Review3 Biotech2025
Advancements in photobioreactor designs for development of microalgal biorefinery toward integrated remediation of industrial wastewater and product recovery.
Review in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microalgae are considered as the most promising self-reliant feedstock and a potential source of value-added products viz. carbohydrates, carotenoids, lipids, proteins, and polymers, for applications in food and nutrition, cosmetics, pharmaceuticals and biofuels. The mandate for sustainable production of various renewable and value-added products has exaggerated microalgae cultivation. However, the commercial applications of microalgae-based value-added products are still limited due to the high production cost. The present study has systematically discussed various photobioreactor archetypes along with physicochemical factors (light, temperature, pH, nutrients, mixing, oxygen and carbon dioxide concentration, gas exchange, salinity) affecting biomass productivity and process integrations. The study has also highlighted the modeling and simulation of bioreactor designs along with applications of artificial intelligence and machine learning in the design and process development. Microalgae-based circular bioeconomy has also been discussed. The study present valuable perspectives for subsequent investigations focused on creating commercially feasible, large-scale microalgae growth systems. Development of sustainable strategies is required for rationalized nutrient recycling and bioproducts recovery in process coupling for elevation in microalgal biomass productivity for commercial applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.