Quantitative analysis of chiral compounds from unresolved peaks in capillary electrophoresis using multivariate calibration with experimental design and artificial neural networks

被引：19

作者：

Dohnal, V ^{[1
]}

Li, H ^{[1
]}

Farková, M ^{[1
]}

Havel, J ^{[1
]}

机构：

[1] Masaryk Univ, Fac Sci, Dept Analyt Chem, CZ-61137 Brno, Czech Republic

来源：

CHIRALITY | 2002年 / 14卷 / 06期

关键词：

chiral separation; artificial neural networks; experimental design; quantitation; unresolved peaks;

D O I：

10.1002/chir.10108

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

Quantitation of optical isomers can be achieved even from incompletely resolved peaks with a multivariate calibration applying a combination of experimental design and artificial neural networks (ANN). Using the proposed approach, method development can be more efficient and analysis time shortened while quantitation of optical isomers with acceptable precision (+/-1-3%) can be achieved.

引用

页码：509 / 518

页数：10

共 38 条

[1] INTER-COMPANY CROSS-VALIDATION EXERCISE ON CAPILLARY ELECTROPHORESIS - QUANTITATIVE-DETERMINATION OF DRUG COUNTERION LEVEL [J].