Evidence map›Paper›PMID 38383925›Full record

ArticleEnvironmental science and pollution research international2024

Asynchronous application of modified biochar and exogenous fungus Scedosporium sp. ZYY for enhanced degradation of oil-contaminated intertidal mudflat sediment.

Edidiong Okokon Atakpa, Bozhi Yan, Samuel Ukpong Okon, Qing Liu, Dongdong Zhang, Chunfang Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2024. 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, top 98% of its field
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, 0 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Edidiong Okokon AtakpaInstitute of Marine Biology and Pharmacology, Ocean College, Zhejiang University, Zhoushan, 316021, Zhejiang, China.
Bozhi YanCollege of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541006, China.
Samuel Ukpong OkonInstitute of Port, Coastal, and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan, 316021, China.
Qing LiuCollege of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541006, China.
Dongdong ZhangInstitute of Marine Biology and Pharmacology, Ocean College, Zhejiang University, Zhoushan, 316021, Zhejiang, China.
Chunfang ZhangInstitute of Marine Biology and Pharmacology, Ocean College, Zhejiang University, Zhoushan, 316021, Zhejiang, China. zhangcf@zju.edu.cn.ORCID http://orcid.org/0000-0003-1329-9630
Zhejiang Ocean University · CNGuilin University of Technology · CN

Funding

Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology No.2001K004National Natural Science Foundation of China No. 51978189
6 · The paper itself

Abstract

Intertidal mudflats are susceptible to oil pollution due to their proximity to discharges from industries, accidental spills from marine shipping activities, oil drilling, pipeline seepages, and river outflows. The experimental study was divided into two periods. In the first period, microcosm trials were carried out to examine the effect of chemically modified biochar on biological hydrocarbon removal from sediments. The modified biochar's surface area increased from 2.544 to 25.378 m

Indexed as

CharcoalPetroleumScedosporiumBiodegradation, EnvironmentalCarbonFungiHydrocarbonsRNA, Ribosomal, 16SbiocharCarbonCharcoalHydrocarbonsPetroleumRNA, Ribosomal, 16SBacterial communityBioremediationExogenous microorganismsIntertidal mudflatsMarine sedimentModified biochar

Identifiers

PMID38383925
OpenAlexW4391993058

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.