Food authenticity is a challenging analytical problem normally addressed using sophisticated laboratory methods which produce large data sets. Multivariate mathematical methods are required to process such data sets typically to answer a question such as "Is sample X, which claims to be of type A, compatible with type A samples on the basis of...
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2012 (v1)PublicationUploaded on: March 27, 2023
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2011 (v1)Publication
Following the introduction of legal identifiers of geographic origin within Europe, methods for confirming any such claims are required. Spectroscopic techniques provide a method for rapid and non-destructive data collection and a variety of chemometric approaches have been deployed for their interrogation. In this present study,...
Uploaded on: March 31, 2023 -
2013 (v1)Publication
Food PDO verification is a food authenticity issue. It is a challenging analytical problem normally tackled using complex laboratory techniques which produce large or very large data sets. Multivariate mathematical methods are required to process such data sets. A typical question which arises in these applications is "Is sample X, which claims...
Uploaded on: March 27, 2023 -
October 6, 2022 (v1)Publication
The potential of visible-near-infrared spectroscopy to determine selected individual and total glucosinolates in broccoli has been evaluated. Modified partial least-squares regression was used to develop quantitative models to predict glucosinolate contents. Both the whole spectrum and different spectral regions were separately evaluated to...
Uploaded on: March 24, 2023 -
October 6, 2022 (v1)Publication
The use of hyperspectral imaging to (a) quantify and (b) localise total glucosinolates in florets of a single broccoli species has been examined. Two different spectral regions (vis-NIR and NIR), a number of spectral pre-treatments and different mask development strategies were studied to develop the quantitative models. These models were then...
Uploaded on: December 4, 2022