ReviewiScience2026
Advancing microalgae biomass cultivation for an integrated sustainable wastewater treatment and resource recovery.
Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microalgae have emerged as a promising bioresource for the integrated treatment of effluent, the production of biomass, and the mitigation of carbon emissions, thereby contributing to the Sustainable Development Goals (SDGs 7 and 13). This review summarizes the most recent developments in the management of wastewater using microalgae, with a particular focus on resource recovery and process integration. Nevertheless, challenges such as oxygen accumulation, biofouling, high energy demand, and scale-up constraints persist, despite the fact that configurations such as tubular, flat-panel, and bubble-column reactors offer flexibility across scales. Additionally, the topic of the integration of artificial intelligence and machine learning is addressed in order to address process constraints by means of predictive modeling, real-time optimization, and enhanced strain and process selection. In conclusion, this review offers a concentrated viewpoint on the advancement of sustainable microalgae systems by integrating technological and biological innovations.
Indexed as
Identifiers
What OpenQuestion holds
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.