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

Chirality

Volumn 14, Issue 6, 2002, Pages 509-518

  Dohnal, Vlastimil ^a   Li, Hua ^a,b   Farková, Marta ^a   Havel, Josef ^a  

^a MASARYK UNIVERSITY   (Czech Republic)

^b NORTHWEST UNIVERSITY   (China)

Author keywords

Artificial neural networks; Chiral separation; Experimental design; Quantitation; Unresolved peaks

Indexed keywords

ACCURACY; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CAPILLARY ELECTROPHORESIS; CHIRALITY; ISOMER; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

EID: 0036309919     PISSN: 08990042     EISSN: None     Source Type: Journal    
DOI: 10.1002/chir.10108     Document Type: Article

References (35)

1. Neural networks for optimization of high-performance capillary zone electrophoresis methods: A new method using a combination of experimental design and artificial neural networks
2. Use of artificial neural networks in capillary zone electrophoresis
3. Prediction of chiral separations using a combination of experimental design and artificial neural networks
4. Artificial neural networks for computer-aided modelling and optimisation in micellar electrokinetic chromatography
5. Capillary zone electrophoresis determination of galanthamine in biological fluids and pharmaceutical preparatives: Experimental design and artificial neural network optimization
6. Prediction of retention times for anions in ion chromatography using artificial neural networks
7. Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks
8. High-performance liquid chromatographic determination of deoxycytidine monophosphate and methyldeoxycytidine monophosphate for DNA demethylation monitoring: Experimental design and artificial neural networks optimisation
9. Eigenstructure tracking analysis for assessment of peak purity in highperformance liquid chromatography with diode a detection
10. Application of several modified peak purity assays to real multicomponent mixtures by high-performance liquid chromatography with diode-a detection
11. Resolution of multicomponent peaks by orthogonal projection approach, positive matrix factorization and alternating least squares
12. Purity assessment and resolution of tetracycline hydrochloride samples analysed using high-performance liquid chromatography with diode array detection
13. Resolution of overlapping peaks in HPLC with diode array detection by application of partial least squares calibration to cross-sections of spectrochromatograms
14. Multicomponent analysis of highly overlapped HPLC peaks using multiwavelength diode-array detection
15. Separation of enantiomers: Needs, challenges, perspectives
16. Rapid development of enantiomeric separation of beta-blockers by capillary electrophoresis using an experimental design approach
17. Chiral separations in capillary electrophoresis
18. Enantioseparations in capillary electromigration techniques: Recent developments and future trends
19. Chiral separations using the macrocyclic antibiotics: A review
20. Standardization of capillary zone electropherograms obtained by using field enhanced sample stacking
21. How to increase precision in capillary electrophoresis
22. New method for standardization of electropherograms obtained in capillary zone electrophoresis
23. Internal standardization technique for capillary zone electrophoresis
24. Some variables affecting reproducibility in capillary electrophoresis
25. An inter-company cross-validation exercise on capillary electrophoresis testing of dose uniformity of paracetamol content in formulations
26. Inter-company cross-validation exercise on capillary electrophoresis - Quantitative-determination of drug counterion level
27. On the equations describing chromatographic peaks and the problem of the deconvolution of overlapped peaks
28. Neural networks - A new method for solving chemical problems of just a passing phase
29. Neural networks in chemistry
30. Thermodynamics of chiral selectivity in capillary electrophoresis: Separation of ibuprofen enantiomers with beta-cyclodextrin
31. Evaluation of equilibria with use of artificial neural networks (ANN). II. ANN and experimental design as a tool in electrochemical data evaluation for fully dynamic (labile) metal complexes