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中国精品科技期刊2020
袁源,何云侠,黄晓兵,等. 不同年份高良姜性状与特征风味成分的分析[J]. 食品工业科技,2025,46(22):298−306. doi: 10.13386/j.issn1002-0306.2024110334.
引用本文: 袁源,何云侠,黄晓兵,等. 不同年份高良姜性状与特征风味成分的分析[J]. 食品工业科技,2025,46(22):298−306. doi: 10.13386/j.issn1002-0306.2024110334.
YUAN Yuan, HE Yunxia, HUANG Xiaobing, et al. Analysis of Characteristics and Flavor Components of Alpinia officinarum Hance from Different Years[J]. Science and Technology of Food Industry, 2025, 46(22): 298−306. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024110334.
Citation: YUAN Yuan, HE Yunxia, HUANG Xiaobing, et al. Analysis of Characteristics and Flavor Components of Alpinia officinarum Hance from Different Years[J]. Science and Technology of Food Industry, 2025, 46(22): 298−306. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024110334.

不同年份高良姜性状与特征风味成分的分析

Analysis of Characteristics and Flavor Components of Alpinia officinarum Hance from Different Years

  • 摘要: 高良姜是多年生草本植物,为研究其不同年份的性状与特征风味成分的相关性,收集5个不同年份(1~5年生,Y1~Y5)的高良姜,分析生长过程中粗细、大小、硬度和粉量等性状的变化。采用气相色谱-质谱联用(Gas Chromatography-Mass Spectrometry,GC-MS)和液相色谱-飞行时间质谱联用(Liquid Chromatography-Time-of-Flight Mass Spectrometry,LC-TOF-MS)测定其特征风味成分并进行统计分析。结果表明,Y4的姜体积显著(P<0.05)大于其余年份,硬度和粉量随生长周期而增加。Y4的姜油提取率(2.58±0.07 mL/100 g)和提取量(1.32±0.04 mL)均显著(P<0.05)高于其余年份。GC-MS数据共鉴定出单萜类、含氧单萜类、倍半萜类、含氧倍半萜类、酮酯及其他类等五大类46种挥发性化合物,其中以桉叶油醇含量(15.52%~22.85%)最高。含氧单萜类化合物在Y1~Y4姜中占主体,Y5姜中倍半萜类化合物占主体;不同年份挥发油成分的相对含量存在差异,经主成分和聚类热图分析,Y4、Y5与Y1~Y3的姜可聚为两大类。对PC1贡献度较高依次为异丁酸苯乙酯、水合莰烯、莰烯、β-芹子烯;对PC2贡献度较高依次为荜澄茄油烯醇、大根香叶烯B、环氧石竹烯、橙花叔醇。经LC-TOF-MS检出数据显示,苦味成分高良姜素在Y3、Y4姜中(10.58±0.25 mg/g和10.45±0.12 mg/g)显著高于其余年份(P<0.05),辣味成分二苯基庚烷A(Diphenylheptane A,DHPA)在Y2姜中(3.74±0.10 mg/g)显著高于其余年份(P<0.05)。根据相关性分析,不同年份高良姜性状与特征风味物质之间呈正相关性,性状与年份相关性显著(P<0.05),特征香气与性状相关极显著(P<0.01);滋味成分高良姜素与DHPA仅彼此显著相关(P<0.05)。以上结果有助于指导高良姜的精准采收和高质化应用。

     

    Abstract: Alpinia officinarum Hance (galangal) was a perennial herb. In order to study the correlation between characteristics and flavor components of galangal in different years, samples from five different years (1 to 5 years, Y1~Y5) were collected to analyze the changes such as thickness, size, hardness and powder amount during growth. The flavor components were determined by gas chromatography mass spectrometry (GC-MS) and liquid chromatography time-of-flight mass spectrometry (LC-TOF MS) and analyzed statistically. The results showed that the volume of galangal in Y4 was significantly (P<0.05) larger than that in other years, and the hardness and powder amount increased with the growth cycle. The extraction rate of galangal oil (2.58±0.07 mL/100 g) and extraction amount (1.32±0.04 mL) of Y4 were significantly (P<0.05) higher than those of other years. A total of 46 volatile compounds including monoterpenes, oxygen-containing monoterpenes, sesquiterpenes, oxygen-containing sesquiterpenes and ketone esters were identified by GC-MS. The content of eucalyptol (15.52%~22.85%) was the highest. Oxygen-containing monoterpenes were mainly compounds in volatile oil of Y1~Y4 galangal, and sesquiterpenes were mainly compounds in volatile oil of Y5 galangal. There were significant differences in the relative content of volatile oil components in different years. Galangal in Y4, Y5 and Y1~Y3 could be clustered into two groups by principal component and cluster heat map analysis. The highest contribution to PC1 included phenethyl isobutyrate, camphene hydrate, camphene and β-selinene. The higher contribution to PC2 included cubenol, germacrene B, epoxycaryophyllene and nerolidol. The data detected by LC-TOF-MS were showed that the content of the bitter component galangin in Y3 and Y4 (10.58±0.25 mg/g, 10.45±0.12 mg/g) was significantly (P<0.05) higher than that in other years, and the content of spicy component diphenylheptane A (DHPA) in Y2 (3.74±0.10 mg/g) was significantly (P<0.05) higher than that in other years. According to the correlation analysis, there was a positive correlation between the characters and the flavor components in different years. The characters were closely correlated with the year (P<0.05), and the characteristic aroma was significantly correlated with the characters (P<0.01). The flavor galangin and DHPA were only significantly correlated with each other (P<0.05). The above results are helpful to guide the accurate harvest and high quality application of galangal.

     

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