Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers

Joerg Nestler, Cornelia Stiehl, Jenny Graunitz, Sascha Geidel, Andreas Morschhauser, Thomas Otto, Martina Schneemann, Apoorva Jnana, Thokur Sreepathy Murali, Kapaettu Satyamoorthy, Sakthi U. Maheswari, Siddharth Ramakrishnan, Purbasha Halder, Dhananjaya Dendukuri, Frank F. Bier, Harald Peter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We developed a microfluidic based lab-on-a-chip system for rapid and accurate detection of different types of bacteria that may contribute to certain types of diabetic foot ulcers (DFU). The microfluidic cartridge contains integrated micropumps and heaters to perform a DNA microarray-based detection fully automatically. The newly-developed fluorescence detection and control instrument together with the cartridges will assist clinicians in the decision-making process for antibiotic therapy in order to improve specific outcomes that would concomitantly improve wound healing per se in DFU scenarios.

Original languageEnglish
Title of host publication23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019
PublisherChemical and Biological Microsystems Society
Pages673-674
Number of pages2
ISBN (Electronic)9781733419000
Publication statusPublished - 2019
Event23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019 - Basel, Switzerland
Duration: 27-10-201931-10-2019

Publication series

Name23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

Conference

Conference23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019
Country/TerritorySwitzerland
CityBasel
Period27-10-1931-10-19

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Chemical Engineering (miscellaneous)

Fingerprint

Dive into the research topics of 'Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers'. Together they form a unique fingerprint.

Cite this