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中国精品科技期刊2020
姜锦惠,潘国杨,陶鑫禹,等. 基于HS-SPME-GC-MS结合多元统计分析市售豆酱的挥发性风味物质[J]. 食品工业科技,2025,46(16):323−334. doi: 10.13386/j.issn1002-0306.2024090227.
引用本文: 姜锦惠,潘国杨,陶鑫禹,等. 基于HS-SPME-GC-MS结合多元统计分析市售豆酱的挥发性风味物质[J]. 食品工业科技,2025,46(16):323−334. doi: 10.13386/j.issn1002-0306.2024090227.
JIANG Jinhui, PAN Guoyang, TAO Xinyu, et al. Analysis of Volatile Flavor Substances in Commercial Soybean Paste Based on HS-SPME-GC-MS Combined with Multivariate Statistics[J]. Science and Technology of Food Industry, 2025, 46(16): 323−334. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024090227.
Citation: JIANG Jinhui, PAN Guoyang, TAO Xinyu, et al. Analysis of Volatile Flavor Substances in Commercial Soybean Paste Based on HS-SPME-GC-MS Combined with Multivariate Statistics[J]. Science and Technology of Food Industry, 2025, 46(16): 323−334. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024090227.

基于HS-SPME-GC-MS结合多元统计分析市售豆酱的挥发性风味物质

Analysis of Volatile Flavor Substances in Commercial Soybean Paste Based on HS-SPME-GC-MS Combined with Multivariate Statistics

  • 摘要: 为研究不同市售豆酱的香气差异,本文以33种我国市售豆酱作为研究对象,对其进行香气感官和理化指标检测,利用SPSS软件进行因子分析,筛选出15种质量较优豆酱。应用顶空-固相微萃取-气相色谱-质谱联用技术对优选豆酱进行挥发性风味物质检测。结合多元统计方法对豆酱进行聚类分析,对比不同豆酱之间的香气相似性和差异性。结果表明,15种豆酱被分成A、B、C三组,共检测出390种挥发性风味物质。偏最小二乘判别分析共发现50种VIP值>1的差异代谢风味物质,种类最多的是酯类物质,可能对豆酱的香气贡献更大。此外,C组豆酱的总挥发性风味物质含量最高,总量在197.695~307.785 ng/g之间,较A和B组的香气差异更大。3组豆酱共有挥发性风味物质48种,包括3-甲硫基丙醛、苯甲酸乙酯、安息香醛等酱香物质。C组豆酱的3-甲硫基丙醛、油酸乙酯等酱香物质含量较高,且C组豆酱特有1-辛烯-3-醇、2-甲基-1-丁醇、苯乙酸乙酯、糠醛等令人愉悦的香气物质,其香气感官评分排名也位居前列。说明这些物质可能对豆酱的香气感官发挥了重要作用。本研究为进一步探索中国豆酱的风味品质奠定了基础。

     

    Abstract: To investigate the aroma differences among various soybean pastes, 33 types of soybean pastes from China were selected as the study subjects. Both aroma sensory evaluations and physicochemical indices were measured. Through factor analysis using SPSS software, 15 high-quality soybean pastes were identified for further analysis. The volatile flavor compounds in these selected pastes were analyzed using the headspace solid-phase microextraction combined with Gas Chromatography-Mass Spectrometry techniques. Multivariate statistical methods, including cluster analysis, were employed to compare the aroma similarities and differences among the various soybean pastes. The findings revealed that the 15 soybean pastes could be categorized into three groups: A, B, and C, with a total of 390 volatile flavor compounds were detected. Partial least squares discriminant analysis identified 50 distinct flavor metabolites with a VIP value greater than 1, with esters being the most prevalent, potentially contributing significantly to the aroma of soybean pastes. Notably, group C exhibited the highest total volatile flavor substance content, ranging from 197.695 to 307.785 ng/g, indicating greater aroma diversity compared to groups A and B. Among the three groups, 48 volatile flavor substances were identified, including 3-methylthiopropanal, ethyl benzoate, and benzoin aldehyde. Group C soybean pastes were found to have notably high levels of 3-methylthiopropanaldehyde, ethyl oleate, and other sauce flavored substances, as well as pleasant aroma components such as 1-octene-3-ol, 2-methyl-1-butanol, ethyl phenylacetate, and furfural, leading to their highest aroma sensory score. These substances are likely critical in shaping the aroma profile of soybean pastes. This research lays the groundwork for further exploration into the flavor quality of soybean pastes in China.

     

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