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Sun D, Shi X, Shen Y, Liu Y, Luo S, Jin Y, Zhai W, Liu L, Deng Z, Sun C, Liu D, Yang X, Xie Y, Krüger-Haker H, Wu C, Schwarz S, Shen J, Chen Y, Ma S, Wang Y. Comparative efficacy of anaerobic digestion systems in removing antimicrobial resistance genes from swine wastewater. JOURNAL OF HAZARDOUS MATERIALS 2025; 485:136868. [PMID: 39708598 DOI: 10.1016/j.jhazmat.2024.136868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Revised: 12/10/2024] [Accepted: 12/11/2024] [Indexed: 12/23/2024]
Abstract
Swine farm wastewater is a major reservoir of antimicrobial resistance genes (ARGs). Anaerobic digestion (AD), widely implemented in farms, has been extensively studied for ARG removal. However, a comparative study on ARG removal efficiency across the four principal AD systems - up-flow anaerobic sludge blanket (UASB), continuous stirred tank reactor (CSTR), buried biogas digester (BBD), and septic tank (SPT) - is lacking. Herein, we employed metagenomic sequencing, ultra-performance liquid chromatography-tandem mass spectrometry, as well as atomic absorption spectrometry/atomic fluorescence spectrophotometry, and revealed that UASB and CSTR achieved higher removal efficiencies for both ARGs (67% and 57%) and antibiotic residues (100% and 90%) compared to BBD and SPT. Acinetobacter, Escherichia, Pseudomonas and Streptococcus were the primary ARG hosts, comprising over 65% of the total abundance in influent samples. UASB and CSTR systems demonstrated superior removal efficiencies for both mobile genetic elements (MGEs) and antibiotic residues, both of which had essential impacts on ARG profiles. In addition, heavy metals might contribute to variation in ARGs through horizontal gene transfer. Collectively, the variation in microbial communities and better removal of both MGEs and antibiotic residues contribute to the remarkable ARG removal efficiency of UASB and CSTR, therefore, advocating for the widespread adoption of these two AD systems in swine farms.
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Affiliation(s)
- Da Sun
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xiaomin Shi
- Beijing Key Laboratory of Traditional Chinese Veterinary Medicine, Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Yingbo Shen
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Ying Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Sunlin Luo
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yongpeng Jin
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Weishuai Zhai
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Lu Liu
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Zhaoju Deng
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Chengtao Sun
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Dejun Liu
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xin Yang
- Hainan Animal Disease Control Center, Haikou 571100, China
| | - Youzhi Xie
- Hainan Animal Disease Control Center, Haikou 571100, China
| | - Henrike Krüger-Haker
- Institute of Microbiology and Epizootics, Center for Infection Medicine, School of Veterinary Medicine, Freie Universität Berlin, Berlin 14163, Germany; Veterinary Centre for Resistance Research (TZR), School of Veterinary Medicine, Freie Universität Berlin, Berlin 14163, Germany
| | - Congming Wu
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Stefan Schwarz
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; Institute of Microbiology and Epizootics, Center for Infection Medicine, School of Veterinary Medicine, Freie Universität Berlin, Berlin 14163, Germany; Veterinary Centre for Resistance Research (TZR), School of Veterinary Medicine, Freie Universität Berlin, Berlin 14163, Germany
| | - Jianzhong Shen
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yiqiang Chen
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Shizhen Ma
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
| | - Yang Wang
- Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya 572025, China; National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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Wang Z, Li L, Hong Y. Trilogy of comprehensive treatment of kitchen waste by bacteria-microalgae-fungi combined system: Pretreatment, water purification and resource utilization, and biomass harvesting. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175160. [PMID: 39084368 DOI: 10.1016/j.scitotenv.2024.175160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 07/14/2024] [Accepted: 07/28/2024] [Indexed: 08/02/2024]
Abstract
Given its profound disservice, a bacteria-microalgae-fungi combined system was designed to treat kitchen waste. Firstly, a new type of microbial agent homemade compound microorganisms (HCM) (composed of Serratia marcescens, Bacillus subtilis and other 11 strains) with relatively high bio-security were developed for pretreating kitchen waste, and HCM efficiently degraded 85.2 % cellulose, 94.3 % starch, and 59.0 % oil. HCM also accomplished brilliantly the initial nutrients purification and liquefaction conversion of kitchen waste. Under mono-culture mode (fungi and microalgae were inoculated separately in the pre - and post-stages) and co-culture mode (fungi and microalgae were inoculated simultaneously in the early stage), microalgae-fungi consortia were then applied for further water purification and resource utilization of kitchen waste liquefied liquid (KWLL) produced in the pretreatment stage. Two kinds of microalgae-fungi consortia (Chlorella sp. HQ and Chlorella sp. MHQ2 form consortia with pellet-forming fungi Aspergillus niger HW8-1, respectively) removed 79.5-83.0 % chemical oxygen demand (COD), 44.0-56.5 % total nitrogen (TN), 90.3-96.4 % total phosphorus (TP), and 64.9-71.0 % NH4+-N of KWLL. What's more, the microalgae-fungi consortia constructed in this study accumulated abundant high-value substances at the same time of efficiently purifying KWLL. Finally, in the biomass harvesting stage, pellet-forming fungi efficiently harvested 81.9-82.1 % of microalgal biomass in a low-cost manner through exopolysaccharides adhesion, surface proteins interaction and charge neutralization. Compared with conventional microalgae-bacteria symbiosis system, the constructed bacteria-microalgae-fungi new-type combined system achieves the triple purpose of efficient purification, resource utilization, and biomass recovery on raw kitchen waste through the trilogy strategy, providing momentous technical references and more treatment systems selection for future kitchen waste treatment.
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Affiliation(s)
- Zeyuan Wang
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-Remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Lihua Li
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-Remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Yu Hong
- Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-Remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China.
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Fan T, Liu X, Sheng H, Ma M, Chen X, Yue Y, Sun J, Kalkhajeh YK. The enhancement effect of n-Fe 3O 4 on methyl orange reduction by nitrogen-fixing bacteria consortium. JOURNAL OF HAZARDOUS MATERIALS 2024; 478:135362. [PMID: 39116744 DOI: 10.1016/j.jhazmat.2024.135362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 07/18/2024] [Accepted: 07/27/2024] [Indexed: 08/10/2024]
Abstract
Although the anaerobic reduction of azo dyes is ecofriendly, high ammonia consumption remains a significant challenge. This work enriched a mixed nitrogen-fixing bacteria consortium (NFBC) using n-Fe3O4 to promote the anaerobic reduction of methyl orange (MO) without exogenous nitrogen. The enriched NFBC was dominated by Klebsiella (80.77 %) and Clostridium (17.16 %), and achieved a 92.7 % reduction of MO with an initial concentration of 25 mg·L-1. Compared with the control, the consortium increased the reduction efficiency of MO, cytochrome c content, and electron transport system (ETS) activity by 11.86 %, 89.86 %, and 58.49 %, respectively. When using 2.5 g·L-1 n-Fe3O4, the extracellular polymeric substances (EPS) of NFBC were present in a concentration of 85.35 mg·g-1. The specific reduction rates of MO by NFBC were 2.26 and 3.30 times faster than those of Fe(II) and Fe(III), respectively, while the enrichment factor of the ribosome pathway in NFBC exceeded 0.75. Transcriptome, carbon consumption, and EPS analyses suggested that n-Fe3O4 stimulated carbon metabolism and secreted protein synthesized by the mixed culture. The latter occurred due to the increased activity of consortium and the content of redox substances. These findings demonstrate that n-Fe3O4 promoted the efficiency of mixed nitrogen-fixing bacteria for removing azo dyes from wastewater. This innovative approach highlights the potential of integrating nanomaterials with biological systems to effectively address complex pollution challenges.
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Affiliation(s)
- Ting Fan
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China.
| | - Xiaoqiang Liu
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China
| | - Huazeyu Sheng
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China
| | - Mengyao Ma
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China
| | - Xingyuan Chen
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China
| | - Yuchen Yue
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China
| | - Jingyi Sun
- Anhui Province Key Lab of Farmland Ecological Conservation and Pollution Prevention, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, PR China
| | - Yusef Kianpoor Kalkhajeh
- Department of Environmental Science, College of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou 325060, PR China
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Zhang Q, Liu H, Liang S, Chen W, Tan S, Yang C, Qin S, Long K. Comparison of moving bed biofilm reactor and bio-contact oxidation reactor start-up with heterotrophic nitrification-aerobic denitrification bacteria and activated sludge inoculation under high ammonia nitrogen conditions. BIORESOURCE TECHNOLOGY 2024; 395:130408. [PMID: 38295957 DOI: 10.1016/j.biortech.2024.130408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/27/2024] [Accepted: 01/28/2024] [Indexed: 02/03/2024]
Abstract
To overcome poor ammonia tolerance and removal performance of bio-contact oxidation (BCO) reactor inoculated with activated sludge for high-ammonia nitrogen (NH4+-N) chemical wastewater treatment, this study compared inoculating heterotrophic nitrification-aerobic denitrification (HN-AD) bacteria in moving bed biofilm reactor (MBBR) with activated sludge inoculation in BCO reactor under simulated high NH4+-N conditions. Results revealed that MBBR achieved faster biofilm formation (20 days vs. 100 days for BCO) with notable advantages: 27.6 % higher total nitrogen (TN) and 29.9 % higher NH4+-N removal efficiency than BCO. Microbial analysis indicated optimal enrichment of the key nitrogen removal (NR) bacterium Alcaligenes, leading to increased expression of NR enzymes hydroxylamine reductase, ensuring the superior NR efficiency of the MBBR. Additionally, functional enzymes and genes analysis speculated that the NR pathway in MBBR was: NH4+-N → NH2OH → NO3--N → NO2--N → NO → N2O → N2. This research offers a practical and theoretical foundation for extending HN-AD bacteria-inoculated MBBR processes.
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Affiliation(s)
- Qian Zhang
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China.
| | - Huan Liu
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
| | - Siyu Liang
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
| | - Wang Chen
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
| | - Senwen Tan
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
| | - Chenxi Yang
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
| | - Shumin Qin
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
| | - Kun Long
- College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China
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5
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He J, Xia S, Li W, Deng J, Lin Q, Zhang L. Resource recovery and valorization of food wastewater for sustainable development: An overview of current approaches. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 347:119118. [PMID: 37769472 DOI: 10.1016/j.jenvman.2023.119118] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/05/2023] [Accepted: 08/30/2023] [Indexed: 09/30/2023]
Abstract
The food processing industry is one of the world's largest consumers of potable water. Agri-food wastewater systems consume about 70% of the world's fresh water and cause at least 80% of deforestation. Food wastewater is characterized by complex composition, a wide range of pollutants, and fluctuating water quality, which can cause huge environmental pollution problems if discharged directly. In recent years, food wastewater has attracted considerable attention as it is considered to have great prospects for resource recovery and reuse due to its rich residues of nutrients and low levels of harmful substances. This review explored and compared the sources and characteristics of different types of food wastewater and methods of wastewater treatment. Particular attention was paid to the different methods of resource recovery and reuse of food wastewater. The diversity of raw materials in the food industry leads to different compositional characteristics of wastewater, which determine the choice and efficiency of wastewater treatment methods. Physicochemical methods, and biological methods alone or in combination have been used for the efficient treatment of food wastewater. Current approaches for recycling and reuse of food wastewater include culture substrates, agricultural irrigation, and bio-organic fertilizers, recovery of high-value products such as proteins, lipids, biopolymers, and bioenergy to alleviate the energy crisis. Food wastewater is a promising substrate for resource recovery and reuse, and its valorization meets the current international policy requirements regarding food waste and environment protection, follows the development trend of the food industry, and is also conducive to energy conservation, emission reduction, and economic development. However, more innovative biotechnologies are necessary to advance the effectiveness of food wastewater treatment and the extent of resource recovery and valorization.
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Affiliation(s)
- JinTao He
- National Engineering Research Center of Rice and Byproduct Deep Processing, Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China
| | - SuXuan Xia
- National Engineering Research Center of Rice and Byproduct Deep Processing, Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China
| | - Wen Li
- National Engineering Research Center of Rice and Byproduct Deep Processing, Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China; Hunan Provincial Engineering Technology Research Center of Seasonings Green Manufacturing, China; College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, 210023, Jiangsu, China.
| | - Jing Deng
- National Engineering Research Center of Rice and Byproduct Deep Processing, Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China
| | - QinLu Lin
- National Engineering Research Center of Rice and Byproduct Deep Processing, Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China; College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, 210023, Jiangsu, China.
| | - Lin Zhang
- National Engineering Research Center of Rice and Byproduct Deep Processing, Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China
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Kiki C, Qin D, Liu L, Qiao M, Adyari B, Ifon BE, Adeoye ABE, Zhu L, Cui L, Sun Q. Unraveling the Role of Microalgae in Mitigating Antibiotics and Antibiotic Resistance Genes in Photogranules Treating Antibiotic Wastewater. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:16940-16952. [PMID: 37886817 DOI: 10.1021/acs.est.3c04798] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Harnessing the potential of specific antibiotic-degrading microalgal strains to optimize microalgal-bacterial granular sludge (MBGS) technology for sustainable antibiotic wastewater treatment and antibiotic resistance genes (ARGs) mitigation is currently limited. This article examined the performance of bacterial granular sludge (BGS) and MBGS (of Haematococcus pluvialis, an antibiotic-degrading microalga) systems in terms of stability, nutrient and antibiotic removal, and fate of ARGs and mobile genetic elements (MGEs) under multiclass antibiotic loads. The systems exhibited excellent performance under none and 50 μg/L mixed antibiotics and a decrease in performance at a higher concentration. The MBGS showed superior potential, higher nutrient removal, 53.9 mg/L/day higher chemical oxygen demand (COD) removal, and 5.2-8.2% improved antibiotic removal, notably for refractory antibiotics, and the system removal capacity was predicted. Metagenomic analysis revealed lower levels of ARGs and MGEs in effluent and biomass of MBGS compared to the BGS bioreactor. Particle association niche and projection pursuit regression models indicated that microalgae in MBGS may limit gene transfers among biomass and effluent, impeding ARG dissemination. Moreover, a discrepancy was found in the bacterial antibiotic-degrading biomarkers of BGS and MBGS systems due to the microalgal effect on the microcommunity. Altogether, these findings deepened our understanding of the microalgae's value in the MBGS system for antibiotic remediation and ARG propagation control.
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Affiliation(s)
- Claude Kiki
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100043, China
- National Institute of Water, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
| | - Dan Qin
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Lin Liu
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Min Qiao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Bob Adyari
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100043, China
| | - Binessi Edouard Ifon
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100043, China
- National Institute of Water, University of Abomey-Calavi, Cotonou 01 BP 526, Benin
| | - Adenike B E Adeoye
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100043, China
| | - Longji Zhu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Li Cui
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Qian Sun
- CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
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Dong X, Huang Z, Peng X, Jia X. Advanced simultaneous nitrogen and phosphorus removal for non-sterile wastewater through a novel coupled yeast-sludge system: Performance, microbial interaction, and mechanism. CHEMOSPHERE 2022; 309:136645. [PMID: 36183892 DOI: 10.1016/j.chemosphere.2022.136645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 09/17/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
A novel coupled yeast-sludge system (CYSS) was constructed by the yeast Candida sp. PNY integrated with activated sludge to treat non-sterile mainstream wastewater. After 240-day cultivation, compared with single activated sludge, simultaneous removal efficiency of total organic carbon (TOC), nitrogen and phosphorus increased by 19.5% (176.34 mg TOC g-1 d-1), 21.3% (11.25 mg TN g-1 d-1) and 15.0% (6.95 mg TP g-1 d-1), respectively, while the amount of sludge reduced by 50%. Amplicon sequencing analysis showed that the abundance of Nitrosomonas, Nitrospira, Zoogloea, Dechloromonas, and Candidatus Accumulibacter significantly decreased to 0% on Day 200. Abundance of nirS and nirK for denitrification significantly decreased in CYSS by quantitative PCR (qPCR), and the copies of nirS and nirK were 3.37-fold and 1.71-fold decrease from Day 0 to Day 240, respectively. The results of Fluorescence in situ hybridization and co-occurrence network showed that Candida sp. PNY predominated its distribution in CYSS, and strongly connected with environmental variables based on network analysis. Furthermore, this study reconstructed the carbon, nitrogen and phosphorus metabolic pathways of the CYSS based on metagenomics.
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Affiliation(s)
- Xiaoqi Dong
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China
| | - Zidan Huang
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China
| | - Xingxing Peng
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China; Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou, 510275, China.
| | - Xiaoshan Jia
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China; Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou, 510275, China
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