Go with the flow- High resolution lipid nanoparticle metrology

Callum G. Davidson; Rand Abdulrahman; Panida Punnabhum; Yvonne Perrie; Zahra Rattray

Go with the flow- High resolution lipid nanoparticle metrology

Callum G. Davidson, Rand Abdulrahman, Panida Punnabhum, Yvonne Perrie, Zahra Rattray

Strathclyde Institute Of Pharmacy And Biomedical Sciences

Research output: Contribution to conference › Poster

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Abstract

Asymmetric-Flow Field Flow Fraction (AF4) is a rapidly growing analytical technique for the separation and in-line analysis of RNA-loaded lipid nanoparticles (RNA-LNPs). This high resolution, robust technique will facilitate the clinical translation of new RNA-LNP formulations by evaluating nanoparticle critical quality attributes (CQAs) and enhance the knowledge between RNA-LNP design, manufacture, and associated physical chemical properties [1]. The use of high-resolution analytical techniques can bridge existing knowledge gaps and accelerate the successful clinical translation of RNA-LNP therapies. The aim of this work was to develop a method for the characterization of RNA-LNPs using Frit Inlet (FI) AF4-Multi angle light scattering (MALS)-UV to determine LNP particle size distribution.

Original language	English
Publication status	Published - 20 Jun 2023
Event	European Platform for Technology Network on Nanomedicine 2023 Meeting - University of Liverpool, Liverpool, United Kingdom Duration: 19 Jun 2023 → 22 Jun 2023

Conference

Conference	European Platform for Technology Network on Nanomedicine 2023 Meeting
Country/Territory	United Kingdom
City	Liverpool
Period	19/06/23 → 22/06/23

Keywords

nanomedicine
field flow fractionation
analytical
lipid nanoparticles

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Davidson-etal-EPTNN-2023-High-resolution-lipid-nanoparticle-metrologyFinal published version, 2.1 MBLicence: CC BY-NC-ND 4.0

Multiscale Metrology Suite for Next-generation Healthcare Technologies (EPSRC Strategic Equipment)
Rattray, Z. (Principal Investigator), Bruns, N. (Co-investigator), Faulds, K. (Co-investigator), Graham, D. (Co-investigator), Halbert, G. (Co-investigator), Hoskins, C. (Co-investigator), McArthur, S. (Co-investigator), Perrie, Y. (Co-investigator), Reid, S. (Co-investigator) & Seib, P. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/11/21 → 31/10/24
Project: Research

FFF
Rattray, Z.
Strathclyde Institute Of Pharmacy And Biomedical Sciences
Facility/equipment: Equipment

Cite this

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title = "Go with the flow- High resolution lipid nanoparticle metrology",

abstract = "Asymmetric-Flow Field Flow Fraction (AF4) is a rapidly growing analytical technique for the separation and in-line analysis of RNA-loaded lipid nanoparticles (RNA-LNPs). This high resolution, robust technique will facilitate the clinical translation of new RNA-LNP formulations by evaluating nanoparticle critical quality attributes (CQAs) and enhance the knowledge between RNA-LNP design, manufacture, and associated physical chemical properties [1]. The use of high-resolution analytical techniques can bridge existing knowledge gaps and accelerate the successful clinical translation of RNA-LNP therapies. The aim of this work was to develop a method for the characterization of RNA-LNPs using Frit Inlet (FI) AF4-Multi angle light scattering (MALS)-UV to determine LNP particle size distribution. ",

keywords = "nanomedicine, field flow fractionation, analytical, lipid nanoparticles",

author = "Davidson, {Callum G.} and Rand Abdulrahman and Panida Punnabhum and Yvonne Perrie and Zahra Rattray",

year = "2023",

month = jun,

day = "20",

language = "English",

note = "European Platform for Technology Network on Nanomedicine 2023 Meeting ; Conference date: 19-06-2023 Through 22-06-2023",

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TY - CONF

T1 - Go with the flow- High resolution lipid nanoparticle metrology

AU - Davidson, Callum G.

AU - Abdulrahman, Rand

AU - Punnabhum, Panida

AU - Perrie, Yvonne

AU - Rattray, Zahra

PY - 2023/6/20

Y1 - 2023/6/20

N2 - Asymmetric-Flow Field Flow Fraction (AF4) is a rapidly growing analytical technique for the separation and in-line analysis of RNA-loaded lipid nanoparticles (RNA-LNPs). This high resolution, robust technique will facilitate the clinical translation of new RNA-LNP formulations by evaluating nanoparticle critical quality attributes (CQAs) and enhance the knowledge between RNA-LNP design, manufacture, and associated physical chemical properties [1]. The use of high-resolution analytical techniques can bridge existing knowledge gaps and accelerate the successful clinical translation of RNA-LNP therapies. The aim of this work was to develop a method for the characterization of RNA-LNPs using Frit Inlet (FI) AF4-Multi angle light scattering (MALS)-UV to determine LNP particle size distribution.

AB - Asymmetric-Flow Field Flow Fraction (AF4) is a rapidly growing analytical technique for the separation and in-line analysis of RNA-loaded lipid nanoparticles (RNA-LNPs). This high resolution, robust technique will facilitate the clinical translation of new RNA-LNP formulations by evaluating nanoparticle critical quality attributes (CQAs) and enhance the knowledge between RNA-LNP design, manufacture, and associated physical chemical properties [1]. The use of high-resolution analytical techniques can bridge existing knowledge gaps and accelerate the successful clinical translation of RNA-LNP therapies. The aim of this work was to develop a method for the characterization of RNA-LNPs using Frit Inlet (FI) AF4-Multi angle light scattering (MALS)-UV to determine LNP particle size distribution.

KW - nanomedicine

KW - field flow fractionation

KW - analytical

KW - lipid nanoparticles

M3 - Poster

T2 - European Platform for Technology Network on Nanomedicine 2023 Meeting

Y2 - 19 June 2023 through 22 June 2023

ER -

Go with the flow- High resolution lipid nanoparticle metrology

Abstract

Conference

Keywords

UN SDGs

Access to Document

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Projects

Multiscale Metrology Suite for Next-generation Healthcare Technologies (EPSRC Strategic Equipment)

Equipment

FFF

Cite this