Instituto de Ciências Exatas e Tecnológicas, Universidade Feevale, ICET, RS 239, 2755 Novo Hamburgo, Rio Grande do Sul 93352-000, Brazil.
Anal Bioanal Chem. 2011 Nov;401(8):2351-60. doi: 10.1007/s00216-011-5247-1. Epub 2011 Aug 9.
The identification of compounds by using gas chromatography (GC) in samples with significant complexity comprising a range of isomeric species, where characterization is based on peak retention times and mass spectra, generates uncertainty for the analyst. This leads to identification errors. The most reliable way to confirm the identification of each compound is based on authentic standard co-injection, which in several cases is economically prohibitive, and often unachievable in the time available for analysis. Retention index procedures are important tools to minimize misidentification of compounds in conventional chromatography. The introduction of comprehensive two-dimensional GC (GC × GC) for analysis of complex samples was a decisive step to increase the analytical capacity of chromatographic techniques. For many samples, the chromatographic resolution increase leads to quantitative expansion in the number of peaks identified, compared with conventional GC analysis. Notwithstanding this improved resolution, limitations still persist in correct peak identification, which suggests the use of retention indices may assist in supporting component identification in this important technique. In this work, approaches to use of the retention index in GC × GC are discussed, based on an evaluation of the literature in this area. Interpretation of effective chain length data for fatty acid methyl esters in the first and second dimensions is presented.
使用气相色谱（GC）在包含一系列同分异构体的具有显著复杂性的样品中鉴定化合物，其特征基于峰保留时间和质谱，这会给分析人员带来不确定性。这会导致鉴定错误。确认每种化合物鉴定的最可靠方法是基于真实标准的共注射，这在某些情况下在经济上是不可行的，并且在可用于分析的时间内通常是无法实现的。保留指数程序是最小化常规色谱中化合物误识别的重要工具。全面二维气相色谱（GC×GC）用于复杂样品分析的引入是增加色谱技术分析能力的决定性步骤。对于许多样品，与常规 GC 分析相比，色谱分辨率的提高导致鉴定的峰数量在数量上呈定量扩展。尽管分辨率得到了提高，但在正确的峰识别方面仍然存在限制，这表明使用保留指数可能有助于支持该重要技术中的组分识别。在这项工作中，根据该领域的文献评估，讨论了在 GC×GC 中使用保留指数的方法。介绍了在第一维和第二维中脂肪酸甲酯的有效链长数据的解释。
