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Fekete G, Sebők A, Klátyik S, Varga ZI, Grósz J, Czinkota I, Székács A, Aleksza L. Comparative Analysis of Laboratory-Based and Spectroscopic Methods Used to Estimate the Algal Density of Chlorella vulgaris. Microorganisms 2024; 12:1050. [PMID: 38930433 PMCID: PMC11205756 DOI: 10.3390/microorganisms12061050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/17/2024] [Accepted: 05/18/2024] [Indexed: 06/28/2024] Open
Abstract
Chlorella vulgaris is of great importance in numerous exploratory or industrial applications (e.g., medicals, food, and feed additives). Rapid quantification of algal biomass is crucial in photobioreactors for the optimization of nutrient management and the estimation of production. The main goal of this study is to provide a simple, rapid, and not-resource-intensive estimation method for determining the algal density of C. vulgaris according to the measured parameters using UV-Vis spectrophotometry. Comparative assessment measurements were conducted with seven different methods (e.g., filtration, evaporation, chlorophyll a extraction, and detection of optical density and fluorescence) to determine algal biomass. By analyzing the entire spectra of diluted algae samples, optimal wavelengths were determined through a stepwise series of linear regression analyses by a novel correlation scanning method, facilitating accurate parameter estimation. Nonlinear formulas for spectrometry-based estimation processes were derived for each parameter. As a result, a general formula for biomass concentration estimation was developed, with recommendations for suitable measuring devices based on algae concentration levels. New values for magnesium content and the average single-cell weight of C. vulgaris were established, in addition to the development of a rapid, semiautomated cell counting method, improving efficiency and accuracy in algae quantification for cultivation and biotechnology applications.
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Affiliation(s)
- György Fekete
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - András Sebők
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - Szandra Klátyik
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - Zsolt István Varga
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - János Grósz
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - Imre Czinkota
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - András Székács
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
| | - László Aleksza
- Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, H-2100 Gödöllő, Hungary; (G.F.); (A.S.); (S.K.); (Z.I.V.); (J.G.); (I.C.); (L.A.)
- Profikomp Environmental Technologies Inc., Kühne Ede u. 7, H-2100 Gödöllő, Hungary
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Espinel-Ríos S, Morabito B, Pohlodek J, Bettenbrock K, Klamt S, Findeisen R. Toward a modeling, optimization, and predictive control framework for fed-batch metabolic cybergenetics. Biotechnol Bioeng 2024; 121:366-379. [PMID: 37942516 DOI: 10.1002/bit.28575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 09/22/2023] [Accepted: 10/14/2023] [Indexed: 11/10/2023]
Abstract
Biotechnology offers many opportunities for the sustainable manufacturing of valuable products. The toolbox to optimize bioprocesses includes extracellular process elements such as the bioreactor design and mode of operation, medium formulation, culture conditions, feeding rates, and so on. However, these elements are frequently insufficient for achieving optimal process performance or precise product composition. One can use metabolic and genetic engineering methods for optimization at the intracellular level. Nevertheless, those are often of static nature, failing when applied to dynamic processes or if disturbances occur. Furthermore, many bioprocesses are optimized empirically and implemented with little-to-no feedback control to counteract disturbances. The concept of cybergenetics has opened new possibilities to optimize bioprocesses by enabling online modulation of the gene expression of metabolism-relevant proteins via external inputs (e.g., light intensity in optogenetics). Here, we fuse cybergenetics with model-based optimization and predictive control for optimizing dynamic bioprocesses. To do so, we propose to use dynamic constraint-based models that integrate the dynamics of metabolic reactions, resource allocation, and inducible gene expression. We formulate a model-based optimal control problem to find the optimal process inputs. Furthermore, we propose using model predictive control to address uncertainties via online feedback. We focus on fed-batch processes, where the substrate feeding rate is an additional optimization variable. As a simulation example, we show the optogenetic control of the ATPase enzyme complex for dynamic modulation of enforced ATP wasting to adjust product yield and productivity.
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Affiliation(s)
- Sebastián Espinel-Ríos
- Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Bruno Morabito
- Yokogawa Insilico Biotechnology GmbH, Stuttgart, Germany
| | - Johannes Pohlodek
- Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt, Darmstadt, Germany
| | - Katja Bettenbrock
- Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Steffen Klamt
- Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Rolf Findeisen
- Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt, Darmstadt, Germany
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Martinez-Ruiz M, Vazquez K, Losoya L, Gonzalez S, Robledo-Padilla F, Aquines O, Iqbal HM, Parra-Saldivar R. Microalgae growth rate multivariable mathematical model for biomass production. Heliyon 2022; 9:e12540. [PMID: 36691555 PMCID: PMC9860277 DOI: 10.1016/j.heliyon.2022.e12540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/18/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
Background The use of microalgae has been emerging as a potential technology to reduce greenhouse gases and bioremediate polluted water and produce high-value products as pigments, phytohormones, biofuels, and bioactive compounds. The improvement in biomass production is a priority to make the technology implementation profitable in every application mentioned before. Methods The present study was conducted to explore the use of microalgae from genus Chlorella and Tetradesmus for the generation of substances of interest with UV absorption capacity. A mathematical model was developed for both microalgae to characterize the production of microalgae biomass considering the effects of light intensity, temperature, and nutrient consumption. The model was programmed in MATLAB software, where the three parameters were incorporated into a single specific growth rate equation. Results It was found that the optimal environmental conditions for each genus (Chlorella T=36°C, and I<787 μmol/m2s; Tetradesmus T=23°C and I<150 μmol/m2s), as well as the optimal specific growth rate depending on the personalized values of the three parameters. Conclussion This work could be used in the production of microalgae biomass for the design and development of topical applications to replace commercial options based on compounds that compromise health and have a harmful impact on the environment.
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Affiliation(s)
- Manuel Martinez-Ruiz
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, 64849, Mexico
| | - Karina Vazquez
- Department of Biomedical Engineering, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, N.L., Mexico
| | - Liliana Losoya
- Department of Biomedical Engineering, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, N.L., Mexico
| | - Susana Gonzalez
- Department of Biomedical Engineering, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, N.L., Mexico
| | - Felipe Robledo-Padilla
- Department of Physics and Mathematics, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, N.L., Mexico
| | - Osvaldo Aquines
- Department of Physics and Mathematics, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, N.L., Mexico,Corresponding authors.
| | - Hafiz M.N. Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, 64849, Mexico
| | - Roberto Parra-Saldivar
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, 64849, Mexico,Corresponding authors.
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Light and carbon limited photosynthesis of Chlorella sorokiniana. ALGAL RES 2022. [DOI: 10.1016/j.algal.2022.102934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Outdoor Inclined Plastic Column Photobioreactor: Growth, and Biochemicals Response of Arthrospira platensis Culture on Daily Solar Irradiance in a Tropical Place. Metabolites 2022; 12:metabo12121199. [PMID: 36557237 PMCID: PMC9785283 DOI: 10.3390/metabo12121199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 12/02/2022] Open
Abstract
Implementation of outdoor photobioreactors has been challenged by an extremely oversaturated daily peak of solar irradiance. This study aims to understand the role of column size and paranet shading as well as to investigate the most convenient light control in outdoor cyanobacterial culture. The photobioreactor (PBR) consisted of plastic columns with a diameter of 12.74 cm (PBRd-20) and 31.85 cm (PBRd-50) laid outdoors and inclined at 158.22° upwards against solar radiation, while paranet shading was provided at 0%, 50%, 70%, and 90% shading capacity. A semi-continuous culture of cyanobacterium Arthrospira (Spirulina) platensis was conducted for 6 weeks with weekly monitoring of the growth parameter as well as the proximate and pigments content, while the daily irradiance and culture maximum temperature were recorded. The result shows that the column diameter of 12.74 cm had a lethal risk of 44.7% and this decreased to 10.5% by widening the column diameter to 31.85 cm. This lethal risk can be eliminated by the application of a paranet at a 50% reduction level for the column diameter of 31.85 cm and a 70% reduction level for the column diameter of 12.74 cm. The highest culture productivity of 149.03 mg/(L·day) was achieved with a PBRd-20 with 50% shading treatment, but a PBRd-50 with 90% shading treatment led to an increase in the protein and phycocyanin content by 66.7% and 14.91%, respectively.
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Sustainable production of biofuels from the algae-derived biomass. Bioprocess Biosyst Eng 2022:10.1007/s00449-022-02796-8. [DOI: 10.1007/s00449-022-02796-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022]
Abstract
AbstractThe worldwide fossil fuel reserves are rapidly and continually being depleted as a result of the rapid increase in global population and rising energy sector needs. Fossil fuels should not be used carelessly since they produce greenhouse gases, air pollution, and global warming, which leads to ecological imbalance and health risks. The study aims to discuss the alternative renewable energy source that is necessary to meet the needs of the global energy industry in the future. Both microalgae and macroalgae have great potential for several industrial applications. Algae-based biofuels can surmount the inadequacies presented by conventional fuels, thereby reducing the ‘food versus fuel’ debate. Cultivation of algae can be performed in all three systems; closed, open, and hybrid frameworks from which algal biomass is harvested, treated and converted into the desired biofuels. Among these, closed photobioreactors are considered the most efficient system for the cultivation of algae. Different types of closed systems can be employed for the cultivation of algae such as stirred tank photobioreactor, flat panel photobioreactor, vertical column photobioreactor, bubble column photobioreactor, and horizontal tubular photobioreactor. The type of cultivation system along with various factors, such as light, temperature, nutrients, carbon dioxide, and pH affect the yield of algal biomass and hence the biofuel production. Algae-based biofuels present numerous benefits in terms of economic growth. Developing a biofuel industry based on algal cultivation can provide us with a lot of socio-economic advantages contributing to a publicly maintainable result. This article outlines the third-generation biofuels, how they are cultivated in different systems, different influencing factors, and the technologies for the conversion of biomass. The benefits provided by these new generation biofuels are also discussed. The development of algae-based biofuel would not only change environmental pollution control but also benefit producers' economic and social advancement.
Graphical abstract
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Jouannais P, Hindersin S, Löhn S, Pizzol M. Stochastic LCA Model of Upscaling the Production of Microalgal Compounds. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10454-10464. [PMID: 35763500 DOI: 10.1021/acs.est.2c00372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Microalgae are currently being investigated for their promising metabolites but assessing the environmental impact of producing these compounds remains a challenge. Microalgae cultivation performance results from the complex interaction of biological, technological, geographical, and physical factors, which bioengineers try to optimize during the upscaling process. The path from the discovery of a microalgal compound to its industrial production is therefore highly uncertain. Nonetheless, it is key to anticipate the potential environmental impacts associated with the future production of a microalgal target compound. This is achieved in this study by developing an ex-ante, parameterized, and consequential LCA model that performs dynamic simulations of microalgae cultivation. The model is applied to calculate the environmental impacts of 9000 stochastically generated combinations of photobioreactor geometries and operational setups. The demonstration of the model is done for a fictive microalgal strain, parameterized to resemble Chlorella vulgaris, and a fictive target compound assumed to be a carbohydrate. The simulations are performed in Aalborg, Denmark, and Granada, Spain to appreciate geographical variability, which highly affects the requirements for thermoregulation. Open-source documentation allows full reproducibility and further use of the model for the ex-ante assessment of microalgal products.
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Affiliation(s)
- Pierre Jouannais
- Department of Planning, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark
| | - Stefan Hindersin
- Sea & Sun Technology LTD, Arndtstraße 9 -13, 24610 Trappenkamp, Germany
| | - Sarah Löhn
- Institute of Environmental Technology and Energy Economics, Waste Resource Management, Hamburg University of Technology, Blohmstraße 15, 21079 Hamburg, Germany
| | - Massimo Pizzol
- Department of Planning, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark
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Ahn Y, Park S, Ji MK, Ha GS, Jeon BH, Choi J. Biodiesel production potential of microalgae, cultivated in acid mine drainage and livestock wastewater. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 314:115031. [PMID: 35468431 DOI: 10.1016/j.jenvman.2022.115031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/31/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
The adaptability and biofuel production potential of two strains of microalgae isolated and cultivated in livestock wastewater effluent (LWE) with acid mine drainage (AMD) were investigated. The isolated strains of microalgae from samples obtained from LWE and AMD, two microalgal strains (Nephroselmis sp. KGE2 and Autodesmus obliquus KGE17) were selected based on their growth rate and lipid productivity. The dry cell weight of Nephroselmis sp. KGE2 and Autodesmus obliquus KGE17 after 20 days of cultivation in AMD increased from 0.05 to 0.59 g/L and from 0.05 to 0.55 g/L, respectively. These findings revealed a significant accumulation of fatty acids with increasing AMD content. Nephroselmis sp. KGE2 in LWE with 5% AMD demonstrated a higher growth rate (0.59 ± 0.03 g/L) and fatty acid production (401.5 ± 47.3 mg/L) than Autodesmus obliquus KGE17 with 5% AMD. Additionally, Nephroselmis sp. KGE2 had C16-C18 fatty acid content (92.4%) in LWE with AMD. Biodiesel produced from Nephroselmis sp. KGE2 had a higher cetane number (52.31) and iodine value (88.26 g I2/100 g oil). Consequently, Nephroselmis sp. KGE2 can be considered a potential candidate for biodiesel production using AMD as an iron source.
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Affiliation(s)
- Yongtae Ahn
- Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology, Hwarang-ro 14, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Sanghyun Park
- Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology, Hwarang-ro 14, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Min-Kyu Ji
- Korea Environment Institute, 370 Sicheong-daero, Sejong, 30147, Republic of Korea
| | - Geon-Soo Ha
- Department of Earth Resources & Environmental Engineering, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Byong-Hun Jeon
- Department of Earth Resources & Environmental Engineering, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Jaeyoung Choi
- Center for Environment, Health and Welfare Research, Korea Institute of Science and Technology, Hwarang-ro 14, Seongbuk-gu, Seoul, 02792, Republic of Korea.
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Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review. ENERGIES 2022. [DOI: 10.3390/en15113966] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Computational Fluid Dynamics (CFD) have been frequently applied to model the growth conditions in photobioreactors, which are affected in a complex way by multiple, interacting physical processes. We review common photobioreactor types and discuss the processes occurring therein as well as how these processes have been considered in previous CFD models. The analysis reveals that CFD models of photobioreactors do often not consider state-of-the-art modeling approaches. As a comprehensive photobioreactor model consists of several sub-models, we review the most relevant models for the simulation of fluid flows, light propagation, heat and mass transfer and growth kinetics as well as state-of-the-art models for turbulence and interphase forces, revealing their strength and deficiencies. In addition, we review the population balance equation, breakage and coalescence models and discretization methods since the predicted bubble size distribution critically depends on them. This comprehensive overview of the available models provides a unique toolbox for generating CFD models of photobioreactors. Directions future research should take are also discussed, mainly consisting of an extensive experimental validation of the single models for specific photobioreactor geometries, as well as more complete and sophisticated integrated models by virtue of the constant increase of the computational capacity.
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Barten R, Chin-On R, de Vree J, van Beersum E, Wijffels RH, Barbosa M, Janssen M. Growth parameter estimation and model simulation for three industrially relevant microalgae: Picochlorum, Nannochloropsis, and Neochloris. Biotechnol Bioeng 2022; 119:1416-1425. [PMID: 35119109 PMCID: PMC9303635 DOI: 10.1002/bit.28052] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/18/2022] [Accepted: 01/30/2022] [Indexed: 11/20/2022]
Abstract
Multiple models have been developed in the field to simulate growth and product accumulation of microalgal cultures. These models heavily depend on the accurate estimation of growth parameters. In this paper growth parameters are presented for three industrially relevant microalgae species: Nannochloropsis sp., Neochloris oleoabundans, and Picochlorum sp. (BPE23). Dedicated growth experiments were done in photobioreactors to determine the maximal biomass yield on light and maintenance rate, while oxygen evolution experiments were performed to estimate the maximal specific growth rate. Picochlorum sp. exhibited the highest specific growth rate of 4.98 ± 0.24 day−1 and the lowest specific maintenance rate of 0.079 day−1, whereas N. oleoabundans showed the highest biomass yield on light of 1.78 gx·molph−1. The measured growth parameters were used in a simple kinetic growth model for verification. When simulating growth under light conditions as found at Bonaire (12 °N, 68° W), Picochlorum sp. displayed the highest areal biomass productivity of 32.2 g.m−2·day−1 and photosynthetic efficiency of 2.8%. The presented growth parameters show to be accurate compared to experimental data and can be used for model calibration by scientists and industrial communities in the field.
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Affiliation(s)
- Robin Barten
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands
| | - Rocca Chin-On
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands.,Water- en Energiebedrijf Bonaire, Kralendijk, Bonaire
| | - Jeroen de Vree
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands
| | - Ellen van Beersum
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands
| | - Rene H Wijffels
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands.,Biosciences and Aquaculture, Nord University, N-8049, Bodø, Norway
| | - Maria Barbosa
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands
| | - Marcel Janssen
- Bioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, 6700 AA, Wageningen, The Netherlands
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Jamaian SS, Zulkifli FH, Ling KS. Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models. Methods Mol Biol 2022; 2385:117-140. [PMID: 34888718 DOI: 10.1007/978-1-0716-1767-0_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The biomass concentration of microalgae growth in photobioreactor was predicted using the Monod-based growth models. Kinetic parameters such as maximum specific growth rate and saturation constant of light intensity were evaluated by nonlinear least squares methods that focused on minimizing the sum of squares error (SSE). The importance of good initial guess for the nonlinear least squares method was also discussed. The optimal control problem of the microalgae growth model was determined based on parameter sensitivity. Therefore, a dynamic optimization approach was used where an optimal input design method was formulated to obtain a control function of a problem. The dynamic state equations, additional state equations, cost function, and Hamiltonian function were used to establish a control function of microalgae growth in a photobioreactor. Hence, the biomass production of microalgae can be predicted using numerical methods such as the Taylor series method.
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Affiliation(s)
- Siti S Jamaian
- Department of Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Educational Hub, Muar, Johor, Malaysia.
| | - Fathul H Zulkifli
- Department of Mechanical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Educational Hub, Muar, Johor, Malaysia
| | - Kim S Ling
- Department of Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Educational Hub, Muar, Johor, Malaysia
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Abiusi F, Trompetter E, Hoenink H, Wijffels RH, Janssen M. Autotrophic and mixotrophic biomass production of the acidophilic Galdieria sulphuraria ACUF 64. ALGAL RES 2021. [DOI: 10.1016/j.algal.2021.102513] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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13
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Istvánovics V, Honti M. Stochastic simulation of phytoplankton biomass using eighteen years of daily data - predictability of phytoplankton growth in a large, shallow lake. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 764:143636. [PMID: 33401043 DOI: 10.1016/j.scitotenv.2020.143636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 11/04/2020] [Accepted: 11/07/2020] [Indexed: 06/12/2023]
Abstract
During the past decades, on-line monitoring of freshwater lakes has developed rapidly. To use high frequency time-series in lake management, novel models are needed that are simple and provide insight into the complexity of phytoplankton dynamics. Chlorophyll a (Chl), a proxy for phytoplankton biomass and environmental drivers were monitored on-line in large, shallow Lake Balaton during the vegetation periods between 2001 and 2018. Growth and non-growth (G and non-G) states of algae were deduced from daily change in Chl. Random forests (RF) were used to find stochastic response rules of phytoplankton to growth-supporting environmental habitat templates. The stochastic G/non-G state was translated into long-term daily biomass dynamics by a deterministic biomass model to assess uncertainty and to distinguish between inevitable and unpredictable blooms. A biomass peak was qualified as inevitable or unpredictable if the lower 95% confidence limit of simulations exceeded or remained at the baseline Chl level, respectively. Compared to a stochastic null model based on monthly Markovian transition probabilities, RF-based models captured wax and wane of biomass realistically. Timing of peaks could be better simulated than their magnitude, likely because habitat templates were primarily determined by light whereas peak sizes might depend on unmeasured processes, such as phosphorus availability. In general, algal growth was favored by wind-induced sediment resuspension that decreased light availability but simultaneously enhanced the P supply. Seasonal temperature and an integral of departures from the "normal" seasonal temperature over 2 to 3 generations were important drivers of phytoplankton growth, whereas short-term (diel and day to day) changes in water temperature appeared to be irrelevant. Four types of years could be distinguished during the study period with respect to algal growth conditions. The present modeling approach can reasonably be used even in highly variable aquatic environments when 3 to 4 years of daily data are available.
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Affiliation(s)
- Vera Istvánovics
- MTA-BME Water Research Group, Műegyetem rkp. 3, 1111 Budapest, Hungary.
| | - Márk Honti
- MTA-BME Water Research Group, Műegyetem rkp. 3, 1111 Budapest, Hungary
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Castro-Varela PA, Celis-Plá PSM, Abdala-Díaz R, Figueroa FL. Photobiological Effects on Biochemical Composition in Porphyridium cruentum (Rhodophyta) with a Biotechnological Application. Photochem Photobiol 2021; 97:1032-1042. [PMID: 33829505 DOI: 10.1111/php.13426] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 03/28/2021] [Indexed: 11/30/2022]
Abstract
This study describes the relation of photosynthetic capacity, growth and biochemical compounds in the microalgae Porphyridium cruentum under saturated irradiance (200 μmol m-2 s-1 ) by white light (WL) and low-pressure sodium vapor lamps (SOX lamps-control) and supplemented by fluorescent lamps (FLs) with different light qualities (blue: λmax = 440 nm; green: λmax = 560 nm; and red: λmax = 660 nm). The maximum photosynthetic efficiency (Fv / Fm ) showed a positive correlation with the light quality by saturating light SOX in mixture with stimulating blue light than the white light (WL) at the harvest day (10 days). The production, that is maximal electron transport rate (ETRmax ), and energy dissipation, that is maximal nonphotochemical quenching (NPQmax ), had the same pattern throughout the time (3-6 days) being the values higher under white light (WL) compared with SOX and SOX plus supplemented different light qualities. Total protein levels increased significantly in the presence of SOX light, while phycoerythrin (B-PE) showed significant differences under SOX+ blue light. Arachidonic acid (ARA) was higher under SOX and SOX plus supplemented different light qualities than that under WL, whereas eicosapentaenoic acid (EPA) was the reverse. The high photomorphogenic potential by SOX light shows promising application for microalgal biotechnology.
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Affiliation(s)
- Pablo A Castro-Varela
- Department of Ecology and Geology, Faculty of Sciences, Institute of Blue Biotechnology and Development (IBYDA), University of Malaga, Málaga, Spain.,Department of Chemical Engineering, University of La Frontera, Temuco, Chile
| | - Paula S M Celis-Plá
- Laboratory of Coastal Environmental Research, Center of Advanced Studies, University of Playa Ancha, Traslaviña, Viña del Mar, Chile.,HUB-AMBIENTAL UPLA, Vicerrectoría de Investigación Postgrado e Innovación, University of Playa Ancha, Valparaíso, Chile
| | - Roberto Abdala-Díaz
- Department of Ecology and Geology, Faculty of Sciences, Institute of Blue Biotechnology and Development (IBYDA), University of Malaga, Málaga, Spain
| | - Félix L Figueroa
- Department of Ecology and Geology, Faculty of Sciences, Institute of Blue Biotechnology and Development (IBYDA), University of Malaga, Málaga, Spain
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15
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Schipper K, Das P, Al Muraikhi M, AbdulQuadir M, Thaher MI, Al Jabri HMSJ, Wijffels RH, Barbosa MJ. Outdoor scale-up of Leptolyngbya sp.: Effect of light intensity and inoculum volume on photoinhibition and -oxidation. Biotechnol Bioeng 2021; 118:2368-2379. [PMID: 33710627 PMCID: PMC8252766 DOI: 10.1002/bit.27750] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/07/2021] [Accepted: 03/08/2021] [Indexed: 11/29/2022]
Abstract
The effect of light intensity and inoculum volume on the occurrence of photooxidation for Leptolyngbya sp. QUCCCM 56 was investigated, to facilitate the transition from small‐scale laboratory experiments to large‐scale outdoor cultivation. Indoor, the strain was capable of growing at light intensities of up to 5600 µmol photons/m2/s, at inoculation densities as low as 0.1 g/L (10% inoculation volume vol/vol). Levels of chlorophyll and phycocyanin showed a significant decrease within the first 24 h, indicating some level of photooxidation, however, both were able to recover within 72 h. When cultivated under outdoor conditions in Qatar during summer, with average peak light intensities 1981 ± 41 μmol photons/m2/s, the strain had difficulties growing. The culture recovered after an initial adaptation period, and clear morphological differences were observed, such as an increase in trichome length, as well as coiling of multiple trichomes in tightly packed strands. It was hypothesized that the morphological changes were induced by UV‐radiation as an adaptation mechanism for increased self‐shading. Furthermore, the presence of contaminating ciliates could have also affected the outdoor culture. Both UV and contaminants are generally not simulated under laboratory environments, causing a mismatch between indoor optimizations and outdoor realizations.
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Affiliation(s)
- Kira Schipper
- Algal Technologies Program, Center for Sustainable Development, Qatar University, Doha, Qatar.,Agrotechnology and Food Sciences, Bioprocess Engineering, AlgaePARC, Wageningen University & Research, Wageningen, The Netherlands
| | - Probir Das
- Algal Technologies Program, Center for Sustainable Development, Qatar University, Doha, Qatar
| | - Mariam Al Muraikhi
- Algal Technologies Program, Center for Sustainable Development, Qatar University, Doha, Qatar
| | - Mohammed AbdulQuadir
- Algal Technologies Program, Center for Sustainable Development, Qatar University, Doha, Qatar
| | - Mahmoud Ibrahim Thaher
- Algal Technologies Program, Center for Sustainable Development, Qatar University, Doha, Qatar
| | | | - René H Wijffels
- Agrotechnology and Food Sciences, Bioprocess Engineering, AlgaePARC, Wageningen University & Research, Wageningen, The Netherlands.,Aquaculture, Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Maria J Barbosa
- Agrotechnology and Food Sciences, Bioprocess Engineering, AlgaePARC, Wageningen University & Research, Wageningen, The Netherlands
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16
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Mehta AK, Chakraborty S. Multiscale integration of mixotrophic microalgal cultivation, lipid synthesis, rapid biomass harvesting, and nutrient recycling in pilot-scale photobioreactors. ALGAL RES 2021. [DOI: 10.1016/j.algal.2020.102146] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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17
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Bekirogullari M, Figueroa-Torres GM, Pittman JK, Theodoropoulos C. Models of microalgal cultivation for added-value products - A review. Biotechnol Adv 2020; 44:107609. [PMID: 32781245 DOI: 10.1016/j.biotechadv.2020.107609] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/07/2020] [Accepted: 08/04/2020] [Indexed: 12/23/2022]
Abstract
Microalgae are considered a promising feedstock for biorefineries given that their chemical composition - rich in carbohydrate and lipid - can be directed towards the co-production of various value-added fuels and chemicals. Production of microalgal biomass for biorefinery purposes requires the identification and establishment of optimal cultivation systems, a crucial yet complicated task due to the numerous factors (e.g. media composition, light, temperature) that simultaneously regulate biomass growth and intracellular composition. Modelling these biological processes, taking into account a single or multiple growth-limiting factors, offers a valuable tool to simulate, design and optimise the dynamics of microalgae cultivation. This review provides an overview of existing models developed to describe microalgal growth processes at the macroscopic scale (also termed black-box models) and discusses their formulation in detail. The black-box kinetic modelling frameworks are compiled into single-factor (6 formulations) and multiple-factor (32 formulations - further divided into non-interactive, additive, and interactive) growth kinetic models, as reported in more than 80 studies, for the prediction of biomass growth as a function of major operational factors such as media composition (e.g. nutrient concentration) and environmental factors (e.g. transient light and temperature). In addition, the review focuses on those models that further account for the production dynamics of two microalgal intracellular products with renowned potential as biorefinery substrates: carbohydrate and lipid molecules. Models of microalgal cultivation dynamics offer a robust engineering tool to understand the natural yet complex responses of microalgae to their growing environment and can help - if used appropriately - to optimise microalgae cultivation and increase the economic viability and sustainability of microalgal systems.
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Affiliation(s)
- Mesut Bekirogullari
- Department of Chemical Engineering and Analytical Science, Biochemical and Bioprocess Engineering Group, The University of Manchester, Manchester M13 9PL, UK
| | - Gonzalo M Figueroa-Torres
- Department of Chemical Engineering and Analytical Science, Biochemical and Bioprocess Engineering Group, The University of Manchester, Manchester M13 9PL, UK
| | - Jon K Pittman
- Department of Earth and Environmental Sciences, The University of Manchester, Manchester M13 9PL, UK
| | - Constantinos Theodoropoulos
- Department of Chemical Engineering and Analytical Science, Biochemical and Bioprocess Engineering Group, The University of Manchester, Manchester M13 9PL, UK.
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18
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Weise T, Grewe C, Pfaff M. Experimental and Model-Based Analysis to Optimize Microalgal Biomass Productivity in a Pilot-Scale Tubular Photobioreactor. Front Bioeng Biotechnol 2020; 8:453. [PMID: 32528939 PMCID: PMC7247861 DOI: 10.3389/fbioe.2020.00453] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 04/20/2020] [Indexed: 11/13/2022] Open
Abstract
A dynamic coarse-grained model of microalgal growth considering light availability and temperature under discontinuous bioprocess operation was parameterized using experimental data from 15 batch cultivations of Nannochloropsis granulata in a pilot-scale tubular photobioreactor. The methodology applied consists of a consecutive two-step model parameter estimation using pooled, clustered and reorganized data to obtain initial estimates and multi-experiment fitting to obtain the final estimates, which are: maximum specific growth rate μmax = 1.56 d−1, specific photon half-saturation constant KS,ph = 1.89 molphgX-1d-1, specific photon maintenance coefficient mph = 0.346 molphgX-1d-1 and the cardinal temperatures Tmin = 2.3°C, Topt = 27.93°C and Tmax = 32.59°C. Biomass productivity prediction proved highly accurate, expressed by the mean absolute percent error MAPE = 7.2%. Model-based numerical optimization of biomass productivity for repeated discontinuous operation with respect to the process parameters cultivation cycle time, inoculation biomass concentration and temperature yielded productivity gains of up to 35%. This optimization points to best performance under continuous operation. The approach successfully applied here to small pilot-scale confirms an earlier one to lab-scale, indicating its transferability to larger scale tubular photobioreactors.
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Affiliation(s)
- Tobias Weise
- Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Jena, Germany.,Department of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.,BioControl Jena GmbH, Jena, Germany
| | | | - Michael Pfaff
- Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Jena, Germany
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19
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Garbowski T, Pietryka M, Pulikowski K, Richter D. The use of a natural substrate for immobilization of microalgae cultivated in wastewater. Sci Rep 2020; 10:7915. [PMID: 32404871 PMCID: PMC7221078 DOI: 10.1038/s41598-020-64656-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 04/20/2020] [Indexed: 12/01/2022] Open
Abstract
The methods of separation of microalgae has a significant impact in the economic aspects of their cultivation. In this study, pine bark was used as a substrate for immobilization of microalgal biomass cultivated in raw municipal sewage. The experiment was conducted in cylindrical photobioreactors (PBRs) with circulation of wastewater. Biomass was cultivated for 42 days. After that time, abundant growth of the biofilm with microalgae on the surface of pine bark as well as improvement of the quality of treated sewage were observed. The efficiency of removal of nutrients from wastewater was 64-81% for total nitrogen and 97-99% for total phosphorus. Moreover, the concentration of suspended solids in sewage was reduced, which resulted in a decrease in turbidity by more than 90%. Colorimetric analysis and Volatile Matter (VM) content in the substrate showed a decrease in the Higher Heating Value (HHV) and concentration of VM due to the proliferation of biofilm.
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Affiliation(s)
- Tomasz Garbowski
- Institute of Technology and Life Sciences, Falenty, Al. Hrabska 3, 05-090, Raszyn, Poland.
| | - Mirosława Pietryka
- Wrocław University of Environmental and Life Sciences, Department of Botany and Plant Ecology, Grunwaldzki Square 24a, 50-363, Wrocław, Poland
| | - Krzysztof Pulikowski
- Wrocław University of Environmental and Life Sciences, Institute of Environmental Engineering, Grunwaldzki Square 24, 50-363, Wrocław, Poland
| | - Dorota Richter
- Wrocław University of Environmental and Life Sciences, Department of Botany and Plant Ecology, Grunwaldzki Square 24a, 50-363, Wrocław, Poland
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20
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Nair A, Chakraborty S. Synergistic effects between autotrophy and heterotrophy in optimization of mixotrophic cultivation of Chlorella sorokiniana in bubble-column photobioreactors. ALGAL RES 2020. [DOI: 10.1016/j.algal.2020.101799] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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21
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Mazzelli A, Cicci A, Di Caprio F, Altimari P, Toro L, Iaquaniello G, Pagnanelli F. Multivariate modeling for microalgae growth in outdoor photobioreactors. ALGAL RES 2020. [DOI: 10.1016/j.algal.2019.101663] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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22
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Di Caprio F, Altimari P, Pagnanelli F. New strategies enhancing feasibility of microalgal cultivations. ACTA ACUST UNITED AC 2020. [DOI: 10.1016/b978-0-444-64337-7.00016-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
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23
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Effect of Light Intensity and Quality on Growth Rate and Composition of Chlorella vulgaris. PLANTS 2019; 9:plants9010031. [PMID: 31878279 PMCID: PMC7020147 DOI: 10.3390/plants9010031] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 11/17/2022]
Abstract
In this research, the effect of solar irradiance on Chlorella vulgaris cultivated in open bioreactors under greenhouse conditions was investigated, as well as of ratio of light intensity in the 420–520 nm range to light in the 580–680 nm range (I420–520/I580–680) and of artificial irradiation provided by red and white LED lamps in a closed flat plate laboratory bioreactor on the growth rate and composition. The increase in solar irradiance led to faster growth rates (μexp) of C. vulgaris under both environmental conditions studied in the greenhouse (in June up to 0.33 d−1 and in September up to 0.29 d−1) and higher lipid content in microalgal biomass (in June up to 25.6% and in September up to 24.7%). In the experiments conducted in the closed bioreactor, as the ratio I420–520/I580–680 increased, the specific growth rate and the biomass, protein and lipid productivities increased as well. Additionally, the increase in light intensity with red and white LED lamps resulted in faster growth rates (the μexp increased up to 0.36 d−1) and higher lipid content (up to 22.2%), while the protein, fiber, ash and moisture content remained relatively constant. Overall, the trend in biomass, lipid, and protein productivities as a function of light intensity was similar in the two systems (greenhouse and bioreactor).
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24
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Tuantet K, Temmink H, Zeeman G, Wijffels RH, Buisman CJ, Janssen M. Optimization of algae production on urine. ALGAL RES 2019. [DOI: 10.1016/j.algal.2019.101667] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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25
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Schediwy K, Trautmann A, Steinweg C, Posten C. Microalgal kinetics - a guideline for photobioreactor design and process development. Eng Life Sci 2019; 19:830-843. [PMID: 32624976 PMCID: PMC6999068 DOI: 10.1002/elsc.201900107] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 09/13/2019] [Accepted: 09/23/2019] [Indexed: 12/17/2022] Open
Abstract
Kinetics generally describes bio‐(chemical) reaction rates in dependence on substrate concentrations. Kinetics for microalgae is often adapted from heterotrophs and lacks mechanistic foundation, e.g. for light harvesting. Using and understanding kinetic equations as the representation of intracellular mechanisms is essential for reasonable comparisons and simulations of growth behavior. Summarizing growth kinetics in one equation does not yield reliable models. Piecewise linear or rational functions may mimic photosynthesis irradiance response curves, but fail to represent the mechanisms. Our modeling approach for photoautotrophic growth comprises physical and kinetic modules with mechanistic foundation extracted from the literature. Splitting the light submodel into the modules for light distribution, light absorption, and photosynthetic sugar production with independent parameters allows the transfer of kinetics between different reactor designs. The consecutive anabolism depends among others on nutrient concentrations. The nutrient uptake kinetics largely impacts carbon partitioning in the reviewed stoichiometry range of cellular constituents. Consecutive metabolic steps mask each other and demand a maximum value understandable as the minimum principle of growth. These fundamental modules need to be clearly distinguished, but may be modified or extended based on process conditions and progress in research. First, discussion of kinetics helps to understand the physiological situation, for which ranges of parameter values are given. Second, kinetics should be used for photobioreactor design, but also for gassing and nutrient optimization. Numerous examples are given for both aspects. Finally, measuring kinetics more comprehensively and precisely will help in improved process development.
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Affiliation(s)
- Kira Schediwy
- Institute of Process Engineering in Life Sciences, Section III: Bioprocess Engineering Karlsruhe Institute of Technology (KIT) Karlsruhe Germany
| | | | - Christian Steinweg
- Institute of Process Engineering in Life Sciences, Section III: Bioprocess Engineering Karlsruhe Institute of Technology (KIT) Karlsruhe Germany
| | - Clemens Posten
- Institute of Process Engineering in Life Sciences, Section III: Bioprocess Engineering Karlsruhe Institute of Technology (KIT) Karlsruhe Germany
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26
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Hong ME, Yu BS, Patel AK, Choi HI, Song S, Sung YJ, Chang WS, Sim SJ. Enhanced biomass and lipid production of Neochloris oleoabundans under high light conditions by anisotropic nature of light-splitting CaCO 3 crystal. BIORESOURCE TECHNOLOGY 2019; 287:121483. [PMID: 31121442 DOI: 10.1016/j.biortech.2019.121483] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/10/2019] [Accepted: 05/13/2019] [Indexed: 06/09/2023]
Abstract
The aim of this work was to study the anisotropic effect of crystalline CaCO3 nanoparticles (CN)-driven multiple refraction/scattering from the CN-coated agglomerated cells on the rate of photosynthesis and the product yield under high light conditions in the freshwater microalgae Neochloris oleoabundans. The CN-coating via biomineralization significantly improved the biomass and lipid production of N. oleoabundans during second stage of autotrophic induction by sustaining relatively high rate of photosynthesis at high irradiance using the multiple-splitting effect of the anisotropic polymorphism. The CN were successfully produced, adsorbed and grown on the external cells under conditions of mild alkalinity (pH 7.5-8.0), mild CaCl2 concentration (0.05 M) and under nitrogen starvation with strong light (400 µE m-2 s-1). Consequently, lipid content and productivity of N. oleoabundans cells cultured with 0.05 M CaCl2 increased by 18.4% and 31.5%, respectively, compared to the cells cultured with 0.05 M CaCl2 and acetazolamide to inhibit calcification.
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Affiliation(s)
- Min Eui Hong
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea
| | - Byung Sun Yu
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea
| | - Anil Kumar Patel
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea
| | - Hong Il Choi
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea
| | - Sojin Song
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea
| | - Young Joon Sung
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea
| | - Won Seok Chang
- Research Institute, Korea District Heating Corp., 92, Gigok-ro, Giheung-gu, Yongin-si, Gyeonggi-do 17099, South Korea
| | - Sang Jun Sim
- Department of Chemical and Biological Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, South Korea.
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27
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Khichi SS, Rohith S, Gehlot K, Dutta B, Ghosh S. Online estimation of biomass, lipid and nitrate dynamic profile using innovative light evolution kinetic model in flat panel airlift photobioreactor for Botryococcus braunii under varying light conditions. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/j.biteb.2019.01.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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28
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Optimizing turbidostatic microalgal biomass productivity: A combined experimental and coarse-grained modelling approach. ALGAL RES 2019. [DOI: 10.1016/j.algal.2019.101439] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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29
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Modeling the impact of rotifer contamination on microalgal production in open pond, photobioreactor and thin layer cultivation systems. ALGAL RES 2019. [DOI: 10.1016/j.algal.2018.101398] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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30
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Janoska A, Andriopoulos V, Wijffels RH, Janssen M. Potential of a liquid foam-bed photobioreactor for microalgae cultivation. ALGAL RES 2018. [DOI: 10.1016/j.algal.2018.09.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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31
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Light attenuation in photobioreactors and algal pigmentation under different growth conditions – Model identification and complexity assessment. ALGAL RES 2018. [DOI: 10.1016/j.algal.2018.08.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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32
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Martínez C, Mairet F, Bernard O. Theory of turbid microalgae cultures. J Theor Biol 2018; 456:190-200. [PMID: 30025981 DOI: 10.1016/j.jtbi.2018.07.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 06/13/2018] [Accepted: 07/13/2018] [Indexed: 10/28/2022]
Abstract
Microalgae can be cultivated in closed or open photobioreactors (PBR). In these systems, light rapidly decreases as it passes through the culture due to the turbidity of the medium. Thus, microalgae experiment different light intensities depending on their position in the medium. In this paper, we study theoretically how the growth rate of microalgae is affected by different factors; incident light intensity, form of the PBR, microalgae population density, turbidity of non-microalgae components, and light path-length of the reactor. We show that for different types of PBR the average growth rate is completely determined by the incident light intensity and the optical depth. In the case of vertical cylindrical PBRs illuminated from above (e.g. race-way or panel-type reactors), we described (and we prove under general assumptions) in details the dependence of the AGR on the aforementioned factors. Finally, we discuss some implications of our analysis; the occurrence of the Allee effect, if light ostensibly limits or inhibits the growth rate in outdoor cultures, and how the geometry of the PBR affects microalgae growth rate and productivity.
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Affiliation(s)
- Carlos Martínez
- Université Côte d' Azur, Inria, INRA, CNRS, UPMC Univ Paris 06, BIOCORE team, France; LOV-UPMC Sorbonne-CNRS, UMR 7093, Station Zoologique, B.P. 28, Villefranche-sur-mer 06234, France; INRIA Sophia Antipolis, 2004, route des Lucioles BP 93, Sophia Antipolis Cedex 06902, France.
| | - Francis Mairet
- Université Côte d' Azur, Inria, INRA, CNRS, UPMC Univ Paris 06, BIOCORE team, France; IFREMER Physiology and Biotechnology of Algae Laboratory, Nantes, France.
| | - Olivier Bernard
- Université Côte d' Azur, Inria, INRA, CNRS, UPMC Univ Paris 06, BIOCORE team, France; LOV-UPMC Sorbonne-CNRS, UMR 7093, Station Zoologique, B.P. 28, Villefranche-sur-mer 06234, France.
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33
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McHardy C, Luzi G, Lindenberger C, Agudo JR, Delgado A, Rauh C. Numerical analysis of the effects of air on light distribution in a bubble column photobioreactor. ALGAL RES 2018. [DOI: 10.1016/j.algal.2018.02.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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34
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Can We Approach Theoretical Lipid Yields in Microalgae? Trends Biotechnol 2018; 36:265-276. [DOI: 10.1016/j.tibtech.2017.10.020] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/29/2017] [Accepted: 10/30/2017] [Indexed: 11/17/2022]
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35
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Fuente D, Keller J, Conejero JA, Rögner M, Rexroth S, Urchueguía JF. Light distribution and spectral composition within cultures of micro-algae: Quantitative modelling of the light field in photobioreactors. ALGAL RES 2017. [DOI: 10.1016/j.algal.2017.01.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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36
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de Mooij T, Nejad ZR, van Buren L, Wijffels RH, Janssen M. Effect of photoacclimation on microalgae mass culture productivity. ALGAL RES 2017. [DOI: 10.1016/j.algal.2016.12.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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37
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Blanken W, Magalhães A, Sebestyén P, Rinzema A, Wijffels RH, Janssen M. Microalgal biofilm growth under day-night cycles. ALGAL RES 2017. [DOI: 10.1016/j.algal.2016.11.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Modeling the competition between antenna size mutant and wild type microalgae in outdoor mass culture. J Biotechnol 2016; 240:1-13. [DOI: 10.1016/j.jbiotec.2016.10.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 10/10/2016] [Accepted: 10/12/2016] [Indexed: 01/09/2023]
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Blanken W, Schaap S, Theobald S, Rinzema A, Wijffels RH, Janssen M. Optimizing carbon dioxide utilization for microalgae biofilm cultivation. Biotechnol Bioeng 2016; 114:769-776. [DOI: 10.1002/bit.26199] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 10/06/2016] [Accepted: 10/10/2016] [Indexed: 01/27/2023]
Affiliation(s)
- Ward Blanken
- Bioprocess Engineering; AlgaePARC, Wageningen University, PO Box 16, 6700 AA; Wageningen The Netherlands
| | - Stefan Schaap
- Bioprocess Engineering; AlgaePARC, Wageningen University, PO Box 16, 6700 AA; Wageningen The Netherlands
| | - Sophie Theobald
- Bioprocess Engineering; AlgaePARC, Wageningen University, PO Box 16, 6700 AA; Wageningen The Netherlands
| | - Arjen Rinzema
- Bioprocess Engineering; AlgaePARC, Wageningen University, PO Box 16, 6700 AA; Wageningen The Netherlands
| | - René H. Wijffels
- Bioprocess Engineering; AlgaePARC, Wageningen University, PO Box 16, 6700 AA; Wageningen The Netherlands
- Faculty of Biosciences and Aquaculture; Nord University, N-8049; Bodø Norway
| | - Marcel Janssen
- Faculty of Biosciences and Aquaculture; Nord University, N-8049; Bodø Norway
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de Mooij T, de Vries G, Latsos C, Wijffels RH, Janssen M. Impact of light color on photobioreactor productivity. ALGAL RES 2016. [DOI: 10.1016/j.algal.2016.01.015] [Citation(s) in RCA: 107] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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