Projects per year
My research background is in environmental biotechnology and microbiology, where I worked on biological wastewater treatment systems, in particular for nutrient removal - phosphorus and nitrogen. I am currently interested in integrating the existing knowledge on complex microbial systems for wastewater treatment using both experimental and modelling techniques.
Environmental Biotechnology, Doctor of Engineering, Universidade Nova de Lisboa
Award Date: 2 Jul 2012
5-year MEng in Biological Engineering, University of Lisbon
Award Date: 5 Sep 2005
Associate Editor Water Science and Technology Journal, IWA Publishing11 Aug 2017 → …
Emerging Water Leaders Steering Committee, International Water AssociationSep 2016 → Sep 2018
Adjusting Organic Load as a Strategy to Direct Single-Stage Food Waste Fermentation from Anaerobic Digestion to Chain ElongationDe Groof, V., Coma, M., Arnot, T., Leak, D. & Lanham, A., 18 Nov 2020, In: Processes. 8, 11, 18 p., 1487.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile4 Citations (Scopus)8 Downloads (Pure)
Biopolymers production from wastewater: potential to produce polyhydroxyalkanoates in biological nutrient removal systemsRuna, V., Lanham, A. & Bengtsson, S., 1 Sep 2020.
Research output: Contribution to conference › Other › peer-review
De Groof, V., Lanham, A., Arnot, T., Leak, D. & Coma, M., 2 Nov 2020. 1 p.
Research output: Contribution to conference › AbstractOpen Access
Bioplastics production potential from wastewater: a survey of polyhydroxyalkanoates composition in UK wastewater treatment plantsRuna, V. & Lanham, A., 13 Jul 2019.
Research output: Contribution to conference › Other
Dataset for "Adjusting organic load as a strategy to direct single-stage food waste fermentation from anaerobic digestion to chain elongation"
Dataset on experimental data available in the literature on "Medium chain carboxylic acids from complex organic feedstock by mixed culture fermentation"
Dataset for "Selecting fermentation products for food waste valorisation with HRT and OLR as the key operational parameters"