2020
DOI: 10.1002/fsn3.1463
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Detection of dairy fouling by cyclic voltammetry and square wave voltammetry

Abstract: Fouling in food processing environment can cause the increase of production costs due to additional cleaning steps and risk of contamination of food products. There is a demand to introduce advanced techniques to detect fouling in food processing equipment. Cyclic voltammetry (CV) and square wave voltammetry (SWV) were probed in this work to detect the dairy fouling and the reconstructed dairy emulsion by platinum‐based interdigitated microelectrodes. The results demonstrated that both methods can potentially … Show more

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Cited by 7 publications
(2 citation statements)
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“…CV is used to investigate oxidation or reduction peaks, which are proportional to the amount of a chemical species that oxidizes or reduces the electrode. 196 Based on sulfide probe functionalized gold nanorods on the graphene oxide sheet modified on the surface of a glassy carbon electrode, the sensor detects miR-155 by DPV 128 (Fig. 11A).…”
Section: Electrochemistrymentioning
confidence: 99%
“…CV is used to investigate oxidation or reduction peaks, which are proportional to the amount of a chemical species that oxidizes or reduces the electrode. 196 Based on sulfide probe functionalized gold nanorods on the graphene oxide sheet modified on the surface of a glassy carbon electrode, the sensor detects miR-155 by DPV 128 (Fig. 11A).…”
Section: Electrochemistrymentioning
confidence: 99%
“…Moreover, the electrochemical methods based on square wave voltammetry arouse the interest of scientists for their features of high sensitivity, low cost, fast response, and easy miniaturization ( Chiavassa and La-Scalea, 2018 ; Frkonja-Kuczin et al, 2020 ). Therefore, the electrochemical sensors based on square wave voltammetry (SWV) could be a potential tool for the detection of tumor markers with high sensitivity, especially the electrochemical microsensors, which have been widely applied in the food inspection ( Fysun et al, 2020 ) and life science ( Taylor et al, 2019 ; Gładysz and Skibiński, 2020 ).…”
Section: Introductionmentioning
confidence: 99%