A novel approach for characterization of exopolymeric material in sewage sludge
(2006) In Journal of Residuals Science and Technology 3(2). p.97-103- Abstract
- The digestibility of sludge is dependent on the content of organic extra-cellular polymeric substances. Currently the most appropriate and rapid assessment methods for the organic content of wastewater are the chemical oxygen demand and volatile solids values. These parameters also measure the non-biodegradable organics. We have developed a method to predict sewage sludge digestibility and the appropriate composition of enzymes needed. Sludge is treated with selected enzymes and the released products characterized using a lectin panel. One protease and several glycosidases were selected and applied under mild conditions to minimize lysis of cells in the sludge. Combinations of enzymes with and without sodium triphosphate pentabasic were... (More)
- The digestibility of sludge is dependent on the content of organic extra-cellular polymeric substances. Currently the most appropriate and rapid assessment methods for the organic content of wastewater are the chemical oxygen demand and volatile solids values. These parameters also measure the non-biodegradable organics. We have developed a method to predict sewage sludge digestibility and the appropriate composition of enzymes needed. Sludge is treated with selected enzymes and the released products characterized using a lectin panel. One protease and several glycosidases were selected and applied under mild conditions to minimize lysis of cells in the sludge. Combinations of enzymes with and without sodium triphosphate pentabasic were studied. Partially enzymaticaly hydrolyzed extra-cellular polymeric substances and the released glycoconjugates were quantitatively determined by conventional methods. Surface plasmon resonance was used to investigate the interaction of extracts with a lectin panel. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/409523
- author
- Dey, Estera LU ; Szewczyk, Emil LU ; Wawrzynczyk, Joanna LU and Norrlöw, Olof LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Residuals Science and Technology
- volume
- 3
- issue
- 2
- pages
- 97 - 103
- publisher
- DEStech Publications
- external identifiers
-
- wos:000237542900004
- scopus:34250626118
- ISSN
- 1544-8053
- language
- English
- LU publication?
- yes
- id
- 40906912-ea9f-40e4-beb9-4976b64384c4 (old id 409523)
- date added to LUP
- 2016-04-01 17:08:38
- date last changed
- 2022-02-13 03:04:38
@article{40906912-ea9f-40e4-beb9-4976b64384c4,
abstract = {{The digestibility of sludge is dependent on the content of organic extra-cellular polymeric substances. Currently the most appropriate and rapid assessment methods for the organic content of wastewater are the chemical oxygen demand and volatile solids values. These parameters also measure the non-biodegradable organics. We have developed a method to predict sewage sludge digestibility and the appropriate composition of enzymes needed. Sludge is treated with selected enzymes and the released products characterized using a lectin panel. One protease and several glycosidases were selected and applied under mild conditions to minimize lysis of cells in the sludge. Combinations of enzymes with and without sodium triphosphate pentabasic were studied. Partially enzymaticaly hydrolyzed extra-cellular polymeric substances and the released glycoconjugates were quantitatively determined by conventional methods. Surface plasmon resonance was used to investigate the interaction of extracts with a lectin panel.}},
author = {{Dey, Estera and Szewczyk, Emil and Wawrzynczyk, Joanna and Norrlöw, Olof}},
issn = {{1544-8053}},
language = {{eng}},
number = {{2}},
pages = {{97--103}},
publisher = {{DEStech Publications}},
series = {{Journal of Residuals Science and Technology}},
title = {{A novel approach for characterization of exopolymeric material in sewage sludge}},
volume = {{3}},
year = {{2006}},
}