电位法PVC膜离子选择电极测定Sr(II)离子

Oguz Özbek
{"title":"电位法PVC膜离子选择电极测定Sr(II)离子","authors":"Oguz Özbek","doi":"10.1016/j.sintl.2022.100185","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, an ion–selective electrode was developed for the potentiometric determination of strontium ions. Membrane optimization studies showed that the most suitable membrane composition was 4.0% (<em>w</em>/<em>w</em>) synthesized ionophore, 63.0% (<em>w</em>/<em>w</em>) bis(2–ethylhexyl)sebacate (BEHS), 32.0% (<em>w</em>/<em>w</em>) poly(vinyl chloride; PVC) and 1.0% (<em>w</em>/<em>w</em>) potassium tetrakis(<em>p</em>–chlorophenyl)borate (KT<em>p</em>ClPB) in terms of potentiometric performance characteristics. The electrode, which exhibits a stable potentiometric behaviour, shows a linear response in the concentration range of 1.0 ​× ​10<sup>−5</sup> – 1.0 ​× ​10<sup>−1</sup> ​mol ​L<sup>−1</sup> ​(<em>R</em><sup>2</sup> ​= ​0.998). The electrode has a detection limit of 7.94 ​× ​10<sup>−6</sup> ​mol ​L<sup>−1</sup> and a fast response time of 7s. The electrode exhibits selectivity against Sr(II) ions in the presence of some cationic species and works without being affected by pH changes in the pH range of 6.0–9.0. The proposed electrode performs the determination of Sr(II) ions in water samples with high recoveries.</p></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666351122000304/pdfft?md5=02fce394bbf49750a0eab7aa04c5a2b3&pid=1-s2.0-S2666351122000304-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Potentiometric PVC membrane ion–selective electrode for the determination of Sr(II) ions\",\"authors\":\"Oguz Özbek\",\"doi\":\"10.1016/j.sintl.2022.100185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this study, an ion–selective electrode was developed for the potentiometric determination of strontium ions. Membrane optimization studies showed that the most suitable membrane composition was 4.0% (<em>w</em>/<em>w</em>) synthesized ionophore, 63.0% (<em>w</em>/<em>w</em>) bis(2–ethylhexyl)sebacate (BEHS), 32.0% (<em>w</em>/<em>w</em>) poly(vinyl chloride; PVC) and 1.0% (<em>w</em>/<em>w</em>) potassium tetrakis(<em>p</em>–chlorophenyl)borate (KT<em>p</em>ClPB) in terms of potentiometric performance characteristics. The electrode, which exhibits a stable potentiometric behaviour, shows a linear response in the concentration range of 1.0 ​× ​10<sup>−5</sup> – 1.0 ​× ​10<sup>−1</sup> ​mol ​L<sup>−1</sup> ​(<em>R</em><sup>2</sup> ​= ​0.998). The electrode has a detection limit of 7.94 ​× ​10<sup>−6</sup> ​mol ​L<sup>−1</sup> and a fast response time of 7s. The electrode exhibits selectivity against Sr(II) ions in the presence of some cationic species and works without being affected by pH changes in the pH range of 6.0–9.0. The proposed electrode performs the determination of Sr(II) ions in water samples with high recoveries.</p></div>\",\"PeriodicalId\":21733,\"journal\":{\"name\":\"Sensors International\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666351122000304/pdfft?md5=02fce394bbf49750a0eab7aa04c5a2b3&pid=1-s2.0-S2666351122000304-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sensors International\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666351122000304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors International","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666351122000304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究建立了一种离子选择电极,用于电位法测定锶离子。膜优化研究表明,最合适的膜组成为4.0% (w/w)合成离子载体、63.0% (w/w)双(2 -乙基己基)癸二酸酯(BEHS)、32.0% (w/w)聚氯乙烯;PVC)和1.0% (w/w)四对氯苯硼酸钾(KTpClPB)的电位性能特性。电极具有稳定的电位行为,在1.0 × 10−5 ~ 1.0 × 10−1 mol L−1浓度范围内呈线性响应(R2 = 0.998)。该电极的检出限为7.94 × 10−6 mol L−1,响应时间为7s。该电极对Sr(II)离子具有选择性,在6.0 ~ 9.0的pH范围内不受pH变化的影响。该电极可用于水样中Sr(II)离子的测定,回收率高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Potentiometric PVC membrane ion–selective electrode for the determination of Sr(II) ions

In this study, an ion–selective electrode was developed for the potentiometric determination of strontium ions. Membrane optimization studies showed that the most suitable membrane composition was 4.0% (w/w) synthesized ionophore, 63.0% (w/w) bis(2–ethylhexyl)sebacate (BEHS), 32.0% (w/w) poly(vinyl chloride; PVC) and 1.0% (w/w) potassium tetrakis(p–chlorophenyl)borate (KTpClPB) in terms of potentiometric performance characteristics. The electrode, which exhibits a stable potentiometric behaviour, shows a linear response in the concentration range of 1.0 ​× ​10−5 – 1.0 ​× ​10−1 ​mol ​L−1 ​(R2 ​= ​0.998). The electrode has a detection limit of 7.94 ​× ​10−6 ​mol ​L−1 and a fast response time of 7s. The electrode exhibits selectivity against Sr(II) ions in the presence of some cationic species and works without being affected by pH changes in the pH range of 6.0–9.0. The proposed electrode performs the determination of Sr(II) ions in water samples with high recoveries.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
17.40
自引率
0.00%
发文量
0
期刊最新文献
A method to detect enzymatic reactions with field effect transistor Blue luminescent carbon quantum dots derived from diverse banana peels for selective sensing of Fe(III) ions The application of ultrasonic measurement and machine learning technique to identify flow regime in a bubble column reactor A capacitive sensor-based approach for type-2 diabetes detection via bio-impedance analysis of erythrocytes GA-mADAM-IIoT: A new lightweight threats detection in the industrial IoT via genetic algorithm with attention mechanism and LSTM on multivariate time series sensor data
×
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