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Liu Q, Dai H, Song Y, Li H. Magnetite enhances As immobilization during nitrate reduction and Fe(II) oxidation by Acidovorax sp. strain BoFeN1. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:173946. [PMID: 38909815 DOI: 10.1016/j.scitotenv.2024.173946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/04/2024] [Accepted: 06/10/2024] [Indexed: 06/25/2024]
Abstract
Arsenic (As) cycling in groundwater is commonly coupled to the biogeochemical cycling of iron (Fe) and the associated transformation of Fe minerals present. Numerous laboratory studies suggested that Fe minerals can act as nucleation sites for further crystal growth and as catalysts for abiotic Fe(II) oxidation. In view of the widespread existence of magnetite in anoxic environments where As is often dissolved, we firstly exploited magnetite to enhance As immobilization during nitrate-reducing Fe(II) oxidation (NRFO) induced by Acidovorax sp. strain BoFeN1, a mixotrophic nitrate-reducing Fe(II)-oxidizing bacterium that can oxidize Fe(II) through both enzymatic and abiotic pathways. Subsequently, we investigated how magnetite affects NRFO and As immobilization. Results demonstrated a significant increase in As(III) removal efficiency from 75.4 % to 97.2 % with magnetite, attributed to the higher amount of NRFO and As(III) oxidation promoted by magnetite. It was found that magnetite stimulated the production of extracellular polymeric substances (EPS), which could decrease the diffusion of nitrate in the periplasm of bacteria and shield them against encrustation, resulting in a more rapid reduction of nitrate in the system with magnetite than that without magnetite. Meanwhile, Fe(II) was almost completely oxidized in the presence of magnetite during the whole 72 h experiment, while in the absence of magnetite, 47.7 % of Fe(II) remained, indicating that magnetite could obviously accelerate the chemical oxidation of Fe(II) with nitrite (the intermediates of nitrate bioreduction). Furthermore, the formation of labile Fe(III), an intermediate product of electron transfer between Fe(II) and magnetite, was reasonably deduced to be vital for anoxic As(III) oxidation. Additionally, the XPS analysis of the solid phase confirmed the oxidation of 43.8 % of As(III) to As(V). This study helps to understand the biogeochemical cycling of Fe and As in the environment, and provides a cost-effective and environmentally friendly option for in situ remediation of As-contaminated groundwater.
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Affiliation(s)
- Qianwen Liu
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR China
| | - Huiqian Dai
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR China
| | - Yang Song
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR China
| | - Haipu Li
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China; Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Changsha 410083, PR China.
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Zhang L, Li W, Li J, Wang Y, Xie H, Zhao W. A novel iron-mediated nitrogen removal technology of ammonium oxidation coupled to nitrate/nitrite reduction: Recent advances. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 319:115779. [PMID: 35982573 DOI: 10.1016/j.jenvman.2022.115779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/15/2022] [Accepted: 07/15/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Lihong Zhang
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China; Gansu Membrane Science and Technology Research Institute Co.,Ltd., Lanzhou, 730020, People's Republic of China; Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Lanzhou, 730020, People's Republic of China
| | - Wenxuan Li
- NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01 T-Lab Building, Singapore, 117411, Singapore
| | - Jie Li
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China.
| | - Ya'e Wang
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China
| | - Huina Xie
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China
| | - Wei Zhao
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China
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Zounemat-Kermani M, Alizamir M, Keshtegar B, Batelaan O, Hinkelmann R. Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based models. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:20556-20570. [PMID: 34739667 DOI: 10.1007/s11356-021-16916-6] [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: 03/23/2021] [Accepted: 10/03/2021] [Indexed: 06/13/2023]
Abstract
This study evaluates the potential of kriging-based (kriging and kriging-logistic) and machine learning models (MARS, GBRT, and ANN) in predicting the effluent arsenic concentration of a wastewater treatment plant. Two distinct input combination scenarios were established, using seven quantitative and qualitative independent influent variables. In the first scenario, all of the seven independent variables were taken into account for constructing the data-driven models. For the second input scenario, the forward selection k-fold cross-validation method was employed to select effective explanatory influent parameters. The results obtained from both input scenarios show that the kriging-logistic and machine learning models are effective and robust. However, using the feature selection procedure in the second scenario not only made the architecture of the model simpler and more effective, but also enhanced the performance of the developed models (e.g., around 7.8% performance enhancement of the RMSE). Although the standard kriging method provided the least good predictive results (RMSE = 0.18 ug/l and NSE=0.75), it was revealed that the kriging-logistic method gave the best performance among the applied models (RMSE = 0.11 ug/l and NSE=0.90).
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Affiliation(s)
- Mohammad Zounemat-Kermani
- Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
- Center of Excellence in Hydroinformatics, University of Tabriz, 29 Bahman Ave, Tabriz, Iran.
| | - Meysam Alizamir
- Department of Civil Engineering, Hamedan branch, Islamic Azad University, Hamedan, Iran
| | - Behrooz Keshtegar
- Department of Civil Engineering, Faculty of Engineering, University of Zabol, P.B. 9861335-856, Zabol, Iran
| | - Okke Batelaan
- National Centre for Groundwater Research and Training, College of Science and Engineering, Flinders University, Adelaide, Australia
| | - Reinhard Hinkelmann
- Chair of Water Resources Management and Modeling of Hydrosystems, Technische Universität Berlin, Berlin, Germany
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Wu D, Sun Y, Wang L, Zhang Z, Gui J, Ding A. Modification of NaY zeolite by lanthanum and hexadecyl trimethyl ammonium bromide and its removal performance for nitrate. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2020; 92:987-996. [PMID: 31833589 DOI: 10.1002/wer.1285] [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: 08/21/2019] [Revised: 11/25/2019] [Accepted: 12/05/2019] [Indexed: 06/10/2023]
Abstract
Nitrate in the effluent of wastewater treatment plants (WWTPs) is the main nitrogen resource in natural water. The excessive nitrogen in natural water causes ecological issues such as aqueous eutrophication. A novel modified NaY zeolite (SMZ-La) with hexadecyl trimethyl ammonium bromide (HDTMA) and lanthanum (La) as modifying agents for NO 3 - -N adsorption was investigated in this study. Results showed that SMZ-La had a higher adsorption capacity (3.82 mg NO 3 - -N/g) than zeolite only modified with HDTMA or La (2.75 and 2.23 mg NO 3 - -N/g, respectively). Moreover, the adsorption process was endothermic with a maximum theoretic adsorption of 14.49 mg NO 3 - -N/g. X-ray photoelectron spectroscopy (XPS) analysis indicated that adsorption rate principally depended on chemisorption between SMZ and NO 3 - -N. Thermogravimetric analysis showed that HDTMA was loaded on the surface of NaY zeolite with double layer. Scanning electron microscope and X-ray spectroscopy analysis illustrated that La was primarily loaded in the pore of NaY zeolite, and the loading of HDTMA and La did not affect the original crystal structure of NaY zeolite. The novel adsorbent provided a promising perspective for nitrogen control in WWTPs and natural water. PRACTITIONER POINTS: A novel modified zeolite (SMZ-La) was prepared successfully with HDTMA and La. SMZ-La had an excellent adsorption capacity compared to SMZ and NaY-La. There were both physical and chemical adsorptions in the adsorption process of SMZ-La on NO 3 - -N.
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Affiliation(s)
- Donglei Wu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Yue Sun
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Linlin Wang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Zhiming Zhang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Jiaxi Gui
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Aqiang Ding
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
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Qu C, Chen W, Hu X, Cai P, Chen C, Yu XY, Huang Q. Heavy metal behaviour at mineral-organo interfaces: Mechanisms, modelling and influence factors. ENVIRONMENT INTERNATIONAL 2019; 131:104995. [PMID: 31326822 DOI: 10.1016/j.envint.2019.104995] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 06/16/2019] [Accepted: 07/04/2019] [Indexed: 05/24/2023]
Abstract
The mineral-organo composites control the speciation, mobility and bioavailability of heavy metals in soils and sediments by surface adsorption and precipitation. The dynamic changes of soil mineral, organic matter and their associations under redox, aging and microbial activities further complicate the fate of heavy metals. Over the past decades, the wide application of advanced instrumental techniques and modelling has largely extended our understanding on heavy metal behavior within mineral-organo assemblages. In this review, we provide a comprehensive summary of recent progress on heavy metal immobilization by mineral-humic and mineral-microbial composites, with a special focus on the interfacial reaction mechanisms of heavy metal adsorption. The impacts of redox and aging conditions on heavy metal speciations and associations with mineral-organo complexes are discussed. The modelling of heavy metals adsorption and desorption onto synthetic mineral-organo composites and natural soils and sediments are also critically reviewed. Future challenges and prospects in the mineral-organo interface are outlined. More in-depth investigations are warranted, especially on the function and contribution of microorganisms in the immobilization of heavy metals at the complex mineral-organo interface. It has become imperative to use the state-of-the-art methodologies to characterize the interface and develop in situ analytical techniques in future studies.
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Affiliation(s)
- Chenchen Qu
- State Key Laboratory of Agricultural Microbiology, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenli Chen
- State Key Laboratory of Agricultural Microbiology, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China.
| | - Xiping Hu
- State Key Laboratory of Agricultural Microbiology, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, Huazhong Agricultural University, Wuhan 430070, China
| | - Peng Cai
- State Key Laboratory of Agricultural Microbiology, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, Huazhong Agricultural University, Wuhan 430070, China
| | - Chengrong Chen
- School of Environment and Sciences, Griffith University, Brisbane, QLD 4111, Australia
| | - Xiao-Ying Yu
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Qiaoyun Huang
- State Key Laboratory of Agricultural Microbiology, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Soil Environment and Pollution Remediation, Huazhong Agricultural University, Wuhan 430070, China.
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Akbari A, Derakhshesh M, Abrishami ME. Nitrate ion effect on gold nanorods plasmon resonance behavior: A potential chemical sensor. INORG CHEM COMMUN 2018. [DOI: 10.1016/j.inoche.2018.10.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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