Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances
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, or...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Online Access: | https://hdl.handle.net/10356/86569 http://hdl.handle.net/10220/44107 |
| _version_ | 1811693392164290560 |
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| author | Xiao, Keke Chen, Yun Jiang, Xie Zhou, Yan |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Xiao, Keke Chen, Yun Jiang, Xie Zhou, Yan |
| author_sort | Xiao, Keke |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T06:50:57Z |
| format | Journal Article |
| id | ntu-10356/86569 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:50:57Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/865692020-09-26T22:01:28Z Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances Xiao, Keke Chen, Yun Jiang, Xie Zhou, Yan School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Loosely Bound Extracellular Polymeric Substances Sludge Filterability 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. Accepted version 2017-12-07T08:29:39Z 2019-12-06T16:24:55Z 2017-12-07T08:29:39Z 2019-12-06T16:24:55Z 2016 Journal Article 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. 0045-6535 https://hdl.handle.net/10356/86569 http://hdl.handle.net/10220/44107 10.1016/j.chemosphere.2016.12.030 en Chemosphere © 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]. 33 p. application/pdf |
| spellingShingle | Loosely Bound Extracellular Polymeric Substances Sludge Filterability Xiao, Keke Chen, Yun Jiang, Xie Zhou, Yan Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances |
| title | Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances |
| title_full | Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances |
| title_fullStr | Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances |
| title_full_unstemmed | Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances |
| title_short | Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances |
| title_sort | evaluating filterability of different types of sludge by statistical analysis the role of key organic compounds in extracellular polymeric substances |
| topic | Loosely Bound Extracellular Polymeric Substances Sludge Filterability |
| url | https://hdl.handle.net/10356/86569 http://hdl.handle.net/10220/44107 |
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