莲藕淀粉含量的近红外光谱无损检测方法

Non-Destructive Detection on the Starch Content of Lotus Root by Near-Infrared Spectroscopy Technology

摘要:

应用近红外光谱技术无损检测莲藕的淀粉含量。对光谱数据的3种预处理方法进行了比较分析,再采用偏最小二乘法(PLS)和联合区间偏最小二乘法(SiPLS)建立了莲藕淀粉含量的近红外光谱分析模型。研究结果表明,经多元散射校正、一阶导数和平滑等结合的预处理,采用联合区间偏最小二乘法(SiPLS)建立的模型最佳;其校正集的相关系数(Rc)和均方根误差(RMSEC)分别为0.960 0和0.741 6,预测集的相关系数(Rp)和均方根误差(RMSEP)为0.923 8和1.050 6,可以满足实际应用要求。结论:利用近红外光谱技术对莲藕淀粉含量进行无损检测切实可行。

Abstract:

The target of this study is to develop a non-destructively detected method for the starch content of lotus root by near infrared spectroscopy technology. Three methods were applied to pretreat the spectrum data and then the NIR analysis models of the starch content of lotus root were established using PLS and SiPLS method. The results showed that the SiPLS model of the starch content of lotus root by multiple scattering correction,first derivative and smoothing preprocessing was optimum for the practical application. The correlation coefficient and RMSEC of calibration set were 0.960 0 and 0.741 6,and the correlation coefficient and RMSEP of prediction set were 0.923 8and 1.050 6. In conclusion,the near infrared spectroscopy technology was feasible to non-destructively measure the starch content of lotus root.