Abstract
Ultrasonic irradiation holds potential for the selective oxidation of non-volatile organic substrates in the aqueous phase by harnessing hydroxyl radicals as chemical initiators. Here, a mechanistic description of hydroxyl radical-initiated glyoxal oxidation is constructed by gleaning insights from photolysis and radiation chemistry to explain the yields and kinetic trends for oxidation products. The mechanistic description and kinetic measurements reported herein reveal that increasing the formation rate of hydroxyl radicals by changing the ultrasound frequency increases both the rates of glyoxal consumption and the selectivity towards C2 acid products over those from C-C cleavage. Glyoxal consumption also occurs more rapidly and with greater selectivity towards C2 acids under acidic conditions, which favor the protonation of carboxylate intermediates into their less reactive acidic forms. Leveraging such pH and frequency effects is crucial to mitigating product degradation by secondary reactions with hydroxyl radicals and oxidation products (specifically H2O2 and •O2–). These findings demonstrate the potential of ultrasound as a driver for the selective oxidation of aldehyde functions to carboxylic acids, offering a sustainable route for converting biomass-derived platform molecules into valuable products.
Supplementary materials
Title
Document S1
Description
Supplemental experimental and computational results, supplemental discussion, Sections S1-S11, Figures S1-S13, Tables S1-S6, Equations S1-S4, and supplemental references.
Actions
Supplementary weblinks
Title
Code and data repository
Description
The datasets and original codes generated during this study. These include: DFT output files for stationary points needed to generate kinetic and thermodynamic parameters, for the basis set convergence test, and for and additional calculations reported; the Jupyter notebook and dependences to generate the input files for microkinetic model implemented in MATLAB and outputs at LFUS (20 kHz) and HFUS (580 kHz); the microkinetic model implemented in MATLAB for generating reaction rates and trends; the kinetic and thermodynamic coefficients evaluated at 315 K and 325 K and inputs to MKM model; and the python code for calculating van der Waals volumes.
Actions
View