Evidence map›Paper›PMID 42598594›Full record

ArticleEnvironmental science and ecotechnology2026

Integrated facility-level framework enables practical phosphorus recovery under real-world constraints.

Chuan Zhao, Takashi Onodera, Kazuyo Matsubae

Abstract read
In one paragraph

Article in Environmental science and ecotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chuan ZhaoGraduate School of Environmental Studies, Tohoku University, Sendai, 980-8572, Japan.
Takashi OnoderaRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan.
Kazuyo MatsubaeGraduate School of Environmental Studies, Tohoku University, Sendai, 980-8572, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorus is a finite resource essential to global food security, yet many import-dependent regions face increasing supply risks from concentrated reserves and geopolitical disruption. While municipal wastewater sludge offers a promising domestic secondary source of phosphorus, large-scale recovery remains limited by uncertainty over practical yields under real-world engineering and economic constraints. Previous assessments have often relied on aggregated data that obscure facility-specific conditions, leaving recoverable potential poorly constrained and potentially overstated. Here we developed an integrated facility-level framework connecting treatment scale, process configuration, phosphorus speciation, costs and spatial distribution, and applied it to a nationwide dataset for Japan. Results showed that engineering constraints reduced theoretical recovery by 34-63%, yet an integrated pathway combining decentralized aqueous-phase recovery with centralized ash leaching could still make a substantial contribution to the national target of agricultural phosphorus supply. Realizing this potential requires targeted incentives to address pronounced cost heterogeneity across facilities and coordinated spatial redistribution of recovered products. By establishing constraint-integrated modeling approaches, this work provides a transferable basis for evaluating recovery pathways, prioritizing investment and designing implementation strategies in other import-dependent regions seeking to advance circular phosphorus economies.

Indexed as

Facility-level frameworkPhosphorus recoverySewage sludgeSpatial optimizationTechno-economic assessment

Identifiers

PMID42598594
PMCPMC13471947

What OpenQuestion holds

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Registered trials

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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.