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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019
Publisher	Chemical and Biological Microsystems Society
Pages	673-674
Number of pages	2
ISBN (Electronic)	9781733419000
Publication status	Published - 2019
Event	23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019 - Basel, Switzerland Duration: 27-10-2019 → 31-10-2019

Publication series

Name	23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

Conference

Conference	23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019
Country/Territory	Switzerland
City	Basel
Period	27-10-19 → 31-10-19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Bioengineering
Chemical Engineering (miscellaneous)

Cite this

Nestler, J., Stiehl, C., Graunitz, J., Geidel, S., Morschhauser, A., Otto, T., Schneemann, M., Jnana, A., Murali, T. S., Satyamoorthy, K., Maheswari, S. U., Ramakrishnan, S., Halder, P., Dendukuri, D., Bier, F. F., & Peter, H. (2019). Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers. In 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019 (pp. 673-674). (23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019). Chemical and Biological Microsystems Society.

Nestler, Joerg ; Stiehl, Cornelia ; Graunitz, Jenny et al. / Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers. 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019. Chemical and Biological Microsystems Society, 2019. pp. 673-674 (23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019).

@inproceedings{53af772d78f440f4a21d1dee93abb884,

title = "Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers",

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.",

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

note = "Funding Information: This work was part of the project MIDARDI which was funded by the Indo-German Science and Technology Council IGSTC and by the German Federal Ministry of Education and Research BMBF under contract no 01DQ15017. Publisher Copyright: {\textcopyright} 2019 CBMS-0001. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019 ; Conference date: 27-10-2019 Through 31-10-2019",

year = "2019",

language = "English",

series = "23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019",

publisher = "Chemical and Biological Microsystems Society",

pages = "673--674",

booktitle = "23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019",

}

Nestler, J, Stiehl, C, Graunitz, J, Geidel, S, Morschhauser, A, Otto, T, Schneemann, M, Jnana, A, Murali, TS, Satyamoorthy, K, Maheswari, SU, Ramakrishnan, S, Halder, P, Dendukuri, D, Bier, FF & Peter, H 2019, Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers. in 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019. 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019, Chemical and Biological Microsystems Society, pp. 673-674, 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019, Basel, Switzerland, 27-10-19.

Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers. / Nestler, Joerg; Stiehl, Cornelia; Graunitz, Jenny et al.
23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019. Chemical and Biological Microsystems Society, 2019. p. 673-674 (23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers

AU - Nestler, Joerg

AU - Stiehl, Cornelia

AU - Graunitz, Jenny

AU - Geidel, Sascha

AU - Morschhauser, Andreas

AU - Otto, Thomas

AU - Schneemann, Martina

AU - Jnana, Apoorva

AU - Murali, Thokur Sreepathy

AU - Satyamoorthy, Kapaettu

AU - Maheswari, Sakthi U.

AU - Ramakrishnan, Siddharth

AU - Halder, Purbasha

AU - Dendukuri, Dhananjaya

AU - Bier, Frank F.

AU - Peter, Harald

N1 - Funding Information: This work was part of the project MIDARDI which was funded by the Indo-German Science and Technology Council IGSTC and by the German Federal Ministry of Education and Research BMBF under contract no 01DQ15017. Publisher Copyright: © 2019 CBMS-0001. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85094937396

UR - https://www.scopus.com/pages/publications/85094937396#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85094937396

T3 - 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

SP - 673

EP - 674

BT - 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

PB - Chemical and Biological Microsystems Society

T2 - 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

Y2 - 27 October 2019 through 31 October 2019

ER -

Nestler J, Stiehl C, Graunitz J, Geidel S, Morschhauser A, Otto T et al. Self-contained diagnostic platform for pathogen and antibiotic resistance detection for diabetic foot ulcers. In 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019. Chemical and Biological Microsystems Society. 2019. p. 673-674. (23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019).

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

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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Cite this