基于近红外光谱法快速检测藜麦纤维含量

摘要

[Objective] To explore a rapid determination method for fiber content in grains of quinoa .[Method] Near infrared spectra of 100quinoa samples were collected. The predicted models for quantitative analysis of fiber contents in the grains was built using near infrared transmittancespectroscopy (NITS).[Result] In the wavelength range of 10 000 -4 000 cm -1 , we set up near infrared quantitative model of quinoacrude fiber via first derivative +vector normalization preprocessing and combining with the data from chemical methods.Meanwhile, calibrationand prediction effect were the best, and then the cross validation decision coefficient (R2 cv) and external validation decision coefficient(R2 val) of fiber by near infrared quantitative model were 0.884 8 and 0.876 1, respectively.[Conclusion] The model of NITS aboutcomplete grains quinoa fiber can be available for fast detecting quinoa fiber content.%[目的]探索一种快速测定完整藜麦籽粒纤维含量的方法。[方法]采集100个藜麦样品的近红外光谱，运用近红外光谱分析技术建立数学模型并进行预测。[结果]在10000～4000 cm －1波长范围内，运用一阶导数＋矢量归一化光谱方法进行预处理，结合化学方法所得数据建立藜麦粗纤维近红外定量模型，校正和预测效果最佳，所得的粗纤维近红外定量模型的交叉验证决定系数为0．8848，外部验证决定系数为0．8761。[结论]以完整藜麦籽粒为样品所建立的纤维NITS模型可用于藜麦纤维含量的快速检测。