Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials
Abstract Background Accuracy in determining food authenticity, possible contamination, content analysis, and even geographical origin is of considerable scientific and economic value. The aim of this study is to facilitate quantitative evaluation of protein content in the seeds of cereals (Triticum...
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Main Authors: | Cosimo Ricci, Agata Gadaleta, Annamaria Gerardino, Angelo Didonna, Giuseppe Ferrara, Francesca Romana Bertani |
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Format: | Article |
Language: | English |
Published: |
CABI
2024-04-01
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Series: | CABI Agriculture and Bioscience |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43170-024-00244-z |
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