TY  - GEN 
AU  - Punta Sánchez, Irene
AU  - Dymerski, Tomasz
AU  - Pérez Calle, José Luis
AU  - Ruiz Rodríguez, Ana
AU  - Ferreiro González, Marta
AU  - Palma Lovillo, Miguel
A4  - Química Analítica
PY  - 2024
SN  - 1424-8220
UR  - http://hdl.handle.net/10498/36036
AB  - This article introduces a novel approach to detecting honey adulteration by combining ultra-fast gas chromatography (UF-GC) with advanced machine learning techniques. Machine learning models, particularly support vector regression (SVR) and least...
LA  - eng
PB  - Multidisciplinary Digital Publishing Institute (MDPI)
KW  - adulteration
KW  - classification
KW  - food control
KW  - honey
KW  - machine learning
KW  - regression
KW  - ultra-fast gas chromatography
KW  - volatile compounds
TI  - Detecting Honey Adulteration: Advanced Approach Using UF-GC Coupled with Machine Learning
DO  - 10.3390/S24237481
ER  -