Evidence map›Paper›PMID 40383819›Full record

ArticleBMC chemistry2025

Optimization of variables for cadmium and copper removal using magnetic nanocomposite.

Chou-Yi Hsu, Mohammed Ahmed Mustafa, Ghadir Kamil Ghadir, Pooja Bansal, Harpreet Kaur, Amjed Qasim Mohammed, Alzahraa S Abdulwahid, Ahmed Remthan Hussein, Sahira Qasim Namaha, Ahmed Ali Ami and 3 more

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Article in BMC chemistry, 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
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0citing papers in PubMed
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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

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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

13 authors.

Chou-Yi HsuDepartment of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan City, 71710, Taiwan.
Mohammed Ahmed MustafaDepartment of Biology, College of Education, University of Samarra, Samarra, 34010, Iraq.
Ghadir Kamil GhadirDepartment of Computer Engineering, Institute of Graduate Programs, Al-Turath University, Al Mansour, Baghdad, 10013, Iraq.
Pooja BansalDepartment of Biotechnology and Genetics, Jain (Deemed-to-Be) University, Bengaluru, Karnataka, 560069, India.
Harpreet KaurSchool of Basic & Applied Sciences, Shobhit University, Gangoh, Uttar Pradesh, 247341, India.
Amjed Qasim MohammedDepartment of Dentistry, Al-Manara College for Medical Sciences, University of Misan, Amarah, Maysan, Iraq.
Alzahraa S AbdulwahidDepartment of Medical Engineering, Al-Hadi University College, Baghdad, 10011, Iraq.
Ahmed Remthan HusseinFaculty of Science, Mazaya University College, Nasiriyah, Iraq.
Sahira Qasim NamahaCollege of Dentistry, Al-Esraa University, Baghdad, Iraq.
Ahmed Ali AmiDepartment of Medical Laboratories Technology, Al-Nisour University College, Baghdad, Iraq.
Usama Kadem RadiCollege of Pharmacy, National University of Science and Technology, Nasiriyah, Iraq.
Laith H AlzubaidiCollege of Technical Engineering, The Islamic University of Najaf, Najaf, Iraq.
Ali KazemiSchool of Public Health, Tehran University of Medical Sciences, Tehran, Iran. alikazemichem@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate cadmium and copper ultrasound-assisted removal efficiency on a laboratory scale using a cobalt ferrite/activated carbon (COF/AC) composite as an adsorbent. For this purpose, the effect of four independent variables (i.e., composite amount, pH, heavy metal concentrations, and ultrasound radiation time) on the performance of the cadmium and copper removal was investigated. The COF/AC composite was characterized using scanning electron microscopy (SEM), energy-dispersive X-ray (EDX), Brunauer-Emmett-Teller (BET), X-ray diffraction (XRD), and vibrating-sample magnetometer (VSM). The SEM and XRD techniques showed the successful synthesis of the COF/AC composite. The COF/AC composite has a surface area of 659.4 m

Indexed as

CadmiumCopperOptimizationRemoval

Identifiers

PMID40383819
PMCPMC12087181

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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.