Development of a bio-physicochemical technique for arsenic removal from groundwater

Hassan, Khondoker Mahbub; Fukuhara, Teruyuki; Hai, Faisal I.; Bari, Quazi Hamidul; Islam, Kh. Md. Shafiul

doi:10.1016/j.desal.2008.08.015

Cited by 25 publications

(9 citation statements)

References 10 publications

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“…A fixed bed up-flow filtration unit allowing for the simultaneous biotic oxidation and removal of As(III) and Fe(II)/Mn(II) has been developed and tested in several studies (Hassan et al 2009 ; Katsoyiannis and Zouboulis 2004 ; Katsoyiannis et al 2004 ; Tani et al 2004 ). Few investigations have combined biological As(III) oxidation with the use of activated alumina and metallic Fe adsorbents to remove As (Ike et al 2008 ; Wan et al 2010 ).…”

Section: Arsenic Microbial Metabolisms and Bioremediationmentioning

confidence: 99%

“…Due to the formation of an EPS matrix, the biofilm may act as a physical barrier for several particles, cations, anions and apolar compounds occurring in the water (Flemming and Wingender 2010 ; Michel et al 2007 ). The application of As(III) oxidising biofilms in combination with Fe- and Fe-/Mn-oxidation processes may increase the efficiency of simultaneous As-, Fe-, and Mn- removal from groundwater (Casiot et al 2006 ; Hassan et al 2009 ; Katsoyiannis and Zouboulis 2004 ; Katsoyiannis et al 2004 , 2007 ; Tani et al 2004 ). Moreover, the As(III)-oxidising biofilters have high potentialities in the treatment of As-contaminated groundwater (Crognale et al 2019 ; Gude et al 2018 ; Li et al 2016 ; Yang et al 2014 ).…”

Section: Arsenic Microbial Metabolisms and Bioremediationmentioning

confidence: 99%

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Water and soil contaminated by arsenic: the use of microorganisms and plants in bioremediation

Bertin

Crognale

Plewniak

et al. 2021

Environ Sci Pollut Res

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Owing to their roles in the arsenic (As) biogeochemical cycle, microorganisms and plants offer significant potential for developing innovative biotechnological applications able to remediate As pollutions. This possible use in bioremediation processes and phytomanagement is based on their ability to catalyse various biotransformation reactions leading to, e.g. the precipitation, dissolution, and sequestration of As, stabilisation in the root zone and shoot As removal. On the one hand, genomic studies of microorganisms and their communities are useful in understanding their metabolic activities and their interaction with As. On the other hand, our knowledge of molecular mechanisms and fate of As in plants has been improved by laboratory and field experiments. Such studies pave new avenues for developing environmentally friendly bioprocessing options targeting As, which worldwide represents a major risk to many ecosystems and human health.

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Section: Arsenic Microbial Metabolisms and Bioremediationmentioning

confidence: 99%

Section: Arsenic Microbial Metabolisms and Bioremediationmentioning

confidence: 99%

Water and soil contaminated by arsenic: the use of microorganisms and plants in bioremediation

Bertin

Crognale

Plewniak

et al. 2021

Environ Sci Pollut Res

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“…The role of source water chemistry and, in particular, the ratios of Fe/As and Fe/P in the removal efficiency of As have been reported previously [6,20,21]. In groundwater containing low dissolved oxygen (DO) and Eh, as has commonly been observed in Bangladesh, Fe and As exist predominantly in their reduced states as Fe(II) and As(III), respectively [21,22].…”

Section: Introductionmentioning

confidence: 90%

Artificial Intelligence Modelling to Support the Groundwater Chemistry-Dependent Selection of Groundwater Arsenic Remediation Approaches in Bangladesh

Wu,

Richards,

Roshan

et al. 2023

Water

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Groundwater arsenic (As) still poses a massive public health threat, especially in South Asia, including Bangladesh. The arsenic removal efficiency of various technologies may be strongly dependent on groundwater composition. Previously, others have reported that the molar ratio [Fe]−1.8[P][As], in particular, can usefully predict the potential efficiency of groundwater As removal by widespread sorption/co-precipitation-based remediation systems. Here, we innovatively extended the application of artificial intelligence (AI) machine learning models to predict the geospatial distribution of [Fe]−1.8[P][As] in Bangladesh groundwaters utilizing our analogous AI predictions for groundwater As, Fe, and P. A comparison between the predicted geospatial distribution of groundwater As and [Fe]−1.8[P][As] distinguished high groundwater As areas where (a) sorption/co-precipitation remediation technologies would have the potential to be highly effective in removing As without Fe amendment, as well as from those areas where (b) amendment with Fe (e.g., zero-valent Fe) would be required to promote efficient As removal. The 1 km2 scale of the prediction maps provided a 100-fold improvement in the granularity of previous district-scale non-AI models. AI approaches have the potential to contribute to informing the appropriate selection and amendment of appropriate groundwater contamination remediation strategies where their effectiveness depends on local groundwater chemistry.

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“…It is known that high concentration of As in groundwater is often associated with high concentrations of Fe and Mn, thus the simultaneous removal of As, Fe and Mn by biological filtration is applicable. A number of studies using biological filtration for the simultaneous removal of As and Fe (Katsoyiannis and Zouboulis, 2004;Casiot et al, 2006;Hassan et al, 2009;Pokhrel and Viraraghavan, 2009), or the simultaneous removal of As, Fe and Mn (Katsoyiannis and Zouboulis, 2006;Sugahara et al, 2008) exhibited effective removal of As from the water. However, composition and function of the microbial community in the biological filtration systems had not been studied in detail.…”

Section: Introductionmentioning

confidence: 99%

Bacterial Diversity in Biological Filtration System for the Simultaneous Removal of Arsenic, Iron and Manganese from Groundwater

Chhetri

Suzuki

Fujita

et al. 2014

J. of Wat. ^|^ Envir. Tech.

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Bacterial diversity of the microbial consortia in a biological filtration pilot plant for the simultaneous removal of arsenic (As), iron (Fe) and manganese (Mn) from groundwater was analyzed. PCR-based denaturing gradient gel electrophoresis (DGGE) of bacterial 16S ribosomal RNA (rRNA) genes represented at least 6 dominant signals and many weak signals. Phylogenetic analysis using the nucleotide sequences of the 16S rRNA gene clone library constructed from the pilot plant sample showed the presence of the bacteria closely related to Gallionella and Leptothrix, which are supposed to be involved in the production of Fe and Mn oxides utilized for adsorbents of As in this system. On the other hand, aoxB gene was not detected, suggesting that arsenite-oxidizing bacterium would not be involved in the As removal of the pilot plant. These results indicated that the simultaneous removal of As, Fe and Mn from groundwater was conducted by the physicochemical sorption of As by the biogenic Fe and Mn oxides produced by the bacteria closely related to Gallionella and Leptothrix included in the microbial consortia of the pilot plant.

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Development of a bio-physicochemical technique for arsenic removal from groundwater

Cited by 25 publications

References 10 publications

Water and soil contaminated by arsenic: the use of microorganisms and plants in bioremediation

Water and soil contaminated by arsenic: the use of microorganisms and plants in bioremediation

Artificial Intelligence Modelling to Support the Groundwater Chemistry-Dependent Selection of Groundwater Arsenic Remediation Approaches in Bangladesh

Bacterial Diversity in Biological Filtration System for the Simultaneous Removal of Arsenic, Iron and Manganese from Groundwater

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