Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5405954 | Journal of Magnetic Resonance | 2012 | 7 Pages |
A data modeling and processing method for electron paramagnetic resonance (EPR)-based pH spectroscopy is presented. The proposed method models the EPR spectrum of a pH-sensitive probe in both protonated and unprotonated forms. Under slow-exchange conditions, the EPR spectrum of a sample with an unknown pH value can be accurately represented by a weighted sum of the two models, with the pH value completely determined by their relative weights. Unlike traditional pH spectroscopy, which relies on locating resonance peaks, the proposed modeling-based approach utilizes the information from the entire scan and hence leads to more accurate estimation of pH for a given acquisition time. By employing the proposed methodology, we expect a reduction in the pH estimation error by more than a factor of three, which represents an order of magnitude reduction in acquisition time compared to the traditional method.
Graphical abstractDownload high-res image (88KB)Download full-size imageHighlights⺠A data modeling and processing method for EPR-based pH spectroscopy is presented. ⺠The method is based on parametric modeling of EPR spectra under slow-exchange conditions. ⺠The proposed method offers an order of magnitude reduction in acquisition time. ⺠For validation, L-band spectroscopy studies are reported.