Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data

  1. Calle, J.L.P.
  2. Barea-Sepúlveda, M.
  3. Ruiz-Rodríguez, A.
  4. Álvarez, J.Á.
  5. Ferreiro-González, M.
  6. Palma, M.
Aldizkaria:
Sensors

ISSN: 1424-8220

Argitalpen urtea: 2022

Alea: 22

Zenbakia: 10

Mota: Artikulua

DOI: 10.3390/S22103852 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus