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Amino acid‑imprinted polymers as highly selective CO2 capture materials

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Title Amino acid‑imprinted polymers as highly selective CO2
capture materials
 
Creator Chaterjee, Sreedipta
Krupadam, Reddithota J.
 
Subject Chemistry, Chemical Technology
 
Description The recent atmospheric concentration of CO2
increase to 400 ppm is a cause of global climate change. There is therefore
an urgent need for selective and cost-effective CO2
capture technologies. Fossil fuel consumption during energy production
and transportation are two major sources of CO2
emission into the atmosphere. The capture of CO2
selectively from gaseous
mixtures using reusable adsorbent is thus a challenge. In this article, we report that nanoparticles functionalized with
imprinting of amino acids exhibit a significant increase in the selective adsorption capacities of CO2
in a gaseous mixture.
Molecular imprinting of taurine in the vinylbenzyl chloride-co-divinyl benzene polymer formed cavities of 1–3 nm size
and introduced –SOOH and –N–H functionalities, resulting in a very high CO2
adsorption capacity of 5.67 mmol g−1 at
30 °C/1 bar. The selectivity of CO2
over N2
and CH4
was 87–91% and 83–87%, respectively. The isosteric heat of adsorption
(Qst) for CO2
at 298 and 303 K showed an increase in Qst from 36.8 to 47.6 K kJ mol−1, and this would be responsible
for high CO2
adsorption energies and faster kinetics. This study reports first-time imprinting of CO2-
philic templates in the
polymers to capture small gas molecules at ambient conditions, and the results demonstrated that the polymers have a wide
scope for real-life applications of CO2
capture.
 
Publisher Springer
 
Date 2019
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://neeri.csircentral.net/1222/1/Chaterjee-Krupadam2019_Article_AminoAcid-imprintedPolymersAsH.pdf
Chaterjee, Sreedipta and Krupadam, Reddithota J. (2019) Amino acid‑imprinted polymers as highly selective CO2 capture materials. Environmental Chemistry Letters, 17 (1). pp. 465-472. ISSN 1610-3653, ESSN: 1610-3661
 
Relation https://link.springer.com/journal/10311
http://neeri.csircentral.net/1222/