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Enhancing RT-PCR Throughput and Sensitivity through Large-Scale Sample Pooling Using a Nano-Hybrid Membrane
Na Eun Lee1,2, Kang Hyeon Kim1, Ji Hye Hong1,3
1Department of Electrical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|January 21, 2025
Summary
This study introduces a novel nano-hybrid membrane method to improve RT-PCR accuracy for pooled samples. It prevents viral dilution, maintaining sensitivity for accurate detection of SARS-CoV-2 and influenza.
Area of Science:
- Molecular Biology
- Virology
- Biomaterials Science
Background:
- Sample pooling enhances RT-PCR throughput for infectious disease surveillance during outbreaks like SARS-CoV-2 and influenza.
- However, pooling dilutes positive samples, reducing assay sensitivity and increasing false negatives, posing a challenge for accurate detection.
Purpose of the Study:
- To develop an innovative method that overcomes the sensitivity limitations of sample pooling in RT-PCR.
- To maintain high accuracy and reduce false negatives in large-scale viral detection using pooled samples.
Main Methods:
- A novel nano-hybrid membrane, SIMPLE (streamlined, simple, and inexpensive method for preconcentration, lysis, and nucleic acid extraction), was developed.
- This membrane integrates layered red blood cell membranes, polyethersulfone, and silica for sample enrichment.
- The method was tested with pooled COVID-19 samples of varying sizes.
Main Results:
- The SIMPLE method effectively prevented pooling-induced decreases in viral concentration.
- Cycle threshold (Ct) values in pooled samples remained comparable to those of individual positive samples.
- A Ct value reduction of approximately 2.6 was observed in pooled samples with a pool size of 6.
Conclusions:
- The SIMPLE nano-hybrid membrane technology offers a promising solution to enhance RT-PCR accuracy in pooled sample testing.
- This method significantly improves the efficiency and reliability of large-scale viral detection, particularly for SARS-CoV-2 and influenza surveillance.
- The approach addresses the critical trade-off between pool size and diagnostic sensitivity in molecular testing.

