Article Versions Notes

Calle JLP, Barea-Sepúlveda M, Ruiz-Rodríguez A, Álvarez JÁ, Ferreiro-González M, Palma M. Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data. Sensors. 2022; 22(10):3852. https://doi.org/10.3390/s22103852

Calle, José Luis P., Marta Barea-Sepúlveda, Ana Ruiz-Rodríguez, José Ángel Álvarez, Marta Ferreiro-González, and Miguel Palma. 2022. "Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data" Sensors 22, no. 10: 3852. https://doi.org/10.3390/s22103852

Calle, J. L. P., Barea-Sepúlveda, M., Ruiz-Rodríguez, A., Álvarez, J. Á., Ferreiro-González, M., & Palma, M. (2022). Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data. Sensors, 22(10), 3852. https://doi.org/10.3390/s22103852