基于近红外漫反射光谱分析技术的樱桃可溶性固形物无损检测的研究摘要:本研究在对国内外水果品质检测技术现状及发展趋势进行分析与综合的基础上,以樱桃为研究对象,利用近红外检测的基本原理,研究樱桃糖度的检测方法, 建立了近红外漫反射光谱与樱桃内部指标可溶性固形物含量之间的关系,并且评价了近红外漫反射光谱在测量樱桃可溶性固形物含量上的应用价值。首先,在 350~1800nm 范围内采集样品光谱;其次,选取建模的最佳谱区,采用主成分分析(PCR)和偏最小二乘法(PLS)两种不同的多元校正方法在最佳谱区内建立校正模型,并用于检验集样品可溶性固形物含量的预测。实验表明,PLS 方法最适建模光谱为 500~1600nm,而 PCR 方法最适建模光谱为 800~1400nm。将最佳谱区用三种不同预处理方法(原始光谱、一阶微分和二阶微分)处理,并比较各校正模型的预测能力。通过多元统计分析,得到最好的预测结果是:未经处理的原始光谱 PLS 校正模型,决定系数为 R2=0.9955,校正标准差差为 RMSEC=0.1086,预测集的决定系数为 R2=0.8727,预测标准差为 RMSEP=0.4932。可见,模型效果相当好,近红外漫反射光谱可以作为一种准确、快速且无损的方法用于检测樱桃可溶性固形物含量。关键词: 近红外漫反射光谱;樱桃;无损检测;可溶性固形物;主成分分析;偏最小二乘法Research for the Soluble Solids Content of Cherry by Near-Infrared Diffuse Reflectance (NIR) Spectroscopy with Nondestructive Examination (NDE)CHEN Sai-hui Director:CHEN Wen-rong Abstract : Based on the analysis and synthesis of present fruit determination and its developing tendency, this research objected with cherry, according to the basic principle of near infrared detecting, researched the detecting method of soluble solids content (SSC) in cherry and established relationships between the near-infrared diffuse reflectance (NIR) spectroscopy and SSC which is the internal quality index of cherry fruit, then evaluated the applied value of NIR spectrometry in measuring the SSC. At first, collecte the spectral of samples in the range of 350~1800nm; second, select the best spectral...