Evidence map›Paper›PMID 42576813›Full record

ArticleWater environment research : a research publication of the Water Environment Federation2026

Effect of Mixed Coal Fly Ash (CFA) and Oyster Shells (OS) on Benthic Nutrient Removal in Eutrophic Coastal Sediments: Microcosm Experiment.

Nurfarhana Nabila Mohd Noor, Hee-Eun Woo, Niang Ndeye Fatou, Jong-Oh Kim, Kyunghoi Kim

Abstract read
In one paragraph

Article in Water environment research : a research publication of the Water Environment Federation, 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

5 authors.

Nurfarhana Nabila Mohd NoorInstitute of Sustainable Earth and Environmental Dynamics (SEED), Pukyong National University, Busan, Republic of Korea.ORCID https://orcid.org/0009-0002-8356-8744
Hee-Eun WooInstitute of Sustainable Earth and Environmental Dynamics (SEED), Pukyong National University, Busan, Republic of Korea.
Niang Ndeye FatouDepartment of Ocean Engineering, Pukyong National University, Busan, Republic of Korea.
Jong-Oh KimInstitute of Sustainable Earth and Environmental Dynamics (SEED), Pukyong National University, Busan, Republic of Korea.ORCID https://orcid.org/0000-0002-1764-1045
Kyunghoi KimDepartment of Ocean Engineering, Pukyong National University, Busan, Republic of Korea.ORCID https://orcid.org/0000-0003-2447-9856

Funding

Ministry of Education RS-2023-00301702Ministry of Oceans and Fisheries, Korea RS-2026-25532898
6 · The paper itself

Abstract

Valorization of mariculture and industrial solid wastes of oyster shell (OS) and coal fly ash (CFA) into granulated sediment amendments offers a cost-effective and environmentally sustainable alternative to conventional landfill disposal. This study evaluates the geochemical effects of granulated OS-CFA at three mixing ratios (1:1, 1:3, and 3:1) on nutrient dynamics in polluted coastal sediments through a 120-day microcosm experiment. Thermally treated OS-CFA enhances pollutant adsorption by increasing porosity and active surface sites, effectively suppressing nutrient release from sediment into overlying water. Hydrolysis of CaO, the main component in OS and CFA, releases Ca

Indexed as

Animal ShellsCoal AshGeologic SedimentsOstreidaeWater Pollutants, ChemicalAnimalsCalcium CompoundsEutrophicationHydrogen-Ion ConcentrationNitrogenPhosphatesCalcium CompoundsCoal AshNitrogenPhosphatesWater Pollutants, Chemicalcapping materialcoal fly ashnutrientsoyster shellsphosphate removal

Identifiers

PMID42576813
PMCPMC13458960

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.