ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Monitoring the Release Mechanism of Model Drugs from Loaded Lipid Nanoparticles interacting with Lipid Membranes

Abstract: This proposal continues our previous studies (Experiments 2220789 and 2410695) on the interaction of lyotropic liquid crystalline nanoparticles (LCNPs) with supported lipid bilayers (SLBs) mimicking cellular membranes. LCNPs such as cubosomes and hexosomes are highly efficient and biocompatible nanocarriers capable of encapsulating and releasing therapeutic molecules in a controlled manner. Our earlier neutron reflectometry (NR) experiments demonstrated that the internal structure and surface charge of LCNPs strongly affect their interaction with membranes: DOPE hexosomes fused with SLBs, while GMO cubosomes accumulated and disrupted them. Further work on pH-sensitive GMO/OA systems showed structural transitions at low pH, consistent with fusion and reorganisation at the interface. In this proposal, we aim to investigate the release of the antimicrobial peptide G3 from neutral and pH-responsive LCNPs and its interaction with SLBs of varying cholesterol content using NR. By correlating the structural response of the bilayer with pH-induced phase transitions and peptide release, this study will provide nanoscale insight into the mechanisms governing drug release and membrane disruption, guiding the design of responsive LCNP carriers for biomedical applications.

Principal Investigator: Dr Michela Pisani
Experimenter: Dr Paola Astolfi
Experimenter: Dr Silvia Dante
Local Contact: Dr Mario Campana

DOI: 10.5286/ISIS.E.RB2610660

ISIS Experiment Number: RB2610660

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2610660-1 INTER 20 September 2029 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Michela Pisani et al; (2026): Monitoring the Release Mechanism of Model Drugs from Loaded Lipid Nanoparticles interacting with Lipid Membranes, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2610660

Data is released under the CC-BY-4.0 license.



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