86
Views
3
CrossRef citations to date
0
Altmetric
Articles

DFT Study to Reduce TCDD by B12N12 Nano-Cage: A Comparison of Calculating Spectroscopic Properties with NMR and NBO

Pages 445-456 | Received 01 Jan 2016, Accepted 13 Sep 2016, Published online: 20 Dec 2016
 

ABSTRACT

According to human studies, one of the most hazardous chlorinated organic compounds is tetrachlorodibenzodioxin (TCDD). These studies have found an association between TCDD and lung cancer, soft-tissue sarcomas, lymphomas, stomach carcinomas, and so on. One of the aims of this research is to identify and reduce these pollutants by boron nitride nano-cages (B12N12-NC) with Th symmetry. First, the sensitivity of B12N12-NC is investigated for two types of TCDD (2,3,7,8-TCDD and 1,3,7,9-TCDD) using GAMESS-US program package with B3LYP/6–31++G(d) levels. According to the calculated data, B12N12-NC is more sensitive to 1,3,7,9-TCDD. Then, it is simulated to calculate the geometric optimize structure, electronic properties, thermodynamics properties; nuclear magnetic resonance studies and the natural bonding orbital analysis are conducted separately for B12N12-NC and 1,3,7,9-TCDD, and when closed TCDD approaches nano-cage, steps of its conversion into intermediate (2,4-dichlorophenol) and finally to aliphatic compound (2-chloroprop-2-en-ol and 1-chloropropene) are shown. According to the results, most changes are observed in the transition state of these interactions, which indicates that the nano-adsorbent (B12N12-NC) is suitable for identifying and reducing dioxin compounds.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,492.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.