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Multivariate quality assessment of aged RP‐HPLC columns
Author(s) -
Bolck Annabel,
Smilde Age K.,
Duineveld Kees A. A.,
Coenegracht Pierre M. J.
Publication year - 1996
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199609)10:5/6<351::aid-cem438>3.0.co;2-n
Subject(s) - univariate , statistic , principal component analysis , multivariate statistics , statistics , control limits , retention time , chemometrics , multivariate analysis , chromatography , mathematics , categorization , control chart , chemistry , computer science , artificial intelligence , process (computing) , operating system
The inner structure of RP‐HPLC columns can change (‘age’) during routine use. The columns may be monitored to check the magnitude and type of the changes. One approach is to investigate, besides the chromatograms, the retention behaviour of a few selected solutes at different mobile phases (markers) during routine use. A distinction can be made between a general shift in retention and changes in selectivity. The changes in retention of selected solutes on aged columns in comparison with fresh columns are collected in one multivariate statistic, Hotelling's T 2 ‐statistic, instead of separate univariate statistics. The T 2 ‐values are denoted on a control chart to visualize the changes in retention and to compare them with a control limit. Changes of T 2 ‐values above this limit cannot be considered negligible. An alternative approach is to select underlying variables or principal components of a larger set of solutes. These underlying variables can be treated just like the selected original variables. Examples are given of control charts for artificially aged columns. The results corroborate a global categorization made of the artificially aged columns based on the retention times of a large number of solutes at different mobile phases. © 1996 by John Wiley & Sons Ltd.