Suppr超能文献

采用气相色谱 - 电子捕获检测器(GC - ECD)和顶空固相微萃取 - 气相色谱 - 质谱联用(HS - SPME - GC - MS)技术进行啤酒挥发性成分分析的方法开发。

Method development by GC-ECD and HS-SPME-GC-MS for beer volatile analysis.

作者信息

da Silva Gisele C, da Silva Abner A S, da Silva Larissa S N, Godoy Ronoel Luiz de O, Nogueira Luciana C, Quitério Simone L, Raices Renata S L

机构信息

Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Mestrado Profissional em Ciência e Tecnologia de Alimentos (PCTA), Rua Senador Furtado, 121, 20270-021 Rio de Janeiro, RJ, Brazil.

Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Mestrado Profissional em Ciência e Tecnologia de Alimentos (PCTA), Rua Senador Furtado, 121, 20270-021 Rio de Janeiro, RJ, Brazil.

出版信息

Food Chem. 2015 Jan 15;167:71-7. doi: 10.1016/j.foodchem.2014.06.033. Epub 2014 Jun 16.

Abstract

Two methods for the extraction, identification and quantification of the highest occurrence and lowest perception threshold off-flavours in fifteen different samples of Brazilian Pilsner beers were developed. For this purpose, headspace solid phase microextraction in combination with a gas chromatography coupled to a mass spectrometric detection (HS-SPME-GC-MS) as well as headspace extraction in combination with a gas chromatography coupled to electron capture detection (HS-GC-ECD) were evaluated. The first and the second methods were used for esters and vicinal diketones analysis, respectively. All data were comprehended below the taster's threshold detection limit: ethyl acetate 39.48 ng mL(-1) (RSD mean value 4.2%), isoamyl acetate 3.88 ng mL(-1) (RSD mean value 3.4%), ethyl hexanoate 0.61 ng mL(-1) (RSD mean value 3.1%) and 2,3-butanedione 0.10 ng mL(-1) (RSD mean value 2.9%). The validated method demonstrated to be useful for the analysis of highest incidence beer off-flavours.

摘要

开发了两种用于提取、鉴定和定量巴西比尔森啤酒15个不同样品中出现频率最高和感知阈值最低的异味的方法。为此,对顶空固相微萃取结合气相色谱-质谱检测(HS-SPME-GC-MS)以及顶空萃取结合气相色谱-电子捕获检测(HS-GC-ECD)进行了评估。第一种和第二种方法分别用于酯类和连二酮类分析。所有数据均低于品尝者的阈值检测限:乙酸乙酯39.48 ng mL(-1)(相对标准偏差平均值4.2%)、乙酸异戊酯3.88 ng mL(-1)(相对标准偏差平均值3.4%)、己酸乙酯0.61 ng mL(-1)(相对标准偏差平均值3.1%)和2,3-丁二酮0.10 ng mL(-1)(相对标准偏差平均值2.9%)。经验证的方法证明对分析啤酒中出现频率最高的异味很有用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验