Login / Signup

Limiting Conductivities of Strong Acids and Bases in D 2 O and H 2 O: Deuterium Isotope Effects on Proton Hopping over a Wide Temperature Range.

Hugues ArcisJeff PlumridgePeter R Tremaine
Published in: The journal of physical chemistry. B (2022)
The molar conductivity (Λ°) of hydrochloric acid, potassium hydroxide, and sodium hydroxide has been measured in both light and heavy waters from 298 to 598 K at p = 20 MPa using a high-precision flow-through alternating current (AC) conductance instrument. The results were used to explore the deuterium isotope effect on ionic transport by proton hopping mechanisms under hydrothermal conditions. Extrapolations of published transport number data to elevated temperature were used to calculate the individual ionic contributions (λ°) for H 3 O + , D 3 O + , OH - , and OD - , from which the excess molar conductivities due to proton hopping were calculated. These are the first reported values for the excess conductivities for D 3 O + and OD - at temperatures above 318 K. The excess conductivities indicate a strong deuterium isotope effect whereby the transport of D 3 O + by proton hopping is reduced by ∼33% relative to H 3 O + , and OD - is reduced by over 60% relative to OH - , over the entire temperature range. A well-defined maximum in the excess conductivities of D 3 O + and H 3 O + at ∼420 K suggests that the Eigen cation (H 2 O) 4 H + and the Zundel transition-state cation (H 2 O) 2 H + are destabilized at elevated temperatures as the three-dimensional, tetrahedrally hydrogen-bonded networks in water break down. The less pronounced maximum for OD - and OH - suggested that their Eigen and Zundel anions, (H 2 O) 3 OH - and (H 2 O)OH - , are less destabilized in the two-dimensional networks and chains that dominate the "structure" of liquid water under these conditions.
Keyphrases
  • ionic liquid
  • electron transfer
  • gas chromatography
  • electronic health record
  • reduced graphene oxide
  • gold nanoparticles
  • deep learning
  • high resolution
  • data analysis
  • big data