Pilot-scale outdoor photobioreactor culture of the marine dinoflagellate Karlodinium veneficum: Production of a karlotoxins-rich extract

López-Rosales, L.; Sánchez-Mirón, A.; Camacho, F. Garcı́a; Place, Allen R.; Chisti, Yusuf; Molina-Grima, E.

doi:10.1016/j.biortech.2017.12.101

Cited by 14 publications

(2 citation statements)

References 40 publications

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“…The NaCl concentration of 40 g L −1 (combined with twice basal medium concentration) improved the growth and productivity. This agrees with López‐Rosales et al (2018), who attempted to optimize several cultivation parameters in order to increase the growth of strain K10 in a bioreactor. Several other studies mention lower salinities, (i.e.…”

Section: Discussionsupporting

confidence: 89%

Karlodinium veneficum: Growth optimization, metabolite characterization and biotechnological potential survey

Assunção

Amaro²,

Lopes

et al. 2022

Journal of Applied Microbiology

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Aim of this study: The major aim of this work was to consistently optimize the production of biomass of the dinoflagellate Karlodinium veneficum and evaluate its extracts biotechnological potential application towards food, nutraceutical or/and pharmaceutical industries. Methods and results:A successful approach of biomass production of K. veneficum CCMP 2936 was optimized along with the chemical characterization of its metabolite profile. Several temperatures (12, 16, 20, 25, 30°C), L1 nutrient concentrations (0.5×, 2×, 2.5×, 3×) and NaCl concentrations (20, 25, 30, 40 g L −1 ) were tested. The growth rate was maximum at 16°C, 2× nutrient concentration and 40 g L −1 of NaCl; hence, these conditions were chosen for bulk production of biomass. Methanolic extracts were prepared, and pigments, lipids and phenolic compounds were assessed; complemented by antioxidant and anti-inflammatory capacities, and cytotoxicity.Fucoxanthin and derivatives accounted for 0.06% of dry weight, and up to 60% (w/w) of all quantified metabolites were lipids. Said extracts displayed high antioxidant capacity, as towards assessed via the NO •− and ABTS •+ assays (IC 50 = 109.09 ± 6.73 and 266.46 ± 2.25 µg E ml −1 , respectively), unlike observed via the O 2•− assay (IC 25 reaching 56.06 ± 5.56 µg E ml −1 ). No signs of cytotoxicity were observed.Conclusions: Karlodinium veneficum biomass production was consistently optimized in terms of temperature, L1 nutrient concentrations and NaCl concentration.In addition, this strain appears promising for eventual biotechnological exploitation. Significance and Impact of the Study:This work provides fundamental insights about the growth and potential of value-added compounds of dinoflagellate K. veneficum. Dinoflagellates, as K. veneficum are poorly studied regarding its biomass production and added-value compounds for potential biotechnological exploitation.These organisms are difficult to maintain and grow in the laboratory. Thus, any fundamental contribution is relevant to share with the scientific community.

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Section: Discussionsupporting

confidence: 89%

Karlodinium veneficum: Growth optimization, metabolite characterization and biotechnological potential survey

Assunção

Amaro²,

Lopes

et al. 2022

Journal of Applied Microbiology

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“…Under the guidance of association rules, using global statistical information to extract the characteristics of marine fishery culture cost [33], the optimized objective function is as follows:…”

Section: Fuzzy Clustering Function Of Marine Fishery Costmentioning

confidence: 99%

Application of Big Data Analysis in Cost Control of Marine Fishery Breeding

2022

Discrete Dynamics in Nature and Society

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In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. The objective model of aquaculture cost control is established, and the cost constraint is carried out by the parameter optimization method. The statistical feature quantity of marine fishery cost control is obtained, and the cost control of marine fishery is realized by the feature recombination method. The simulation results show that this method is more stable in the cost control of marine fishery culture and improves the adaptability of the cost control of marine fishery culture.

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Bioactive Compounds from Microalgae and Their Potential Applications as Pharmaceuticals and Nutraceuticals

Chu

Phang

2019

Grand Challenges in Algae Biotechnology

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Pilot-scale outdoor photobioreactor culture of the marine dinoflagellate Karlodinium veneficum: Production of a karlotoxins-rich extract

Cited by 14 publications

References 40 publications

Karlodinium veneficum: Growth optimization, metabolite characterization and biotechnological potential survey

Karlodinium veneficum: Growth optimization, metabolite characterization and biotechnological potential survey

Application of Big Data Analysis in Cost Control of Marine Fishery Breeding

Bioactive Compounds from Microalgae and Their Potential Applications as Pharmaceuticals and Nutraceuticals

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