Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning.

Calle JLP, Ferreiro-González M, Palma M

DOI: 10.1002/jsfa.70781
Published: 2026 Sep
Container: Journal of the science of food and agriculture
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/jsfa.70781,
  title = {Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning.},
  author = {Calle JLP and Ferreiro-González M and Palma M},
  year = {2026},
  journal = {Journal of the science of food and agriculture},
  doi = {10.1002/jsfa.70781},
  url = {https://doi.org/10.1002/jsfa.70781}
}

RIS

TY  - JOUR
TI  - Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning.
AU  - Calle JLP
AU  - Ferreiro-González M
AU  - Palma M
PY  - 2026
JO  - Journal of the science of food and agriculture
DO  - 10.1002/jsfa.70781
UR  - https://doi.org/10.1002/jsfa.70781
ER  -

APA

JLP, C., M, F., & M, P. (2026). Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning.. Journal of the science of food and agriculture. https://doi.org/10.1002/jsfa.70781

Source records

pubmed · retrieved 2026-09-26T04:33:54.449Z