Abstract
The feature of resolution enhancement by derivative operation is linked to one of the multivariate analysis, which is multiple linear regression with two options, allpossible and stepwise regression. Examined samples were synthetic mixtures of 5 vitamins, thiamine mononitrate, riboflavin phosphate, nicotinamide, pyridoxine hydrochloride and ascorbic acid. All components in mixture were quantified with reasonably good accuracy and precision. Whole data processing procedure was accomplished on-line by the development of three computer programs written in APPLESOFT BASIC language.
Similar content being viewed by others
Literature Cited
Park, M.K., Cho, Y.H., and Cho, J.H.: Quantitative analysis by derivative spectrophotometry (I): Simultaneous quantitation of pyridoxine HCl and nicotinamide in the mixture. Yakhak Hoeji,30, 185 (1986).
Park, M.K., and Cho, J.H.: Quantitative Analysis by Derivative Spectrophotometry (II): Derivative Spectrophotometry and Methods for the Reduction of High Frequency Noises.Arch. Pharm. Res.,10, 1 (1987).
Park, M.K., Cho, J.H., and Park, Y.H.: Qualitative Analysis by Derivative UV Spectrophotometry (I): Identification of Penicillins and Cephalosporins. SNUJ. Pharm. Sci., in press (1987).
Sternberg, J.C., Stillo, H.S., and Schwendeman, R.H.: Spectrophotometric Analysis of Multicomponent Systems Using the Least Squares Method in Matrix Form: The Ergosterol Irradiation System.Anal. Chem.,32, 84 (1960).
Barnett, H.A., and Bartoli, A.: Least-Squares Treatment of Spectrometric Data.Anal. Chem.,32, 1153 (1960).
Brown, C.W., Lynch, P.F., Obremski, R.J., and Lavery, D.S.: Matrix Representations and Criteria for Selecting Analytical Wavelengths for Multicomponent Spectroscopic Analysis.Anal. Chem.,54, 1472 (1982).
Kisner, H.J., Brown, C.W., and Kavarnos, G.J.: Simultaneous Determination of Triglycerides, Phospholipids, and Cholesteryl Esters by Infrared Spectrometry.Anal. Chem.,54, 1479 (1982).
Kisner, H.J., Brown, C.W., and Kavarnos, G.J.: Multiple Analytical Frequencies and Standards for the Least-Squares Spectrometric Analysis of Serum Lipids.Anal. Chem.,55, 1703 (1983).
Haaland, D.M., Easterling, R.G., and Vopicka, D.A.: Multivariate Least Squares Methods Applied to the Quantitative Spectral Analysis of Multicomponent Samples.Appl. Spectro.,39, 73 (1985).
Birth, G.S.: Evaluation of Correlation Coefficients Obtained with a Stepwise Regression Analysis.Appl. Spectro.,39, 729 (1985).
Burkhard, L.P., and Weininger, D.: Determination of Polychlorinated Biphenyls Using Multiple Regression with Outlier Detection and Elimination.Anal. Chem.,59, 1187 (1987).
Beebe, K.R., and Kowalski, B.R.: An Introduction to Multivariate Calibration and Analysis.Anal. Chem.,59, 1007A (1987).
Blackburn, J.A.: Computer Program for Multicomponent Spectrum Analysis Using Least-Squares Method.Anal. Chem.,37, 1000 (1965).
Macnaughtan, D., Jr., Rogers, L.B., and Wernimont, G.: Principal-Component Analysis Applied to Chromatographic Data.Anal. Chem.,44, 1421 (1972).
Ohta, N.: Estimating Absorption Bands of Component Dyes by Means of Principal-Component Analysis.Anal. Chem.,45, 553 (1973).
Warner, I.M., Christian, G.D., Davidson, E.R., and Callis, J.B.: Analysis of Multicomponent Fluorescence Data.Anal. Chem.,49, 564 (1977).
Painter, P.C., Rimmer, S.M., Snyder, R.W., and Davis, A.: A Fourier Transform Infrared Study of Mineral Matter in Coal: The Application of a Least Squares Curve-Fitting Program.Appl. Spectro.,35, 102 (1981).
Sharaf, M.A., and Kowalski, B.R.: Quantitative Resolution of Fused Chromatographic Peaks in Gas Chromatography/Mass Spectrometry.Anal. Chem.,54, 1291 (1982).
Sasaki, K., Kawata, S., and Minami, S.: Constrained Nonlinear Method for Estimating Component Spectra from Multicomponent Mixtures.Appl. Opt.,22, 3599 (1983).
Hemel, J.B., van der Voet, H., Hindriks, F.R., and van der Slik, W.: Stepwise Deletion: A Technique for Missing-Data Handling in Multivariate Analysis.Anal. Chim. Acta,193, 255 (1987).
Rutan, S.C., and Motley, C.B.: Factor Analysis and Kalman Filter Studies of Severely Overlapped Amino Acid Derivatives in Thin-Layer Chromatography.Anal. Chem.,59, 2045 (1987).
Robert, P., Bertrand, D., Devaux, M.F., and Grappin, R.: Multivariate Analysis Applied to Near-Infrared Spectra of Milk.Anal. Chem.,59, 2187 (1987).
Friedrich, H.R., and Yu, J.P.: Combinations of Orthogonal Spectra to Estimate Component Spectra in Multicomponent Mixture.Appl. Spectro.,41, 227 (1987).
Lindberg, W., Persson, J.A., and Wold, S.: partial Least-Squares Method for Spectrofluorimetric Analysis of Mixtures of Humic Acid and Ligninsulfonate.Anal. Chem.,55, 643 (1983).
Frank, I.E., Kalivas, J.H., and Kowalski, B.R.: Partial Least Squares Solutions for Multicomponent Analysis.Anal. Chem.,55, 643 (1983).
Ho, C.N., Christian, G.D., and Davidson, E.R.: Application of the Method of Rank Annihilation to Fluorescent Multicomponent Mixtures of Polynuclear Aromatic Hydrocarbons.Anal. Chem.,52, 1071 (1980).
Gampp, H., Maeder, M., Meyer, C.J., and Zuberbuehler, A.D.: Quantification of a known Component in an Unknown Mixture.Anal. Chim. Acta,193, 287 (1987).
Phillips, G.R., and Eyring, E.M.: Comparison of Conventional and Robust Regression in Analysis of Chemical Data.Anal. Chem.,55, 1134 (1983).
Maris, M.A., Brown, C.W., and Lavery, D.S.: Nonlinear Multicomponent Analysis by Infrared Spectrophotometry.Anal. Chem.,55, 1694 (1983).
De Levie, R.: When, Why, and How to Use Weighted Least Squares.J. Chem. Educ.,63(1), 10 (1986).
Wolfe, P.M., and Koeling, C.P.: “BASIC Engineering and Scientific Programs.” A Prentice-Hall publishing and Communications Company, 71 (1983).
Draper, N.R., and Smith, H.: “Applied Regression Analysis”. 2nd ed. John Wiley&Sons, Inc., New York (1981).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Park, M., Cho, J. Quantitative analysis by derivative spectrophotometry (III)—Simultaneous quantitation of vitamin B group and vitamin C in by multiple linear regression analysis—. Arch. Pharm. Res. 11, 45–51 (1988). https://doi.org/10.1007/BF02884767
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02884767