食品科学 ›› 2025, Vol. 46 ›› Issue (21): 284-292.doi: 10.7506/spkx1002-6630-20250506-016

• 安全检测 • 上一篇    

我国主产地花椒特征品质差异与鉴别模型构建

王彦云,王传明,严春俊,胡涛,岳宁   

  1. (1.四川天味食品集团股份有限公司,四川?成都 610213;2.四川天味家园食品有限公司,四川?成都 610730;3.四川省农业科学院农业质量标准与检测技术研究所,四川?成都 610066)
  • 发布日期:2025-11-10
  • 基金资助:
    绿色食品(绿色优质农产品)高质量创新发展技术研究项目(GFJY2024005)

Zanthoxylum bungeanum and Zanthoxylum schinifolium from Major Production Regions in China: Characteristic Quality Differences and Discrimination Model

WANG Yanyun, WANG Chuanming, YAN Chunjun, HU Tao, YUE Ning   

  1. (1. Sichuan Teway Food Group Co. Ltd., Chengdu 610213, China; 2. Sichuan Teway Homeland Food Co. Ltd., Chengdu 610730, China; 3. Institute of Quality Standard and Testing Technology Research, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China)
  • Published:2025-11-10

摘要: 为建立花椒产地准确鉴别方法,本研究分析我国甘肃、四川、云南、陕西和重庆典型产地共106 批次红花椒和青花椒总麻素、挥发油、山椒素等特征品质指标含量差异。同时,利用气相色谱解析花椒样品间香气组分差异,样品采用三合一萃取头(DVB/C-WR/PDMS)固相微萃取方法萃取,DB-5MS柱(30 m×0.32 mm,0.25 µm)分离,在电子电离源下采用气相色谱进行检测。基于风味组学,运用多元数据分析手段,选定不同种类和不同产地间花椒共有的6 个特异性差异香气组分(桧烯、月桂烯、D-柠檬烯、桉叶油醇、α-蒎烯和左旋-α-蒎烯)。基于花椒特异性组分建立包含4 个指标的花椒产地鉴别模型,并利用28 个花椒盲样验证,准确率达100%,该模型已成功应用于公司花椒原料产地鉴别。该方法克服了市场对传统“专家感官品鉴”的过度依赖性,可基于仪器分析实现对不同产地花椒品种的快速鉴定。本研究为建立花椒鉴定及溯源技术体系提供参考。

关键词: 花椒;香气;产地溯源;鉴别模型;验证?

Abstract: To establish an accurate method for the geographical discrimination of Zanthoxylum, this study analyzed differences in characteristic quality indicators including total sanshoamides, volatile oils and sanshools among 106 batches of Zanthoxylum bungeanum and Z. schinifolium from representative production regions in Gansu, Sichuan, Yunnan, Shaanxi and Chongqing provinces. The differences in aroma components were determined by solid-phase microextraction (SPME) using a DVB/C-WR/PDMS fiber, separation on a DB-5MS capillary column (30 m × 0.32 mm, 0.25 μm) and gas chromatography (GC) using an electron ionization (EI) source. Through flavoromics approaches and multivariate data analysis, six characteristic differential aroma components (sabinene, myrcene, D-limonene, eucalyptol, α-pinene, and L-α-pinene) across geographical origins and species were identified. A four-component model for the geographical discrimination of Zanthoxylum was developed based on these six aroma components and validated using 28 blind samples, obtaining 100% accuracy. The model has been successfully applied in the geographical discrimination of Zanthoxylum. This method, overcoming the market over-reliance on traditional sensory evaluation, enables rapid geographical discrimination of Zanthoxylum. This study provides a reference for establishing a Zanthoxylum identification and traceability system.

Key words: Zanthoxylum; aroma; geographical traceability; discrimination model; validation

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