Project Details
Description
This fellowship programme will take a circular economy (CE) approach and unlock the huge potential of renewable biomass, which can be easily sourced from agriculture/aquaculture/food industry as byproducts or wastes. The biomass contains biopolymers cellulose, chitin/chitosan, starch, protein, alginate and lignin, which are valuable resources for making environmentally friendly materials. Moreover, these biopolymers have unique properties and functions, which make them highly potential in important, rapidly growing applications such as therapeutic agent delivery, tissue engineering scaffolds, biological devices, green electronics, sensing, dye and heavy metal removal, oil/water separation, and optics. However, enormous challenges exist to process biopolymers and achieve desired properties/functions cost-effectively; these valuable biomass resources have long been underutilised. This proposed ambitious and adventurous research will focus on the smart design of materials formulation and engineering process from an interdisciplinary perspective to realise the assembly of biopolymer composite materials under a single flow process. This will eventually lead to a reinvented, cost-effective engineering technology based on 3D printing to produce a diverse range of robust, biopolymer composite materials with tailored structure, properties and functionality. Due to the versatile chemistry of biopolymers for modification, the bespoke 'green' materials are expected to outperform many synthetic polymers and composites for specific applications such as tissue engineering and controlled release. The outcomes of this transformative project will not only provide fundamental knowledge leading to a completely new line of research, but also deliver ground-breaking technologies that will impact the UK's plastic industry by providing truly sustainable and high-performance options for high-end technological areas (e.g. healthcare and agriculture).
| Status | Finished |
|---|---|
| Effective start/end date | 1/12/23 → 31/12/25 |
Funding
- Engineering and Physical Sciences Research Council

RCUK Research Areas
- Manufacturing
- Manufacturing Machinery & Plant
- Materials sciences
- Biomaterials
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Sodium Alginate/Cuprous Oxide Composite Materials with Antibacterial Properties: A Preliminary Study Revealing the Counteracting Effects of Oligosaccharides in the Matrix
Thomas, R., Wang, F., Suginta, W., Chang, C. Y. & Xie, F., 31 May 2025, In: Foods. 14, 10, 1666.Research output: Contribution to journal › Article › peer-review
Open Access -
Advanced functional chitosan-based nanocomposite materials for performance-demanding applications
Guo, Y., Qiao, D., Zhao, S., Zhang, B. & Xie, F., 31 Oct 2024, In: Progress in Polymer Science. 157, 101872.Research output: Contribution to journal › Article › peer-review
Open AccessFile38 Link opens in a new tab Citations (SciVal)397 Downloads (Pure) -
Augmenting corn starch gel printability for architectural 3D modeling for customized food
Xian, D., Wu, L., Lin, K., liu, P., Wu, S., Yuan, Y. & Xie, F., 30 Nov 2024, In: Food Hydrocolloids. 156, 110294 p., 110294.Research output: Contribution to journal › Article › peer-review
Open AccessFile23 Link opens in a new tab Citations (SciVal)267 Downloads (Pure)
Datasets
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Dataset for "Facile fabrication of a starch-based wood adhesive showcasing water resistance, flame retardancy, and antibacterial properties via a dual crosslinking strategy"
Chen, Y. (Creator), Rao, Y. (Creator), Liu, P. (Creator), Han, Z. (Creator) & Xie, F. (Creator), University of Bath, 1 Nov 2024
DOI: 10.15125/BATH-01465
Dataset
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Dataset for "Sodium alginate/cuprous oxide composite materials with antibacterial properties: A preliminary study revealing the counteracting effects of oligosaccharides in the matrix"
Thomas, R. (Creator), Wang, F. (Creator), Suginta, W. (Creator), Chang, C.-Y. (Creator) & Xie, F. (Creator), University of Bath, 8 May 2025
DOI: 10.15125/BATH-01469
Dataset
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Dataset for "Augmenting corn starch gel printability for architectural 3D modeling for customized food"
Xian, D. (Creator), Wu, L. (Creator), Lin, K. (Creator), Liu, P. (Creator), Wu, S. (Creator), Yuan, Y. (Creator) & Xie, F. (Creator), University of Bath, 4 Sept 2024
DOI: 10.15125/BATH-01435
Dataset