A non-invasive, sensor-based approach to exploit the autofluorescence of saffron (Crocus sativus L.) for on-site evaluation of aging
Author:
Funder
European Commission
Publisher
Elsevier BV
Reference38 articles.
1. Spectroscopic and molecular docking investigation on the noncovalent interaction of lysozyme with saffron constituent “safranal.”;Ali;ACS Omega,2020
2. Detection and classification of saffron adulterants by Vis-Nir imaging, chemical analysis, and soft computing;Alighaleh;Foods,2023
3. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy;Bellon-Maurel;TrAC, Trends in Analytical Chemistry,2010
4. Optical detection of aflatoxins B in grained almonds using fluorescence spectroscopy and machine learning algorithms;Bertani;Food Control,2020
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