Determination of total protein and sugar content in soy-based beverages using variable selection methods applied to ATR-FTIR spectroscopy

This study explores the potential of using ATR-FTIR coupled with partial least squares (PLS) and random forest (RF) for predicting total protein (TP), total sugar (TS), reducing sugars (RS), and non-reducing sugars (NRS) in soy-based beverages (SBBs). Employing variable selection techniques such as...

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Veröffentlicht in:	Journal of food composition and analysis 2024-11, Vol.135, p.106639, Article 106639
Hauptverfasser:	de Paulo, Ellisson H., Rech, André M., Weiler, Fábio H., Nascimento, Márcia H.C., Filgueiras, Paulo R., Ferrão, Marco F.
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithms ATR-FTIR food composition PLS prediction protein content Random Forest Soy-based beverages spectroscopy sugar content sugars Variables selection
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