Energy efficient inactivation of Saccharomyces cerevisiae via controlled hydrodynamic cavitation (Articolo in rivista)

Type
Label
  • Energy efficient inactivation of Saccharomyces cerevisiae via controlled hydrodynamic cavitation (Articolo in rivista) (literal)
Anno
  • 2015-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1002/ese3.62 (literal)
Alternative label
  • Lorenzo Albanese Rosaria Ciriminna Francesco Meneguzzo Mario Pagliaro (2015)
    Energy efficient inactivation of Saccharomyces cerevisiae via controlled hydrodynamic cavitation
    in Energy Science & Engineering
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Lorenzo Albanese Rosaria Ciriminna Francesco Meneguzzo Mario Pagliaro (literal)
Rivista
Note
  • Google Scholar (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Biometeorologia, CNR, Firenze, Italy Istituto per lo Studio dei Materiali Nanostrutturati, CNR, Palermo, Italy Istituto di Biometeorologia, CNR, Firenze, Italy Istituto per lo Studio dei Materiali Nanostrutturati, CNR, Palermo, Italy (literal)
Titolo
  • Energy efficient inactivation of Saccharomyces cerevisiae via controlled hydrodynamic cavitation (literal)
Abstract
  • We investigate hydrodynamic cavitation to inactivate commonly employed Saccharomyces cerevisiae yeast strains in an aqueous solution using different reactors and hydraulic circuit selected to demonstrate the process feasibility on the industrial scale. The target to achieve an useful lethality of the yeast at lower temperature when compared with standard thermal and even with other cavitation processes was achieved, with 90% yeast strains lethality at lower temperature (6.3-9.5°C), and about 20% lower energy input. A separate model simulating the combined thermal and cavitational effects on yeast lethality allows to accommodate the data into a comprehensive framework providing a tool to design further targeted experiments and to predict results when changing the process parameters. (literal)
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