Comparison of the performances of handheld and benchtop near infrared spectrometers: Application on the quantification of chemical components in maritime pine (Pinus Pinaster) resin

The aim of this study was to set up a chemometric procedure using near infrared spectra acquired with low-cost handheld spectrometer (SCiO), quantify the main chemical components maritime pine (Pinus pinaster) resin, in view SCiO as quality control tool for tapping industry. This carried out on samples resin harvested during summer 2018, Biscarosse, France. Spectral data were collected both an SCiO, and benchtop (MultiPurpose Analyzer I) baseline reference . rates turpentine rosin quantified by gas chromatography (turpentine composition), liquid (rosin ventilated oven involved preprocessing relevant subset selection DUPLEX algorithm. Lastly, Partial Least Squares (PLS) regression used calibrate models. quantitative predictive ability resulting PLS models evaluated via Ratio standard error Performance Deviation (RPD) statistics. results show that enhanced ability. For MPA I, RPD > 3.5, which expresses some very good excellent predictions 2.5, purposes. Thus, statistics confirm could be tool.