The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/f61d67de-06d3-4465-9a20-90e41796e899

Li, Ji (2024): Data underlying the research of the Recovery and Characterization of Extracellular Polymeric Substances from Activated Sludge. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f61d67de-06d3-4465-9a20-90e41796e899.v1

Dataset

• Civil Engineering
• Environmental and Natural Resource Evaluation
• Physical and Chemical Conditions of Water
• Engineering
• Environment

activated sludge, alginate-like exopolymers (ALE), extracellular polymeric substances (EPS), functional groups, lipopolysaccharides (LPS), sugar monomers

2019-2024

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ji Li

1) Research objective: Our research focuses on the extraction and characterization of extracellular polymeric substances (EPS) from activated sludge. All the samples primarily activated sludge, are collected from lab-scale and full-scale wastewater plants. 2) Data collection and type: The data type is the results associated with the chemical and physical characteristics of sludge and EPS samples. All chemical and physical measurements are based on laboratory instruments. Specifically, after collection, the hot alkaline protocol is applied to extract EPS. Subsequent analyses include total proteins and total sugars, functional groups, monosugars, staining methods, and microscopic visualization, all conducted following standard methods. 3) Data statistic: Raw data is analyzed and designed using the Excel and Origin software. No scripts and relevant coding methods are used in our research. Further analysis of the results and mechanism can be found in the main text of the thesis. 

• 2024-07-12 first online, published, posted

4TU.ResearchData

*.xlsx; *.OPJU

Reinvestigating the composition of alginate-like exopolymers extracted from activated sludge

• https://doi.org/https://doi.org/10.1016/j.cej.2022.135792
• https://doi.org/10.1016/j.watres.2021.117706

• REThiNk (grant code NNF22OC0071498) the Novo Nordisk Foundation

TU Delft, Faculty of Applied Sciences, Department of Biotechnology
Beijing University of Civil Engineering and Architecture, Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies