Alkali Metal Salt Interference on the Salicylate Method for Quantifying Ammonia from Nitrogen Reduction
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Giner-Sanz_2022_ECS_Adv._1_024501.pdf
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Published version
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1.09 MB
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Author(s) • • • •
Giner-Sanz, Juan José
Leverick, Graham M.
Giordano, Livia
Pérez-Herranz, Valentín
Shao-Horn, Yang
Date Issued
May 19, 2022
Journal
ECS Advances
Publisher
The Electrochemical Society
Citation
Juan José Giner-Sanz et al 2022 ECS Adv. 1 024501.
Version
Final published version
Abstract
The salicylate method has been extensively used for quantifying ammonia in the emerging field of nitrogen (electro)fixation. Alkali metal salts are widely used as supporting electrolytes for nitrogen reduction, especially in the context of electrochemical nitrogen fixation. However, these salts are known to cause interferences on the salicylate method, introducing significant uncertainties in ammonia quantification. In this work, the interference of lithium, sodium and potassium chlorides, perchlorates and sulfates on the ammonia quantification results obtained using the salicylate method was experimentally quantified, and an empirical model was developed to capture the effect of the presence of these interferents on the ammonia quantification by the salicylate method. Based on the obtained experimental interference results, the tested interferents can be ranked from stronger interferent (i.e. lower admissible concentration) to weaker interferent: Li2SO4, KClO4, LiCl, LiClO4, K2SO4, NaClO4, NaCl, Na2SO4, KCl. The developed model can be used to assess the experimental error in ammonia quantification from nitrogen reduction, in samples containing these interferents. This model can be used to correct the interferences on the ammonia quantification, when the interferent concentration in a sample is known (or measurable).
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
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DOI of Published Version
https://doi.org/10.1149/2754-2734/ac6a68