Characterization and Application in Biocomposites of Residual Microalgal Biomass Generated in Third Generation Biodiesel

Toro, Claudio; Reddy, Murali M.; Navia, Rodrigo; Rivas, Mariella; Misra, Manjusri; Mohanty, Amar K.

doi:10.1007/s10924-013-0609-8

Cited by 32 publications

(18 citation statements)

References 29 publications

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“…In case of nitrogen repletion, all nitrogen is taken up within certain ranges. This can be proven by continuous turbidostat cultivations with increasing nitrogen source content in [62,[70][71][72][73][74]. The lightest part of the inner circle (fraction of potential accumulation) displays the remaining fraction of the cell.…”

Section: Stoichiometry Of Macromolecular Compositionmentioning

confidence: 97%

“…[]. A minimum of 35% of the cell consist necessarily of certain constituents according to the reviewed data (Figure , ). This fraction seems to maintain the activity of essential metabolic pathways as well as the cellular structure.…”

Section: Nutrient Uptake and Stoichiometrymentioning

confidence: 99%

“…Variability of the cellular composition of microalgal dry mass in photoautotrophic cultivations. The ranges of the biomass composition are illustrated as the lower boundaries inside and the upper boundaries outside the black circle . The lightest part of the inner circle (fraction of potential accumulation) displays the remaining fraction of the cell.…”

Section: Nutrient Uptake and Stoichiometrymentioning

confidence: 99%

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Microalgal kinetics — a guideline for photobioreactor design and process development

Schediwy

Trautmann

Steinweg

et al. 2019

Engineering in Life Sciences

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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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Section: Stoichiometry Of Macromolecular Compositionmentioning

confidence: 97%

Section: Nutrient Uptake and Stoichiometrymentioning

confidence: 99%

Section: Nutrient Uptake and Stoichiometrymentioning

confidence: 99%

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Microalgal kinetics — a guideline for photobioreactor design and process development

Schediwy

Trautmann

Steinweg

et al. 2019

Engineering in Life Sciences

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“…2 showed the FTIR spectra of Taihu blue algae and PBSA/blue algae composites. For blue algae, the bands around 1539 cm −1 and 1648 cm −1 corresponded to amide II (N-H stretching) and amide bands of amide I (C=O stretching) respectively [23,24], indicating the existence of protein component; The peak around 1049 cm −1 represented the C-N bond of protein or the C-O-C bond of polysaccharide [24,25]. The weak narrow peak from 2750 cm −1 to 3000 cm −1 represented the C-H bond of aliphatic fats [25,26].…”

Section: Characterization Of Taihu Blue Algaementioning

confidence: 99%

“…For blue algae, the bands around 1539 cm −1 and 1648 cm −1 corresponded to amide II (N-H stretching) and amide bands of amide I (C=O stretching) respectively [23,24], indicating the existence of protein component; The peak around 1049 cm −1 represented the C-N bond of protein or the C-O-C bond of polysaccharide [24,25]. The weak narrow peak from 2750 cm −1 to 3000 cm −1 represented the C-H bond of aliphatic fats [25,26]. The PBSA/blue algae composites and neat PBSA exhibited similar spectra, while the intensity of characteristic peaks for protein enhanced with increasing the blue algae loading in the composite.…”

Section: Characterization Of Taihu Blue Algaementioning

confidence: 99%

Fabrication and Characterization of Biodegradable Composites from Poly (Butylene Succinate-Co-Butylene Adipate) and Taihu Lake Blue Algae

Xia

Zhu

et al. 2017

Advanced Composites Letters

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Biodegradable composites from poly (butylene succinate-co-butylene adipate) (PBSA) and Taihu Lake (Wuxi, China) blue algae were prepared by melt blending. The property and structure of biocomposites were investigated. By adding extra amount of water to blue algae, the formulated blue algae acted as a plastic in the composites during blending, and exhibited a reinforcing effect on the PBSA matrix. With increasing blue algae content, the thermal stability of the composites decreased; the tensile strength at break and elongation at break of the composites reduced, but the Young's modulus of the composites increased. However, the composite with 30% blue algae loading still exhibited good mechanical performance (tensile strength at break of 21.3 MPa, elongation at break of 180%). The fabrication of value-added PBSA/algae composites appeared as an effective approach to reduce the secondary environmental pollution of Taihu blue algae.

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Biorefinery of microalgae – opportunities and constraints for different production scenarios

Hariskos

Posten

2014

Biotechnology Journal

108

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In order to design economically feasible production processes it is necessary, as part of the biorefinery concept, to valorize all constituents of the microalgal biomass. Such an approach requires appropriate biorefinery side-process strategies to be adapted to production of the primary product. These strategies are particularly valid for microalgae, since the composition and amount of residual biomass can vary significantly depending on cell stoichiometry and cultivation techniques. This review investigates opportunities and constraints for biorefinery concepts in production scenarios for four different products from microalgae with different market volumes, including high- and medium-value products, whole cells and biodiesel. Approaches to close material and energy balances, as well as to adapt the biorefinery according to biological potential, process routes, and market needs are presented, which will further contribute to making the biorefinery concept a success.

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Characterization and Application in Biocomposites of Residual Microalgal Biomass Generated in Third Generation Biodiesel

Cited by 32 publications

References 29 publications

Microalgal kinetics — a guideline for photobioreactor design and process development

Microalgal kinetics — a guideline for photobioreactor design and process development

Fabrication and Characterization of Biodegradable Composites from Poly (Butylene Succinate-Co-Butylene Adipate) and Taihu Lake Blue Algae

Biorefinery of microalgae – opportunities and constraints for different production scenarios

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