Non-targeted high-performance liquid chromatography with ultraviolet and fluorescence detection fingerprinting for the classification, authentication, and fraud quantitation of instant coffee and chicory by multivariate chemometric methods

Non-targeted strategies based on high-performance liquid chromatography with ultraviolet detection (HPLC-UV) and fluorescence (HPLC-FLD) fingerprints were evaluated to accomplish the classification authentication of instant coffee (40 samples), decaf (26 chicory (22 samples, including both ground instant), as well detect quantify frauds adulteration by multivariate chemometric methods. HPLC-UV HPLC-FLD simultaneously obtained a HPLC-UV-FLD instrument, they proved be excellent chemical descriptors for against samples partial least squares regression-discriminant analysis (PLS-DA). In contrast, improved results when addressing (94.4% rate in comparison 83.3% fingerprints). Besides, proposed methodologies resulted fraud levels adulterated using (PLS) regression, exhibiting good calibration linearities, errors, prediction errors. this case, capabilities observed fingerprints, providing better PLS linearities (R2 > 0.999), lower errors (?0.8%), similar (2.9–3.2%) fingerprints.