Correlation between viscosity, temperature and total solid content of algal biomass

Schneider, Nico; Gerber, Mandy

doi:10.1016/j.biortech.2014.07.107

Cited by 37 publications

(14 citation statements)

References 26 publications

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“…Figure 7 shows a good linear relationship and positive correlation (R 2 = 0.93) between the biomass concentration and limiting viscosity of P. cruentum. This finding confirmed that the microalgae concentration significantly influenced the rheological properties of microalgal suspensions, 15,55 indicating that the viscosity of microalgae could indirectly reflect the biomass concentration of the microalgae. This result was in line with another red microlaga Rhodosorus marinus which reached its highest viscosity when the biomass concentration or EPS aggregation reached a maximum.…”

Section: Correlation Between P Cruentum Biomass and Limiting Viscositysupporting

confidence: 70%

Evaluation of the effect of agitation speed on the growth and high‐value LC‐PUFA formation of Porphyridium cruentum based on basic rheological analysis

Wang

et al. 2019

J of Chemical Tech & Biotech

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BACKGROUND: The selection of hydrodynamic properties of microalgae such as agitation speed is usually done according to empirical values without a technical basis, and the selected agitation speeds are not consistent with each other in many references. In this study, we aimed to provide a possible technical basis for the setup of the agitation speed of microalgae suspensions based on basic rheological analysis, in terms of viscosity of microalgae suspensions at different agitation speeds, using the red microalga Porphyridium cruentum as a model. RESULTS:The agitation speed of 150 rpm was optimal for P. cruentum cultivation, with its biomass concentration increased by about 19-57% compared with the microalgae cultured at other agitation speeds. Meanwhile, the content of linoleic acid, arachidonic acid and total fatty acids increased by maximum 103%, 58% and 48%, respectively, compared with those at other agitation speeds. Furthermore, a low rotational speed was beneficial for eicosapentaenoic acid formation (which increased by 72-106%). CONCLUSION: Basic rheological analysis of microalgal suspensions can be used as a guide in setting a reasonable and suitable agitation speed. Meanwhile, the agitation speed could affect both the biomass growth and the formation of certain high-value products of microalgae.

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Section: Correlation Between P Cruentum Biomass and Limiting Viscositysupporting

confidence: 70%

Evaluation of the effect of agitation speed on the growth and high‐value LC‐PUFA formation of Porphyridium cruentum based on basic rheological analysis

Wang

et al. 2019

J of Chemical Tech & Biotech

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“…For example, suspensions of C. vulgaris started to show non-Newtonian behavior at concentrations above 60 g L −1 [46], while the suspensions of C. pyrenoidosa showed non-Newtonian behavior at concentrations above 150 g L −1 [45]. This phenomenon was also observed for other strains of microalgae, e.g., suspensions of Nanochloropsis salina in a range of 9.74-24.01% total solids [47] and Scenedesmus obliquus in a range of 0-150 g L −1 [48]. The increased viscosity could result in insufficient mixing and heat transfer, the reduction in water availability, and the irreversible binding of enzymes to the substrate [49].…”

Section: Methodssupporting

confidence: 52%

Enhancing Hydrogen Production from Chlorella sp. Biomass by Pre-Hydrolysis with Simultaneous Saccharification and Fermentation (PSSF)

et al. 2019

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Simultaneous saccharification and fermentation (SSF) and pre-hydrolysis with SSF (PSSF) were used to produce hydrogen from the biomass of Chlorella sp. SSF was conducted using an enzyme mixture consisting of 80 filter paper unit (FPU) g-biomass−1 of cellulase, 92 U g-biomass−1 of amylase, and 120 U g-biomass−1 of glucoamylase at 35 °C for 108 h. This yielded 170 mL-H2 g-volatile-solids−1 (VS), with a productivity of 1.6 mL-H2 g-VS−1 h−1. Pre-hydrolyzing the biomass at 50 °C for 12 h resulted in the production of 1.8 g/L of reducing sugars, leading to a hydrogen yield (HY) of 172 mL-H2 g-VS−1. Using PSSF, the fermentation time was shortened by 36 h in which a productivity of 2.4 mL-H2 g-VS−1 h−1 was attained. To the best of our knowledge, the present study is the first report on the use of SSF and PSSF for hydrogen production from microalgal biomass, and the HY obtained in the study is by far the highest yield reported. Our results indicate that PSSF is a promising process for hydrogen production from microalgal biomass.

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“…x of the particle represents the position coordinate of the particle; is p represents the optimal position searched for the position of the i-th particle so far; gs p represents the optimal position searched for the entire particle group;  is a non-negative number, called a dynamic constant, used to control the influence of the previous speed [10]. The local search ability can be adjusted by changing the size of  ; 12 , cc is called a learning factor; 12 , rr is a pseudo-random number independent of each other, obeying the uniform distribution on [0,1].…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Research on Temperature Control System of Plant Factory Based on Particle Swarm Optimization

2019

Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering

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In order to solve the problems of complex temperature control and inaccurate regulation in plant factories, this paper starts from the actual model of plant factory, uses STM32 processor with embedded Cortex-M3 as the core, and collects the plant factory through Modbus fieldbus technology. Temperature information, using the MATLAB tool to derive the temperature control model of the plant growth cabinet. Finally, the fuzzy control algorithm and particle swarm optimization (PSO) optimization algorithm are used to control the temperature control model with two different PIDs. By establishing the MATLAB simulation model, the optimal control method under the plant growth cabinet model is obtained. The results show that compared with fuzzy PID, PID control based on PSO algorithm has good stability and regulation, and plants based on this environment can get better growth.

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Correlation between viscosity, temperature and total solid content of algal biomass

Cited by 37 publications

References 26 publications

Evaluation of the effect of agitation speed on the growth and high‐value LC‐PUFA formation of Porphyridium cruentum based on basic rheological analysis

Evaluation of the effect of agitation speed on the growth and high‐value LC‐PUFA formation of Porphyridium cruentum based on basic rheological analysis

Enhancing Hydrogen Production from Chlorella sp. Biomass by Pre-Hydrolysis with Simultaneous Saccharification and Fermentation (PSSF)

Research on Temperature Control System of Plant Factory Based on Particle Swarm Optimization

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