TY  - GEN 
AU  - Pérez Calle, José Luis
AU  - Ferreiro González, Marta
AU  - Ruiz Rodríguez, Ana
AU  - Fernández, Daniel
AU  - Palma Lovillo, Miguel
A4  - Química Analítica
PY  - 2022
SN  - 2073-4395
UR  - http://hdl.handle.net/10498/26804
AB  - 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...
LA  - eng
PB  - MDPI
KW  - FT-IR
KW  - fruit juices
KW  - food control
KW  - machine learning
KW  - spectroscopy
KW  - regression
KW  - authentication
KW  - classification
TI  - Detection of Adulterations in Fruit Juices Using Machine Learning Methods over FT-IR Spectroscopic Data
DO  - 10.3390/agronomy12030683
ER  -