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Applying stochastic analysis of experimental data to optimize the bioactive compounds extraction from agro-food industry waste

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dc.contributor.author GHENDOV-MOSANU, A. A.
dc.contributor.author STURZA, R. A.
dc.contributor.author CHERECHES, T. D.
dc.date.accessioned 2020-11-03T12:23:59Z
dc.date.available 2020-11-03T12:23:59Z
dc.date.issued 2018
dc.identifier.citation GHENDOV-MOSANU, A. A. , STURZA, R. A., CHERECHES, T. D. Applying stochastic analysis of experimental data to optimize the bioactive compounds extraction from agro-food industry waste. In: CAIM 2018: The 26th Conference on Applied and Industrial Mathematics: Book of Abstracts, Technical University of Moldova, September 20-23, 2018. Chişinău: Bons Offices, 2018, pp. 48-49. en_US
dc.identifier.uri http://repository.utm.md/handle/5014/11026
dc.description Only Abstract en_US
dc.description.abstract Experimental research focused on 6 products (bioactive compounds extracts from forest fruits and agro-food industry waste) and a maximum of 9 experimental parameters determined. The purpose of applying the stochastic analysis was to establish predictive elements, which allow good data interpolation, ensure the greatest credibility of the experimental results, including the values of factors of influence on the extraction process (concentration of ethyl alcohol, hydromodule, duration and temperature extraction, pulse number, field intensity, voltage) not found experimentally, as well as the determination of the most pronounced and the weakest interdependences of the measured parameters. en_US
dc.language.iso en en_US
dc.publisher Bons Offices en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject bioactive compounds extracts en_US
dc.subject stochastic analysis en_US
dc.subject agro-food industry waste en_US
dc.subject extraction process en_US
dc.subject experimental results en_US
dc.title Applying stochastic analysis of experimental data to optimize the bioactive compounds extraction from agro-food industry waste en_US
dc.type Article en_US


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