低温富集/GC-MS分析南丰蜜桔果肉成分的方法研究

Investigation on Identification of Nanfeng Orange Extracts by Low-temperature Enrichment Coupled with GC-MS

建立了低温富集/气相色谱-质谱测定南丰蜜桔果肉成分的方法。对样品前处理中的溶剂种类、冷冻温度以及冷冻时间进行了优化,最终确定低温富集的前处理条件:正己烷为萃取溶剂;冷冻温度为-40℃;冷冻时间选择1 h。结果表明,采用低温富集/GC-MS结合保留指数定性对南丰蜜桔果肉进行成分分析,共鉴别出64种主要成分,主要包括酯类、萜烯类、醇类以及烷烃类。将低温富集所得结果分别与常温液液萃取结果及文献结果进行比较,所建立的方法可选择性富集一些极性大、热稳定性较差、难挥发性的物质。

Low temperature enrichment coupled with GC-MS was established for the identification of fruit compounds in Nanfeng＇Oranges via optimization of solvent selection,frozen temperature and frozen time of sample pretreatment.The optimized conditions were as the follows：extraction solvent：n-hexane,frozen temperature：-40 ℃,frozen time：1 h.Under the optimal conditions,64 main compounds,including esters,terpenes,alcohols and alkanes compounds were identified with the help of retention indices.Compared with the results of traditional ambient liquid-liquid extraction and reported,the established method could present a selective enrichment for substances with polarity,poor thermal stabilitiy and difficult volatility.