Portable electrochemical sensing coupled with machine learning for rapid Arabica and Robusta coffee authentication and blend ratio prediction
- DOI
- 10.1016/j.fochx.2026.104523
- Published
- 2026-10
- Container
- Food Chemistry: X
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.fochx.2026.104523,
title = {Portable electrochemical sensing coupled with machine learning for rapid Arabica and Robusta coffee authentication and blend ratio prediction},
author = {Bing-Chen Gu and Kuan-Jung Chung and Zhen-Wei Hong and Ning-Hsieh Yang and Chia-Che Wu},
year = {2026},
journal = {Food Chemistry: X},
doi = {10.1016/j.fochx.2026.104523},
url = {https://doi.org/10.1016/j.fochx.2026.104523}
}RIS
TY - JOUR TI - Portable electrochemical sensing coupled with machine learning for rapid Arabica and Robusta coffee authentication and blend ratio prediction AU - Bing-Chen Gu AU - Kuan-Jung Chung AU - Zhen-Wei Hong AU - Ning-Hsieh Yang AU - Chia-Che Wu PY - 2026 JO - Food Chemistry: X DO - 10.1016/j.fochx.2026.104523 UR - https://doi.org/10.1016/j.fochx.2026.104523 ER -
APA
Gu, B., Chung, K., Hong, Z., Yang, N., & Wu, C. (2026). Portable electrochemical sensing coupled with machine learning for rapid Arabica and Robusta coffee authentication and blend ratio prediction. Food Chemistry: X. https://doi.org/10.1016/j.fochx.2026.104523
Source records
- crossref · retrieved 2026-11-03T23:15:10.546Z