A regression model for calculating the second dimension retention index in comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry

Bing Wang, Hao Shen, Aiqin Fang, De Shuang Huang, Changjun Jiang, Jun Zhang, Peng Chen

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC × GC/TOF-MS) system has become a key analytical technology in high-throughput analysis. Retention index has been approved to be helpful for compound identification in one-dimensional gas chromatography, which is also true for two-dimensional gas chromatography. In this work, a novel regression model was proposed for calculating the second dimension retention index of target components where n-alkanes were used as reference compounds. This model was developed to depict the relationship among adjusted second dimension retention time, temperature of the second dimension column and carbon number of n-alkanes by an exponential nonlinear function with only five parameters. Three different criteria were introduced to find the optimal values of parameters. The performance of this model was evaluated using experimental data of n-alkanes (C7-C31) at 24 temperatures which can cover all 0-6 s adjusted retention time area. The experimental results show that the mean relative error between predicted adjusted retention time and experimental data of n-alkanes was only 2%. Furthermore, our proposed model demonstrates a good extrapolation capability for predicting adjusted retention time of target compounds which located out of the range of the reference compounds in the second dimension adjusted retention time space. Our work shows the deviation was less than 9 retention index units (iu) while the number of alkanes were added up to 5. The performance of our proposed model has also been demonstrated by analyzing a mixture of compounds in temperature programmed experiments.

Original languageEnglish (US)
Pages (from-to)127-134
Number of pages8
JournalJournal of Chromatography A
Volume1451
DOIs
StatePublished - Jun 17 2016

Bibliographical note

Funding Information:
This work was supported by the National Science Foundation of China (Nos. 61472282 , 61300058 and 61271098 ) and Anhui Provincial Natural Science Foundation (No. 1508085MF129 ).

Keywords

  • GC × GC/TOF-MS
  • Regression model
  • Retention index
  • Retention time
  • Second dimension retention time

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