Exploring deep learning potential to authenticate vegetable oils and detect fraud using a micro-spectroscopic technique and chemometrics.
- DOI
- 10.1039/d6ay00555a
- Published
- 2026-08-20
- Container
- Anal Methods
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1039/d6ay00555a,
title = {Exploring deep learning potential to authenticate vegetable oils and detect fraud using a micro-spectroscopic technique and chemometrics.},
author = {Yeboah JO and MacArthur RL and Lamptey FP and Opoku-Ansah J and Yeboah Amuah CL and Agbemafle R and Agbale CM and Teye E.},
year = {2026},
journal = {Anal Methods},
doi = {10.1039/d6ay00555a},
url = {https://doi.org/10.1039/d6ay00555a}
}RIS
TY - JOUR TI - Exploring deep learning potential to authenticate vegetable oils and detect fraud using a micro-spectroscopic technique and chemometrics. AU - Yeboah JO AU - MacArthur RL AU - Lamptey FP AU - Opoku-Ansah J AU - Yeboah Amuah CL AU - Agbemafle R AU - Agbale CM AU - Teye E. PY - 2026 JO - Anal Methods DO - 10.1039/d6ay00555a UR - https://doi.org/10.1039/d6ay00555a ER -
APA
JO, Y., RL, M., FP, L., J, O., CL, Y. A., R, A., CM, A., & E., T. (2026). Exploring deep learning potential to authenticate vegetable oils and detect fraud using a micro-spectroscopic technique and chemometrics.. Anal Methods. https://doi.org/10.1039/d6ay00555a
Source records
- europe-pmc · retrieved 2026-09-25T02:38:42.362Z