A Discreet Wearable IoT Sensor for Continuous Transdermal Alcohol Monitoring - Challenges and Opportunities.
A Discreet Wearable IoT Sensor for Continuous Transdermal Alcohol Monitoring - Challenges and Opportunities.
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DOI：
10.1109/jsen.2020.3030254
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发表时间：
2021-02-15
影响因子：
4.3
通讯作者：
Li Z
中科院分区：
文献类型：
--
作者：
Li B;Downen RS;Dong Q;Tran N;LeSaux M;Meltzer AC;Li Z
无创连续酒精（乙醇）监测在人口研究和急性酒精中毒或慢性酒精中毒的临床管理中具有潜在的应用。当前基于经皮酒精含量（TAC）感测的可穿戴监测器具有有限的可接近性和血液酒精含量（BAC）量化准确性。在这里，我们描述了一个独立的谨慎的穿戴式透皮酒精（TAC）传感器的腕带或臂章的形式的发展。该传感器可检测汗液中的气相酒精，范围从0.09 ppm（相当于亨利定律平衡下25 °C时汗液中的酒精浓度为0.09 mg/dL）到超过500 ppm，时间分辨率为1分钟。此外，采用数字传感器来监测感测室内的温度和湿度水平。招募了两名男性人类受试者，使用校准的原型TAC传感器进行酒精消耗的研究，以验证性能。我们的初步数据表明，在良好的控制条件下，该传感器可以在低剂量（1-2标准饮料）下获得TAC曲线。此外，可以容易地区分不同剂量的TAC数据。然而，大量的人际和自我的测量数据的变异性也观察到在实验中控制条件较少。我们的观察表明，出汗率可能是一个重要的影响因素，这些变量。需要进一步研究足够的样本量，以验证和表征不同出汗率对TAC传感器的影响，这可能会在未来为更可重复和准确的传感器设计提供信息。
Non-invasive continuous alcohol (ethanol) monitoring has potential applications in both population research and in clinical management of acute alcohol intoxication or chronic alcoholism. Current wearable monitors based on transdermal alcohol content (TAC) sensing have limited accessibility and blood alcohol content (BAC) quantification accuracy. Here we describe the development of a self-contained discreet wearable transdermal alcohol (TAC) sensor in the form of a wristband or armband. This sensor can detect vapor-phase alcohol in perspiration from 0.09 ppm (equivalent to 0.09 mg/dL sweat alcohol concentration at 25 °C under Henry’s Law equilibrium) to over 500 ppm at one-minute time resolution. Additionally, a digital sensor was employed to monitor the temperature and humidity levels inside the sensing chamber. Two male human subjects were recruited to conduct studies with alcohol consumption using calibrated prototype TAC sensors to validate the performance. Our preliminary data demonstrated that, under well-controlled conditions, this sensor can acquire TAC curves at low doses (1–2 standard drinks). Moreover, TAC data for different doses can be easily distinguished. However, substantial interpersonal and intrapersonal variabilities in measurement data were also observed in experiments with less controlled conditions. Our observations suggest that perspiration rate might be an important contributing factor to these variabilities. Further studies with sufficient sample sizes are required to validate and characterize the impact of different perspiration rates on TAC sensors, which may inform more reproducible and accurate sensor designs in the future.
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影响因子：
5
作者：
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