Evidence map›Paper›PMID 42100454›Full record

ArticleRSC advances2026

Dynamic light scattering-assisted design of an optimized NiS-ZnS nanocomposite for efficient photocatalytic dye degradation: experimental and theoretical insights.

Muhammad Younas Afzal, Muhammad Bilal, Muhammad Asif, Saeed Rehman, Jamshaid Hussain, Qing Liu, Hamza Khan, Nadia Riaz, Farooq Ahmad, Muhammad Tahir Amin and 1 more

Abstract read
In one paragraph

Article in RSC advances, 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

11 authors.

Muhammad Younas AfzalDepartment of Chemistry, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan ahson@cuiatd.edu.pk.
Muhammad BilalDepartment of Environmental Sciences, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan mbilal@cuiatd.edu.pk.ORCID https://orcid.org/0009-0001-5853-0835
Muhammad AsifDepartment of Environmental Sciences, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan mbilal@cuiatd.edu.pk.ORCID https://orcid.org/0000-0001-5366-9996
Saeed RehmanSchool of Environment and Resources, Laboratory of Solid Waste Treatment and Resource Recycle, Southwest University of Science and Technology Mianyang 621010 China.
Jamshaid HussainDepartment of Biotechnology, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan.
Qing LiuCollege of Chemical Engineering, Nanjing Tech University NO. 30 Puzhu South Road(S) Nanjing 211816 PR China.ORCID https://orcid.org/0000-0003-3844-6086
Hamza KhanDepartment of Chemistry, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan ahson@cuiatd.edu.pk.
Nadia RiazDepartment of Environmental Sciences, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan mbilal@cuiatd.edu.pk.
Farooq AhmadDepartment of Chemical and Materials Engineering, Northern Border University Arar 91431 Kingdom of Saudi Arabia.
Muhammad Tahir AminDepartment of Civil and Environmental Engineering, College of Engineering, King Faisal University Al-Ahsa 31982 Saudi Arabia mqdir@kfu.edu.sa.
Ahson Jabbar ShaikhDepartment of Chemistry, COMSATS University Islamabad Abbottabad Campus, KPK Abbottabad - 22060 Pakistan ahson@cuiatd.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrial dye pollutants demand efficient photocatalysts for sustainable wastewater treatment. Here, we report the synthesis of pure NiS, ZnS, and a negatively charged, optimized NiS-ZnS nanocomposite (NC)

Identifiers

PMID42100454
PMCPMC13147230

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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.