Literature DB >> 33746626

A Discreet Wearable IoT Sensor for Continuous Transdermal Alcohol Monitoring - Challenges and Opportunities.

Baichen Li1, R Scott Downen1, Quan Dong1, Nam Tran1, Maxine LeSaux2, Andrew C Meltzer2, Zhenyu Li1.   

Abstract

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.

Entities:  

Keywords:  BAC; IoT; TAC; ethanol; fuel cell; transdermal alcohol sensor; variability; wearable sensor

Year:  2020        PMID: 33746626      PMCID: PMC7978232          DOI: 10.1109/jsen.2020.3030254

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  23 in total

1.  Sweating: its rapid response to muscular work.

Authors:  W VAN BEAUMONT; R W BULLARD
Journal:  Science       Date:  1963-08-16       Impact factor: 47.728

2.  Objective continuous monitoring of alcohol consumption for three months among alcohol use disorder treatment outpatients.

Authors:  Sheila M Alessi; Nancy P Barnett; Nancy M Petry
Journal:  Alcohol       Date:  2019-01-31       Impact factor: 2.405

3.  Wearable flexible sweat sensors for healthcare monitoring: a review.

Authors:  Michael Chung; Giuseppino Fortunato; Norbert Radacsi
Journal:  J R Soc Interface       Date:  2019-10-09       Impact factor: 4.118

4.  A Wearable IoT Aldehyde Sensor for Pediatric Asthma Research and Management.

Authors:  Baichen Li; Quan Dong; R Scott Downen; Nam Tran; J Hunter Jackson; Dinesh Pillai; Mona Zaghloul; Zhenyu Li
Journal:  Sens Actuators B Chem       Date:  2019-02-19       Impact factor: 7.460

5.  Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors.

Authors:  Zheng Dai; I G Rosen; Chuming Wang; Nancy Barnett; Susan E Luczak
Journal:  Math Biosci Eng       Date:  2016-10-01       Impact factor: 2.080

6.  Temporal Dynamics of Transdermal Alcohol Concentration Measured via New-Generation Wrist-Worn Biosensor.

Authors:  Catharine E Fairbairn; Dahyeon Kang
Journal:  Alcohol Clin Exp Res       Date:  2019-08-30       Impact factor: 3.455

7.  Time Delays in Transdermal Alcohol Concentrations Relative to Breath Alcohol Concentrations.

Authors:  Tara E Karns-Wright; John D Roache; Nathalie Hill-Kapturczak; Yuanyuan Liang; Jillian Mullen; Donald M Dougherty
Journal:  Alcohol Alcohol       Date:  2016-08-13       Impact factor: 2.826

8.  Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.

Authors:  Catharine E Fairbairn; Dahyeon Kang; Nigel Bosch
Journal:  Drug Alcohol Depend       Date:  2020-08-01       Impact factor: 4.492

9.  Social disparities in hazardous alcohol use: self-report bias may lead to incorrect estimates.

Authors:  Marion Devaux; Franco Sassi
Journal:  Eur J Public Health       Date:  2015-11-19       Impact factor: 3.367

10.  Wearable Sweat Rate Sensors for Human Thermal Comfort Monitoring.

Authors:  Jai Kyoung Sim; Sunghyun Yoon; Young-Ho Cho
Journal:  Sci Rep       Date:  2018-01-19       Impact factor: 4.379

View more
  3 in total

Review 1.  Validating transdermal alcohol biosensors: a meta-analysis of associations between blood/breath-based measures and transdermal alcohol sensor output.

Authors:  Jiachen Yu; Catharine E Fairbairn; Laura Gurrieri; Eddie P Caumiant
Journal:  Addiction       Date:  2022-06-12       Impact factor: 7.256

Review 2.  A new generation of transdermal alcohol biosensing technology: practical applications, machine -learning analytics and questions for future research.

Authors:  Catharine E Fairbairn; Nigel Bosch
Journal:  Addiction       Date:  2021-05-11       Impact factor: 7.256

Review 3.  Accuracy of Wearable Transdermal Alcohol Sensors: Systematic Review.

Authors:  Eileen Brobbin; Paolo Deluca; Sofia Hemrage; Colin Drummond
Journal:  J Med Internet Res       Date:  2022-04-14       Impact factor: 7.076

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.