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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Scale-up evaluation of anaerobic degradation of linear alkylbenzene sulfonate from sanitary sewage in expanded granular sludge bed reactor

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Author(s):
Granatto, C. F. [1] ; Macedo, T. Z. [1] ; Gerosa, L. E. [1] ; Sakamoto, I. K. [1] ; Silva, E. L. [2] ; Varesche, M. B. A. [1]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Dept Hydraul & Sanitat, Lab Biol Proc, Engn Sch Sao Carlos, EESC, Campus 2, BR-13563120 Sao Carlos, SP - Brazil
[2] Univ Fed Sao Carlos, Dept Chem Engn, Rod Washington Luiz, Km 235, SP 310, BR-13565905 Sao Carlos, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: INTERNATIONAL BIODETERIORATION & BIODEGRADATION; v. 138, p. 23-32, MAR 2019.
Web of Science Citations: 1
Abstract

Sanitary sewage composed of 6.2 +/- 3.2 mgLAS L-1, low diversity of organic acids (21.4 +/- 18.9 and 2.1 +/- 3.9 mg L-1, for acetic and propionic, respectively), metals (Fe, Zn, Pb, Mn, Ni, Cr, Cu) and xenobiotic compounds (limonene, terpinene, phenol, indolizine) were used in the pilot-scale EGSB reactor feed (69 L). For influent load of 1.4 +/- 0.7 mgLAS gVS(-1)d(-1) and 50 +/- 15 mgCOD gVS(-1) d(-1), removal efficiencies were 60 +/- 30% and 77 +/- 28% for LAS and COD, respectively. According to the alpha diversity indices (Shannon, Chao-land Simpson), the sanitary sewage composition did not negatively affect the microbial richness throughout the 314 days of EGSB reactor operation. Bacteria related to LAS degradation such as Synergistes, Syntrophus, Clostridium and Geobacter were identified. For the Archaea Domain, Methanosaeta was the dominant genus. Therefore, in the present study the application of a pilot-scale EGSB reactor was considered viable for the LAS bioremediation in sanitary sewage. (AU)

FAPESP's process: 15/02640-2 - Scale-up of fluidized bed reactor for treatment of commercial laundry wastewater plus domestic sewage: optimization of operational conditions
Grantee:Thaís Zaninetti Macedo Carmelo
Support type: Scholarships in Brazil - Doctorate