Pérez-Marín, D;
Fearn, T;
(2024)
Non-destructive/Non-invasive Method Development, Evaluation, and Transfer.
In:
Non-invasive and Non-destructive Methods for Food Integrity.
(pp. 17-38).
Springer, Cham
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Abstract
This chapter attempts to give an overview of the main aspects to be taken into account for spectral data processing using chemometrics, considering the development and validation of calibrations and qualitative predictive models, considerations on signal pretreatments, possibilities for instrument standardization and model transfer, together with the final performance of predictive models for routine use. The main focus will be on NIR spectroscopy. However, the general principles discussed in the chapter are transferable to other non-invasive methodologies that produce multivariate raw measurements. The authors wish to emphasize those aspects that, in their experience, are critical in the development of applications using data from nondestructive spectral sensors.
| Type: | Book chapter |
|---|---|
| Title: | Non-destructive/Non-invasive Method Development, Evaluation, and Transfer |
| ISBN-13: | 9783031764646 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-031-76465-3_2 |
| Publisher version: | https://doi.org/10.1007/978-3-031-76465-3_2 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | multivariate analysis, chemometrics for spectral data, calibrations, qualitative models, signal pretretaments, derivatives, scatter correction, , instrument cloning |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10216216 |
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