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Related Experiment Video

Updated: May 30, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
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Reagent efficiency and analytical sensitivity optimization for a reliable SARS-CoV-2 pool-based testing strategy.

José P Miranda1,2,3, Javiera Osorio1, Marcia Silva1

  • 1Bupa Lab, part of Bupa, La Florida, Santiago, Chile.

Heliyon
|January 27, 2025
PubMed
Summary
This summary is machine-generated.

A 4-sample pool for SARS-CoV-2 testing offers the best balance between reagent efficiency and analytical sensitivity. Pooling more than 8 samples yields minimal reagent savings and significantly reduces test sensitivity.

Keywords:
EfficiencyPool testingPublic healthSARS-CoV-2Sensitivity

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Area of Science:

  • Virology
  • Epidemiology
  • Biostatistics

Background:

  • The COVID-19 pandemic necessitated widespread SARS-CoV-2 testing for containment.
  • Sample pooling enhances testing capacity but optimal pool size is often based on economics, not analytical performance.
  • Current pooling strategies may compromise diagnostic accuracy.

Purpose of the Study:

  • To develop a mathematical model for optimizing sample pooling in RT-qPCR testing.
  • To determine pooling conditions that maximize both reagent efficiency and analytical sensitivity.
  • To evaluate the impact of pool size on SARS-CoV-2 detection sensitivity.

Main Methods:

  • A mathematical model was created to assess pooling strategies.
  • Samples were tested individually and in pools of 2 to 12.
  • Passing Bablok regression analyzed Ct value shifts across different pool sizes.
  • Sensitivity was estimated based on 1,030 individually tested positive samples.

Main Results:

  • Maximum reagent efficiency was observed with 4-sample pools.
  • Pooling beyond 8 samples offered negligible reagent savings.
  • Analytical sensitivity decreased significantly with increasing pool size, dropping to 77.09%-80.87% for 12-sample pools.
  • A 4-sample pool showed a sensitivity range of 87.18%-92.52%.

Conclusions:

  • A 4-sample pooling strategy optimizes reagent use and maintains high analytical sensitivity for SARS-CoV-2 detection.
  • This optimized pooling approach is crucial for scaling up testing capacity and improving infectious disease surveillance.
  • Balancing efficiency and sensitivity in pooling is key for effective pandemic response.