01849naa a2200325 a 450000100080000000500110000800800410001902200140006002400560007410000180013024501860014826000090033452008040034365000220114765000250116965000300119465000360122465000100126065000210127065000260129165000310131765000240134865300240137265300140139665300190141070000190142970000170144870000160146577300420148121379612024-07-23       2022    bl uuuu     u00u1 u    #d  a0308-81467 ahttps://doi.org/10.1016/j.foodchem.2021.1310632DOI1 aROBERT, J. V.  aDirect solid sample analysis using synchronous fluorescence spectroscopy coupled with chemometric tools for the geographical discrimination of coffee samples.h[electronic resource]  c2022  aThis work aims the study chemometric methods for the classification of the origin of coffee samples. Samples of finely pulverized coffee grains were analyzed by synchronous molecular fluorescence spectroscopy to carry out the classification. The spectral data of the samples were obtained in triplicate in two offsets: 10 nm (with emission wavelengths from 240 nm to 600 nm) and 40 nm (from 240 nm to 560 nm), all with 1 nm resolution. Different strategies were performed using the spectra obtained with the offsets of 10 nm and 40 nm and fused data at mid-level (10 nm + 40 nm). The performances of linear and nonlinear methods were compared, the best results were obtained from the raw data from the fusion at low-level of the 10 nm and 40 nm offset spectra with the Pareto optimization criterion.  aChemical analysis  aChemical composition  aGeographical distribution  aX-ray fluorescence spectroscopy  aCafé  aCoffea Canephora  aComposição Química  aDistribuição Geográfica  aMétodo de Análise  aAmazônia Ocidental  aRondônia  aWestern Amazon1 aGOIS, J. S. de1 aROCHA, R. B.1 aLUNA, A. S.  tFood Chemistrygv. 371, 131063, 2022.