Ganesh Chandra Kisku

Modified Cenospheres as an Adsorbent for the Removal of Disperse Dyes

The main objective of this investigation was to use modified cenospheres for the removal of disperse blue 79:1 (DB) and disperse orange 25 (DO) dyes from aqueous solution by batch adsorption process under different conditions (pH, adsorbent dose, adsorbate concentration, agitation speed, contact time, and temperature). Modified cenosphere was capable of removing up to 78% of DB and 81% of DO dyes from aqueous solutions of 40 mg/L dyes concentration. The investigated data was explained by the Langmuir isotherm. The experimental data were found to follow the pseudo-second-order kinetic model. The results of this study suggested that modified cenospheres could be used as a low-cost alternative to expensive adsorbents like activated carbon in wastewater treatment for the removal of disperse dyes.

Adsorptive capacity of sawdust for the adsorption of MB dye and designing of two-stage batch adsorber

Abstract The use of low-cost locally available adsorbent, sawdust for the removal of methylene blue (MB) dye in a batch adsorber system has been investigated. The experimental data fitted best in Langmuir isotherm as compared to Freundlich and Temkin isotherms, showing maximum adsorption capacity of 76.92 mg/g. The study revealed that the adsorption of MB dye onto sawdust follows pseudo-second-order kinetic model and the same has been used in design of a two-stage batch adsorber by minimizing total contact time to attain a fixed percentage of MB dye removal. The minimum contact time required for the removal of MB dye with 99% efficiency has been found as 37.54 min.

An Efficient Removal of Disperse Dye from Wastewater Using Zeolite Synthesized from Cenospheres

AbstractIn the present work, cenospheres were modified to synthesize zeolite in order to improve their adsorption capacity. The synthesized zeolite was characterized by attenuated total reflectance...

Characterization of coal fly ash and use of plants growing in ash pond for phytoremediation of metals from contaminated agricultural land

ABSTRACT Mobilization of heavy metals around coal power plants due to improper disposal of fly ash (FA) and wastewater have led to release of pollutants into the environment. For protection of inimitable natural resources, application of economical and effective technologies is needed such as phytoremediation is cost-effective, ecofriendly and a better option for elimination of metal from contaminated sites. Twelve plant species were sampled from ash dyke of Singrauli and screened for accumulation of metals for this study. Mobilization ratio of metals from soil to plant was evaluated to determine translocation factor. CILLAS analyzer, Raman spectroscopy and SEM-EDX were used for characterization of particle size, functional groups and morphology of fly ash. Results showed mean metal concentrations in contaminated soil for Fe, Mn, Cr, Zn, Ni, Cu, Cd and Pb were 909.4, 60.6, 9.5, 134.8, 13.6, 26.7, 2.9 and 25.4 µg g−1 respectively. Enrichment factors for soil, root and shoot for a contaminated site were 1.9, 3.8 & 4.3 for Zn and 2.7, 3.5 & 3.8 for Cd. Six hyper-accumulators with absorption efficiency >1 viz. I. carnea, S. nigrum, S. munja, T. angustifolia, C. dactylon and P. hysterophorus were identified which may be cultivated successively to reclaim and restore damaged agricultural land.

Multivariate statistical interpretation on seasonal variations of fluoride-contaminated groundwater quality of Lalganj Tehsil, Raebareli District (UP), India

Quality of groundwater is concerned with various processes such as precipitation, weathering and dissolution of mineral, cation exchange and ground water exploitation. Present study aims to interpret the seasonal variation of groundwater quality contaminated with fluoride. Sixty water samples were collected during pre- and post-monsoon seasons from Lalganj Tehsil of Raebareli District, UP (India). Multivariate statistical analyses such as factor analysis (FA), principal component analysis (PCA), cluster analysis and correlation matrix were applied on 14 hydro-chemical constituents, i.e., pH, EC, TDS, TBDT, TH, bicarbonate (BiC), NO3−, SO42−, F−, Cl−, Ca2+, Mg2+, Na+ and K+. Factor analysis explained that TH, Mg2+, SO42−, Cl−, EC, TDS and F− were significantly loaded parameters during both seasons that influence the groundwater quality due to weathering and dissolution of mineral during aquifer recharging. The source of F− appears to be geogenic due to the alluvial sediments deposited in the geological past as no hard rock terrain was present in the nearby areas that were dominantly made up of mud with pocket of sand. The cumulative variance obtained from PCA suggested that the groundwater quality in pre-monsoon was better than that of post-monsoon. Correlation explained that EC of groundwater completely depends on the dissolved solids. Dendrogram of cluster analysis indicated that parameters were grouped into four clusters on the basis of similarity, during both seasons. Values of Mg+, F−, TH, and TDS exceeded more than the drinking water standard during both seasons. It will bring alertness to the people regarding whether the groundwater is suitable or unsuitable for drinking purpose.