Photobioreactors: light regime, mass transfer, and scaleup

Grima, E. Molina; Fernández, Francisco Gabriel Acién; Camacho, F. Garcı́a; Chisti, Yusuf

doi:10.1016/s0168-1656(99)00078-4

Cited by 448 publications

(145 citation statements)

References 29 publications

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“…More important for applications in biotechnology, however, are assessments of total biomass production and distribution of carbon and nitrogen into different metabolic compartments. Although our study did not aim at optimizing parameters for biofuel production, our results suggest that reduced nitrogen contents in media may increase fatty acid biosynthesis while maintaining cellular growth (92), potentially even in high density fermentations (93) and continuous cultures with constant lower input levels of nitrogen source (94). For economic feasibility of algae growth in biofuel productions, ideally, higher levels of lipid production as in early exponential growth stages under nitrogen limitation should be combined with high protein turnover and an overall minimal protein content, potentially with an increase in total polysaccharide pools that could serve as additional input for fermentable sugars (95).…”

Section: Discussionmentioning

confidence: 92%

System Response of Metabolic Networks in Chlamydomonas reinhardtii to Total Available Ammonium

Lee

Park

Barupal

et al. 2012

Molecular & Cellular Proteomics

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Section: Discussionmentioning

confidence: 92%

System Response of Metabolic Networks in Chlamydomonas reinhardtii to Total Available Ammonium

Lee

Park

Barupal

et al. 2012

Molecular & Cellular Proteomics

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“…As a consequence, cells are exposed to light/dark cycles at high light intensities close to the reactor surface and dark zones in the inside of the photobioreactor. 11 Cultivations of A. platensis are influenced by physical and chemical variables such as temperature, light intensity, nitrogen and carbon sources and pH. In particular, the success of A. platensis growth depends on maintenance of both cultivation temperature near the optimum and light intensity below a photoinhibition threshold.…”

Section: Introductionmentioning

confidence: 99%

Kinetic and thermodynamic investigation of Arthrospira (Spirulina) platensis fed‐batch cultivation in a tubular photobioreactor using urea as nitrogen source

Morocho‐Jácome

Converti

Sato

et al. 2012

J of Chemical Tech & Biotech

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Kinetic and thermodynamic investigation of Arthrospira (Spirulina) platensis fed-batch cultivation in a tubular photobioreactor using urea as nitrogen source JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY, HOBOKEN, v. 87, n. 11, pp. 1574-1583, NOV, 2012 BACKGROUND: Fed-batch culture allows the cultivation of Arthrospira platensis using urea as nitrogen source. Tubular photobioreactors substantially increase cell growth, but the successful use of this cheap nitrogen source requires a knowledge of the kinetic and thermodynamic parameters of the process. This work aims at identifying the effect of two independent variables, temperature (T) and urea daily molar flow-rate (U), on cell growth, biomass composition and thermodynamic parameters involved in this photosynthetic cultivation.

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“…This makes system scaling more unpredictable, and no practical scale-up methods exist although several design parameters have been identified, e.g., light, CO 2 , mixing, etc. [247][248][249][250][251][252][253][254][255][256][257]. Since production decreases with bioreactor volume, smaller bioreactors (10 2 -10 3 L) may be more practical, especially if they are designed to provide high surface areas for high illumination [257,258].…”

Section: Bioreactors and Scale-upmentioning

confidence: 99%

Dependency of Microalgal Production on Biomass and the Relationship to Yield and Bioreactor Scale-up for Biofuels: a Statistical Analysis of 60+ Years of Algal Bioreactor Data

Granata

2016

Bioenerg. Res.

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Since the 1950s, research has been undertaken to promote algal oil as a sustainable alternative to fossil fuels. This paper statistically analyzed 317 studies of algal bioreactors to determine the interdependence of biological and physical factors affecting oil yield. Algal growth rates in bioreactors often (71 %) exceeded maximal growth rates cited in the literature, and biomass was generally higher than maximum values cited for laboratory cultures. Growth rate decreased with increasing biomass, and biomass, not growth, dominated production rate, which was higher in closed than in open bioreactors. Except for Chlorella cultured in horizontal tubular reactors, there were no statistical differences in algal production when grown in different types of reactors. Production decreased with increasing bioreactor volume, but increased with surface to volume ratio of the bioreactor. In contrast, estimated oil yields increased with bioreactor volume. Four groups of bioreactors were identified based on their oil yields and biomass production: (1) higher yields with lower production were limited to open systems with volumes ≥10 4 L; (2) higher yields with higher production were almost exclusively closed bioreactors from 10 2 to 10 3 L; (3) lower yields with higher production were closed systems from 3 to 99 L; and (4) lower yields with lower production were a mix of open and closed systems with diverse volumes. Based on these groups, it is suggested that intermediate volume bioreactors with higher surface to volume ratios could give higher yields and production rates and would avoid the environmental and scale-up problems inherent in large bioreactors currently being used commercially to culture microalgae.

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Photobioreactors: light regime, mass transfer, and scaleup

Cited by 448 publications

References 29 publications

System Response of Metabolic Networks in Chlamydomonas reinhardtii to Total Available Ammonium

System Response of Metabolic Networks in Chlamydomonas reinhardtii to Total Available Ammonium

Kinetic and thermodynamic investigation of Arthrospira (Spirulina) platensis fed‐batch cultivation in a tubular photobioreactor using urea as nitrogen source

Dependency of Microalgal Production on Biomass and the Relationship to Yield and Bioreactor Scale-up for Biofuels: a Statistical Analysis of 60+ Years of Algal Bioreactor Data

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