Preprints & Data

Preprints

(Incomplete list)

M8. Li, W., Zhang, K., Qin, Y., Li, M., Li, H., Guo, M., Xu, T., Sun, Q., Ji, N., & Xie, F. (2024). Effects of sodium chloride on the textural attributes, rheological properties, microstructure, and 3d printing performance of rice starch-curdlan composite gel. SSRN, 4865595. http://dx.doi.org/10.2139/ssrn.4865595

M7. Li, W., Zhang, K., Qin, Y., Li, M., Li, H., Guo, M., Xu, T., Sun, Q., Ji, N.*, & Xie, F. (2024). Effects of sodium chloride on the textural attributes, rheological properties, microstructure, and 3d printing performance of rice starch-curdlan composite gel. SSRN, 4865595. https://dx.doi.org/10.2139/ssrn.4865595

M6. Teng, Z., Huang, X., Zhang, C., Liu, X., Li, Y., Wang, C.-S, Liu, X.*, & Xie, F. (2024). Xanthan gum modulation of octenyl succinic anhydrate starch-based high internal phase emulsions: Characterization, rheological behavior, and 3d printing applications. SSRN, 4825355. https://dx.doi.org/10.2139/ssrn.4825355

M5. Teng, Z., Huang, X., Zhang, C., Liu, X., Li, Y., Wang, C.-S, Liu, X.*, & Xie, F. (2024). Xanthan gum modulation of octenyl succinic anhydrate starch-based high internal phase emulsions: Characterization, rheological behavior, and 3d printing applications. SSRN, 4757792. http://dx.doi.org/10.2139/ssrn.4757792

M4. Lin, Z., Zhan, L., Li, Y., Qin, Y., Yang, L., Sun, Q., Ji, N.*, & Xie, F. (2024). Design and characterization of a novel core-shell nano delivery system based on zein and carboxymethylated short-chain amylose for encapsulation of curcumin. SSRN, 4690736. https://dx.doi.org/10.2139/ssrn.4690736

M3. Wang, J., Ma, Q., Cai, P., Sun, X., Sun, Q., Li, M.*, Wang, Y.*, Lei, Z., & Xie, F. (2023). On the investigation of composite cooling/heating set gel systems based on rice starch and curdlan. SSRN, 4531534. https://dx.doi.org/10.2139/ssrn.4531534

M2. Wei, H., Ma, Q., Sun, X., Fan, J., Li, M., Xu, X., Sun, Q, Xie, F.*, & Wang, Y.* (2023). Hydroxypropyl starch edible films: Effect of curdlan on the rheological properties, structure and film characteristics. SSRN, 4520720. https://dx.doi.org/10.2139/ssrn.4520720

M1. Liu, P., Ling, J., Mao, T.*, Liu, F., Zhou, W., Zhang, G.*, & Xie, F.* (2023). Adhesive and flame-retardant properties of starch/Ca2+ gels with different amylose contents. Preprints.org, 2023051318. https://www.preprints.org/manuscript/202305.1318

Datasets

D6. Thomas, R., Wang, F., Suginta, W., Chang, C.-Y., & Xie, F. (2024). Dataset for “Sodium alginate/cuprous oxide composite materials with antibacterial properties: A preliminary study revealing the counteracting effects of oligosaccharides in the matrix”. University of Bath Research Data Archive. https://doi.org/10.15125/BATH-01469

D5. Chen, Y., Rao, Y., Liu, P., Han, Z., & Xie, F. (2024). Dataset for “Facile fabrication of a starch-based wood adhesive showcasing water resistance, flame retardancy, and antibacterial properties via a dual crosslinking strategy”. University of Bath Research Data Archive. https://doi.org/10.15125/BATH-01465

D4. Chen, Y., Rao, Y., Liu, P., Wu, L., Zhang, G., Zhang, J., & Xie, F. (2024). Dataset for “High-amylose starch-based gel as green adhesive for plywood: Adhesive property, water-resistance, and flame-retardancy”. University of Bath Research Data Archive. https://doi.org/10.15125/BATH-01436

D3. Xian, D., Wu, L., Lin, K., Liu, P., Wu, S., Yuan, Y., & Xie, F. (2024). Dataset for “Augmenting corn starch gel printability for architectural 3D modeling for customized food”. University of Bath Research Data Archive. https://doi.org/10.15125/BATH-01435

D2. Ramasamy, M. S., Kaliannagounder, V. K., Novakovic, K., Tang, F., & Xie, F. (2024). Data from research to develop alginate/vermiculite composite hydrogels for 4D printing. Newcastle University. Dataset. https://doi.org/10.25405/data.ncl.26388550

D1. Sanandiya, N. D., Pai, A. R., Seyedin, S., Tang, F., Thomas, S., & Xie, F. (2024). Data from research to develop chitosan-based electroconductive inks for 3D printing for EMI shielding and strain sensing applications. Newcastle University. Dataset. https://doi.org/10.25405/data.ncl.23284328