利用近红外光谱和化学计量学快速鉴定越南黑胡椒的地理来源

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引用次数: 0

摘要

本研究的目的是建立一种基于近红外光谱和化学计量学相结合的快速确定黑胡椒产地的方法。采用近红外光谱技术对越南中北部地区、中部高地地区和东南部地区111份黑胡椒样品的地理来源进行了分析。采用便携式近红外光谱仪采集完整黑胡椒的光谱。建立了支持向量机(SVM)、线性判别分析(LDA)和k近邻(KNN)模型,并对不同预处理方法下的识别效果进行了优化和比较。采用支持向量机(SVM)分类和标准正态变量(SNV)光谱预处理,黑胡椒产地鉴定的标定集和验证集的分类准确率分别为98.7%和100%。本研究表明,便携式光谱仪可作为黑胡椒样品地理来源分类的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid Identification of the Geographical Origin of Black Pepper in Vietnam Using Near-Infrared Spectroscopy and Chemometrics
The aim of this study was to develop a rapid method for determining geographical origin of black pepper based on combination of near-infrared spectroscopy and chemometric algorithms. Near-infrared spectroscopy was used to determine the geographical origin of 111 black pepper samples from three regions in Vietnam: North Central Region, Central Highlands and Southeast Region. A portable NIR spectrometer was used to collect the spectra of intact black pepper. Support vector machine (SVM), linear discriminant analysis (LDA) and K-nearest neighbors (KNN) were established and the identification effect of these models with different pre-processing methods were optimized and compared. By using support vector machine (SVM) classification and standard normal variate (SNV) spectral pre-processing, classification accuracy was 98.7% on the calibration and 100% on the validation sets for the determination of origin of black pepper. This study has demonstrated that portable spectrometers can be effective tools to use in the classification of black pepper samples according to their geographical origin.
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