Debdatta Panigrahi, Youbin Zheng, Jing Wang, Majd Sublaban, Hossam Haick
{"title":"Extended Gate Transistor-based Multi-biomarker Sensing Platform for Real-time Urine Analysis","authors":"Debdatta Panigrahi, Youbin Zheng, Jing Wang, Majd Sublaban, Hossam Haick","doi":"10.1002/admt.202400329","DOIUrl":null,"url":null,"abstract":"<p>Urine analysis stands as a critical diagnostic tool, offering insights into health and disease. However, current techniques demand sophisticated equipment or significant sample processing for urine examination, reducing their suitability for regular point-of-care assessments. This study introduces a novel multi-component sensing platform to address these constraints. The proposed sensor array can detect sodium (Na<sup>+</sup>), potassium (K<sup>+</sup>), ammonium (NH<sub>4</sub><sup>+</sup>), calcium (Ca<sup>++</sup>), chloride (Cl<sup>−</sup>), and pH levels, thus, enabling real-time urine analysis. This sensing platform utilizes an extended gate (EG)-field effect transistor (FET) design employing EG electrodes made of LASER engraved graphene on flexible Kapton substrates. These experimental findings from individual sensors demonstrate consistent linear responses to ion levels, discrimination of specific ions among interferences, and operational stability over time. Additionally, the six-channel sensor array exhibits notable sensitivity and selectivity in a urine environment, effectively discerning various ions and pH, illustrating its efficacy for urine analysis and validating its potential for reliable point-of-care diagnostics.</p>","PeriodicalId":7292,"journal":{"name":"Advanced Materials Technologies","volume":null,"pages":null},"PeriodicalIF":6.4000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/admt.202400329","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials Technologies","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/admt.202400329","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Urine analysis stands as a critical diagnostic tool, offering insights into health and disease. However, current techniques demand sophisticated equipment or significant sample processing for urine examination, reducing their suitability for regular point-of-care assessments. This study introduces a novel multi-component sensing platform to address these constraints. The proposed sensor array can detect sodium (Na+), potassium (K+), ammonium (NH4+), calcium (Ca++), chloride (Cl−), and pH levels, thus, enabling real-time urine analysis. This sensing platform utilizes an extended gate (EG)-field effect transistor (FET) design employing EG electrodes made of LASER engraved graphene on flexible Kapton substrates. These experimental findings from individual sensors demonstrate consistent linear responses to ion levels, discrimination of specific ions among interferences, and operational stability over time. Additionally, the six-channel sensor array exhibits notable sensitivity and selectivity in a urine environment, effectively discerning various ions and pH, illustrating its efficacy for urine analysis and validating its potential for reliable point-of-care diagnostics.
期刊介绍:
Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.