Optimizing microfluidic LNP formulations with in-line particle size and concentration measurements

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Event Overview:

Verification of lipid nanoparticles (LNP) production via microfluidic precipitation under different formulation conditions usually requires tedious off-line analyses of particle size and polydispersity for each prep. This webinar describes an integrated approach to automating microfluidic production and characterization of LNPs with in-line multi-angle light scattering (MALS) and dynamic light scattering (DLS).

• Dozens of conditions, evaluating total flow rate (TFF) and flow-rate ratios (FRR)—each with multiple repeats—may be run without manually loading and installing individual syringes for each preparation.
• Particle size, concentration and polydispersity data are collected during flow across each condition, providing immediate insights into the results of each specific formulation and process condition.
• Aliquots for conditions that appear most promising can be subjected to asymmetric-flow filed-flow fractionation with light scattering detection (AF4-MALS) for detailed characterization.
• Upon identifying a successful formulation and process, the optical system may be transferred to real-time monitoring of scaled-up LNP vaccine production.

Key Learning Objectives:

• Introduction to multi-angle light scattering (MALS) and dynamic light scattering (DLS)
• How in-line MALS and DLS provide rapid feedback on particle size, concentration, and polydispersity, including real-time data.
• How the integration of in-line light scattering with automated microfluidic mixing contributes to rapid evaluation and selection of LNP formulation conditions and processes.

Speakers:

Jèrèmie Parot
Research Scientist
SINTEF

Dr. Parot is a passionate researcher with expertise in physico-chemical characterization of nanodrug delivery systems, formulation design, and production of lipid-based nanoparticles. Jérémie specializes in developing and combining analytical methods to accelerate the discovery, characterization, formulation, process development, and quality control of RNA-LNPs and is currently working on microfluidic devices to produce high-quality RNA-LNPs.
He is also responsible for developing standardized methods for characterizing nanomaterials (e.g., within ASTM E56) and regulatory science.

Dan Some
Principal Scientist
Wyatt Technology Corp

Dr. Daniel Some is Principal Scientist at Wyatt Technology Corp., where he contributes to product and application development as well as scientific and technical marketing. Currently he leads Wyatt’s program for commercializing real-time MALS PAT products. In the past he directed Wyatt’s efforts in instrumentation to characterize biomolecular interactions. Dan studied undergraduate physics at the Technion - Israel Institute of Technology and obtained his Ph.D. in physics from Brown University, then carried out postdoctoral research at Los Alamos National Laboratory and the Weizmann Institute of Science. Prior to joining Wyatt, he was involved in defense technology and the development of processed wafer inspection tools for the semiconductor industry..

Time and Date:

Thursday, November 17, 2022

Session 1: 8 am PST | 11 am EST | 5 pm CET
Session 2: 10 am CET | 9 am GMT | 6 pm JST
Session 3: 10am JST | 5 pm PST

Sponsors:

Wyatt Technology

Register Free: https://globalmeet.webcasts.com/starthere.jsp?ei=1577218&tp_key=a76464e00e