Treatment System
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Chemosphere ◽  
2022 ◽  
Vol 287 ◽  
pp. 132029
Norihiro Suzuki ◽  
Akihiro Okazaki ◽  
Kai Takagi ◽  
Izumi Serizawa ◽  
Yuki Hirami ◽  

2021 ◽  
Vol 7 (6) ◽  
Sattar Ali ◽  
Ahmed Olanrewaju Ijaola ◽  
Eylem Asmatulu

2021 ◽  
Vol 9 (10) ◽  
pp. 2134
Lin Shi ◽  
Naiyuan Liu ◽  
Gang Liu ◽  
Jun Fang

Chemicals of emerging concern (CEC) in pig farm breeding wastewater, such as antibiotics, will soon pose a serious threat to public health. It is therefore essential to consider improving the treatment efficiency of piggery wastewater in terms of microorganisms. In order to optimize the overall piggery wastewater treatment system from the perspective of the bacterial community structure and its response to environmental factors, five samples were randomly taken from each area of a piggery’s wastewater treatment system using a random sampling method. The bacterial communities’ composition and their correlation with wastewater quality were then analyzed using Illumina MiSeq high-throughput sequencing. The results showed that the bacterial community composition of each treatment unit was similar. However, differences in abundance were significant, and the bacterial community structure gradually changed with the process. Proteobacteria showed more adaptability to an anaerobic environment than Firmicutes, and the abundance of Tissierella in anaerobic zones was low. The abundance of Clostridial (39.02%) and Bacteroides (20.6%) in the inlet was significantly higher than it was in the aerobic zone and the anoxic zone (p < 0.05). Rhodocyclaceae is a key functional microbial group in a wastewater treatment system, and it is a dominant microbial group in activated sludge. Redundancy analysis (RDA) showed that chemical oxygen demand (COD) had the greatest impact on bacterial community structure. Total phosphorus (TP), total nitrogen (TN), PH and COD contents were significantly negatively correlated with Sphingobacteriia, Betaproteobacteria and Gammaproteobacteria, and significantly positively correlated with Bacteroidia and Clostridia. These results offer basic data and theoretical support for optimizing livestock wastewater treatment systems using bacterial community structures.

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2756
Liliana Alzate-Gaviria ◽  
Raul Tapia-Tussell ◽  
Jorge Domínguez-Maldonado ◽  
Rubi Chable-Villacis ◽  
Gabriela Rosiles González ◽  

Bioelectrochemical technologies offer alternative ways of treating wastewater and using this process to generate electricity. However, research in this area is just beginning to consider environmental transmission of viruses present in wastewater. The viral fecal indicator coliphage MS2 (the most frequently used pathogen model) was used in this study, since it is a well-known indigenous wastewater virus. The scaled-up bioelectrochemical system had a working volume of 167 L and coliphage MS2 concentration decreased from 8000 to 285 PFU/mL. The kinetics were quantified up to 15 h, after which excessive yeast growth in the system prevented further bacteriophage determination. The logarithmic reduction value (LRV) calculated within the first three hours was 3.8. From 4 hours to 14, LRV values were from 4.1 to 4.8, and in hour 15 the LRV increased to 5.3, yielding a more than 90% reduction. Overall, results obtained indicate that the scaled-up bioelectrochemical treatment system was efficient in reducing coliphage MS2 densities and could be used as a model to explore its further applicability for the reduction of viruses or pathogens in treated effluents.

2021 ◽  
pp. 117763
Yuchun Yang ◽  
Mohammad Azari ◽  
Craig W. Herbold ◽  
Meng Li ◽  
Huaihai Chen ◽  

2021 ◽  
Amit Tiwari ◽  
Anurag Durve ◽  
Pradhan Srinivasan ◽  
Jyotirmoy Barman

Nhung Thi-Tuyet Hoang ◽  
Quyen Kim Thi Doan ◽  
An Le-Thanh ◽  
Anh Thi-Kim Tran ◽  
Nguyen Nhat Huy

2021 ◽  
Vol 43 ◽  
pp. 102309
Maggie Ntombifuthi Bingo ◽  
Mahomet Njoya ◽  
Moses Basitere ◽  
Seteno Karabo Obed Ntwampe ◽  
Ephraim Kaskote

2021 ◽  
Vol 43 ◽  
pp. 102311
Carlos Saúco ◽  
Raúl Cano ◽  
David Marín ◽  
Enrique Lara ◽  
Frank Rogalla ◽  

Qinde Wu ◽  
Xianyu Xie ◽  
Wenbin Liu ◽  
Yong Wu

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