The spectroscopic
quantification of mixture compositions usually
requires pure compounds and mixtures of known compositions for calibration.
Since they are not always available, methods to fill such gaps have
evolved, which are, however, not generally applicable. Therefore,
calibration can be extremely challenging, especially when multiple
unstable species, for example, intermediates, exist in a system. This
study presents a new calibration approach that uses ab initio molecular dynamics (AIMD)-simulated spectra to set up and calibrate
models for the physics-based spectral analysis method indirect hard
modeling (IHM). To demonstrate our approach called AIMD–IHM,
we analyze Raman spectra of ternary hydrogen-bonding mixtures of acetone,
methanol, and ethanol. The derived AIMD–IHM pure-component
models and calibration coefficients are in good agreement with conventionally
generated experimental results. The method yields compositions with
prediction errors of less than 5% without any experimental calibration
input. Our approach can be extended, in principle, to infrared and
NMR spectroscopy and allows for the analysis of systems that were
hitherto inaccessible to quantitative spectroscopic analysis.