Effects of rice straw on the speciation of cadmium (Cd) and copper (Cu) in soils

Cui, Yanshan; Du, Xin; Weng, Liping; Zhu, Yan

doi:10.1016/j.geoderma.2008.06.010

Cited by 61 publications

(18 citation statements)

References 48 publications

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“…5, an apparent, though statistically insignificant, increase of copper concentrations was observed after 30 days of incubation. Similar observations were also reported by several other authors, but the mechanisms involved in such an effect remain unclear and need further investigation [22][23].…”

Section: Resultssupporting

confidence: 88%

Would Forest Litter Cause a Risk of Increased Copper Solubility and Toxicity in Polluted Soils Remediated via Phytostabilization?

Cuske

Karczewska

Gałka

et al. 2017

Pol. J. Environ. Stud.

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Soil solutions were collected from soils contaminated differently by the emissions from a copper smelter and incubated with beech litter. Five times in 30 days of incubation, soil solutions were acquired with MacroRhizon samplers and examined using the chemometric approach and two ecotoxicological assays: Microtox with Vibrio fischeri bacteria and Phytotoxkit with Sinapis alba seeds. Copper speciation in soil solutions was modeled in the MinteQ program. Application of beech litter to soils resulted in a considerable increase of copper solubility. The toxicity of soil solutions was associated with total copper concentrations in solutions, copper speciation, and pH values. The toxicity measured by the Phytotoxkit test in soil solutions collected from non-amended soils was higher than that measured in Microtox, and was attributed to high concentrations of copper organic complexes in solutions. The application of beech litter, rich in dissolved organic carbon DOC, resulted in a radical increase of soil solution toxicity to both indicating organisms. This effect, particularly well expressed in the case of V. fischeri, was apparently caused by a decrease in pH and associated increase of total Cu concentrations in solutions.

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Section: Resultssupporting

confidence: 88%

Would Forest Litter Cause a Risk of Increased Copper Solubility and Toxicity in Polluted Soils Remediated via Phytostabilization?

Cuske

Karczewska

Gałka

et al. 2017

Pol. J. Environ. Stud.

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“…There are many possibly effects that could control the value of this percentage (Cancès et al 2003;Krishnamurti and Naidu 2002;Ma et al 2006). Soil pH and soil dissolved organic matter (DOM) were major factors controlling the speciation of metals, and metals were often found as soluble complexes with DOM at high pH and large OM content (Cui et al 2008;Weng et al 2002). It was demonstrated that some metals, for example Cu, were almost exclusively present in organically complexed form in soil solutions in neutral and mildly acidic soils (pH\7.0) (Krishnamurti and Naidu 2002).…”

Section: Resultsmentioning

confidence: 99%

Soil heavy-metal speciation and wheat phytotoxicity in the vicinity of an abandoned lead–zinc mine in Shangyu City, eastern China

Cui

2010

Environ Earth Sci

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Sixteen soil samples were collected from the vicinity of an abandoned lead-zinc mine in Shangyu City, eastern China, and the heavy-metal speciation and wheat phytotoxicity in the soils were studied. The results showed that the concentrations of free Cu 2? , Zn 2? , Cd 2? and Pb 2? were highly variable and ranged from\0.01 to 0.32, 0.06 to 10.62, \0.01 to 1.40 and 0.02 to 37.10 lmol l -1 , respectively. The concentrations of soluble Cu, Zn, Cd and Pb ranged from 0.38 to 3.24, 0.72 to 78.74, \0.01 to 1.95 and 0.15 to 639.34 lmol l -1 , respectively. The general trend of mean solid/liquid partition coefficient and percentage of free metal ion to total soluble metal concentration were Cu [ Pb [ Zn [ Cd and Cd [ Zn [ Cu [ Pb, respectively. Stepwise multiple linear regression with pH, log(total metal) and log(organic matter) showed that log(total metal) was an important factor that controlled log(free metal ion) and log(soluble metal). Of the variability in log(free Cu 2? ), log(free Cd 2? ) and log(free Pb 2? ), 55.2, 58.6 and 64.3% could be explained by log(total Cu), log(total Cd) and log(total Pb) alone, respectively. Of the variability in log(soluble Cu) and log(soluble Cd), 77.1 and 72.5% could be explained by log(total Cu) and log(total Cd) alone, respectively. Wheat root length was controlled by the various metals with different free and soluble concentrations, and 99.2% of the variability in root length could be explained by concentrations of free and soluble Pb, soluble Cu and total Zn in the soils.

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“…Biosorbent dose and Cd 2? concentration were chosen based on literature survey (Cui et al 2008;Rocha et al 2009;Ding et al 2012). However, values of pH were selected at 2 to simulate heavily polluted wastewater and pH 7 for studying wastewater under normal environmental conditions.…”

Section: Methodsmentioning

confidence: 99%

“…has been recognized as one of the most toxic, teratogenic and carcinogenic species (Cui et al 2008). The major sources of Cd 2?…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence modeling of cadmium(II) biosorption using rice straw

et al. 2015

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The biosorption efficiency of Cd 2? using rice straw was investigated at room temperature (25 ± 4°C), contact time (2 h) and agitation rate (5 Hz). Experiments studied the effect of three factors, biosorbent dose BD (0.1 and 0.5 g/L), pH (2 and 7) and initial Cd 2? concentration X (10 and 100 mg/L) at two levels ''low'' and ''high''. Results showed that, a variation in X from high to low revealed 31 % increase in the Cd 2? biosorption. However, a discrepancy in pH and BD from low to high achieved 28.60 and 23.61 % increase in the removal of Cd 2? , respectively. From 2 3 factorial design, the effects of BD, pH and X achieved p value equals to 0.2248, 0.1881 and 0.1742, respectively, indicating that the influences are in the order X [ pH [ BD. Similarly, an adaptive neurofuzzy inference system indicated that X is the most influential with training and checking errors of 10.87 and 17.94, respectively. This trend was followed by ''pH'' with training error (15.80) and checking error (17.39), after that BD with training error (16.09) and checking error (16.29). A feed-forward back-propagation neural network with a configuration 3-6-1 achieved correlation (R) of 0.99 (training), 0.82 (validation) and 0.97 (testing). Thus, the proposed network is capable of predicting Cd 2? biosorption with high accuracy, while the most significant variable was X.

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Effects of rice straw on the speciation of cadmium (Cd) and copper (Cu) in soils

Cited by 61 publications

References 48 publications

Would Forest Litter Cause a Risk of Increased Copper Solubility and Toxicity in Polluted Soils Remediated via Phytostabilization?

Would Forest Litter Cause a Risk of Increased Copper Solubility and Toxicity in Polluted Soils Remediated via Phytostabilization?

Soil heavy-metal speciation and wheat phytotoxicity in the vicinity of an abandoned lead–zinc mine in Shangyu City, eastern China

Artificial intelligence modeling of cadmium(II) biosorption using rice straw

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