Evolution of the analytical signal in electrochemistry from electrocapillary curve to a digital electrochemical pattern of a multicomponent sample

IF 2.9 Q2 ELECTROCHEMISTRY Electrochemical science advances Pub Date : 2022-02-24 DOI:10.1002/elsa.202100212
Sergey Volodarovich Sokolkov
{"title":"Evolution of the analytical signal in electrochemistry from electrocapillary curve to a digital electrochemical pattern of a multicomponent sample","authors":"Sergey Volodarovich Sokolkov","doi":"10.1002/elsa.202100212","DOIUrl":null,"url":null,"abstract":"<p>The number of publications on the electrochemical analysis of liquids increases year by year. The growth of publication activity is largely due to the development of new biosensors and the introduction of nanomaterials into the practice of electrochemical analysis. It is not the task of the author to review the entire array of publications, since the basic principles of electrochemical analysis in most publications remain practically unchanged. The purpose of this critical review is to find answers to two important questions for the development of electroanalysis. First, are all of the used electrochemical methods providing a measurement in the strict metrological sense of this term? That is, do they provide the necessary accuracy, validity, reliability, and reproducibility of the measurement results? Secondly, is electroanalytics capable of meeting the challenge of the information revolution by significantly increasing the information efficiency of each individual measurement? To answer these questions, we will identify the main sources of sensor signal noise by considering the electrochemical sensor as the primary decoder of “chemical information” into an analytical signal. Then we will evaluate the information efficiency of various measurement methods by using the approach of thermodynamics of information processes and considering a sensor as an open thermodynamic system.</p>","PeriodicalId":93746,"journal":{"name":"Electrochemical science advances","volume":"3 3","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/elsa.202100212","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrochemical science advances","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/elsa.202100212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ELECTROCHEMISTRY","Score":null,"Total":0}
引用次数: 2

Abstract

The number of publications on the electrochemical analysis of liquids increases year by year. The growth of publication activity is largely due to the development of new biosensors and the introduction of nanomaterials into the practice of electrochemical analysis. It is not the task of the author to review the entire array of publications, since the basic principles of electrochemical analysis in most publications remain practically unchanged. The purpose of this critical review is to find answers to two important questions for the development of electroanalysis. First, are all of the used electrochemical methods providing a measurement in the strict metrological sense of this term? That is, do they provide the necessary accuracy, validity, reliability, and reproducibility of the measurement results? Secondly, is electroanalytics capable of meeting the challenge of the information revolution by significantly increasing the information efficiency of each individual measurement? To answer these questions, we will identify the main sources of sensor signal noise by considering the electrochemical sensor as the primary decoder of “chemical information” into an analytical signal. Then we will evaluate the information efficiency of various measurement methods by using the approach of thermodynamics of information processes and considering a sensor as an open thermodynamic system.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
电化学分析信号从电毛细管曲线到多组分样品数字电化学模式的演变
关于液体电化学分析的出版物逐年增加。出版活动的增长主要是由于新的生物传感器的发展和纳米材料引入电化学分析的实践。作者的任务不是审查所有的出版物,因为电化学分析的基本原理在大多数出版物中几乎没有改变。这篇评论的目的是为电分析的发展找到两个重要问题的答案。首先,是否所有使用的电化学方法都提供了严格的计量意义上的测量?也就是说,它们是否提供测量结果的必要准确性、有效性、可靠性和可重复性?其次,电分析是否能够通过显著提高每项测量的信息效率来应对信息革命的挑战?为了回答这些问题,我们将通过将电化学传感器视为“化学信息”转化为分析信号的主要解码器来确定传感器信号噪声的主要来源。然后,我们将利用信息过程热力学的方法,并将传感器视为一个开放的热力学系统,来评估各种测量方法的信息效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
Electrochemical Contributions: Svante August Arrhenius (1859–1927) Round-robin test of all-solid-state battery with sulfide electrolyte assembly in coin-type cell configuration Explainable AI for optimizing oxygen reduction on Pt monolayer core–shell catalysts Exploitation of carbon surface functionality toward additive-free formation of gold nanocuboids suitable for sensitive assay of N-acetylcysteine in pharmaceutical formulations Optimization of operational parameters using central composite design in the peroxi-alternating current-electrocoagulation process for the pollutant removal with determination of power consumption from industrial wastewater
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1