Polynomial representation of digital spectrophotometric data of amino acids and proteins

It is proposed that experimentally observed spectra of proteins and amino acids be fitted with series of Chebychev polynomials. Such fitted curves are particularly useful in generating noise-free first- and second-derivative spectra. Examples of difference spectra produced from a family of spectra are also given.