基于近红外光谱分析技术的栽培香菇产地快速鉴别

建立了一种基于近红外光谱分析技术的香菇产地鉴别方法。利用近红外光谱仪扫描不同主产地的香菇干样,获得样品的近红外漫反射光谱。利用偏最小二乘判别分析(PLSDA)分别建立了吉林、湖北、福建3个省份栽培香菇的产地判别模型,同时使用光谱预处理和波长筛选技术对判别模型进行优化,最后使用预测样品对模型进行验证。结果表明,使用原始光谱建立的模型能够初步实现对产地的判别,使用光谱预处理技术扣除光谱中的背景信息,同时利用波长筛选技术选择特定波长对模型进行优化后,可进一步提高预测正确率。该方法为香菇产地真实性溯源提供了一种新方法,对香菇产业发展具有重要的实际意义。

Rapid Identification of Shiitake Geographical Origins Based on Near Infrared Spectroscopy

A rapid and non-destructive identification method for shiitake geographical origins was developed based on near infrared(NIR) spectroscopy combined with chemometrics.The NIR spectra of dried shiitake samples from different regions were collected in the diffuse reflectance mode.The origin discrimination models for shiitake cultivated in Jilin,Hubei and Fujian provinces were respectively established by partial least squares discriminant analysis(PLSDA),then optimized by spectral preprocessing and wavelength screening technique,and finally verified with samples.Results showed that the model established with the original spectrum could initially achieve the identification of the origin.The spectral preprocessing was used to subtract the background information in the spectrum,and the wavelength selection technique was used to select a specific wavelength to optimize the model.The prediction results could be further improved based on spectral preprocessing and wavelength selection.This method provides a new approach for tracing the origin of shiitake production,which has an important practical significance in the development of shiitake industry.