Investigation and modeling of biomass decay rate in the dark and its potential influence on net productivity of solar photobioreactors for microalga Chlamydomonas reinhardtii and cyanobacterium Arthrospira platensis

Stochastic LCA Model of Upscaling the Production of Microalgal Compounds

Microalgae are currently being investigated for their promising metabolites but assessing the environmental impact of producing these compounds remains a challenge. Microalgae cultivation performance results from the complex interaction of biological, technological, geographical, and physical factors, which bioengineers try to optimize during the upscaling process. The path from the discovery of a microalgal compound to its industrial production is therefore highly uncertain. Nonetheless, it is key to anticipate the potential environmental impacts associated with the future production of a microalgal target compound. This is achieved in this study by developing an ex-ante, parameterized, and consequential LCA model that performs dynamic simulations of microalgae cultivation. The model is applied to calculate the environmental impacts of 9000 stochastically generated combinations of photobioreactor geometries and operational setups. The demonstration of the model is done for a fictive microalgal strain, parameterized to resemble Chlorella vulgaris, and a fictive target compound assumed to be a carbohydrate. The simulations are performed in Aalborg, Denmark, and Granada, Spain to appreciate geographical variability, which highly affects the requirements for thermoregulation. Open-source documentation allows full reproducibility and further use of the model for the ex-ante assessment of microalgal products.

Recombinant Bovine and Human Osteopontin Generated by Chlamydomonas reinhardtii Exhibit Bioactivities Similar to Bovine Milk Osteopontin When Assessed in Mouse Pups Fed Osteopontin-Deficient Milk

SCOPE

Osteopontin (OPN), a highly phosphorylated and glycosylated protein, is present in most body fluids, including milk. OPN appears at a high concentration in human milk (130-180 mg L^-1 ), but not bovine milk (≈18 mg mL^-1 ). It is previously shown that milk OPN is involved in various biological processes and therefore may be a valuable infant formula additive.

METHODS AND RESULTS

In the present study, recombinant bovine OPN (rbOPN) and recombinant human OPN (rhOPN) are generated in a Chlamydomonas reinhardtii (C. reinhardtii) algal expression system. The rbOPN and rhOPN are phosphorylated but not glycosylated. To assess the bioactivities of rbOPN and rhOPN and compare their bioactivities to those of bovine milk OPN (bmOPN), wild-type (WT) mouse pups nursed by OPN knock-out (KO) dams are orally fed bmOPN, rbOPN, and rhOPN daily from postnatal days 1-21 (P1-21). Effects of these OPNs on development of the brain, intestine, and immune function are evaluated. The results show that rbOPN and rhOPN exhibit effects similar to those of bmOPN as well as mouse milk OPN on stimulating proliferation of the small intestine, increasing brain myelination and cognitive development, and enhancing development of immune function.

CONCLUSION

rbOPN and rhOPN are likely to provide beneficial bioactivities when added to infant diets.

A review on photobioreactor design and modelling for microalgae production

From the cell to the photobioreactor and to the industrial exploitation of microalgae, through the controlled experiments and modelling.

A study of photosynthetic biogas upgrading based on a high rate algal pond under alkaline conditions: Influence of the illumination regime

Microalgal-bacterial processes have emerged as environmental friendly systems for the cost-effective treatment of anaerobic effluents such as biogas and nutrients-laden digestates. Environmental parameters such as temperature, irradiation, nutrient concentration and pH effect the performance of the systems. In this paper, the potential of a microalgal-bacterial photobioreactor operated under high pH (≈9.5) and high alkalinity to convert biogas into biomethane was evaluated. The influence of the illumination regime (continuous light supply vs 12h/12h light/dark cycles) on the synthetic biogas upgrading efficiency, biomass productivity and nutrient removal efficiency was assessed in a High-Rate Algal Pond interconnected to a biogas absorption bubble column. No significant differences in the removal efficiency of CO₂ and H₂S (91.5±2% and 99.5%±0.5, respectively) were recorded regardless of the illumination regime. The high fluctuations of the dissolved oxygen concentration during operation under light/dark cycles allowed to evaluate the specific growth rate and the specific partial degradation rate of the microalgae biomass by photosynthesis and respiration, respectively. The respiration reduced the net microalgae biomass productivity under light/dark cycles compared with process operation under the continuous light supply.

Characterization of unusual truncated hemoglobins of Chlamydomonas reinhardtii suggests specialized functions

Annotated hemoglobin genes in Chlamydomonas reinhardtii form functional globins, despite unusual architectures. Spectral characteristics show subtle biochemical differences. Multiple globins might help the alga to cope with its versatile environment. The unicellular green alga C. reinhardtii is a photosynthetic, often soil-dwelling organism, subjected to a changeable environment in nature. The alga contains 12 genes encoding so-called truncated hemoglobins that feature a two-on-two helical fold instead of the three-on-three helix arrangement of the long-studied vertebrate globins or plant symbiotic and non-symbiotic hemoglobins. In plants, non-symbiotic hemoglobins often play a role in acclimation to stress, and we could show recently that one of the C. reinhardtii globin genes is vital for anoxic growth. Here, three further globin encoding transcripts (Cre16.g661000.t1.1, Cre16.g661300.t2.1 and Cre16.g662750.t1.2) were heterologously expressed along with the recently studied THB1. UV-Vis and X-ray absorption spectroscopy analyses show that the sequences indeed encode functional hemoglobins, despite their uncommon primary sequences, which include long C-termini without any predictable function, or a split heme-binding domain. The proteins show some variations regarding the coordination of the heme iron or the interaction with diatomic ligands, indicating different functionalities. The respective transcripts are not responsive to the nitrogen source, in contrast to results reported for THB1, but they accumulate in darkness. This work advances experimental data on the very large globin family in general, and, more specifically, on hemoglobins in photosynthetic organisms.

Full-scale validation of a model of algal productivity

While modeling algal productivity outdoors is crucial to assess the economic and environmental performance of full-scale cultivation, most of the models hitherto developed for this purpose have not been validated under fully relevant conditions, especially with regard to temperature variations. The objective of this study was to independently validate a model of algal biomass productivity accounting for both light and temperature and constructed using parameters experimentally derived using short-term indoor experiments. To do this, the accuracy of a model developed for Chlorella vulgaris was assessed against data collected from photobioreactors operated outdoor (New Zealand) over different seasons, years, and operating conditions (temperature-control/no temperature-control, batch, and fed-batch regimes). The model accurately predicted experimental productivities under all conditions tested, yielding an overall accuracy of ±8.4% over 148 days of cultivation. For the purpose of assessing the feasibility of full-scale algal cultivation, the use of the productivity model was therefore shown to markedly reduce uncertainty in cost of biofuel production while also eliminating uncertainties in water demand, a critical element of environmental impact assessments. Simulations at five climatic locations demonstrated that temperature-control in outdoor photobioreactors would require tremendous amounts of energy without considerable increase of algal biomass. Prior assessments neglecting the impact of temperature variations on algal productivity in photobioreactors may therefore be erroneous.