Modeling the light attenuation phenomenon during photoautotrophic growth of <i>A. variabilis</i><scp>ATCC</scp> 29413 in a batch photobioreactor

Salleh, Siti Fatihah; Kamaruddin, Azlina Harun; Uzir, Mohamad Hekarl; Mohamed, Abdul Rahman; Shamsuddin, Abd Halim

doi:10.1002/jctb.5013

Cited by 8 publications

(7 citation statements)

References 47 publications

(50 reference statements)

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“…On the other hand, from the experimental data obtained in the photobiorreactors continuously illuminated at the highest PPFs (Figs 1-3) it can be seen that steady-state was not reached after 9 days culture due to an inhibition phenomenon; this behavior was previously reported by Salleh et al 9 This phenomenon is numerically represented by the value of K i . For the Haldane-based model K i = 73.52 μmol m −2 s −1 at low PPF (Table 3) and K i = 387.80 μmol m −2 s −1 at the highest PPF (Table 4).…”

Section: Discussionsupporting

confidence: 65%

“…The expression proposed by John Burdon Sanderson Haldane to describe the microbial specific growth rate has been widely used to establish a relationship between limiting substrate utilization and microbial growth under the inhibitory effect of the substrate. For microalgae growing in a photobioreactor, Haldane's specific growth rate expression is, structurally, a non‐linear mathematical expression that can be written as:

μ_{H} = \frac{μ_{maxH} I}{K_{H} + I + \frac{I^{2}}{K_{i}}}

…”

Section: Methodsmentioning

confidence: 99%

“…Another expression able to describe microbial specific growth rate is one proposed by Monod. In the case of light‐limited processes and for microalgal growth, Monod's specific growth rate on can be written as:

μ_{M} = \frac{μ_{maxM} I}{K_{M} + I}

…”

Section: Methodsmentioning

confidence: 99%

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Kinetic model selection to describe the growth curve of Arthrospira (Spirulina) maxima in autotrophic cultures

Escalante

Reyna‐Angeles

Villafaña‐Rojas

et al. 2016

J of Chemical Tech & Biotech

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BACKGROUND Currently, microbial products are gaining worldwide importance. Arthrospira (Spirulina) maxima is one of the most widely studied microorganisms whose industrial importance is due to its ability to accumulate high amounts of good‐quality proteins; as a consequence, research efforts of many health food and aquaculture industries are focused on the development of tools to optimize the commercial exploitation of this microalgae (cyanobacteria). Kinetic models can appropriately describe the patterns of growth and product formation, which are necessary for any biotechnological process using microorganisms. Some primary, secondary or even more complex kinetic models have been used to depict the growth of microalgae, but to the best of our knowledge, little has been done to choose the most appropriate one. RESULTS The present contribution addresses the selection of a kinetic model to describe the growth curve of Arthrospira maxima by considering Akaike's weights as a measure that simultaneously considers the goodness‐of‐fit and the complexity of the model (i.e. number of parameters). Specifically, Haldane‐based, Monod‐based, and logistic kinetic models are considered as candidates to describe the growth of A. maxima under autotrophic conditions. CONCLUSION The logistic model, which is the most parsimonious, should be selected to describe the growth of A. maxima within a photobioreactor either in continuous light operation or in dark/light cycles at several light intensities. The selection of this model will allow implementation of simpler monitoring, control, and optimization schemes. © 2016 Society of Chemical Industry

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Section: Discussionsupporting

confidence: 65%

μ_{H} = \frac{μ_{maxH} I}{K_{H} + I + \frac{I^{2}}{K_{i}}}

…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Kinetic model selection to describe the growth curve of Arthrospira (Spirulina) maxima in autotrophic cultures

Escalante

Reyna‐Angeles

Villafaña‐Rojas

et al. 2016

J of Chemical Tech & Biotech

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“…(Zhang et al, 2015). On the other hand, Salleh et al (2017) reported a value of 6 d −1 for Anabaena variabilis . It should be taken into account that this parameter represents a growth condition that can hardly occur in reality where, even if nutrients are supplied in excess, light will always play an important effect on the actual growth and respiration of the photosynthetic microorganisms.…”

Section: Resultsmentioning

confidence: 98%

Continuous Cultivation as a Method to Assess the Maximum Specific Growth Rate of Photosynthetic Organisms

Barberà¹,

Grandi

Borella

et al. 2019

Front. Bioeng. Biotechnol.

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Modeling the growth of photosynthetic organisms is challenging, due to the complex role of light, which can be limiting because of self-shading, or photoinhibiting in the case of high intensities. A case of particular interest is represented by nitrogen-fixing cyanobacteria, whose growth is controlled not only by the light intensity, but also by the availability of atmospheric nitrogen in the liquid medium. The determination of the maximum specific growth rate is often affected by many variables that, in batch growth systems, may change significantly. On the other hand, in a continuous system, once the steady state is reached the values of all the process variables remain constant, including the biomass concentration and the specific light supply rate. In this work, the diazotrophic cyanobacterium Anabaena PCC 7122 was cultivated in continuous photobioreactors, to investigate the role of nitrogen, light and residence time on growth kinetics, and to retrieve the value of the maximum specific growth rate of this organism. In addition, the kinetic parameters for temperature and the half saturation constant for nitrogen (3 mg L−1) were measured by respirometric tests. Based on the results of continuous experiments, the specific maintenance rate was found to depend on the light intensity supplied to the reactor, ranging between 0.5 and 0.8 d−1. All these parameters were used to develop a kinetic model able to describe the biomass growth in autotrophic conditions. The maximum specific growth rate could hence be determined by applying the kinetic model in the material balances of the continuous photobioreactor, and resulted equal to 8.22 ± 0.69 d−1.

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“…Experiments establishing T. variabilis growth profiles have classically used, as proxies for biomass accumulation, parameters such as photosynthetic potential / capacity and cell density at specified wavelengths . These have been applied in studying the effects of altering various physicochemical factors such as light and nutrient supply, on T. variabilis phototrophic or heterotrophic growth. A large number of studies have investigated T. variabilis growth rate as a function of time, cell density, or photosynthesis components, but only a few have directly surveyed the interrelation between multiple parameters.…”

Section: Physico‐chemical Factors Affect T Variabilis Biomass Producmentioning

confidence: 99%

Bioenergy production using Trichormus variabilis – a review

Abedi

Astaraei

Ghobadian

et al. 2019

Biofuels Bioprod Bioref

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Fossil-fuel processing and consumption contaminates air, soil, and water resources through the release of hazardous chemicals. The harnessing of renewable energy resources and development of sustainable technologies have become prime targets of research and increased investment to protect the environment. The use of bio-based feedstocks in energy production provides a valuable pollutioncurbing pathway with sustainability credentials, especially when wastewater is used to provide the nutrient requirements. The filamentous cyanobacterium Trichormus variabilis has attracted substantial attention from researchers due to its potential for dual industrial functions in bioenergy production and bioremediation. This species can use the power of sunlight energy efficiently to fix atmospheric CO 2 and to generate valuable chemical compounds, such as carbohydrates and fatty acids, which can be converted to biofuels. As it grows in nutrient-rich wastewater (industrial effluent) it can serve as a bioabsorbant and replace costly chemical catalysts and nano-materials traditionally used for the removal of nutrients and metals. However, no recent review has presented the potential for state-of-the-art T. variabilisdriven phycoremediation-bioenergy production systems. This review suggests possible routes from phycoremediation to energy production as a strategy for developing the industrial application of T. variabilis. It brings important research results on this species together and highlights major related challenges and opportunities. It explores the current status of the use of algae in bioremediation and the production of liquid and gaseous fuels utilizing wild-type and mutants of T. variabilis. Finally, key points underlying the potential for future research on optimization of robust technologies for supplying sustainable bioenergy using this organism are presented.

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Modeling the light attenuation phenomenon during photoautotrophic growth of A. variabilisATCC 29413 in a batch photobioreactor

Cited by 8 publications

References 47 publications

Kinetic model selection to describe the growth curve of Arthrospira (Spirulina) maxima in autotrophic cultures

Kinetic model selection to describe the growth curve of Arthrospira (Spirulina) maxima in autotrophic cultures

Continuous Cultivation as a Method to Assess the Maximum Specific Growth Rate of Photosynthetic Organisms

Bioenergy production using Trichormus variabilis – a review

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