Benefits of Nanocarbon-Based Field-Effect Transistors in Biosensors

Field-effect transistor (FET) devices based on functionalized nanocarbon materials are a promising technology for biomolecular sensing applications. Nanocarbon-based field-effect transistor (NC-FET) devices allow for label-free detection of biomolecules with the advantage of easy and direct electrical readout compared to most routine techniques.

Benefits of Nanocarbon-Based Field-Effect Transistors in Biosensors

Study: Fabrication and Functionalisation of Nanocarbon-based Field-Effect Transistor Biosensors. Image Credit: Marcin Janiec/Shutterstock.com

NC-FET biosensors are ideal candidates for next-generation diagnostic technologies. Integrating biomolecules into electrically conducting carbon-based platforms results in the fabrication of highly sensitive, real-time multiplexed sensors.

Due to their user-friendly, environment-friendly, and label-free sensing characteristics, NC-FETs are anticipated to empower the rapidly progressing fields of environmental monitoring, healthcare, and biosensing. A review published in ChemBioChem presented an overview of NC-FETs, highlighting their fabrication strategies and functionalization for biosensing applications.

NC-FET Biosensors and Their Advantages

A biosensor is an analytical device incorporating a biological recognition element in direct spatial contact with a transduction element. This integration ensures the rapid and convenient conversion of biological events to detectable signals.

In an electrical biosensor, the receptor (proteins or nucleic acids) and transducer are the two key components. The latter converts biological interactions (binding) with the biosensors into electrical signals in the form of current, resistance, or conductance. Among diverse electrical biosensing architectures, devices based on FETs are ideal biosensors.

NC-FET biosensors use carbon nanomaterials, including graphene and carbon nanotubes (CNTs), as transduction material due to their intrinsic properties such as rapid electron transport, facile functionalization strategies, large surface area to volume ratio, and ease of synthesis.

As the FET setup is a label-free sensing technique, it is more advantageous for electrical biosensor applications. When the target binds to the receptor, the FET-biosensor promotes a gating effect on conductance, thereby generating an output.

Although metal-oxide-semiconductors (MOS) or organic semiconductors were proposed as cost-effective and scalable channel materials, their low on/off ratio, slow mobility, poor signal-to-noise ratio, and short lifetime restrict their application. Carbon nanomaterials can overcome these shortcomings due to their unique physical and chemical properties, increasing the sensitivity in detecting target biomarkers.

Current Fabrication Techniques of NC-FETs and Future Prospects

To fabricate NC-FETs with CNTs, either the electrode is patterned onto CNTs or CNTs from the solution are deposited onto pre-patterned electrodes. The latter fabrication method is more suitable for the mass production of NC-FETs.

On the other hand, the most crucial step in the fabrication of graphene FETs is the transfer of the synthesized graphene to the substrate. Graphene synthesized via chemical vapor deposition (CVD) on a copper substrate is transferred to the target using a stamping method. Alternatively, solution-synthesized graphene is drop-casted onto the substrate, followed by patterning of the electrodes by metal evaporation.

Previous researchers adopted an advanced model in which lysozyme and DNA were used in a complex with single-walled CNTs (SWCNTs), which allowed the investigation of the origin of the electrostatic gating effect that can help assess the size, orientation, and affinity of prospective molecular recognition elements.

Furthermore, device uniformity has been previously achieved using semiconducting CNT dispersion methods, and functionalization uniformity are yet to be addressed to regulate the number of biomolecules that may connect to an NC-FET device.

Other researchers developed a unique DNA-guiding technique to regulate the order and amount of covalent functionalization of CNTs, which can be applied in biofunctionalization schemes. Additionally, non-specific analyte binding can be addressed by simply producing high-affinity receptors, such as aptamers and nanobodies, simplifying the methods by minimizing the requirement for passivation.

After determining the best NC-FET arrangement, the next task is to incorporate multiplexed arrays with transistors to facilitate multianalyte sensing. Engineers' inputs can be used to design logic circuits with integrated decision-making, resulting in tiny portable diagnostic devices that allow real-time monitoring of complicated samples.

While conventional methods, such as microbial culturing, require days to yield results, point-of-care diagnostic tests can provide results within minutes. The adaptability of NC-FETs can help target new analytes and pave the way for next-generation bio-transistors with superior sensitivity for analyte detection.

Conclusion

Overall, FET-based biosensors have substantial potential for future applications. Due to the outstanding electrical properties and environmental ultra-sensitivity of carbon nanomaterials, many strategies have been developed to create NC-FET-based biosensors.

Despite this remarkable progress, none of the NC-FET-based electrical biosensors has yet advanced to commercialization. The primary challenge stems from the device-to-device heterogeneity of baseline electronic properties.

Developing a reliable and scalable fabrication technique for mass-producing identical carbon nanomaterials arrays and integrating individuals into functional FET devices with high yields are some of the issues to be addressed in the future.

Reference

Lee, C., Gwyther, R.E., Freeley, M., Jones, D.D., Palma, M. (2022), Fabrication and Functionalisation of Nanocarbon-based Field-Effect Transistor Biosensors. ChemBioChem. https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cbic.202200282

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Bhavna Kaveti

Written by

Bhavna Kaveti

Bhavna Kaveti is a science writer based in Hyderabad, India. She has a Masters in Pharmaceutical Chemistry from Vellore Institute of Technology, India, and a Ph.D. in Organic and Medicinal Chemistry from Universidad de Guanajuato, Mexico. Her research work involved designing and synthesizing heterocycle-based bioactive molecules, where she had exposure to both multistep and multicomponent synthesis. During her doctoral studies, she worked on synthesizing various linked and fused heterocycle-based peptidomimetic molecules that are anticipated to have a bioactive potential for further functionalization. While working on her thesis and research papers, she explored her passion for scientific writing and communications.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Kaveti, Bhavna. (2022, October 10). Benefits of Nanocarbon-Based Field-Effect Transistors in Biosensors. AZoNano. Retrieved on April 23, 2024 from https://www.azonano.com/news.aspx?newsID=39775.

  • MLA

    Kaveti, Bhavna. "Benefits of Nanocarbon-Based Field-Effect Transistors in Biosensors". AZoNano. 23 April 2024. <https://www.azonano.com/news.aspx?newsID=39775>.

  • Chicago

    Kaveti, Bhavna. "Benefits of Nanocarbon-Based Field-Effect Transistors in Biosensors". AZoNano. https://www.azonano.com/news.aspx?newsID=39775. (accessed April 23, 2024).

  • Harvard

    Kaveti, Bhavna. 2022. Benefits of Nanocarbon-Based Field-Effect Transistors in Biosensors. AZoNano, viewed 23 April 2024, https://www.azonano.com/news.aspx?newsID=39775.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.