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RecruitingNCT05692830Updated Aug 6, 2025

Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms

An observational study in Alcohol Drinking and Alcohol Intoxication, sponsored by University of Illinois at Urbana-Champaign. Recruiting at 1 site in United States. Open to participants aged 21 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-08-06.

Primary conditionAlcohol Drinking(the registry's first term)UnverifiedIs this wrong?Alcohol Drinking is a broad heading, used only when no more specific condition is named. No better condition is named, so the registry's term is kept.

Sponsored by University of Illinois at Urbana-Champaign · Observational

From the registry’s dates

  • Primary completion was expected by Aug 2026, 3 months ago, but the record still lists the study as recruiting.
  • Started Oct 2022; still recruiting 4 years later.
Study type
Observational
Model
Other
Time perspective
Other
Enrollment
240
Ages
21 Years and older
Sex
All
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Study summary

The study will employ a combined laboratory-ambulatory design. Participants will engage in ambulatory assessment over the course of 14 days, wearing biosensors assessing transdermal alcohol concentration (TAC) and providing breathalyzer readings in real-world contexts. Also during this period, participants will attend three laboratory alcohol-administration sessions scheduled at one-week intervals, with alcohol dose and rate of consumption manipulated within and between participants, respectively. Laboratory visits will also double as ambulatory orientation, check-in, and close-out sessions.

Read the detailed description

Laboratory Procedures: The aim of the laboratory study is to capture variability in the TAC-BAC relationship across individuals in a controlled context, featuring manipulations theorized to confound transdermal measurements of BAC and so ensuring adequate variability in these factors in the broader dataset. Laboratory alcohol-administration sessions will be held at one-week intervals, scheduled at study initiation (day 0), study midpoint (day 7), and study end (day 14).

Alcohol-administration procedures will employ a within (alcohol dose) X between (rate of consumption) participant design. All participants will consume three doses of alcohol over the course of the three laboratory sessions, targeting peak blood alcohol concentration (BAC) levels of .03%, .06%, and .09% respectively. The order of alcohol doses will be counterbalanced across participants. The exact quantity of alcohol administered to each participant in order to achieve these target peak BACs will be calculated based on individualized formulas adjusting for drinking rate, sex, height, weight, and age (see formulas provided in Watson et al., (1981)). Rate of consumption will be manipulated between participants, with equal numbers of participants assigned to consume alcohol at relatively "fast" and "slow" rates. Beverage intake will be monitored to ensure participant comfort and even consumption across the beverage administration period. After beverage administration, participants will provide breath alcohol concentration (BrAC) readings at 10- min intervals.

In addition, during the laboratory procedures, participants will be exposed to environmental factors that are known to impact readings taken by transdermal sensors. These manipulations will allow the research team to train the machine learning algorithm to recognize and model for these environmental effects. These manipulations include: 1) Environmental alcohol: common household products containing alcohol (e.g., hand sanitizer, perfume, lotion containing alcohol) will be sprayed or applied in proximity to the transdermal sensor; 2) Sweating: Participants will be asked to engage in a brief 10-30 minute aerobic exercise while in a seated position (i.e., stationary biking) while under the supervision of a research assistant. This brief exercise will be designed simply to yield exertion to the point of sweating and not exertion beyond this point; 3) Arm Movements: Participants will be asked to engage in isolated body movements (e.g., arms and feet) to determine whether device shifting caused by such movements impact readings taken by transdermal sensors.

Ambulatory Procedures: This arm of the study aims to capture the TAC-BAC relationship among participants drinking in everyday settings. Ambulatory assessment will take place over 14 days. During laboratory session 1, prior to beverage administration, participants will be oriented to ambulatory study procedures. One or more transdermal device will be worn throughout participation. During orientation, participants will be trained to use the mobile breathalyzer. To avoid contamination of breathalyzer readings by mouth alcohol, participants will be instructed to wait 5 minutes after their last sip of alcohol to provide a reading. Also during this orientation session, participants will receive training in standard drink reporting (used to validate breathalyzer readings). During ambulatory assessment, participants will provide breathalyzer readings in response to both random and user-initiated prompts via their smartphones. On day 14 of the study, participants will attend a final laboratory session during which they will return study equipment as well as complete questionnaires asking them to reflect on their experience using the transdermal sensors and their likelihood to adopt a transdermal sensor application.

Since initial record creation, the study start date has been updated to conform to current ICMJE pre-registration requirements. Only participants recruited subsequent, and not prior to, this updated initiation date are included in reports from the main trial.

02

Conditions studied

  • Alcohol Drinking
  • Alcohol Intoxication

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Keywords

  • transdermal alcohol content
  • ambulatory
  • transdermal biosensor
  • machine learning algorithms
  • breath alcohol content
03

In context

Alcohol Drinking Unverified

701 studies on the registry are indexed under Alcohol Drinking; 133 are open to participants now.

This study's planned enrollment of 240 is below the median of 312 across 74 observational studies indexed under Alcohol Drinking.

Browse Alcohol Drinking studies →

Lead sponsor

University of Illinois at Urbana-Champaign is the lead sponsor of 191 studies on the registry; 29 are open to participants now.

Compared within Alcohol Drinking, the registry's first condition term, which may not be this study's main condition. Counted across the registry records on this site, refreshed daily. How we classify →

04

Who can participate

Ages eligible
21 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Regular healthy drinkers aged 21+

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • 21 years or older
  • drink alcohol at least 2x weekly

Exclusion criteria

Exclusion Criteria:

  • psychological or medical conditions that might contraindicate alcohol-administration
  • history of adverse reaction to type and amount of beverage used in the study
  • currently seeking treatment for alcohol use disorder
  • does not drink alcohol regularly
  • taking drugs or medications for which alcohol consumption would be
  • women who are pregnant or are attempting to become pregnant
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Observational model
Other
Time perspective
Other
Enrollment
240 participants (estimated)
Patient registry
No

Interventions

  • Alcohol administered orally at multiple doses and consumption speeds to test transdermal device accuracy

06

What researchers measure

Primary outcomes

  1. Transdermal estimates of alcohol consumption

    We will assess the accuracy of transdermal estimates of drinking vs sobriety

    Time frame: Across the 14 day period of the study

  2. Transdermal estimates of drinking risk level

    We will assess the accuracy of transdermal estimates of high risk drinking vs low risk drinking and sobriety

    Time frame: Across the 14 day period of the study

  3. Transdermal estimates of blood alcohol concentration

    We will assess the accuracy of transdermal estimates of blood alcohol concentration (BAC)

    Time frame: Across the 14 day period of the study

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • White AM. What happened? Alcohol, memory blackouts, and the brain. Alcohol Res Health. 2003;27(2):186-96. PubMed 15303630 ↗
  • Leffingwell TR, Cooney NJ, Murphy JG, Luczak S, Rosen G, Dougherty DM, Barnett NP. Continuous objective monitoring of alcohol use: twenty-first century measurement using transdermal sensors. Alcohol Clin Exp Res. 2013 Jan;37(1):16-22. doi: 10.1111/j.1530-0277.2012.01869.x. Epub 2012 Jul 23. PubMed 22823467 ↗
  • Alessi SM, Barnett NP, Petry NM. Experiences with SCRAMx alcohol monitoring technology in 100 alcohol treatment outpatients. Drug Alcohol Depend. 2017 Sep 1;178:417-424. doi: 10.1016/j.drugalcdep.2017.05.031. Epub 2017 Jun 28. PubMed 28709081 ↗
  • Fairbairn CE, Kang D, Bosch N. Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory. Drug Alcohol Depend. 2020 Nov 1;216:108205. doi: 10.1016/j.drugalcdep.2020.108205. Epub 2020 Aug 1. PubMed 32853998 ↗
  • Kerr WC, Patterson D, Koenen MA, Greenfield TK. Alcohol content variation of bar and restaurant drinks in Northern California. Alcohol Clin Exp Res. 2008 Sep;32(9):1623-9. doi: 10.1111/j.1530-0277.2008.00741.x. Epub 2008 Jul 8. PubMed 18616674 ↗
  • Mohan AMV, Windmiller JR, Mishra RK, Wang J. Continuous minimally-invasive alcohol monitoring using microneedle sensor arrays. Biosens Bioelectron. 2017 May 15;91:574-579. doi: 10.1016/j.bios.2017.01.016. Epub 2017 Jan 10. PubMed 28088750 ↗
  • Webster GD, Gabler HC. Feasibility of transdermal ethanol sensing for the detection of intoxicated drivers. Annu Proc Assoc Adv Automot Med. 2007;51:449-64. PubMed 18184507 ↗
  • Luczak SE, Rosen IG. Estimating BrAC from transdermal alcohol concentration data using the BrAC estimator software program. Alcohol Clin Exp Res. 2014 Aug;38(8):2243-52. doi: 10.1111/acer.12478. PubMed 25156615 ↗
  • Wang Y, Fridberg DJ, Leeman RF, Cook RL, Porges EC. Wrist-worn alcohol biosensors: Strengths, limitations, and future directions. Alcohol. 2019 Dec;81:83-92. doi: 10.1016/j.alcohol.2018.08.013. Epub 2018 Sep 1. PubMed 30179709 ↗
  • Fairbairn CE, Kang D. Temporal Dynamics of Transdermal Alcohol Concentration Measured via New-Generation Wrist-Worn Biosensor. Alcohol Clin Exp Res. 2019 Oct;43(10):2060-2069. doi: 10.1111/acer.14172. Epub 2019 Aug 30. PubMed 31469451 ↗
  • Hill-Kapturczak N, Roache JD, Liang Y, Karns TE, Cates SE, Dougherty DM. Accounting for sex-related differences in the estimation of breath alcohol concentrations using transdermal alcohol monitoring. Psychopharmacology (Berl). 2015 Jan;232(1):115-23. doi: 10.1007/s00213-014-3644-9. Epub 2014 Jun 13. PubMed 24923985 ↗
  • Fairbairn CE, Bresin K, Kang D, Rosen IG, Ariss T, Luczak SE, Barnett NP, Eckland NS. A multimodal investigation of contextual effects on alcohol's emotional rewards. J Abnorm Psychol. 2018 May;127(4):359-373. doi: 10.1037/abn0000346. PubMed 29745701 ↗
  • Dougherty DM, Charles NE, Acheson A, John S, Furr RM, Hill-Kapturczak N. Comparing the detection of transdermal and breath alcohol concentrations during periods of alcohol consumption ranging from moderate drinking to binge drinking. Exp Clin Psychopharmacol. 2012 Oct;20(5):373-81. doi: 10.1037/a0029021. Epub 2012 Jun 18. PubMed 22708608 ↗
  • Hill-Kapturczak N, Lake SL, Roache JD, Cates SE, Liang Y, Dougherty DM. Do variable rates of alcohol drinking alter the ability to use transdermal alcohol monitors to estimate peak breath alcohol and total number of drinks? Alcohol Clin Exp Res. 2014 Oct;38(10):2517-22. doi: 10.1111/acer.12528. Epub 2014 Oct 21. PubMed 25335857 ↗
  • Rash CJ, Petry NM, Alessi SM, Barnett NP. Monitoring alcohol use in heavy drinking soup kitchen attendees. Alcohol. 2019 Dec;81:139-147. doi: 10.1016/j.alcohol.2018.10.001. Epub 2018 Oct 8. PubMed 30308286 ↗
  • Sirlanci M, Rosen IG, Wall TL, Luczak SE. Applying a novel population-based model approach to estimating breath alcohol concentration (BrAC) from transdermal alcohol concentration (TAC) biosensor data. Alcohol. 2019 Dec;81:117-129. doi: 10.1016/j.alcohol.2018.09.005. Epub 2018 Sep 20. PubMed 30244026 ↗
  • Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Ann Behav Med. 2018 May 18;52(6):446-462. doi: 10.1007/s12160-016-9830-8. PubMed 27663578 ↗
  • Sirlanci M, Luczak SE, Fairbairn CE, Kang D, Pan R, Yu X, Rosen IG. Estimating the Distribution of Random Parameters in a Diffusion Equation Forward Model for a Transdermal Alcohol Biosensor. Automatica (Oxf). 2019 Aug;106:101-109. doi: 10.1016/j.automatica.2019.04.026. Epub 2019 May 16. PubMed 31814628 ↗
  • Fairbairn CE, Rosen IG, Luczak SE, Venerable WJ. Estimating the quantity and time course of alcohol consumption from transdermal alcohol sensor data: A combined laboratory-ambulatory study. Alcohol. 2019 Dec;81:111-116. doi: 10.1016/j.alcohol.2018.08.015. Epub 2018 Sep 1. PubMed 30179707 ↗
  • Barnett NP, Meade EB, Glynn TR. Predictors of detection of alcohol use episodes using a transdermal alcohol sensor. Exp Clin Psychopharmacol. 2014 Feb;22(1):86-96. doi: 10.1037/a0034821. PubMed 24490713 ↗
  • Sirlanci M, Rosen IG, Luczak SE, Fairbairn CE, Bresin K, Kang D. Deconvolving the input to random abstract parabolic systems: a population model-based approach to estimating blood/breath alcohol concentration from transdermal alcohol biosensor data. Inverse Probl. 2018 Dec;34(12):125006. doi: 10.1088/1361-6420/aae791. Epub 2018 Nov 9. PubMed 31892764 ↗
  • Figueroa RL, Zeng-Treitler Q, Kandula S, Ngo LH. Predicting sample size required for classification performance. BMC Med Inform Decis Mak. 2012 Feb 15;12:8. doi: 10.1186/1472-6947-12-8. PubMed 22336388 ↗
  • Dai Z, Rosen IG, Wang C, Barnett N, Luczak SE. Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors. Math Biosci Eng. 2016 Oct 1;13(5):911-934. doi: 10.3934/mbe.2016023. PubMed 27775390 ↗
  • Dawson DA, Goldstein RB, Saha TD, Grant BF. Changes in alcohol consumption: United States, 2001-2002 to 2012-2013. Drug Alcohol Depend. 2015 Mar 1;148:56-61. doi: 10.1016/j.drugalcdep.2014.12.016. Epub 2014 Dec 23. PubMed 25620731 ↗
  • Bradford DE, Shapiro BL, Curtin JJ. How bad could it be? Alcohol dampens stress responses to threat of uncertain intensity. Psychol Sci. 2013 Dec;24(12):2541-9. doi: 10.1177/0956797613499923. Epub 2013 Oct 21. PubMed 24145332 ↗
  • Moberg CA, Weber SM, Curtin JJ. Alcohol dose effects on stress response to cued threat vary by threat intensity. Psychopharmacology (Berl). 2011 Nov;218(1):217-27. doi: 10.1007/s00213-011-2304-6. Epub 2011 Apr 19. PubMed 21503605 ↗
  • Delgado MK, Shofer F, Wetherill R, Curtis B, Hemmons J, Spencer E, Branas C, Wiebe DJ, Kranzler HR. Accuracy of Consumer-marketed smartphone-paired alcohol breath testing devices: A laboratory validation study. Alcohol Clin Exp Res. 2021 May;45(5):1091-1099. doi: 10.1111/acer.14597. Epub 2021 May 9. PubMed 33966283 ↗

Individual participant data

Plan to share: Undecided

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 6, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05692830
Responsible party
Catharine Fairbairn (Associate Professor, University of Illinois at Urbana-Champaign) — Principal investigator
First posted
Jan 20, 2023
Start date
Oct 22, 2022
Primary completion
Aug 1, 2026 (estimated)
Completion
Sep 1, 2027 (estimated)
Last update
Aug 6, 2025

Study contacts

Catharine Fairbairn, PhD
Contact
uiucalcohollab@gmail.com
217-300-5850
Catharine Fairbairn, PhD
principal investigator · University of Illinois Urbana-Champaign

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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