Projects per year
Abstract
Interfacial gels, obtained by the interaction of water-dispersible oxidised cellulose nanofibrils (OCNF) and oil-soluble oleylamine (OA), were produced across water/oil (W/O) interfaces. Surface rheology experiments showed that the complexation relies on the charge coupling between the negatively-charged OCNF and OA. Complexation across the W/O interface was found to be dependent on the ζ-potential of the OCNF (modulated by electrolyte addition), leading to different interfacial properties. Spontaneous OCNF adsorption at the W/O interface occurred for particles with ζ-potential more negative than -30 mV, resulting in the formation of interfacial gels; whilst for particles with ζ-potential of ca. -30 mV, spontaneous adsorption occurred, coupled with augmented interfibrillar interactions, yielding stronger and tougher interfacial gels. On the contrary, charge neutralisation of OCNF (ζ-potential values more positive than -30 mV) did not allow spontaneous adsorption of OCNF at the W/O interface. In the case of favourable OCNF adsorption, the interfacial gel was found to embed oil-rich droplets-a spontaneous emulsification process.
Original language | English |
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Pages (from-to) | 357-365 |
Journal | Soft Matter |
Volume | 16 |
Issue number | 2 |
Early online date | 7 Nov 2019 |
DOIs | |
Publication status | Published - 14 Jan 2020 |
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Dive into the research topics of 'Charge-driven interfacial gelation of cellulose nanofibrils across the water/oil interface'. Together they form a unique fingerprint.Projects
- 1 Finished
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New Enzymatically Produced Interpenetrating Starch-Cellulose Gels
Edler, K. (PI) & Scott, J. L. (CoI)
Engineering and Physical Sciences Research Council
6/06/16 → 31/01/21
Project: Research council
Datasets
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Dataset for Charge-driven interfacial gelation of cellulose nanofibrils across the water/oil interface
Calabrese, V. (Creator), da Silva, M. (Creator), Schmitt, J. (Creator), Hossain, K. M. Z. (Creator), Scott, J. L. (Creator) & Edler, K. (Creator), University of Bath, 7 Nov 2019
DOI: 10.15125/BATH-00662
Dataset