Modeling of phycocyanin production from Spirulina platensis using different light-emitting diodes

Rivera, Christian; Niño, Lilibeth; Gelves, Ricardo

doi:10.1016/j.sajce.2021.05.005

Cited by 8 publications

(8 citation statements)

References 27 publications

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“…In general, light in the blue spectral range shows good penetration in water, and can be efficiently absorbed by chlorophyll and carotenoids, but a too high dose of blue light can result in non-photochemical quenching processes [ 55 ]. Light in the red spectral range can be efficiently absorbed by chlorophyll and phycocyanin [ 56 , 57 ], resulting in high biomass concentrations and growth rates, reported in recent studies [ 11 , 34 , 58 , 59 , 60 ].…”

Section: Resultsmentioning

confidence: 99%

Modeling and Optimizing the Effect of Light Color, Sodium Chloride and Glucose Concentration on Biomass Production and the Quality of Arthrospira platensis Using Response Surface Methodology (RSM)

Nosratimovafagh

Fereidouni

Krujatz

2022

Life

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Arthrospira platensis (Spirulina) biomass is a valuable source of sustainable proteins, and the basis for new food and feed products. State-of-the-art production of Spirulina biomass in open pond systems only allows limited control of essential process parameters, such as light color, salinity control, or mixotrophic growth, due to the high risk of contaminations. Closed photobioreactors offer a highly controllable system to optimize all process parameters affecting Spirulina biomass production (quantity) and biomass composition (quality). However, a comprehensive analysis of the impact of light color, salinity effects, and mixotrophic growth modes of Spirulina biomass production has not been performed yet. In this study, Response Surface Methodology (RSM) was employed to develop statistical models, and define optimal mixotrophic process conditions yielding maximum quantitative biomass productivity and high-quality biomass composition related to cellular protein and phycocyanin content. The individual and interaction effects of 0, 5, 15, and 30 g/L of sodium chloride (S), and 0, 1.5, 2, and 2.5 g/L of glucose (G) in three costume-made LED panels (L) where the dominant color was white (W), red (R), and yellow (Y) were investigated in a full factorial design. Spirulina was cultivated in 200 mL cell culture flasks in different treatments, and data were collected at the end of the log growth phase. The lack-of-fit test showed that the cubic model was the most suitable to predict the biomass concentration and protein content, and the two-factor interaction (2FI) was preferred to predict the cellular phycocyanin content (p > 0.05). The reduced models were produced by excluding insignificant terms (p > 0.05). The experimental validation of the RSM optimization showed that the highest biomass concentration (1.09, 1.08, and 0.85 g/L), with improved phycocyanin content of 82.27, 59.47, 107 mg/g, and protein content of 46.18, 39.76, 53.16%, was obtained under the process parameter configuration WL4.28S2.5G, RL10.63S1.33G, and YL1.00S0.88G, respectively.

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Section: Resultsmentioning

confidence: 99%

Modeling and Optimizing the Effect of Light Color, Sodium Chloride and Glucose Concentration on Biomass Production and the Quality of Arthrospira platensis Using Response Surface Methodology (RSM)

Nosratimovafagh

Fereidouni

Krujatz

2022

Life

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“…The total PBP production and each PBP individually were chiefly promoted by red light treatment (apart from control, p > 0.05). These pigments tend to absorb under a yellow-red range, and several studies point at the red light as a stimulator of biomass growth and increased production of PBPs (in particular PC) [ 11 , 40 , 55 , 56 ]. For instance, in Arthrospira platensis subjected to different light qualities using LED (red, white, green, and yellow), PC was preferentially stimulated under the red spectrum [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

“…These pigments tend to absorb under a yellow-red range, and several studies point at the red light as a stimulator of biomass growth and increased production of PBPs (in particular PC) [ 11 , 40 , 55 , 56 ]. For instance, in Arthrospira platensis subjected to different light qualities using LED (red, white, green, and yellow), PC was preferentially stimulated under the red spectrum [ 55 ]. These pigments have massive importance for the mechanisms of adaptation and regulation to different types of light; most cyanobacteria possess CCA mechanisms that help in transient reconfiguration of their phycobilisome, with an alteration of PC/PE ratios, in order to better adapt the organism to the quality and quantity of incident radiation from the environment [ 6 ].…”

Section: Discussionmentioning

confidence: 99%

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Light Modulation for Bioactive Pigment Production in Synechocystis salina

et al. 2022

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Cyanobacteria are microorganisms that are well-adapted to sudden changes in their environment, namely to light conditions. This has allowed them to develop mechanisms for photoprotection, which encompass alteration in pigment composition. Therefore, light modulation appears to be a suitable strategy to enhance the synthesis of specific pigments (e.g., phycocyanin) with commercial interest, in addition to conveying a more fundamental perspective on the mechanisms of acclimatization of cyanobacterium species. In this study, Synechocystis salina was accordingly cultivated in two light phase stages: (i) white LED, and (ii) shift to distinct light treatments, including white, green, and red LEDs. The type of LED lighting was combined with two intensities (50 and 150 µmolphotons·m−2·s−1). The effects on biomass production, photosynthetic efficiency, chlorophyll a (chl a) content, total carotenoids (and profile thereof), and phycobiliproteins (including phycocyanin, allophycocyanin, and phycoerythrin) were assessed. White light (under high intensity) led to higher biomass production, growth, and productivity; this is consistent with higher photosynthetic efficiency. However, chl a underwent a deeper impact under green light (high intensity); total carotenoids were influenced by white light (high intensity); whilst red treatment had a higher effect upon total and individual phycobiliproteins. Enhanced PC productivities were found under modulation with red light (low intensities), and could be achieved 7 days earlier than in white LED (over 22 days); this finding is quite interesting from a sustainability and economic point of view. Light modulation accordingly appears to be a useful tool for supplementary studies pertaining to optimization of pigment production with biotechnological interest.

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“…[2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54],…”

Section: Introductionunclassified

A CMOS Algae Growth Period Monitor for Algaculture Applications

et al. 2022

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In this work, a complementary metal-oxidesemiconductor (CMOS) algae growth period monitor is newly investigated for algaculture applications. The proposed monitor includes an algae sensor and a CMOS converter. The proposed monitor can transform the algae growth period into a duty cycle linearly. Through the duty cycle of the proposed CMOS converter, the algae growth status could be easily and quickly obtained. In addition, in order to be adaptively utilized in different kinds of algae growth environments, the proposed CMOS converter has a wide differential rail-to-rail voltage to the current converter and the adjustment sensitivity circuits. The measured wide-range differential rail-to-rail voltage of the CMOS converter was from −1.5 to 1.5 V, and the range of output duty cycle corresponded from 1.04% to 99.3%. The sensitivities could be varied to 41.21%/V, 32.8%/V, 27.38%/V, and 23.5%/V, respectively. The measured range of algae growth period was 1 to 5.5 days, and the range of output duty cycle was 24.96%-90.19% under different concentrations of algae nutrients (0.6‰, 0.8‰, and 1‰). A 0.49% of the measured maximum linear error was obtained. Lastly, two types of algae (Nannochloropsis sp. and Isochrysis galbana) were experimented. Convinced by the measurements and experiments, the proposed CMOS algae growth period monitor had correct functionalities for algaculture applications.

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Modeling of phycocyanin production from Spirulina platensis using different light-emitting diodes

Cited by 8 publications

References 27 publications

Modeling and Optimizing the Effect of Light Color, Sodium Chloride and Glucose Concentration on Biomass Production and the Quality of Arthrospira platensis Using Response Surface Methodology (RSM)

Modeling and Optimizing the Effect of Light Color, Sodium Chloride and Glucose Concentration on Biomass Production and the Quality of Arthrospira platensis Using Response Surface Methodology (RSM)

Light Modulation for Bioactive Pigment Production in Synechocystis salina

A CMOS Algae Growth Period Monitor for Algaculture Applications

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