Evidence map›Paper›PMID 41275000›Full record

ArticleScientific reports2025

Ultrasound-assisted abamectin removal using magnetic activated carbon from orange peel embedded in chitosan hydrogel beads.

Mehdi Barzegarzadeh, Mohammad Sadegh Amini-Fazl

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mehdi BarzegarzadehAdvanced Polymer Material Research Laboratory, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Mohammad Sadegh Amini-FazlAdvanced Polymer Material Research Laboratory, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran. ms.aminifazl2024@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abamectin is a toxic environmental contaminant posing serious health risks; thus, its removal from water is essential. In this study, chitosan-based hydrogel beads containing varying amounts of magnetic activated carbon were synthesized and utilized for the removal of abamectin from wastewater. Characterization studies confirmed the successful preparation of the composites: FTIR spectra revealed functional groups and MAC-chitosan interactions, XRD confirmed the crystalline features, FESEM showed the uniform dispersion of MAC within the hydrogel matrix, and BET analysis demonstrated that the specific surface area of chitosan hydrogel beads increased from 28.61 m²/g to 43.86 m²/g after MAC incorporation. Batch adsorption studies showed that the chitosan-based hydrogel with 30% magnetic activated carbon achieved nearly 99.95% removal efficiency under Taguchi-optimized conditions (30 mg/L initial concentration, 1.5 g/L adsorbent dosage, pH 5, and 60 min contact time). The nonlinear analysis of adsorption isotherms of different models showed that the adsorption process followed the Toth model when ultrasound was applied and the Sips model in the absence of ultrasound. According to the Langmuir model, the maximum adsorption capacity increased from 71 mg/g to 152 mg/g in the presence of ultrasound, an improvement primarily attributed to the cavitation phenomenon. Moreover, this study is the first to demonstrate that ultrasonication significantly enhances abamectin removal efficiency by considerably shortening the equilibrium time and reducing energy consumption during abamectin adsorption. Also, the evaluation of desorption and reuse revealed that the abamectin adsorption efficiency decreased from 99.95% to 81.8% following eight cycles. This study is the first to demonstrate that ultrasonication significantly enhances abamectin adsorption on MAC-chitosan hydrogel beads. Moreover, the application of ultrasound considerably reduces the adsorption cost, lowering it from 2.9 $/g to 1.5 $/g. However, some limitations, such as partial loss of efficiency after repeated cycles and the need for scale-up studies, remain to be addressed in future research.

Indexed as

CharcoalChitosanCitrus sinensisHydrogelsIvermectinWater Pollutants, ChemicalWater PurificationAdsorptionHydrogen-Ion ConcentrationSpectroscopy, Fourier Transform InfraredabamectinCharcoalChitosanHydrogelsIvermectinWater Pollutants, ChemicalAbamectinHydrogel beadsOrange peelUltrasound-assisted adsorption

Identifiers

PMID41275000
PMCPMC12749667

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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.