Evidence map›Paper›PMID 41249255›Full record

ArticleScientific reports2025

Development of a recycling technology for abnormally occurring oysters using molten alkali hydroxide.

Shuhan Zhang, Takaaki Wajima

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Shuhan ZhangDepartment of Urban Environmental Systems, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba, 263-85222, Japan. choushokan@gmail.com.
Takaaki WajimaDepartment of Materials Science, Graduate School of Engineering, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of marine fouling organisms on coastal infrastructure-especially the treatment and disposal of shellfish waste-poses a persistent environmental and operational challenge. This study seeks to develop a simplified and effective treatment strategy for addressing "abnormally occurring" shellfish populations. Oysters sourced from Shirako-cho, Chiba Prefecture, Japan, served as the primary material for the experiment. The hydroxide alkali fusion method was applied to reduce the final volume and weight of the oysters. This study involved varying the alkali hydroxide mixing ratio (KOH:NaOH = 1:0, 3:1, 1:1, 1:3, 0:1) and reaction temperature (200-500 °C) to investigate the potential self-powdering of oyster shells and the decomposition process of oyster meat. The results indicated that without the addition of molten hydroxide, the shell samples maintained their original form within the 200-500 °C range without powderization. Conversely, when molten hydroxide was introduced, all shell samples achieved self-pulverization at temperatures ≥ 200 °C across all mixing ratios. The decomposition of oyster meat exceeded 80% at 200 °C for all mixing ratios (KOH:NaOH = 1:0, 1:1, 0:1). Furthermore, alkali fusion treatment of a whole oyster with KOH at 200 °C resulted in simultaneous shell powdering and meat decomposition. These findings highlight the method's ability to reduce oyster shell and meat concurrently at low temperatures without the need for prior crushing or incineration, offering insights for developing novel approaches to manage shellfish waste.

Indexed as

AlkaliesHydroxidesOstreidaeRecyclingShellfishAnimalsAnimal ShellsTemperatureAlkaliesHydroxidesAlkali fusionLow temperatureMolten alkali hydroxideOystersSelf-pulverizationShellfish waste

Identifiers

PMID41249255
PMCPMC12623482

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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.