NMR and Bayesian regularized neural network regression for impurity determination of 4-aminophenol

Journal of Pharmaceutical and Biomedical Analysis

Volumn 29, Issue 3, 2002, Pages 495-505

  Forshed, Jenny ^a   Andersson, Fredrik O ^b   Jacobsson, Sven P ^a,b  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b ASTRAZENECA R AND D   (Sweden)

Author keywords

4 Aminophenol; Bayesian regularized neural networks; Impurity determination; Paracetamol; Quantitative nuclear magnetic resonance

Indexed keywords

4 AMINOPHENOL; CARBON 13; HYDROXYL GROUP; PARACETAMOL; PROTON;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CALIBRATION; ERROR; EVALUATION; FOURIER ANALYSIS; GENETIC ALGORITHM; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL;

ACETAMINOPHEN; AMINOPHENOLS; BAYES THEOREM; CALIBRATION; DRUG CONTAMINATION; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR;

EID: 0036643803     PISSN: 07317085     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0731-7085(02)00086-9     Document Type: Article

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