Computer numerical control knitting of high-resolution mosquito bite blocking textiles

Bryan Holt, Kyle Oswalt, Alexa England, Richard Murphy, Isabella Owens, Micaela Finney, Natalie Wong, Sushil Adhikari, James McCann, John Beckmann
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Abstract

Mosquitoes and other biting arthropods transmit diseases worldwide, causing over 700,000 deaths each year, and costing about 3 billion USD annually for Aedes species alone. Insect vectored diseases also pose a considerable threat to agricultural animals. While clothing could provide a simple solution to vector-borne diseases, modern textiles do not effectively block mosquito bites. Here we have designed three micro-resolution knitted structures, with five adjustable parameters that can block mosquito bites. These designs, which exhibit significant bite reduction were integrated into a computer numerical control knitting robot for mass production of bite-blocking garments with minimal human labor. We then quantified the comfort of blocking garments. Our knits enable individuals to protect themselves from insects amidst their day-to-day activities without impacting the environment. Bryan Holt, Kyle Oswalt and colleagues design the mosquito bite-proof knitting pattern. Their approach can be implemented in programmable knitting robots for mass production.

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电脑数控编织高分辨率蚊虫叮咬阻断纺织品。
蚊子和其他叮咬性节肢动物在全球传播疾病,每年造成 70 多万人死亡,仅伊蚊一项每年就造成约 30 亿美元的损失。昆虫传播的疾病也对农业动物构成相当大的威胁。虽然衣物可以为病媒传播疾病提供简单的解决方案,但现代纺织品并不能有效阻挡蚊虫叮咬。在这里,我们设计了三种微分辨率针织结构,具有五个可调参数,可以阻挡蚊虫叮咬。我们将这些能显著减少蚊虫叮咬的设计集成到电脑数控针织机器人中,以最少的人力批量生产阻挡蚊虫叮咬的服装。然后,我们对挡蚊衣的舒适度进行了量化。我们的针织品能让人们在日常活动中保护自己免受昆虫叮咬,同时又不会对环境造成影响。
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