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Purpose Of Review: We are continuously exposed to dynamic mixtures of airborne contaminants that vary by location. Understanding the compositional diversity of these complex mixtures and the levels to which we are each exposed requires comprehensive exposure assessment. This comprehensive analysis is often lacking in population-based studies due to logistic and analytical challenges associated with traditional measurement approaches involving active air sampling and chemical-by-chemical analysis. The objective of this review is to provide an overview of wearable passive samplers as alternative tools to active samplers in environmental health research. The review highlights the advances and challenges in using wearable passive samplers for assessing personal exposure to organic chemicals and further presents a framework to enable quantitative measurements of exposure and expanded use of this monitoring approach to the population scale.
Recent Findings: Overall, wearable passive samplers are promising tools for assessing personal exposure to environmental contaminants, evident by the increased adoption and use of silicone-based devices in recent years. When combined with high throughput chemical analysis, these exposure assessment tools present opportunities for advancing our ability to assess personal exposures to complex mixtures. Most designs of wearable passive samplers used for assessing exposure to semi-volatile organic chemicals are currently uncalibrated, thus, are mostly used for qualitative research. The challenge with using wearable samplers for quantitative exposure assessment mostly lies with the inherent complexity in calibrating these wearable devices. Questions remain regarding how they perform under various conditions and the uncertainty of exposure estimates. As popularity of these samplers grows, it is critical to understand the uptake kinetics of chemicals and the different environmental and meteorological conditions that can introduce variability. Wearable passive samplers enable evaluation of exposure to hundreds of chemicals. The review presents the state-of-the-art of technology for assessing personal exposure to environmental chemicals. As more studies calibrate wearable samplers, these tools present promise for quantitatively assessing exposure at both the individual and population levels.
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http://dx.doi.org/10.1007/s40572-023-00392-w | DOI Listing |
ACS Appl Mater Interfaces
September 2025
The Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, China.
Flexible sensors integrating motion detection and tactile perception capabilities demonstrate significant potential in aerospace biomechanics and medical rehabilitation. Here, we report a biomimetic inflatable chamber sensor that synergistically integrates pneumatic-auxiliary and electronic sensing for elbow joint health monitoring. The device architecture combines multiwalled carbon nanotube-reinforced silicone composites with embedded electrode arrays integrated within the inner lining of inflatable chambers, achieving high sensitivity while maintaining signal stability under electromagnetic interference.
View Article and Find Full Text PDFTrends Cogn Sci
September 2025
Department of Psychology, The University of Hong Kong, Hong Kong; HKU-Shenzhen Institute of Research and Innovation, Shenzhen, China. Electronic address:
Sleep is not merely a passive state: it actively consolidates memories via reactivation of recent experiences. Beyond preserving precious memories, sleep provides a critical, yet underappreciated window for editing aversive memories. We propose an integrative framework for sleep-based memory editing, outlining three key strategies: extinction via reactivation of original memories, interference reactivation via strengthening of wakeful interfering memories, and interference induction via the introduction of new stimuli during sleep reactivation.
View Article and Find Full Text PDFBMC Digit Health
August 2025
School of Pharmacy, Newcastle University, King George VI Building, Queen Victoria Road, Newcastle Upon Tyne, UK.
Background: The global prevalence of dementia is increasing exponentially. Early detection of dementia-causing diseases could support therapeutic intervention to decelerate disease progression. Wearable digital technologies can be used to identify early signs of such diseases and remotely monitor disease progression.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of Mechanical Systems Engineering, Tokyo Metropolitan University, Tokyo 191-0065, Japan.
The half-sitting posture is essential for many functional tasks performed by industrial workers. Thus, passive lower-limb exoskeletons, known as wearable chairs, are increasingly used to relieve lower-limb loading in such scenarios. However, although these devices lighten muscle effort during half-sitting tasks, they can disrupt walking mechanics and balance.
View Article and Find Full Text PDFHealthcare (Basel)
August 2025
Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia.
Psychological distress remains a significant public health concern, particularly among youth. With the growing integration of mobile and wearable technologies into daily life, digital phenotyping has emerged as a promising approach for early self-detection and intervention in psychological distress. The study aims to determine how behavioral and device-derived data can be used to identify early signs of emotional distress and to develop and evaluate a prototype system that enables users to self-detect these early warning signs, ultimately supporting early intervention and improved mental health outcomes.
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