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Chloroform Hydrodechlorination on Palladium Surfaces: A Comparative DFT Study on Pd(111), Pd(100), and Pd(211)

  • Lang Xu
  • Saurabh Bhandari
  • Jiming Chen
  • Jonathan Glasgow
  • Manos MavrikakisEmail author
Original Paper

Abstract

Palladium has been shown to be an effective catalyst for chloroform hydrodechlorination, which serves as a promising treatment method for industrial chloroform waste. To investigate the structure sensitivity of this chemistry on Pd surfaces, we performed a density functional theory (DFT, GGA-PW91) study of the chloroform hydrodechlorination reaction on three distinct facets: Pd(111), Pd(100), and Pd(211). Based on the DFT results, the binding strengths of most surface intermediates generally increase in the following order: Pd(111) < Pd(100) < Pd(211). On all three Pd facets, methane is formed as the preferred reaction product through a pathway in which CHCl3* is fully dechlorinated to CH* first, and then hydrogenated to CH4. We constructed potential energy diagrams (PED) and compared the reaction energetics for chloroform hydrodechlorination on the three Pd facets. We propose that the competition between the desorption of chloroform and its initial dechlorination to form CHCl2* likely determines the hydrodechlorination activity of the catalyst. On Pd(111), the desorption of chloroform is energetically favored over its dechlorination while the dechlorination barriers are lower than the desorption barriers on Pd(100) and Pd(211). On the other hand, Pd(100) and Pd(211) bind atomic chlorine stronger and also catalyze the formation of atomic carbon effectively; both are potential site-blocking species. Our results suggest that the more open facets and step edge sites of a Pd nanoparticle may carry higher intrinsic activity towards chloroform hydrodechlorination than the close-packed facets, yet these under-coordinated sites are more prone to catalyst poisoning.

Keywords

Chloroform Hydrodechlorination Density functional theory Palladium Structure sensitivity 

Notes

Acknowledgements

This work was supported by the U.S. Department of Energy (DOE)-Basic Energy Sciences (BES), Office of Chemical Sciences, under Grant No. DE‐FG02‐05ER15731. Part of the computational work was conducted using supercomputing resources from the following institutions: the National Energy Research Scientific Computing Center (NERSC) and the Center for Nanoscale Materials (CNM) at Argonne National Laboratory (ANL). CNM and NERSC are supported by the U.S. Department of Energy, Office of Science, under contracts DE‐AC02‐06CH11357 and DE‐AC02‐05CH11231, respectively. We thank Jake Gold, Tibor Szilvási, and Sean Tacey for their helpful comments on this article.

Compliance with Ethical Standards

Conflict of interest

All authors declare that they have no conflict of interest.

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© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  1. 1.Department of Chemical & Biological EngineeringUniversity of Wisconsin – MadisonMadisonUSA

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