A novel multi-set differential pulse voltammetry technique for improving precision in electrochemical sensing

微分脉冲伏安法 循环伏安法 采样(信号处理) 计算机科学 校准 准确度和精密度 生物系统 化学 电化学 数学 电极 统计 计算机视觉 物理化学 滤波器(信号处理) 生物
作者
Bhuwan Kashyap,Ratnesh Kumar
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:216: 114628-114628 被引量:20
标识
DOI:10.1016/j.bios.2022.114628
摘要

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.
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