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Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer.

Author(s): López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Micromachines (Basel). 2020 Feb 25;11(3): Authors: López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Article GUID: 32106424
Dielectrophoresis Multipath Focusing of Microparticles through Perforated Electrodes in Microfluidic Channels.

Author(s): Alazzam A, Al-Khaleel M, Riahi MK, Mathew B, Gawanmeh A, Nerguizian V

Biosensors (Basel). 2019 Aug 07;9(3): Authors: Alazzam A, Al-Khaleel M, Riahi MK, Mathew B, Gawanmeh A, Nerguizian V

Article GUID: 31394810
Fabrication of Porous Gold Film Using Graphene Oxide as a Sacrificial Layer.

Author(s): Alazzam A, Alamoodi N, Abutayeh M, Stiharu I, Nerguizian V

Materials (Basel). 2019 Jul 18;12(14): Authors: Alazzam A, Alamoodi N, Abutayeh M, Stiharu I, Nerguizian V

Article GUID: 31323903
The effect of dielectrophoresis on living cells: crossover frequencies and deregulation in gene expression.

Author(s): Nerguizian V, Stiharu I, Al-Azzam N, Yassine-Diab B, Alazzam A

Analyst. 2019 May 17;: Authors: Nerguizian V, Stiharu I, Al-Azzam N, Yassine-Diab B, Alazzam A

Article GUID: 31099354
Title:Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer.
Authors:López RR,  Ocampo I,  Sánchez LM,  Alazzam A,  Bergeron KF,  Camacho-León S,  Mounier C,  Stiharu I,  Nerguizian V
Link:https://www.ncbi.nlm.nih.gov/pubmed/32106424?dopt=Abstract
DOI:10.3390/mi11030235
Category:Micromachines (Basel)
PMID:32106424
Dept Affiliation: ENCS
1 Department of Electrical Engineering, École de technologie supérieure, 1100 Notre Dame-West, Montreal, QC H3C 1K3, Canada.
2 School of Engineering and Sciences, Tecnológico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey 64849, N.L., Mexico.
3 Department of Engineering, Universidad Autónoma de Querétaro Cerro de las Campanas s/n, Santiago de Querétaro 76010, Qro., México.
4 System on Chip Center, Department of Mechanical Engineering, Khalifa University, Abu Dhabi 127788, UAE.
5 Department of Biological Sciences, Université du Québec à Montréal, 141 Président-Kennedy, Montreal, QC H2X 1Y4, Canada.
6 Department of Mechanical and Industrial Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, QC H3G 1M8, Canada.

Description:

Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer.

Micromachines (Basel). 2020 Feb 25;11(3):

Authors: López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Abstract

Liposomes nanoparticles (LNPs) are vesicles that encapsulate drugs, genes, and imaging labels for advanced delivery applications. Control and tuning liposome physicochemical characteristics such as size, size distribution, and zeta potential are crucial for their functionality. Liposome production using micromixers has shown better control over liposome characteristics compared with classical approaches. In this work, we used our own designed and fabricated Periodic Disturbance Micromixer (PDM). We used Design of Experiments (DoE) and Response Surface Methodology (RSM) to statistically model the relationship between the Total Flow Rate (TFR) and Flow Rate Ratio (FRR) and the resulting liposomes physicochemical characteristics. TFR and FRR effectively control liposome size in the range from 52 nm to 200 nm. In contrast, no significant effect was observed for the TFR on the liposomes Polydispersity Index (PDI); conversely, FRR around 2.6 was found to be a threshold between highly monodisperse and low polydispersed populations. Moreover, it was shown that the zeta potential is independent of TFR and FRR. The developed model presented on the paper enables to pre-establish the experimental conditions under which LNPs would likely be produced within a specified size range. Hence, the model utility was demonstrated by showing that LNPs were produced under such conditions.

PMID: 32106424 [PubMed]