尿素
假阳性悖论
检出限
电催化剂
化学
计算机科学
质谱法
污染
环境科学
环境化学
电化学
生化工程
色谱法
人工智能
工程类
生物
电极
物理化学
有机化学
生态学
作者
Tiange Yuan,Oleksandr Voznyy
标识
DOI:10.1016/j.xcrp.2023.101521
摘要
Electrochemical urea synthesis offers a promising green alternative to fossil fuel-based approaches to support the increasing global demand for nitrogen fertilizers. Unfortunately, conventional urea detection methods produce inconsistent and unreliable results, hindering progress in this field. Both false positives and negatives can be observed depending on environmental factors and interfering chemicals. In this regard, we propose new rigorous 13C nuclear magnetic resonance (NMR) and liquid chromatography-mass spectrometry (LC-MS) protocols for accurate urea detection to analyze catalyst activity in an accessible and reproducible manner. For 13C NMR, we show the importance of identifying HCO3−/CO32− interference, including proper control experiments and internal standards. We suggest LC-MS as an alternative to existing detection methods due to its low detection limit, short measurement time, and compatibility with both 15N and 13C isotope experiments.
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