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Sensors (Basel)


Title:Wearable Device for Cumulative Chlorobenzene Detection and Accessible Mitigation Strategies
Author(s):Mago A; Yang YS; Shim JH; John AA;
Address:"Department of Medicine, Division of Rheumatology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA. Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA. Li Weibo Institute for Rare Diseases Research, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA"
Journal Title:Sensors (Basel)
Year:2023
Volume:20230915
Issue:18
Page Number: -
DOI: 10.3390/s23187904
ISSN/ISBN:1424-8220 (Electronic) 1424-8220 (Linking)
Abstract:"Chronic exposure to low concentrations of volatile organic compounds (VOCs), such as chlorobenzene, is not being monitored in industrializing countries, although VOC exposure is associated with carcinogenic, organ-toxic, and endocrine-disrupting effects. Current VOC-sensing technologies are inaccessible due to high cost, size, and maintenance or are ineffective due to poor sensitivity or reliability. In particular, marginalized individuals face barriers to traditional prescription VOC treatments due to cost, lack of transportation, and limited access to physicians; thus, alternative treatments are needed. Here, we created a novel cumulative wearable color-changing VOC sensor with a paper-based polydiacetylene sensor array for chlorobenzene. With a single smartphone picture, the sensor displays 14 days of logged chlorobenzene exposure data, interpreted by machine-learning (ML) techniques, including principal component analysis. Further, we explored the efficacy of affordable and accessible treatment options to mitigate a VOC's toxic effects. Vitamin D and sulforaphane are naturally found in cruciferous vegetables, like broccoli, and can be used to treat chlorobenzene-mediated bone degradation. Our platform combines these components into a smartphone app that photographs the sensor's colorimetric data, analyzes the data via ML techniques, and offers accessible treatments based on exposure data"
Keywords:Humans Reproducibility of Results *Volatile Organic Compounds *Wearable Electronic Devices Chlorobenzenes chlorobenzene chronic exposure machine learning (ML) osteopenia smartphone integration vitamin D volatile organic compounds (VOCs) wearable sensor;
Notes:"MedlineMago, Aryan Yang, Yeon-Suk Shim, Jae-Hyuck John, Aijaz Ahmad eng R01 AR078230/AR/NIAMS NIH HHS/ R21 AR077557/AR/NIAMS NIH HHS/ Switzerland 2023/09/28 Sensors (Basel). 2023 Sep 15; 23(18):7904. doi: 10.3390/s23187904"

 
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