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  1. 1

    Comparison of Methods for Estimating Mechanical Properties of Wood by NIR Spectroscopy by L. R. Schimleck, J. L. M. Matos, R. Trianoski, J. G. Prata

    Published 2018-01-01
    “…The calibrations obtained for density (R2 = 0.81, SECV = 38.5 kg/m3) and MOE (R2 = 0.81, SECV = 1124 GPa) using benchtop instrument spectra demonstrate that it is possible to obtain general calibrations for estimating the wood properties of a number of tropical, subtropical, and temperate pine species.…”
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  2. 2

    Rapid and Non-destructive Detection of Rice Protein Content Based on Near Infrared Spectroscopy by Siping TAN, Jicheng YUE, Ying CHEN, Cuihong HUANG, Danhua ZHOU, Huijuan ZHANG, Guili YANG, Hui WANG

    Published 2024-10-01
    “…The internal cross-validation R2 and SECV of NIR detection models for determination of protein content in rice and milled rice were 0.880 and 0.916, and 0.296 and 0.238, respectively. …”
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  3. 3

    Determination of the Degree of Degradation of Frying Rapeseed Oil Using Fourier-Transform Infrared Spectroscopy Combined with Partial Least-Squares Regression by Jie Yu Chen, Han Zhang, Jinkui Ma, Tomohiro Tuchiya, Yelian Miao

    Published 2015-01-01
    “…The precise calibration model based on the second derivative FTIR spectra shows that the coefficients of determination for calibration (R2) and standard errors of cross validation (SECV) were 0.99 and 0.16 mg KOH/g and 0.98 and 1.17% for AV and TPC, respectively. …”
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