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Revision as of 03:25, 3 January 2009
![]() | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (October 2008) |
Chemometrics is the application of mathematical or statistical methods to chemical data. The International Chemometrics Society (ICS) offers the following definition:
Chemometrics is the science of relating measurements made on a chemical system or process to the state of the system via application of mathematical or statistical methods.
Chemometric research spans a wide area of different methods which can be applied in chemistry. There are techniques for collecting good data (optimization of experimental parameters, design of experiments, calibration, signal processing) and for getting information from these data (statistics, pattern recognition, modeling, structure-property-relationship estimations).
Chemometrics tries to build a bridge between the methods and their application in chemistry.
Applications
In spectroscopy, the applications of chemometrics is most often in calibration. Calibration is achieved by using the spectra as multivariate descriptors to predict concentrations of constituents of interest using statistical approaches such as Multiple Linear Regression, Principal components analysis and Partial Least Squares. Other popular chemometry techniques include approaches for ab initio prediction of number of components, noise reduction and multivariate curve resolution.
See also
References
- R. Kramer, Chemometric Techniques for Quantitative Analysis, (1998) Marcel-Dekker, ISBN: 0-8247-0198-4.
- D.L. Massart, B. Vandeginste, L. Buydens, S. De Jong, P. Lewi and J. Smeyers-Verbeke, Handbook of Chemometrics and Qualimetrics, Vol 20 A, (1997), Elsevier, ISBN: 0-444-89724-0; Vol 20 B, (1998), Elsevier, ISBN: 0-444-82853-2
- R. G. Brereton, Chemometrics: Data Analysis for the Laboratory and Chemical Plant, (2003) Wiley, ISBN: 978-0-471-48978-8.