Quantification of H2O2 concentrations in aqueous solutions by means of combined NMR and pH measurements

Literature Information

Publication Date 2010-08-31
DOI 10.1039/C0CP00330A
Impact Factor 3.676
Authors

Lisandro Buljubasich, Bernhard Blümich, Siegfried Stapf


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Abstract

The NMR transverse relaxation time T2, determined by a CPMG multipulse sequence, of aqueous hydrogen peroxide (H2O2) solutions strongly depends on the rate of exchange of the spin-bearing protons between the H2O2 and H2O molecules. For pulse separations exceeding the inverse exchange rate, this value becomes a constant only depending on proton exchange time and magnetic field strength. Since this exchange time depends in a non-analytical way on the concentration of H2O2 and on the pH value, a measurement of T2 and pH allows the inversion of the data for the non-invasive determination of the H2O2 concentration. The generation of calibration data for a range of concentrations and pH values is presented and is applied to a heterogeneously catalyzed H2O2 decomposition involving commercial catalyst pellets. The evolution of the concentration during the course of reactions is monitored and the long-time deactivation of the pellet is demonstrated using this technique. The method is suggested as a means for contact-free and non-invasive on-line monitoring of H2O2 concentrations.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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