Microalgae: Cultivation, Biotechnological, Environmental, and Agricultural Applications

Andrade, Diva Souza; Amaral, Higo Forlan; Gavilanes, Freddy Zambrano; Morioka, Luiz Rodrigo Ito; Nassar, Jordana Mayra; Melo, Jessica Muniz de; Silva, Helder Rodrigues; Telles, Tiago Santos

doi:10.1007/978-981-15-8999-7_23

Cited by 14 publications

(6 citation statements)

References 240 publications

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“…Microalgae farming technology has enabled a shift in agricultural operations from the sea onto land over recent decades, offering better control, economies of scale, and greater ease of harvesting than macroalgae farming. Microalgae are a highly-productive and low-greenhouse-gas emission cash crop requiring only modest investment in equipment: a microalgae farm does not require arable land and can use waste water [6,7]; microalgae grow fast, are continually harvestable [7], and can sequester carbon dioxide [8,9]. Moreover, microalgae are highly nutritious with up to 60% protein content [8], rich in vitamins and minerals [10], and are associated with health benefits [10], which adds to their appeal and value.…”

Section: Introductionmentioning

confidence: 99%

Deep Image Analysis Methods for Microalgae Identification

Soar,

Lih,

Hui Wen

et al. 2023

Preprint

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Plant-based protein sources derived from microalgae offer promise as low-carbon emission and nutrient-dense sources for human consumption. The current management of microalgae cultivation relies heavily on manual microscopic examination in order to identify desired and competing species, as well as predators. In this study, we trained and tested a transfer learning model modified from EfficientNetV2 B3 on 434 and 161 prospectively acquired images of the preferred Nannochloropsis sp microalgae and competitor Spirulina, respectively, and achieved &gt;98% classification for both species on tenfold cross-validation. The model was further enhanced with gradient-weighted class activation mapping, which allowed visualization of regions of the input images that were relevant to the classification, thereby improving its explainability. In this paper, we demonstrate that a simple deep transfer learning model can be used to identify microalgae species. The application addresses the practical need for robust automated monitoring of microalgae populations on industrial microalgae farms.

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Section: Introductionmentioning

confidence: 99%

Deep Image Analysis Methods for Microalgae Identification

Soar,

Lih,

Hui Wen

et al. 2023

Preprint

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“…These metabolites are produced by the different critical metabolic pathways and as intermediates within microalgae. The metabolites can be utilized as a precursor for the synthesis of various important products [ 1 , 2 ]. The advantage of microalgae is that they utilize light energy to grow photoautotrophically with CO 2 and mixotrophically with sugars.…”

Section: Introductionmentioning

confidence: 99%

Microalgal Biorefinery Concepts’ Developments for Biofuel and Bioproducts: Current Perspective and Bottlenecks

Sivaramakrishnan

Suresh

Kanwal

et al. 2022

IJMS

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Microalgae have received much interest as a biofuel feedstock. However, the economic feasibility of biofuel production from microalgae does not satisfy capital investors. Apart from the biofuels, it is necessary to produce high-value co-products from microalgae fraction to satisfy the economic aspects of microalgae biorefinery. In addition, microalgae-based wastewater treatment is considered as an alternative for the conventional wastewater treatment in terms of energy consumption, which is suitable for microalgae biorefinery approaches. The energy consumption of a microalgae wastewater treatment system (0.2 kW/h/m3) was reduced 10 times when compared to the conventional wastewater treatment system (to 2 kW/h/m3). Microalgae are rich in various biomolecules such as carbohydrates, proteins, lipids, pigments, vitamins, and antioxidants; all these valuable products can be utilized by nutritional, pharmaceutical, and cosmetic industries. There are several bottlenecks associated with microalgae biorefinery. Hence, it is essential to promote the sustainability of microalgal biorefinery with innovative ideas to produce biofuel with high-value products. This review attempted to bring out the trends and promising solutions to realize microalgal production of multiple products at an industrial scale. New perspectives and current challenges are discussed for the development of algal biorefinery concepts.

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“…Microalgae are an exceptionally diverse group of photosynthetic marine microorganisms that represent the most numerous forms of life in marine ecosystems. It is known from the literature that the estimated 72 k species of microalgae provide an important contribution to the marine environment and ecosystems [ 1 , 2 , 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…These microorganisms can grow in a variety of environments and conditions, from the deepest marine system to the polar, playing an essential role in the evolution of life as the planet’s primary producers of oxygen and the most abundant food source for marine animals [ 2 , 3 , 5 ]. Diatoms are important marine microalgae, interesting not only for their ecological role but also for their ability to synthesize bioactive compounds useful for both human nutrition and nutraceutical and pharmaceutical applications [ 4 , 6 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Culture Conditions Affect Antioxidant Production, Metabolism and Related Biomarkers of the Microalgae Phaeodactylum tricornutum

et al. 2022

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Phaeodactylum tricornutum (Bacillariophyta) is a worldwide-distributed diatom with the ability to adapt and survive in different environmental habitats and nutrient-limited conditions. In this research, we investigated the growth performance, the total lipids productivity, the major categories of fatty acids, and the antioxidant content in P. tricornutum subjected for 15 days to nitrogen deprivation (N-) compared to standard culture conditions (N+). Furthermore, genes and pathways related to lipid biosynthesis (i.e., glucose-6-phosphate dehydrogenase, acetyl-coenzyme A carboxylase, citrate synthase, and isocitrate dehydrogenase) and photosynthetic activity (i.e., ribulose-1,5-bisphospate carboxylase/oxygenase and fucoxanthin-chlorophyll a/c binding protein B) were investigated through molecular approaches. P. tricornutum grown under starvation condition (N-) increased lipids production (42.5 ± 0.19 g/100 g) and decreased secondary metabolites productivity (phenolic content: 3.071 ± 0.17 mg GAE g-1; carotenoids: 0.35 ± 0.01 mg g−1) when compared to standard culture conditions (N+). Moreover, N deprivation led to an increase in the expression of genes involved in fatty acid biosynthesis and a decrease in genes related to photosynthesis. These results could be used as indicators of nitrogen limitation for environmental or industrial monitoring of P. tricornutum.

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Microalgae: Cultivation, Biotechnological, Environmental, and Agricultural Applications

Cited by 14 publications

References 240 publications

Deep Image Analysis Methods for Microalgae Identification

Deep Image Analysis Methods for Microalgae Identification

Microalgal Biorefinery Concepts’ Developments for Biofuel and Bioproducts: Current Perspective and Bottlenecks

Culture Conditions Affect Antioxidant Production, Metabolism and Related Biomarkers of the Microalgae Phaeodactylum tricornutum

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