MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.talanta.2024.126280

Медицинская библиотека · Talanta · 2024

High-performance peptide biosensor based on unified structure of lotus silk.

Wang Zhi, Ma Weichao, Wei Junqing, Lan Kuibo, Yan Shanchun, Chen Ruibing, Qin Guoxuan

СтатьяПеревод в очереди

Аннотация

The sensitive materials of current gas sensors are fabricated on planar substrates, significantly limiting the quantity of sensitive material available on the sensor and the complete exposure of the sensitive material to the target gas. In this work, we harnessed the finest, resilient, naturally degradable, and low-cost lotus silk derived from plant fibers, to fabricate a high-performance bio-sensor for toxic and harmful gas detection, employing peptides with full surface connectivity. The proposed approach to fabricate gas sensors eliminated the need for substrates and electrodes. To ascertain the effectiveness and versatility of the sensors created via this method, sensors for three distinct representative gases (isoamyl alcohol, 4-vinylanisole, and benzene) were prepared and characterized. These sensors surpassed reported detection limits by at least one order of magnitude. The inherent pliancy of lotus silk imparts adaptability to the sensor architecture, facilitating the realization of 1D, 2D, or 3D configurations, all while upholding consistent performance characteristics. This innovative sensor paradigm, grounded in lotus silk, represents great potential toward the advancement of highly proficient bio gas sensors and associated applications.

Для цитирования: Wang Zhi, Ma Weichao, Wei Junqing, Lan Kuibo, Yan Shanchun, Chen Ruibing, Qin Guoxuan. High-performance peptide biosensor based on unified structure of lotus silk.. Talanta. 2024. DOI: 10.1016/j.talanta.2024.126280.

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.