Evidence map›Paper›PMID 41820446›Full record

ArticleScientific reports2026

Statistical optimization for removal of basic dyes from aqueous solutions using chitosan-assembled zinc oxide nanocomposite.

Xue Li, Yanfeng Fang, Xiaoping Tang

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Xue LiCollege of Yuanpei, Shaoxing University, Shaoxing, 312000, China. lixue0289@sina.com.
Yanfeng FangCollege of Yuanpei, Shaoxing University, Shaoxing, 312000, China.
Xiaoping TangCollege of Yuanpei, Shaoxing University, Shaoxing, 312000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, the removal of basic blue 41 (BB41) and basic red 46 (BR46) dyes from aqueous solutions was systematically studied using chitosan-assembled zinc oxide nanocomposite (CTS/ZnO) as an efficient adsorbent. The synthesized CTS/ZnO nanocomposite was characterized by X-Ray diffraction (XRD), point of zero charge (pHpzc), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM) analyses, confirming its crystalline porous-like surface structure with a rough and heterogeneous surface morphology and a pHpzc of 5.6. The effects of four critical parameters— CTS/ZnO dosage, solution pH, and initial concentration under ultrasonic irradiation —were evaluated using response surface methodology (RSM) within the framework of central composite design (CCD). Second-order polynomial models were established to predict the adsorption performance, and analysis of variance (ANOVA) confirmed the high adequacy of the models (R² > 0.99). The optimum conditions were found at pH of 7, CTS/ZnO dosage of 0.18 g, initial concentration of 16 mg L⁻¹, and sonication time of 36 min. Under optimum conditions, the removal efficiencies reached 96.19% for BB41 and 91.87% for BR46. Regeneration studies revealed that the adsorbent maintained more than 60% of its original capacity after four adsorption–desorption cycles, highlighting its reusability and stability. Furthermore, real water tests demonstrated removal efficiencies between 88.01% and 82.38% for BB41 and BR46, confirming the practical applicability of CTS/ZnO nanocomposite for environmental remediation. Overall, the findings suggest that CTS/ZnO nanocomposite is a promising, low-cost, and recyclable adsorbent for the simultaneous removal of organic dyes from contaminated waters.

Indexed as

Central composite designChitosan-assembled zinc oxide nanocompositeRemovalResponse surface methodologyWastewater treatment

Identifiers

PMID41820446
PMCPMC13106793

What OpenQuestion holds

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Registered trials

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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.