Exploring the utility of robots in exposure studies.

Exposure modeling Personal exposure Robots Volatile organic compounds

Journal

Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796

Informations de publication

Date de publication:
07 2021
Historique:
received: 08 04 2019
accepted: 10 09 2019
revised: 30 08 2019
pubmed: 21 11 2019
medline: 7 8 2021
entrez: 21 11 2019
Statut: ppublish

Résumé

Obtaining valid, reliable quantitative exposure data can be a significant challenge for industrial hygienists, exposure scientists, and other health science professionals. In this proof-of-concept study, a robotic platform was programmed to perform a simple task as a plausible alternative to human subjects in exposure studies for generating exposure data. The use of robots offers several advantages over the use of humans. Research can be completed more efficiently and there is no need to recruit, screen, or train volunteers. In addition, robots can perform tasks repeatedly without getting tired allowing for collection of an unlimited number of measurements using different chemicals to assess exposure impacts from formulation changes and new product development. The use of robots also eliminates concerns with intentional human exposures while removing health research ethics review requirements which are time consuming. In this study, a humanoid robot was programmed to paint drywall, while volatile organic compounds were measured in air for comparison to model estimates. The measured air concentrations generally agreed with more advanced exposure model estimates. These findings suggest that robots have potential as a methodology for generating exposure measurements relevant to human activities, but without using human subjects.

Identifiants

pubmed: 31745180
doi: 10.1038/s41370-019-0190-x
pii: 10.1038/s41370-019-0190-x
pmc: PMC7234925
mid: NIHMS1541797
doi:

Substances chimiques

Volatile Organic Compounds 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

784-794

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES005022
Pays : United States
Organisme : NIEHS NIH HHS
ID : T32 ES019854
Pays : United States

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Auteurs

Elisabeth Feld-Cook (E)

Environmental and Occupational Health Sciences Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.

Rahul Shome (R)

PRACSYS Lab, Department of Computer Science, School of Arts and Sciences at Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.

Rosemary T Zaleski (RT)

ExxonMobil Biomedical Sciences Inc., Annandale, NJ, 08801, USA.

Krishnan Mohan (K)

Environmental and Occupational Health Sciences Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.

Hristiyan Kourtev (H)

PRACSYS Lab, Department of Computer Science, School of Arts and Sciences at Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.

Kostas E Bekris (KE)

PRACSYS Lab, Department of Computer Science, School of Arts and Sciences at Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.

Clifford P Weisel (CP)

Environmental and Occupational Health Sciences Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.

Jennifer Mi K Shin (JMK)

ExxonMobil Biomedical Sciences Inc., Spring, TX, 77389, USA. jennifer.shin@exxonmobil.com.

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