基于双指标分析法和聚类分析法的花椒红外指纹图谱研究
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(四川农业大学食品学院,四川 雅安 625014)

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课净璇,女,四川农业大学在读硕士研究生。

通讯作者:

张志清(1976—),男,四川农业大学教授,博士生导师,博士。E-mail: zqzhang721@163.com

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四川省科技厅应用基础项目 (编号: 2016JY0118);国家林业局林业行业标准项目 (编号: 2015-LY-184)


Infrared Fingerprint Analysis of Zanthoxylum Based on Sequential Dual-Indexes and Cluster Analysis Method
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(College of Food Science, Sichuan Agricultural University, Ya’an, Sichuan 625014, China)

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    摘要:

    为探索建立一种有效鉴别花椒产地的方法,以17份不同产地花椒为原料,采用傅里叶变换红外光谱技术结合双指标分析法和聚类分析法研究不同产地花椒之间亲缘远近关系,并对花椒红外二阶导数光谱图进行分析比较,研究花椒所含特征物质与产地之间的关系。结果表明,不同产地花椒红外光谱图频率分布基本一致,但在3 500~2 800 cm-1和1 700~1 000 cm-1两个波段中吸收峰数目和强度存在差异;应用双指标分析法可精确地表示样品间的亲缘关系;红外图谱经二阶导数处理,将特征峰峰高值导入SPSS 22.0 软件进行聚类分析,17个花椒样品被分为五类。试验探索出了一种简便、有效的花椒产地鉴别方法。

    Abstract:

    It was focused on setting a effective way for tracing the producing area of Zanthoxylum in this study, by using infrared fingerprints. The methods of dual-indexes and cluster had been applied to analyze the infrared fingerprints so as to investigate similarity of 17 samples. Moreover, the relationship between the producing area and prime substances in Z. bungeanum Maxim. has been researched by analyzing second derivative of the infrared fingerprints of Z. bungeanum Maxim. The infrared spectras of Zanthoxylum had the similar characteristic peaks, but there were still some differences in the number and intensity of the absorption peaks in the range of fingerprint region 3 500~2 800 cm-1 and 1 700~1 000 cm-1. The degree of similarity of 17 samples were accurate when used sequential analysis of dual-indexes. The peak heights of infrared fingerprints after reckoned second derivative were used to cluster analysis by SPSS 22.0, and 17 samples were divided into five categories, obviously. In this study, a simple and convenient method for identification of Zanthoxylum was explored.

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课净璇,黎杉珊,申光辉,等.基于双指标分析法和聚类分析法的花椒红外指纹图谱研究[J].食品与机械,2017,33(3):55-61.
KEJingxuan, LIShanshan, SHENGuanghui, et al. Infrared Fingerprint Analysis of Zanthoxylum Based on Sequential Dual-Indexes and Cluster Analysis Method[J]. Food & Machinery,2017,33(3):55-61.

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  • 收稿日期:2017-01-16
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  • 在线发布日期: 2023-03-10
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