scholarly journals Comparative Assessment of Modified Bentonites as Retardation Barrier: Adsorption Performance and Characterization

2022 ◽  
Author(s):  
Dongdong Guo ◽  
Yong Wan ◽  
Jiangshan Li ◽  
Ruiqi Liu ◽  
Lei Liu ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Organic Contaminants ◽  
Three Dimensional ◽  
Industrial Applications ◽  
X Ray Diffraction ◽  
Modified Bentonite ◽  
Adsorption Mechanisms ◽  
Metal Pollutants ◽  
Adsorption Sites ◽  
Heavy Metal Pollutants

Abstract Modified bentonites for anti–seepage system application has been attracting global attentions. At the same time, the performances of modified bentonite containing retardation barrier exposed to organic–heavy metal pollutants have not been fully reported. In this study, the adsorption performances (one of the key evaluation indicators of retardation barrier) of nine kinds of commonly used modified bentonites on multiple contaminants were comparatively investigated. The X–ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) analyses were also performed to unravel the adsorption mechanisms. Results show that the adsorption of modified bentonites on phenol and Pb(II) follows the order of SB–16 > PVA > CTAB > APAM > CTAB + PAC > PAC > CPAM > CTAB + PAC > CTAB + CPAM + APAM. Among all the samples, the bentonite modified with SB–16 showed the highest adsorption capacities for phenol and Pb(II). The surfactant molecules inserted in the interlayer space of montmorillonite increase the substrate spacing, which changes the structural properties of the bentonite from hydrophilic to hydrophobic and increases the adsorption of organic contaminants. On the other hand, the polymer has functional groups such as hydroxyl and carboxyl that can form a spatial three–dimensional cross–linking structure on the bentonite surface, providing more adsorption sites for heavy metal ions. These findings indicate the potential industrial applications of modified bentonite in a contaminant barrier system.

scholarly journals Application of nanoscale zero-valent iron in hexavalent chromium-contaminated soil: A review

2020 ◽  
Vol 9 (1) ◽  
pp. 736-750
Author(s):  
Xilu Chen ◽  
Xiaomin Li ◽  
Dandan Xu ◽  
Weichun Yang ◽  
Shaoyuan Bai
Keyword(s):  
Heavy Metal ◽  
Hexavalent Chromium ◽  
Contaminated Soil ◽  
Zero Valent Iron ◽  
Toxic Heavy Metal ◽  
Factors Affecting ◽  
Metal Pollutants ◽  
Nanoscale Zero Valent Iron ◽  
Low Toxicity ◽  
Heavy Metal Pollutants

AbstractChromium (Cr) is a common toxic heavy metal that is widely used in all kinds of industries, causing a series of environmental problems. Nanoscale zero- valent iron (nZVI) is considered to be an ideal remediation material for contaminated soil, especially for heavy metal pollutants. As a material of low toxicity and good activity, nZVI has been widely applied in the in situ remediation of soil hexavalent chromium (Cr(vi)) with mobility and toxicity in recent years. In this paper, some current technologies for the preparation of nZVI are summarized and the remediation mechanism of Cr(vi)-contaminated soil is proposed. Five classified modified nZVI materials are introduced and their remediation processes in Cr(vi)-contaminated soil are summarized. Key factors affecting the remediation of Cr(vi)-contaminated soil by nZVI are studied. Interaction mechanisms between nZVI-based materials and Cr(vi) are explored. This study provides a comprehensive review of the nZVI materials for the remediation of Cr(vi)-contaminated soil, which is conducive to reducing soil pollution.

Highly sensitive detection of Cr(vi) in groundwater by bimetallic NiFe nanoparticles

2017 ◽  
Vol 9 (6) ◽  
pp. 1031-1037 ◽  
Author(s):  
Jingtao Liu ◽  
Yu Ding ◽  
Lifei Ji ◽  
Xin Zhang ◽  
Fengchun Yang ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Hexavalent Chromium ◽  
Low Cost ◽  
High Sensitivity ◽  
Sensitive Detection ◽  
Toxic Heavy Metal ◽  
Metal Pollutants ◽  
Highly Sensitive ◽  
Highly Sensitive Detection ◽  
Heavy Metal Pollutants

Hexavalent chromium (Cr(vi)) is one of the most toxic heavy metal pollutants in groundwater, and thus the detection of Cr(vi) with high sensitivity, accuracy, and simplicity and low cost is of great importance.

scholarly journals The Effect of Heavy Metal Pollutants on Bioluminescence Intensity of Luminous Mushrooms (Nenothopanus sp)

2020 ◽  
Vol 21 (2) ◽  
pp. 98-109
Author(s):  
Witriani Marvinatur Ihsan ◽  
Ratnawulan Ratnawulan
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Heavy Metal Concentration ◽  
Maximum Intensity ◽  
Coastal Forest ◽  
Metal Pollutants ◽  
Heavy Metal Concentrations ◽  
Measurement Results ◽  
West Sumatra ◽  
Heavy Metal Pollutants

In the South Coastal Forest area, West Sumatra, a luminous mushroom with the species Neonothopanus Sp. This research was conducted with the aim of seeing the effect of heavy metals on the bioluminescence reaction of luminous mushrooms. Starting from the effect of heavy metal concentrations on the intensity and inhibition coefficient of luminous mushroom biolumination. From the measurement results, the maximum intensity value of luminous mushrooms is 499.6 au occurring at a wavelength of 505 nm. At a wavelength of 505 nm, visible light is produced in green. The results obtained are in accordance with observations, because the light emitted by the glowing mushroom is green. If the concentration of heavy metals is greater, the intensity of the bioluminescent fungus (Neonothopanus sp) will decrease. The type of heavy metal affects the intensity of the fungus biolumination. The greatest decrease in intensity occurred in copper (Cu) and iron (Fe), zinc (Zn) and lead (Pb). If the heavy metal concentration is greater, the inhibition coefficient will be smaller. The greatest inhibition coefficient due to the presence of heavy metals occurs in copper (Cu) then iron (Fe), zinc (Zn) and the smallest is lead (Pb).

A Fuzzy Cluster Algorithm of Heavy Metal City Topsoil Pollution

2013 ◽  
Vol 830 ◽  
pp. 341-344
Author(s):  
Jun Jun Du ◽  
Sheng Ping Jin ◽  
Qiong Li ◽  
She Sheng Zhang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Fuzzy Ahp ◽  
Science Research ◽  
Fuzzy Cluster ◽  
Metal Pollutants ◽  
Fuzzy Cluster Algorithm ◽  
Heavy Metal Pollutants

Consider heavy metal pollution of topsoil in the city of world today is a hot science research project. A fuzzy clustering algorithm l is constructed ed by analyzing the propagation characteristics of heavy metal pollutants. Considering topography, areas, factories, roads, , irredentist, etc. we calculate a evaluation on comprehensive pollution, and the degree of heavy metals pollution, by using fuzzy clustering and fuzzy AHP. The results show that the index of the comprehensive pollution of heavy metals on the region, and the weight of pollution of each category.

Nanosorbents for the removal of heavy metal pollutants

2022 ◽  
pp. 363-387
Author(s):  
V. Madhavi ◽  
A. Vijaya Bhaskar Reddy ◽  
G. Madhavi
Keyword(s):  
Heavy Metal ◽  
Metal Pollutants ◽  
Heavy Metal Pollutants
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