A novel fire investigation technique using a needle extraction device was studied. Using a polymer particle-packed needle device, air samples containing volatile organic compounds (VOCs) generated from fire accelerants, gasoline and kerosene were extracted effectively, and subsequent gas chromatographic (GC) analyses were successfully carried out. Carpet and wood samples were spiked with gasoline and kerosene, followed by monitoring of the time-variation profiles of emitted VOCs up to 48 h. The fire accelerants were also measured for combusted carpet and wood samples, and the applicability of the proposed method to fire investigations was confirmed. Even at 48 h after spiking, groups of characteristic compounds were clearly observed in the air environments near the combusted sample. This method was further applied to the determination of VOCs in simulated fires, strongly suggesting the applicability of the developed method to real fire investigations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2116/analsci.26.1127 | DOI Listing |
Heliyon
January 2025
Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Fire safety in healthcare facilities is extremely important due to limited evacuation capacity of occupants. Therefore, poor fire safety precautions lead to more fatalities and financial losses. This study introduces an effective fire risk management approach for healthcare buildings utilizing an interval valued neutrosophic-fuzzy framework.
View Article and Find Full Text PDFSci Rep
January 2025
School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China.
Arc detection is crucial for ensuring the safe operation of power systems, where timely and accurate detection of arcs can prevent potential hazards such as fires, equipment damage, or system failures. Traditional arc detection methods, while functional, often suffer from low detection accuracy and high computational complexity, especially in complex operational environments. This limitation is particularly problematic in real-time monitoring and the efficient operation of power systems.
View Article and Find Full Text PDFBioscience
August 2024
Earth and Environmental Science Department at Lehigh University, Bethlehem, Pennsylvania, United States.
Under climate change, ecosystems are experiencing novel drought regimes, often in combination with stressors that reduce resilience and amplify drought's impacts. Consequently, drought appears increasingly likely to push systems beyond important physiological and ecological thresholds, resulting in substantial changes in ecosystem characteristics persisting long after drought ends (i.e.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, People's Republic of China. Electronic address:
Recently, the widespread utilization of combustible materials has increased the risks associated with building fires. Early fire-warning systems represent a pivotal strategy in mitigating losses incurred from fire incidents and offer considerable potential for the enhancement of fire safety management. This study focuses on the synthesis of bio-based ionic hydrogels, specifically calcium alginate/polyacrylamide/glycerol/lithium bromide (CPG-L), as a novel fire sensor.
View Article and Find Full Text PDFSci Rep
January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!