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dc.contributor.authorGiner-Sanz, Juan José
dc.contributor.authorLeverick, Graham M.
dc.contributor.authorGiordano, Livia
dc.contributor.authorPérez-Herranz, Valentín
dc.contributor.authorShao-Horn, Yang
dc.date.accessioned2024-04-25T19:27:18Z
dc.date.available2024-04-25T19:27:18Z
dc.date.issued2022-05-19
dc.identifier.issn2754-2734
dc.identifier.urihttps://hdl.handle.net/1721.1/154288
dc.description.abstractThe 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).en_US
dc.language.isoen
dc.publisherThe Electrochemical Societyen_US
dc.relation.isversionof10.1149/2754-2734/ac6a68en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceThe Electrochemical Societyen_US
dc.titleAlkali Metal Salt Interference on the Salicylate Method for Quantifying Ammonia from Nitrogen Reductionen_US
dc.typeArticleen_US
dc.identifier.citationJuan José Giner-Sanz et al 2022 ECS Adv. 1 024501.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.relation.journalECS Advancesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-04-25T19:19:10Z
dspace.orderedauthorsGiner-Sanz, JJ; Leverick, GM; Giordano, L; Pérez-Herranz, V; Shao-Horn, Yen_US
dspace.date.submission2024-04-25T19:19:12Z
mit.journal.volume1en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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