Evidence map›Paper›PMID 40098039›Full record

ArticleBMC chemistry2025

Adsorption of heavy metals from wastewater using reduced graphene oxide@titanate hybrids in batch and fixed bed systems.

Xiutao Yang, Pan Liu, Hongwen Yu

Abstract read
In one paragraph

Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Xiutao YangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Rd, Changchun, 130102, P. R. China.
Pan LiuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Rd, Changchun, 130102, P. R. China.
Hongwen YuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Rd, Changchun, 130102, P. R. China. yuhw@iga.ac.cn.

Funding

the Project of Science Development Plan of Jilin Province YDZJ202201ZYTS488the Strategic Priority Research Program of the Chinese Academy of Sciences XDA28010502
6 · The paper itself

Abstract

Wastewater contaminated by heavy metal ions poses serious threats to the ecosystem, needing to be well disposed of. In this study, reduced graphene oxide@titanate hybrids (rGOTHs) are synthesized to efficiently remove heavy metals from wastewater in batch and fixed bed systems. The size of prepared rGOTHs is large as hundreds of microns, which is beneficial for separation and application in batch and fixed bed system. In the batch studies, rGOTHs exhibits the fast adsorption rate and high adsorption capacity towards heavy metals, in which the adsorption kinetic and isothermal are best fitted to Pseudo-second-order kinetic model and Langmuir model, respectively. The maximum adsorption capacities of rGOTHs for Pb(II), Cd(II) and Cu(II) are 530.5, 201 and 130.5 mg/g at 298 K and pH 5, respectively. In addition, the exhausted adsorbent can be easily regenerated in alkaline hydrothermal process and the high removal efficiency is almost reserved after six cycles. Moreover, rGOTHs presents higher selective adsorption towards Pb(II) than other ions. Adsorption mechanisms are revealed to be ions exchange, electrostatic interaction, and coordination. In the fixed bed experiments, the effective treatment volume of rGOTHs-loaded column reaches to 2760 BV (15.45 L) for single Pb(II) polluted battery manufactory wastewater and 2280 BV (12.76 L) for multiple heavy metal polluted estuary effluent, before Pb(II) concentration exceeds the discharge limit of 1 mg/L. Our study demonstrates the great potential of rGOTHs to be applied in practical treatment of wastewater contaminated by heavy metal ions.

Indexed as

AdsorptionGraphene oxideHeavy metalsTitanate

Identifiers

PMID40098039
PMCPMC11917053

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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.