Electrodeposition of silver amalgam particles on screen-printed silver electrodes in voltammetric detection of 4-nitrophenol, bovine serum albumin and artificial nucleosides dTPT3 and d5SICS

The establishment of an accurate and efficient method for the sensitive detection of protein concentrations in fluids using miniaturized electrochemical sensors is presented. As protein levels in wounds can be utilized to assess the status and severity of a wound and determine the best course of treatment, real time quantification is potentially extremely valuable. The experimental methodology for monitoring protein concentrations using screen printed carbon electrodes (SPCEs) that requires minimal sample size (as small as 80 µL) for each measurement is presented. The technique was modelled and implemented using bovine serum albumin (BSA) concentrations from 0.3 to 30 mg/ml and was used to detect changes in concentration. The results demonstrated a good stability and reproducibility when making measurements on different protein concentrations. This technique was tested and verified using two different types of screen printed carbon electrodes (SPCEs), while both consist of three electrode electro-chemical cell, one has an added Poly-L-Lysine coating to anchor protein and improve efficiency. The objective of this work was to establish for the first time a device with the necessary mathematical model that can be used by clinicians to assess the severity of the wound through measuring the protein concentration.

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Empirical Model for Identifying Protein Concentrations in Wound Using Cyclic Voltammetry

El-Saboni

Hunt

Moffatt³

et al. 2021

IEEE Sens. Lett.

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Electrodeposition of silver amalgam particles on screen-printed silver electrodes in voltammetric detection of 4-nitrophenol, bovine serum albumin and artificial nucleosides dTPT3 and d5SICS

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References 36 publications

Empirical Model for Identifying Protein Concentrations in Wound Using Cyclic Voltammetry

Empirical Model for Identifying Protein Concentrations in Wound Using Cyclic Voltammetry

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