Using an iterative linear least-squares algorithm it is possible to selectively subtract known spectral components from a mixture in an automated procedure. The proposed approach circumvents the subjective decisions encountered with interactive real-time graphics programs and enables simultaneous removal and/or optimization of scaling coefficients of multiple known pure components in order to yield the difference spectrum.
AndersonR. J. and GriffithsP. R., Anal. Chem.47, 2339 (1975).
2.
AndersonR. J. and GriffithsP. R., Anal. Chem.50, 1804 (1978).
3.
RaboltJ. F. and BellarR., Appl. Spectrosc.35, 132 (1981).
4.
HirschfeldT., Appl. Spectrosc.30, 549 (1976).
5.
HirschfeldT. and CodyC., Appl. Spectrosc.31, 551 (1977).
6.
HirschfeldT. in Fourier Transform Infrared Spectroscopy: Applications to Chemical Systems, FerraroJ. R. and BasileL. J., Eds. (Academic Press, New York, 1979), pp. 193–242.
7.
AntoonM. K.KoenigJ. H., and KoenigJ. L., Appl. Spectrosc.31, 518 (1977).
8.
HaalandD. M. and EasterlingR. G., Appl. Spectrosc.34, 539 (1980).
9.
AntoonM. K.D'EspositoL., and KoenigJ. L., Appl. Spectrosc.33, 351 (1979).
10.
GilletteP. C. and KoenigJ. L., Appl. Spectrosc.36, 535 (1982).
11.
GilletteP. C.LandoJ. B., and KoenigJ. L., Anal. Chem.55, 630 (1983).
12.
KoenigJ. L. and KormosD., Appl. Spectrosc.33, 349 (1979).
13.
GilletteP. C.LandoJ. B., and KoenigJ. L., Appl. Spectrosc.36, 661 (1982).