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Experimental Validation of Hydrogen Atom Transfer Gibbs Free Energy as a Predictor of Nitroaromatic Reduction Rate Constants.
Murillo-Gelvez, Jimmy; Hickey, Kevin P; Di Toro, Dominic M; Allen, Herbert E; Carbonaro, Richard F; Chiu, Pei C.
Affiliation
  • Murillo-Gelvez J; Department of Civil and Environmental Engineering , University of Delaware , Newark , Delaware 19716 , United States.
  • Hickey KP; Department of Civil and Environmental Engineering , University of Delaware , Newark , Delaware 19716 , United States.
  • Di Toro DM; Department of Civil and Environmental Engineering , University of Delaware , Newark , Delaware 19716 , United States.
  • Allen HE; Department of Civil and Environmental Engineering , University of Delaware , Newark , Delaware 19716 , United States.
  • Carbonaro RF; Department of Chemical Engineering , Manhattan College , Riverdale , New York 10471 , United States.
  • Chiu PC; Mutch Associates LLC , Ramsey , New Jersey 07446 , United States.
Environ Sci Technol ; 53(10): 5816-5827, 2019 05 21.
Article de En | MEDLINE | ID: mdl-31038307
ABSTRACT
Nitroaromatic compounds (NACs) are a class of prevalent contaminants. Abiotic reduction is an important fate process that initiates NAC degradation in the environment. Many linear free energy relationship (LFER) models have been developed to predict NAC reduction rates. Almost all LFERs to date utilize experimental aqueous-phase one-electron reduction potential ( EH1) of NAC as a predictor, and thus, their utility is limited by the availability of EH1 data. A promising new approach that utilizes computed hydrogen atom transfer (HAT) Gibbs free energy instead of EH1 as a predictor was recently proposed. In this study, we evaluated the feasibility of HAT energy for predicting NAC reduction rate constants. Using dithionite-reduced quinones, we measured the second-order rate constants for the reduction of seven NACs by three hydroquinones of different protonation states. We computed the gas-phase energies for HAT and electron affinity (EA) of NACs and established HAT- and EA-based LFERs for six hydroquinone species. The results suggest that HAT energy is a reliable predictor of NAC reduction rate constants and is superior to EA. This is the first independent, experimental validation of HAT-based LFER, a new approach that enables rate prediction for a broad range of structurally diverse NACs based solely on molecular structures.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Électrons / Hydrogène Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Environ Sci Technol Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Électrons / Hydrogène Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Environ Sci Technol Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique