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KMID : 0043319870100010001
Archives of Pharmacal Research
1987 Volume.10 No. 1 p.1 ~ p.8
Quantitative Analysis by Derivative Spectrophotometry (II). Derivative spectrophotometry and methods for the reduction of high frequency noises
Park MK
Cho JH
Abstract
One of the problems of derivative spectrophotometry, the decrease of signal-to-noise ratio by derivative operations, was solved by three concepts of digital filtering, ensemble averaging, least squares polynomial smoothing and Fourier smoothing. The authors made several computer programs written in APPLE SOFT BASIC language for the actual applications of the concepts of these digital filters on UV spectrophotometer system. As a result, ensemble averaging could not be used as a routine operation for the spectrophotometer used. The maximum S/N ratio enhancement factors achieved by least squares polynomial smoothing were 6.17 and 7.47 for the spectra of Gaussian and Lorentzian distribution models, and by Fourier smoothing, 16.42 and 11.78 for the spectra of two models, respectively.
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