Advances in Nanotechnology-Enabled Optical Biosensors for Dengue Virus Detection: A Systematic Review.
Аннотация
The dramatic surge in dengue cases in early 2024, endangering half the global population, urgently necessitates faster diagnostic methods. Nanotechnology-enabled optical biosensors offer a promising avenue, leveraging nanomaterial properties for highly sensitive detection of dengue virus (DENV), potentially surpassing conventional techniques in terms of simplicity, speed, and cost-effectiveness. This systematic review analyzes recent advancements in these biosensors for DENV diagnosis. Following PRISMA 2020 guidelines, we systematically searched PubMed, Embase, Scopus, Web of Science, and Cochrane Library databases (2010-June 1, 2025; OSF: https://osf.io/3gmey/). The methodological quality of the 98 included studies was assessed using a modified CASP checklist. Diverse nanotechnology-based optical biosensors were identified. SPR (36.7%) was the most common transducer, followed by fluorescence (24.5%), colorimetry (15.3%), and SERS (8.2%). Gold-based nanomaterials (35.7%) were most frequently employed, with silver nanomaterials (15.3%), quantum dots (15.3%), and graphene-based materials (15.3%) also showing promise. DENV NS1 protein was the primary target analyte (21.4%). Importantly, almost half of the studies (44.9%) used clinically relevant human samples. While many optical biosensors show promise, challenges hinder their demonstration of the true potential for point-of-care use in their current format; however, they offer high specificity and faster results, laying a strong foundation for cost-effective clinical diagnostics. Nanotechnology-driven optical biosensors offer a transformative approach for DENV detection. Advances in computational design and green synthesis of novel nanomaterials are key to addressing stability and field-deployment challenges. These innovations are crucial for developing robust, sensitive, and user-friendly tools to manage dengue and improve patient outcomes globally.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
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.