Investigation of pH-Responsiveness inside Lipid Nanoparticles for Parenteral mRNA Application Using Small-Angle X-ray Scattering.

Messenger ribonucleic acid (mRNA)-based nanomedicines have shown to be a promising new lead in a broad field of potential applications such as tumor immunotherapy. Of these nanomedicines, lipid-based mRNA nanoparticles comprising ionizable lipids are gaining increasing attention as versatile technologies for fine-tuning toward a given application, with proven potential for successful development up to clinical practice. Still, several hurdles have to be overcome to obtain a drug product that shows adequate mRNA delivery and clinical efficacy. In this study, pH-induced changes in internal molecular organization and overall physicochemical characteristics of lipoplexes comprising ionizable lipids were investigated using small-angle X-ray scattering and supplementary techniques. These changes were determined for different types of ionizable lipids, present at various molar fractions and N/P ratios inside the phospholipid membranes. The investigated systems showed a lamellar organization, allowing an accurate determination of pH-dependent structural changes. The differences in the pH responsiveness of the systems comprising different ionizable lipids and mRNA fractions could be clearly revealed from their structural evolution. Measurements of the degree of ionization and pH-dependent mRNA loading into the systems by fluorescence assays supported the findings from the structural investigation. Our approach allows for direct in situ determination of the structural response of the lipoplex systems to changes of the environmental pH similar to that observed for endosomal uptake. These data therefore provide valuable complementary information for understanding and fine-tuning of tailored mRNA delivery systems toward improved cellular uptake and endosomal processing.

Hybrid Biopolymer and Lipid Nanoparticles with Improved Transfection Efficacy for mRNA.

Hybrid nanoparticles from lipidic and polymeric components were assembled to serve as vehicles for the transfection of messenger RNA (mRNA) using different portions of the cationic lipid DOTAP (1,2-Dioleoyl-3-trimethylammonium-propane) and the cationic biopolymer protamine as model systems. Two different sequential assembly approaches in comparison with a direct single-step protocol were applied, and molecular organization in correlation with biological activity of the resulting nanoparticle systems was investigated. Differences in the structure of the nanoparticles were revealed by thorough physicochemical characterization including small angle neutron scattering (SANS), small angle X-ray scattering (SAXS), and cryogenic transmission electron microscopy (cryo-TEM). All hybrid systems, combining lipid and polymer, displayed significantly increased transfection in comparison to lipid/mRNA and polymer/mRNA particles alone. For the hybrid nanoparticles, characteristic differences regarding the internal organization, release characteristics, and activity were determined depending on the assembly route. The systems with the highest transfection efficacy were characterized by a heterogenous internal organization, accompanied by facilitated release. Such a system could be best obtained by the single step protocol, starting with a lipid and polymer mixture for nanoparticle formation.

Introducing a soil universal model method (SUMM) and its application for qualitative and quantitative determination of poly(ethylene), poly(styrene), poly(vinyl chloride) and poly(ethylene terephthalate) microplastics in a model soil.

Methods for analysis of microplastic in soils are still being developed. In this study, we evaluated the potential of a soil universal model method (SUMM) based on thermogravimetry (TGA) for the identification and quantification of microplastics in standard loamy sand. Blank and spiked soils (with amounts of one of four microplastic types) were analyzed by TGA. For each sample, thermal mass losses (TML) in 10 °C intervals were extracted and used for further analysis. To explain and demonstrate the principles of SUMM, two scenarios were discussed. The first refers to a rare situation in which an uncontaminated blank of investigated soil is available and TML of spiked and blank soils are subtracted. The results showed that the investigated microplastics degraded in characteristic temperature areas and differences between spiked and blank soils were proportional to the microplastics concentrations. The second scenario reflects the more common situation where the blank is not available and needs to be replaced by the previously developed interrelationships representing soil universal models. The models were consequently subtracted from measured TML. Sparse principal component analysis (sPCA) identified 8 of 14 modeled differences between measured TMLs and the universal model as meaningful for microplastics discrimination. Calibrating various microplastics concentrations with the first principal component extracted from sPCA resulted in linear fits and limits of detection in between environmentally relevant microplastics concentrations. Even if such an approach using calculated standards still has limitations, the SUMM shows a certain potential for a fast pre-screening method for analysis of microplastics in soils.

Process and scaling parameters for wet media milling in early phase drug development: A knowledge based approach.

Wet media milling is a well-established unit operation for the manufacturing of suspension formulations during early phase pharmaceutical development. However, knowledge about the kinetics of particle breakage is limited, although the impact of hydro-mechanical process parameters on the mean particle size of finished suspensions has been thoroughly investigated. We performed in this work milling trials with two different compounds on two milling devices with different mechanical design and volume scale. We analyzed our data in terms of a kinetic milling model where we included the milling speed as an explicit process parameter in addition to the process duration. We show, that the milling kinetics can be fairly well predicted for a wide range of these operating parameters. The proposed milling model may therefore be useful for rational process planning and scale-up considerations in the industrial setting.