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一种基于近红外光谱技术的不同品种及掺假三七的无损鉴别分析研究
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作者单位
余 梅,李尚科,戴雪婧,郑 郁,李 跑,蒋立文,刘 霞 1. 湖南师范大学 医学院湖南 长沙 4100132. 湖南农业大学 食品科学技术学院 食品科学与生物技术湖南省重点实验室湖南 长沙 4101283. 湖南省农业科学院 湖南省农产品加工研究所湖南 长沙 410125 
基金项目:国家自然科学基金(31601551,31671931);湖南省自然科学基金(2019JJ50240);湖南省教育厅科学研究项目优秀青年项目(18B118);中国博士后科学基金面上项目(2019M650187)
中文摘要:基于近红外光谱技术与化学计量学方法,提出了一种不同品种及掺假三七的快速无损鉴别方法。分别采集景天三七、菊三七、血三七、田三七完整、粉末及掺假样品的近红外光谱,采用单一和组合预处理方法消除光谱中的干扰,筛选出最佳的预处理方法;结合主成分分析法建立不同品种以及掺假三七样品的鉴别模型。结果表明:结合主成分分析,采用原始光谱即可实现粉末及掺假样品的100%鉴别分析,而完整样品由于受到物理性状的干扰,其原始光谱数据的品种鉴别率仅为9.38%;而经连续小波变换预处理后可达93.75%。采用组合预处理方法可以进一步消除光谱存在的多种干扰,显著提高完整样品的鉴别准确性,采用去偏移 + 一阶导数、去偏移+连续小波变换以及二阶导数+标准正态变量变换预处理方法预处理后,完整样品的鉴别准确率达到了93.75%。以上结果表明,采用近红外光谱技术与化学计量学方法可有效实现对不同品种以及掺假三七的快速无损鉴别分析。
中文关键词:近红外光谱技术  三七  掺假  无损鉴别  主成分分析
 
A Non-destructive Identification Method for Different Varieties and Adulterate Notoginseng Based on Near-infrared Spectroscopic Technique
Abstract:Based on near-infrared spectroscopy and chemometrics, a rapid and non-destructive identification method for different varieties and adulterate notoginseng was proposed. Meanwhile, samples of Sedum notoginseng, Chrysanthemum notoginseng, Xue notoginseng and Tian notoginseng were collected, and the near-infrared spectra for complete, powder and adulterated samples were obtained. Single and combined pretreatment methods were used to eliminate the interferences in the spectra, in which the best pretreatment method was screened out. Combined with the principal component analysis method, the identification models for different varieties and adulterated samples were established. Results showed that with the original spectra of powder and adulterated samples,100% identification accuracy could be obtained. Affected by the physical properties,the identification accuracy for the complete samples was 9.38%,but the value could reach 93.75% with the help of continuous wavelet transform. The combined pretreatment method could be used to eliminate the various interferences in the spectra, and the optimization pretreatment method could significantly improve the identification. With the help of De-bias + first derivative, De-bias + continuous wavelet transform, and second derivative + standard normal variable transformation, the identification accuracy of complete samples reached 93.75%. The above results showed that the rapid and non-destructive identification of different varieties and adulterate notoginseng could be realized by near-infrared spectroscopy technique combined with chemometrics.
Key Words:near-infrared spectroscopy  notoginseng  adulterate  non-destructive identification  principal component analysis
引用本文:余 梅,李尚科,戴雪婧,郑 郁,李 跑,蒋立文,刘 霞.一种基于近红外光谱技术的不同品种及掺假三七的无损鉴别分析研究[J].分析测试学报,2021,40(9):1374-1379.
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