Two-Dimensional Liquid Chromatography-Isotope Ratio Mass Spectrometry Opens New Possibilities in the Field of Compound-Specific Stable Isotope Analysis

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Sarah P. Rockel, Robert G. H. Marks, Klaus Kerpen, Maik A. Jochmann* and Torsten C. Schmidt, 
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Abstract

Compound-specific stable isotope analysis (CSIA) using liquid chromatography-isotope ratio mass spectrometry (LC-IRMS) is a powerful tool for determining the isotopic composition of carbon in analytes from complex mixtures. However, LC-IRMS methods are constrained to fully aqueous eluents. Previous efforts to overcome this limitation were unsuccessful, as the use of organic eluents in LC-IRMS was deemed impossible. In our study, we developed a two-dimensional (2D) LC-IRMS method that, for the first time, enables the use of organic-containing eluents in an LC-IRMS setting. Initial experiments with caffeine were performed using a sample loop modulator with 20% methanol in the mobile phase of the first dimension, while separating the organic fraction from the analyte in the second dimension. Comparing results with one-dimensional (1D) LC-IRMS methods showed high precision with δ13C values in 2D measurements (−34.98 ± 0.04 ‰) closely matching 1D results (−34.95 ± 0.12 ‰). In the next step, incorporation of an at-column dilution (ACD) modulator allowed for the successful use of methanol concentrations up to 40% in the first dimension, with the ACD modulator effectively mitigating both peak fronting and carbon background interference, without losing any precision or accuracy of the measurements (δ13CCaffeine = −34.92 ± 0.03 ‰). All developed methods showed a method detection limit lower than 5 mg of carbon L–1 (mgC L–1), which is a major improvement compared with previous studies on caffeine analysis with LC-IRMS. This proof-of-concept study on 2D-LC-IRMS opens vast new possibilities for future CSIA research across diverse fields, including environmental science, pharmaceuticals, and food chemistry.

Abstract Image

二维液相色谱-同位素比值质谱法在化合物特异性稳定同位素分析领域开辟了新的可能性
采用液相色谱-同位素比值质谱(LC-IRMS)的化合物特异性稳定同位素分析(CSIA)是测定复杂混合物中分析物碳同位素组成的有力工具。然而,LC-IRMS方法仅限于全水相洗脱液。由于在LC-IRMS中使用有机洗脱液被认为是不可能的,以前克服这一限制的努力是不成功的。在我们的研究中,我们开发了一种二维(2D) LC-IRMS方法,首次能够在LC-IRMS设置中使用含有机洗脱液。咖啡因的初始实验使用样品环路调制器,在第一维流动相中添加20%甲醇,同时在第二维中从分析物中分离有机部分。与一维(1D) LC-IRMS方法比较,结果表明二维测量的δ13C值(- 34.98±0.04‰)与一维测量的δ13C值(- 34.95±0.12‰)接近。在接下来的步骤中,加入一个柱前稀释(ACD)调制器,可以在第一个维度上成功地使用高达40%的甲醇浓度,ACD调制器有效地减轻了峰前和碳背景干扰,而不会失去测量的任何精度或准确性(δ13CCaffeine = - 34.92±0.03‰)。所建立的方法的检出限均低于5 mg碳L-1 (mgC L-1),与以往的LC-IRMS分析咖啡因的研究相比有了较大的改进。这项2D-LC-IRMS的概念验证研究为未来CSIA在不同领域的研究开辟了广阔的新可能性,包括环境科学、制药和食品化学。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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