Accuracy in determining food authenticity, possible contamination, content analysis, and even geo- graphical 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 turgidum var. durum and Tritordeum genotypes) and rip- ening pomegranate fruits (Wonderful cultivar).
Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials
Ricci C.Primo
Writing – Original Draft Preparation
;Gerardino A.Writing – Review & Editing
;Bertani F. R.Ultimo
Writing – Review & Editing
2024
Abstract
Accuracy in determining food authenticity, possible contamination, content analysis, and even geo- graphical 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 turgidum var. durum and Tritordeum genotypes) and rip- ening pomegranate fruits (Wonderful cultivar).File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
s43170-024-00244-z Ferrara.pdf
accesso aperto
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
1.55 MB
Formato
Adobe PDF
|
1.55 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
