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.
Neutron reflectometry study of birch glucuronoxylan at the oil-water interface
Abstract: Glucuronoxylan (GX) extract from birch wood has been proven to be a potential sustainable and versatile emulsifier capable of protecting emulsions against physical separation and chemical degradation, but its stabilization mechanism is yet to be fully understood. Previous studies have proven the central role of lignin in the interfacial activity, especially on the preferential adsorption of different types of lignin-carbohydrate complexes at the oil-water interface. However, the physical state of the adsorbed layer of GX at the oil-water interface is yet to be fully characterized. Therefore, we propose to use neutron reflectometry (NR), known for its capability to characterize buried interfaces under different contrast conditions, to determine the difference in thickness, roughness, and penetration depth of the adsorbed layer at the oil-water interface formed by different grades of GX. A complete understanding of the adsorbed layer would allow the emulsifying properties of GX to be tailored for different purposes, such as protecting sensitive oil-soluble bioactive compounds or targeted emulsion-based delivery systems, leading towards a more sustainable and circular utilization of birch wood biomass.
Experimenter: Dr Theodorus Felix Darpieto Abik
Experimenter: Professor Kirsi Mikkonen
Local Contact: Dr Mario Campana
Experimenter: Dr Patrícia Figueiredo
Experimenter: Mr Tiago Pinto
DOI: 10.5286/ISIS.E.RB2310039
ISIS Experiment Number: RB2310039
| Part DOI | Instrument | Public release date | Download Link |
|---|---|---|---|
| 10.5286/ISIS.E.RB2310039-1 | INTER | 20 March 2026 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Theodorus Felix Darpieto Abik et al; (2023): Neutron reflectometry study of birch glucuronoxylan at the oil-water interface, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2310039
Data is released under the CC-BY-4.0 license.
