Abstract:In order to detect soluble solids content(SSC) in fruit conveniently and rapidly, a portable soluble solids content spectrometer for apple was designed based on STS spectrometer. The NIR spectral data were obtained by the portable fruit soluble solids content spectrometer and recorded with the integration time of 100 ms in the wavelength range of 630~1 125 nm. Meanwhile, two structural parameters light source angle α and distance between light source and probe W were analyzed for investigating the influence of the response properties of visible-NIR spectra. The partial least square regression model and least squares support vector machine model were established. By comparison, partial least square regression model performed better. When the distance between probe and light source was 15 mm and the angle of light source was 45, its performance was the best with the root mean square error(RMSEP) of prediction set of 0.334% and correlation coefficient of prediction set of 0.924.
刘燕德,朱丹宁,孙旭东,吴明明,韩如冰,马奎荣,叶灵玉,张柏聪. 苹果可溶性固形物便携式检测实验研究[J]. 光谱学与光谱分析, 2017, 37(10): 3260-3265.
LIU Yan-de, ZHU Dan-ning, SUN Xu-dong, WU Ming-ming, HAN Ru-bing, MA Kui-rong, YE Ling-yu, ZHANG Bai-cong. Study on Detecting Soluble Solids in Fruits Based on Portable Near Infrared Spectrometer. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3260-3265.
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