S
Shyam S. Shukla
Researcher at Lamar University
Publications - 52
Citations - 4491
Shyam S. Shukla is an academic researcher from Lamar University. The author has contributed to research in topics: Aqueous solution & Adsorption. The author has an hindex of 28, co-authored 52 publications receiving 3870 citations. Previous affiliations of Shyam S. Shukla include University of Connecticut & Houston Advanced Research Center.
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The role of sawdust in the removal of unwanted materials from water.
TL;DR: Sawdust, a relatively abundant and inexpensive material is currently being investigated as an adsorbent to remove contaminants from water as discussed by the authors, and chemical substances including dyes, oil, toxic salts and heavy metals can be removed very effectively with the organic material.
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The removal of heavy metal from aqueous solutions by sawdust adsorption - removal of copper.
TL;DR: Locally available sawdust, a byproduct of the world industry, was found to be a low cost and promising adsorbent for the removal of copper(II) from wastewater and provides strong evidence to support the hypothesis of adsorption mechanism.
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Adsorption of chromium from aqueous solutions by maple sawdust
TL;DR: The experimental result inferred that chelation ion exchange is one of the major adsorption mechanisms for binding metal ions to the maple sawdust.
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The removal of heavy metals from aqueous solutions by sawdust adsorption--removal of lead and comparison of its adsorption with copper.
TL;DR: The results indicate the potentially practical value of this method in industries and also provide strong evidence to support the adsorption mechanism proposed.
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Membrane-based separation of potential emerging pollutants
Suhas P. Dharupaneedi,Sanna Kotrappanavar Nataraj,Mallikarjuna N. Nadagouda,Kakarla Raghava Reddy,Shyam S. Shukla,Tejraj M. Aminabhavi +5 more
TL;DR: Of these methods, membrane-based separation processes (MBSPs) are effective over the conventional techniques for providing clean water from wastewater streams at an affordable cost with minimum energy requirement.