MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1021/acsomega.2c02920

Медицинская библиотека · ACS omega · 2022

Novel B and N Sites of One-Dimensional Boron Nitride Fiber: Efficient Performance and Mechanism in the Formaldehyde Capture Process.

Yuan Wenjing, Wu Yaoyao, Qi Tao, Wan Yinhua, Zhang Shuping, Zhang Baozhi, Zhou Hengcheng, Shi Lili, Peng Guan, Shi Shaoyuan

СтатьяПеревод в очереди

Аннотация

Identification of adsorption centers with atomic levels of adsorbents is crucial to study the adsorption of formaldehyde (HCHO), especially for an in-depth understanding of the mechanism of HCHO capture. Herein, we investigate the HCHO adsorption performance of one-dimensional (1D) nanoporous boron nitride (BN) fiber, and explore the adsorption mechanism by density functional theory (DFT) calculations, including adsorption energy change and Bader charge change, and experimental study as well. Research shows that the 1D nanoporous BN fiber possesses a high concentration of Lewis pairs, which act as Lewis acid and Lewis base sites associated with the fiber's electron-deficient and electron-rich features. It is worth noting that the HCHO removal efficiency of a typical sample is as high as 91%. This work may open the door to the field of adsorption of other pollutants by constructing Lewis pairs in the future.

Для цитирования: Yuan Wenjing, Wu Yaoyao, Qi Tao, Wan Yinhua, Zhang Shuping, Zhang Baozhi, Zhou Hengcheng, Shi Lili, Peng Guan, Shi Shaoyuan. Novel B and N Sites of One-Dimensional Boron Nitride Fiber: Efficient Performance and Mechanism in the Formaldehyde Capture Process.. ACS omega. 2022. DOI: 10.1021/acsomega.2c02920.
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.