Outdoor pilot-scale production of Nannochloropsis gaditana: Influence of culture parameters and lipid production rates in tubular photobioreactors
Abstract
This work studied outdoor pilot scale production of Nannochloropsis gaditana in tubular photobioreactors. The growth and biomass composition of the strain were studied under different culture strategies: continuous-mode (varying nutrient supply and dilution rate) and two-stage cultures aiming lipid enhancement. Besides, parameters such as irradiance, specific nitrate input and dilution rate were used to obtain models predicting growth, lipid and fatty acids production rates. The range of optimum dilution rate was 0.31-0.351/day with maximum biomass, lipid and fatty acids productivities of 590, 110 and 66.8 mg/l day, respectively. Nitrate limitation led to an increase in lipid and fatty acids contents (from 20.5% to 38.0% and from 16.9% to 23.5%, respectively). Two-stage culture strategy provided similar fatty acids productivities (56.4 mg/l day) but the neutral lipids content was doubled.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the PBR system, an optimum biomass productivity of 0.59 g/L was found in a dilution range of 0.31-0.35 g/L, with irradiance of 475 μE/m2.s.
“Optimum biomass productivity of 0.59 g/L was found in a dilution range of 0.31–0.35 g/L, with irradiance of 475 µE/m2.s.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
The models were considered a powerful tool for the improvement and scale-up of microalgae production for biofuels.
“The models were considered a powerful tool for the improvement and scale-up of microalgae production for biofuels.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
These parameters were applied to develop models used in describing Nannochloropsis gaditana biomass productivity and lipid yield.
“These parameters were applied to develop models used in describing Nannochloropsis gaditana biomass productivity and lipid yield.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
Parameters considered to affect lipid productivity were dilution rate of nutrient supply (N and P), irradiance as a measure of light availability and temperature.
“Parameters considered to affect lipid productivity were dilution rate of nutrient supply (N and P), irradiance as a measure of light availability and temperature.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
FA and lipid contents decreased with dilution rate increase, indicating no accumulation enhancement occurred because maximal biomass productivity was the same as maximum for FA and lipid compounds.
“FA and lipid contents decreased with dilution rate increase, indicating no accumulation enhancement occurred because maximal biomass productivity was the same as maximum for FA and lipid compounds.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
San Pedro et al. investigated the cultivation of the microalgae Nannochloropsis gaditana using open raceway ponds, photobioreactors and flat-panel bioreactors in outdoor pilot scale studies.
“San Pedro et al. [81,82,83] investigated the cultivation of the microalgae Nannochloropsis gaditana using ORP, PBR and flat-panel bioreactor (FPB) in outdoor pilot scale studies.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
An increase in protein content was observed with higher dilution rates, indicating nitrogen conversion to proteins.
“An increase in protein content was observed with higher dilution rates, indicating nitrogen conversion to proteins.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
From the three cultivation systems it was possible to optimize growth conditions in terms of the culture medium, temperature and dilution rate with Nannochloropsis gaditana using the developed models.
“From the three cultivation systems it was possible to optimize growth conditions in terms of the culture medium, temperature and dilution rate with Nannochloropsis gaditana using the developed models.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
The studies allowed the establishment of the influence of culture conditions and reactor design and orientation on Nannochloropsis gaditana productivity.
“These studies allowed the establishment of the influence of culture conditions and reactor design and orientation on Nannochloropsis gaditana productivity.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
The importance of the models lied in their reliability and ease of use for calculating large-scale biofuel requirements when considering the productivity of microalgae, especially in terms of lipid production.
“The importance of the models lied in their reliability and ease of use for calculating large-scale biofuel requirements when considering the productivity of microalgae, especially in terms of lipid production.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [82]
Cites
Official Methods of Analysis of AOAC International
Cunniff, P. (2019) · doi:10.1093/9780197610138.001.0001 · Cited by 12,213 · see citing works
Official Methods of Analysis of AOAC International
Horwitz, W., & LATIMER, G. W. (2006) · Medical Entomology and Zoology · Cited by 10,948 · see citing works
Rodolfi, L., Chini Zittelli, G., Bassi, N., Padovani, G., Biondi, N., Bonini, G., & Tredici, M. R. (2009) · Biotechnology and Bioengineering · doi:10.1002/bit.22033 · Cited by 2,879 · see citing works
Biodiesel from algae: challenges and prospects
Scott, S. A., Davey, M. P., Dennis, J. S., Horst, I., Howe, C. J., Lea-Smith, D. J., & Smith, A. G. (2010) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2010.03.005 · Cited by 1,183 · see citing works
Biodiesel from microalgae: A critical evaluation from laboratory to large scale production
Rawat, I., Ranjith Kumar, R., Mutanda, T., & Bux, F. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.10.004 · Cited by 977 · see citing works
Production cost of a real microalgae production plant and strategies to reduce it
Acién, F. G., Fernández, J. M., Magán, J. J., & Molina, E. (2012) · Biotechnology Advances · doi:10.1016/j.biotechadv.2012.02.005 · Cited by 735 · see citing works
Self-citationProtein measurements of microalgal and cyanobacterial biomass
González–López, C. V., Cerón-García, M. C., Acién, F. G., Bustos, C. S., Yusuf Chisti, B., & Fernández-Sevilla, J. M. (2010) · Bioresource Technology · doi:10.1016/j.biortech.2010.04.077 · Cited by 649 · see citing works
Self-citationTubular photobioreactor design for algal cultures
Molina, E., Fernández, J., Acién, F. G., & Chisti, Y. (2001) · Journal of Biotechnology · doi:10.1016/s0168-1656(01)00353-4 · Cited by 620 · see citing works
Self-citationTechniques of Lipidology: isolation, analysis and identification of lipids
Michalec, Č. (1974) · Journal of Chromatography A · doi:10.1016/s0021-9673(01)84171-6 · Cited by 607 · see citing works
Photobioreactors: Light regime, mass transfer, and scaleup
Molina Grima, E., Fernández, F. G. A., Garcı́a Camacho, F., & Chisti, Y. (1999) · Journal of Biotechnology · doi:10.1016/s0168-1656(99)00078-4 · Cited by 603 · see citing works
Self-citationSimionato, D., Block, M. A., Rocca, N. L., Jouhet, J., Maréchal, É., Finazzi, G., & Morosinotto, T. (2013) · Eukaryotic Cell · doi:10.1128/ec.00363-12 · Cited by 366 · see citing works
Rapid simultaneous lipid extraction and transesterification for fatty acid analyses
Rodríguez‐Ruiz, J., Belarbi, E., Sánchez, J. L. G., & Alonso, D. L. (1998) · Biotechnology Techniques · doi:10.1023/a:1008812904017 · Cited by 354 · see citing works
Acién, F. G., Fernández-Sevilla, J. M., Pérez, J. A. S., Grima, E. M., & Yusuf Chisti, B. (2001) · Chemical Engineering Science · doi:10.1016/s0009-2509(00)00521-2 · Cited by 311 · see citing works
Self-citationCarbohydrate determination by the phenol sulfuric acid method
Kochert, G. (1978) · Cited by 293 · see citing works
A mathematical model of microalgal growth in light‐limited chemostat culture
Grima, E. M., García-Camacho, F., Pérez, J. A. S., Fernández-Sevilla, J. M., Acién, F. G., & Gómez, A. C. (1994) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.280610212 · Cited by 280 · see citing works
Self-citationSukenik, A., Zmora, O., & Carmeli, Y. (1993) · Aquaculture · doi:10.1016/0044-8486(93)90328-v · Cited by 265 · see citing works
Zittelli, G. C., Lavista, F., Bastianini, A., Rodolfi, L., VINCENZINI, M. T., & Tredici, M. R. (1999) · Journal of Biotechnology · doi:10.1016/s0168-1656(99)00082-6 · Cited by 253 · see citing works
Mujtaba, G., Choi, W., Lee, C., & Lee, K. (2012) · Bioresource Technology · doi:10.1016/j.biortech.2012.07.057 · Cited by 243 · see citing works
Oil production by the marine microalgae Nannochloropsis sp. F&M-M24 and Tetraselmis suecica F&M-M33
Bondioli, P., Bella, L. D., Rivolta, G., Zittelli, G. C., Bassi, N., Rodolfi, L., Casini, D., Prussi, M., Chiaramonti, D., & Tredici, M. R. (2012) · Bioresource Technology · doi:10.1016/j.biortech.2012.02.123 · Cited by 231 · see citing works
Hu, H., & Gao, K. (2006) · Biotechnology Letters · doi:10.1007/s10529-006-9026-6 · Cited by 209 · see citing works
TOTAL LIPID PRODUCTION OF THE GREEN ALGA NANNOCHLOROPSIS SP. QII UNDER DIFFERENT NITROGEN REGIMES1
Suen, Y., Hubbard, J. S., Holzer, G., & Tornabene, T. G. (1987) · Journal of Phycology · doi:10.1111/j.1529-8817.1987.tb04137.x · Cited by 180 · see citing works
Utilization of the cyanobacteria Anabaena sp. ATCC 33047 in CO2 removal processes
González–López, C. V., Acién, F. G., Fernández-Sevilla, J. M., Fernández, J. F. S., Cerón-García, M. C., & Grima, E. M. (2009) · Bioresource Technology · doi:10.1016/j.biortech.2009.04.070 · Cited by 167 · see citing works
Self-citationZhang, C., Zmora, O., Kopel, R., & RICHMOND, A. E. (2001) · Aquaculture · doi:10.1016/s0044-8486(00)00533-0 · Cited by 159 · see citing works
Marine microalgae selection and culture conditions optimization for biodiesel production
Pedro, A. S., González–López, C. V., Acién, F. G., & Grima, E. M. (2013) · Bioresource Technology · doi:10.1016/j.biortech.2013.02.032 · Cited by 130 · see citing works
Self-citationBenavides, A. M. S., Torzillo, G., Kopecký, J., & Masojídek, J. (2013) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2013.03.016 · Cited by 117 · see citing works
Río, E. D., Acién, F. G., García‐Malea, M. C., Rivas, J., Grima, E. M., & Guerrero, M. G. (2005) · Biotechnology and Bioengineering · doi:10.1002/bit.20547 · Cited by 116 · see citing works
Self-citationProduction of astaxanthin by <i>Haematococcus pluvialis</i>: Taking the one‐step system outdoors
García‐Malea, M. C., Acién, F. G., Del Río, E., Fernández, J. M., Cerón, M. C., Guerrero, M. G., & Molina‐Grima, E. (2009) · Biotechnology and Bioengineering · doi:10.1002/bit.22076 · Cited by 115 · see citing works
Self-citationJames, C. M., Al-Hinty, S., & Salman, A. E. (1989) · Aquaculture · doi:10.1016/0044-8486(89)90218-4 · Cited by 103 · see citing works
Extraction of saponifiable lipids from wet microalgal biomass for biodiesel production
Jiménez, M. J., Medina, A. R., Sánchez, M. D. M., Peña, E. H., Cerdán, L. E., Moreno, P. A. G., & Grima, E. M. (2014) · Bioresource Technology · doi:10.1016/j.biortech.2014.06.106 · Cited by 85 · see citing works
Zou, N., Zhang, C., Cohen, Z., & RICHMOND, A. E. (2000) · European Journal of Phycology · doi:10.1080/09670260010001735711 · Cited by 76 · see citing works
Camacho-Rodríguez, J., Cerón-García, M. C., González–López, C. V., Fernández-Sevilla, J. M., Contreras‐Gómez, A., & Grima, E. M. (2013) · Bioresource Technology · doi:10.1016/j.biortech.2013.06.083 · Cited by 68 · see citing works
Self-citationProductivity analysis of outdoor chemostat culture in tubular air-lift photobioreactors
Grima, E. M., Pérez, J. A. S., García-Camacho, F., Sevilla, J. M. F., & Acién, F. G. (1996) · Journal of Applied Phycology · doi:10.1007/bf02178580 · Cited by 56 · see citing works
Self-citationBiondi, N., Bassi, N., Zittelli, G. C., Faveri, D. D., Giovannini, A., Rodolfi, L., Allevi, C., Macrì, C., & Tredici, M. R. (2012) · Environmental Progress & Sustainable Energy · doi:10.1002/ep.11681 · Cited by 39 · see citing works
Lubián, L. M., & Montero, O. (1998) · Phycologia · doi:10.2216/i0031-8884-37-1-16.1 · Cited by 35 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Comparison of Four Outdoor Pilot-Scale Photobioreactors
de Vree, J. H., Bosma, R., Janssen, M., Barbosa, M. J., & Wijffels, R. H. (2015) · Biotechnology for Biofuels · doi:10.1186/s13068-015-0400-2 · Cited by 249 · see citing works
A new hybrid photobioreactor design for microalgae culture
Deprá, M. C., Mérida, L. G. R., de Menezes, C. R., Zepka, L. Q., & Jacob-Lopes, E. (2019) · Chemical Engineering Research and Design · doi:10.1016/j.cherd.2019.01.023 · Cited by 125 · see citing works
Musa, M., Ayoko, G. A., Ward, A., Rösch, C., Brown, R. J., & Rainey, T. J. (2019) · Cells · doi:10.3390/cells8080851 · Cited by 97 · see citing works
Pawar, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.04.074 · Cited by 80 · see citing works
San Pedro, A., González-López, C. V., Acién, F. G., & Molina-Grima, E. (2015) · Algal Research · doi:10.1016/j.algal.2015.02.013 · Cited by 74 · see citing works
Self-citationCarneiro, M., Cicchi, B., Maia, I. B., Pereira, H., Zittelli, G. C., Varela, J., Malcata, F. X., & Torzillo, G. (2020) · Algal Research · doi:10.1016/j.algal.2020.101923 · Cited by 56 · see citing works
San Pedro, A., González-López, C. V., Acién, F. G., & Molina-Grima, E. (2016) · Algal Research · doi:10.1016/j.algal.2016.06.011 · Cited by 40 · see citing works
Self-citationProduction of lipids with Microchloropsis salina in open thin-layer cascade photobioreactors
Schädler, T., Caballero Cerbon, D., de Oliveira, L., Garbe, D., Brück, T., & Weuster-Botz, D. (2019) · Bioresource Technology · doi:10.1016/j.biortech.2019.121682 · Cited by 34 · see citing works
Moraes, L., Rosa, G. M., Cara, I. M., Santos, L. O., Morais, M. G., Grima, E. M., Costa, J. A. V., & Fernández, F. G. A. (2020) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-020-02373-x · Cited by 22 · see citing works
Schädler, T., Thurn, A.-L., Brück, T., & Weuster-Botz, D. (2021) · Energies · doi:10.3390/en14020500 · Cited by 18 · see citing works
Conceptual process design and -simulation of microalgae oil -conversion to aviation fuel
Bwapwa, J. K., Anandraj, A., & Trois, C. (2018) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.1890 · Cited by 17 · see citing works
- Authors
- San Pedro, A., González-López, C. V., Acién, F. G., & Molina-Grima, E.
- Affiliations
- University of Almería (ES)
- ORCID
- Acién, F.G.
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 169
- Pages
- 667-676
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2004787344
- Cited by
- 110
- References
- 35
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 7 · 2023: 6 · 2022: 12 · 2021: 8 · 2020: 16 · 2019: 15 · 2018: 10 · 2017: 9 · 2016: 11 · 2015: 9
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bioresource Technology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- ENDESA S.A.
- Ministerio de Economía y Competitividad (Spain)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Aquaculture Nutrition and Growth
- Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
- Keywords
- Nannochloropsis gaditana, microalgae cultivation, tubular photobioreactor, lipid production, fatty acid production, dilution rate, nitrate limitation, irradiance, two-stage culture, continuous culture, growth models, microalgal biomass
- MeSH terms
- Biotechnology, Fatty Acids, Lipids, Pilot Projects, Biomass, Cell Culture Techniques, Stramenopiles, Photobioreactors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review