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Updated: Jul 19, 2025

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Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control
Published on: March 30, 2015
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Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR.
Robert F DeJaco1,2, Matthew J Roberts3,4, Erica L Romsos5
1Applied and Computational Mathematics Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8910, Gaithersburg, MD, 20899-8910, USA. rdejaco@compactmembrane.com.
Bulletin of Mathematical Biology
|August 13, 2023
Summary
This study introduces a novel method linking nucleic acid amounts to fluorescence in real-time Polymerase Chain Reaction (PCR) assays. The approach quantifies fluorescence uncertainty, improving accuracy for DNA and RNA detection.
Area of Science:
- Molecular Biology
- Biophysics
- Biostatistics
Background:
- Real-time Polymerase Chain Reaction (PCR) assays measure nucleic acid amplification through fluorescence.
- Current methods may have bias and lack robust uncertainty quantification.
- Accurate quantification is crucial for diagnostics and research.
Purpose of the Study:
- To develop a new approach for relating nucleic acid concentration to fluorescence in real-time PCR.
- To reduce bias and quantify uncertainty in fluorescence measurements.
- To enable uncertainty quantification in PCR (UQ-PCR).
Main Methods:
- Coupling a two-type branching process for PCR with a fluorescence analog of Beer's Law.
- Distinguishing between complementary DNA strands for stoichiometric reaction descriptions.
- Analyzing expected copy-number and variance to identify amplification dynamics and sources of error.
Main Results:
- The approach provides a stoichiometric description of probe-DNA reactions and captures initial RNA assay conditions.
- Identified dynamics at low cycle numbers and quantified contributions from volume transfer, amplification imperfections, and strand-specific synthesis.
- Established analytical relationships between amplification efficiency and limit of detection through uncertainty quantification.
Conclusions:
- The developed method reduces bias and quantifies fluorescence uncertainty in real-time PCR.
- This framework enables a priori background fluorescence description and improved limit of detection analysis.
- The work paves the way for UQ-PCR, quantifying both input copy-number and its uncertainty from fluorescence kinetics.

