2020
DOI: 10.1038/s41378-020-00200-7
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3D microfluidic gradient generator for combination antimicrobial susceptibility testing

Abstract: 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-p… Show more

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Cited by 24 publications
(25 citation statements)
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References 81 publications
(118 reference statements)
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“…It was found that the surface roughness of the microchannel could be reduced when the nozzle was brought closer to the print surface. Sweet et al constructed concentration gradient generators through MJM to identify optimal drug compositions [ 113 ]. The generators were a 3D microchannel network with 3 inlets and 13 outlets, as shown in Figure 8 .…”
Section: Non-mold-based Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…It was found that the surface roughness of the microchannel could be reduced when the nozzle was brought closer to the print surface. Sweet et al constructed concentration gradient generators through MJM to identify optimal drug compositions [ 113 ]. The generators were a 3D microchannel network with 3 inlets and 13 outlets, as shown in Figure 8 .…”
Section: Non-mold-based Techniquesmentioning
confidence: 99%
“…( b ) Fabrication results, actual 3D μ-CGG prototype after postprocessing; hollow interior structures are visible through the semitranslucent structural material, with US quarter for scale. Adapted, with permission, from [ 113 ]. 2020, Spring Nature.…”
Section: Figurementioning
confidence: 99%
“…This limitation was addressed by creating a 3D concentration gradient generator (3D μ-CGG; Fig. 6A), which can generate symmetric 3D gradients within 5 h (Sweet et al, 2020).…”
Section: Antibiotic Researchmentioning
confidence: 99%
“…The inner structure of microfluidic channels is functionalized with anti-EpCAM antibodies to have a clear capture of successful human cell lines of EpCAM (such as colon cancer SW480, prostate cancer PC3, and breast cancer MCF-7). Sweet et al developed a 3D µ-concentration gradient generator (µ-CGG) prototype with the help of additive manufacturing to employing a unique 3D microchannel network (Sweet et al, 2020). 3D µ-CGG is used to identify the optimal drug compositions through antimicrobial susceptibility testing for the treatment of antimicrobial-resistant (AMR) infections.…”
Section: Biomedical Application For 3d Printing Microfluidicsmentioning
confidence: 99%