2007
DOI: 10.1016/j.procbio.2007.08.008
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A laboratory study of producing docosahexaenoic acid from biodiesel-waste glycerol by microalgal fermentation

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Cited by 333 publications
(194 citation statements)
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“…The closest species genetically to those studied in this work are Rhodotorula and Rhodosporidium (97%), both characterized as lipid and carotenoid producers (Saenge et al 2011, Freitas et al 2014. A more distant similarity (81%) was found with species of the Thraustochytriaceae family, characterized by high levels of DHA production (Chi et al 2007). The strains C22, C24, C30, C3 and C36 share the same cluster with Rhodotorula sp.…”
Section: Discussionmentioning
confidence: 52%
See 1 more Smart Citation
“…The closest species genetically to those studied in this work are Rhodotorula and Rhodosporidium (97%), both characterized as lipid and carotenoid producers (Saenge et al 2011, Freitas et al 2014. A more distant similarity (81%) was found with species of the Thraustochytriaceae family, characterized by high levels of DHA production (Chi et al 2007). The strains C22, C24, C30, C3 and C36 share the same cluster with Rhodotorula sp.…”
Section: Discussionmentioning
confidence: 52%
“…The strains C36 and C22 for their high DHA concentrations, which were higher than what is described in the literature (Bajpai et al 1991, Burja et al 2006, Yamasaki et al 2006, Chi et al 2007. Rhodosporidium toruloides and Rhodotorula glutinis produce around 70 and 33.7% of total lipids in dry weight, respectively.…”
Section: Discussionmentioning
confidence: 73%
“…Control of nitrogen source availability is a well-documented form of manipulation (Flynn et al 1992;Navarro-Angulo & Robledo 1999). In some instances, using microalgal heterotrophic potential has been shown to be of value (Xu et al 2006;Chi et al 2007); microalgae are useful within some fermentation systems because, being photosynthetic, they have unique biochemical pathways not present in non-carbon fixing organisms. Our understanding, and hence our ability, to model the commercial viability of such approaches is weak.…”
Section: Optimization Of Microalgal Growth and Production Of Specificmentioning
confidence: 99%
“…Response surface methodology is an approach that combines various statistical and mathematical techniques, and is useful for developing, improving and optimizing a process [11,15]. There are many applications of response surface methodology related to optimization of the composition of the growth media for microalgal growth [15][16][17].…”
Section: Introductionmentioning
confidence: 99%