2004
DOI: 10.1002/chin.200404015
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Amperometric Sensing of NOx with Cyclic Voltammetry.

Abstract: Electrochemical methods Electrochemical methods F 6000Amperometric Sensing of NO x with Cyclic Voltammetry. -A porous Au membrane working electrode in H 2 SO 4 is used with a counter electrode of bare Pt wire and a quasi-reference electrode of electrodeposited Pt on a Pt wire to measure the concentration of NO and NO2 in air by cyclic voltammetry techniques. The anodic peak current is proportional to the concentration of NO at various bias sweep rates. The limit of detection is about 4.8 ppm for NO in air and … Show more

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“…Henceforth, only the forward scan of CV in the range [-100:-600] mV has been employed, similar to ref. 25 , since it contains most of the information while the current profile at other potentials is not related to analyte redox reactions and could add noise to the system. Noting the different potentials associated with the detection of the analytes under study, current-potential profiles at -300, -400, and -500 mV were obtained for pure analytes and mixtures.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Henceforth, only the forward scan of CV in the range [-100:-600] mV has been employed, similar to ref. 25 , since it contains most of the information while the current profile at other potentials is not related to analyte redox reactions and could add noise to the system. Noting the different potentials associated with the detection of the analytes under study, current-potential profiles at -300, -400, and -500 mV were obtained for pure analytes and mixtures.…”
Section: Methodsmentioning
confidence: 99%
“…While the kinetics might be rather complicated, i.e. occurring processes might overlap and influence each other as shown for nitrogen oxides [23][24][25] and carbon dioxide reduction 26,27 one might lack the precision of identification of particular analyte, as in the case of an electrochemical sensor employing cyclic voltammetry for identification of inorganic and organic analytes in the mixtures. 28 Still, the use of the machine and deep learning in chemical identification can increase the precision as shown in some previous studies, 29,30 yet they were barely considered for mixtures of analytes.…”
Section: Introductionmentioning
confidence: 99%