The Working Group Chemometrics & Quality Assurance was founded in 1991 under the name chemometrics & Laboratory Data Processing working group by merging the chemometrics Working Group of the Chemical Society of the GDR and the GDCh Laboratory Automation and Data Processing Working Group. In line with the focus of these two groups, the working group of the GDCh Division of Analytical Chemistry aims to combine the acquisition of data in the laboratory with its statistical evaluation, plausibility checks and corresponding quality assurance as good analytical practice. Therefore, it is particularly aimed at analysts who acquire a lot of data in the laboratory in stationary analysis and in dynamic processes and who also process it further. The working group is also interested in the application of uni- and multivariate methods of data analysis, methods for classification and pattern recognition, and the Management of "big data" and its integration into the analytical process.
The working group is present at national and international Conferences or takes the lead in organizing them. The working group also successfully participates in the analytica conference. Last but not least, aspects of the working group are regularly reflected in presentations at ANAKON . Due to the constantly increasing number and complexity of chemometrics methods, the working group has set itself the goal of developing guidelines for the practical use of chemometric methods.
The working group
Shortlink to this page: www.gdch.de/chemometrik
The GDCh, the Euro- chemometrics CS network and the knowledge transfer of the University of Tübingen (WIT), the House of Technology in Essen and other organizers (especially Friedrich Schiller University Jena, Bergakademie TU Freiberg) continue to address these questions - and further education courses or lectures are offered.
Dr. Claudia Beleites (Chair), Chemometrix GmbH, Wölfersheim
Prof. Dr. Stephan Seifert (Deputy Chair), University of Hamburg
Joscha Christmann (writing), Mannheim University of Applied Sciences
Dr. Andrea Paul (advisor), Federal Institute for Materials Research and Testing, Berlin
Permanent guest of the board
Marcel Dahms, LightGuard GmbH, Dresden
Contact the Board: ak-chemometrik@go.gdch.de
(with subjective assessment of the content by W. Kessler)
K. Backhaus, B. Erichson et al.: Multivariate Analysis Methods - An Application-Oriented Introduction
(quite descriptive but geared towards economics, originally from 1987, but republished in 2008, still without PLS, but including cluster analysis, discriminant analysis and neural networks)
K. Beebe, R. Pell, M. Seasholtz: Chemometrics – A Practical Guide
(very clear, without much mathematics, with many examples)
R. Brereton: Chemometrics, Data Analysis for the Laboratory and Chemical Plant
(detailed, well explained, complete mathematics, examples mainly from chemistry)
K. Danzer, H. Hobert et al.: chemometrics- Fundamentals and Applications
(Comprehensive overview also of univariate statistics, but only briefly explained, mathematically)
Foo-tim Chau, Yi-zeng Liang et al: Chemometrics – From Basics to Wavelet Transform
(Good overview of the different preprocessing algorithms)
B. Flury, H. Riedwyl: Applied multivariate statistics
(quite descriptive, but dates back to 1983)
R. Henrion, G. Henrion: Multivariate data analysis
(important algorithms are explained, but quite a lot of mathematics)
H. Hobert: Computer-assisted evaluation of physical-chemical measurements
(quite a lot of math)
IT Jolliffe: Principal Component Analysis
(very detailed, but very mathematical)
W. Kessler: Multivariate data analysis for pharmaceutical, bio- and process analytics
(intended as a textbook, goes into detail about the most important procedures, CD with software for multivariate data analysis with practice examples included)
E. Malinowski: Factor Analysis in Chemistry
(very detailed, mathematically complete, especially for chemists, 3rd edition 2002)
H. Martens, T. Naes: Multivariate Calibration
(very detailed with complete mathematics, but still understandable)
H. Martens, M. Martens: Multivariate Analysis of Quality – An Introduction
(very detailed as above, with the aim of improving quality)
M. Otto: chemometrics
(good overview, the individual procedures are very brief)
B. Vandeginste, D. Massart et al.: Handbook of Chemometrics and Qualimetrics: Part A and B
(the bible of chemometricians, very expensive, detailed, understandable, very good)
Brown et al., Comprehensive Chemometrics, Elsevier
A description of the book can be found at the following link: https://shop.elsevier.com/books/comprehensive-chemometrics/brown/978-0-444-64165-6
March 24-26, 2026
Int. Congress Center
Munich (ICM)
... with multi-variable methods and support vector machines
Video tutorials
GDCh Office
Dr. Carina S. Kniep
Phone: +49 69 7917-499
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last modified: 23.07.2025 17:29 H from Translator