A reagent-centred thermal control system driven by a cascade temperature control algorithm for high-speed PCR

Abstract

Accelerating quantitative polymerase chain reaction (qPCR) without compromising analytical fidelity remains a significant challenge in molecular diagnostics, primarily due to the thermal lag between heating elements and reagents. Here, we report a high-speed qPCR platform that overcomes this limitation using a reagent-centric cascade control strategy. The system employs a planar PCB-based copper heater that functions as both a heating element and a temperature sensor, ensuring low-latency, sensor-efficient thermal feedback. To overcome this thermal delay, a virtual temperature sensor—derived from system identification—is used to estimate the real-time reagent temperature, which drives an outer-loop fuzzy PID controller with feedforward compensation. Inner cascaded loops stabilize the heater current and surface temperature. The system achieves reagent-phase average heating and cooling rates of 24.1 °C s−1 and 19 °C s−1, respectively. Furthermore, the reagent temperature is controlled with an accuracy of ±0.2 °C and an overshoot of less than 0.2 °C. A complete 45-cycle amplification is achieved in as little as 4.4 minutes. Crucially, this speed is attained without analytical compromise, demonstrating excellent quantitative accuracy (R2 = 0.9965) and amplification efficiency (109.8%). The proposed reagent-centred control framework offers a scalable pathway for developing high-throughput PCR and molecular diagnostic instruments, supporting fast, accurate, and scalable nucleic acid testing.

Graphical abstract: A reagent-centred thermal control system driven by a cascade temperature control algorithm for high-speed PCR

Supplementary files

Article information

Article type
Paper
Submitted
09 Sep 2025
Accepted
06 Nov 2025
First published
03 Dec 2025

Analyst, 2026, Advance Article

A reagent-centred thermal control system driven by a cascade temperature control algorithm for high-speed PCR

Y. Luo, W. Hu, J. Wu, B. Sun, G. Jin and Q. Xu, Analyst, 2026, Advance Article , DOI: 10.1039/D5AN00965K

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements