MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3389/fvets.2025.1517845

Медицинская библиотека · Frontiers in veterinary science · 2025

Development of an internalin-based double-antibody sandwich quantitative ELISA for the detection of Listeria monocytogenes in slaughterhouse environments.

Cao Qing, Shi Wenjing, Wei Yanquan, Wang Jiayu, Wang Zhonglong, Chong Qian, Guo Qianqian, Zhang Kunzhong, Gai Wenyan, Gou Huitian, Xue Huiwen

СтатьяПеревод в очереди

Аннотация

INTRODUCTION

Listeria monocytogenes causes zoonotic listeriosis with a high mortality rate, which is frequently detected in slaughterhouse processing environments and animal-based food. To enable the specific, rapid, and cost-effective detection of L. monocytogenes in environments and animal-based food, we developed a double-antibody sandwich quantitative ELISA (DAS-qELISA) method.

METHODS

The method is based on monoclonal antibodies targeting internalin G (InlG), a surface protein of L. monocytogenes with demonstrated immunogenicity. The antibody pair 1D2-2H10 was selected for use in the sandwich ELISA format. Optimization of the DAS-qELISA method was carried out to determine its detection limits for InlG protein and L. monocytogenes.

RESULTS

The detection limits of the method were determined to be 32 ng/mg for the InlG protein and 7875.83 CFU/mL for L. monocytogenes. The accuracy of the method was evaluated across various bacterial concentrations, with results falling within 91.56-107.07% and a coefficient of variation (CV) of less than 10%. Compared to traditional methods, this approach requires only 12 h of bacterial enrichment and incubation to achieve 100% accuracy.

DISCUSSION: The DAS-qELISA developed in this study provides a rapid, accurate, and cost-effective tool for the detection of L. monocytogenes in environmental and animal-based food samples. This method could be a valuable addition to current diagnostic approaches, offering quicker turnaround times and high accuracy for pathogen detection.

Для цитирования: Cao Qing, Shi Wenjing, Wei Yanquan, Wang Jiayu, Wang Zhonglong, Chong Qian, Guo Qianqian, Zhang Kunzhong, Gai Wenyan, Gou Huitian, Xue Huiwen. Development of an internalin-based double-antibody sandwich quantitative ELISA for the detection of Listeria monocytogenes in slaughterhouse environments.. Frontiers in veterinary science. 2025. DOI: 10.3389/fvets.2025.1517845.
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.