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]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
tier3完成签到,获得积分10
1秒前
HCLonely应助冷傲的迎南采纳,获得10
1秒前
pluto应助AAA郭哥汽修采纳,获得10
2秒前
cyrong发布了新的文献求助10
2秒前
5秒前
领导范儿应助越幸运采纳,获得10
6秒前
张瀚文完成签到,获得积分10
7秒前
Hello应助xiehexin采纳,获得20
7秒前
lin发布了新的文献求助10
8秒前
道友且慢完成签到,获得积分10
8秒前
9秒前
lily完成签到,获得积分10
9秒前
Hello应助朱瑶君采纳,获得10
9秒前
冷傲山彤发布了新的文献求助10
10秒前
12秒前
田様应助简简单单采纳,获得10
12秒前
lily发布了新的文献求助10
14秒前
瑾瑾完成签到,获得积分10
15秒前
Friday发布了新的文献求助10
15秒前
iFaceDOG关注了科研通微信公众号
16秒前
独特的友琴完成签到 ,获得积分10
17秒前
18秒前
小研发布了新的文献求助10
19秒前
小马完成签到,获得积分10
19秒前
羞涩的念寒完成签到,获得积分20
20秒前
20秒前
爆米花应助xiehexin采纳,获得10
20秒前
冷傲芷雪完成签到 ,获得积分10
21秒前
23秒前
jackwang完成签到,获得积分10
24秒前
贺豪完成签到 ,获得积分10
25秒前
皇额娘她推了熹娘娘完成签到 ,获得积分10
25秒前
脑洞疼应助小研采纳,获得10
25秒前
朱瑶君发布了新的文献求助10
25秒前
ferrycake应助阿伦艾弗森采纳,获得20
26秒前
吴昊发布了新的文献求助10
26秒前
26秒前
orixero应助Bilipear采纳,获得10
27秒前
28秒前
xiongqi发布了新的文献求助10
28秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Cognitive Paradigms in Knowledge Organisation 1000
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3306889
求助须知:如何正确求助?哪些是违规求助? 2940724
关于积分的说明 8498169
捐赠科研通 2614869
什么是DOI,文献DOI怎么找? 1428544
科研通“疑难数据库(出版商)”最低求助积分说明 663445
邀请新用户注册赠送积分活动 648283