ArticleMembranes2026
Membrane Distillation: Module Design and Application Performance.
Article in Membranes, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Membrane distillation (MD) has emerged as a thermal process used in desalination, wastewater treatment, and resource recovery. It has demonstrated high salt rejection, but process scale-up is affected by unstable process performance caused by membrane fouling and scaling, limitations of heat and mass transfer, and module design challenges. The research outputs presented here assess membrane module design and configurations, hydrodynamic optimization, understanding of membrane fouling, and its control in long-term and intermittent process operation. Furthermore, the integration of crystallization, resource recovery from wastewater, and techno-economic feasibility are also elucidated. The collective findings showed that optimization of the modules, process operating conditions, and the integration of crystallization could improve MD performance stability and resource recovery. Beyond crystallization, MD has demonstrated the ability to recover nutrients from anaerobic digestate, suggesting process expansion directions. These findings provide insights into the key requirements for MD implementation at an industrial scale.
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.