Resumen:
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[EN] 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, ...[+]
[EN] 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).
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Agradecimientos:
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This work was supported by the Toyota Research Institute through the Accelerated Materials Design and Discovery program.J.J.G.S. is very grateful to the Generalitat Valenciana and to the European Social Fund, for their ...[+]
This work was supported by the Toyota Research Institute through the Accelerated Materials Design and Discovery program.J.J.G.S. is very grateful to the Generalitat Valenciana and to the European Social Fund, for their economic support in the form of a Vali+d postdoctoral fellowship (APOSTD-2018-001); and to the Ministerio de Ciencia e Innovación, to the Next Generation EU, and to the Agencia Estatal de Investigación, for their support by a Juan de la Cierva-Incorporación fellowship IJC2020-044087-I funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. G.M.L. was partially supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) PGS-D and a Siebel Scholarship (Class of 2020). The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.
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