What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Oxygen
- Thermodynamics
His primary scientific interests are in Chromatography, Membrane, Adsorption, Pulmonary surfactant and Membrane technology.
His research in Chromatography intersects with topics in Nuclear chemistry, Nanofiltration, Analytical chemistry, Permeation and Aqueous solution.
His work in the fields of Molecular weight cut-off overlaps with other areas such as Citrus × sinensis.
His biological study spans a wide range of topics, including Inorganic chemistry and Scanning electron microscope.
Sirshendu De combines subjects such as Coacervate, Cationic polymerization and Chloride with his study of Pulmonary surfactant.
His Membrane technology research incorporates elements of Cross-flow filtration and Ultrafiltration.
His most cited work include:
- Removal of congo red using activated carbon and its regeneration (392 citations)
- Nanofiltration of textile plant effluent for color removal and reduction in COD (256 citations)
- Removal of dye from wastewater using micellar-enhanced ultrafiltration and recovery of surfactant (179 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Membrane, Chromatography, Chemical engineering, Adsorption and Permeation.
Sirshendu De interconnects Contact angle, Polyacrylonitrile and Analytical chemistry in the investigation of issues within Membrane.
His research integrates issues of Nanofiltration, Membrane technology, Effluent, Ultrafiltration and Filtration in his study of Chromatography.
His Chemical engineering research incorporates themes from Hollow fiber membrane, Fouling, Polysulfone and Polymer chemistry.
In his work, Pulmonary surfactant is strongly intertwined with Aqueous solution, which is a subfield of Adsorption.
His Permeation study combines topics in areas such as Volumetric flow rate and Osmotic pressure.
He most often published in these fields:
- Membrane (39.64%)
- Chromatography (36.94%)
- Chemical engineering (24.62%)
What were the highlights of his more recent work (between 2016-2021)?
- Membrane (39.64%)
- Chemical engineering (24.62%)
- Adsorption (19.82%)
In recent papers he was focusing on the following fields of study:
Sirshendu De focuses on Membrane, Chemical engineering, Adsorption, Permeation and Polyacrylonitrile.
His Membrane research integrates issues from Chromatography, Polymer and Filtration.
His Extraction study in the realm of Chromatography connects with subjects such as Trachyspermum ammi.
His work deals with themes such as Hollow fiber membrane, Polysulfone and Membrane permeability, which intersect with Chemical engineering.
His Adsorption research includes themes of Scientific method, Inorganic chemistry, Wastewater and Nuclear chemistry.
His Permeation study integrates concerns from other disciplines, such as Sherwood number, Porosity and Volumetric flow rate.
Between 2016 and 2021, his most popular works were:
- Smart responsive materials for water purification: an overview (42 citations)
- Chelating polyacrylonitrile beads for removal of lead and cadmium from wastewater (39 citations)
- Adsorptive removal of arsenic from groundwater using chemically treated iron ore slime incorporated mixed matrix hollow fiber membrane (34 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Oxygen
- Polymer
His main research concerns Adsorption, Membrane, Chemical engineering, Polyacrylonitrile and Chromatography.
His Adsorption study combines topics from a wide range of disciplines, such as Nuclear chemistry, Inorganic chemistry, Hydroxide, Cyanide and Wastewater.
The Membrane study combines topics in areas such as Polyaniline and Polymer.
His Chemical engineering research incorporates themes from Porosity, Langmuir and Membrane permeability.
His Polyacrylonitrile research is multidisciplinary, incorporating perspectives in Chitosan and Sodium hydroxide.
His Chromatography study incorporates themes from Pectin, Food science, Aspergillus niger and Enzymatic hydrolysis, Enzyme.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
