1. A novel multi-set differential pulse voltammetry technique for improving precision in electrochemical sensing.
- Author
-
Kashyap B and Kumar R
- Subjects
- Electrochemical Techniques, Electrodes, Pharmaceutical Preparations, Plant Growth Regulators, Salicylic Acid, Biosensing Techniques
- Abstract
Over the years, electrochemical sensors have achieved high levels of sensitivity due to advancements in electrical circuits and systems, and calibration standards. However, little has been explored towards developing ways to minimize random errors and improve the precision of electrochemical sensors. In this work, a novel electrochemical method derived from differential pulse voltammetry termed multi-set differential pulse voltammetry (MS-DPV) is proposed with the goal of reducing random errors in chemical- and bio-sensors and thereby improve precision. The proposed MS-DPV improves precision without the need to replicate measurements. Therefore, saving energy use, time consumed, and/or materials required. The method is especially suited for portable or in-field sensing solutions that have strict constraints on sampling, time and energy use. To realize the proposed method, a custom designed plug-and-play-type electrochemical sensing system was employed which was then used for detecting salicylic acid (SA). SA is a key phytohormone deployed during defense responses in plants against biotic stresses. Additionally, SA is widely used in the pharmaceutical and healthcare industry due to its anti-inflammatory and analgesic properties. Using a "4-set-DPV", an error reduction of up to 12% was observed in SA detection when compared to conventional differential pulse voltammetry. In general, the error variance reduces linearly with the number of readings taken in a single scan of the proposed MS-DPV., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2022
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