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Tytuł artykułu

Application of a Bayesian estimator for identification of edible oils on the basis of spectrophotometric data

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Spectrophotometric analysis of oil mixtures, containing olive oil, is the subject of this paper. Its objective is to compare a new Bayesian estimator with the constrained least-squares estimator, when applied for estimation of concentrations of components of edible oil mixtures, and to assess its applicability for solving problems of industrial monitoring. The comparison is based on the use of semi-synthetic NIR spectrophotometric data and criteria related to measurement uncertainty.
Rocznik
Strony
247--266
Opis fizyczny
Bibliogr. 9 poz., rys., tab., wykr.
Twórcy
  • Warsaw University of Technology, Faculty of Electrnics and Information Technlogy, Institute of Radioelectronics, Warsaw, Poland, r.morawski@ire.pw.edu.pl
Bibliografia
  • 1. Tay A., Singh R. K., Krishnan S. S., Gore J. P.: “Authentication of Olive Oil Adulterated with Vegetable Oils Using Fourier Transform Infrared Spectroscopy”, Lebensm.-Wiss. u.-Technol., vol. 35, 2002, pp. 99-103.
  • 2. Christy A., Kasemusumran S., Du Y., Ozaki Y.: “The Detection and Quantification of Adulteration in Olive oil by Near-Infrared Spectroscopy and Chemometrics”, Anal. Sci., vol. 20, June 2004, pp. 935-940.
  • 3. Armenta S., Garrigues S., de la Guardia M.: “Determination of Edible Oil Parameters by Near Infrared Spectrometry”, Anal. Chim. Acta, vol. 596, 2007, pp. 330-337.
  • 4. Özdemir D., Öztürk B.: “Near Infrared Spectroscopic Determination of Olive Oil Adulteration with Sunflower and Corn Oil”, J. Food & Drug Anal., vol. 15, no. 1, 2007, pp. 40-47.
  • 5. Sinelli N., Casiraghi E., Tura D., Downey G.: “Characterization and Classification of Italian Virgin Olive Oils by Near and Medium Infrared Spectroscopy”, Proc. 13th Int. Conf. Near Infrared Spectroscopy (Umeå-Vasa, Sweden & Finland, June 15-21, 2007, paper 4-6.
  • 6. Niedziński C.: Bayesian Method for Estimation of Concentrations in Spectrophotometric Analysis of Multicomponent Substances, Ph.D. Thesis completed at the Faculty of Electronics and Information Technology, Warsaw University of Technology (advisor: R. Z. Morawski), December 2007 (in Polish).
  • 7. Wiśniewski M., Morawski R. Z., Barwicz A.: “Modeling the Spectrometric Microtransducer”, IEEE T. Instrum. Meas., June 1999, vol. 48, no. 3, pp. 747-752.
  • 8. Leonard T., Hsu J. S. J: Bayesian Methods. Cambridge University Press 1999.
  • 9. http://tomopt.com/tomlab/ [as of July 2008].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0048-0001
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