PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 14, 2026The Journal of Chemical Physics0 citations

Branched hydrogen-bond motifs as quantitative signatures of the structure and dynamics of liquid alcohols

View Full Paper
YWYongtao WANGXZXi ZhangYZY. Z. Zhang

Key Points

  • The aim is to define the role of branched hydrogen-bond motifs in shaping the structure and dynamics of liquid alcohols.
  • Identified branched O2H1 centers in hydroxyl-containing liquids.
  • Used near-infrared spectroscopy to distinguish OH species in hexanol isomers.
  • Conducted molecular dynamics simulations to explore network topology and dynamics.
  • O2H1 absorptions were found near 6250 cm−1 for diverse hexanol isomers.
  • 1-hexanol displayed a flexible network with 12% O2H1 centers; 3-hexanol showed 4% O2H1 and ordered networks.
  • The O2H1 fraction influenced CuCl2 solubility and ion transport in alcohols.

Abstract

Hydrogen-bond (H-bond) networks dictate the self-assembly, dynamics, and macroscopic behavior of hydroxyl-containing liquids, yet their molecular determinants remain poorly defined. Here, we identify branched O2H1 centers (hydroxyl sites accepting two and donating one H-bonds) as key structural motifs that define H-bond network diversity in alcohols. Near-infrared spectroscopy, supported by theoretical analysis, quantitatively distinguishes OH species in three hexanol isomers, revealing characteristic O2H1 absorptions near 6250 cm−1. Molecular dynamics simulations link the O2H1 content to network topology and reorientation dynamics, where linear 1-hexanol forms disordered, flexible networks rich in O2H1 centers (12%), whereas 3-hexanol, with fewer O2H1 sites (4%), exhibits ordered, chain-like networks with longer H-bond lifetimes. The O2H1 fraction also modulates CuCl2 solubility and ion transport, establishing a direct molecular-level connection between H-bond motifs and the macroscopic functionality of alcohol-included liquids.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

WANG et al. (2026) studied this question.

synapsesocial.com/papers/699011032ccff479cfe57702https://doi.org/10.1063/5.0313941
Ask AI
Helpful
Bookmark
Share
View Full Paper