PREPARATION OF BIS(FLUOROXY)DIFLUOROMETHANE." DOI: 10.21236/ad0641218. [DOI ↗]
  27. Cauble, Ronald L., Cady, George H.. 1966. "PREPARATION OF BIS(FLUOROXY)DIFLUOROMETHANE.". https://doi.org/10.21236/ad0641218. [DOI ↗]
  28. "Regioselective Difluoromethane sulfonylation and Triflylation of Resorufin Derivatives." DOI: 10.1021/acs.orglett.1c03192.s001. [DOI ↗]
  29. "Shapes and Noncovalent Interactions of Oligomers: The Rotational Spectrum of the Difluoromethane Trimer." DOI: 10.1021/ja068599b.s001. [DOI ↗]
  30. "First Measurements of the Sorption of Difluoromethane and Pentafluoroethane in Encapsulated Ionic Liquids." DOI: 10.1021/acs.iecr.3c01745.s001. [DOI ↗]
  31. Anonymous. "Regioselective Difluoromethane sulfonylation and Triflylation of Resorufin Derivatives.". https://doi.org/10.1021/acs.orglett.1c03192.s001. [DOI ↗]
  32. William J. Tikunoff. 1975. "Special Study A: An Ethnographic Study of the Forty Classrooms of the Beginning Teacher Evaluation Study Known Sample. BTES Technical Report Series No. 75-10-5."
  33. 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 ↗]
  34. Majid Naseri, Omid Imantalab, Svetlana Pratskova et al. 2025. "Unraveling the effect of Nb content on the microstructure and electrochemical performance of cost-effective [FeNi]75 −xCr15Mn10Nbx (x = 0, 5, 10 at%) high-entropy alloys." Journal of Alloys and Compounds. DOI: 10.1016/j.jallcom.2025.185044. [DOI ↗]
  35. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  36. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  37. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  38. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  39. Wei Zhang, Haitao Miao, Yanhui Li et al. 2016. "Glass-forming ability and thermoplastic formability of ferromagnetic (Fe, Co, Ni) 75 P 10 C 10 B 5 metallic glasses." Journal of Alloys and Compounds. DOI: 10.1016/j.jallcom.2016.11.227. [DOI ↗]
  40. Thomas O. Bergmeijer, Udaya S. Tantry, Jurriën M. ten Berg et al. 2014. "The effect of CYP2C19 gene polymorphisms on the pharmacokinetics and pharmacodynamics of prasugrel 5-mg, prasugrel 10-mg and clopidogrel 75-mg in patients with coronary artery disease." Thrombosis and Haemostasis. DOI: 10.1160/th13-10-0891. [DOI ↗]
  41. 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 ↗]
  42. Leslie A. Guildner. 1975. "Thermal conductivity of gases. III. Some values of thermal conductivities of argon, helium, and nitrogen from 0 C to 75 C at pressures of 1 x 10^5 to 2.5 x 10^7 pascals." Journal of Research of the National Bureau of Standards Section A Physics and Chemistry. DOI: 10.6028/jres.079a.005. [DOI ↗]
  43. Khaled Parvez, Robyn Worsley, Adriana Alieva et al. 2019. "Water-based and Inkjet Printable Inks made by Electrochemically Exfoliated Graphene." arXiv (1904.08665v1). DOI: 10.1016/j.carbon.2019.04.047. [DOI ↗]
  44. André Dankert, Parham Pashaei, M. Venkata Kamalakar et al. 2018. "Spin-Polarized Tunneling through Chemical Vapor Deposited Multilayer Molybdenum Disulfide." arXiv (1804.09928v1). DOI: 10.1021/acsnano.7b02819. [DOI ↗]
  45. Akasaka, Ryo. 2013. "Thermodynamic property models for the difluoromethane (R-32)+trans-1,3,3,3-tetrafluoropropene (R-1234ze(E)) and difluoromethane+2,3,3,3-tetrafluoropropene (R-1234yf) mixtures." Fluid Phase Equilibria. DOI: 10.1016/j.fluid.2013.07.057. [DOI ↗]
  46. Akasaka, Ryo. 2013. "Thermodynamic property models for the difluoromethane (R-32)+trans-1,3,3,3-tetrafluoropropene (R-1234ze(E)) and difluoromethane+2,3,3,3-tetrafluoropropene (R-1234yf) mixtures." Fluid Phase Equilibria 358: 98-104. https://doi.org/10.1016/j.fluid.2013.07.057. [DOI ↗]
  47. PubMed PMID PubChem. (Metadata fetch failed.) ↗
  48. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  49. Kunio Kawamura, Jun Maeda. 2007. "Kinetic Analysis of Oligo(C) Formation from the 5′-Monophosphorimidazolide of Cytidine with Pb(II) Ion Catalyst at 10–75°C." Origins of Life and Evolution of Biospheres. DOI: 10.1007/s11084-006-9063-0. [DOI ↗]
  50. 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.
  51. Levitt, David. 2024. "Pharmacokinetics/pharmacodynamics of glucocorticoids: modeling the glucocorticoid receptor dynamics and dose/response of commonly prescribed glucocorticoids." ADMET and DMPK. https://doi.org/10.5599/admet.2414. [DOI ↗]
  52. Notario, Dion, Munzir, Angela Marietha, Novella, Yulina, Hananta, Linawati. 2024. "Impact of lactoferrin supplementation on cotrimoxazole pharmacokinetics: A preliminary clinical investigation." ADMET and DMPK. https://doi.org/10.5599/admet.2358. [DOI ↗]
  53. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  54. Sridharan, Kannan, Al Banna, Rashed, Husain, Aysha. 2021. "Evaluation of pharmacokinetics of warfarin from validated pharmacokinetic-pharmacodynamic model." ADMET and DMPK. https://doi.org/10.5599/admet.909. [DOI ↗]
  55. Cabana, Bernard E.. 1984. "Bioavailability and Pharmacokinetics in Drug Development." Pharmacokinetics: 113-132. https://doi.org/10.1007/978-1-4613-2799-8_12. [DOI ↗]
  56. 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. ↗
📚 Scientific literature overview — CAS 75-10-5MolGod_LITHUB_MAIN
⭐ Key findings (scientific literature) 4 publications
🏆 CAS 75-10-5 — multi-criteria ranking (W12): 30% citations · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    Bhunia SK; Saha A; Maity AR et al. (2013) · Scientific reports
    Why it matters: Must-cite (canon) · 267 citations
    SCORE 8.18 Mechanism MUST-CITE Citations: 267 DOI ↗
  2. #2
    Guo J; Balić P; Borodkin VS et al. (2024) · Organic letters
    Why it matters: Must-cite (canon) · recent (2024)
    SCORE 4.8 Industrial MUST-CITE DOI ↗
  3. #3
    Uno H; Kawai K; Araki T et al. (2022) · Angewandte Chemie (International ed. in English)
    Why it matters: Must-cite (canon)
    SCORE 4.4 Industrial MUST-CITE DOI ↗
  4. #4
    Special Study A: An Ethnographic Study of the Forty Classrooms of the Beginning Teacher Evaluation Study Known Sample. BTES Technical Report Series No. 75-10-5.
    William J. Tikunoff (1975)
    Why it matters: Selected by multi-criteria score (citations + recency + topic + historical + OA).
    SCORE 3.61 Mechanism Citations: 15

Description

R-32 (difluorometan), CAS 75-10-5

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📈 HPLC gradient — optimizer (LSS) TEMPLATE

Gradient based on PubChem XLogP3 + LSS (Snyder et al. 2010, ch. 9).

  • Column: C18
  • Buffer: phosphate
  • Flow: 1 mL/min
  • logP: 1 (PubChem XLogP3)
  • Ramp: 13% → 95% B, 10 min
  • Total analysis time: 23 min
t (min) %A %B flow (mL/min) Comment
0 87 13 1 start (equilibrium)
2 87 13 1 end of initial hold
12 5 95 1 end of LSS ramp
17 5 95 1 column wash
18 87 13 1 return to init
23 87 13 1 re-equilibration
📚 Scientific references (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/75-10-5

📐 HPLC peak symmetry calculator (USP Tf / As)

Calculate the USP tailing factor (Tf) and asymmetry (As) from the peak half-widths. Enter a (left half-width) and b (right half-width) measured at 5% or 10% of peak height.

📚 References (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 ↗]
📊 Resolution and plate count calculator (Rs, N, H)

Calculate the resolution Rs, the number of theoretical plates N and HETP (H) for a pair of HPLC peaks. Enter the retention times, peak widths (at 50% or at the base) and the column length.

📚 References (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 ↗]
🧪 System Suitability — live calculator (USP <621>)

Enter data from 5–6 injections (areas, tR, tailing, plates) — the calculator computes %RSD and means and checks compliance with USP <621>. You can paste CSV (comma-separated) or edit individual values.

📚 References (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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📚 REFERENCES (Aggregate bibliography, Chicago Author-Date) 107 items

All scientific sources cited in the accordions above for CAS 75-10-5. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Scientific databases

  1. NIST. 2026. NIST Chemistry WebBook: CAS 75-10-5. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=75-10-5. (Accessed 2026-11-12.)
  2. AIST. 2026. Spectral Database for Organic Compounds (SDBS): CAS 75-10-5. 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 75-10-5. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=75-10-5. (Accessed 2026-11-12.)
  4. ECHA. 2026. C&L Inventory and REACH Registration: CAS 75-10-5. Helsinki: European Chemicals Agency. https://echa.europa.eu/documents/10162/23047722/sds_en.pdf. (Accessed 2026-11-12.)

📐 Standards / Guidelines

  1. ICH. 2026. "ICH Harmonised Guideline: CAS 75-10-5." 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.

📖 Books

  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 75-10-5. Lyon, France: International Agency for Research on Cancer, World Health Organization. (Accessed 2026-11-12.)

📄 Scientific articles (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.

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