Document Detail

Orthogonal array design for optimizing the capillary zone electrophoretic analysis of heterocyclic amines.
MedLine Citation:
PMID:  8847386     Owner:  NLM     Status:  MEDLINE    
Orthogonal array design (OAD) has been applied to the optimization of the capillary zone electrophoretic (CZE) analysis of heterocyclic amines (HCAs), carcinogenic and mutagenic compounds that are found in cooked foods. The factors affecting separation efficiency, such as the pH of the buffer solution, organic modifier and buffer concentrations, the applied potential, and the operating temperature, are studied in two steps under OAD. In the first experiment, each variable is tested at two levels using an OA16 (2(15)) matrix to determine the most important factors and the interactions between them. Based on the results of the first step, the second experiment is implemented according to a three-level OAD with an OA9 (3(4)) matrix, in which more exact values for the important variables are chosen. Finally, the determined optimum conditions for the CZE analysis of the 12 HCAs are applied and evaluated.
J Wu; M K Wong; H K Lee; C N Ong
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of chromatographic science     Volume:  34     ISSN:  0021-9665     ISO Abbreviation:  J Chromatogr Sci     Publication Date:  1996 Mar 
Date Detail:
Created Date:  1996-10-24     Completed Date:  1996-10-24     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0173225     Medline TA:  J Chromatogr Sci     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  139-45     Citation Subset:  IM    
Department of Chemistry, National University of Singapore, Republic of Singapore.
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MeSH Terms
Electrophoresis, Capillary
Food Analysis / methods*
Heterocyclic Compounds / analysis*
Hydrogen-Ion Concentration
Indicators and Reagents
Spectrophotometry, Ultraviolet
Reg. No./Substance:
0/Heterocyclic Compounds; 0/Indicators and Reagents

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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