Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024Rapid diagnosis of bloodstream infections using a culture-free phenotypic platform1citations

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Chmielewski, Richard A.
1 / 1 shared
Vanepps, J. Scott
1 / 1 shared
Yau, Siu-Tung
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Sharma, Shivani
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2024

Co-Authors (by relevance)

  • Chmielewski, Richard A.
  • Vanepps, J. Scott
  • Yau, Siu-Tung
  • Sharma, Shivani
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article

Rapid diagnosis of bloodstream infections using a culture-free phenotypic platform

  • Chmielewski, Richard A.
  • Vanepps, J. Scott
  • Markovic, Mario J.
  • Yau, Siu-Tung
  • Sharma, Shivani
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Bloodstream infections (BSIs) are a life-threatening acute medical condition and current diagnostics for BSIs suffer from long turnaround time (TAT). Here we show the validation of a rapid detection-analysis platform (RDAP) for the diagnosis of BSIs performed on clinical blood samples</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The validation was performed on a cohort of 59 clinical blood samples, including positive culture samples, which indicated confirmed bloodstream infections, and negative culture samples. The bacteria in the positive culture samples included Gram-positive and Gram-negative pathogenic species. RDAP is based on an electrochemical sandwich immunoassay with voltage-controlled signal amplification, which provides an ultra-low limit of detection (4 CFU/mL), allowing the platform to detect and identify bacteria without requiring culture and perform phenotypic antibiotic susceptibility testing (AST) with only 1–2 h of antibiotic exposure. The preliminary diagnostic performance of RDAP was compared with that of standard commercial diagnostic technologies.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Using a typical clinical microbiology laboratory diagnostic workflow that involved sample culture, agar plating, bacteria identification using matrix-assisted laser desorption ionization time-of-flight (MALDI TOF) mass spectrometry, and AST using MicroScan as a clinical diagnostic reference, RDAP showed diagnostic accuracy of 93.3% and 95.4% for detection-identification and AST, respectively. However, RDAP provided results at least 15 h faster.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>This study shows the preliminary feasibility of using RDAP to rapidly diagnose BSIs, including AST. Limitations and potential mitigation strategies for clinical translation of the present RDAP prototype are discussed. The results of this clinical feasibility study indicate an approach to provide near real-time diagnostic information for clinicians to significantly enhance the treatment outcome of BSIs.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • mass spectrometry
  • size-exclusion chromatography
  • susceptibility
  • matrix-assisted laser desorption–ionisation
  • spectrometry