基于HS-SPME-GC-MS分析信息素(乙烯)处理对桑植白茶香气成分的影响OA
Analysis of the Effect of Pheromone(Ethylene)Treatment on Aroma Components of Sangzhi White Tea Based on HS-SPME-GC-MS
传统白茶加工依赖自然萎凋,存在香气成分形成不稳定及生产效率低等问题.试验研究提出一种融合鲜叶摇青处理与高通量信息素(A/B型)外源辅助调控新技术,通过摇青促进酶促氧化并结合信息素喷施调控香气代谢路径.基于HS-SPME-GC-MS分析结果显示,与传统工艺相比,信息素A(植物源复合物)处理组(W13)芳樟醇含量提升46.31%(11.31%vs CK3 7.73%);信息素B(0.25‰~2.25‰浓度)高浓度组(W223)2-戊基呋喃(3.11%)与苯乙醇(3.14%)显著增加,赋予白茶花果香特征.萎凋时间延长至18 h时香气成分总量提高 35%.这表明该技术可显著优化白茶香气品质,具备规模化生产潜力.
The Traditional processing of white tea relies on natural withering,which presents issues such as unstable formation of aroma component and low production efficiency.A novel technology integrating fresh leaf shaking with exogenous assistance using high-throughput pheromones(Type A/B)was proposed,in which enzyme-promoted oxidation was facilitated by shaking and aroma metabolic pathways were regulated through pheromone spraying.Analysis based on HS-SPME-GC-MS demonstrated that,compared with the traditional process,the linalool content in the pheromone A(plant-derived compound)treatment group(W13)was increased by 46.31%(11.31%vs CK3 7.73%).In the high-concentration pheromone B group(W223,0.25‰~2.25‰),significant increases in 2-pentylfuran(3.11%)and phenylethyl alcohol(3.14%)were observed,imparting floral and fruity aroma characteristics to the white tea.When withering time was extended to 18h,the total content of aroma components was increased by 35%.It was indicated that this technology can significantly optimize the aroma quality of white tea and possesses potential for large-scale production.
杨拥军;熊文惠;雷雨;周琳;刘杰;晏资元;周品谦;李赛君
湖南省农业科学院 茶叶研究所,湖南 长沙 410125||岳麓山实验室,湖南 长沙 410128湖南中医药大学 药学院,湖南 长沙 410208湖南省农业科学院 茶叶研究所,湖南 长沙 410125||岳麓山实验室,湖南 长沙 410128湖南省农业科学院 茶叶研究所,湖南 长沙 410125||岳麓山实验室,湖南 长沙 410128张家界原邦农牧发展有限公司,湖南 张家界 427100湖南省农业科学院 茶叶研究所,湖南 长沙 410125湖南省农业科学院 茶叶研究所,湖南 长沙 410125||岳麓山实验室,湖南 长沙 410128湖南省农业科学院 茶叶研究所,湖南 长沙 410125||岳麓山实验室,湖南 长沙 410128
轻工纺织
茶白茶信息素加工工艺摇青香气成分
TeaWhite teaPheromoneProcessing technologyShakingAroma component
《茶叶通讯》 2026 (1)
72-79,8
国家重点研发计划(2022YFD1600801),湖南省科技创新人才计划专项(2024RC8214)
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