Enhancement of nitrite/ammonia removal from saline recirculating aquaculture wastewater system using moving bed bioreactor

被引:29
|
作者
Tadda, Musa Abubakar [1 ,2 ]
Li, Changwei [1 ]
Gouda, Mostafa [1 ,3 ]
Abomohra, Abd El-Fatah [4 ]
Shitu, Abubakar [1 ,2 ]
Ahsan, Amimul [5 ]
Zhu, Songming [1 ]
Liu, Dezhao [1 ]
机构
[1] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Key Lab Equipment & Informatizat Environm Control, Minist Agr & Rural Affairs, Hangzhou 310058, Peoples R China
[2] Bayero Univ, Fac Engn, Dept Agr & Environm Engn, Kano, Nigeria
[3] Natl Res Ctr, Dept Nutr & Food Sci, Giza, Dokki, Egypt
[4] Chengdu Univ, Sch Architecture & Civil Engn, Dept Environm Engn, Chengdu 610106, Peoples R China
[5] Islamic Univ Technol IUT, Dept Civil & Environm Engn, Gazipur 1704, Bangladesh
来源
关键词
Recirculating aquaculture system (RAS); Moving bed biofilm reactor (MBBR); Mature biofilms; Nitrite removal; Aerobic denitrifiers; Partial least squares-discriminant analysis (PLS-DA); AUTOTROPHIC NITROGEN REMOVAL; MICROBIAL COMMUNITY; MEMBRANE BIOREACTORS; CANON PROCESS; NITRITE; BIOFILM; AMMONIA; PERFORMANCE; INTENSITY; RESPONSES;
D O I
10.1016/j.jece.2021.105947
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Innovative removal of toxic nitrite and ammonia is one of the key approaches for efficient aquaculture biotechnology. This study suggests a fast removal technique of high-levels of nitrite and ammonia using recirculating aquaculture wastewater at 30%o salinity. Four lab-scale moving bed biofilm reactors (MBBRs; R1, R2, R3, and R4) were operated in parallel for 56 days with different combinations of mature and fresh biofilms on biocarriers at 30% filling ratio. Nitrogen removal efficiency, biofilm physicochemical properties, and microbial analyses were conducted using PCR and sequencing techniques at the region of the 16S ribosomal RNA. The results showed that R4 (using mature biofilms) recorded the highest nitrite and ammonia removal (99.6% and 95.3%, respectively) compared to the control, R1 (94.1% and 89.4%). Meanwhile, the removal rate of ammonia in R4 was significantly the fastest compared to other reactors. Partial Least Squares-Discriminant Multivariate Analysis (PLS-DA) model showed a good prediction with very high accuracy and prediction (Q2 > 0.8) for the first three principal components pertaining to nitrite and ammonia removal. Planktosalinus genus was the most abundant in R4, while pmteobacteria phylum was the dominant, followed by Marinobacter and Nitrospina in all reactors. Overall, the use of mature biofilms in MBBR was proven to increase bacterial diversity, enhancing nitrite and ammonia removal efficiency.
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页数:11
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