The use of principal component analysis for the modelling of high performance liquid chromatography

Bioprocess Engineering

Volumn 21, Issue 3, 1999, Pages 261-272

  Pate, M E ^a   Turner, M K ^a   Thornhill, N F ^a   Titchener Hooker, N J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DATA ANALYSIS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS CONTROL;

EID: 0032843435     PISSN: 0178515X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004490050674     Document Type: Article

References (25)

1. Wicke, E.: Kolloid Z, 86 (1939) 295
2. Bellot, J.C.; Condoret, J.S.: Liquid Chromatography Modelling: A review. Process Biochemistry 26 (1991) 363
3. Cowan, G.H.; Gosling, I.S.; Laws, J.F.; Sweetenham, W.P.: Physical and Mathematical Modelling to Aid Scale-up of Liquid Chromatography. Journal of Chromatography 363 (1986) 37
4. Guichon, G.; Golshan-Shirazi, S.; Katti, A.M.: The Fundamentals of Preparative and non-Linear Chromatography (1994). Academic Press, London, England
5. Felinger, A.; Guiochon, G.: Multicomponent Interferences in Overload Gradient Elution Chromatography. Journal of Chromatography A 724 (1996) 27
6. Fry, J.C.: Biological Data Analysis - A practical approach (1993), Oxford University Press
7. Heyer, M.J.; Scloerb, F.P.: Application of Principal Component Analysis to Large-Scale Spectral Line Imaging Studies of the Interstellar Medium. The Astrophysical Journal 475 (1997) 173
8. Wold, S.: Cross-Validatory Estimation of the Number of Components in Factor and Principal Component Analysis. Technometrics vol. 20 no. 4 (1978) 397
9. Nomikos, P.; Macgregor, J.: Multivariate SPC charts for monitoring batch processes. Technometrics vol. 37 no. 1 (1995) 41-59
10. Wise, B.M.; Gallagher, N.B.: The process chemometrics approach to process monitoring and fault detection. Journal of Process Control December (1996) 329-348
11. Meglen, R.: Examining large databases: a chemometric approach using principal component analysis. Journal of Chemometrics 5 (1991) 163-179
12. Jokinen, P.: Visualisation of multivariate processes using principal component analysis and nonlinear inverse modelling. Decision Support Systems 11 (1994) 53-65
13. Malmquist, G.; Danielsson, R.: Alignment of chromatographic profiles for principal component analysis: a prerequisite for fingerprinting methods. Journal of Chromatography A 687 (1994) 71-88
14. Saner, U.; Stephanopolous, G.: Application of pattern recognition techniques to fermentation data analysis. Modelling and control of Biotechnical Processes 1992 (2nd IFAC Symposium) 123-128
15. Kvalheim, O.M.; Liang, Y.: Heuristic Evolving Latent Projections: Resolving Two-way Multicomponent Data. 1. Selectivity, Latent-Projective Graph, Datascope, Local Rank and Unique Resolution. Analytical Chemistry 64 (1992) 936
16. Liang, Y.; Kvalheim, O.M.; Keller, H.R.; Massart, D.L.; Kiechle, P.; Erni, F.: Heuristic Evolving Latent Projections: Resolving Two-way Multicomponent Data. 2. Detection and Resolution of Minor Constituents. Analytical Chemistry 64 (1992) 946
17. Kvalheim, O.M.; Liang, Y.; Keller, H.R.; Massart, D.L.: Evolving Factor Analysis in the Presence of Heteroscedastic Noise. Analytica Chimica Acta 263 (1992) 29
18. Kvalheim, O.M.; Liang, Y.; Keller, H.R.; Massart, D.L.: A Comparison of the Heuristic Evolving Latent Projections and Evolving Factor Analysis Methods for Peak Purity Control in Liquid Chromatography with Photodiode array Detection. Analytica Chimica Acta 267 (1992) 63
19. Liang, Y.; Kvalheim, O.M.: Unique Resolution of Hidden Minor Peaks in Multidetection Chromatography by First-Order Differentiation and Orthogonal Projections. Analytica Chimica Acta 276 (1993) 425
20. Liang, Y.; Kvalheim, O.M.; Andersson, R.; Hamalainen, M.D.: Assessment of Peak Origin and Purity in one-dimensional Chromatography by Experimental Design and Heuristic Evolving Latent Projections. Journal of Chromatography A 662 (1994) 113
21. Liang, Y.; Kvalheim, O.M.: Unique Resolution of Hidden Minor Peaks in Multidetection Chromatography by First-order Differentiation and Orthogonal Projections. Analytica Chimica Acta 276 (1993) 425
22. Chandwani, R.M.; Pate, M.E.; Savery, J.; Thornhill, N.F.; Horstmann, B.; Hoare, M.; Titchener-Hooker, N.J.: The use of Principal Component Analysis as a Database Mining Tool for the Exploratory Diagnosis of Chromatographic Processes. Bioprocess Engineering vol. 7 no. 4 (1997) 229
23. Pate, M.E.; Thornhill, N.F.; Hoare, M.; Titchener-Hooker, N.J.: Pre-processing of Chromatographic Data for Principal Component Analysis. Bioprocess Engineering. In Press
24. Paesen, J.; Calam, D.H.; McMiller, J.H.; Ralola, G.; Rozanski, A.; Silver, B.; Hoogmartens, J.: Journal of Liquid Chromatography 18 (1993) 1529
25. Andersson, R.; Hamalainen, M.D.: Simplex focusing of retention times and latent variable projections of chromatographic profiles. Chemometrics and Intelligent Laboratory Systems vol. 22, no. 1 (1994) 49-61