L-DOPA

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3D model levodopa, CAS 59-92-7, molecular formula C9H11NO4, masa molowa 197.19 g/mol
Chemical Overview: LevodopaMolGod_OVERVIEW_1
Molecular formulaC9H11NO4
Molecular weight197.19 g/mol
Melting point285 °C
LogP (lipophilicity)-2.7
IUPAC name(2S)-2-amino-3-(3,4-dihydroxyphenyl)propanoic acid
SMILESC1=CC(=C(C=C1C[C@@H](C(=O)O)N)O)O
InChIKeyWTDRDQBEARUVNC-LURJTMIESA-N

Synonyms: levodopa · L-dopa · 59-92-7 · 3,4-dihydroxy-L-phenylalanine · Dopar

Data sources: PubChem (NLM/NIH)
Last updated: 2026-07-09

📊 Physical & Chemical Properties

Quick Reference

Formula: C9H11NO4
MW: 197.19 g/mol
CAS: 59-92-7
Appearance: Colorless to white crystals or crystalline powder; needles from water

Detailed Properties

Property Value Unit Conditions Source
Melting Point (mp) 295 PubChem (NIH/NLM) ↗
Boiling Point (bp) 448.4 PubChem (NIH/NLM) ↗
Water Solubility 5mM PubChem (NIH/NLM) ↗
🔬 Advanced Properties

Chemical Identifiers

SMILES: C1=CC(=C(C=C1C[C@@H](C(=O)O)N)O)O
InChI: InChI=1S/C9H11NO4/c10-6(9(13)14)3-5-1-2-7(11)8(12)4-5/h1-2,4,6,11-12H,3,10H2,(H,13,14)/t6-/m0/s1
InChIKey: WTDRDQBEARUVNC-LURJTMIESA-N

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

Last updated: 2026-06-25

Regulatory status of the substance
No entries for this CAS in the restriction lists checked (SVHC candidate list, REACH Annex XVII; datasets incomplete — this is not a confirmation of compliance). CLP classification and transport status (ADR): see the GHS section and the safety data sheet (SDS).
🧮 Stoichiometry CalculatorMolGod_STOICH_1
🧪 Dane chemiczneMolGod_CHEMDATA_1
Numer CAS
59-92-7
Wzór sumaryczny
C9H11NO4
Masa molowa
197.19 g/mol
Nazwa IUPAC (EN)
(2S)-2-amino-3-(3,4-dihydroxyphenyl)propanoic acid
SMILES
C1=CC(=C(C=C1C[C@@H](C(=O)O)N)O)O
InChIKey
WTDRDQBEARUVNC-LURJTMIESA-N
🔍 External identifiersMolGod_EXTID_1
14 of 16 ID systems88%
BazaIdentifierActions
CAS Registry Number59-92-7Open →
PubChem CID6047Open →
InChIKeyWTDRDQBEARUVNC-LURJTMIESA-NOpen →
InChIInChI=1S/C9H11NO4/c10-6(9(13)14)3-5-1-2-7(11)8(1…
SMILESC1=CC(=C(C=C1C[C@@H](C(=O)O)N)O)O
EC Number200-445-2Open →
DrugBankDB01235Open →
KEGG CompoundC00355Open →
HMDBHMDB0000181Open →
ChemSpider5824Open →
MeSH UID (NLM)D007980Open →
UNII (FDA)46627O600JOpen →
NSC Number (NCI)118381Open →
WikiData QIDQ300989Open →

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

📡 Spectroscopy — CAS 59-92-7MolGod_SPECHUB_MAIN
MolGod_SPECDB_SP2
📊 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
0 points
📚 NIST Chemistry WebBook, SRD 69
MS (NIST) Mass Spectrum (EI) — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
0 points
📚 NIST Standard Reference Database 1A
UV-Vis UV/Visible Absorption — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
0 points
📚 NIST Chemistry WebBook, SRD 69
¹H NMR NMR (¹H, ¹³C) — NMRShiftDB
CC-BY-SA 4.0
▶ Click to load spectrum
🔗 Source
0 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
0 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)

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📐 Physical & Chemical Properties (DB) 8 fields MolGod Score: No source
Property Value Unit Conditions Source
Melting point 285.00 [6][11] °C 1 atm
Water solubility 5.000 g/L 25°C
logP (octanol/water) -2.700 [8][9] 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
/* translators: %s, %d itd. to wartosci dynamiczne wstawiane do komunikatu. */

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

MW: 197.19 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
🧪 Solution Preparation Wizard WIZARD MolGod_PREP_1
① Select concentration
② Target volume
③ Solvent

Calculations per: IUPAC Gold Book ↗, Merck ↗

Solvent compatibilityMolGod_SOLV_1

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

SolventCompatibilityNotesReferences
Water+ GoodlogP indicates hydrophilicity
EtOH+ GoodEtOH — universal polar solvent
Acetone~ ModeratePartially compatible
DCM- PoorPoor compatibility with polar solvents
DMSO+ GoodDMSO — strong aprotic solvent
THF~ ModerateTHF — limited for strongly polar compounds
Hexane- PoorPractically insoluble in hexane
CHCl3- PoorPoor compatibility with polar solvents

Data sources for logP/solubility: logP: -2.70

📚 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) + wzór Ra.
  3. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220 — E_T(30) polarity scale, solwatochromia.
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Hoboken, NJ: Wiley. https://doi.org/10.1002/9780470508183 — Eluotropic series, polarity index.
  5. PubChem Compound Database — CAS 59-92-7 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 59-92-7MolGod_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.
MolGod_GHS_SF1

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

⚠️ Danger
GHS07 — Irritant / harmful
GHS07 Irritant / harmful
GHS08 — Health hazard
GHS08 Health hazard
GHS09 — Environmental hazard
GHS09 Environmental hazard

🚨 Hazard statements (H)

  • H302 — Harmful if swallowed

🛡 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: 59-92-7 · 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 2023)." 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
MolGod_STATS_1

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 ↗

🧪 Buffer Recipe Calculator UNIQUE
MolGod_BUFFER_1

Choose a buffer from the list of 20 popular systems → enter the target pH → get an exact recipe with the masses to weigh out.

Step 1: Choose a buffer system

📜 Recipe history (last 10)
📅 Project Planner — Lab Experiment Manager NEW
MolGod_PLANNER_1

Plan your entire laboratory project: add experiments with reagents, replicates, and duration. You'll get a Gantt chart, a shopping list (with links to the store!), a budget with a 10% margin, and a GHS risk matrix.

🔬 HPLC/GC methods (3 metod)
📄
Phytochemical Profiling, Antioxidant Capacity, and α-Amylase/α-Glucosidase Inhibitory Effects of 29 Faba Bean (Vicia faba L.) Varieties from China
HPLCBiology202590% ✓CC-BYResearch method (specificity, robustness)
Column: C18, 3.5 \u03bcm
Phase: mobile phase consisted of phase A (acetonitrile) and phase B (0
Detection: UV 760 nm
Flow: 0.40 mL/min
Temp.: 37.0 °C
Inj.: 50 \u03bcL
Gradient: elution program for phase B was as follows: 95% (0–2…
Li Y, Wang Z, Mei C, Sun W, Yuan X, Wang J, et al. Phytochemical Profiling, Antioxidant Capacity, and α-Amylase/α-Glucosidase Inhibitory Effects of 29 Faba Bean (Vicia faba L.) Varieties from China. Biology. 2025;14:982. doi:10.3390/biology14080982
Simple SummaryFaba beans are rich in protein, dietary fiber, vitamins, and minerals. Crucially, they contain significant levels of phytochemicals, particularly phenolic compounds. This study evaluated 29 Chinese faba bean varieties, revealing significant differences in their phytochemical profiles, antioxidant capacity, and enzyme inhibitory effects. Key findings highlight that flavonoids are the primary contributors to antioxidant activity, while L-DOPA, despite its weaker antioxidative properties, shows strong potential for managing blood glucose levels by inhibiting carbohydrate-digesting enzymes (α-amylase and α-glucosidase). These results underscore the potential of faba beans as functional foods tailored to oxidative stress prevention and diabetes management. The established phytochemical markers guide development of cultivars with enhanced nutritional functionality through targeted selection. By bridging the gap between traditional crops and modern health demands, this research supports the growing interest in plant-based solutions for chronic diseases and promotes sustainable dietary strategies.
faba beansvariety differencesgeographical distributionL-DOPAphenolicsflavonoids
📄
Improved GMP-compliant multi-dose production and quality control of 6-[18F]fluoro-L-DOPA
HPLCEJNMMI Radiopharmacy and Chemistry201693% ✓CC-BYResearch method (specificity, robustness)
Column: C18, 250 x 10 mm, 150 \u03bcm
Phase: eluent of sodium citrate 8,71 g and sodium dodecylsulfon 0,8 g in 900 ml H2O…
Detection: MS
Flow: 3.00 mL/min
Temp.: 150.0 °C
Inj.: 200 \u03bcL
Gradient: acetonitrile, used as solvent for LC-MS analysis, was obtained from…
Luurtsema G, Boersma H, Schepers M, de Vries A, Maas B, Zijlma R, et al. Improved GMP-compliant multi-dose production and quality control of 6-[18F]fluoro-L-DOPA. EJNMMI Radiopharmacy and Chemistry. 2016;1:7. doi:10.1186/s41181-016-0009-1
Background6-[18F]Fluoro-L-3,4-dihydroxyphenylalanine (FDOPA) is a frequently used radiopharmaceutical for detecting neuroendocrine and brain tumors and for the differential diagnosis of Parkinson’s disease. To meet the demand for FDOPA, a high-yield GMP-compliant production method is required. Therefore, this study aimed to improve the FDOPA production and quality control procedures to enable distribution of the radiopharmaceutical over distances.FDOPA was prepared by electrophilic fluorination of the trimethylstannyl precursor with [18F]F2, produced from [18O]2 via the double-shoot approach, leading to FDOPA with higher specific activity as compared to FDOPA which was synthesized, using [18F]F2 produced from 20Ne, leading to FDOPA with a lower specific activity. The quality control of the product was performed using a validated UPLC system and compared with quality control with a conventional HPLC system. Impurities were identified using UPLC-MS.ResultsThe [18O]2 double-shoot radionuclide production method yielded significantly more [18F]F2 with less carrier F2 than the conventional method starting from 20Ne. After adjustment of radiolabeling parameters substantially higher amounts of FDOPA with higher specific activity could be obtained. Quality control by UPLC was much faster and detected more side-products than HPLC. UPLC-MS showed that the most important side-product was FDOPA-quinone, rather than 6-hydroxydopa as suggested by the European Pharmacopoeia.ConclusionThe production and quality control of FDOPA were significantly improved by introducing the [18O]2 double-shoot radionuclide production method, and product analysis by UPLC, respectively. As a result, FDOPA is now routinely available for clinical practice and for distribution over distances.
PETRadionuclide productionRadiochemistryAutomationQuality control
📄
Development and Validation of a Reversed-Phase HPLC Method with UV Detection for the Determination of L-Dopa in Vicia faba L. Broad Beans
HPLCMolecules202293% ✓CC-BYResearch method (specificity, robustness)
Column: C18, 250 x 4.6 mm, 5 \u03bcm
Phase: mobile phases, and validation parameters, i
Detection: UV 950 nm
Flow: 1.00 mL/min
Temp.: 25.0 °C
Inj.: 1 \u03bcL
Gradient: HPLC System (Agilent Technologies, Santa Clara, CA, USA) equipped with…
Tesoro C, Ciriello R, Lelario F, Di Capua A, Pascale R, Bianco G, et al. Development and Validation of a Reversed-Phase HPLC Method with UV Detection for the Determination of L-Dopa in Vicia faba L. Broad Beans. Molecules. 2022;27:7468. doi:10.3390/molecules27217468
L-Dopa (LD), a substance used medically in the treatment of Parkinson’s disease, is found in several natural products, such as Vicia faba L., also known as broad beans. Due to its low chemical stability, LD analysis in plant matrices requires an appropriate optimization of the chosen analytical method to obtain reliable results. This work proposes an HPLC-UV method, validated according to EURACHEM guidelines as regards linearity, limits of detection and quantification, precision, accuracy, and matrix effect. The LD extraction was studied by evaluating its aqueous stability over 3 months. The best chromatographic conditions were found by systematically testing several C18 stationary phases and acidic mobile phases. In addition, the assessment of the best storage treatment of Vicia faba L. broad beans able to preserve a high LD content was performed. The best LD determination conditions include sun-drying storage, extraction in HCl 0.1 M, chromatographic separation with a Discovery C18 column, 250 × 4.6 mm, 5 µm particle size, and 99% formic acid 0.2% v/v and 1% methanol as the mobile phase. The optimized method proposed here overcomes the problems linked to LD stability and separation, thus contributing to the improvement of its analytical determination.
drugsbioactive compoundliquid chromatographyUV detectionbroad beansaqueous stabilityEURACHEM guidelinesstorage conditions
📈 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 760 nm mobile phase consisted of phase A (acetonitrile) and… DOI ↗
HPLC C18 MS eluent of sodium citrate 8,71 g and sodium dodecylsulfon… DOI ↗
HPLC C18 UV 950 nm mobile phases, and validation parameters, i DOI ↗
🔧 Troubleshooting HPLC/GC
Szerokie piki / tailing
Causes: Zużyta kolumna, złe pH fazy, przeciążenie kolumny, dead volume
Solution: Wymień kolumnę, sprawdź pH buforu (±0.2), zmniejsz objętość nastrzyku, sprawdź połączenia
Dryft linii bazowej
Causes: Zanieczyszczona faza ruchoma, gradient, temperatura niestabilna
Solution: Odgazuj fazę, filtruj 0.22 µm, stabilizuj temperaturę kolumny, przemyj system
Brak piku
Causes: Zła długość fali, substancja nie eluuje, rozkład termiczny, zła faza
Solution: Sprawdź λmax, wydłuż gradient, obniż temperaturę, zmień fazę ruchomą
Piki duchów (ghost peaks)
Causes: Zanieczyszczenie systemu, carry-over, zanieczyszczone fiolki
Solution: Wyczyść system (MeOH/H₂O), użyj nowych fiolek, wstrzyknij blank
Niski odzysk
Causes: Adsorpcja na ściankach, niedostateczna ekstrakcja, rozkład
Solution: Dodaj IS, silanizuj szkło, zoptymalizuj ekstrakcję, sprawdź stabilność

Sources: Snyder, Kirkland & Dolan ↗, Waters ↗

🧪 Solubility and solvent compatibility MolGod_SOLUB_1
Molecule
levodopa
Formula
C9H11NO4
logP
-2.70
Mass (g/mol)
197.19
Polarity
Hydrophilic (polar)

⚠️ GC estimate (Hoftyzer–Van Krevelen). No literature HSP data for this CAS — precision ±2 MPa½. Verify experimentally.

Solvent Compat. Ra Visual GC-MS HPLC Applications References
Water (H₂O)− Słaba35.9
✗ NieA (aqueous) (RP)
buffercell-cultureanalyticalextraction (hydrofilne)
Ethanol (EtOH)− Słaba13.6
✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)− Słaba16.7
✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent do 205 nm
Acetone~ Śr.9.6
✗ NieB modifier (NP)
GC headspacecrystallizationdegreasingsynthesis
Acetonitrile (ACN)− Słaba15.6
✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (wolny cut-off UV 190 nm)peptide analysis
DMSO− Słaba17.7
✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF~ Śr.9.8
✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallic
DCM (CH₂Cl₂)− Słaba12.9
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallization (anti-solvent)
Chloroform (CHCl₃)− Słaba12.1
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane~ Śr.11.6
✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene− Słaba14.2
✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisDean-Stark azeotropic drying
📚 Scientific references for solvents (Chicago Author-Date) — click to expand

11 solvents × 5 independent scientific sources (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/Wypych/Armarego/Snyder/GESTIS). 55+ full citations below.

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
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. CRC Press. https://doi.org/10.1201/9781420006834 — HSP triplet (dD, dP, dH) + wzór 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 — Complete tabular set of 250+ solvents (ε, μ, donicity, acceptor numbers).
  8. PubChem Compound Database — CAS 59-92-7 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.

📚 Technical FAQ — levodopa (5) MolGod_TECHFAQ_1
❓ Jak przygotować roztwór standardowy L-DOPA o stężeniu 100 µg/mL?
MolGod_TECHFAQ_1_Q0
Aby przygotować roztwór standardowy L-DOPA o stężeniu 100 µg/mL, należy odważyć masę substancji zgodnie z obliczeniami. Masa molowa L-DOPA wynosi 197.19 g/mol. Dla stężenia 100 µg/mL (0.1 mg/mL) w 1 litrze roztworu potrzeba: 0.1 mg/mL * 1000 mL = 100 mg L-DOPA. Masa substancji do odważenia: 100 mg.
Helpful?
❓ Jak przechowywać L-DOPA, aby zachować jej stabilność?
MolGod_TECHFAQ_1_Q1
L-DOPA powinna być przechowywana w temperaturze 2-8°C, w ciemnym miejscu, chroniąc przed światłem i wilgocią. Zaleca się użycie szczelnie zamkniętych pojemników z ciemnego szkła lub tworzywa sztucznego odpornego na działanie substancji chemicznych.
Helpful?
❓ Jaka metoda analityczna jest najbardziej odpowiednia do analizy L-DOPA?
MolGod_TECHFAQ_1_Q2
Najbardziej odpowiednią metodą analityczną dla L-DOPA jest wysokosprawna chromatografia cieczowa (HPLC) ze względu na jej polarny charakter i masę molową. LogP L-DOPA nie jest podany, ale biorąc pod uwagę jej strukturę, HPLC z odpowiednią fazą stacjonarną (np. C18 lub polarne fazy) jest preferowana.
Helpful?
❓ Jakie są potencjalne reaktywności i niezgodności chemiczne L-DOPA?
MolGod_TECHFAQ_1_Q3
L-DOPA może ulegać degradacji w obecności silnych utleniaczy, zasad lub kwasów. Należy unikać kontaktu z substancjami silnie kwasowymi (np. HCl) i zasadowymi (np. NaOH). Może również reagować z nadtlenkami i innymi utleniaczami, prowadząc do degradacji.
Helpful?
❓ Jakie jest praktyczne zastosowanie laboratoryjne L-DOPA?
MolGod_TECHFAQ_1_Q4
L-DOPA jest stosowana jako standard w analizach biochemicznych, szczególnie w badaniach nad dopaminą i jej metabolitami. Jest również używana w syntezie farmaceutycznej do produkcji leków przeciwparkinsonowskich, takich jak levodopa.
Helpful?
🧮 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
📋 Laboratory protocol generator MolGod_PROTOCOL_1

Protocol generated based on: GHS SDS, Aldrich Lab Guide ↗

🏷️ Label generator (QR) MolGod_LABEL_1
L-Dopa• levodopa / L-dopa• CAS: 59-92-7• Formula: C9H11NO4• Mass: 197.19 g/molDANGERGHS HAZARD STATEMENTS:H302: Harmful if swallowedH319: Causes serious eye irritationH361: Suspected of damaging fertility or the unborn childH372: Causes damage to organs through prolonged or repeated exposureSOLUTIONSul. Juliana Przybosia 8, 21-400 Łuków+48 794 171 794[email protected]www.marmakchemicals.euFOR LABORATORY USE ONLY!Batch No.: Netto Mass: MFG: Init: • IUPAC: (2S)-2-amino-3-(3,4-dihydroxyphenyl)propanoic acid
ADMET — Pharmacological Profile
MolGod_ADMET_1

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.

MW197.2LogP-2.7HBD4HBA5RotB3TPSA104 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (LogP=-2.7)✗ REOS (MW=197)✗ Lead-like Ro3 (HBD=4, HBA=5)
PropertyValueRating
Absorption (GI)high
BBB permeabilityno
Bioavailability (Daina 2017)
55%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
PAINS alerts0
Brenk alerts0
pKa (pH 7.4)2.32 (experimental)
hERG (cardiotox.)✓ no
P-gp substrate
Ames mutagenicity⚠ yes
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. Agarwal, Sarah. 2025. "Can Music Therapy (Rhythmic Auditory Stimulations) Completely Replace the Conventional Medicine (Levodopa) Used to Treat All the Symptoms of Parkinson's Disease and Delay Its Deterioration?." International Journal of Science and Research (IJSR): 1447-1458. https://doi.org/10.21275/sr25919112851. [DOI ↗]
  22. Anonymous. 2020. "Levodopa/levodopa/benserazide/levodopa/carbidopa." Reactions Weekly 1828 (1): 296-296. https://doi.org/10.1007/s40278-020-85372-6. [DOI ↗]
  23. Anonymous. 1976. "LEVODOPA DOES NOT SUSTAIN IMPROVEMENT IN ALL PARKINSONIAN PATIENTS." InPharma 68 (1): 9-9. https://doi.org/10.1007/bf03289351. [DOI ↗]
  24. Anonymous. "Levodopa.". https://doi.org/10.31003/uspnf_m44720_05_02. [DOI ↗]
  25. Anonymous. "Levodopa.". https://doi.org/10.31003/uspnf_m44720_05_01. [DOI ↗]
  26. 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 ↗]
  27. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  28. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  29. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  30. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  31. 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 ↗]
  32. Susan H. Fox, Jonathan M. Brotchie. 2014. "Levodopa-Induced Dyskinesia in Parkinson's Disease." Springer.
  33. 2020. "Allelopathy of Velvetbean: Determination and Identification of L-DOPA as a Candidate of Allelopathic Substances." https://doi.org/10.1201/9781420048629-7. [DOI ↗]
  34. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  35. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  36. Stern, Gerald. 1975. "The Clinical uses of Levodopa." University Park Press.
  37. Eva Bredberg. 1991. "Pharmacokinetic and pharmacodynamic studies of two dopaminomimetics, apomorphine and levodopa." Univ..
  38. 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.
  39. ECHA. 2024. "REACH Guidance." European Chemicals Agency.
  40. 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.
🧪 Solution preparation assistant (Smart Prep) MolGod_PREP_2

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📚 Scientific literature overview — CAS 59-92-7MolGod_LITHUB_MAIN
MolGod_RHIGHL_LT1
⭐ Key findings (scientific literature) 2 publications
🏆 CAS 59-92-7 — multi-criteria ranking (W12): 30% citations · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    Cotzias GC (1968) · The New England journal of medicine
    Why it matters: Must-cite (canon) · historical paper (1968)
    SCORE 2.25 Historical MUST-CITE DOI ↗
  2. #2
    L-dopa in Parkinsonism.
    (1969) · British medical journal
    Why it matters: Must-cite (canon) · historical paper (1969)
    SCORE 2.25 Historical MUST-CITE

Description

Charakterystyka

L-DOPA, znana również jako L-3,4,5-tetrahydrobiopterin, jest aminokwasem niebiałkowym z grupy aromatycznych. To powszechnie stosowany prekursor w syntezie neuroprzekaźników, takich jak dopamina, adrenalina czy noradrenalina. Jej wzór sumaryczny to C9H11NO4, a masa molowa wynosi 165,19 g/mol.

Zastosowanie

  • Neuroprzekaźniki: L-DOPA jest wykorzystywana w syntezie neuroprzekaźników, takich jak dopamina, adrenalina i noradrenalina. W medycynie stosowana jest jako lek w terapii choroby Parkinsona, gdyż jej przekształcenie w dopaminę łagodzi objawy tego schorzenia.
  • Barwniki: L-DOPA służy również jako substrat do produkcji barwników syntetycznych, takich jak indygo i fiolet metylowy. Jej zastosowanie w tej dziedzinie datuje się na lata 30. ubiegłego wieku.

Bezpieczeństwo

Ogólne wskazówki BHP: L-DOPA jest substancją chemiczną, która powinna być stosowana z ostrożnością. Należy przestrzegać środków bezpieczeństwa, takich jak korzystanie z odpowiedniej odzieży ochronnej i przestrzeganie procedur obowiązujących w laboratorium lub zakładzie produkcyjnym. W przypadku połknięcia, L-DOPA może wywołać mdłości, wymioty i biegunkę.

Przechowywanie

  • Temperatura: L-DOPA powinna być przechowywana w temperaturze pokojowej (15-25°C). Unikaj ekspozycji na bezpośrednie światło słoneczne i ultrafioletowe, gdyż może to przyspieszać degradację substancji.
  • Wilgotność: Przechowuj L-DOPA w suchym miejscu, o wilgotności względnej poniżej 60%. Wilgoć może przyspieszać utlenianie substancji i zmniejszać jej stabilność.
  • Stabilność chemiczna: L-DOPA jest wrażliwa na pewne czynniki chemiczne, takie jak ogrzewanie czy utlenianie. W celu zachowania

Additional information

Gramatura

1 g — zł34.82

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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: -2.7 (PubChem XLogP3)
  • Ramp: 5% → 95% B, 10 min
  • Total analysis time: 23 min
t (min) %A %B flow (mL/min) Comment
0 95 5 1 start (equilibrium)
2 95 5 1 end of initial hold
12 5 95 1 end of LSS ramp
17 5 95 1 column wash
18 95 5 1 return to init
23 95 5 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/59-92-7

📐 HPLC peak symmetry calculator (USP Tf / As) FEATURE J

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) FEATURE K

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>) FEATURE L

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) 104 items
MolGod_REFS_1

All scientific sources cited in the accordions above for CAS 59-92-7. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Scientific databases

  1. NIST. 2026. NIST Chemistry WebBook: CAS 59-92-7. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=59-92-7. (Accessed 2026-08-01.)
  2. AIST. 2026. Spectral Database for Organic Compounds (SDBS): CAS 59-92-7. Tsukuba, Japan: National Institute of Advanced Industrial Science and Technology. https://sdbs.db.aist.go.jp/. (Accessed 2026-08-01.)
  3. PubChem. 2026. PubChem Compound Summary: CAS 59-92-7. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=59-92-7. (Accessed 2026-08-01.)

📐 Standards / Guidelines

  1. ICH. 2026. "ICH Harmonised Guideline: CAS 59-92-7." Geneva: International Council for Harmonisation. https://database.ich.org/sites/default/files/Q1A%28R2%29%20Guideline.pdf. (Accessed 2026-08-01.)
  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 59-92-7. Lyon, France: International Agency for Research on Cancer, World Health Organization. (Accessed 2026-08-01.)

📄 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.

🌐 Websites

  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.
  4. European Parliament. 2008. "Regulation (EC) No 1272/2008 on Classification, Labelling and Packaging of Substances and Mixtures (CLP)." Official Journal of the European Union L 353: 1–1355.
  5. ECHA. 2017. "Guidance on the Compilation of Safety Data Sheets." Version 3.1. European Chemicals Agency. ECHA-17-G-01-EN. https://echa.europa.eu/documents/10162/23047722/sds_en.pdf.
  6. ECHA. 2022. "Restrictions Under REACH — Annex XVII." European Chemicals Agency. https://echa.europa.eu/substances-restricted-under-reach.
  7. United Nations. 2021. Globally Harmonized System of Classification and Labelling of Chemicals (GHS). 9th revised ed. ST/SG/AC.10/30/Rev.9. New York and Geneva: United Nations. https://unece.org/ghs-rev9-2021.
  8. ECHA. 2020. "Understanding REACH." European Chemicals Agency. https://echa.europa.eu/regulations/reach/understanding-reach.
  9. Snyder, Lloyd R., John W. Dolan, and Joseph J. Kirkland. 2010. Introduction to Modern Liquid Chromatography. Wiley.
  10. Schoenmakers, Peter J.. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier.
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