Evidence map›Paper›PMID 34684704›Full record

ArticleMolecules (Basel, Switzerland)2021

Highly Porous Hydroxyapatite/Graphene Oxide/Chitosan Beads as an Efficient Adsorbent for Dyes and Heavy Metal Ions Removal.

Nguyen Van Hoa, Nguyen Cong Minh, Hoang Ngoc Cuong, Pham Anh Dat, Pham Viet Nam, Pham Hau Thanh Viet, Pham Thi Dan Phuong, Trang Si Trung

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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

8 authors.

Nguyen Van HoaFaculty of Food Technology, Nha Trang University, Nha Trang 650000, Vietnam.ORCID 0000-0002-7476-2943
Nguyen Cong MinhInstitute for Biotechnology and Environment, Nha Trang University, Nha Trang 650000, Vietnam.
Hoang Ngoc CuongFaculty of Biotechnology, Binh Duong University, Thu Dau Mot 55000, Vietnam.
Pham Anh DatFaculty of Food Technology, Nha Trang University, Nha Trang 650000, Vietnam.
Pham Viet NamFaculty of Fishery, Ho Chi Minh City University of Food Industry, Ho Chi Minh City 70000, Vietnam.
Pham Hau Thanh VietFaculty of Chemistry, Da Lat University, Dalat 670000, Vietnam.
Pham Thi Dan PhuongFaculty of Food Technology, Nha Trang University, Nha Trang 650000, Vietnam.
Trang Si TrungFaculty of Food Technology, Nha Trang University, Nha Trang 650000, Vietnam.

Funding

Ministry of Education and Training B2019-TSN-562-14
6 · The paper itself

Abstract

Dye and heavy metal contaminants are mainly aquatic pollutants. Although many materials and methods have been developed to remove these pollutants from water, effective and cheap materials and methods are still challenging. In this study, highly porous hydroxyapatite/graphene oxide/chitosan beads (HGC) were prepared by a facile one-step method and investigated as efficient adsorbents. The prepared beads showed a high porosity and low bulk density. SEM images indicated that the hydroxyapatite (HA) nanoparticles and graphene oxide (GO) nanosheets were well dispersed on the CTS matrix. FT-IR spectra confirmed good incorporation of the three components. The adsorption behavior of the obtained beads to methylene blue (MB) and copper ions was investigated, including the effect of the contact time, pH medium, dye/metal ion initial concentration, and recycle ability. The HGC beads showed rapid adsorption, high capacity, and easy separation and reused due to the porous characteristics of GO sheets and HA nanoparticles as well as the rich negative charges of the chitosan (CTS) matrix. The maximum sorption capacities of the HGC beads were 99.00 and 256.41 mg g

Indexed as

absorbentbeadschitosangraphene oxidehydroxyapatitewastewater treatment

Identifiers

PMID34684704
PMCPMC8538019

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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.