4.8 Article

Two-Dimensional Retention Indices Improve Component Identification in Comprehensive Two-Dimensional Gas Chromatography of Saffron

期刊

ANALYTICAL CHEMISTRY
卷 87, 期 11, 页码 5753-5761

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.5b00953

关键词

-

资金

  1. National Natural Science Foundation of China [51173057]
  2. Australian Research Council [DP130100217]

向作者/读者索取更多资源

Comprehensive two-dimensional gas chromatography hyphenated with accurate mass time-of-flight mass spectrometry (GC X GC-accTOFMS) Was applied for improved analytical accuracy of saffron analysis, by using retention indices in the two-dimensional separation. This constitutes 3 dimensions of identification. In addition to accTOFMS specificity, and first dimension retention indices (I-1), a simple method involving direct multiple injections with stepwise isothermal temperature programming is described for construction of isovolatility curves for reference alkane series in GC X GC. This gives access to calculated second dimension retention indices (I-2). Reliability of the calculated I-2 was evaluated by using a Grob test mixture, and saturated alkanes, revealing good correlation between previously reported I values from the literature, with R-2 correlation being,0.9997. This essentially recognizes the retention property of peaks in the GC x GC 2D space as being reducible to a retention index in each. dimension, which should be a valuable tool supporting identification. The benefit of I-2 data, in supplementing I-1 and MS library matching, was clearly demonstrated by the progressive reduction of the number of possible compound matches for peaks observed in saffron: 114 analytes were assessed according to I-1 and I-2 values within +/- 20 index unit of reference values, and by MS. spectrum matching above a match,statistic of 750 (including mass accuracy of the molecular ion <20 ppm) and their possible identities derived. The described method provides a new avenue to utilize the full capability of the two-dimensional separation (GC X GC), in combination with MS library matching in complex sample analysis, to provide improved component identification.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据