3D microfluidic gradient generator for combination antimicrobial susceptibility testing
| Autor: | Camille Mercier, Ryan Jew, Yash Attal, Eric J. Jacobs, Tinglin Wu, Reed Vickerman, Liwei Lin, Joshua Chen, Andrew Chang, Alison T. Long, Eric Sweet, Siyang Liu, Brenda Yang, Yujui Lin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
medicine.drug_class Materials Science (miscellaneous) Microfluidics Antibiotics 02 engineering and technology lcsh:Technology Industrial and Manufacturing Engineering 03 medical and health sciences Minimum inhibitory concentration Engineering medicine Fluidics Electrical and Electronic Engineering 030304 developmental biology 0303 health sciences Microchannel lcsh:T Prevention 021001 nanoscience & nanotechnology Condensed Matter Physics Antimicrobial Atomic and Molecular Physics and Optics Chemistry Infectious Diseases Emerging Infectious Diseases Amikacin lcsh:TA1-2040 5.1 Pharmaceuticals Antimicrobial Resistance Development of treatments and therapeutic interventions 0210 nano-technology Biological system lcsh:Engineering (General). Civil engineering (General) Infection medicine.drug Combination drug |
| Zdroj: | Microsystems & nanoengineering, vol 6, iss 1 Microsystems & Nanoengineering, Vol 6, Iss 1, Pp 1-14 (2020) |
| Popis: | Microfluidic concentration gradient generators (µ-CGGs) have been utilized to identify optimal drug compositions through antimicrobial susceptibility testing (AST) for the treatment of antimicrobial-resistant (AMR) infections. Conventional µ-CGGs fabricated via photolithography-based micromachining processes, however, are fundamentally limited to two-dimensional fluidic routing, such that only two distinct antimicrobial drugs can be tested at once. This work addresses this limitation by employing Multijet-3D-printed microchannel networks capable of fluidic routing in three dimensions to generate symmetric multidrug concentration gradients. The three-fluid gradient generation characteristics of the fabricated 3D µ-CGG prototype were quantified through both theoretical simulations and experimental validations. Furthermore, the antimicrobial effects of three highly clinically relevant antibiotic drugs, tetracycline, ciprofloxacin, and amikacin, were evaluated via experimental single-antibiotic minimum inhibitory concentration (MIC) and pairwise and three-way antibiotic combination drug screening (CDS) studies against model antibiotic-resistant Escherichia coli bacteria. As such, this 3D µ-CGG platform has great potential to enable expedited combination AST screening for various biomedical and diagnostic applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|