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Analysis of the diffusion process by pH indicator in microfluidic chips for liposome production

Analysis of the diffusion process by pH indicator in microfluidic chips for liposome production
Analysis of the diffusion process by pH indicator in microfluidic chips for liposome production
In recent years, the development of nano- and microparticles has drawn significant interest from researchers and enterprises because of the potential utility of such particles as drug delivery vehicles. Amongst the different techniques employed for the production of nanoparticles, microfluidic-based methods have proven to be the most effective for controlling particle size and dispersity, and for achieving high encapsulation efficiency of bioactive compounds. In this study we specifically focus on the production of liposomes, spherical vesicles formed by a lipid bilayer encapsulating an aqueous core. The formation of liposomes in microfluidic devices is often governed by diffusive mass transfer of chemical species at the liquid interface between a solvent (i.e. alcohol) and a non-solvent (i.e. water). In this work, we developed a new approach for the analysis of mass transport phenomena within microfluidic devices. The method relies on the use of a pH indicator, and we demonstrate its utility by characterising the transfer of ethanol and water within two different microfluidic architectures. Our approach represents an effective route to experimentally characterise diffusion and advection processes governing the formation of vesicular/micellar systems in microfluidics, and can also be employed to validate the results of numerical modelling.
1
Bottaro, Elisabetta
6e8d35c1-e87a-4d20-a6a5-99fd44281c57
Mosayyebi, Ali
ab9cf6da-58c4-4441-993b-7d03d5d3549a
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Nastruzzi, Claudio
fa760f44-1546-4aa2-838d-242a908ea463
Bottaro, Elisabetta
6e8d35c1-e87a-4d20-a6a5-99fd44281c57
Mosayyebi, Ali
ab9cf6da-58c4-4441-993b-7d03d5d3549a
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Nastruzzi, Claudio
fa760f44-1546-4aa2-838d-242a908ea463

Bottaro, Elisabetta, Mosayyebi, Ali, Carugo, Dario and Nastruzzi, Claudio (2017) Analysis of the diffusion process by pH indicator in microfluidic chips for liposome production. Micromachines, 8 (7), 1, [209]. (doi:10.3390/mi8070209).

Record type: Article

Abstract

In recent years, the development of nano- and microparticles has drawn significant interest from researchers and enterprises because of the potential utility of such particles as drug delivery vehicles. Amongst the different techniques employed for the production of nanoparticles, microfluidic-based methods have proven to be the most effective for controlling particle size and dispersity, and for achieving high encapsulation efficiency of bioactive compounds. In this study we specifically focus on the production of liposomes, spherical vesicles formed by a lipid bilayer encapsulating an aqueous core. The formation of liposomes in microfluidic devices is often governed by diffusive mass transfer of chemical species at the liquid interface between a solvent (i.e. alcohol) and a non-solvent (i.e. water). In this work, we developed a new approach for the analysis of mass transport phenomena within microfluidic devices. The method relies on the use of a pH indicator, and we demonstrate its utility by characterising the transfer of ethanol and water within two different microfluidic architectures. Our approach represents an effective route to experimentally characterise diffusion and advection processes governing the formation of vesicular/micellar systems in microfluidics, and can also be employed to validate the results of numerical modelling.

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More information

Accepted/In Press date: 17 June 2017
e-pub ahead of print date: 1 July 2017
Organisations: Bioengineering Group, Education Hub

Identifiers

Local EPrints ID: 411314
URI: http://eprints.soton.ac.uk/id/eprint/411314
PURE UUID: 88524c29-9e06-4259-88a6-b8390b902419
ORCID for Ali Mosayyebi: ORCID iD orcid.org/0000-0003-0901-6546

Catalogue record

Date deposited: 19 Jun 2017 16:30
Last modified: 17 Jul 2024 01:53

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Contributors

Author: Elisabetta Bottaro
Author: Ali Mosayyebi ORCID iD
Author: Dario Carugo
Author: Claudio Nastruzzi

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