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Evaluation of mass spectrometric data using principal component analysis for determination of the effects of organic lakes on protein binder identification
Author(s) -
Hrdlickova Kuckova Stepanka,
Rambouskova Gabriela,
Hynek Radovan,
Cejnar Pavel,
Oltrogge Doris,
Fuchs Robert
Publication year - 2015
Publication title -
journal of mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 1076-5174
DOI - 10.1002/jms.3699
Subject(s) - chemistry , principal component analysis , mass spectrometry , matrix assisted laser desorption/ionization , chromatography , identification (biology) , software , toolbox , matrix (chemical analysis) , sample preparation , analytical chemistry (journal) , biological system , desorption , artificial intelligence , computer science , organic chemistry , botany , adsorption , biology , programming language
Matrix‐assisted laser desorption/ionisation–time of flight (MALDI‐TOF) mass spectrometry is commonly used for the identification of proteinaceous binders and their mixtures in artworks. The determination of protein binders is based on a comparison between the m/z values of tryptic peptides in the unknown sample and a reference one (egg, casein, animal glues etc.), but this method has greater potential to study changes due to ageing and the influence of organic/inorganic components on protein identification. However, it is necessary to then carry out statistical evaluation on the obtained data. Before now, it has been complicated to routinely convert the mass spectrometric data into a statistical programme, to extract and match the appropriate peaks. Only several ‘homemade’ computer programmes without user‐friendly interfaces are available for these purposes. In this paper, we would like to present our completely new, publically available, non‐commercial software, ms‐alone and multiMS‐toolbox, for principal component analyses of MALDI‐TOF MS data for R software, and their application to the study of the influence of heterogeneous matrices (organic lakes) for protein identification. Using this new software, we determined the main factors that influence the protein analyses of artificially aged model mixtures of organic lakes and fish glue, prepared according to historical recipes that were used for book illumination, using MALDI‐TOF peptide mass mapping. Copyright © 2015 John Wiley & Sons, Ltd.