"Rapid Detection and Quantification of Adulterants in Fruit Juices Using ..."

José Luis P. Calle et al. (2022)

> Home

Details and statistics

DOI: 10.3390/S22103852

access: open

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/CalleBRAFP22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/CalleBRAFP22
José Luis P. Calle, Marta Barea-Sepúlveda, Ana Ruiz-Rodríguez, José Ángel Álvarez, Marta Ferreiro-González, Miguel Palma:
Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data. Sensors 22(10): 3852 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.