2016
DOI: 10.1039/c6lc00208k
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Non-spherical particle generation from 4D optofluidic fabrication

Abstract: Particles with non-spherical shapes can exhibit properties which are not available from spherical shaped particles. Complex shaped particles can provide unique benefits for areas such as drug delivery, tissue engineering, structural materials, and self-assembly building blocks. Current methods of creating complex shaped particles such as 3D printing, photolithography, and imprint lithography are limited by either slow speeds, shape limitations, or expensive processes. Previously, we presented a novel microflui… Show more

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Cited by 29 publications
(25 citation statements)
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“…With an experimentally identified set of four micropillar diameters and eight lateral positions in the channel (for a total of 32 different micropillar configurations, which are easily manufacturable), a variety of possible fluid flow shape transformations have been predicted and experimentally validated for an inlet configuration [2]. These manually designed micropillar sequences have since been used to tailor polymer fiber cross sections [7], create 3D particles [8][9][10], and for solution transfer around particles in flow [11]. Such applications are still quite fundamental and broad in their scope, and the full potential of pillar programming in research and industry remains untapped.…”
Section: Introductionmentioning
confidence: 99%
“…With an experimentally identified set of four micropillar diameters and eight lateral positions in the channel (for a total of 32 different micropillar configurations, which are easily manufacturable), a variety of possible fluid flow shape transformations have been predicted and experimentally validated for an inlet configuration [2]. These manually designed micropillar sequences have since been used to tailor polymer fiber cross sections [7], create 3D particles [8][9][10], and for solution transfer around particles in flow [11]. Such applications are still quite fundamental and broad in their scope, and the full potential of pillar programming in research and industry remains untapped.…”
Section: Introductionmentioning
confidence: 99%
“…When a new particle shape is needed, a new channel with a different pillar configuration is required. Thus, instead of preparing new channels either by photolithography or 3D printing, [10,15] NG-OF uses an on-the-fly approach that creates pillars at a desired channel location by local UV polymerization (see Figure 4a and more details below) that is used for creating 3D-shaped microparticles.As mentioned, NG-OF is based on inertial flow shaping from our previous optofluidic fabrication. [10] Figure 1a shows Complex-shaped microparticles can enhance applications in drug delivery, tissue engineering, and structural materials, although techniques to fabricate these particles remain limited.…”
mentioning
confidence: 99%
“…With an experimentally identified set of 4 micropillar diameters and 8 lateral positions in the channel (for a total of 32 different micropillar configurations, which are easily manufacturable), a variety of possible fluid flow shape transformations have been predicted and experimentally validated for an inlet configuration (Stoecklein et al, 2014). These manually designed micropillar sequences have since been used to tailor polymer fiber cross-sections (Nunes et al, 2014), create 3-D particles (Paulsen et al, 2015;Wu et al, 2015;Paulsen and Chung, 2016), and for solution transfer around particles in flow (Sollier et al, 2015). Such applications are still quite fundamental and broad in their scope, and the full potential of pillar programming in research and industry remains untapped.…”
Section: Introductionmentioning
confidence: 99%
“…Flow sculpting via pillar sequences has since been applied to problems in biological and advanced manufacturing fields. For example, polymer precursors can create shaped microfibers and particles (Nunes et al, 2014;Paulsen et al, 2015;Paulsen and Chung, 2016;Wu et al, 2015), and a pillar sequence can shift fluid streams away from cells in flow (Sollier et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
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