使用轨道式质谱仪对土壤氨基化合物进行全面和超敏感的同位素校准方法
Tao Li1,2, Yuhua Li1,2, Erika Salas1,2
1Division of Terrestrial Ecosystem Research, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Djerassiplatz 1, A-1030 Vienna, Austria.
Analytical chemistry
|June 12, 2025
概括
这项研究开发了一种用于量化土壤氨基化合物同位素丰富的预测模型,这对于理解循环至关重要. 该模型准确地预测了缺乏标记标准的化合物的校准曲线,改进了土壤有机分析.
科学领域:
- 环境化学环境化学
- 土壤科学 土壤科学
- 生物地质化学生物地质化学
背景情况:
- 结合氨基化合物是土壤有机物中的关键源 (约. 40%). 在这个问题上.
- 准确分析它们的同位素丰富是具有挑战性的,因为低水平和缺乏标记标准.
研究的目的:
- 通过使用13C标记标准,为16种氨基化合物建立同位素校准曲线.
- 为缺乏标记标准的氨基化合物生成校准曲线开发预测模型.
- 在土壤样本中验证预测模型的准确性和适用性.
主要方法:
- 使用的6 - 氨基诺基诺利尔-N-氧糖胺基碳酸盐 (AQC) 衍生物化.
- 采用超高性能液体染色学与高分辨率轨道实验仪质谱学 (UPLC-Orbitrap MS).
- 开发了回归方程,将校准术语与物理化学性质联系起来,用于预测.
主要成果:
- 为16种氨基化合物建立了可靠的同位素校准曲线 (R2>0.990).
- 成功预测了未标记化合物的校准曲线 (例如,muramic acid) 的高精度 (R2 > 0.97).
- 证明了该模型在低13C修改的土壤样本中具有低检测极限的适用性.
结论:
- 一个通用的预测模型可以全面量化土壤氨基化合物中的同位素丰富.
- 这有助于理解循环和各种有机池的命运.
- 该模型支持在复杂的环境系统中详细分析氨基糖和各种氨基酸.
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