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Updated: Jul 20, 2025

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Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications
Published on: November 5, 2020
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A simple method for testing and controlling inhibition in soil and sediment samples for qPCR
Tom Bott1, George Shaw2, Simon Gregory3
1British Geological Survey, Keyworth, Nottingham NG12 5GG, UK; School of Biosciences, Sutton Bonington, University of Nottingham, Loughborough LE12 5RD, UK.
Journal of Microbiological Methods
|August 4, 2023
Summary
Environmental samples often contain polymerase-chain-reaction (PCR) inhibitors, hindering quantitative-PCR (qPCR) analysis. This study introduces a simple dilution test to determine optimal sample dilutions, reducing inhibition effects without complex controls.
Area of Science:
- Environmental Science
- Molecular Biology
- Analytical Chemistry
Background:
- Quantitative-polymerase-chain-reaction (qPCR) is crucial for environmental sample analysis.
- PCR inhibitors in environmental samples compromise qPCR reliability and repeatability.
- Sample dilution is often necessary but requires optimization.
Purpose of the Study:
- To develop a straightforward method for estimating optimal sample dilutions for qPCR.
- To mitigate the impact of PCR inhibitors on qPCR assay performance.
- To reduce the complexity and cost associated with qPCR inhibition analysis.
Main Methods:
- A novel test utilizing multiple sample dilution series was designed.
- The method avoids the use of internal controls and external standards.
- Focus is on direct assessment of sample dilution effects.
Main Results:
- The proposed test effectively estimates optimal sample dilutions for qPCR.
- It successfully reduces the adverse effects of PCR inhibitors.
- The approach simplifies the process compared to traditional methods.
Conclusions:
- This simple dilution test provides a cost-effective and less complex solution for qPCR inhibition.
- It enables more reliable and repeatable qPCR analysis of environmental samples.
- The method is valuable for researchers dealing with inhibitory environmental matrices.

