Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches.
- DOI
- 10.1016/j.crfs.2025.100986
- Published
- 2025
- Container
- Current research in food science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.crfs.2025.100986,
title = {Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches.},
author = {El Harkaoui S and Ortiz Cruz C and Roggenland A and Schneider M and Rohn S and Drusch S and Matthäus B},
year = {2025},
journal = {Current research in food science},
doi = {10.1016/j.crfs.2025.100986},
url = {https://doi.org/10.1016/j.crfs.2025.100986}
}RIS
TY - JOUR TI - Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches. AU - El Harkaoui S AU - Ortiz Cruz C AU - Roggenland A AU - Schneider M AU - Rohn S AU - Drusch S AU - Matthäus B PY - 2025 JO - Current research in food science DO - 10.1016/j.crfs.2025.100986 UR - https://doi.org/10.1016/j.crfs.2025.100986 ER -
APA
S, E. H., C, O. C., A, R., M, S., S, R., S, D., & B, M. (2025). Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches.. Current research in food science. https://doi.org/10.1016/j.crfs.2025.100986
Source records
- pubmed · retrieved 2026-09-27T10:47:16.794Z