Identifying Food Fraud (FutureLearn)
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Oct 5th 2020
Kate Kemsley
The arrival of ‘omics technologies in recent years has opened up new opportunities for the chemometrics specialist. My interests have expanded to include the application of multivariate statistics to many more high-dimensional data types. These include a wide range of spectral data types, especially those used in connection with metabolomics (NMR, GC-, LC-MS) and electrophoresis image data.
I also have a long-standing interest in electromyography and the processing of digital waveforms. Most recently, my research has concentrated on treatments of data collected using low-field NMR spectroscopy.
My PhD and early career was in applied molecular spectroscopy (infrared, Raman) and the design of novel sensors, including a patented probe head for infrared sensing using attenuated total reflectance. Subsequently I focussed on quantitation using spectral data, and the emerging discipline of chemometrics – a branch of statistics particularly useful for handling the large datasets produced by modern analytical techniques.
Applications of these methods have included several important food authentication issues – detection of adulteration in edible oils; processed fruits; meat products; coffee.
I am either author or co-author on around 80 peer-reviewed articles, as well as numerous conference proceedings, posters, book chapters and a textbook. I'm a Senior Lecturer (Hon.) in the School of Chemistry at the University of East Anglia.
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