DOI 10.3390/agronomy12030683 KEYWORDS FT-IR; fruit juices; food control; machine learning; spectroscopy; regression; authentication; classification ABSTRACT Fruit juices are one of the most adulterated beverages, usually because of the addition of water, sugars, or less expensive fruit juices. This study presents a method based on Fourier transform infrared spectroscopy (FT-IR), in combination with machine learning methods, for the correct identification and quantification of […]
Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data | entrada | mayo 13, 2022 | DOI 10.3390/agronomy12030683 KEYWORDS FT-IR; fruit juices; food control; machine learning; spectroscopy; regression; authentication; classification ABSTRACT Fruit juices are one of the most adulterated beverages, usually because of... |