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Volumn 1189, Issue 1-2, 2008, Pages 366-373
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Monitoring of fosinopril sodium impurities by liquid chromatography-mass spectrometry including the neural networks in method evaluation
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Author keywords
Artificial neural networks; Forced degradation studies; Fosinopril sodium; Impurity profiling; MS detection
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Indexed keywords
DRUG PRODUCTS;
LIQUID CHROMATOGRAPHY;
MASS SPECTROMETRY;
NEURAL NETWORKS;
SODIUM COMPOUNDS;
FORCED DEGRADATION STUDIES;
FOSINOPRIL SODIUM;
IMPURITY PROFILING;
IMPURITIES;
ACETIC ACID;
AMMONIUM ACETATE;
BUFFER;
FOSINOPRIL;
FOSINOPRILAT;
METHANOL;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BACK PROPAGATION;
CHEMICAL COMPOSITION;
CONCENTRATION (PARAMETERS);
DRUG DEGRADATION;
DRUG IMPURITY;
DRUG MONITORING;
DRUG SCREENING;
EVALUATION;
EXPERIMENTAL DESIGN;
FLOW RATE;
HUMAN;
LIQUID CHROMATOGRAPHY;
MASS SPECTROMETRY;
PARTICLE SIZE;
PRIORITY JOURNAL;
VALIDATION PROCESS;
CHROMATOGRAPHY, HIGH PRESSURE LIQUID;
FOSINOPRIL;
MOLECULAR STRUCTURE;
SPECTROMETRY, MASS, ELECTROSPRAY IONIZATION;
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EID: 41949101118
PISSN: 00219673
EISSN: None
Source Type: Journal
DOI: 10.1016/j.chroma.2007.11.076 Document Type: Article |
Times cited : (17)
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References (33)
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