A simple mathematical procedure - fine-structure enhancement - has been ass
essed on its ability to resolve overlapping bands in spectra. Its advantage
s and limitations have been explored using synthetic and experimental spect
ra. Fine-structure enhancement involves smoothing the original spectrum, mu
ltiplying the smoothed spectrum with a weighting factor and subtracting thi
s spectrum from the original spectrum. As a result, the fine-structure of t
he original spectrum is enhanced in the processed spectrum and bands that o
verlap in the original spectrum appear as distinct bands in the processed s
pectrum. To be resolved by fine-structure enhancement, Lorentzian lines hav
e to be separated by more than their quarter width at half maximum, Gaussia
n lines by more than their half width at half maximum. A comparison of fine
-structure enhancement and Fourier self-deconvolution shows that Fourier se
lf-de convolution has in theory a higher potential to resolve overlapping b
ands. However, this depends crucially on the correct choice of the paramete
rs. In practice, when parameters commonly used are chosen for Fourier self-
deconvolution, fine-structure enhancement leads to similar results. This is
demonstrated at the example of the infrared absorbance spectrum of the pro
tein papain, where the amide I band components could be resolved similarly
with both methods. Thus, fine-structure enhancement seems to be a simple al
ternative to Fourier self-deconvolution that does not require specialised s
oftware. (C) 2000 Elsevier Science B.V. All rights reserved.