Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/8847
Title: Lab Cooked MOF for CO2 Capture: A Sustainable Solution to Waste Management
Authors: Panda, Debashis
Patra, Soumyadip
Awasthi, Mahendra Kumar
Singh, Sanjay Kumar
Keywords: Carbon capture;Carbon dioxide;Data handling;Digital storage;Fourier transform infrared spectroscopy;Green Synthesis;Inorganic compounds;Metal-Organic Frameworks;Organometallics;Physicochemical properties;Spectroscopy;Statistical mechanics;Synthesis (chemical);Thermogravimetric analysis;Ultraviolet visible spectroscopy;Waste management;Carbon capture and storages (CCS);Green chemistry;Inorganic chemistry;Instrumentation techniques;Laboratory experiments;Powder X ray diffraction;Research methodologies;Upper division undergraduate;Students
Issue Date: 2020
Publisher: American Chemical Society
Citation: Panda, D., Patra, S., Awasthi, M. K., & Singh, S. K. (2020). Lab cooked MOF for CO2 capture: A sustainable solution to waste management. ACS Applied Materials and Interfaces, doi:10.1021/acs.jchemed.9b00337
Abstract: To understand critical problems associated with solid waste and its consequences for the environment, a laboratory experiment is presented on the synthesis of aluminum-based metal-organic framework (MOF) MIL-53(Al) from household waste (PET bottles and aluminum foil/can), for undergraduate students of chemistry. This work is designed to teach students the research methodology and basic understanding of MOFs and their application in carbon capture and storage (CCS). Students also learnt several instrumentation techniques such as UV-vis spectroscopy, powder X-ray diffraction (P-XRD), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and gas sorption to characterize the physicochemical properties of MIL-53(Al). The facile production of MIL-53(Al) enabled the students to investigate its applicability in CO2 sorption. The calculations of essential parameters such as CO2 over N2 selectivity and the use of statistical tools in data processing are also explained to the students. In the end, the instructor presented his/her feedback by evaluating the answer sheets (pre- A nd postlab work) and by demonstrating the overall lab work through a model presentation. © 2020 American Chemical Society and Division of Chemical Education, Inc.
URI: https://doi.org/10.1021/acs.jchemed.9b00337
https://dspace.iiti.ac.in/handle/123456789/8847
ISSN: 1944-8244
Type of Material: Journal Article
Appears in Collections:Department of Chemistry

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