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Implementation of the inverse problem for on-chip PCR diagnostics with rapid and precise thermal cycling
134 viewed

Implementation of the inverse problem for on-chip PCR diagnostics with rapid and precise thermal cycling

Shoaee, S

Implementation of the inverse problem for on-chip PCR diagnostics with rapid and precise thermal cycling

Shoaee, S ; Sharif University of Technology | 2024

134 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.sna.2024.115176
  3. Publisher: 2024
  4. Abstract:
  5. Microfluidic devices have emerged as a promising platform for point-of-care biological analysis, including PCR-based molecular diagnostics. However, the multi-layer characteristics of existing microfluidic chips introduce significant thermal inertia, resulting in temperature disparities between the PCR mixture and the heating element. This issue poses a substantial obstacle to the efficient and accurate deployment of point-of-care technology. Herein, a practical approach for accurate and fast PCR on microchips based on the inverse heat transfer problem (IHTP) is introduced and solved by incorporating computational fluid dynamics (CFD) simulations and the particle swarm optimization (PSO) algorithm. The methodology successfully resulted in a 46% reduction in PCR duration with less than 0.1 ℃ temperature discrepancy for our custom-built microfluidic device. The optimization performance was further evaluated by conducting biological tests at varying concentrations of the genetic sequence, and the standard curve of our optimized PCR system is presented. According to the standard curve of the system, using an optimized boundary temperature profile, the fabricated benchtop testing device performed COVID-19 molecular detection with 104% efficiency. The numerical approach can be extended to a variety of microfluidic devices and PCR temperature protocols, thereby enhancing the PCR diagnosis in microfluidic devices. © 2024 Elsevier B.V
  6. Keywords:
  7. Inverse heat transfer analysis ; Microdevices thermal simulation ; μTAS optimization ; Computational fluid dynamics ; Curve fitting ; Heat transfer ; Inverse problems ; Microfluidic chips ; Particle swarm optimization (PSO) ; Polymerase chain reaction ; Temperature distribution ; Heat transfer analysis ; Inverse heat transfer ; Inverse heat transfer analyse ; Micro-device ; Microdevice thermal simulation ; Microfluidics devices ; Optimisations ; Thermal simulations ; μTAS ; ΜTAS optimization ; Microfluidics
  8. Source: Sensors and Actuators A: Physical ; Volume 369 , 2024 ; 09244247 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0924424724001699