Asymmetric Anion-selective Membrane Electrode for Determining Nitric Oxide Release Rates from Ppolymeric Films/Electrochemical Devices

Joanna Zajda , Natalie R. Crist , Elżbieta Malinowska , Mark E. Meyerhoff


A novel potentiometric method for the determination of nitric oxide (NO) is presented. The assessment of NO levels is based on the rapid reaction of NO with oxyhemoglobin, during which nitrate is formed and then detected potentiometrically using a polymeric membrane anion-selective electrode. The composition of the anion-selective membrane is optimized to eliminate the response to high levels of oxyhemoglobin reagent used to react with NO to form NO3 -. The practical utility of the method is demonstrated by determining the NO release rates from NO donor-doped polymeric films, as well as from a new electrochemical NO generation system within the range of 10 to 55×10-10mol·min-1. The values measured with the new assay system are shown to correlate well with a chemiluminescence reference method after accounting for the trapping efficiency of NO by the oxyhemoglobin solution.
Author Joanna Zajda (FC / IBC / DM)
Joanna Zajda,,
- Department Of Microbioanalytics
, Natalie R. Crist - [University of Michigan, Ann Arbor]
Natalie R. Crist,,
, Elżbieta Malinowska (FC / IBC / DM)
Elżbieta Malinowska,,
- Department Of Microbioanalytics
, Mark E. Meyerhoff - [University of Michigan, Ann Arbor]
Mark E. Meyerhoff,,
Journal seriesElectroanalysis, ISSN 1040-0397
Issue year2016
Publication size in sheets0.5
Keywords in Englishon-selective electrodes; Nitric oxide; Oxyhemoglobin
ASJC Classification1603 Electrochemistry; 1602 Analytical Chemistry
Languageen angielski
Zajda_et_al-2016-Electroanalysis.pdf 869.38 KB
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 31-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 31-01-2020, ArticleFromJournal
Publication indicators Scopus Citations = 1; WoS Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.724; WoS Impact Factor: 2016 = 2.851 (2) - 2016=2.431 (5)
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