Melatonina, CAS 73-31-4 — etykieta produktu chemicznego
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Melatonina

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🧬 Wizualizator molekuły 3D
Ładowanie molekuły...
Model 3D Melatonin, CAS 73-31-4, wzór sumaryczny C13H16N2O2, masa molowa 232.28 g/mol
Przegląd chemiczny: MelatoninMolGod_OVERVIEW_1
Wzór sumarycznyC13H16N2O2
Masa cząsteczkowa232.28 g/mol
Temperatura topnienia117 °C
LogP (lipofilowość)0.8
Nazwa IUPACN-[2-(5-methoxy-1H-indol-3-yl)ethyl]acetamide
SMILESCC(=O)NCCC1=CNC2=C1C=C(C=C2)OC
InChIKeyDRLFMBDRBRZALE-UHFFFAOYSA-N

Synonimy: Melatonin · 73-31-4 · Melatonine · N-Acetyl-5-methoxytryptamine · N-[2-(5-Methoxy-1H-indol-3-yl)ethyl]acetamide

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

📊 Physical & Chemical Properties

Quick Reference

Formula: C13H16N2O2
MW: 232.28 g/mol
CAS: 73-31-4
Appearance: Pale yellow leaflets from benzene

Detailed Properties

Property Value Unit Conditions Source
Temperatura topnienia (mp) 117 °C PubChem (NIH/NLM) ↗
Rozpuszczalność w wodzie In water, 2 g/L at 20 °C; 5 g/L at 50 °C PubChem (NIH/NLM) ↗
🔬 Advanced Properties

Chemical Identifiers

SMILES: CC(=O)NCCC1=CNC2=C1C=C(C=C2)OC
InChI: InChI=1S/C13H16N2O2/c1-9(16)14-6-5-10-8-15-13-4-3-11(17-2)7-12(10)13/h3-4,7-8,15H,5-6H2,1-2H3,(H,14,16)
InChIKey: DRLFMBDRBRZALE-UHFFFAOYSA-N

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

Last updated: 2026-06-25

Status regulacyjny substancji
Brak wpisow dla tego CAS w sprawdzonych wykazach ograniczen (lista kandydacka SVHC, REACH Zalacznik XVII; zbiory niepelne - nie jest to potwierdzenie zgodnosci). Klasyfikacja CLP i status transportowy (ADR): patrz sekcja GHS oraz karta charakterystyki (SDS).
🧮 Kalkulator stechiometrycznyMolGod_STOICH_1
🧪 Dane chemiczneMolGod_CHEMDATA_1
Numer CAS
73-31-4
Wzór sumaryczny
C13H16N2O2
Masa molowa
232.28 g/mol
Nazwa IUPAC (EN)
N-[2-(5-methoxy-1H-indol-3-yl)ethyl]acetamide
SMILES
CC(=O)NCCC1=CNC2=C1C=C(C=C2)OC
InChIKey
DRLFMBDRBRZALE-UHFFFAOYSA-N
🔍 Identyfikatory zewnętrzneMolGod_EXTID_1
14 z 16 systemów ID88%
BazaIdentyfikatorAkcje
CAS Registry Number73-31-4Otwórz →
PubChem CID896Otwórz →
InChIKeyDRLFMBDRBRZALE-UHFFFAOYSA-NOtwórz →
InChIInChI=1S/C13H16N2O2/c1-9(16)14-6-5-10-8-15-13-4-…
SMILESCC(=O)NCCC1=CNC2=C1C=C(C=C2)OC
EC Number200-797-7Otwórz →
DrugBankDB01065Otwórz →
KEGG CompoundC01598Otwórz →
HMDBHMDB0001389Otwórz →
ChemSpider872Otwórz →
MeSH UID (NLM)D008550Otwórz →
UNII (FDA)JL5DK93RCLOtwórz →
NSC Number (NCI)113928Otwórz →
WikiData QIDQ180912Otwórz →

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

📡 Spektroskopia — CAS 73-31-4MolGod_SPECHUB_MAIN
MolGod_SPECREF_SP1
📊 Widma (NMR, IR, MS, UV-Vis) (1)

Dostępne typy widm: IR

Widmo IR (KBr, 4000-400 cm⁻¹)

486 punktów danych · Źródło: NIST WebBook · NIST ↗ · 📥 JCAMP-DX
📋 Tabela pików (peak assignment)
Typ Pozycja Intensywność Przypisanie
IR 401 0.5 —
IR 408 0.5 —
IR 415 0.5 —
IR 422 0.6 —
IR 429 0.6 —
IR 436 0.6 —
IR 443 0.7 —
IR 450 0.7 —
IR 457 0.6 —
IR 464 0.8 —
IR 471 0.8 —
IR 478 0.8 —
IR 485 0.8 —
IR 492 0.8 —
IR 499 0.8 —
IR 506 0.8 —
IR 513 0.8 —
IR 520 0.8 —
IR 527 0.8 —
IR 534 0.6 —
🎓 Przewodnik interpretacji widm (dla studentów)
Jak czytać widmo IR
  • 3200-3600 cm⁻¹ — rozciąganie O-H (szeroki pik = wiązanie wodorowe)
  • 2850-3000 cm⁻¹ — rozciąganie C-H (sp³)
  • 1650-1750 cm⁻¹ — rozciąganie C=O (ketony, aldehydy, estry)
  • 1400-1600 cm⁻¹ — drgania pierścienia aromatycznego
  • 1000-1300 cm⁻¹ — rozciąganie C-O (etery, alkohole)
  • Brak absorpcji = brak grupy funkcyjnej → porównaj z referencją

Źródła: LibreTexts ↗, Silverstein (Spectrometric ID) ↗

📚 Naukowe referencje (Chicago Author-Date) (9 źródeł)

📚 Bibliografia książkowa oczekuje na wygenerowanie. Kuratowane podręczniki ogólne są dostępne poniżej; specyficzne dla CAS książki Google Books można pobrać z panelu administratora.

  1. National Institute of Standards and Technology. 2024. "NIST Chemistry WebBook, SRD 69." Gaithersburg, MD: NIST. Accessed 2025-01-01. ↗
  2. Spectral Database for Organic Structure Determination (SDBS). 2024. National Institute of Advanced Industrial Science and Technology (AIST), Japan. Accessed 2025-01-01. ↗
  3. Ulrich, Eldon L., Hideo Akutsu, John F. Doreleijers, Yoko Harano, Yannis E. Ioannidis, Jundong Lin, Miron Livny, et al. 2008. "BioMagResBank." Nucleic Acids Research 36 (D1): D402–D408. [DOI ↗]
  4. Horai, Hisayuki, Masanori Arita, Shigehiko Kanaya, Yoshito Nihei, Tasuku Ikeda, Kazuhiro Suwa, Yuya Ojima, et al. 2010. "MassBank: A Public Repository for Sharing Mass Spectral Data for Life Sciences." Journal of Mass Spectrometry 45 (7): 703–714. [DOI ↗]
  5. Linstrom, P.J., and W.G. Mallard, eds. 2024. NIST Chemistry WebBook, NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology. ↗
  6. McDonald, M. Shane, Mike McAvoy, and Ajit Bhalerao. 1988. "JCAMP-DX: A Standard Form for Exchange of Infrared Spectra in Computer Readable Form." Applied Spectroscopy 42 (1): 151–162. [DOI ↗]
  7. PubChem. 2024. "PubChem Compound Database." National Library of Medicine, National Institutes of Health. Accessed 2025-01-01. ↗
📐 Physical & Chemical Properties (DB) 6 fields MolGod Score: Brak źródła
Property Value Unit Conditions Source
Melting point 117.00 [6][11] °C 1 atm
logP (octanol/water) 0.800 [8][9] — 25°C
📚 Naukowe referencje (Chicago Author-Date) (12 źródeł)
  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. ↗
🔄 Konwerter jednostek stężeń LIVE MolGod_UNITCONV_1
/* translators: %s, %d itd. to wartosci dynamiczne wstawiane do komunikatu. */

Wpisz stężenie Melatonin w dowolnej jednostce — reszta obliczy się automatycznie.

MW: 232.28 g/mol · IUPAC Gold Book ↗

⚗️ Wzory konwersji + cytacje (per formuła)
KonwersjaWzórDokładnośćŹródło
% (w/v) ↔ molarityc (mol/L) = (% × 10) / MW±0.5% rel. when density ≈ 1.0 g/mLIUPAC (2019)
millimolar ↔ molarc (mol/L) = mM × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
molarity (mol/L)c = n/V = (m/MW)/V±0.1% (depends on MW precision)IUPAC (2019)
parts per million (mg/L) ↔ molarityc (mol/L) = ppm / (1000 × MW); equivalently ppm = mg/L for dilute aqueous±1% (density-independent for dilute solutions)IUPAC (2019)
mg/mL ↔ molarityc (mol/L) = (mg/mL × 1000) / MW / 1000 = mg/mL / MW × 1±0.2%Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
g/L ↔ molarityc (mol/L) = (g/L) / MW±0.1% (depends on MW precision)Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
mmol/L ↔ molarityc (mol/L) = mmol/L × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
Celsius ↔ KelvinT(K) = t(°C) + 273.15±0.01 K (ITS-90 scale)BIPM (Bureau International des Poids et Mesures) (2019)
Celsius ↔ FahrenheitT(°F) = T(°C) × 9/5 + 32±0.1 °FThompson A, Taylor BN (2008)
density-corrected % ↔ molarityc (mol/L) = (%w/w × ρ × 10) / MW, ρ in g/mL±0.1% when ρ known to 3 decimalsCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
📚 Bibliografia (8 źródeł autorytatywnych)
  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
🧪 Kreator przygotowania roztworu WIZARD MolGod_PREP_1
① Wybierz stężenie
② Objętość docelowa
③ Rozpuszczalnik

Obliczenia wg: IUPAC Gold Book ↗, Merck ↗

Kompatybilnosc z solwentamiMolGod_SOLV_1

Oszacowanie na podstawie rozpuszczalnosci w wodzie i logP. Dane orientacyjne — nie zastepuja badan eksperymentalnych.

SolwentKompatybilnoscUwagiReferencje
Water~ UmiarkowanaUmiarkowany logP
EtOH+ DobraEtOH — uniwersalny solwent polarny
Acetone+ DobraAceton — dobry dla srednio polarnych
DCM+ DobraDCM — dobry dla niepolarnych
DMSO+ DobraDMSO — silny solwent aprotonowy
THF+ DobraTHF — szeroki zakres rozpuszczalnosci
Hexane- SlabaSlaba rozpuszczalnosc w heksanie
CHCl3+ DobraCHCl3 — dobry dla srednio- i niepolarnych

Zrodla danych dla logP/rozpuszczalnosci: logP: 0.80

📚 Naukowe referencje dla solwentow (Chicago Author-Date) — kliknij aby rozwinac

Kazdy solwent ma 5 niezaleznych zrodel naukowych (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/GESTIS). Pelne cytowania ponizej.

Water · NIST CAS lookup ↗
  1. Rumble, John R., ed. 2023. CRC Handbook of Chemistry and Physics. 104th ed. Boca Raton, FL: CRC Press. [link ↗]
  2. International Association for the Properties of Water and Steam (IAPWS). 1997. "Release on the Static Dielectric Constant of Ordinary Water Substance." IAPWS R8-97. [link ↗]
  3. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220. [link ↗]
  4. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. https://doi.org/10.1201/9781420006834. [link ↗]
  5. IFA. n.d. "Water." GESTIS Substance Database. Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung. Accessed April 25, 2026. [link ↗]
EtOH · NIST CAS lookup ↗
  1. Rumble, John R., ed. 2023. CRC Handbook of Chemistry and Physics. 104th ed. Boca Raton, FL: CRC Press. [link ↗]
  2. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220. [link ↗]
  3. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Hoboken, NJ: Wiley. https://doi.org/10.1002/9780470508183. [link ↗]
  4. Smallwood, Ian M. 1996. Handbook of Organic Solvent Properties. London: Arnold. https://doi.org/10.1016/B978-0-340-64578-9.X5000-9. [link ↗]
  5. IFA. n.d. "Ethanol." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
Acetone · NIST CAS lookup ↗
  1. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. https://doi.org/10.1002/9783527632220. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. Rumble, John R., ed. 2023. CRC Handbook of Chemistry and Physics. 104th ed. Boca Raton, FL: CRC Press. [link ↗]
  4. Smallwood, Ian M. 1996. Handbook of Organic Solvent Properties. London: Arnold. [link ↗]
  5. IFA. n.d. "Acetone." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
DCM · NIST CAS lookup ↗
  1. National Institute of Standards and Technology. n.d. "Methane, dichloro- (CAS 75-09-2)." NIST Chemistry WebBook, SRD 69. Accessed April 25, 2026. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. International Agency for Research on Cancer. 1999. "Dichloromethane." IARC Monographs on the Evaluation of Carcinogenic Risks to Humans 71: 251–315. [link ↗]
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. [link ↗]
  5. IFA. n.d. "Dichloromethane." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
DMSO · NIST CAS lookup ↗
  1. Wypych, George. 2019. Handbook of Solvents. Volume 1: Properties. 3rd ed. Toronto: ChemTec Publishing. https://doi.org/10.1016/C2018-0-02235-3. [link ↗]
  2. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. [link ↗]
  3. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  4. National Institute of Standards and Technology. n.d. "Methane, sulfinylbis- (CAS 67-68-5)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  5. IFA. n.d. "Dimethyl sulfoxide." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
THF · NIST CAS lookup ↗
  1. Armarego, Wilfred L. F., and Christina Li Lin Chai. 2009. Purification of Laboratory Chemicals. 6th ed. Oxford: Butterworth-Heinemann. https://doi.org/10.1016/B978-1-85617-567-8.50003-3. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. National Institute of Standards and Technology. n.d. "Furan, tetrahydro- (CAS 109-99-9)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  4. Smallwood, Ian M. 1996. Handbook of Organic Solvent Properties. London: Arnold. [link ↗]
  5. IFA. n.d. "Tetrahydrofuran." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
Hexane · NIST CAS lookup ↗
  1. National Institute of Standards and Technology. n.d. "Hexane (CAS 110-54-3)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  3. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Hoboken, NJ: Wiley. [link ↗]
  4. Agency for Toxic Substances and Disease Registry. 1999. Toxicological Profile for n-Hexane. Atlanta, GA: U.S. Department of Health and Human Services. [link ↗]
  5. IFA. n.d. "n-Hexane." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
CHCl3 · NIST CAS lookup ↗
  1. International Agency for Research on Cancer. 1999. "Chloroform." IARC Monographs on the Evaluation of Carcinogenic Risks to Humans 73: 131–182. [link ↗]
  2. National Institute of Standards and Technology. n.d. "Methane, trichloro- (CAS 67-66-3)." NIST Chemistry WebBook. Accessed April 25, 2026. [link ↗]
  3. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. Boca Raton, FL: CRC Press. [link ↗]
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Weinheim: Wiley-VCH. [link ↗]
  5. IFA. n.d. "Chloroform." GESTIS Substance Database. Accessed April 25, 2026. [link ↗]
Teoria rozpuszczalnosci (zastosowane w przewidywaniu kompatybilnosci):
  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 73-31-4 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Kompletna bibliografia w akordeonie REFERENCJE (na dole strony) — Chicago Manual of Style 17th ed., Author-Date.

🛡️ Bezpieczeństwo — CAS 73-31-4MolGod_SAFEHUB_MAIN
Informacja o ograniczeniach danych. Informacje dotyczące bezpieczeństwa zawarte na tej stronie mają charakter informacyjny i nie zastępują pełnej karty charakterystyki (SDS). Przed użyciem produktu zapoznaj się z aktualną kartą charakterystyki producenta oraz wytycznymi GHS/CLP. Klasyfikacja CLP dotyczy czystej substancji bulk, nie preparatów handlowych.
MolGod_GHS_SF1

Brak zharmonizowanej klasyfikacji GHS dla tej substancji — patrz aktualna karta charakterystyki (SDS) dostawcy.

📚 Skonsolidowane referencje naukowe — Chicago Author-Date 10 źródeł

Referencje zebrane ze wszystkich zakładek Safety Hub. CAS: 73-31-4 · 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, Regulacje
  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

Zakładki z własnymi referencjami (Emergency, PPE, Storage, Waste) zawierają dodatkowe pozycje bibliograficzne wewnątrz swoich sekcji.

📈 Statystyka analityczna (t-test · RSD · Grubbs · Q-Dixon) ICH Q2
MolGod_STATS_1

Wklej serię powtórzeń pomiarów (CSV lub po jednej liczbie w linii). Kalkulator policzy średnią, odchylenie, 95% CI, wykryje outliery (Grubbs + Dixon Q).

Separator: przecinek, spacja, tab, nowa linia. Min 3 pomiary.
📐 Formuły statystyczne
  • x̄ = Σxᵢ / n — średnia arytmetyczna
  • s² = Σ(xᵢ - x̄)² / (n-1) — wariancja próby
  • s = √s² — odchylenie standardowe
  • RSD% = (s / x̄) × 100% — względne odchylenie
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — test Grubbsa
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

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

🧪 Kalkulator receptur buforów UNIKALNE
MolGod_BUFFER_1
References: Wartości pKa z Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Wybierz bufor z listy 20 popularnych systemów → wprowadź docelowe pH → otrzymasz dokładny przepis z masami do odważenia.

Krok 1: Wybierz system buforowy

📜 Historia przepisów (ostatnie 10)
📅 Project Planner — Lab experiment manager NOWOŚĆ
MolGod_PLANNER_1

Zaplanuj cały projekt laboratoryjny: dodaj eksperymenty z reagentami, powtórzeniami i czasem trwania. Otrzymasz wykres Gantta, listę zakupów (linki do sklepu!), budżet z 10% marginesem i macierz ryzyka GHS.

🔬 Metody HPLC/GC (2 metoda)
📄
Metagenomic and metabolite analysis reveals microbial community and metabolite dynamics in fermented Indigo naturalis
HPLCHeliyon202490% ✓OAResearch method (specificity, robustness)
Kolumna: C18, 0.22 \u03bcm
Faza: mobile phase consisting of ultrapure water (with 0
Detekcja: UV 286 nm
Przepływ: 0.35 mL/min
Temp.: 80.0 °C
Inj.: 1200 \u03bcL
Gradient: was programmed as follows: at 0
Yuan X, Zhang D, Li D, Ji Q, Gao J, Hou F, et al. Metagenomic and metabolite analysis reveals microbial community and metabolite dynamics in fermented Indigo naturalis. Heliyon. 2024;10:e36733. doi:10.1016/j.heliyon.2024.e36733
🔗 DOI🏠 PMC📚 PubMed📄 PDF
The soaking and fermentation of the stems and leaves is an important intermediate step in the processing of Indigo Naturalis. However, the relationship between microbiota and Indigo Naturalis yields is still poorly understood. This study aimed to compare microbial communities and metabolite profiles at various stages of soaking fermentation, followed by validation of the results using HPLC. A total of 731 compounds were identified through metabolite analysis, with the levels of indigo and indirubin peaking after 36 h of fermentation. Metagenomes revealed Firmicutes, Proteobacteria, Bacteroidetes and Actinobacteria were identified as the most abundant microbial phyla in soaking fermentation. Correlation analysis indicated that the yields of indigo and indirubin may be affected by Lactococcus, Clostridium, and Enterobacter through the regulation of related synthetic enzymes. The findings offered novel perspectives on the relationship of microorganisms and Indigo Naturalis yields.
MetagenomeMicrobial community structureMetabolites
📄
Melatonin Boosts the Phytochemical Profile of Blood Oranges, Enhancing (Poly)phenol and Endogenous Melatonin Content, Through Pre‐ and Postharvest Treatments
UHPLCJournal of Pineal Research202590% ✓OAResearch method (specificity, robustness)
Kolumna: C18, 1.7 \u03bcm
Faza: mobile phase consisted of solvent A (Milli‐Q water with 5% formic acid,…
Detekcja: MS/MS
Przepływ: 0.90 mL/min
Temp.: 25.0 °C
Inj.: 500 \u03bcL
Gradient: elution programme began with 15% B, gradually increasing to 30%…
Garrido‐Auñón F, Padilla‐González P, Serrano M, Valero D, Agulló V. Melatonin Boosts the Phytochemical Profile of Blood Oranges, Enhancing (Poly)phenol and Endogenous Melatonin Content, Through Pre‐ and Postharvest Treatments. Journal of Pineal Research. 2025;77:e70078. doi:10.1111/jpi.70078
🔗 DOI🏠 PMC📚 PubMed📄 PDF
ABSTRACTNowadays, increasing consumer awareness of the link between diet and health has underscored the value of bioactive compounds in preventing metabolic disorders. In this frame, blood oranges are highly appreciated for their unique phytochemical profile, including anthocyanins along with flavanones with recognised health‐promoting benefits. This study explores, for the first time, the combined effect of preharvest and postharvest melatonin treatments, along with cold storage, on the accumulation of endogenous melatonin, phenolic compounds and vitamin C in blood orange (Citrus sinensis L. Osbeck) cv. ‘Sanguinelli’. HPLC‐QqQ‐MS/MS and HPLC‐DAD methodologies were used to analyse the bioactive compounds in leaves, flavedo, albedo and juice. The findings demonstrate that exogenous melatonin is an effective strategy to enhance the functional quality of blood oranges. Preharvest treatments increased endogenous melatonin levels in the leaves, flavedo and albedo, either by positive absorption or enhancement of biosynthetic pathways. However, postharvest melatonin treatments combined with cold storage led to the highest endogenous melatonin accumulation, suggesting a synergistic effect between exogenous supply and stress‐induced biosynthesis. Furthermore, melatonin treatments promoted the accumulation of flavanones, anthocyanins and vitamin C, although cold storage remained the key driver of anthocyanin biosynthesis. These findings highlight the potential of melatonin as a natural elicitor to improve the functional quality of blood oranges, identifying preharvest melatonin treatment at 1 mM combined with cold storage as the most effective strategy. Nonetheless, further studies on bioavailability and bioactivity are required to determine whether these enhancements translate into greater health benefits for consumers.
anthocyaninsbioactive compoundsblood orangecold storageflavanonesmelatonin
📈 Walidacja metody (ICH Q2)

Brak danych walidacyjnych. Skontaktuj się z autorem metody.

Parametry wg: ICH Q2(R2) ↗

📋 Porównanie metod
Technika Kolumna Czas analizy Detekcja Faza ruchoma Źródło
HPLC C18 — UV 286 nm mobile phase consisting of ultrapure water (with 0 DOI ↗
UHPLC C18 — MS/MS mobile phase consisted of solvent A (Milli‐Q water… DOI ↗
🔧 Troubleshooting HPLC/GC
Szerokie piki / tailing
Przyczyny: Zużyta kolumna, złe pH fazy, przeciążenie kolumny, dead volume
Rozwiązanie: Wymień kolumnę, sprawdź pH buforu (±0.2), zmniejsz objętość nastrzyku, sprawdź połączenia
Dryft linii bazowej
Przyczyny: Zanieczyszczona faza ruchoma, gradient, temperatura niestabilna
Rozwiązanie: Odgazuj fazę, filtruj 0.22 µm, stabilizuj temperaturę kolumny, przemyj system
Brak piku
Przyczyny: Zła długość fali, substancja nie eluuje, rozkład termiczny, zła faza
Rozwiązanie: Sprawdź λmax, wydłuż gradient, obniż temperaturę, zmień fazę ruchomą
Piki duchów (ghost peaks)
Przyczyny: Zanieczyszczenie systemu, carry-over, zanieczyszczone fiolki
Rozwiązanie: Wyczyść system (MeOH/H₂O), użyj nowych fiolek, wstrzyknij blank
Niski odzysk
Przyczyny: Adsorpcja na ściankach, niedostateczna ekstrakcja, rozkład
Rozwiązanie: Dodaj IS, silanizuj szkło, zoptymalizuj ekstrakcję, sprawdź stabilność

Źródła: Snyder, Kirkland & Dolan ↗, Waters ↗

🧪 Rozpuszczalność i kompatybilność z solwentami MolGod_SOLUB_1
Molekuła
Melatonin
Wzór
C13H16N2O2
logP
0.80
Masa (g/mol)
232.28
Polarność
Umiarkowana

⚠️ Estymacja GC (Hoftyzer-Van Krevelen). Brak danych literaturowych HSP dla tego CAS — precyzja ±2 MPa½. Weryfikuj eksperymentalnie.

Solwent Kompat. Ra Wizual GC-MS HPLC Zastosowania Referencje
Water (H₂O)− Słaba36.8
✗ NieA (aqueous) (RP)
buffercell-cultureanalyticalextraction (hydrofilne)
Ethanol (EtOH)− Słaba14.4
✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)− Słaba17.5
✗ 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− Słaba17.9
✗ 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)− Słaba12.8
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallization (anti-solvent)
Chloroform (CHCl₃)~ Śr.11.9
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane~ Śr.10.8
✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene− Słaba13.8
✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisDean-Stark azeotropic drying
📚 Naukowe referencje dla solwentów (Chicago Author-Date) — kliknij aby rozwinąć

11 solwentów × 5 niezależnych źródeł naukowych (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/Wypych/Armarego/Snyder/GESTIS). 55+ pełnych cytowań poniżej.

Water (H₂O)
  1. NIST — NIST Chemistry WebBook — Water (CAS 7732-18-5)
  2. CRC — CRC Handbook of Chemistry and Physics, 104th ed., Sec. 8 (Properties of Water)
  3. IAPWS — IAPWS Release on Static Dielectric Constant of Water
  4. Reichardt 2011 — Solvents and Solvent Effects in Organic Chemistry
  5. GESTIS — GESTIS Substance Database — Water
Ethanol (EtOH)
  1. NIST — NIST Chemistry WebBook — Ethanol (CAS 64-17-5)
  2. CRC — CRC Handbook — Ethanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — Ethanol eluotropic
  4. Smallwood — Handbook of Organic Solvent Properties — Ethanol
  5. GESTIS — GESTIS Substance Database — Ethanol
Methanol (MeOH)
  1. NIST — NIST Chemistry WebBook — Methanol (CAS 67-56-1)
  2. CRC — CRC Handbook — Methanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — MeOH eluotropic, eo=0.95
  4. GESTIS — GESTIS Substance Database — Methanol
Acetone
  1. NIST — NIST Chemistry WebBook — Acetone (CAS 67-64-1)
  2. CRC — CRC Handbook — Acetone physical & thermodynamic constants
  3. Hansen 2007 — Hansen Solubility Parameters — Acetone (dD=15.5, dP=10.4, dH=7.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Acetone
  5. GESTIS — GESTIS Substance Database — Acetone
Acetonitrile (ACN)
  1. NIST — NIST Chemistry WebBook — Acetonitrile (CAS 75-05-8)
  2. CRC — CRC Handbook — Acetonitrile constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — ACN gold-standard HPLC eluent
  4. Reichardt 2011 — Solvents and Solvent Effects — ACN dipolar aprotic
  5. GESTIS — GESTIS Substance Database — Acetonitrile
DMSO
  1. NIST — NIST Chemistry WebBook — DMSO (CAS 67-68-5)
  2. Wypych 2019 — Handbook of Solvents Vol. 1 — DMSO comprehensive properties
  3. Hansen 2007 — HSP — DMSO (dD=18.4, dP=16.4, dH=10.2)
  4. Reichardt 2011 — Solvents and Solvent Effects — DMSO E_T(30)=45.1, dipolar aprotic
  5. GESTIS — GESTIS Substance Database — DMSO
THF
  1. NIST — NIST Chemistry WebBook — THF (CAS 109-99-9)
  2. Armarego 2009 — Purification of Laboratory Chemicals — THF drying & peroxide test
  3. Hansen 2007 — Hansen Solubility Parameters — THF (dD=16.8, dP=5.7, dH=8.0)
  4. Smallwood — Handbook of Organic Solvent Properties — THF
  5. GESTIS — GESTIS Substance Database — Tetrahydrofuran
DCM (CH₂Cl₂)
  1. NIST — NIST Chemistry WebBook — Dichloromethane (CAS 75-09-2)
  2. IARC 71 — IARC Monograph 71 — DCM (Group 2A carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — DCM (dD=18.2, dP=6.3, dH=6.1)
  4. Reichardt 2011 — Solvents and Solvent Effects — DCM polarity index
  5. GESTIS — GESTIS Substance Database — Dichloromethane
Chloroform (CHCl₃)
  1. NIST — NIST Chemistry WebBook — Chloroform (CAS 67-66-3)
  2. IARC 73 — IARC Monograph 73 — Chloroform (Group 2B carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — CHCl3 (dD=17.8, dP=3.1, dH=5.7)
  4. Reichardt 2011 — Solvents and Solvent Effects — CHCl3 H-bond donor strength
  5. GESTIS — GESTIS Substance Database — Chloroform
n-Hexane
  1. NIST — NIST Chemistry WebBook — n-Hexane (CAS 110-54-3)
  2. ATSDR n-Hexane — ATSDR Toxicological Profile for n-Hexane — neuropatia obwodowa (n-Heksan NIE jest kancerogenem IARC)
  3. Hansen 2007 — Hansen Solubility Parameters — n-Hexane (dD=14.9, dP=0, dH=0)
  4. Snyder & Kirkland — Modern Liquid Chromatography — n-Hexane NP standard, eo=0.00
  5. GESTIS — GESTIS Substance Database — n-Hexane
Toluene
  1. NIST — NIST Chemistry WebBook — Toluene (CAS 108-88-3)
  2. IARC 71 — IARC Monograph 71 — Toluene
  3. Hansen 2007 — Hansen Solubility Parameters — Toluene (dD=18.0, dP=1.4, dH=2.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Toluene
  5. GESTIS — GESTIS Substance Database — Toluene
Teoria rozpuszczalności (zastosowane w przewidywaniu kompatybilności):
  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 — Kompletny tabularny zestaw 250+ rozpuszczalników (ε, μ, donicity, acceptor numbers).
  8. PubChem Compound Database — CAS 73-31-4 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Kompletna bibliografia w akordeonie REFERENCJE (na dole strony) — Chicago Manual of Style 17th ed., Author-Date.

📚 FAQ techniczne — Melatonin (5) MolGod_TECHFAQ_1
❓ Jak przygotować roztwór standardowy melatoniny o stężeniu 1 mg/mL?
MolGod_TECHFAQ_1_Q0
Aby przygotować roztwór standardowy melatoniny o stężeniu 1 mg/mL, należy odważyć 1 mg substancji (co odpowiada około 0.0043 mmol) i rozpuścić w 1 mL rozpuszczalnika. Przy masie molowej melatoniny wynoszącej 232.28 g/mol, obliczenia są następujące: masa substancji = stężenie (mg/mL) × objętość (mL) = 1 mg/mL × 1 mL = 1 mg.
Pomocne?
❓ W jakich warunkach należy przechowywać melatoninę, aby zachować jej stabilność?
MolGod_TECHFAQ_1_Q1
Melatoninę należy przechowywać w temperaturze poniżej 25°C, chroniąc przed światłem (najlepiej w ciemnej butelce) i wilgocią. Zalecane jest przechowywanie w lodówce (2-8°C) po otwarciu opakowania.
Pomocne?
❓ Jaka metoda analityczna jest najbardziej odpowiednia do oznaczania melatoniny i dlaczego?
MolGod_TECHFAQ_1_Q2
Najbardziej odpowiednią metodą analityczną dla melatoniny jest wysokosprawna chromatografia cieczowa (HPLC) ze względu na jej polarny charakter (logP ≈ -3.5) i średnią masę molową (232.28 g/mL). HPLC pozwala na precyzyjne rozdzielenie i ilościowe oznaczenie melatoniny.
Pomocne?
❓ Jakie są potencjalne reaktywności i niezgodności chemiczne melatoniny?
MolGod_TECHFAQ_1_Q3
Melatonina jest wrażliwa na utlenianie, szczególnie w obecności światła i tlenu. Może reagować z silnymi kwasami i zasadami, prowadząc do degradacji. Niezgodna z reduktorami (np. DMSO) i utleniaczami (np. H2O2). Zaleca się stosowanie buforów o pH 4-7.
Pomocne?
❓ W jakich praktycznych zastosowaniach laboratoryjnych wykorzystuje się melatoninę?
MolGod_TECHFAQ_1_Q4
Melatonina jest używana w badaniach farmakologicznych do oceny rytmu dobowego, regulacji snu i jako marker stresu oksydacyjnego. Stosowana jest również w syntezie pochodnych melatoniny oraz jako wzorzec w analizie zaburzeń snu.
Pomocne?
🧮 Kalkulatory laboratoryjne (8) MolGod_LABCALC_1
Rozcieńczenie (C₁V₁=C₂V₂)
Molarność (M=n/V)
pH Bufor (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Masa → Mole
Stężenie % → M
ppm → mg/L
Temperatura C↔F↔K

Formuły zweryfikowane: IUPAC Gold Book ↗, DOI ↗

📊 Bazy widm spektroskopowych MolGod_SPECDB_3
📋 Generator protokołu laboratoryjnego MolGod_PROTOCOL_1

Protokół wygenerowany na podstawie: GHS SDS, Aldrich Lab Guide ↗

🏷️ Generator etykiety (QR) MolGod_LABEL_1
Melatonina• Melatonin• CAS: 73-31-4• Formula: C13H16N2O2• Mass: 232.28 g/molSOLUTIONSul. Juliana Przybosia 8, 21-400 Łuków+48 794 171 794[email protected]www.marmakchemicals.euWYŁĄCZNIE DO CELÓW LABORATORYJNYCH!Batch No.: Netto Mass: MFG: Init: • IUPAC: N-[2-(5-methoxy-1H-indol-3-yl)ethyl]acetamide
ADMET — profil farmakologiczny
MolGod_ADMET_1

Wykres radarowy drug-likeness (Lipinski Ro5 / Veber). Strefa zielona = zgodność z kryteriami.

Dane predykcyjne — właściwości obliczone in silico (SMILES/RDKit). Nie zastępują badań klinicznych. Nie używaj do oceny leków bez weryfikacji eksperymentalnej.

MW232.3LogP0.8HBD2HBA2RotB4TPSA54.1 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✓ Ghose✓ REOS✗ Lead-like Ro3 (RotB=4)
WłaściwośćWartośćOcena
Wchłanianie (GI)wysokie✓
Przepuszczalność BBBtak (przenika)
Biodostępność (Daina 2017)
55%
Profil CYP450CYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
Alerty PAINS0✓
Alerty Brenka0✓
pKa (pH 7.4)16.51 (experimental)
hERG (kardiotoks.)✓ nie
P-gp substrat—
Ames mutagenność✓ nie
DILI (wątrobok.)—
LogS (rozp. wod.)—
Źródła (metodologia ADMET)
  1. Lipinski, Christopher A., Franco Lombardo, Beryl W. Dominy, and Paul J. Feeney. 1997. "Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings." Advanced Drug Delivery Reviews 23 (1-3): 3-25.
  2. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, et al. 2002. "Molecular properties that influence the oral bioavailability of drug candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  3. Daina, Antoine, Olivier Michielin, and Vincent Zoete. 2017. "SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness." Scientific Reports 7: 42717.
  4. Egan, William J., and Gregory Lauri. 2002. "Prediction of intestinal permeability." Advanced Drug Delivery Reviews 54 (3): 273-289.
  5. Baell, Jonathan B., and Georgina A. Holloway. 2010. "New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries." Journal of Medicinal Chemistry 53 (7): 2719-2740.
  6. Brenk, Ruth, Alessandro Schipani, Daniel James, et al. 2008. "Lessons learnt from assembling screening libraries for drug discovery for neglected diseases." ChemMedChem 3 (3): 435-444.
  7. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions." Journal of Cheminformatics 1: 8.
  8. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  9. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  10. Ghose, Arup K., Vellarkad N. Viswanadhan, and John J. Wendoloski. 1999. "A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery." Journal of Combinatorial Chemistry 1 (1): 55-68.
  11. Tice, Raymond R., Christopher P. Austin, Robert J. Kavlock, and John R. Bucher. 2013. "Improving the Human Hazard Characterization of Chemicals: A Tox21 Update." Environmental Health Perspectives 121 (7): 756-765.
  12. Leeson, Paul D., and Brian Springthorpe. 2007. "The Influence of Drug-Like Concepts on Decision-Making in Medicinal Chemistry." Nature Reviews Drug Discovery 6 (11): 881-890.
  13. Hann, Michael M. 2011. "Molecular Obesity, Potency and Other Addictions in Drug Discovery." MedChemComm 2 (5): 349-355.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Walters, W. Patrick, and Mark A. Murcko. 2002. "Prediction of 'Drug-Likeness.'". Advanced Drug Delivery Reviews 54 (3): 255–271. https://doi.org/10.1016/S0169-409X(02)00003-0.
  16. Congreve, Miles, Robin Carr, Christopher Murray, and Harren Jhoti. 2003. "A 'Rule of Three' for Fragment-Based Lead Discovery?" Drug Discovery Today 8 (19): 876–877. https://doi.org/10.1016/S1359-6446(03)02831-9.
  17. Brenk, Ruth, Alessandro Schipani, Daniel James, Agata Krasowski, Iain Hugh Gilbert, Julie Frearson, and Paul Graham Wyatt. 2008. "Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases." ChemMedChem 3 (3): 435-444.
  18. Schomburg, Karen T., Sascha Bietz, Hans Briem, Andrea M. Henzler, Stefan Urbaczek, and Matthias Rarey. 2014. "Facing the Challenges of Structure-Based Target Prediction by Inverse Virtual Screening." Journal of Chemical Information and Modeling 54 (6): 1676-1686.
  19. Bemis, Guy W., and Mark A. Murcko. 1996. "The Properties of Known Drugs. 1. Molecular Frameworks." Journal of Medicinal Chemistry 39 (15): 2887-2893.
  20. Schomburg, Karen T., and Matthias Rarey. 2014. "What Is the Potential of Structure-Based Target Prediction Methods?" Future Medicinal Chemistry 6 (17): 1987-1989.
  21. Ibrahim, Sally. 2026. "Melatonin can be a safe and effective sleep aid for all ages – but product inconsistencies and improper dosing lead to real harms.". https://doi.org/10.64628/aai.d7sg75xa6. [DOI ↗]
  22. Park, Woong June. 2024. "Have All of the Phytohormonal Properties of Melatonin Been Verified?." International Journal of Molecular Sciences 25 (6): 3550. https://doi.org/10.3390/ijms25063550. [DOI ↗]
  23. Turek, Fred W.. 2006. "Musing About Melatonin and Sleep: It's All About Timing." Sleep 29 (5): 606-607. https://doi.org/10.1093/sleep/29.5.606. [DOI ↗]
  24. Kennaway, David. 1997. "Melatonin - what's all the fuss about?." Australian Prescriber 20 (4): 98. https://doi.org/10.18773/austprescr.1997.089. [DOI ↗]
  25. Bartness, T. J., Goldman, B. D.. 1989. "Mammalian pineal melatonin: A clock for all seasons." Experientia 45 (10): 939-945. https://doi.org/10.1007/bf01953051. [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. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  33. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  34. 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.
  35. Venkatramanujan Srinivasan, Gabriella Gobbi, Samuel D. Shillcutt, Sibel Suzen. 2014. "Melatonin." Taylor & Francis Group. ↗
  36. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  37. 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. ↗
  38. Russel J. Reiter, Jo Robinson. 1996. "Melatonin." Bantam. ↗
  39. Russel J. Reiter. 1995. "Melatonin." Bantam Books. ↗
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📚 Przegląd literatury naukowej — CAS 73-31-4MolGod_LITHUB_MAIN
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  1. #1
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Description





Melatonina – Opis Produktu Chemicznego

Charakterystyka

  • Nazwa chemiczna: Melatonina
  • Wzór sumaryczny: C10H12N2O
  • Masa molowa: 203.24 g/mol
  • Gęstość w temperaturze pokojowej: 1.67 g/cm³
  • Rozpuszczalność w wodzie w temperaturze pokojowej: 2.39 g/100 ml

Zastosowanie

  1. Przemysł farmaceutyczny: Jako składnik leków na bezsenność i zaburzenia snu.
  2. Przemysł spożywczy: W produkcji żywności, np. do regulacji rytmu dobowego u zwierząt hodowlanych.
  3. Przemysł kosmetyczny: Jako składnik kremów i serum przeciwstarzeniowych ze względu na swoje właściwości antyoksydacyjne i regenerujące skórę.

Bezpieczeństwo

Melatonina jest substancją stosunkowo bezpieczną, gdy używana zgodnie z zaleceniami. Długotrwałe stosowanie dużych dawek może jednak powodować skutki uboczne, takie jak bóle głowy, nudności czy zaburzenia żołądkowe. Należy również pamiętać o unikaniu ekspozycji na promieniowanie UV podczas stosowania melatoniny, ponieważ może to osłabiać jej działanie.

Przechowywanie

Melatoninę należy przechowywać w suchym i ciemnym miejscu, z dala od źródeł ciepła i promieniowania UV. Temperatura optymalnego przechowywania to <25°C. Po otwarciu opakowania produkt powinien być zużyty w ciągu kilku tygodni, a jego trwałość może być obniżona przez ekspozycję na światło i powietrze.


Additional information

Gramatura

1 g — zł100.86

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📈 Gradient HPLC — optymalizator (LSS) SZABLON

Gradient oparty na PubChem XLogP3 + LSS (Snyder et al. 2010, ch. 9).

  • Kolumna: C18
  • Bufor: phosphate
  • Przepływ: 1 mL/min
  • logP: 0.8 (PubChem XLogP3)
  • Rampa: 11% → 95% B, 10 min
  • Całkowity czas analizy: 23 min
t (min) %A %B flow (mL/min) Komentarz
0 89 11 1 start (równowaga)
2 89 11 1 koniec hold init
12 5 95 1 koniec rampy LSS
17 5 95 1 mycie kolumny
18 89 11 1 powrót do init
23 89 11 1 reekwilibracja
📚 Naukowe referencje (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/73-31-4

📐 Kalkulator symetrii piku HPLC (USP Tf / As) FEATURE J

Oblicz współczynnik ogonowości USP (T) oraz asymetrię (As) z połówkowych szerokości piku. Wprowadź a (lewa półszerokość) i b (prawa półszerokość) zmierzone na 5% lub 10% wysokości piku.

📚 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 ↗]
📊 Kalkulator rozdzielczości i liczby półek (Rs, N, H) FEATURE K

Oblicz rozdzielczość Rs, liczbę półek teoretycznych N oraz HETP (H) dla pary pików HPLC. Wprowadź czasy retencji, szerokości pików (na 50% lub na podstawie) i długość kolumny.

📚 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 ↗]

Related products

🧪 System Suitability — kalkulator live (USP <621>) FEATURE L

Wprowadź dane z 5-6 wstrzyknięć (areas, tr, tailing, plates) — kalkulator policzy %RSD, średnie i sprawdzi zgodność z USP <621>. Możesz wkleić CSV (po przecinku) lub edytować pojedyncze wartości.

📚 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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📚 REFERENCJE (Bibliografia zbiorcza, Chicago Author-Date) 104 items
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Wszystkie źródła naukowe cytowane w akordeonach powyżej dla CAS 73-31-4. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Bazy danych naukowych

  1. NIST. 2026. NIST Chemistry WebBook: CAS 73-31-4. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=73-31-4. (Accessed 2026-08-01.)
  2. AIST. 2026. Spectral Database for Organic Compounds (SDBS): CAS 73-31-4. 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 73-31-4. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=73-31-4. (Accessed 2026-08-01.)

📐 Standardy / Wytyczne

  1. ICH. 2026. "ICH Harmonised Guideline: CAS 73-31-4." 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.
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📖 Książki

  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.
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  5. Urben, Peter G. 2017. Bretherick's Handbook of Reactive Chemical Hazards, 8th Edition. Academic Press / Elsevier, Oxford. https://www.sciencedirect.com/book/9780081010594.

📘 Monografie

  1. IARC. 2026. IARC Monographs on the Identification of Carcinogenic Hazards to Humans: CAS 73-31-4. Lyon, France: International Agency for Research on Cancer, World Health Organization. (Accessed 2026-08-01.)

📄 Artykuły naukowe (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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