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Chemometric Methods for Improved Food Safety and Traceability

In: UK Success Stories in Industrial Mathematics

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  • Julie Wilson

    (The University of York)

Abstract

Recent food crises such as the horsemeat scandal show the importance of being able to identify and trace the origins of our food. Analytical chemistry provides methods to monitor food and nuclear magnetic resonance (NMR) spectroscopy in particular has become an essential tool. NMR is a highly reproducible technique making it ideal for the analysis of complex mixtures in which consistent patterns must be recognised. However, advances in technology and increased computer power now result in extremely large data sets requiring mathematical and statistical methods for analysis and interpretation, resulting in the field of chemical informatics known as chemometrics. In contrast to targeted analyses, chemometric approaches do not initially attempt to identify particular compounds, but use statistical pattern recognition techniques to identify spectral features showing consistent trends or discrimination between classes. The methods described in this chapter are now routinely used by the Chemical and Biochemical Profiling section of the Food and Environment Research Agency (Fera) in a wide range of applications including the determination of disease-related biomarkers, contaminant detection, food traceability and the development of drought and disease resistant crop varieties.

Suggested Citation

  • Julie Wilson, 2016. "Chemometric Methods for Improved Food Safety and Traceability," Springer Books, in: Philip J. Aston & Anthony J. Mulholland & Katherine M.M. Tant (ed.), UK Success Stories in Industrial Mathematics, edition 1, pages 211-218, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-25454-8_27
    DOI: 10.1007/978-3-319-25454-8_27
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