近红外光谱技术快速无损检测蓝莓总黄酮、花青素的研究

Fast non-destructive testing of total flavonoids and anthocyanins in blueberries by near-infrared spectroscope

为建立起蓝莓的快速无损检测体系，本研究应用近红外光谱技术对鲜蓝莓中总黄酮、花青素的含量进行了分析，在光谱全波长（400～2500nm）范围内采用偏最小二乘法（PLS）建立蓝莓总黄酮、花青素含量的定标数学模型，其相关系数分别为0．836和0．750，校正标准误差（SECV）分别为1．423mg/（100g）和4．688mg／（100g）。然后使用最优模型对32个未知样品进行预测，其预测相关系数R2p分别为0．7968和0．7902，预测标准误差分别为2．779mg/（100g）和5．013mg／（100g），残差和分别为-0．003mg／（100g）和-9．256（mg／100g）。实验结果说明，近红外漫反射技术可用于快速无损检测蓝莓中总黄酮、花青素含量。

In order to establish the fast non-destructive testing of blueberry,the total flavonoids and anthocyanins in fresh blueberry were analyzed by near infrared spectroscope（NIRS）. In the spectral region between 400- 2500 nm,statistical mathematical models of total flavonoids and anthocyanins in blueberry were established within broad spectrum （400-2500 nm） using the partial least squares （PLS）. The correlation coefficient were 0.836 and 0.750 respectively,and the standard errors for calibration（SECV） were 1.423 mg/（100g） and 4.688 rag/ （100g） respectively. Then 32 unknown samples were predicted by the optimal models. The correlation coefficient of prediction （Rp2） were 0.7968 and 0.7902 respectively,and the standard errors of prediction （SEP） were 2.779 mg/（100g） and 5.013 mg/（100g） respectively,and residual sum were -0.003 mg/（100g） and-9.256 mg/ （100g） respectively. The results showed that near infrared spectroscope could be used in fast non-destructive testing of total flavonoids and anthocyanins in blueberries.