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

Abstract

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.