Department of Electrical and Computer Engineering, Iowa State University, Ames, 50011, Iowa, USA.
Biosens Bioelectron. 2022 Nov 15;216:114628. doi: 10.1016/j.bios.2022.114628. Epub 2022 Aug 17.
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.
多年来，电化学传感器在电路和系统以及校准标准方面的进步使其实现了高灵敏度。然而，人们很少探索开发减少电化学传感器随机误差和提高精度的方法。在这项工作中，提出了一种源自差分脉冲伏安法的新型电化学方法，称为多组差分脉冲伏安法（MS-DPV），旨在减少化学和生物传感器中的随机误差，从而提高精度。所提出的 MS-DPV 无需重复测量即可提高精度。因此，节省了能源使用、时间消耗和/或所需材料。该方法特别适合对采样、时间和能源使用有严格限制的便携式或现场感测解决方案。为了实现所提出的方法，使用了定制设计的即插即用型电化学传感系统，然后该系统用于检测水杨酸（SA）。SA 是植物在抵御生物胁迫时防御反应中使用的关键植物激素。此外，由于其抗炎和镇痛特性，SA 在制药和医疗保健行业中得到了广泛应用。与传统的差分脉冲伏安法相比，使用“4 组-DPV”，在检测 SA 时，误差减少了高达 12%。一般来说，所提出的 MS-DPV 单次扫描中读取的读数越多，误差方差就会呈线性降低。
