CONTROL AND OPERATIONS MANAGEMENT OF EXTRACTION PROCESS IN INDUSTRIAL BIOTECHNOLOGY OF BETA-CAROTINE FROM BLAKESLEA TRISPORA

Abstract

The technological parameters, namely temperature and duration of β-carotene extraction process from the biomass of filamentous fungus Blakeslea trispora with vegetable oils of various fatty acid compositions and with various contents of natural antioxidants (refined deodorized sunflower, viso-oleic sunflower, corn and sesame) have been investigated. Statistical models of dependences of β-carotene, as well as analytical numbers, characterizing the content of free fatty acids (acid number) and primary products of lipid oxidation (peroxide number) content, in oil extracts of the specified refined deodorized oils, from temperature and extraction duration have been built.
 Rational parameters of β-carotene extraction from Blakeslea trispora biomass with selected extractants (refined deodorized sunflower, high oleic sunflower, corn and sesame oils) have been determined for the extracts technological properties control. It has been proven that the use of these refined deodorized oils as extractants practically does not affect the content of the target product in oil extracts of biomass, but it does affect the analytical numbers of extracts characterizing the content of free fatty acids, peroxides and hydroperoxides. The highest content of free fatty acids in β-carotene containing biomass extraction with sunflower oil has been observed. The minimum content of free fatty acids in extracts with corn and sesame oils using has been be achieved. The highest content of primary products of lipid oxidation (peroxides and hydroperoxides) during β-carotene containing biomass extraction by sunflower oil has been observed. The minimum content of free fatty acids in extracts with sesame oil using has been achieved.
 It is possible to predict β-carotene content, as well as acid and peroxide numbers of oil extracts from biomass in specified refined deodorized oils, depending on temperature and extraction process duration using the obtained approximation dependences.