Bianco Giulio Maria, Marrocco Gaetano
Department of Civil Engineering and Computer Science EngineeringUniversity of Tor Vergata 00133 Roma Italy.
IEEE Sens Lett. 2021 Feb 15;5(3):1-4. doi: 10.1109/LSENS.2021.3059348. eCollection 2021 Mar.
Due to the ongoing COVID-19 pandemic, the use of filtering facepiece respirators (FFRs) is increasingly widespread. Since the masks' wetness can reduce its filtering capabilities, the World Health Organization advises to replace the FFRs if they become too damp, but currently, there is no practical way to monitor the masks' wetness. A low-cost moisture sensor placed inside the FFRs could discriminate a slightly damp mask from a wet one, which must be replaced. In this letter, a radio frequency identification (RFID) tag exploiting an auto-tuning microchip for humidity sensing is designed and tested during an ordinary working day and a physical exercise. The tag returns about 1 unit of the digital metric every 3 mg of water generated by breathing and sweating, and it can identify excessively wet masks from commonly used ones.
由于持续的新冠疫情,过滤式面罩呼吸器(FFR)的使用越来越广泛。由于口罩变湿会降低其过滤能力,世界卫生组织建议如果FFR变得过于潮湿就更换,但目前尚无实际方法来监测口罩的湿度。放置在FFR内部的低成本湿度传感器可以区分略微潮湿的口罩和必须更换的湿透口罩。在这封信中,设计了一种利用自动调谐微芯片进行湿度传感的射频识别(RFID)标签,并在正常工作日和体育锻炼期间进行了测试。该标签每检测到由呼吸和出汗产生的3毫克水,就会返回约1个单位的数字指标,并且能够从常用口罩中识别出过度潮湿的口罩。