西瓜可溶性固形物含量近红外透射检测技术

设计的近红外透射式西瓜可溶性固形物含量（SSC）检测系统主要包括光纤光谱仪、光纤透射附件、数据采集卡以及自制光源。对50个麒麟瓜SSC进行了预测试验，采用主成分回归和偏最小二乘回归法分别建立了样品的原始光谱、一阶微分光谱、二阶微分光谱和SSC的预测模型，结果表明偏最小二乘回归法建立的模型具有较高的相关性，相关系数为0．951，均方根校正误差0．347，均方根预测误差0．302，样本真实值与预测值的相关系数为0．910。

Near-infrared Transmittance Measuring Technique for Soluble Solids Content of Watermelon

A measuring system for soluble solids content(SSC)of watermelon was developed based on near-infrared transmittance technique.The system mainly consists of an available spectrometer,optic fiber transmittance accessories,data sampling card and light source.Prediction test for SSC of 50 'Qilin' watermelons were carried out by the system.The calibration models between the spectra(the original spectra,its first derivative,and its second derivative)and SSC were established using partial least square and principle component regression methods.The results showed that the second derivative spectra with partial least square method provided the best prediction of the SSC of watermelons with the correlation coefficient of 0.951,the root mean square error of calibration of 0.347 and the root mean square error of prediction of 0.302.The correlation coefficient between predicted and measured values is 0.910.