分子印迹聚合物电化学传感器对吡啶酸的选择性检测

IF 0.7 4区 材料科学 Q4 METALLURGY & METALLURGICAL ENGINEERING International Journal of Materials Research Pub Date : 2023-08-29 DOI:10.1557/s43578-023-01136-0
Nur Asyiqin Zulkefli, F. S. Mehamod, A. Jani, Nur Habibah Safiyyah Jusoh, F. Suah
{"title":"分子印迹聚合物电化学传感器对吡啶酸的选择性检测","authors":"Nur Asyiqin Zulkefli, F. S. Mehamod, A. Jani, Nur Habibah Safiyyah Jusoh, F. Suah","doi":"10.1557/s43578-023-01136-0","DOIUrl":null,"url":null,"abstract":"Picolinic acid (PIC) is a key metabolite found in the amino acid tryptophan. While it has been well-studied for its significant role in mental health disorders, there has been little research into developing a rapid sensor to detect PIC. In this preliminary work, we sought to develop a molecularly imprinted polymers (MIPs)-based electrochemical sensor that could rapidly and selectively detect PIC. The electrochemical sensor performance was evaluated using differential pulse voltammetry (DPV) in a linear range between 1 and 5 mM, with a limit of detection of 0.6 mM (S/N = 3) and a limit of quantification of 1.7 mM (S/N = 10). The interference analysis was also conducted on the MIPs sensor to evaluate its ability to selectively detect PIC in the presence of other interfering molecules. Overall, the results demonstrate that this sensor has significant potential for use in the rapid and selective detection of PIC by electrochemical analysis.","PeriodicalId":14079,"journal":{"name":"International Journal of Materials Research","volume":"52 1","pages":"4214 - 4224"},"PeriodicalIF":0.7000,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selective detection of picolinic acid by molecularly imprinted polymer based electrochemical sensor\",\"authors\":\"Nur Asyiqin Zulkefli, F. S. Mehamod, A. Jani, Nur Habibah Safiyyah Jusoh, F. Suah\",\"doi\":\"10.1557/s43578-023-01136-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Picolinic acid (PIC) is a key metabolite found in the amino acid tryptophan. While it has been well-studied for its significant role in mental health disorders, there has been little research into developing a rapid sensor to detect PIC. In this preliminary work, we sought to develop a molecularly imprinted polymers (MIPs)-based electrochemical sensor that could rapidly and selectively detect PIC. The electrochemical sensor performance was evaluated using differential pulse voltammetry (DPV) in a linear range between 1 and 5 mM, with a limit of detection of 0.6 mM (S/N = 3) and a limit of quantification of 1.7 mM (S/N = 10). The interference analysis was also conducted on the MIPs sensor to evaluate its ability to selectively detect PIC in the presence of other interfering molecules. Overall, the results demonstrate that this sensor has significant potential for use in the rapid and selective detection of PIC by electrochemical analysis.\",\"PeriodicalId\":14079,\"journal\":{\"name\":\"International Journal of Materials Research\",\"volume\":\"52 1\",\"pages\":\"4214 - 4224\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Materials Research\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1557/s43578-023-01136-0\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"METALLURGY & METALLURGICAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Materials Research","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1557/s43578-023-01136-0","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METALLURGY & METALLURGICAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

摘要

吡啶酸(PIC)是氨基酸色氨酸中的关键代谢物。虽然它在精神健康障碍中的重要作用已经得到了充分的研究,但很少有研究开发一种快速检测PIC的传感器。在这项初步工作中,我们试图开发一种基于分子印迹聚合物(MIPs)的电化学传感器,可以快速和选择性地检测PIC。采用差分脉冲伏安法(DPV)在1 ~ 5 mM的线性范围内评价电化学传感器的性能,检测限为0.6 mM (S/N = 3),定量限为1.7 mM (S/N = 10)。我们还对MIPs传感器进行了干扰分析,以评估其在存在其他干扰分子的情况下选择性检测PIC的能力。总的来说,结果表明该传感器在电化学分析中快速和选择性检测PIC方面具有重要的潜力。
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
Selective detection of picolinic acid by molecularly imprinted polymer based electrochemical sensor
Picolinic acid (PIC) is a key metabolite found in the amino acid tryptophan. While it has been well-studied for its significant role in mental health disorders, there has been little research into developing a rapid sensor to detect PIC. In this preliminary work, we sought to develop a molecularly imprinted polymers (MIPs)-based electrochemical sensor that could rapidly and selectively detect PIC. The electrochemical sensor performance was evaluated using differential pulse voltammetry (DPV) in a linear range between 1 and 5 mM, with a limit of detection of 0.6 mM (S/N = 3) and a limit of quantification of 1.7 mM (S/N = 10). The interference analysis was also conducted on the MIPs sensor to evaluate its ability to selectively detect PIC in the presence of other interfering molecules. Overall, the results demonstrate that this sensor has significant potential for use in the rapid and selective detection of PIC by electrochemical analysis.
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
1.30
自引率
12.50%
发文量
119
审稿时长
6.4 months
期刊介绍: The International Journal of Materials Research (IJMR) publishes original high quality experimental and theoretical papers and reviews on basic and applied research in the field of materials science and engineering, with focus on synthesis, processing, constitution, and properties of all classes of materials. Particular emphasis is placed on microstructural design, phase relations, computational thermodynamics, and kinetics at the nano to macro scale. Contributions may also focus on progress in advanced characterization techniques. All articles are subject to thorough, independent peer review.
期刊最新文献
Effect of graphene additive on microstructure and properties of MAO coatings on 6063 aluminum alloy Gelatin-based forsterite–hydroxyapatite hybrid coating on Ti6Al4V to improve its biocompatibility and corrosion resistance Enthalpies of mixing in ternary Ag–Eu–Sn liquid alloys Effect of oleic acid on morphologies of BaTi5O11 nanocrystals synthesized by hydrothermal method Enhanced supercapacitive performance of electrophoretically deposited nanostructured molybdenum-doped Mn3O4 thin films
×
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