电化学合成实验中氨氮定量的超精密尺。

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Yao Hu, Donghui Wang, Bo Hu, Haihui Lan, Wen Zhong, Qi Wang, Huicong Xia, Mingde Yao, Mingqing Chen and Mingliang Du
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引用次数: 0

摘要

电化学合成氨领域取得了迅速的发展,吸引了大量的科学家为这一领域的研究做出贡献。在此过程中,氨的准确检测是评价电催化剂效率和选择性的关键。在本研究中,我们系统地研究了吲酚蓝法检测氨,考察了溶液pH、硝酸盐浓度、金属离子浓度等关键因素对测量精度的影响。在实验优化和数学算法的基础上,提出了一种基于自定义代码支持的迭代优化方法。该方法可自动生成和调整校准曲线,减少了测量误差,提高了检测精度,为电化学合成中氨等小分子的定量检测提供了有价值的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultra-precise ruler for ammonia nitrogen quantification in electrochemical synthesis experiments†

Ultra-precise ruler for ammonia nitrogen quantification in electrochemical synthesis experiments†

The field of electrochemical ammonia synthesis has made rapid advancements, attracting a large number of scientists to contribute to this area of research. Accurate detection of ammonia is crucial in this process for evaluating the efficiency and selectivity of electrocatalysts. In this study, we systematically investigate the indophenol blue method for ammonia detection, examining the effects of key factors such as solution pH, nitrate concentration, and metal ion concentration on measurement accuracy. Based on experimental optimization and mathematical algorithms, we propose an iterative refinement method supported by custom-developed code. This method automates the generation and adjustment of calibration curves, reduces measurement errors, and enhances detection precision, offering a valuable framework for the quantitative detection of ammonia and other small molecules in electrochemical synthesis.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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