...
首页> 外文期刊>Journal of separation science. >Reliable characterization of coffee bean aroma profiles by automated headspace solid phase microextraction-gas chromatography-mass spectrometry with the support of a dual-filter mass spectra library.
【24h】

Reliable characterization of coffee bean aroma profiles by automated headspace solid phase microextraction-gas chromatography-mass spectrometry with the support of a dual-filter mass spectra library.

机译:在双过滤器质谱库的支持下,通过自动顶空固相微萃取-气相色谱-质谱法可靠地表征咖啡豆的香气特征。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This investigation is based on the automated solid phase microextraction GC-MS analysis of the volatile fraction of a variety of coffee bean matrices. Volatile analytes were extracted by headspace (HS)-SPME which was achieved with the support of automated instrumentation. The research was directed towards various important aspects relating to coffee aroma analysis: monitoring of the volatile fraction formation during roasting; chromatographic differentiation of the two main coffee species (Arabica and Robusta) and of a single species from different geographical origins; evaluation of the influence of specific industrial treatments prior to roasting. Reliable peak assignment was carried out through the use of a recently laboratory-constructed "flavour and fragrance" library and a dual-filter MS spectral search procedure. Further emphasis was placed on the automated SPME instrumentation and on its ability to supply highly repeatable chromatographic data.
机译:该研究基于对各种咖啡豆基质中挥发性成分的自动固相微萃取GC-MS分析。通过顶空(HS)-SPME提取挥发性分析物,这是在自动化仪器的支持下实现的。该研究针对与咖啡香气分析相关的各个重要方面:监测烘焙过程中挥发性成分的形成;两种主要咖啡种类(阿拉伯咖啡和罗布斯塔咖啡)以及来自不同地理起源的单个咖啡品的色谱鉴别;焙烧之前评估特定工业处理的影响。可靠的峰分配是通过使用最近实验室建立的“风味和香气”文库和双过滤器MS光谱搜索程序进行的。进一步的重点放在了自动SPME仪器及其提供高度可重复的色谱数据的能力上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号