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Paul F. Greenfield
Researcher at University of Queensland
Publications - 156
Citations - 9086
Paul F. Greenfield is an academic researcher from University of Queensland. The author has contributed to research in topics: Fermentation & Oil shale. The author has an hindex of 39, co-authored 156 publications receiving 8559 citations. Previous affiliations of Paul F. Greenfield include Hong Kong University of Science and Technology.
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Enhanced ethanol production in multiple batch fermentations with an auto-flocculating yeast strain
TL;DR: In this paper, an auto-flocculating strain of S. cerevisiae was used to carry out multiple batch fermentations at high cell concentrations to produce ethanol using glucose, sucrose or sugar cane juice as carbon source.
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Avoiding rapid growth at high cell densities: a potentially important optimisation criterion for hybridoma cultures.
TL;DR: Evidence of similar effects occurring during the normal span of continuous cultures fed enriched medium at low dilution rates (0.002–0.005 1/h) is presented and the effect of this observation on optimisation is discussed.
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Weaning of three hybridoma cell lines to serum free low protein medium.
TL;DR: A general weaning procedure is described which allowed a range of hybridomas to be weaned readily off serum without loss of antibody production and has been successfully adopted in the laboratory by relatively inexperienced cell culture technicians.
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Optimal feeding policy for recombinant protein production via the yeast saccharomyces cerevisiae in fed-batch culture
TL;DR: Optimisation of the glucose feed rate and feed concentration for the production of a recombinant protein (β-galactosidase) with respect to two different objective functions is addressed in this work.
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Selecting R&D projects for technology-based innovation: Knowledge management in the face of embarras de choix
TL;DR: In this paper, the authors propose a heuristic framework which respects both the constraint imposed by decision costs and the principle that to optimise the use of knowledge as many as possible of the results from the literature should enter into the firm's decision-information shortlist.