Izvestiya of Saratov University.
ISSN 1816-9775 (Print)
ISSN 2541-8971 (Online)


principal component analysis

Multivariate principal component analysis of beer quality with addition of triticale grain and malt

Expanding the beer assortment by partially replacing barley malt with new types of raw materials based on grain crops is a promising direction for the industry development. A promising grain crop that can partially replace barley malt is triticale. The aim of the work is to study the possibility of using triticale grain and malt for partial replacement of barley malt in beer production and to evaluate the eff ect of this raw material on the physicochemical and organoleptic quality indicators using the principal component analysis (PCA).

The identification of cephalosporins antibiotics using IR spectroscopy and chemometric algorithms

The use of mid-fi eld infrared spectroscopy in combination with chemometric algorithms for the identifi cation of cephalosporin antibiotics in the form of injectable powders is demonstrated. III generation cephalosporins have been selected as objects of the study: ceftriaxone, ceftazidime, cefotaxime, which are widely used in pharmaceutical practice. IR spectra of the medical preparations have been recorded using an FT-801 Fourier transform IR spectrometer with an attenuated total refl ection (ATR) attachment.

Identification of Oils from Samara Region Using Principal Component Analysis and Factor Discriminant Analysis

Development of methods for identification of oils is of high priority in oil industry. The following parameters for 2963 oil samples from five oilfields in the Samara region were determined: density, fraction yield at 200 °C and 300 °C, the mass fraction of sulfur, hydrogen sulphide, methyl and ethyl mercaptan, the mass concentration of chloride salts, the saturated vapor pressure. The matrix of experi- mental data was analyzed using principal component analysis (PCA) and factorial discriminant analysis (FDA) methods.