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Affinity Biosensing: Modeling of Adsorption Kinetics and Fluctuation Dynamics

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MEMS and Microfluidics in Healthcare

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 989))

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Abstract

A vast number of processes that are crucial for biosensing in microfluidic MEMS devices for health applications are based on affinity bonding between analyte biomolecules and functionalized adsorption sites. Whether it is applied for the development of new drug discovery or new sensors for point of care devices, the final design relies greatly on modeling these interactions. This chapter aims to present a compendium of models used for the representation of these interactions. It addresses modeling in time and frequency domain, from a deterministic and from a stochastic point of view, with respect to monocomponent and multicomponent monolayer adsorption in microfluidic MEMS devices with or without direct flow-through and mass transfer effects. The goal is to contribute to sequential and concurrent multiscale modeling by offering a collection of theoretical kinetic models like pseudo first order and pseudo second order kinetic models. The text includes the criteria for the domains of viability of the presented models, stochastic simulation algorithms and comparative analysis of analytical vs numerical modeling with artificial intelligence-assisted approach complementing these methods.

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Acknowledgements

This research was funded by the Ministry of Education, Science, and Technological Development of Republic of Serbia, grant number 451-03-68/2022-14/200026.

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Authors and Affiliations

  1. Center of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Beograd, Serbia

    Olga Jakšić

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  1. Olga Jakšić
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Correspondence to Olga Jakšić .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Koushik Guha

  2. School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Gorachand Dutta

  3. School of Mines and Metallurgy, Kazi Nazrul University, Asansol, West Bengal, India

    Arindam Biswas

  4. Department of Electronics and Communication Engineering, KL University, Guntur, Andhra Pradesh, India

    K. Srinivasa Rao

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Jakšić, O. (2023). Affinity Biosensing: Modeling of Adsorption Kinetics and Fluctuation Dynamics. In: Guha, K., Dutta, G., Biswas, A., Srinivasa Rao, K. (eds) MEMS and Microfluidics in Healthcare. Lecture Notes in Electrical Engineering, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-19-8714-4_12

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