Effect of pH, temperature, and oxygenation on arsenic phytofiltration by aquatic moss (Warnstorfia fluitans)

Sandhi, Arifin; Landberg, Tommy; Greger, Maria

doi:10.1016/j.jece.2018.05.044

Cited by 13 publications

(8 citation statements)

References 32 publications

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“…Thus, P. malaianus is considered to have good adsorption ability at neutral pH. Similar results were obtained in coontail ( C. demersum L.) and aquatic moss ( Warnstorfia fluitans ) (Khang et al, 2012; Sandhi et al, 2018).…”

Section: Resultssupporting

confidence: 61%

Simultaneous removal of Cd (II), Ni (II), and Pb (II) from water by a submerged macrophyte pondweed (Potamogeton malaianus)

Lyu

Zhang

et al. 2021

Water Environment Research

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The current work investigated the potential of submerged macrophyte pondweed (Potamogeton malaianus) in treating cadmium, nickel, and lead‐contaminated water through phytoremediation. The adsorption for the three metal ions occurred rapidly within 2 h and attained dynamic equilibrium in no more than 72 h. The removal efficiencies of Cd (II), Ni (II), and Pb (II) were high, passing 94% in both single‐ and multi‐metal systems. The kinetic adsorption curves of Cd (II), Ni (II), and Pb (II) were fitted well by both pseudo‐first‐order and pseudo‐second‐order kinetics (R2 = 0.9875–0.9995). The equilibrium adsorption capacities of Cd (II), Ni (II), and Pb (II) for P. malaianus were 6.29–6.97 mg kg−1. In plants, the higher concentration of each metal ions was accumulated in leaves (12.44–38.15 mg kg−1) than in roots (10.32–26.10 mg kg−1). The chlorophyll contents increased from 0.69 to 0.89–1.00 mg g−1 under the treatment of Cd (II), Ni (II), and Pb (II), whereas the chlorophyll a/b ratio was kept constant. There was no significant difference between single‐ and multi‐metal systems. FT‐IR spectra showed that COH and C═N might be involved in the adsorption of Cd (II), Ni (II), and Pb (II). This study demonstrated that P. malaianus could be a suitable submerged macrophyte for the simultaneous removal of Cd (II), Ni (II), and Pb (II) from water.

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Section: Resultssupporting

confidence: 61%

Simultaneous removal of Cd (II), Ni (II), and Pb (II) from water by a submerged macrophyte pondweed (Potamogeton malaianus)

Lyu

Zhang

et al. 2021

Water Environment Research

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“…Water temperature is another important variable affecting metal and metaloid toxicity. For instance, the bioaccumulation of As in aquatic organisms is doubled at a water temperature of 30 °C, compared to a temperature of 16 °C [ 95 ]. Fish bioaccumulation of As is influenced by salinity and marine fish accumulate higher concentrations as compared to freshwater fish [ 96 ].…”

Section: Resultsmentioning

confidence: 99%

A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

Petrea

Costache²,

Moga

et al. 2020

Molecules

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Metals are considered to be one of the most hazardous substances due to their potential for accumulation, magnification, persistence, and wide distribution in water, sediments, and aquatic organisms. Demersal fish species, such as turbot (Psetta maxima maeotica), are accepted by the scientific communities as suitable bioindicators of heavy metal pollution in the aquatic environment. The present study uses a machine learning approach, which is based on multiple linear and non-linear models, in order to effectively estimate the concentrations of heavy metals in both turbot muscle and liver tissues. For multiple linear regression (MLR) models, the stepwise method was used, while non-linear models were developed by applying random forest (RF) algorithm. The models were based on data that were provided from scientific literature, attributed to 11 heavy metals (As, Ca, Cd, Cu, Fe, K, Mg, Mn, Na, Ni, Zn) from both muscle and liver tissues of turbot exemplars. Significant MLR models were recorded for Ca, Fe, Mg, and Na in muscle tissue and K, Cu, Zn, and Na in turbot liver tissue. The non-linear tree-based RF prediction models (over 70% prediction accuracy) were identified for As, Cd, Cu, K, Mg, and Zn in muscle tissue and As, Ca, Cd, Mg, and Fe in turbot liver tissue. Both machine learning MLR and non-linear tree-based RF prediction models were identified to be suitable for predicting the heavy metal concentration from both turbot muscle and liver tissues. The models can be used for improving the knowledge and economic efficiency of linked heavy metals food safety and environment pollution studies.

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“…The aquatic moss Warnstorfia fluitans can filtrate As(V) and As(III) from As-contaminated-water (Sandhi et al 2018 ). Arsenic removal was faster in arsenite than arsenate solutions, optimum (80–90% within 2 h) being at pH 6.5 and 9.5 and at 20 and 30 °C, and at low oxygenation levels.…”

Section: Phytoremediation Of As-contaminated Soilsmentioning

confidence: 99%

“…In several Chinese provinces, As-contaminated farmland impairs rice production (Li et al 2019b ). Irrigation of agricultural soils with As-rich water may contribute to As accumulation in soil and crops, and its entry into the food chain (Sandhi et al 2018 ).…”

Section: Introductionmentioning

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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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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Effect of pH, temperature, and oxygenation on arsenic phytofiltration by aquatic moss (Warnstorfia fluitans)

Cited by 13 publications

References 32 publications

Simultaneous removal of Cd (II), Ni (II), and Pb (II) from water by a submerged macrophyte pondweed (Potamogeton malaianus)

Simultaneous removal of Cd (II), Ni (II), and Pb (II) from water by a submerged macrophyte pondweed (Potamogeton malaianus)

A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues

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

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