食品科学 ›› 2025, Vol. 46 ›› Issue (17): 244-225.doi: 10.7506/spkx1002-6630-20250330-228

• 成分分析 • 上一篇    

多元化学计量法结合电子感官分析不同品种干辣椒对辣椒油风味特征影响

陈雨佳,易宇文,张浩,谭成立,乔明锋,尤香玲,侯智勇,李想   

  1. (1.四川旅游学院烹饪与食品科学工程学院,四川?成都 610100;2.川菜人工智能重点实验室,四川?成都 610100;3.四川旅游学院 烹饪科学四川省高等学校重点实验室,四川?成都 610100)
  • 发布日期:2025-08-18
  • 基金资助:
    四川省科技计划资助项目(2023ZYD0079);四川省自然科学基金项目(2024NSFSC0371); 四川省社科联研究基地项目(CC24Z03;CC24Z24);四川旅游学院科研项目(2023SCTUZK82); 四川旅游学院大学生创新创业训练计划资助项目(202501003)

Effects of Different Varieties of Chili on the Flavor Characteristics of Chili Oil Analyzed by Multivariate Chemometrics Combined with Electronic Nose

CHEN Yujia, YI Yuwen, ZHANG Hao, TAN Chengli, QIAO Mingfeng, YOU Xiangling, HOU Zhiyong, LI Xiang   

  1. (1. College of Culinary and Food Science Engineering, Sichuan Tourism University, Chengdu 610100, China; 2. Key Laboratory of Artificial Intelligence for Sichuan Cuisine, Chengdu 610100, China; 3. Culinary Science Key Laboratory of Sichuan Province, Sichuan Tourism University, Chengdu 610100, China)
  • Published:2025-08-18

摘要: 为辨别不同品种干辣椒对辣椒油风味特征的影响,采用电子鼻、气相色谱-离子迁移谱(gas chromatography-ion mobility spectrometry,GC-IMS)检测化合物,通过相对气味活度值(relative odor activity value,ROAV)、定量描述分析与偏最小二乘回归(partial least squares regression,PLSR)法等化学计量法分析感官特征与化合物的相关性,旨在建立辣椒油相关和差异化评价体系。研究表明电子鼻可以区分样品气味轮廓。GC-IMS检出82 种化合物,包含28 种醛类、15 种醇类、9 种酮类、10 种萜烯类、7 种酯类、10 种杂环类、2 种苯类、1 种酸类;辣椒油主要由醛类化合物构成,其次是酸类、萜烯类。3-甲基丁醛(ROAV=40)是影响辣椒油风味的关键化合物。PLSR分析认为二荆条辣椒制作的辣椒油香气属性最佳,赋予辣椒油浓郁香气;秦椒油脂香气浓郁,为辣椒油增添风味层次;小米辣的糊辣香气和辣味强度,为辣椒油提供持续的辣味;皱皮辣椒、内黄新一代对辣椒油风味影响相对较弱,但可平衡整体风味。研究可为今后针对性地开发适合不同地域消费者喜好的辣椒油提供理论支撑和依据。

关键词: 不同品种干辣椒;辣椒油;气相色谱-离子迁移谱;多元化学计量法;风味特征

Abstract: To identify the effects of different varieties of chili on the flavor characteristics of chili oil, the volatile flavor compounds were detected by electronic nose (E-nose) and gas chromatography-ion mobility spectrometry (GC-IMS), and the sensory characteristics were determined by quantitative descriptive analysis (QDA). Key flavor compounds were identified by relative odor activity value (ROAV), and the correlation between the sensory characteristics and the volatile flavor compounds was analyzed by partial least squares regression (PLSR). The results demonstrated that the electronic nose could clearly discriminate the odor profiles of five chili oil samples. A total of 82 compounds were identified by GC-IMS, including 28 aldehydes, 15 alcohols, 9 ketones, 10 terpenes, 7 esters, 10 heterocyclic, 2 benzenes, and 1 acid. The major component of chili oil was found to be aldehydes, followed by acids and terpenes. 3-Methylbutyraldehyde (ROAV = 40) was identified as the key flavor compound of chili oil. PLSR indicated that Erjingtiao oil chili had the best aroma attributes with a strong aroma. Qinjiao oil had a strong greasy aroma with several layers of flavor. The burn chili-like aroma and pungency of Xiaomijiao oil contributed to the long-lasting spiciness. Both Zhoupi and Neihuang Xinyidai oils had a weak flavor in balance overall. This study provides theoretical support and a basis for the targeted development of chili oil to meet the preference of consumers from different regions.

Key words: different varieties of chili; chili oil; gas chromatography-ion mobility spectrometry; multivariate chemometrics; flavor characteristics

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