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Title: Ions Tune Interfacial Water Structure and Modulate Hydrophobic Interactions at Silica Surfaces

Abstract

The structure and ultrafast dynamics of the electric double layer (EDL) are central to chemical reactivity and physical properties at solid/aqueous interfaces. While the Gouy–Chapman–Stern model is widely used to describe EDLs, it is solely based on the macroscopic electrostatic attraction of electrolytes for the charged surfaces. Structure and dynamics in the Stern layer are, however, more complex because of competing effects due to the localized surface charge distribution, surface–solvent–ion correlations, and the interfacial hydrogen bonding environment. Here, we report combined time-resolved vibrational sum frequency generation (TR-vSFG) spectroscopy with ab initio DFT-based molecular dynamics simulations (AIMD/DFT-MD) to get direct access to the molecular-level understanding of how ions change the structure and dynamics of the EDL. We show that innersphere adsorbed ions tune the hydrophobicity of the silica–aqueous interface by shifting the structural makeup in the Stern layer from dominant water–surface interactions to water–water interactions. This drives an initially inhomogeneous interfacial water coordination landscape observed at the neat interface toward a homogeneous, highly interconnected in-plane 2D hydrogen bonding (2D-HB) network at the ionic interface, reminiscent of the canonical, hydrophobic air–water interface. This ion-induced transformation results in a characteristic decrease of the vibrational lifetime (T1) of excited interfacial O–H stretching modes frommore » T1 ~ 600 fs to T1 ~ 250 fs. Hence, we propose that the T1 determined by TR-vSFG in combination with DFT-MD simulations can be widely used for a quantitative spectroscopic probe of the ion kosmotropic/chaotropic effect at aqueous interfaces as well as of the ion-induced surface hydrophobicity.« less

Authors:
ORCiD logo [1];  [2];  [3];  [3];  [3]; ORCiD logo [3]; ORCiD logo [2]
  1. Temple Univ., Philadelphia, PA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Temple Univ., Philadelphia, PA (United States)
  3. Univ. Paris-Saclay, Evry (France)
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1617295
Report Number(s):
PNNL-SA-140244
Journal ID: ISSN 0002-7863
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Journal of the American Chemical Society
Additional Journal Information:
Journal Volume: 142; Journal Issue: 15; Journal ID: ISSN 0002-7863
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Interfaces; Layers; Silica; Molecules; Ions

Citation Formats

Tuladhar, Aashish, Dewan, Shalaka, Pezzotti, Simone, Brigiano, Flavio Siro, Creazzo, Fabrizio, Gaigeot, Marie-Pierre, and Borguet, Eric. Ions Tune Interfacial Water Structure and Modulate Hydrophobic Interactions at Silica Surfaces. United States: N. p., 2020. Web. doi:10.1021/jacs.9b13273.
Tuladhar, Aashish, Dewan, Shalaka, Pezzotti, Simone, Brigiano, Flavio Siro, Creazzo, Fabrizio, Gaigeot, Marie-Pierre, & Borguet, Eric. Ions Tune Interfacial Water Structure and Modulate Hydrophobic Interactions at Silica Surfaces. United States. https://doi.org/10.1021/jacs.9b13273
Tuladhar, Aashish, Dewan, Shalaka, Pezzotti, Simone, Brigiano, Flavio Siro, Creazzo, Fabrizio, Gaigeot, Marie-Pierre, and Borguet, Eric. Wed . "Ions Tune Interfacial Water Structure and Modulate Hydrophobic Interactions at Silica Surfaces". United States. https://doi.org/10.1021/jacs.9b13273. https://www.osti.gov/servlets/purl/1617295.
@article{osti_1617295,
title = {Ions Tune Interfacial Water Structure and Modulate Hydrophobic Interactions at Silica Surfaces},
author = {Tuladhar, Aashish and Dewan, Shalaka and Pezzotti, Simone and Brigiano, Flavio Siro and Creazzo, Fabrizio and Gaigeot, Marie-Pierre and Borguet, Eric},
abstractNote = {The structure and ultrafast dynamics of the electric double layer (EDL) are central to chemical reactivity and physical properties at solid/aqueous interfaces. While the Gouy–Chapman–Stern model is widely used to describe EDLs, it is solely based on the macroscopic electrostatic attraction of electrolytes for the charged surfaces. Structure and dynamics in the Stern layer are, however, more complex because of competing effects due to the localized surface charge distribution, surface–solvent–ion correlations, and the interfacial hydrogen bonding environment. Here, we report combined time-resolved vibrational sum frequency generation (TR-vSFG) spectroscopy with ab initio DFT-based molecular dynamics simulations (AIMD/DFT-MD) to get direct access to the molecular-level understanding of how ions change the structure and dynamics of the EDL. We show that innersphere adsorbed ions tune the hydrophobicity of the silica–aqueous interface by shifting the structural makeup in the Stern layer from dominant water–surface interactions to water–water interactions. This drives an initially inhomogeneous interfacial water coordination landscape observed at the neat interface toward a homogeneous, highly interconnected in-plane 2D hydrogen bonding (2D-HB) network at the ionic interface, reminiscent of the canonical, hydrophobic air–water interface. This ion-induced transformation results in a characteristic decrease of the vibrational lifetime (T1) of excited interfacial O–H stretching modes from T1 ~ 600 fs to T1 ~ 250 fs. Hence, we propose that the T1 determined by TR-vSFG in combination with DFT-MD simulations can be widely used for a quantitative spectroscopic probe of the ion kosmotropic/chaotropic effect at aqueous interfaces as well as of the ion-induced surface hydrophobicity.},
doi = {10.1021/jacs.9b13273},
journal = {Journal of the American Chemical Society},
number = 15,
volume = 142,
place = {United States},
year = {Wed Apr 01 00:00:00 EDT 2020},
month = {Wed Apr 01 00:00:00 EDT 2020}
}

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Works referencing / citing this record:

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