A Microlab® Monitored Multi-Flow, Positive Pressure, Evaporative Extraction module ([MPE]) unit (Hamilton Company, Reno, Nevada, USA) was installed on the Microlab® STARlet Automated Liquid Handler (Hamilton Company, Reno, Nevada, USA) to add sample concentrating capabilities to the Centre of Forensic Sciences' automated workflow. Prior to incorporation of the [MPE], forensic samples extracted on the STARlet that required concentration to meet the CFS' amplification threshold were not amplified. Filtering parameters were first optimized, then contamination was assessed, and mock casework studies were completed. There was no evidence of cross contamination or sample loss during sample concentration on the [MPE]. Extracts from blood, envelope flaps, cigarette butts and drink container swabs were concentrated using the [MPE] and amplified using AmpFLSTR™ Identifiler™ Plus (Applied Biosystems™). Profiles were concordant with similar peak heights, whether concentrated manually or with the [MPE]. Post validation, the [MPE] was successfully introduced into casework and in the first year an additional 450 DNA profiles, which previously would not have been amplified, were uploaded to Canada's National DNA Databank.
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http://dx.doi.org/10.1016/j.forsciint.2022.111287 | DOI Listing |
Sci Rep
October 2024
Department of Chemical and Biological Engineering, Koç University, Rumelifeneri Yolu, Sariyer, 34450, Istanbul, Turkey.
This study introduces a computational method integrating molecular simulations and machine learning (ML) to assess the CO adsorption capacities of synthesized and hypothetical metal-organic frameworks (MOFs) at various pressures. After extracting structural, chemical, and energy-based features of the synthesized and hypothetical MOFs (hMOFs), we conducted molecular simulations to compute CO adsorption in synthesized MOFs and used these simulation results to train ML models for predicting CO adsorption in hMOFs. Results showed that CO uptakes of synthesized MOFs and hMOFs are between 0.
View Article and Find Full Text PDFNeural Dev
August 2024
Marine Biological Laboratory, Eugene Bell Center for Regenerative Biology and Tissue Engineering, Woods Hole, MA, 02543, USA.
Background: The starlet sea anemone, Nematostella vectensis, is an emerging model organism with a high regenerative capacity, which was recently found to possess an orthologue to the human Leucine Rich Repeat Kinase 2 (LRRK2) gene. Mutations in this gene are the most common cause of inherited Parkinson's Disease (PD), highlighting the importance of understanding its function. Despite two decades of research, however, the function of LRRK2 is not well established.
View Article and Find Full Text PDFAdv Mater
July 2024
Department of Chemical and Biological Engineering, Koç University, Rumelifeneri Yolu, Sariyer, Istanbul, 34450, Turkey.
Metal-organic frameworks (MOFs), renowned for their exceptional porosity and crystalline structure, stand at the forefront of gas adsorption and separation applications. Shortly after their discovery through experimental synthesis, computational simulations quickly become an important method in broadening the use of MOFs by offering deep insights into their structural, functional, and performance properties. This review specifically addresses the pivotal role of molecular simulations in enlarging the molecular understanding of MOFs and enhancing their applications, particularly for gas adsorption.
View Article and Find Full Text PDFBMJ Open
July 2024
BC Cancer Agency, Vancouver, British Columbia, Canada.
J Virol Methods
September 2024
Laboratory for Medical Microbiology and Immunology, Meander Medical Center, Amersfoort, the Netherlands.
The STARlet All-In-One system is a modular platform that integrates the complete molecular diagnostic workflow from nucleic acid extraction of clinical samples to PCR set-up and amplification. The platform was evaluated in comparison with laboratory developed tests (LDT) on fecal samples from patients with suspected viral gastro-enteritis. In a retrospective study, 72 positive samples were analysed, including all pathogens detected by the Seegene Allplex™ GI-virus assay, adenovirus, astrovirus, norovirus GI and GII, sapovirus, and rotavirus.
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