Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86569
Title: Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances
Authors: Xiao, Keke
Chen, Yun
Jiang, Xie
Zhou, Yan
Keywords: Loosely Bound Extracellular Polymeric Substances
Sludge Filterability
Issue Date: 2016
Source: Xiao, K., Chen, Y., Jiang, X., & Zhou, Y. (2017). Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances. Chemosphere, 170, 233-241.
Series/Report no.: Chemosphere
Abstract: An investigation was conducted for 20 different types of sludge in order to identify the key organic compounds in extracellular polymeric substances (EPS) that are important in assessing variations of sludge filterability. The different types of sludge varied in initial total solids (TS) content, organic composition and pre-treatment methods. For instance, some of the sludges were pre-treated by acid, ultrasonic, thermal, alkaline, or advanced oxidation technique. The Pearson's correlation results showed significant correlations between sludge filterability and zeta potential, pH, dissolved organic carbon, protein and polysaccharide in soluble EPS (SB EPS), loosely bound EPS (LB EPS) and tightly bound EPS (TB EPS). The principal component analysis (PCA) method was used to further explore correlations between variables and similarities among EPS fractions of different types of sludge. Two principal components were extracted: principal component 1 accounted for 59.24% of total EPS variations, while principal component 2 accounted for 25.46% of total EPS variations. Dissolved organic carbon, protein and polysaccharide in LB EPS showed higher eigenvector projection values than the corresponding compounds in SB EPS and TB EPS in principal component 1. Further characterization of fractionized key organic compounds in LB EPS was conducted with size-exclusion chromatography-organic carbon detection-organic nitrogen detection (LC-OCD-OND). A numerical multiple linear regression model was established to describe relationship between organic compounds in LB EPS and sludge filterability.
URI: https://hdl.handle.net/10356/86569
http://hdl.handle.net/10220/44107
ISSN: 0045-6535
DOI: http://dx.doi.org/10.1016/j.chemosphere.2016.12.030
Rights: © 2016 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Chemosphere, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.chemosphere.2016.12.030].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:NEWRI Journal Articles

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