MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1002/advs.202408771

Медицинская библиотека · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025

Enhancing RT-PCR Throughput and Sensitivity through Large-Scale Sample Pooling Using a Nano-Hybrid Membrane.

Lee Na Eun, Kim Kang Hyeon, Hong Ji Hye, Lee Seungmin, Park Jeong Soo, Lee Dohwan, Yoon Dae Sung, Lee Jeong Hoon

СтатьяПеревод пока не подготовлен

Аннотация

During the pandemic surge, including SARS-CoV-2 and influenza, pooling samples emerged as an efficient strategy to identify infected individuals in large groups. While pooling enhances RT-PCR throughput, reducing costs and resources, it dilutes positive samples with negative ones, lowering sensitivity and increasing false negatives. This study proposes a new method to address the trade-off between pool sizes and RT-PCR accuracy. This method integrates large-scale pooling with sample enrichment using a nano-hybrid membrane, preventing the pooling-induced decrease in viral concentration and maintaining cycle threshold (Ct) values close to individual positive samples. The nano-hybrid membrane, named SIMPLE (streamlined, simple, and inexpensive method for preconcentration, lysis, and nucleic acid extraction), comprises layered red blood cell membranes, polyethersulfone, and silica membranes. Using SIMPLE, a Ct value reduction to ≈2.6 is demonstrated in pooled COVID-19 samples with a pool size of 6 and found Ct values from larger pool sizes (8, 16, 32, 64, and 128) comparable to individual positive samples.

Для цитирования: Lee Na Eun, Kim Kang Hyeon, Hong Ji Hye, Lee Seungmin, Park Jeong Soo, Lee Dohwan, Yoon Dae Sung, Lee Jeong Hoon. Enhancing RT-PCR Throughput and Sensitivity through Large-Scale Sample Pooling Using a Nano-Hybrid Membrane.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). 2025. DOI: 10.1002/advs.202408771.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.