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Density Functional Theory (DFT) as a Nondestructive Probe in the Field of Art Conservation: Small-Molecule Adsorption on Aragonite Surfaces.
Heimann, Jessica E; Tucker, Jasper D; Huff, Layla S; Kim, Ye Rin; Ali, Jood; Stroot, M Kaylor; Welch, Xavier J; White, Harley E; Wilson, Marcus L; Wood, Cecelia E; Gates, Glenn A; Rosenzweig, Zeev; Bennett, Joseph W.
Afiliação
  • Heimann JE; Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Baltimore, Maryland 21250, United States.
  • Tucker JD; Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Baltimore, Maryland 21250, United States.
  • Huff LS; Department of History, Geography, and Museum Studies, Morgan State University, Baltimore, Maryland 21251, United States.
  • Kim YR; Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
  • Ali J; Mechanical Engineering Department, University of Maryland Baltimore County, Baltimore, Maryland 21250, United States.
  • Stroot MK; Department of Chemistry, McDaniel College, Westminster, Maryland 21157, United States.
  • Welch XJ; Biology Department, Morgan State University, Baltimore, Maryland 21251, United States.
  • White HE; Department of Chemistry, McDaniel College, Westminster, Maryland 21157, United States.
  • Wilson ML; Department of Chemistry, Towson University, Towson, Maryland 21252, United States.
  • Wood CE; Department of Chemistry and Biochemistry, St. Mary's College of Maryland, St. Mary's City, Maryland 20686, United States.
  • Gates GA; Walters Art Museum, Baltimore, Maryland 21201, United States.
  • Rosenzweig Z; Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Baltimore, Maryland 21250, United States.
  • Bennett JW; Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Baltimore, Maryland 21250, United States.
ACS Appl Mater Interfaces ; 14(11): 13858-13871, 2022 Mar 23.
Article em En | MEDLINE | ID: mdl-35258292
Humans have incorporated minerals in objects of cultural heritage importance for millennia. The surfaces of these objects, which often long outlast the humans that create them, are undeniably exposed to a diverse mixture of chemicals throughout their lifetimes. As of yet, the art conservation community lacks a nondestructive, accurate, and inexpensive flexible computational screening method to evaluate the potential impact of chemicals with art, as a complement to experimental studies. In this work, we propose periodic density functional theory (DFT) studies as a way to address this challenge, specifically for the aragonite phase of calcium carbonate, a mineral that has been used in pigments, marble statues, and limestone architecture since ancient times. Computational models allow art conservation scientists to better understand the atomistic impact of small-molecule adsorbates on common mineral surfaces across a wide variety of environmental conditions. To gain insight into the surface adsorption reactivity of aragonite, we use DFT to investigate the atomistic interactions present in small-molecule-surface interfaces. Our adsorbate set includes common solvents, atmospheric pollutants, and emerging contaminants. Chemicals that significantly disrupt the surface structure such as carboxylic acids and sulfur-containing molecules are highlighted. We also focus on comparing adsorption energies and changes in surface bonds, which allows for the identification of key features in the electronic structure presented in a projected-density-of-state analysis. The trends outlined here will guide future experiments and allow art conservators to gain a better understanding of how a wide range of molecules interact with an aragonite surface under variable conditions and in different environments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Appl Mater Interfaces Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Appl Mater Interfaces Ano de publicação: 2022 Tipo de documento: Article