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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

邮发代号 80-973

2018 Impact Factor: 3.883

Frontiers of Environmental Science & Engineering  2019, Vol. 13 Issue (3): 43   https://doi.org/10.1007/s11783-019-1127-2
  本期目录
Distribution and removal of antibiotic resistance genes during anaerobic sludge digestion with alkaline, thermal hydrolysis and ultrasonic pretreatments
Mengli Wang, Ruying Li(), Qing Zhao
School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
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Abstract

Sludge digestion is critical to control the spread of ARGs from wastewater to soil.

Fate of ARGs in three pretreatment-AD processes was investigated.

UP was more efficient for ARGs removal than AP and THP in pretreatment-AD process.

The total ARGs concentration showed significant correlation with 16S rRNA gene.

The bacteria carrying ARGs could be mainly affiliated with Proteobacteria.

Sewage sludge in the wastewater treatment plants contains considerable amount of antibiotic resistance genes (ARGs). A few studies have reported that anaerobic digestion (AD) could successfully remove some ARGs from sewage sludge, but information on the fate of ARGs in sludge pretreatment-AD process is still very limited. In this study, three sludge pretreatment methods, including alkaline, thermal hydrolysis and ultrasonic pretreatments, were compared to investigate the distribution and removal of ARGs in the sludge pretreatment-AD process. Results showed that the ARGs removal efficiency of AD itself was approximately 50.77%, and if these three sludge pretreatments were applied, the total ARGs removal efficiency of the whole pretreatment-AD process could be improved up to 52.50%–75.07%. The ultrasonic pretreatment was more efficient than alkaline and thermal hydrolysis pretreatments. Although thermal hydrolysis reduced ARGs obviously, the total ARGs rebounded considerably after inoculation and were only removed slightly in the subsequent AD process. Furthermore, it was found that the total ARGs concentration significantly correlated with the amount of 16S rRNA gene during the pretreatment and AD processes, and the bacteria carrying ARGs could be mainly affiliated with Proteobacteria.

Key wordsTetracycline resistance genes    Sulfonamide resistance genes    16S rRNA gene    Sludge pretreatment    Anaerobic sludge digestion
收稿日期: 2019-01-29      出版日期: 2019-06-18
Corresponding Author(s): Ruying Li   
 引用本文:   
. [J]. Frontiers of Environmental Science & Engineering, 2019, 13(3): 43.
Mengli Wang, Ruying Li, Qing Zhao. Distribution and removal of antibiotic resistance genes during anaerobic sludge digestion with alkaline, thermal hydrolysis and ultrasonic pretreatments. Front. Environ. Sci. Eng., 2019, 13(3): 43.
 链接本文:  
https://academic.hep.com.cn/fese/CN/10.1007/s11783-019-1127-2
https://academic.hep.com.cn/fese/CN/Y2019/V13/I3/43
Sludge samples RS AP THP UP RS&IS AP&IS THP&IS UP&IS RS-AD AP-AD THP-AD UP-AD
Parameters
SCOD (mg/L) 250 3630 6670 3480 350 1530 2950 1640 1245 1365 1730 1425
(10) (42) (85) (28) (14) (28) (42) (28) (64) (21) (57) (64)
SP (mg/L) 121.43 771.43 3150.00 1521.43 121.43 435.71 1621.43 721.43 978.57 1028.57 1157.14 1042.86
(2.15) (8.89) (12.73) (28.28) (4.24) (16.97) (28.55) (11.31) (0.00) (50.51) (10.10) (10.10)
VS/TS (%) 67.19 64.01 68.04 67.88 51.67 50.73 52.31 51.65 28.90 28.14 27.99 29.13
(0.01) (0.41) (0.73) (0.02) (0.36) (0.50) (0.01) (0.01) (0.07) (0.12) (0.09) (0.01)
Cumulative biogas (mL) 451.0 463.8 547.3 509.8
(3.9) (16.3) (2.1) (9.9)
Tab.1  
Fig.1  
Fig.2  
intI1 Parameters Tet genes Sul genes
tetA tetB tetC tetG tetM tetO tetQ tetS sulI sulII
intI1 after pretreatments ra) 1.000** 0.903 0.982* 0.979* 0.960* 0.776 0.670 0.940 0.996** 0.828
pb) 0.000 0.097 0.018 0.021 0.040 0.224 0.330 0.060 0.004 0.172
intI1 after
AD experiments
r 0.953** 0.155 0.901** 0.935** -0.768* -0.664 -0.732* 0.633 0.979** 0.978**
p 0.000 0.714 0.002 0.001 0.026 0.073 0.039 0.092 0.000 0.000
Tab.2  
Fig.3  
Fig.4  
Fig.5  
Microbial community Total ARGs
ra) pb)
Predominant phyla Proteobacteria 0.731** 0.007
Bacteroidetes -0.698* 0.012
Firmicutes -0.652* 0.022
Predominant classes Betaproteobacteria 0.732** 0.007
Bacteroidia -0.667* 0.018
Clostridia -0.624* 0.030
Tab.3  
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