In security settings, explosive residues or particles are collected by swiping the object of interest (e.g., luggage or package) with a collection medium, or trap. Particles on the trap are thermally desorbed for detection by ion mobility spectrometry (IMS) or other analyses. A high trap sampling efficiency increases the chance of detection, and is affected by a number of factors. In particular, this work studies the effect of trap re-use on collection efficiency of organic explosives, namely 2,4,6-trinitrotoluene (TNT) and 1,3,5-trinitro-1,3,5-triazinane (RDX), and correlates this data to quantifiable morphology changes. Collection efficiency was measured by liquid extraction of the traps with detection and quantitation by gas chromatography / mass spectrometry (GC/MS). Using silhouette microscopy for visualization of the trap texture, morphology changes were quantified by several measurements of trap roughness and hairiness, drawing from techniques and metrics used in the textiles industry. Nomex traps were visibly roughened by repeated re-use, and this was correlated with significant improvements in trap collection efficiency (11-57%) depending upon the specific analyte and substrate combination interrogated. Teflon-coated fiberglass (TCFG) traps showed little change with repeated swiping and minimal to no improvement in particle collection efficiency. These results have direct implications for optimizing particle collection traps for use in security settings.
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http://dx.doi.org/10.1016/j.forsciint.2019.02.002 | DOI Listing |
Chem Biodivers
January 2025
Federal Fluminense University: Universidade Federal Fluminense, Molecular and Cellular Biology, . Prof. Marcos Waldemar de Freitas Reis - São Domingos, Bloco M, Campus Gragoatá, 24210-201, Niteroi, BRAZIL.
Snakebite envenomation is a public health issue that can lead to mortality and physical consequences. It is estimated that 5.4 million venomous snake bites occur annually, with 130,000 deaths and 400,000 amputations.
View Article and Find Full Text PDFPLoS One
January 2025
School of Business and Management, Bandung Institute of Technology, Bandung, Indonesia.
Our goal is to improve Project Management (PM) profitability and reduce discrepancies in information among stakeholders, which can result in conflicts. This will be accomplished by incorporating Earned Value Management (EVM) with the Income Statement and incorporating earnings before interest, tax, depreciation, and amortization (EBITDA) with the work breakdown structure (WBS). These incorporations will streamline information sharing between PM, other management professionals, and the stakeholders, ultimately fostering the application of PM within broader business and management contexts.
View Article and Find Full Text PDFCell Rep
January 2025
State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address:
Pseudomonas syringae deploys a type III secretion system (T3SS) to deliver effector proteins to facilitate infection of plant cells; however, little is known about the direct interactions between T3SS components and plants. Here, we show that the specialized lytic transglycosylase (SLT) domain of P. syringae pv.
View Article and Find Full Text PDFBackground: The limited treatment options for Alzheimer's emphasizes the need to explore novel drug targets and bring new therapeutics to market. Drug repurposing is an efficient route to bring a safe and effective treatment to the clinic. Agomelatine (AGO) was identified by a high-throughput drug screening algorithm as having mechanistic potential to treat Alzheimer's.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cleveland Clinic, Cleveland, OH, USA.
Background: Cell-type specific expression quantitative trait loci (eQTLs) can help dissect cellular heterogeneity in the impact of genetic variation on gene expression for Alzheimer's disease (AD) and AD-related dementia (ADRD). However, due to the high cost and stringent sample collection criteria, it is challenging to obtain large single-nuclei RNA sequencing (snRNA-seq) data with sufficient cohort size to match genotyping data to systematically identify human brain-specific eQTLs for AD/ADRD.
Method: In this study, we presented a deep learning-based deconvolution framework on large-scale bulk RNA sequencing (RNA-seq) data to infer cell-type specific eQTLs in the human brains with AD/ADRD.
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