MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1021/acsnano.6c11507

Медицинская библиотека · ACS nano · 2026

Upgrading Mixed Textile Waste to Nano Onion-Like Fullerenes by the Two-Step Flash Joule Heating.

Yang Qiang, Cui Peixin, Pu Shuailei, Bu Yongguang, Zhu Xiangdong, Deng Bing, Wang Yujun, Fan Jintu, Zhang Hanchao

СтатьяПеревод пока не подготовлен

Аннотация

Real-world mixed textile waste streams seriously hinder recycling. Herein, we present a two-step flash Joule heating (FJH) strategy for directly upgrading mixed textile waste into ordered multilayer nano onion-like fullerenes (NOLFs). The interaction between different fibers, termed a "scaffolding effect" involving physical confinement and chemical bonding, was strengthened by the precarbonization (280 °C) treatment. Consequently, the polyester/cotton mixture can be upgraded to NOLFs within 5 s with high quality (I2D/IG = 1.47) and yield (41.6%) at 2000 °C, and this technology can be successfully extended to other textiles and solid wastes (polyamide, straws, etc.). The evolution pathway of carbon atoms leading to the formation of the core pentagonal/hexagonal ring structure in NOLFs was systematically investigated in this work. Moreover, an automated FJH prototype was developed to produce NOLFs with 86.4 g·day-1 continuously, and these NOLFs derived an excellent performance as electrode and lubricant.

Для цитирования: Yang Qiang, Cui Peixin, Pu Shuailei, Bu Yongguang, Zhu Xiangdong, Deng Bing, Wang Yujun, Fan Jintu, Zhang Hanchao. Upgrading Mixed Textile Waste to Nano Onion-Like Fullerenes by the Two-Step Flash Joule Heating.. ACS nano. 2026. DOI: 10.1021/acsnano.6c11507.
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.