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Titel: Emerging Non-Conventional Approaches in mRNA-LNP Formulation for Therapeutic Applications
VerfasserIn: Zhang, Yitian
Linaje-Ferrel, Gabriel
Rocha Angel, Juan Manuel
Banik, Oindrila
Banoth, Earu
Kamen, Amine A.
Yandrapalli, Naresh
Perumal, Ayyappasamy Sudalaiyadum
Sprache: Englisch
Titel: Pharmaceutics
Bandnummer: 18
Heft: 5
Verlag/Plattform: MDPI
Erscheinungsjahr: 2026
Freie Schlagwörter: mRNA-LNP
encapsulation
non-conventional methods
microfluidics
hot homogenization
thin film hydration
siRNA
mRNA
machine learning
lyophilization
coacervation
lipid nanoparticles
vaccine development
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Lipid nanoparticles (LNPs) have become the cornerstone of nucleic acid delivery platforms, particularly in RNA-based vaccines and therapeutics. However, the conventional meth ods of LNP production, which are primarily reliant on microfluidic mixing of aqueous and organic solvent phases, pose limitations in terms of mRNA stability, residual organic contamination, scalability, cost, and environmental impact. These limitations prompted a renewed search for non-conventional strategies with the promise of improving mRNA-LNP encapsulation approaches. These emerging approaches aim to address key bottlenecks, including mRNA hydrolysis-driven degradation, high production losses, and complex downstream purification. Moreover, the ability to decouple LNP synthesis from mRNA encapsulation could enable streamlined, modular manufacturing workflows and customiz able payload delivery, including single- or multiple-mRNA payloads, thereby expanding the therapeutic scope of LNPs. This review offers an early insight into the design principles and scalability potential of emerging non-conventional LNP encapsulation approaches, including solvent-free and microfluidics-free methodologies, and pre-built LNP workflows. Wealso examine trends in emerging LNP encapsulation tools, including high-shear mixing, sonication, membrane contraction, and other approaches. Finally, we extrapolate the suit ability of the methods for scale-up approaches and their economic implications based on the process information.
DOI der Erstveröffentlichung: 10.3390/pharmaceutics18050527
URL der Erstveröffentlichung: https://doi.org/10.3390/pharmaceutics18050527
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-479054
hdl:20.500.11880/41900
http://dx.doi.org/10.22028/D291-47905
ISSN: 1999-4923
Datum des Eintrags: 27-Mai-2026
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Biowissenschaften
Professur: NT - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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