Retention modeling and simultaneous optimization of pH value and gradient steepness in RP-HPLC using feed-forward neural networks

Journal of Separation Science

Volumn 26, Issue 17, 2003, Pages 1541-1546

  Shan, Yichu ^a   Zhao, Ruihuan ^a   Zhang, Yukui ^a   Zhang, Weibing ^a   Tian, Yan ^a  

^a DALIAN INSTITUTE OF CHEMICAL PHYSICS   (China)

Author keywords

Linear gradient; Neural networks; Optimization; pH value; Retention modeling

Indexed keywords

AMINO ACIDS; FLUORESCENCE; FUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; ORGANIC SOLVENTS; PH EFFECTS; PHASE COMPOSITION;

MOBILE PHASE; RETENTION TIME;

HIGH PERFORMANCE LIQUID CHROMATOGRAPHY;

AMINO ACID; AMINO ACID DERIVATIVE; ORGANIC SOLVENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MODEL; CONCENTRATION (PARAMETERS); DERIVATIZATION; PH MEASUREMENT; PHYSICAL PHASE; POSITIVE FEEDBACK; PRIORITY JOURNAL; PROCESS OPTIMIZATION; REVERSED PHASE HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; TIME;

EID: 0345329549     PISSN: 16159306     EISSN: None     Source Type: Journal    
DOI: 10.1002/jssc.200301244     Document Type: Article

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