Journal
BIOSENSORS & BIOELECTRONICS
Volume 216, Issue -, Pages -Publisher
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114628
Keywords
Biosensors; Electrochemistry; Healthcare; Potentiostat; Sensor; Data analytics
Categories
Funding
- National Science Foundation [NSF-CSSI-2004766, NSF-PFI-2141084]
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This paper proposes a novel electro-chemical method, MS-DPV, to reduce random errors and improve the precision of electrochemical sensors. The method improves precision without the need for replicating measurements and is suitable for portable or in-field sensing solutions with constraints on sampling, time, and energy use.
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 electro-chemical 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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