Large-Scale Production of Compound Bubbles Using Parallelized Microfluidics for Efficient Extraction of Metal Ions

Abstract

Recent advances in microfluidic technologies have enabled production of micro-scale compound bubbles that consist of gaseous cores surrounded by thin liquid shell, achieving control and uniformity not possible using conventional...

Time-resolved velocity and pressure field quantification in a flow-focusing device for ultrafast microbubble production

“…An evident approach to upscaling is therefore the parallelization of multiple nozzles. Such a strategy has been investigated for parallel droplet production [16,17], which has then been translated to upscaled bubble production with some success, using two to several hundred nozzles [18][19][20][21][22][23]. Despite the impressive achievements on the production rate [22,23] the optimal parameter range for stable bubble production can hitherto only be extracted from empirical methods.…”

“…Such a strategy has been investigated for parallel droplet production [16,17], which has then been translated to upscaled bubble production with some success, using two to several hundred nozzles [18][19][20][21][22][23]. Despite the impressive achievements on the production rate [22,23] the optimal parameter range for stable bubble production can hitherto only be extracted from empirical methods. Furthermore, the different parallelization strategies explicitly [19,21] or implicitly show a loss of monodispersity as compared to a single nozzle system.…”

High throughput production of microcapsules using microfluidics for self-healing of cementitious materials

“…Alternatively, emulsions with a core comprised of gas or with a core similar to the shell have also been investigated, as its production does not depend on selective surface wettability. 34,35 Recent advances on microfluidic systems have been used for larger-scale production of water-in-oil-in-water emulsions, producing up to ~50 g.h -1 . 36,37 Furthermore, a combination of large-scale production and machine learning can be used to minimise the need for a human operator checking the continuous production.…”

Accessible detection of SARS-CoV-2 through molecular nanostructures and automated microfluidics

“…Finally, with the demonstrated robustness, beyond the current COVID-19 pandemic, eSIREN could be further expanded for accessible detection of other infectious diseases and improved patient stratification in resource-limited settings ( Wu et al, 2020 ; Zhu et al, 2019 ). Technical improvements, through the integration of advanced microfluidics ( Morikawa et al, 2020 ; Choi et al, 2019 ; Siedlik et al, 2021 ; Zhao et al, 2019 ) and arrayed sensor configuration ( Lim et al, 2019 ; Jeong et al, 2019 ), could facilitate highly-parallel and large-scale testing.…”