In this work, we develop a sequential self-assembly approach to fabricate interpenetrated binary supramolecular nanofibers consisting of carbazole oligomer 1-cobalt(II) (1-Co) coordination nanofibers and oligomer 2 nanofibers for the sensitive detection of six classes of explosives. When exposed to peroxide explosives (e.g., HO), Co in 1-Co coordination nanofibers can be reduced to Co that can transfer an electron to the excited 2 nanofibers and thereby quench their fluorescence. On the other hand, when exposed to the other five classes of explosives, the excited 2 nanofibers can transfer an electron to explosives to quench their fluorescence. On the basis of the distinct fluorescence quenching mechanisms, six classes of explosives can be sensitively detected. Herein, we provide a new strategy to design broad-band fluorescence sensors for a rich identification of threats.
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http://dx.doi.org/10.1021/acs.analchem.8b00556 | DOI Listing |
Death Stud
January 2025
IDEES Multidisciplinary Research Group, Faculty of Arts and Sciences, Holy Spirit University of Kaslik (USEK), Jounieh, Lebanon.
On August 4, 2020, an explosion in the Beirut Port in Lebanon caused over 220 deaths and 76,000 injuries. The blast, which is considered a national tragedy, had profound impacts on Lebanese citizens, notably the traumatic loss for families who lost a loved one. This qualitative study explored the experiences of loss and adaptation among bereaved families following the Beirut Port explosion from a psychosocial perspective.
View Article and Find Full Text PDFMikrochim Acta
December 2024
State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454000, China.
A HPU-23@Ru@Tb-NH sensor array with light-driven oxidase-mimicking activity and triple-emission fluorescence was developed. It was composed of a Tb-functionalized metal organic framework and Ru(bpy) and applied to the simultaneous detection of Hg, ClO, and PO via differently responsive channels. HPU-23@Ru@Tb-NH had a photoresponsive colorimetric response toward Hg with a LOD as low as 4.
View Article and Find Full Text PDFSci Rep
December 2024
Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura, 35516, Egypt.
The rice plant is one of the most significant crops in the world, and it suffers from various diseases. The traditional methods for rice disease detection are complex and time-consuming, mainly depending on the expert's experience. The explosive growth in image processing, computer vision, and deep learning techniques provides effective and innovative agriculture solutions for automatically detecting and classifying these diseases.
View Article and Find Full Text PDFMolecules
November 2024
Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, 61-614 Poznań, Poland.
Metal-containing compounds form a large and rapidly expanding group of high-energy materials. Many compounds in this class attract the attention of non-professionals, who may attempt the illegal production of explosives. Several of these substances have been commercially available and pose significant danger if used by terrorists or for criminal purposes.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Research Center CHU Ste-Justine Centre Hospitalier Universitaire Mère-Enfant, 3175 Boulevard de la Côte-Sainte-Catherine Drive, Montréal, QC H3T 1C5, Canada.
Background/objectives: This study develops machine learning (ML) models to predict hypoxemia severity during emergency triage, particularly in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) scenarios, using physiological data from medical-grade sensors.
Methods: Tree-based models (TBMs) such as XGBoost, LightGBM, CatBoost, Random Forests (RFs), Voting Classifier ensembles, and sequential models (LSTM, GRU) were trained on the MIMIC-III and IV datasets. A preprocessing pipeline addressed missing data, class imbalances, and synthetic data flagged with masks.
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