Open AccessClassification of lactate dehydrogenase of different origin by liquid chromatography-mass spectrometry and multivariate analysis
Author(s) -
Dan Bylund,
Jenny Samskog,
Karin E. Markides,
Sven P. Jacobsson
Publication year - 2003
Publication title -
journal of the american society for mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.961
H-Index - 127
eISSN - 1879-1123
pISSN - 1044-0305
DOI - 10.1016/s1044-0305(02)00906-6
Subject(s) - chemistry , chromatography , mass spectrometry , partial least squares regression , multivariate statistics , principal component analysis , linear discriminant analysis , multivariate analysis , lactate dehydrogenase , peptide , chemometrics , quantitative analysis (chemistry) , liquid chromatography–mass spectrometry , biochemistry , enzyme , artificial intelligence , statistics , computer science , mathematics
A method intended to serve as a multivariate quality control tool in the production of pharmaceutical proteins is presented. The method is based on multivariate analysis of peptide maps generated with liquid chromatography-mass spectrometry (LC-MS). Lactate dehydrogenase (LDH) from different species and tissues were used as model compounds in the study. The proteins were digested with Endoproteinase Lys-C before the LC-MS analysis. After data pretreatment of the peptide maps, successful classification of the LDHs were obtained by discriminant analysis with partial least squares regression and artificial neural networks. Further, principal component analysis was applied to visualize the relationships between the samples.