MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1021/acssensors.2c00754

Медицинская библиотека · ACS sensors · 2022

Smartphone-Based High-Throughput Fiber-Integrated Immunosensing System for Point-of-Care Testing of the SARS-CoV-2 Nucleocapsid Protein.

Wu Ze, Wang Cong, Liu Bochao, Liang Chaolan, Lu Jinhui, Li Jinfeng, Tang Xi, Li Chengyao, Li Tingting

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

To control the coronavirus disease 2019 (COVID-19) pandemic, there is an urgent need for simple, rapid, and reliable detection methods to identify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, especially in community hospitals or clinical centers. The SARS-CoV-2 nucleocapsid protein (NP) is an important index for diagnosis of COVID-19. Here, we proposed a smartphone-based high-throughput fiber-integrated immunosensing system (HFIS) for detecting the SARS-CoV-2 NP in serum samples within 45 min. For the testing of NP standards, the linear detection range was 7.8-1000 pg/mL, the limit of detection was 7.5 pg/mL, and the cut-off value was 8.923 pg/mL. Twenty-five serum samples from clinically diagnosed COVID-19 patients and 100 negative control samples from healthy blood donors were tested for SARS-CoV-2 NP by HFIS, and the obtained results were compared with those of ELISA and Simple Western analysis. The results showed that the HFIS sensitivity and specificity were 72% [95% confidence interval (CI): 52.42-85.72%] and 100% (95% CI: 96.11-100%), respectively, which significantly correlated with those from the commercial ELISA kit and Simple Western analysis. This portable high-throughput HFIS assay could be an alternative test for detecting SARS-CoV-2 NP in blood samples on site.

Для цитирования: Wu Ze, Wang Cong, Liu Bochao, Liang Chaolan, Lu Jinhui, Li Jinfeng, Tang Xi, Li Chengyao, Li Tingting. Smartphone-Based High-Throughput Fiber-Integrated Immunosensing System for Point-of-Care Testing of the SARS-CoV-2 Nucleocapsid Protein.. ACS sensors. 2022. DOI: 10.1021/acssensors.2c00754.

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.