A Capacitive Readout Strategy for Ammonia Detection: Design Flow, Modeling and Simulation

B. Andò, S. Baglio, S. Castorina, S. Graziani, M. Messina, S. Petralia, S. V. Gupta Tondepu
{"title":"A Capacitive Readout Strategy for Ammonia Detection: Design Flow, Modeling and Simulation","authors":"B. Andò, S. Baglio, S. Castorina, S. Graziani, M. Messina, S. Petralia, S. V. Gupta Tondepu","doi":"10.1109/SAS51076.2021.9530059","DOIUrl":null,"url":null,"abstract":"In this article, the information reported is of a genetical metabolic disorder named Phenylketonuria PKU and the necessity for the development of a biosensor with a complete Point-of-Care system. The choice of the biosensor is a low-cost rapid prototyping sensor fabricated by Inkjet Printed (IJP) Interdigitated Capacitive Transducer (IDT) on a PET substrate. The work curtailed a detailed explanation on the chosen methodology indirect phenylalanine quantification by making use the dielectric permittivity variation caused by the chemical reaction between the functional layer with the residual Ammonia (NH3) generated by an enzymatic reaction involving phenylalanine. This work includes a clear elaboration of the sensor design flow and the modelling of the capacitive sensor with multiple layers on top of the electrodes (Functional layer and Material Under Test). Simulation results are shown which allow for the choice of optimal design parameters for the Capacitive sensor.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS51076.2021.9530059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this article, the information reported is of a genetical metabolic disorder named Phenylketonuria PKU and the necessity for the development of a biosensor with a complete Point-of-Care system. The choice of the biosensor is a low-cost rapid prototyping sensor fabricated by Inkjet Printed (IJP) Interdigitated Capacitive Transducer (IDT) on a PET substrate. The work curtailed a detailed explanation on the chosen methodology indirect phenylalanine quantification by making use the dielectric permittivity variation caused by the chemical reaction between the functional layer with the residual Ammonia (NH3) generated by an enzymatic reaction involving phenylalanine. This work includes a clear elaboration of the sensor design flow and the modelling of the capacitive sensor with multiple layers on top of the electrodes (Functional layer and Material Under Test). Simulation results are shown which allow for the choice of optimal design parameters for the Capacitive sensor.
一种用于氨检测的电容读出策略:设计流程、建模与仿真
在这篇文章中,报道了一种名为苯丙酮尿PKU的遗传代谢疾病的信息,以及开发一种具有完整护理点系统的生物传感器的必要性。生物传感器的选择是一种低成本的快速原型传感器,由喷墨印刷(IJP)互指电容传感器(IDT)在PET基板上制造。本工作减少了对所选择的间接苯丙氨酸定量方法的详细解释,该方法是利用功能层与苯丙氨酸酶催化反应产生的残余氨(NH3)之间的化学反应引起的介电常数变化。这项工作包括对传感器设计流程的清晰阐述,以及在电极顶部具有多层的电容式传感器的建模(功能层和待测材料)。仿真结果为电容式传感器的最佳设计参数的选择提供了依据。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信