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中国精品科技期刊2020
徐流芳,李翔,刘达玉,等. 不同骨类的骨汤炖煮工艺优化及挥发性风味分析[J]. 食品工业科技,2026,47(1):1−14. doi: 10.13386/j.issn1002-0306.2024110258.
引用本文: 徐流芳,李翔,刘达玉,等. 不同骨类的骨汤炖煮工艺优化及挥发性风味分析[J]. 食品工业科技,2026,47(1):1−14. doi: 10.13386/j.issn1002-0306.2024110258.
XU Liufang, LI Xiang, LIU Dayu, et al. Optimization of Simmering Process of Bone Broth from Different Bone Types and Analysis of Volatile Flavors[J]. Science and Technology of Food Industry, 2026, 47(1): 1−14. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024110258.
Citation: XU Liufang, LI Xiang, LIU Dayu, et al. Optimization of Simmering Process of Bone Broth from Different Bone Types and Analysis of Volatile Flavors[J]. Science and Technology of Food Industry, 2026, 47(1): 1−14. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024110258.

不同骨类的骨汤炖煮工艺优化及挥发性风味分析

Optimization of Simmering Process of Bone Broth from Different Bone Types and Analysis of Volatile Flavors

  • 摘要: 为了优化火锅汤料的骨汤炖煮工艺,以牛棒骨、猪棒骨和鸡棒骨为原料,对骨类比、料液比、炖煮时间和炖煮温度进行单因素分析。以骨汤的总氮溶出率(total nitrogen dissolution rate,TNDR)和感官评分为评价指标。利用Box-Behnken响应面对骨汤炖煮工艺进行优化,电子鼻和顶空固相微萃取-气相色谱质谱法(headspace solid-phase microextraction/gas chromatography-mass spectrometer,HS-SPME-GC-MS)检测,相对气味活度值(relative odor activity value,ROAV)结合定量描述分析法(quantitative descriptive analysis,QDA)进行风味分析,联合正交偏最小二乘判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)对不同原料的骨汤特征挥发性化合物(volatile organic compounds,VOCs)与电子鼻数据进行相关性分析。结果表明:当常压下,骨类比(牛骨∶猪骨∶鸡骨)为3∶5∶2、料液比1∶4、炖煮时间5 h、炖煮温度96 ℃时,此条件下骨汤的TNDR最高为64.88%,感官评分最高为86.45分,骨汤颜色乳白、香味浓郁、口感醇厚。经电子鼻和HS-SPME-GC-MS分析,四种样品共检测出49种VOCs。混合骨汤中产出更多的苯类和胺类风味物质,同时增加了W1S、W1W、W2S和W2W的响应值,风味更加显著。具体分析ROAV≥1的关键VOCs有25种,四种样品共有3个关键VOCs为辛醛、壬醛、甲基庚烯酮。通过对骨汤风味贡献大的物质ROAV≥1且VIP≥1的12种特征VOCs与电子鼻信号相关联,发现他们之间有较强的相关性。本研究可为火锅汤料中骨汤的工业化风味优化及现代烹饪技术的创新应用提供依据。

     

    Abstract: In order to optimize the simmering process of bone broth for hotpot soup, a one-way analysis of bone ratio, material-liquid ratio, simmering time and simmering temperature was carried out using cow, pig and chicken bones as raw materials. The total nitrogen dissolution rate (TNDR) and sensory score of the bone broth were used as evaluation indexes. The Box-Behnken response surface methodology was employed to optimize the bone broth stewing process. Flavor analysis was conducted using an electronic nose and headspace solid-phase microextraction/gas chromatography-mass spectrometry (HS-SPME-GC-MS) detection, with relative odor activity value (ROAV) combined with quantitative descriptive analysis (QDA) for flavor analysis, and orthogonal partial least squares-discriminant analysis (OPLS-DA) to correlate characteristic volatile organic compounds (VOCs) in bone broth from different raw materials with electronic nose data. The results showed that when the bone ratio (cow bone:pig bone:chicken bone) was 3:5:2, the material-liquid ratio was 1:4, the simmering time was 5 h, and the simmering temperature was 96 ℃ at atmospheric pressure, the TNDR of the bone broth under these conditions was the highest of 64.88%, and the organoleptic score was the highest of 86.45 points, and the bone broth was milky in color, with a strong fragrance and a mellow texture. Analyzed by electronic nose and HS-SPME-GC-MS, a total of 49 VOCs were detected in the four samples. The mixed bone broth yielded more benzene and amine flavor substances, and also increased the response values of W1S, W1W, W2S, and W2W, with a more significant flavor. There were 25 key VOCs specifically analyzed for ROAV≥1. A total of three key VOCs for the four samples were octanal, nonanal, and 5-hepten-2-one, 6-methyl-. There was a strong correlation by correlating the 12 characteristic VOCs with electronic nose signals for the substances with high flavor contribution to bone broth with ROAV≥1 and VIP≥1. This study can provide a basis for the industrial flavor optimization of bone broth in hotpot soup and the innovative application of modern cooking technology.

     

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