食品科学 ›› 2024, Vol. 45 ›› Issue (13): 275-281.doi: 10.7506/spkx1002-6630-20230916-148

• 安全检测 • 上一篇    

气相色谱-离子迁移谱结合化学计量学分析对新会陈皮的鉴别

庞钶靖, 万国超, 刘振平, 甘芳瑗, 姜容, 龙道崎, 唐超   

  1. (1.重庆安全技术职业学院,重庆 404000;2.西华大学食品与生物工程学院,四川 成都 610039)
  • 发布日期:2024-07-12
  • 基金资助:
    重庆市万州区博士“直通车”科研项目(wzstc-20220131)

Identification of Xinhui Chenpi (Citri Reticulatae Pericarpium) by Gas Chromatography-Ion Mobility Spectrometry Combined with Chemometric Analysis

PANG Kejing, WAN Guochao, LIU Zhenping, GAN Fangyuan, JIANG Rong, LONG Daoqi, TANG Chao   

  1. (1. Chongqing Vocational Institute of Safe & Technology, Chongqing 404000, China;2. School of Food and Bioengineering, Xihua University, Chengdu 610039, China)
  • Published:2024-07-12

摘要: 采用气相色谱-离子迁移谱(gas chromatography-ion mobility spectrometry,GC-IMS)技术对包括新会陈皮在内的10 个产地陈皮的风味成分进行测定,运用主成分分析和偏最小二乘判别分析(partial least squares discriminant analysis,PLS-DA)方法对GC-IMS检出的75 种风味成分进行分析,以建立新会陈皮的鉴别方法。结果表明,该方法可将新会陈皮与其他陈皮区分开,实现对新会陈皮的有效鉴别。同时,分析变量投影重要性可进一步筛选出20 种对有效区分新会陈皮和其他产地陈皮发挥关键作用的特征标志物。本研究通过引入GC-IMS技术和PLS-DA方法实现了新会陈皮与其他产地陈皮的准确鉴别,可为新会陈皮的国家地理标志产品保护和产地溯源提供新的技术参考。

关键词: 气相色谱-离子迁移谱;新会陈皮;主成分分析;偏最小二乘判别分析

Abstract: Gas chromatography-ion mobility spectrometry (GC-IMS) was used to determine the flavor components of Citri Reticulatae Pericarpium (Chenpi) from 10 different geographical origins including Xinhui. To establish a method for the identification of Xinhui Chenpi, the 75 identified flavor components were analyzed by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The results showed that the proposed method could distinguish Xinhui Chenpi from those from other regions. Meanwhile, by analyzing the variable importance in projection (VIP), we selected 20 key characteristic markers to distinguish Xinhui Chenpi from other Chenpi. In conclusion, the combined application of GC-IMS and PLS-DA allows the accurate identification of Xinhui Chenpi, providing a new technical reference for the protection and origin tracing of Xinhui Chenpi as a national geographical indication product in China.

Key words: gas chromatography-ion mobility spectrometry; Xinhui Chenpi; principal component analysis; partial least squares discriminant analysis

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