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首页> 外文期刊>Advanced Functional Materials >Hierarchical Nucleophilic Nanofibrous Membranes for Fast, Durable, and Bare-Eye Visible Detoxification of Carcinogenic Alkylating Toxicants
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Hierarchical Nucleophilic Nanofibrous Membranes for Fast, Durable, and Bare-Eye Visible Detoxification of Carcinogenic Alkylating Toxicants

机译：分层的亲核纳米纤维膜，用于快速，持久和裸眼可见的对致癌性烷基化毒物的排毒

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摘要

Colorimetric-warning detoxification nanofibrous membranes (CDNMs) are easily and directly fabricated from electrospinning of a mixture of poly(4-vinylpyridine), 4-(p-nitrobenzyl)pyridine, and polyacrylonitrile. They exhibit hierarchical fiber morphology, ensuring fast and efficient detoxification toward alkylating toxicants. Taking advantage of their microporous structure, high specific surface area, and strong affinity toward toxicants of the nanofibers, the CDNMs exhibit a detoxification rate independent from the initial toxicant concentration (half-lives are less than 8 min), and excellent detoxification durability and capacity with detoxification recovery rates retained >90% after 250 times cleaning of 3467 ppm methyl iodide. More importantly, a colorimetric signal that can monitor the detoxification process and expiration of the function is reported. An accumulative color change from white to brownish yellow on the CDNMs indicates the detoxification efficiency drops to less than 50%, which serves as a warning signal for a replacement of the CDNMs in personal protective equipment products. The detoxification and color generation mechanisms are theoretically supported by Gaussian calculations. This work is expected to inspire the introduction of instrument-free detection signals into the design and development of next-generation of self-decontamination and detoxification materials.
机译：可以通过静电纺丝聚（4-乙烯基吡啶），4-（对硝基苄基）吡啶和聚丙烯腈的混合物轻松而直接地制备比色警告解毒纳米纤维膜（CDNM）。它们具有分层的纤维形态，可确保对烷基化有毒物质进行快速有效的排毒。利用其微孔结构，高比表面积和对纳米纤维中毒物的强亲和力，CDNM的解毒率与初始毒物浓度无关（半衰期少于8分钟），并且具有出色的解毒耐久性和容量在清洗3467 ppm碘甲烷250次后，排毒回收率保持> 90％。更重要的是，报告了可以监测排毒过程和功能到期的比色信号。 CDNM上的累积颜色从白色变为棕黄色，表明解毒效率降至50％以下，这是在个人防护用品产品中替换CDNM的警告信号。高斯计算从理论上支持了排毒和颜色生成机制。这项工作有望激发将无仪器的检测信号引入下一代自净化和排毒材料的设计和开发中。

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