Firefighters are exposed to a wide range of toxic chemicals due to combustion, with numerous biomonitoring studies completed that have assessed exposure. Many of these studies focus on individual classes of chemicals, with a few considering a broad range of systemic exposures. As yet, no review process has been undertaken to comprehensively examine these studies. The aims of this review are to: (1) ascertain whether biomonitoring studies pertaining to firefighters demonstrate occupational exposure to volatile organic compounds, semivolatile organic compounds, and metals; (2) determine and present results of biomonitoring studies; (3) provide any recommendations presented from the literature that may support exposure mitigation; and (4) suggest future study parameters that may assist in providing a greater understanding surrounding the occupational exposure of firefighters. A systematic review was undertaken with regards to firefighters and biomonitoring studies utilising the matrices of blood, urine, semen and breast milk. This yielded 5690 results. Following duplicate removal, inclusion and exclusion criteria screening and full text screening, 34 studies remained for review. Results of over 80% of studies analysed determined firefighters to experience occupational exposure. Results also show firefighters to be exposed to a wide range of toxic chemicals due to fire smoke; potentially exceeding the range of exposure of other occupations. As firefighters may face increased risk of health effects due to the additive, synergistic, and/or antagonistic effects of chemical exposure, all care must be taken to reduce exposure. This may be achieved by considering tactical decisions, increased personal hygiene, and thorough decontamination procedures. Future biomonitoring studies recognising and assessing the range of chemical exposure firefighters face would be beneficial.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.envres.2020.109562 | DOI Listing |
Brain Commun
January 2025
Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Montreal, QC, Canada H4H 1R2.
Blood-based biomarkers have been revolutionizing the detection, diagnosis and screening of Alzheimer's disease. Specifically, phosphorylated-tau variants (p-tau, p-tau and p-tau) are promising biomarkers for identifying Alzheimer's disease pathology. Antibody-based assays such as single molecule arrays immunoassays are powerful tools to investigate pathological changes indicated by blood-based biomarkers and have been studied extensively in the Alzheimer's disease research field.
View Article and Find Full Text PDFHeliyon
January 2025
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Objective And Rationale: Children's clinical pain phenotypes are complex, and there is a lack of objective biological diagnostic markers and cognitive patterns. Detecting physiological signals through wearable devices simplifies disease diagnosis and holds the potential for remote medical applications.
Method And Results: This research established a pain recognition model based on AI skin potential (SP) signal analysis.
Anal Chem
January 2025
State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Ricin toxin (RT) is a potential bioterrorism agent because of its high potency, extremely small lethal dose, ease of preparation, and notable stability. Therefore, a portable method is urgently required to efficiently detect and determine the presence of toxicity of RT and evaluate its potency for public health monitoring and counter-bioterrorism responses. Currently, enzyme-based assays for detecting RT mainly focus on its -glycosidase activity.
View Article and Find Full Text PDFAdv Nutr
January 2025
Department of Nephrology, The Scarborough Health Network, Toronto, Ontario, Canada; Kidney Life Sciences Institute, Toronto, Ontario, Canada.
Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects of dietary glucose, glucose from dialysate, and other medical complications. Advances in technology that enable continuous biological data collection are transforming traditional management approaches. This review explores how multi-omics technologies and artificial intelligence (AI) are enhancing glucose management in this patient population.
View Article and Find Full Text PDFAdv Drug Deliv Rev
January 2025
Light sheet fluorescence microscopy (LSFM) has emerged as a transformative imaging technique in the study of drug delivery and embryonic development, offering high-resolution, real-time visualization with minimal phototoxicity. This review examines the application of LSFM in tracking drug pharmacokinetics, tissue-specific targeting, and drug efficacy during critical phases of embryonic development. Recent advancements in fluorescent labeling and machine learning integration have enabled more precise monitoring of drug release, distribution, and interaction with developing tissues.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!