基于近红外光谱的五味子提取过程在线检测方法研究

On-line Monitoring of Extraction Process for Schisandrachinensis Using Near-Infrared Spectroscopy

目的:利用近红外(NIR)光谱法,建立定量模型,实现五味子提取过程中关键指标的快速检测。方法:在线采集五味子提取液的近红外光谱,以高效液相色谱法和差重法获取参照,采用最小二乘回归法(PLSR)分别建立五味子醇甲、果糖、葡萄糖和可溶性固形物的定量模型。结果:定量模型的校正集相关系数R、校正均方根误差RMSEC、预测均方根误差RMSEP分别为:五味子醇甲0.99792、1.41、8.76,果糖0.99246、0.0919、0.333,葡萄糖0.99371、0.0954、0.448,可溶性固形物0.98723、3.07、11.2。结论:该方法快速、便捷,结果准确,适用于五味子提取过程的快速检测。

It is the objective of this study to establish quantitative models to detect quality indicators rapidly during theextraction process of Schisandrachinensis using using near-infrared （NIR） spectroscopy. NIR spectrum was collected on-line and PLSR models were developed for the contents of schisandrin , fructose, glucose and soluble solids, which were measured with HPLC and weight loss methods. For the cross validation of contents of schisandrin, fructose, glucose and soluble solids, the correlation coefficients were 0.99792, 0.99246, 0.99371 and 0.98723; RMSEC were 1.41, 0.0919, 0.0954 and 3.07; RMSEP were 8.76, 0.333, 0.448 and 11.2, respectively. In conclusion, NIR models were developed successfully to determine the quality indicators including the contents of schisandrin, fructose, glucose and soluble solids rapidly and accurately.