3种萃取头对粉枝莓果实香气成分萃取效果

Three Coating Materials of SPME Fiber on Extraction of Aroma Compounds inRubus biflorusBuch

DOI:10.3969/j.issn.1673-1689.2018.11.012

中文关键词: 顶空固相微萃取 气-质联用 粉枝莓 香气成分

英文关键词: head space solid-phase micro-extraction(HS-SPME),GC-MS,Rubus biflorusBuch,aroma compounds

基金项目:

作者

单位

袁雷

西藏农牧学院 生物技术中心西藏 林芝 860000

钟政昌

西藏农牧学院 生物技术中心西藏 林芝 860000

刘瑜

西藏农牧学院食品科学学院西藏 林芝 860000

解博

西藏农牧学院食品科学学院西藏 林芝 860000

曹东星

西藏农牧学院食品科学学院西藏 林芝 860000

摘要点击次数: 96

全文下载次数: 120

中文摘要:

研究不同固相微萃取纤维头对粉枝莓果实香气成分的萃取效果及其香气成分的分析方法,为粉枝莓品质育种及其深加工提供一种简单、准确的研究方法。采用顶空固相微萃取-气相色谱/质谱检测成熟粉枝莓果实中的香气成分。在成熟粉枝莓果实中共检测到27种香气成分,主要成分为醇类、酯类、羧酸类、酮类和烯类化合物,分别占已检出香气成分总数的40.7%、29.6%、18.5%、7.4%、3.7%。85 μm PA纤维头检出的物质最多。3种纤维头均检出了橙花醇、橙花醛、香叶醇、香叶醛、香叶酸和月桂醇6种香气成分,其中橙花醇、橙花醛、香叶醇、香叶醛和香叶酸的含量相对较高,是粉枝莓果实的特征香气成分。85 μm PA纤维头较适用于粉枝莓香气成分的萃取,为粉枝莓品质育种及其深加工提供简单、准确的研究方法。

英文摘要:

In this paper the extraction of Rubus biflorus Buch aroma compounds with three coating materials of solid-phase micro-extraction(SPME) fiber and the automatic identification method for gas chromatography/mass spectrometry(GC/MS) data were researched. The aim of this experiment was to summarize a simple,accurate method for quality breeding and processing of strawberry. The aroma compounds inRubus biflorusBuch were detected by SPME-GC/MS. A total of 27 compounds were identified by using 3 fiber heads. The major constituents were alcohols,esters,carboxylic acids,ketones and terpenes,with the proportions of 40.7%,29.6%,18.5%,7.4%,3.7%,respectively. The 85 μm PA fiber showed high sensitivity and selectivity for the determination of aroma compounds. 3 kinds of fiber hends were found nerol,geraniol,neral and geranial,geranic acid and lauryl alcohol of 6 kinds of aroma components. Nerol,nerol,geraniol,geranial and geranic acid content is relatively high,is the characteristic aroma components of theRubus biflorusBuch fruit. 85 μm PA fiber is suitable for the extraction of aroma compounds of Rubus biflorus Buch. And provide a simple and accurate method for the study of Rubus biflorus Buch quality breeding and deep processing.

查看全文 查看/发表评论 下载PDF阅读器