Literature DB >> 29072718

Field-effect sensors - from pH sensing to biosensing: sensitivity enhancement using streptavidin-biotin as a model system.

Benjamin M Lowe1, Kai Sun1, Ioannis Zeimpekis1, Chris-Kriton Skylaris2, Nicolas G Green1.   

Abstract

Field-Effect Transistor sensors (FET-sensors) have been receiving increasing attention for biomolecular sensing over the last two decades due to their potential for ultra-high sensitivity sensing, label-free operation, cost reduction and miniaturisation. Whilst the commercial application of FET-sensors in pH sensing has been realised, their commercial application in biomolecular sensing (termed BioFETs) is hindered by poor understanding of how to optimise device design for highly reproducible operation and high sensitivity. In part, these problems stem from the highly interdisciplinary nature of the problems encountered in this field, in which knowledge of biomolecular-binding kinetics, surface chemistry, electrical double layer physics and electrical engineering is required. In this work, a quantitative analysis and critical review has been performed comparing literature FET-sensor data for pH-sensing with data for sensing of biomolecular streptavidin binding to surface-bound biotin systems. The aim is to provide the first systematic, quantitative comparison of BioFET results for a single biomolecular analyte, specifically streptavidin, which is the most commonly used model protein in biosensing experiments, and often used as an initial proof-of-concept for new biosensor designs. This novel quantitative and comparative analysis of the surface potential behaviour of a range of devices demonstrated a strong contrast between the trends observed in pH-sensing and those in biomolecule-sensing. Potential explanations are discussed in detail and surface-chemistry optimisation is shown to be a vital component in sensitivity-enhancement. Factors which can influence the response, yet which have not always been fully appreciated, are explored and practical suggestions are provided on how to improve experimental design.

Entities:  

Year:  2017        PMID: 29072718     DOI: 10.1039/c7an00455a

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  8 in total

1.  Activation of Haa1 and War1 transcription factors by differential binding of weak acid anions in Saccharomyces cerevisiae.

Authors:  Myung Sup Kim; Kyung Hee Cho; Kwang Hyun Park; Jyongsik Jang; Ji-Sook Hahn
Journal:  Nucleic Acids Res       Date:  2019-02-20       Impact factor: 16.971

2.  Reproducible Performance Improvements to Monolayer MoS2 Transistors through Exposed Material Forming Gas Annealing.

Authors:  Nicholas B Guros; Son T Le; Siyuan Zhang; Brent A Sperling; Jeffery B Klauda; Curt A Richter; Arvind Balijepalli
Journal:  ACS Appl Mater Interfaces       Date:  2019-04-29       Impact factor: 9.229

3.  Field-Effect Capacitors Decorated with Ligand-Stabilized Gold Nanoparticles: Modeling and Experiments.

Authors:  Arshak Poghossian; Tobias Karschuck; Patrick Wagner; Michael J Schöning
Journal:  Biosensors (Basel)       Date:  2022-05-13

4.  Graphene Templated DNA Arrays and Biotin-Streptavidin Sensitive Bio-Transistors Patterned by Dynamic Self-Assembly of Polymeric Films Confined within a Roll-on-Plate Geometry.

Authors:  Sangheon Jeon; Jihye Lee; Rowoon Park; Jeonghwa Jeong; Min Chan Shin; Seong Un Eom; Jinyoung Park; Suck Won Hong
Journal:  Nanomaterials (Basel)       Date:  2020-07-27       Impact factor: 5.076

5.  Digital Biosensing by Foundry-Fabricated Graphene Sensors.

Authors:  Brett R Goldsmith; Lauren Locascio; Yingning Gao; Mitchell Lerner; Amy Walker; Jeremy Lerner; Jayla Kyaw; Angela Shue; Savannah Afsahi; Deng Pan; Jolie Nokes; Francie Barron
Journal:  Sci Rep       Date:  2019-01-22       Impact factor: 4.379

6.  A Reliable BioFET Immunosensor for Detection of p53 Tumour Suppressor in Physiological-Like Environment.

Authors:  Chiara Baldacchini; Antonino Francesco Montanarella; Luca Francioso; Maria Assunta Signore; Salvatore Cannistraro; Anna Rita Bizzarri
Journal:  Sensors (Basel)       Date:  2020-11-08       Impact factor: 3.576

Review 7.  Capacitive Field-Effect EIS Chemical Sensors and Biosensors: A Status Report.

Authors:  Arshak Poghossian; Michael J Schöning
Journal:  Sensors (Basel)       Date:  2020-10-02       Impact factor: 3.576

8.  Detection of plant virus particles with a capacitive field-effect sensor.

Authors:  Melanie Jablonski; Arshak Poghossian; Michael Keusgen; Christina Wege; Michael J Schöning
Journal:  Anal Bioanal Chem       Date:  2021-07-09       Impact factor: 4.142

  8 in total

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