基于傅里叶变换红外光谱（FTIR）、光腔衰荡光谱（CRDS）两种光谱技术,对氢燃料中痕量氨气的分析方法进行全面系统的探究。结果表明,两种方法在浓度为0.05~1.00 μmol/mol范围内均呈良好的线性关系,相关系数R2>0.999。傅里叶变换红外光（FTIR）与光腔衰荡光谱（CRDS）技术的正确度在-3%~4%之间,重复性（RSD）<6%,其检出限分别为2.70 nmol/mol与0.29 nmol/mol。用于氢燃料的分析方法须满足GB/T 43361—2023的要求,该研究首次根据GB/T 43361—2023对所提方法进行评价,结果表明上述光谱法均能满足氢燃料中痕量氨气的测量要求,可用于燃料电池用氢气中痕量氨气含量的快速准确检测。
Abstract
In this study, based on Fourier transform infrared spectroscopy （FTIR） and cavity ring-down spectroscopy （CRDS）, the performance of analytical methods for trace ammonia in hydrogen fuel was comprehensively and systematically investigated. The results showed that the two methods exhibited good linearity relationship was the concentration range of （0.05~1.0） μmol/mol, with correlation coefficient R2>0.999. The accuracy of the FTIR and CRDS methods was between -3% and 4%, and the repeatability （RSD） was<6%, and their detection limits were 2.7 nmol/mol and 0.29 nmol/mol, respectively. The analytical methods used for hydrogen fuel need to meet the requirements of GB/T 43361—2023, the method applicability of the methods was evaluated for the first time in this study according to GB/T 43361—2023, and the results showed that the above spectroscopic methods can meet the measurement requirements for trace ammonia in hydrogen fuel, and can be used for rapid and accurate detection of trace ammonia content in hydrogen used in fuel cells.
关键词
燃料电池 /
杂质 /
氨气 /
氢燃料 /
方法适用性 /
光谱法
Key words
fuel cells /
impurities /
ammonia /
hydrogen fuel /
method applicability /
spectroscopy method
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基金
四川省省级科研院所基本科研业务项目（2024JDKY0039）
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