|
Volumn 628, Issue 2, 2008, Pages 162-172
|
Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography based on WHIM and GETAWAY molecular descriptors
|
Author keywords
Artificial neural network; GETAWAY descriptors; Pesticides; Retention models; Reversed phase high performance liquid chromatography; WHIM descriptors
|
Indexed keywords
ACETONITRILE;
ACIDS;
BODY FLUIDS;
CHROMATOGRAPHIC ANALYSIS;
CHROMATOGRAPHY;
HERBICIDES;
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY;
HIGH PRESSURE LIQUID CHROMATOGRAPHY;
PESTICIDES;
PHOTORESISTS;
QUANTUM CHEMISTRY;
SPRAYING;
SULFUR COMPOUNDS;
ARTIFICIAL NEURAL NETWORK;
GETAWAY DESCRIPTORS;
RETENTION MODELS;
REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY;
WHIM DESCRIPTORS;
LIQUID CHROMATOGRAPHY;
PESTICIDE;
ANALYTIC METHOD;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
LIQUID CHROMATOGRAPHY;
MODEL;
PESTICIDE SPRAYING;
PRIORITY JOURNAL;
QUANTUM CHEMISTRY;
REVERSED PHASE HIGH PERFORMANCE LIQUID CHROMATOGRAPHY;
|
EID: 53149129380
PISSN: 00032670
EISSN: None
Source Type: Journal
DOI: 10.1016/j.aca.2008.09.018 Document Type: Article |
Times cited : (29)
|
References (48)
|