Emerging Trends In Computational Biosensors: Challenges And Future Directions

Authors

  • Abhishek Futane
  • Vigneswaran Narayanamurthy
  • Vigneswara Rao Gannapathy
  • Pramod Jadhav
  • Kok Swee Leong

DOI:

https://doi.org/10.53555/sfs.v10i1.1280

Keywords:

Computational biosensors, Computational methods, Target analytes

Abstract

Biosensors are powerful analytical devices that detect and quantify target analytes in a sample. Due to their high selectivity and sensitivity, enzymes, proteins, antibodies, peptides, and whole cells are commonly used as sensing elements in biosensors. However, the design and optimization of biosensors can be challenging due to the complexity of these biomolecules and their interactions with target analytes. In recent years, computational methods have emerged as powerful tools for designing and optimizing biosensors, enabling researchers to predict the behavior of biomolecules and their interactions with target analytes. Computational fluid mechanics can aid in the design of microfluidic systems for biosensing applications. In contrast, molecular dynamic simulation, molecular docking, quantum mechanics, and virtual screening methods can be used to predict the behavior of biomolecules at the atomic level and study the binding kinetics and thermodynamics of interactions. This paper critically discusses the use of computational methods in biosensors, focusing on enzyme-based, protein-based, antibody-based, peptide-based, and whole-cell-based biosensors. We also review using computational fluid mechanics, molecular dynamic simulation, molecular docking, quantum mechanics, and virtual screening methods in biosensor design and optimization. Additionally, we discuss the applications of these computational methods and biosensors in healthcare, environmental monitoring, food safety, biodefense, and security. Combining computational biosensors and computational methods offers tremendous potential for developing advanced biosensors with enhanced sensitivity, specificity, and accuracy. However, challenges remain, such as the need for more accurate models and the integration of experimental and computational approaches. We conclude by discussing the prospects and challenges of computational biosensors and methods, highlighting the need for further research to drive innovation and improve human health and well-being.

Author Biographies

  • Abhishek Futane

    Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer , Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya,
    76100 Durian Tunggal, Melaka, Malaysia

  • Vigneswaran Narayanamurthy

    Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

  • Vigneswara Rao Gannapathy

    Advance Sensors and Embedded Systems (ASECs), Centre for Telecommunication Research & Innovation, Fakulti Teknologi Kejuruteraan Elektrik Dan Elektronik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

  • Pramod Jadhav

    Faculty of Civil Engineering Technology, Universiti Malaysia Pahang (UMP) Lebuhraya Tun Razak, 26300 Gambang,
    Kuantan, Pahang, Malaysia

  • Kok Swee Leong

    Advance Sensors and Embedded Systems (ASECs), Centre for Telecommunication Research & Innovation, Fakulti
    Kejuruteraan Elektronik dan Kejuruteraan Komputer , Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100
    Durian Tunggal, Melaka, Malaysia

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Published

2023-07-05

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Section

Articles