Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials

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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Bibliographic Details
Main Authors: Cosimo Ricci, Agata Gadaleta, Annamaria Gerardino, Angelo Didonna, Giuseppe Ferrara, Francesca Romana Bertani
Format: Article
Language:English
Published: BMC 2024-04-01
Series:CABI Agriculture and Bioscience
Subjects:
Portable spectroscopy
NIR spectroscopy
Chemometrics
Wheat
Pomegranate
Online Access:https://doi.org/10.1186/s43170-024-00244-z

Internet

https://doi.org/10.1186/s43170-024-00244-z

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