Portable electrochemical sensing coupled with machine learning for rapid Arabica and Robusta coffee authentication and blend ratio prediction. (PubMed, Food Chem ) - Oct 7, 2026 - "Electrochemical measurements targeting caffeine, chlorogenic acids, trigonelline, and reducing sugars were performed and the roast level was incorporated as an additional analytical feature...External validation using literature-reported compositional datasets provided complementary support of species identification. Compared with conventional analytical methods, the proposed electrochemical-ML framework requires only a small aliquot of coffee extract, and the electrochemical measurement can be completed within 3 min after sample preparation."
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Bing-Chen Gu; Chia-Che Wu; Kuan-Jung Chung; Ning-Hsieh Yang; Zhen-Wei Hong
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