01271naa a2200205 a 450000100080000000500110000800800410001902400390006010000190009924501030011826000090022152006840023065300060091470000160092070000140093670000160095070000180096670000240098477300570100821107672021-03-10       2019    bl uuuu     u00u1 u    #d7 a10.1080/00387010.2019.16225672DOI1 aLIMA, G. G. de  aPrediction of yerba mate caffeine content using near infrared spectroscopy.h[electronic resource]  c2019  aThere is a commercial and beneficial interest of producing yerba mate leaves into different grades of caffeine. This work uses a handheld and bench near-infrared (NIR) spectroscopy to compare and predict, using partial least squares (PLS) regression, the amount of caffeine in yerba mate leaves. Standards of pure caffeine were compared, using high-performance liquid chromatography (HPLC), with extracts of yerba mate. The bench spectroscopy gave a strong confidence model of caffeine prediction, whereas the handheld related to a fair model. For first detection and initial separation of yerba mate in the field, the modeling proposed can be used to predict caffeine intensity.  ax1 aRUIZ, H. Z.1 aMATOS, M.1 aHELM, C. V.1 aLIZ, M. V. de1 aMAGALHAES, W. L. E.  tSpectroscopy Lettersgv. 52, n. 5, p. 282-287, 2019.