Current Advance in Transistor-Based Biosensors for Diagnostics

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 7382

Special Issue Editors


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Guest Editor
Laboratory of Organic Electronics (LEO), Department of Life Science, University of Modena and Reggio Emilia, via Campi 213/a, 41125 Modena, Italy
Interests: biosensors; egofet; oect; electrochemistry; impedance; organic electronics; rGO

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Guest Editor
Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
Interests: biophysical chemistry; organic bioelectronics; electron transfer
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Special Issue Information

Dear Colleagues,

Transistor-based biosensors have exhibited outstanding performances in the last decade in terms of selectivity, limit of detection, and portability. Thanks to the properties of active materials, transistor-based biosensors can be realized on flexible substrates with cost-effective printing techniques, characteristics that make these devices suitable to realize diagnostic platforms at the point of care.

This Special Issue aims to collect papers on the latest advances in the field of biosensing for diagnostics, underlining proof-of-concept innovations in terms of technology, targets, and portability. Applications to achieve biosensing with samples from patients and technological solutions for point-of-care applications are welcome.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: field-effect transistor (FET) biosensors for diagnostics based on organic semiconductors, carbon nanotubes, graphene, and inorganic semiconductors; microfluidics platforms for FETs; and new device architectures for point-of-care applications.

We look forward to receiving your contributions.

Dr. Matteo Sensi
Dr. Carlo Augusto Bortolotti
Guest Editors

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Keywords

  • transistors
  • biosensors
  • diagnostics
  • FET
  • GFET
  • OECT
  • EGOFET
  • point-of-care

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Published Papers (3 papers)

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Research

15 pages, 2388 KiB  
Article
Digitalization of Enzyme-Linked Immunosorbent Assay with Graphene Field-Effect Transistors (G-ELISA) for Portable Ferritin Determination
by Melody L. Candia, Esteban Piccinini, Omar Azzaroni and Waldemar A. Marmisollé
Biosensors 2024, 14(8), 394; https://doi.org/10.3390/bios14080394 - 16 Aug 2024
Viewed by 1825
Abstract
Herein, we present a novel approach to quantify ferritin based on the integration of an Enzyme-Linked Immunosorbent Assay (ELISA) protocol on a Graphene Field-Effect Transistor (gFET) for bioelectronic immunosensing. The G-ELISA strategy takes advantage of the gFET inherent capability of detecting pH changes [...] Read more.
Herein, we present a novel approach to quantify ferritin based on the integration of an Enzyme-Linked Immunosorbent Assay (ELISA) protocol on a Graphene Field-Effect Transistor (gFET) for bioelectronic immunosensing. The G-ELISA strategy takes advantage of the gFET inherent capability of detecting pH changes for the amplification of ferritin detection using urease as a reporter enzyme, which catalyzes the hydrolysis of urea generating a local pH increment. A portable field-effect transistor reader and electrolyte-gated gFET arrangement are employed, enabling their operation in aqueous conditions at low potentials, which is crucial for effective biological sample detection. The graphene surface is functionalized with monoclonal anti-ferritin antibodies, along with an antifouling agent, to enhance the assay specificity and sensitivity. Markedly, G-ELISA exhibits outstanding sensing performance, reaching a lower limit of detection (LOD) and higher sensitivity in ferritin quantification than unamplified gFETs. Additionally, they offer rapid detection, capable of measuring ferritin concentrations in approximately 50 min. Because of the capacity of transistor miniaturization, our innovative G-ELISA approach holds promise for the portable bioelectronic detection of multiple biomarkers using a small amount of the sample, which would be a great advancement in point–of–care testing. Full article
(This article belongs to the Special Issue Current Advance in Transistor-Based Biosensors for Diagnostics)
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12 pages, 2925 KiB  
Article
Solution-Induced Degradation of the Silicon Nanobelt Field-Effect Transistor Biosensors
by Jung-Chih Lin, Zhao-Yu Zhou, Yi-Ching Cheng, I-Nan Chang, Chu-En Lin and Chi-Chang Wu
Biosensors 2024, 14(2), 65; https://doi.org/10.3390/bios14020065 - 25 Jan 2024
Cited by 1 | Viewed by 2004
Abstract
Field-effect transistor (FET)-based biosensors are powerful analytical tools for detecting trace-specific biomolecules in diverse sample matrices, especially in the realms of pandemics and infectious diseases. The primary concern in applying these biosensors is their stability, a factor directly impacting the accuracy and reliability [...] Read more.
Field-effect transistor (FET)-based biosensors are powerful analytical tools for detecting trace-specific biomolecules in diverse sample matrices, especially in the realms of pandemics and infectious diseases. The primary concern in applying these biosensors is their stability, a factor directly impacting the accuracy and reliability of sensing over extended durations. The risk of biosensor degradation is substantial, potentially jeopardizing the sensitivity and selectivity and leading to inaccurate readings, including the possibility of false positives or negatives. This paper delves into the documented degradation of silicon nanobelt FET (NBFET) biosensors induced by buffer solutions. The results highlight a positive correlation between immersion time and the threshold voltage of NBFET devices. Secondary ion mass spectrometry analysis demonstrates a gradual increase in sodium and potassium ion concentrations within the silicon as immersion days progress. This outcome is ascribed to the nanobelt’s exposure to the buffer solution during the biosensing period, enabling ion penetration from the buffer into the silicon. This study emphasizes the critical need to address buffer-solution-induced degradation to ensure the long-term stability and performance of FET-based biosensors in practical applications. Full article
(This article belongs to the Special Issue Current Advance in Transistor-Based Biosensors for Diagnostics)
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9 pages, 3238 KiB  
Communication
A Fast and Label-Free Potentiometric Method for Direct Detection of Glutamine with Silicon Nanowire Biosensors
by Yonghao Jia, Jianyu Wang, Shari Yosinski, Yuehang Xu and Mark A. Reed
Biosensors 2022, 12(6), 368; https://doi.org/10.3390/bios12060368 - 27 May 2022
Cited by 2 | Viewed by 2529
Abstract
In this paper, a potentiometric method is used for monitoring the concentration of glutamine in the bioprocess by employing silicon nanowire biosensors. Just one hydrolyzation reaction was used, which is much more convenient compared with the two-stage reactions in the published papers. For [...] Read more.
In this paper, a potentiometric method is used for monitoring the concentration of glutamine in the bioprocess by employing silicon nanowire biosensors. Just one hydrolyzation reaction was used, which is much more convenient compared with the two-stage reactions in the published papers. For the silicon nanowire biosensor, the Al2O3 sensing layer provides a highly sensitive to solution-pH, which has near-Nernstian sensitivity. The sensitive region to detect glutamine is from ≤40 μM to 20 mM. The Sigmoidal function was used to model the pH-signal variation versus the glutamine concentration. Compared with the amperometric methods, a consistent result from different devices could be directly obtained. It is a fast and direct method achieved with our real-time setup. Also, it is a label-free method because just the pH variation of the solution is monitored. The obtained results show the feasibility of the potentiometric method for monitoring the glutamine concentrations in fermentation processes. Our approach in this paper can be applied to various analytes. Full article
(This article belongs to the Special Issue Current Advance in Transistor-Based Biosensors for Diagnostics)
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