番石榴叶中挥发油组分的固相微萃取分析

建立了一种应用顶空固相微萃取-气相色谱质谱分析番石榴叶中挥发油组分的方法。对固相微萃取纤维种类、萃取温度、萃取时间和样品溶液的离子强度进行了单因素优化试验,并得出了最优试验条件为:碳分子筛羧乙基/二乙烯基苯/聚二甲基硅氧烷(CAR/DVB/PDMS)萃取纤维,萃取温度65 ℃,萃取时间40 min,离子强度20%。该方法共鉴定出了47种组分,其中酮类化合物8种,醛类14种,酯类5种,醇类6种,烯烃类4种,酸类2种,剩余酚类等其他化合物8种。通过面积归一化法分析,鉴定出化合物结构的组分相对含量占总挥发油组分含量的93.97%。该方法为番石榴叶药用价值的研究提供方法及数据支持。

Analysis of volatile oil constitutes of guava leaves by solid phase microextraction

In this study, a method using headspace solid phase microextraction (HS-SPME) and gas chromatography-mass spectrometry (GC-MS) for the analysis of volatile oil in guava leaves was developed. Several factors, including types of SPME fiber, extraction temperature, extraction time, and ionic strength of the sample solution, were optimized using single-factor optimization strategy. The optimal conditions were as follows: CAR/DVB/PDMS extraction fiber, extraction temperature of 65 ℃, extraction time of 40 min, and ionic strength of 20%. A total of 47 chemical compounds were identified, including eight types of ketones, 14 types of aldehydes, five types of esters, six types of alcohols, four types of olefins,two types of acids, and others, such as phenols. The identified components account for 93.97% of the total chemical constitutes in guava leaves, calculated using the peak area normalization method. This method provides methods and data support for the study of the medicinal value of guava leaves.