Food, Water, Waste Research Group

Publications

Content
MUNIRA ZAINAL ABIDIN, KONSTANTINA KOURMENTZA and KESHAVAN NIRANJAN, 2023. Chitin Oligosaccharide N,N′-Diacetylchitobiose (GlcNAc2) as Antimicrobial Coating against Listeria monocytogenes on Ready-to-Eat Shrimp Sustainability. 10099

Content
ERMINTA TSOUKO, SOTIRIOS PILAFIDIS, MARIA DIMOPOULOU, KONSTANTINA KOURMENTZA and DIMITRIS SARRIS, 2023. Bioconversion of underutilized brewing by-products into bacterial cellulose by a newly isolated Komagataeibacter rhaeticus strain: A preliminary evaluation of the bioprocess environmental impact Bioresource Technology. 387, 129667

Content
BOMBANA, A., SHANMUGAM, M., COLLISON, D., KIBLER, A. J., NEWTON, G. N., JÄGER, C. M., CROFT, A. K., MORRA, S. and MITCHELL, N. J., 2023. Application of a Synthetic Ferredoxin-Inspired [4Fe4S]-Peptide Maquette as the Redox Partner for an [FeFe]-Hydrogenase CHEMBIOCHEM. e202300250

Content
VALERIO FUNARI, SIMONE TOLLER, LAURA VITALE, RAFAEL M. SANTOS and HELENA I. GOMES, 2023. Urban mining of municipal solid waste incineration (MSWI) residues with emphasis on bioleaching technologies: a critical review Environ Sci Pollut Res.

Content
OKECHUKWU OKORIE, JENNIFER RUSSELL, RUTH CHERRINGTON, OLIVER FISHER and FIONA CHARNLEY, 2023. Digital transformation and the circular economy: Creating a competitive advantage from the transition towards Net Zero Manufacturing Resources, Conservation and Recycling. 189, 106756

Content
OLIVER J FISHER, AHMED RADY, ALY AA EL-BANNA, NICHOLAS J WATSON and HAITHAM H EMAISH, 2023. An image processing and machine learning solution to automate Egyptian cotton lint grading Textile Research Journal. 93(11-12), 2558-2575

Content
FISHER, OLIVER J., RADY, AHMED, EL-BANNA, ALY A. A., EMAISH, HAITHAM H. and WATSON, NICHOLAS J., 2023. AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden Sensors. 23(21),

Content
XIN YEE TAI, LEI XING, YUE ZHANG, QIAN FU, OLIVER FISHER, STEVE D.R. CHRISTIE and JIN XUAN, 2023. Dynamic optimisation of CO2 electrochemical reduction processes driven by intermittent renewable energy: Hybrid deep learning approach Digital Chemical Engineering. 9, 100123

Content
YANG, ZHENTENG, XIA, XINCHEN, TEO, FANG-YENN, LIM, SIN-POH and YUAN, DEKUI, 2023. An Improved DINEOF Algorithm Based on Optimized Validation Points Selection Method WATER. 15(3),

Content
WONG, HUI LING and TEO, FANG YENN, 2023. Hydrodynamic modelling and shape optimisation of second-generation coastal reservoirs in consideration of algal bloom occurrence ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY.

Content
BUGAJE, B., RUTHERFORD, P. and CLIFFORD, M., 2022. Convenience in a residence with demand response: A system dynamics simulation model: Applied Energy Applied Energy. 314,

Content
OBI, O. F., PECENKA, R. and CLIFFORD, M. J., 2022. A Review of Biomass Briquette Binders and Quality Parameters: Energies Energies. 15(7),

Content
ROBINSON, J., BINNER, E., VALLEJO, D. B., PEREZ, N. D., AL MUGHAIRI, K., RYAN, J., SHEPHERD, B., ADAM, M., BUDARIN, V., FAN, J., GRONNOW, M. and PENERANDA-FOIX, F., 2022. Unravelling the mechanisms of microwave pyrolysis of biomass: Chemical Engineering Journal Chemical Engineering Journal. 430,

Content
DURÁN-JIMÉNEZ, G., RODRIGUEZ, J., KOSTAS, E. T., STEVENS, L. A., LOZADA-RODRÍGUEZ, L., BINNER, E. and DODDS, C., 2022. Simultaneous conventional and microwave heating for the synthesis of adsorbents for CO2 capture: Comparative study to pristine technologies: Chemical Engineering Journal Chemical Engineering Journal. 438,
Displaying 16 to 30 of 634
Previous 1 2 3 4 5 … Next

Food, Water, Waste Research Group

Faculty of Engineering
The University of Nottingham
Nottingham, NG7 2RD


telephone: +44 (0)115 82 32502
email:FWW@nottingham.ac.uk