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Jiang L, Tang Y, Lu Y, Chen X, Wu X, Luo P, Shiels HA. In situ phytoextraction of Mn and NH 4+-N from aqueous electrolytic manganese residue solution by Pistia stratiotes: Effects of Fe/Co presence and rhizospheric microbe synergistic involvement. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124177. [PMID: 38763295 DOI: 10.1016/j.envpol.2024.124177] [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: 01/12/2024] [Revised: 04/14/2024] [Accepted: 05/16/2024] [Indexed: 05/21/2024]
Abstract
The electrolytic manganese industry produces a large amount of electrolytic manganese residue (EMR). Soluble Mn, NH4+-N, and other pollutants may be released from the open-air stacked EMR and transported to the environment along with rainfall or surface runoff. Aqueous EMR solution (AES) generally contains various elements required for plant growth, and phytoremediation can be applied to remove these pollutants from AES. Since the contents of Fe and Co vary greatly in AES depending on the ore sources as well as the pre-treatment processes, the presence of bioavailable Fe and Co at different levels may affect plant growth, the rhizosphere microbes, and pollutant removal. The present study investigated the in-situ removal of Mn(II) and NH4+-N from AES solution using free floating aquatic plant Pistia stratiotes, focusing especially on the effects of Fe/Co presence and rhizospheric microbe synergistic involvement on contaminant removal. The results showed that 69.08% of Mn and 94.99% of NH4+-N were removed by P. stratiotes in 24 d. Both the presence of Fe(II) and Co(II) facilitated the Mn(II) immobilization and increased Mn(II) removal by 19-31% due to the enhanced peroxidase activity and the increased Mn accumulating in roots The complete removal of Mn from AES was found in the presence of Fe(II) at 2 mg L-1 or Co(II) at 0.5 mg L-1 and more than 51% accumulated Mn in the roots was stored in the vacuole and cytoplasm. BioMnOx was found on the surface of the roots, revealing that rhizofiltration, rhizospheric plaque/biofilm formation, and Mn biogeochemical cycle exert synergic effects on Mn(II) immobilization. The findings of the present study demonstrate the feasibility of using P. stratiotes in the treatment of aqueous EMR solutions and the presence of an appropriate amount of bio-available Fe and Co can promote the removal of Mn(II) and NH4+-N.
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Affiliation(s)
- Lu Jiang
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials & MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Key Laboratory of Environmental Protection, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Guangxi University, Nanning, 530004, China
| | - Yankui Tang
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials & MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Key Laboratory of Environmental Protection, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Guangxi University, Nanning, 530004, China.
| | - Yanyi Lu
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials & MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Key Laboratory of Environmental Protection, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Guangxi University, Nanning, 530004, China
| | - Xinyu Chen
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials & MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Key Laboratory of Environmental Protection, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Guangxi University, Nanning, 530004, China
| | - Xinying Wu
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials & MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Key Laboratory of Environmental Protection, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Guangxi University, Nanning, 530004, China
| | - Penghong Luo
- School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials & MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning, 530004, China; Key Laboratory of Environmental Protection, Education Department of Guangxi Zhuang Autonomous Region, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Guangxi University, Nanning, 530004, China
| | - Holly Alice Shiels
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, M13 9PL, United Kingdom
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Chee SY, Tan ML, Tew YL, Sim YK, Yee JC, Chong AKM. Between the devil and the deep blue sea: Trends, drivers, and impacts of coastal reclamation in Malaysia and way forward. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159889. [PMID: 36328260 DOI: 10.1016/j.scitotenv.2022.159889] [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: 05/29/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
Cities all over the world are edging further into the ocean. Coastal reclamation is a global conservation issue with implications for ocean life, ecosystems, and human well-being. Using Malaysia as a case study, the coastal reclamation trends over three decades (1991-2021) were mapped using Landsat images and Normalized Difference Water Index (NDWI) via the Google Earth Engine platform. The changes in drivers and impacts of these coastal expansions throughout the decades were also reviewed. Twelve out of the 14 states in Malaysia had planned, active, or completed reclamations on their shorelines. Between 1991 and 2021, an absolute area of 82.64 km2 has been or will be reclaimed should all the projects be completed. The most reported driver for coastal expansion in Malaysia is for development and modernization (41 %), followed by rise in human population (20 %), monetary gains from the development of prime land (15 %), and agriculture and aquaculture activities (9 %). Drivers such as reduction of construction costs, financial advantage of prime land, oil and gas, advancement of technology, and tourism (Malaysia My Second Home (MM2H)) had only started occurring within the last decade, while others have been documented since the 1990's. Pollution is the most reported impact (24 %) followed by disruption of livelihoods, sources of income and human well-being (21 %), destruction of natural habitats (17 %), decrease in biodiversity (11 %), changes in landscapes (10 %), erosion / accretion (8 %), threat to tourism industry (6 %), and exposure to wave surges (3 %). Of these, changes in landscape, shoreline alignment, seabed contour, and coastal groundwater, as well as wave surges had only started to surface as impacts in the last two decades. Efforts to protect existing natural coastal and marine ecosystems, restore degraded ones, and fund endeavours that emphasize nature is needed to support sustainable development goals for the benefit of future generations.
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Affiliation(s)
- Su Yin Chee
- Centre for Global Sustainability Studies, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia.
| | - Mou Leong Tan
- GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
| | - Yi Lin Tew
- GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
| | - Yee Kwang Sim
- Centre for Marine and Coastal Studies, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
| | - Jean Chai Yee
- Centre for Global Sustainability Studies, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
| | - Amanda Kar Mun Chong
- Centre for Global Sustainability Studies, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
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Feng Z, Xu C, Zuo Y, Luo X, Wang L, Chen H, Xie X, Yan D, Liang T. Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression. ENVIRONMENTAL RESEARCH 2023; 216:114587. [PMID: 36270529 DOI: 10.1016/j.envres.2022.114587] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/29/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Natural vegetation has been proved to promote water purification in previous studies, while the relevant laws has not been excavated systematically. This research explored the relationships between vegetation cover and water quality indexes in Liaohe River Basin in China combined with self-organizing map (SOM) and geographically and temporally weighted regression (GTWR) innovatively and systematically based on the distributing heterogeneity of water quality conditions. Results showed that the central and northeast regions of the study area had serious organic and nutrient pollution, which needed targeted treatment. And SOM verified that high vegetation coverage with retention potential of organic and inorganic pollutants as well as nutrients improved water quality to some degree, while the excessive discharges of pollutants still had serious threats to nearby water environment despite the purification function of vegetation. GTWR indicated that the waterside vegetation was beneficial for dissolved oxygen increasing and contributed to the decreasing of organic pollutants and inorganic pollutants with reducibility. Natural vegetation also obsorbed nutrients like TN and TP to some degree. However, the retential potential of nitrogen and organic pollutants became not obvious when there were heavy pollution, which demonstrated that pollution sources should be controlled despite the purification function of vegetation. This study implied that natural vegetation purified water quality to some degree, while this function could not be revealed when there was too heavy pollution. These findings underscore that the pollutant discharge should be controlled though the natural vegetation in ecosystem promoted the purification of water bodies.
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Affiliation(s)
- Zhaohui Feng
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chengjian Xu
- Changjiang Institute of Survey, Planning, Design and Research Co., Ltd, Wuhan 430010, China; Hubei Provincial Engineering Research Center for Comprehensive Water Environment Treatment in the Yangtze River Basin, Wuhan, 430010, China
| | - Yiping Zuo
- Foreign Environmental Cooperation Center, Ministry of Ecology and Environment, Beijing 100035, China
| | - Xi Luo
- Changjiang Institute of Survey, Planning, Design and Research Co., Ltd, Wuhan 430010, China; Hubei Key Laboratory of Basin Water Security, Wuhan 430010, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Hao Chen
- Changjiang Institute of Survey, Planning, Design and Research Co., Ltd, Wuhan 430010, China; Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resources, Beijing 100053, China
| | - Xiaojing Xie
- Changjiang Institute of Survey, Planning, Design and Research Co., Ltd, Wuhan 430010, China; Hubei Provincial Engineering Research Center for Comprehensive Water Environment Treatment in the Yangtze River Basin, Wuhan, 430010, China
| | - Dan Yan
- Changjiang Institute of Survey, Planning, Design and Research Co., Ltd, Wuhan 430010, China; Hubei Provincial Engineering Research Center for Comprehensive Water Environment Treatment in the Yangtze River Basin, Wuhan, 430010, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
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Chakdar H, Thapa S, Srivastava A, Shukla P. Genomic and proteomic insights into the heavy metal bioremediation by cyanobacteria. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127609. [PMID: 34772552 DOI: 10.1016/j.jhazmat.2021.127609] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/16/2021] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
Heavy metals (HMs) pose a global ecological threat due to their toxic effects on aquatic and terrestrial life. Effective remediation of HMs from the environment can help to restore soil's fertility and ecological vigor, one of the key Sustainable Development Goals (SDG) set by the United Nations. The cyanobacteria have emerged as a potential option for bioremediation of HMs due to their unique adaptations and robust metabolic machineries. Generally, cyanobacteria deploy multifarious mechanisms such as biosorption, bioaccumulation, activation of metal transporters, biotransformation and induction of detoxifying enzymes to sequester and minimize the toxic effects of heavy metals. Therefore, understanding the physiological responses and regulation of adaptation mechanisms at molecular level is necessary to unravel the candidate genes and proteins which can be manipulated to improve the bioremediation efficiency of cyanobacteria. Chaperons, cellular metabolites (extracellular polymers, biosurfactants), transcriptional regulators, metal transporters, phytochelatins and metallothioneins are some of the potential targets for strain engineering. In the present review, we have discussed the potential of cyanobacteria for HM bioremediation and provided a deeper insight into their genomic and proteomic regulation of various tolerance mechanisms. These approaches might pave new possibilities of implementing genetic engineering strategies for improving bioremediation efficiency with a future perspective.
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Affiliation(s)
- Hillol Chakdar
- Microbial Technology Unit II, ICAR-National Bureau of Agriculturally Important Microorganisms (NBAIM), Mau 275103, Uttar Pradesh, India
| | - Shobit Thapa
- Microbial Technology Unit II, ICAR-National Bureau of Agriculturally Important Microorganisms (NBAIM), Mau 275103, Uttar Pradesh, India
| | - Amit Srivastava
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, ID 47907-2048, United States
| | - Pratyoosh Shukla
- School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India; Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak 124001, Haryana, India.
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