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Institution

Indian Institute of Technology Guwahati

EducationGuwahati, Assam, India
About: Indian Institute of Technology Guwahati is a education organization based out in Guwahati, Assam, India. It is known for research contribution in the topics: Adsorption & Catalysis. The organization has 6933 authors who have published 17102 publications receiving 257351 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a fixed-bed column for biosorption of Cu(II) onto coconut shell, an agricultural biomaterial, was studied, and the best performance at 10mg/L−1 inlet Cu (II) concentration, 10mL/min−1 flow rate and 20 cm bed depth was achieved.

103 citations

Journal ArticleDOI
TL;DR: This review summarizes the host-guest complexation of biologically important molecules with CBn, and highlights their implementation in medicinal chemistry and chemical biology.
Abstract: The supramolecular chemistry of cucurbit[n]urils (CBn) has been rapidly developing to encompass diverse medicinal applications, including drug formulation and delivery, controlled drug release, and sensing for bioanalytical purposes. This is made possible by their unique recognition properties and very low cytotoxicity. In this review, we summarize the host-guest complexation of biologically important molecules with CBn, and highlight their implementation in medicinal chemistry and chemical biology.

103 citations

Journal ArticleDOI
TL;DR: In this paper, a modified version of COSMO_LL has been used to predict the liquid-liquid equilibria (LLE) for 32 ternary systems, available in literature, each having an ionic liquid.
Abstract: Ionic liquids with their limitless combination of cations and anions can offer an optimal solvent for a specific purpose. But not all corresponding experimental studies are possible as they will be time consuming and expensive. A judicious screening of the various possible solvents is required to select the proper ionic liquid. Conductor-like screening model (COSMO) along with its extension to real solvents can be used for these predictions. In this work, modified version COSMO_LL has been used to predict the liquid–liquid equilibria (LLE) for 32 ternary systems, available in literature, each having an ionic liquid. A complete dissociation of cations and anions of the ionic liquid has been assumed. The root mean square deviation for all these systems is ∼9% which is excellent when compared with ∼50% obtained for predictions using the nondissociated composite molecule. Additionally, experimental LLE data has been collected for four ternary systems, namely: (a) 1-ethyl-3-methylimidazolium ethylsulphate [Emim] [EtSO4] – Ethanol-Hexene, (b) 1-ethyl-3-methylimidazolium ethylsulphate [Emim] [EtSO4] – Ethanol-Heptene, (c) 1,2-dimethyl-3-ethylimidazolium ethylsulphate [E-2,3-dmim] [EtSO4] – Ethanol-Hexene, and (d) 1,2-dimethyl-3-ethylimidazolium ethylsulphate [E-2,3-dmim] [EtSO4] – Ethanol-Heptene. The tie lines have been estimated using NMR and these have been compared with COSMO_LL predictions giving an average rmsd of ∼6%. © 2008 American Institute of Chemical Engineers AIChE J, 2008

103 citations

Journal ArticleDOI
TL;DR: Microalga strain SA1 was isolated from a freshwater body of Assam and identified as Scenedesmus obliquus and could prove to be a potential candidate for CO2 sequestration from flue gas as well as for the production of value added substances.

102 citations

Journal ArticleDOI
TL;DR: The strains isolated from the formation water were characterized and screened considering their crude oil degradation capability and biosurfactant production ability and identified as lipopeptide (Surfactin) and characterized using various analytical techniques to establish its suitability for microbial enhanced oil recovery.

102 citations


Authors

Showing all 7128 results

NameH-indexPapersCitations
Jasvinder A. Singh1762382223370
Dipanwita Dutta1431651103866
Sanjay Gupta9990235039
Santosh Kumar80119629391
Subrata Ghosh7884132147
Rishi Raj7856922423
B. Bhuyan7365821275
Ravi Shankar6667219326
Ashutosh Sharma6657016100
Gautam Biswas6372116146
Sam P. de Visser6225613820
Surendra Nadh Somala6114428273
Manish Kumar61142521762
Mihir Kumar Purkait572679812
Ajaikumar B. Kunnumakkara5720120025
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023118
2022365
20212,032
20201,947
20191,866
20181,647