A model experiment: competitive sorption of Cd, Cu, Pb and Zn by three different soils

Zemanová, Veronika; Trakal, Lukáš; Ochecova, Pavla; Száková, Jiřina; Pavlı́ková, Daniela

doi:10.17221/50/2013-swr

Cited by 14 publications

(3 citation statements)

References 28 publications

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“…Regeneration studies indicated that HCl provided the highest desorption capacity but with most material damage. Zemanova et al 30 carried out investigation on competitive sorption of Cd, Cu, Pb and Zn 30 . For adsorption experiments he used three types of soil.…”

Section: Multicomponent and Competitive Sorption Of Heavy Metalsmentioning

confidence: 99%

Multicomponent and Competitive Sorption of Heavy Metals- Review on Significant Research and Studies

2017

JCBSC

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Heavy metals have acute and chronic effect on human beings and other living organisms also. It is very important to identify the risk and take steps for removal of heavy metals from the effluents. The industries such as paint, pigment, catalyst, fine chemicals, coating, automobile, electronics, battery etc. uses heavy metals in some or other form. They treat the wastewater by using conventional methods. Heavy metal removal from the wastewater by using adsorption is commonly investigated area of research. The wastewater generally contains more than heavy metals. It is envisaged to study the effect of presence of one heavy metal on removal of other heavy metal. It can help selective removal of specific heavy metal and selection proper adsorbent. Most of these investigations indicated that the presence of one metal has significant effect on sorption of other metal. This effect can be positive or negative. Competitive adsorption indicates competition for adsorbent sites. In cooperative mechanism, the presence of one metal has positive effect on sorption of other. The present review intends to study research and studies on the competitive adsorption of heavy metals on different materials.

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Section: Multicomponent and Competitive Sorption Of Heavy Metalsmentioning

confidence: 99%

Multicomponent and Competitive Sorption of Heavy Metals- Review on Significant Research and Studies

2017

JCBSC

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“…This property is associated with the high reactivity of fine particles that contain minerals of clay, iron/manganese/aluminum oxide and humic acid [61]. The sorption strength of TEs is characteristic of soil type [62], since the processes of sorption and bioavailability of TEs are influenced by soil mineral composition, iron/manganese/aluminum oxide and hydroxides, silicates, phosphates, carbonates, soil and humic acids, and organic colloids [44,61,63]. Depending on the mentioned physicochemical properties and processes in the soil, the mobility of TEs can vary greatly in different soil types [15,64].…”

Section: Introductionmentioning

confidence: 99%

Influence of Soil Type on the Reliability of the Prediction Model for Bioavailability of Mn, Zn, Pb, Ni and Cu in the Soils of the Republic of Serbia

Maksimović¹,

Pivić²,

Stanojković-Sebić³

et al. 2021

Agronomy

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The principles of sustainable agriculture in the 21st century are based on the preservation of basic natural resources and environmental protection, which is achieved through a multidisciplinary approach in obtaining solutions and applying information technologies. Prediction models of bioavailability of trace elements (TEs) represent the basis for the development of machine learning and artificial intelligence in digital agriculture. Since the bioavailability of TEs is influenced by the physicochemical properties of the soil, which are characteristic of the soil type, in order to obtain more reliable prediction models in this study, the testing set from the previous study was grouped based on the soil type. The aim of this study was to examine the possibility of improvement in the prediction of bioavailability of TEs by using a different strategy of model development. After the training set was grouped based on the criteria for the new model development, the developed basic models were compared to the basic models from the previous study. The second step was to develop models based on the soil type (for the eight most common soil types in the Republic of Serbia—RS) and to compare their reliability to the basic models. From the total number of developed models by soil type (80), 75% were accepted as statistically reliable for predicting the bioavailability of TEs by soil type and 70% of prediction models had a higher determination coefficient (R2), compared to the basic models. For the Fluvisol soil type, all prediction models were accepted, while the least reliable prediction was for the Planosol type. As in the previous study of bioavailability prediction for TEs, the prediction models for Cu stood out, with more than half of the models with R2 greater than 0.90. Results of this study indicated that the formation of a testing set by soil type derives models whose predictions are more reliable than the basic ones. To improve the performance of prediction models, it is necessary to include additional physicochemical parameters and to conduct an adequate analysis of extensive testing sets with more comprehensive statistical techniques.

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“…Until now, the effect of soil-applied biochars from different stock biomasses on rhizosphere microbiota, durum wheat plant performance, and soil properties in low metal-contaminated soil has not been investigated. This study focused on soil originating from the vicinity of a mining/smelting district (Přibram, Czechia), 12 km distant from the heavily contaminated soil, and followed up several previous studies dealing with bulk metal contamination in this area (Zemanová et al, 2014;Jačka et al, 2018). In the present study, two different biochars (i.e., wood and wheat straw), both manufactured at a high pyrolysis temperature (700 • C), and two durum wheat varieties exhibiting different behavior and traits, thus reflecting the level of influence of the plant genotype to the biochar treatment, were used with the aim of assessing the effect of biochar type and/or durum genotype on the diversity and composition of microbiota associated with rhizosphere soil, soil properties, and plant growth.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Soil-Applied Biochars From Different Vegetal Feedstocks on Durum Wheat Plant Performance and Rhizospheric Bacterial Microbiota in Low Metal-Contaminated Soil

et al. 2019

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A model experiment: competitive sorption of Cd, Cu, Pb and Zn by three different soils

Cited by 14 publications

References 28 publications

Multicomponent and Competitive Sorption of Heavy Metals- Review on Significant Research and Studies

Multicomponent and Competitive Sorption of Heavy Metals- Review on Significant Research and Studies

Influence of Soil Type on the Reliability of the Prediction Model for Bioavailability of Mn, Zn, Pb, Ni and Cu in the Soils of the Republic of Serbia

The Impact of Soil-Applied Biochars From Different Vegetal Feedstocks on Durum Wheat Plant Performance and Rhizospheric Bacterial Microbiota in Low Metal-Contaminated Soil

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