2026-04-19T11:35:12Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1740392025-12-04T19:37:18Zcom_2072_1057col_2072_478813col_2072_478917

00925njm 22002777a 4500 dc Núñez, Nerea author Saurina, Javier author Núñez Burcio, Oscar author 2021-02-18T09:35:52Z 2022-01-22T06:10:20Z 2021-01-22 2021-02-18T09:35:52Z Coffee is today one of the most popular beverages in the world and the determination of its authenticity is an important issue considering the increase of adulteration cases in the last years. In this work, a simple and efficient non-targeted HPLC-FLD fingerprinting method was employed to detect and quantify adulteration levels in coffee samples by partial least squares (PLS) regression to guarantee food integrity and authenticity. For that purpose, different adulteration cases, involving both coffee production region and variety, were evaluated by pairs (Colombia-Ethiopia, Colombia-Nicaragua, India-Indonesia, Vietnam Arabica-Vietnam Robusta, Vietnam Arabica-Cambodia, and Vietnam Robusta-Cambodia adulteration cases). Overall, the proposed non-targeted HPLC-FLD fingerprinting strategy showed very good results with PLS cross-validation and prediction errors below 3.4% and 7.5%, respectively, for adulteration levels below 15%. Therefore, non-targeted HPLC-FLD fingerprints demonstrated to be suitable to assess coffee integrity and authenticity in the control and prevention of frauds. Quimiometria Qualitat dels aliments Cafè (Beguda) Seguretat alimentària Chemometrics Food quality Coffee drink Food security Non-targeted HPLC-FLD fingerprinting for the detection and quantitation of adulterated coffee samples by chemometrics