Automated system for performing pH-based titrations

IF 1.3 4区 工程技术 Q4 CHEMISTRY, ANALYTICAL Instrumentation Science & Technology Pub Date : 2023-02-27 DOI:10.1080/10739149.2023.2180031
Nagarjuna Boppana, Robyn A. Snow, Paul S. Simone, G. L. Emmert, Michael A. Brown
{"title":"Automated system for performing pH-based titrations","authors":"Nagarjuna Boppana, Robyn A. Snow, Paul S. Simone, G. L. Emmert, Michael A. Brown","doi":"10.1080/10739149.2023.2180031","DOIUrl":null,"url":null,"abstract":"Abstract Liquid delivery and endpoint determination during titrations may be problematic if an analyst does not have adequate training or formal education. This can lead to issues with method accuracy and precision. This work is focused on the development of a simple, low-cost, automated system capable of performing potentiometric titrations with a push of a button. A single-board computer (Raspberry Pi), a stepper motor-based syringe pump, and a commercially available pH sensor circuit board were the primary components used to construct the auto-titrator system. Open-source Python programming language was used to control and coordinate components and provide a simple-to-use graphical user interface. A standard alkalinity method for drinking and raw water was evaluated and yielded an accuracy (recovery) between 92% and 104% for concentrations above 10 mg L−1. The precision of the method was less than 5% regardless of concentration. The developed titrator was tested at Lebanon, TN, and Woodruff, SC water treatment plants. The system was also certified by LabtronX to perform alkalinity measurements in Lebanon, TN, and served the plant operators for the past two years.","PeriodicalId":13547,"journal":{"name":"Instrumentation Science & Technology","volume":"51 1","pages":"574 - 590"},"PeriodicalIF":1.3000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Instrumentation Science & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10739149.2023.2180031","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract Liquid delivery and endpoint determination during titrations may be problematic if an analyst does not have adequate training or formal education. This can lead to issues with method accuracy and precision. This work is focused on the development of a simple, low-cost, automated system capable of performing potentiometric titrations with a push of a button. A single-board computer (Raspberry Pi), a stepper motor-based syringe pump, and a commercially available pH sensor circuit board were the primary components used to construct the auto-titrator system. Open-source Python programming language was used to control and coordinate components and provide a simple-to-use graphical user interface. A standard alkalinity method for drinking and raw water was evaluated and yielded an accuracy (recovery) between 92% and 104% for concentrations above 10 mg L−1. The precision of the method was less than 5% regardless of concentration. The developed titrator was tested at Lebanon, TN, and Woodruff, SC water treatment plants. The system was also certified by LabtronX to perform alkalinity measurements in Lebanon, TN, and served the plant operators for the past two years.
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
用于执行ph基滴定的自动化系统
摘要如果分析员没有受过足够的培训或正规教育,滴定过程中的液体输送和终点确定可能会出现问题。这可能会导致方法的准确性和精密度出现问题。这项工作的重点是开发一种简单、低成本、自动化的系统,该系统能够通过按下按钮进行电位滴定。单板计算机(Raspberry Pi)、基于步进电机的注射泵和市售pH传感器电路板是用于构建自动滴定仪系统的主要组件。开源Python编程语言用于控制和协调组件,并提供易于使用的图形用户界面。对饮用水和原水的标准碱度方法进行了评估,并得出浓度高于10的准确度(回收率)在92%和104%之间 mg L−1。无论浓度如何,该方法的精密度均低于5%。开发的滴定仪在黎巴嫩、TN和Woodruff、SC水处理厂进行了测试。该系统还获得了LabtronX的认证,可以在黎巴嫩TN进行碱度测量,并在过去两年为工厂运营商提供服务。
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
Instrumentation Science & Technology
Instrumentation Science & Technology 工程技术-分析化学
CiteScore
3.50
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Instrumentation Science & Technology is an internationally acclaimed forum for fast publication of critical, peer reviewed manuscripts dealing with innovative instrument design and applications in chemistry, physics biotechnology and environmental science. Particular attention is given to state-of-the-art developments and their rapid communication to the scientific community. Emphasis is on modern instrumental concepts, though not exclusively, including detectors, sensors, data acquisition and processing, instrument control, chromatography, electrochemistry, spectroscopy of all types, electrophoresis, radiometry, relaxation methods, thermal analysis, physical property measurements, surface physics, membrane technology, microcomputer design, chip-based processes, and more. Readership includes everyone who uses instrumental techniques to conduct their research and development. They are chemists (organic, inorganic, physical, analytical, nuclear, quality control) biochemists, biotechnologists, engineers, and physicists in all of the instrumental disciplines mentioned above, in both the laboratory and chemical production environments. The journal is an important resource of instrument design and applications data.
期刊最新文献
Determination of hepatitis B virus (HBV) DNA in serum by nucleic acid screening Nanostructure silver absorbance with polarized light spectroscopy (PLS) and mobile imaging Self-regulating pen-needle-based micronozzle for printing array of nanoliter droplets under fluorinated liquid Assembly and characterization of an optical fiber probe for use in a portable Raman spectrometer A pulsed current set-up for use in magnetic fields above 30 T; application to high-temperature superconductors
×
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