Literature DB >> 21861484

Evaluating the efficacy of amino acids as CO2 capturing agents: a first principles investigation.

M Althaf Hussain1, Yarasi Soujanya, G Narahari Sastry.   

Abstract

Comprehension of the basic concepts for the design of systems for CO2 adsorption is imperative for increasing interest in technology for CO2 capture from the effluents. The efficacy of 20 naturally occurring amino acids (AAs) is demonstrated as the most potent CO2 capturing agents in the process of chemical absorption and physisorption through a systematic computational study using highly parametrized M05-2X/6-311+G(d,p) method. The ability of AAs to bind CO2 both in the noncovalent and covalent fashion and presence of multiple adsorption sites with varying magnitude of binding strengths in all 20 AAs makes them as most promising materials in the process of physisorption. The binding energies (BEs) estimating the strength of noncovalent interaction of AAs and CO2 are calculated and results are interpreted in terms of the nature and strength of the various types of cooperative interactions which are present. The study underlines the possibility to engineer the porous solid materials with extended networks by judiciously employing AA chains as linkers which can substantially augment their efficacy. Results show that a significant increase in the CO2···AA affinity is achieved in the case of AAs with polar neutral side chains. Furthermore, the study proposes AAs as effective alternatives to alkanolamines in chemical dissolution of CO2.

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Year:  2011        PMID: 21861484     DOI: 10.1021/es2019725

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  A Computational Analysis of the Reaction of SO2 with Amino Acid Anions: Implications for Its Chemisorption in Biobased Ionic Liquids.

Authors:  Vanessa Piacentini; Andrea Le Donne; Stefano Russo; Enrico Bodo
Journal:  Molecules       Date:  2022-06-03       Impact factor: 4.927

2.  Representation of molecular structures with persistent homology for machine learning applications in chemistry.

Authors:  Jacob Townsend; Cassie Putman Micucci; John H Hymel; Vasileios Maroulas; Konstantinos D Vogiatzis
Journal:  Nat Commun       Date:  2020-06-26       Impact factor: 14.919

3.  CO2 Capture in Ionic Liquids Based on Amino Acid Anions With Protic Side Chains: a Computational Assessment of Kinetically Efficient Reaction Mechanisms.

Authors:  Stefano Onofri; Henry Adenusi; Andrea Le Donne; Enrico Bodo
Journal:  ChemistryOpen       Date:  2020-11-10       Impact factor: 2.630

  3 in total

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