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Probe hybridization array typing (PHAT) is a previously validated, high-throughput, highly discriminatory binary typing method based on the presence or absence of genetic material. To increase the utility of PHAT, we identified a refined PHAT probe set using 24 known and potential Escherichia coli virulence genes, by which groups similar to multilocus sequence typing (MLST) clonal groups (CGs) could be determined. We PHAT typed 1,132 E. coli isolates, representing at least 62 MLST CGs and diverse disease states, using a "library-on-a-slide" microarray format. Using 24 PHAT probes, all 62 MLST CGs in the representative E. coli collection were distinguished. For major CGs, PHAT correctly classified all sequence types within CG7 and CG17 but misclassified between one and four sequence types for CG13, CG14, CG23, CG38, and CG58, giving an overall sensitivity and specificity of 80.4 and 98.7%, respectively. After application of the PHAT classification to the whole collection, MLST validation of the PHAT probe classification resulted in sensitivities from 0.0 to 100.0% and specificities from 75.0 to 100.0% for individual CGs and an overall sensitivity and specificity of 64.7 and 88.3%, respectively. The refined PHAT probe set is capable of classifying isolates into groups in a manner similar to major clonal complexes of MLST, indicating coevolution between the chromosomal background and the flexible gene pool. Further refinement is needed to distinguish between closely related groups. For analysis of large bacterial collections, PHAT is a relatively time- and cost-efficient method and is ideal for a first level of analysis.
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http://dx.doi.org/10.1128/JCM.01693-08 | DOI Listing |
Cellulose (Lond)
July 2021
SSPC Pharmaceutical Research Centre, School of Pharmacy, University College Cork, Cork, Ireland.
Unlabelled: Microcrystalline cellulose (MCC) is a semi-crystalline material with inherent variable crystallinity due to raw material source and variable manufacturing conditions. MCC crystallinity variability can result in downstream process variability. The aim of this study was to develop models to determine MCC crystallinity index (%CI) from Raman spectra of 30 commercial batches using Raman probes with spot sizes of 100 µm (MR probe) and 6 mm (PhAT probe).
View Article and Find Full Text PDFAAPS PharmSciTech
May 2020
Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ghent, Belgium.
Moving from batch to continuous manufacturing (CM) requires implementation of process analytical technology (PAT), as it is crucial to monitor and control these processes. CM of semi-solids has been demonstrated but implementation of a broader range of PAT tools with in- or on-line process interfacing at the end of the CM line has not been demonstrated. The goal of this work was to continuously manufacture creams and to investigate whether in- and on-line measurement of viscosity, changes in the concentration of active pharmaceutical ingredient (API), and pH could be used to support optimization of a model cream product.
View Article and Find Full Text PDFBioinformatics
August 2019
Probe Development and Biomarker Exploration, Thunder Bay Regional Health Research Institute.
Summary: The Pathogen-Host Analysis Tool (PHAT) is an application for processing and analyzing next-generation sequencing (NGS) data as it relates to relationships between pathogens and their hosts. Unlike custom scripts and tedious pipeline programming, PHAT provides an integrative platform encompassing raw and aligned sequence and reference file input, quality control (QC) reporting, alignment and variant calling, linear and circular alignment viewing, and graphical and tabular output. This novel tool aims to be user-friendly for life scientists studying diverse pathogen-host relationships.
View Article and Find Full Text PDFJ Pharm Sci
January 2019
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, Connecticut 06269; Institute of Material Sciences, University of Connecticut, Storrs, Connecticut 06269. Electronic address:
Moisture-induced flow variabilities in pharmaceutical blends lead to multiple impediments during manufacturing of solid dosage formulations. Processing and storage humidity conditions both govern the moisture contents of the pharmaceutical mixtures and bear significant impact on the final product quality. In this study, experimentally validated discrete element method-based computational models along with statistical formalism have been implemented to develop a predictive tool for moisture-induced cohesion in binary and tertiary mixtures.
View Article and Find Full Text PDFAnal Chim Acta
July 2018
Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium. Electronic address:
UltraViolet (UV) spectroscopy was evaluated as an innovative Process Analytical Technology (PAT) - tool for the in-line and real-time quantitative determination of low-dosed active pharmaceutical ingredients (APIs) in a semi-solid (gel) and a liquid (suspension) pharmaceutical formulation during their batch production process. The performance of this new PAT-tool (i.e.
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