Effects of Dissolved Organic Matter and pH on Heavy Metal Uptake by Sludge Particulates Exemplified by Copper(II) and Nickel(II): Three‐Variable Model

Wang, Jianmin; Huang, C. P.; Allen, Herbert E.; Poesponegoro, Ira; Poesponegoro, Haryanto; Takiyama, Luís Roberto

doi:10.2175/106143099x121517

Cited by 54 publications

(26 citation statements)

References 7 publications

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“…For instances, dissolved soil organic matter is one of important factors affecting heavy metal uptake by sludge particulates, [21] and the level of heavy metal concentration depends on the exchange capacity of the soil, which is largely related to clay and organic matter content. [22] Therefore, it is reasonable to observe the significantly positive relations of soil organic matter against Pb, Cu and Zn concentrations in this study.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of estimating heavy metal contaminations in floodplain soils using laboratory-based hyperspectral data—A case study along Le’an River, China

Liu

et al. 2011

Geo-spatial Information Science

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It is necessary to estimate heavy metal concentrations within soils for understanding heavy metal contaminations and for keeping the sustainable developments of ecosystems. This study, with the floodplain along Le'an River and its two branches in Jiangxi Province of China as a case study, aimed to explore the feasibility of estimating concentrations of heavy metal lead (Pb), copper (Cu) and zinc (Zn) within soils using laboratory-based hyperspectral data. Thirty soil samples were collected, and their hyperspectral data, soil organic matters and Pb, Cu and Zn concentrations were measured in the laboratory. The potential relations among hyperspectral data, soil organic matter and Pb, Cu and Zn concentrations were explored and further used to estimate Pb, Cu and Zn concentrations from hyperspectral data with soil organic matter as a bridge. The results showed that the ratio of the first-order derivatives of spectral absorbance at wavelengths 624 and 564 nm could explain 52% of the variation of soil organic matter; the soil organic matter could explain 59%, 51% and 50% of the variation of Pb, Cu and Zn concentrations with estimated standard errors of 1.41, 48.27 and 45.15 mg • kg −1 ; and the absolute estimation errors were 8%-56%, 12%-118% and 2%-22%, and 50%, 67% and 100% of them were less than 25% for Pb, Cu and Zn concentration estimations. We concluded that the laboratory-based hyperspectral data hold potentials in estimating concentrations of heavy metal Pb, Cu and Zn in soils. More sampling points or other potential linear and non-linear regression methods should be used for improving the stabilities and accuracies of the estimation models.

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Section: Discussionmentioning

confidence: 99%

Feasibility of estimating heavy metal contaminations in floodplain soils using laboratory-based hyperspectral data—A case study along Le’an River, China

Liu

et al. 2011

Geo-spatial Information Science

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“…39 The indirect effects include, for example, the amount of bicarbonate ions or protons, competition for the binding sites on the membranes or matrix proteins. The present study shows that at pH 8 nickel alone shows higher adsorption compared with cobalt alone (Fig 3).…”

Section: Equilibrium Of Biosorptionmentioning

confidence: 99%

Nickel and cobalt sorption on anaerobic granular sludges: kinetic and equilibrium studies

Hullebusch

Zandvoort

Lens

2004

J of Chemical Tech & Biotech

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The kinetics and equilibria of sorption of the divalent metal ions cobalt and nickel onto anaerobic granular sludge are described. Single component and binary equimolar systems were studied at different pH values (pH 6, 7 and 8). The kinetic modelling of metal sorption by anaerobic granular sludge has been carried out using Lagergren equations. On fitting the experimental kinetic data both in firstand pseudo-second-order equations, the regression analysis of a pseudo-second-order equation gave a higher r 2 value, indicating that both external mass transfer and intra-particle diffusion are involved in the sorption process. The experimental isotherm data were analysed using the Langmuir, Freundlich and Redlich-Peterson equations. The Redlich isotherm, a combination of the Langmuir and Freundlich equations, was found to have the highest regression correlation coefficients at pH 7. At pH 8, the Langmuir mechanism dominated for cobalt and nickel adsorption. In contrast, at pH 6, the Freundlich equation gave a better correlation coefficient which suggests a more heterogeneous adsorption at that pH.

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“…Experimentations have been carried out either to identify the mechanisms and the main parameters affecting heavy metal uptake in WWTPs or to use waste-activated sludge as a low cost adsorbent. The influence of a lot of physicochemical and process parameters has been extensively studied and demonstrated: hydraulic residence time [17], sludge age [18], feed C/N ratio [19], pH [20], temperature [20], dissolved organic matter [21,22], the presence of multiple metallic elements [23,24], the composition of the extracellular polymer matrix [25] . .…”

Section: Introductionmentioning

confidence: 99%

Heavy metals uptake by sonicated activated sludge: Relation with floc surface properties

Laurent

Casellas

Dagot

2009

Journal of Hazardous Materials

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Effects of Dissolved Organic Matter and pH on Heavy Metal Uptake by Sludge Particulates Exemplified by Copper(II) and Nickel(II): Three‐Variable Model

Cited by 54 publications

References 7 publications

Feasibility of estimating heavy metal contaminations in floodplain soils using laboratory-based hyperspectral data—A case study along Le’an River, China

Feasibility of estimating heavy metal contaminations in floodplain soils using laboratory-based hyperspectral data—A case study along Le’an River, China

Nickel and cobalt sorption on anaerobic granular sludges: kinetic and equilibrium studies

Heavy metals uptake by sonicated activated sludge: Relation with floc surface properties

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