LATEST PUBLICATIONS

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JOURNAL OF BIOSENSORS AND BIOELECTRONICS

A computational simulation platform for designing real-time monitoring systems with application to COVID-19. While developing an effective vaccine can take months up to years, detection of infected patients seems like one of the best ideas for controlling the situation. The role of biosensors in containing highly pathogenic viruses, saving lives and economy is evident. A new competitive numerical platform specifically for designing microfluidic-integrated biosensors...

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JOURNAL OF APPLIED SCIENCE

Flow Control Techniques for Enhancing the Bio-Recognition Performance of Microfluidic-Integrated Biosensors.

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JOURNAL OF METHODSX

Numerical framework for simulating bio-species transport in microfluidic channels with application to antibody biosensors. Diagnosis is a fundamental stage in health care and medical treatment. Microfluidic biosensors and lab-on-a-chip devices are amongst the few practical tools for achieving this goal. A new computational code, specifically for designing microfluidic-integrated biosensors is developed, the details of which is presented in this work. ...

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JOURNAL OF ARTIFICIAL ORGANS

The Effect of Biomaterial Matrix Design on Tissue Regeneration of Broken Nerve-Cells in Vivo. Objectives: In tissue regeneration of broken nerve-cell, it is preferred to deliver the drug in the location of the damaged nerve-cell, rather than global drug consumption. This method would reduce the side effects and consumes the drug only in the damaged area. In living organism, biomaterial matrices have shown a remarkable use for drug release. One of the challenges and design points for this application is the gradual release of the drug. ...

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8TH EUROPEAN MEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

Use of heterogeneous biosensors in microfluidic channels for diagnostic and detection of diseases in early stages is a novel, relatively cheap and applicable solution for saving lives and health purposes. It has attracted great interest in experimental field and a lot of works are being done in order to reach better biosensors with reliable results and fast detection. A comprehensive numerical model of Langmuir-Hinshelwood mechanism would help speeding up the process of design and analysis of biosensors. ...

 

KEY PUBLICATIONS

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A COMPUTATIONAL SIMULATION PLATFORM FOR DESIGNING REAL-TIME MONITORING SYSTEMS WITH APPLICATION TO COVID-19

2021

With the aim of contributing to the fight against the coronavirus disease 2019 (COVID-19), numerous strategies have been proposed. While developing an effective vaccine can take months up to years, detection of infected patients seems like one of the best ideas for controlling the situation. The role of biosensors in containing highly pathogenic viruses, saving lives and economy is evident. A new competitive numerical platform specifically for designing microfluidic-integrated biosensors is developed and presented in this work. Properties of the biosensor, sample, buffer fluid and even the microfluidic channel can be modified in this model. This feature provides the scientific community with the ability to design a specific biosensor for requested point-of-care (POC) applications. First, the validation of the presented numerical platform against experimental data and then results and discussion, highlighting the important role of the design parameters on the performance of the biosensor is presented. For the latter, the baseline case has been set on the previous studies on the biosensors suitable for SARS-CoV, which has the highest similarity to the 2019 nCoV. Subsequently, the effects of concentration of the targeted molecules in the sample, installation position and properties of the biosensor on its performance were investigated in 11 case studies. The presented numerical framework provides an insight into understanding of the virus reaction in the design process of the biosensor and enhances our preparation for any future outbreaks. Furthermore, the integration of biosensors with different devices for accelerating the process of defeating the pandemic is proposed.

 

A COMPUTATIONAL SIMULATION PLATFORM FOR DESIGNING REAL-TIME MONITORING SYSTEMS WITH APPLICATION TO COVID-19

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