4.6 Review

Rational PCR Reactor Design in Microfluidics

Journal

MICROMACHINES
Volume 14, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/mi14081533

Keywords

polymerase chain reaction; fast PCR; extreme PCR; microfluidics; PCR reactor design; heat transfer; thermal cycling

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The pandemic has provided financial and regulatory support for the improvement of limit of detection (LOD), speed, and cost of important diagnostic tools such as lateral flow assays (LFA), enzyme-linked immunosorbent assays (ELISA), and polymerase chain reaction (PCR). Among these tools, PCR has shown the most progress in overall performance. However, implementing PCR in point of care (POC) settings remains challenging due to strict requirements for low LOD, multiplexing, accuracy, selectivity, robustness, and cost. This article introduces three parameters to guide the design of the next generation of PCR reactors based on POC requirements: the overall sample-to-answer time (t), lambda (?), which determines the minimum number of copies required per reactor volume, and gamma (?), the system's thermal efficiency. Evaluation: 8/10.
Limit of detection (LOD), speed, and cost for some of the most important diagnostic tools, i.e., lateral flow assays (LFA), enzyme-linked immunosorbent assays (ELISA), and polymerase chain reaction (PCR), all benefited from both the financial and regulatory support brought about by the pandemic. From those three, PCR has gained the most in overall performance. However, implementing PCR in point of care (POC) settings remains challenging because of its stringent requirements for a low LOD, multiplexing, accuracy, selectivity, robustness, and cost. Moreover, from a clinical point of view, it has become very desirable to attain an overall sample-to-answer time (t) of 10 min or less. Based on those POC requirements, we introduce three parameters to guide the design towards the next generation of PCR reactors: the overall sample-to-answer time (t); lambda (?), a measure that sets the minimum number of copies required per reactor volume; and gamma (?), the system's thermal efficiency. These three parameters control the necessary sample volume, the number of reactors that are feasible (for multiplexing), the type of fluidics, the PCR reactor shape, the thermal conductivity, the diffusivity of the materials used, and the type of heating and cooling systems employed. Then, as an illustration, we carry out a numerical simulation of temperature changes in a PCR device, discuss the leading commercial and RT-qPCR contenders under development, and suggest approaches to achieve the PCR reactor for RT-qPCR of the future.

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