Precise knowledge of the molar absorption spectra of redox (ionic) states is fundamental to understanding their electronic structures and to advancing quantitative models of charge-transfer and excitation processes. However, many redox species are intrinsically unstable, spontaneously reverting to their initial forms, thereby preventing direct spectroscopic isolation and challenging accurate determination of their molar absorption coefficients. Here, we develop a quantitative spectroelectrochemical framework that combines constraint-based multivariate curve resolution (MCR) with finite-difference simulations of thin-layer electrolysis coupled to nonlinear homogeneous back reactions. This integrated approach defines the physically feasible spectral domain, enables yield-corrected extraction of pure ionic spectra, and provides a self-consistent route to absolute molar absorption coefficients for otherwise inaccessible redox states. Validation through numerical simulations and experimentally measured thin-layer spectra demonstrates that the method achieves high quantitative accuracy in systems where conventional spectroelectrochemical or MCR approaches fail. Beyond improving data reliability, the framework supplies benchmark optical constants that strengthen connections between experiment and electronic-structure theory and support rational design in electrochromic, conducting-polymer, and energy-conversion systems.
Wang et al. (Mon,) studied this question.