Activities per year
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.
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.
| Original language | English |
|---|---|
| Title of host publication | UK Success Stories in Industrial Mathematics |
| Editors | P Aston, A Mullholland, K Tant |
| Publisher | Springer |
| Pages | 1228-1234 |
| Number of pages | 7 |
| ISBN (Electronic) | 978-3-319-25454-8 |
| ISBN (Print) | 978-3-319-25452-4 |
| Publication status | Published - Jan 2016 |
Activities
- 1 Invited talk
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Automated scoring of crystallisation experiments using multiple images
Wilson, J. C. (Invited speaker)
2 Jul 2016 → 7 Jul 2016Activity: Talk or presentation › Invited talk