Namara Kevin Mac, Howell Jessalin, Huang Yongli, Robbat Albert
Irish Distillers - Pernod Ricard, Midleton Distillery, Midleton, Cork, Ireland.
J Chromatogr A. 2007 Sep 14;1164(1-2):281-90. doi: 10.1016/j.chroma.2007.07.042. Epub 2007 Jul 25.
The composition of essential oils and their mixtures used to formulate gin is usually too complex to separate all sample components by standard capillary gas chromatography (GC). In particular, minor constituents that possess important organoleptic properties can be masked by co-elution with major sample components. A solution is provided that combines gas chromatography/mass spectrometry (GC/MS) with "interactive" spectral deconvolution software. Sequential two-dimensional (2D) GC/MS is used to produce a target compound library, with orthogonal GC-GC providing the separation power required to obtain peak retention times and the corresponding mass spectra needed for the deconvolution database. The combination of these two techniques, mass spectral deconvolution and automated sequential 2D-GC/MS, offers a very effective synergy for both identifying key constituents that determine the perception of flavor and aroma and the quality control needed to analyze mixtures of complex essential oils.
用于调配杜松子酒的精油及其混合物的成分通常过于复杂,难以通过标准毛细管气相色谱法(GC)分离所有样品成分。特别是,具有重要感官特性的次要成分可能会因与主要样品成分共洗脱而被掩盖。本文提供了一种将气相色谱/质谱联用(GC/MS)与“交互式”光谱去卷积软件相结合的解决方案。采用顺序二维(2D)GC/MS生成目标化合物库,正交GC-GC提供获得解卷积数据库所需的峰保留时间和相应质谱图所需的分离能力。质谱去卷积和自动顺序二维GC/MS这两种技术的结合,为识别决定风味和香气感知的关键成分以及分析复杂精油混合物所需的质量控制提供了非常有效的协同作用。