Evidence map›Paper›PMID 35681981›Full record

ArticleInternational journal of environmental research and public health2022

Promising Low-Cost Adsorbent from Waste Green Tea Leaves for Phenol Removal in Aqueous Solution.

Asmat Ali, Maria Siddique, Wei Chen, Zhixin Han, Romana Khan, Muhammad Bilal, Ummara Waheed, Irum Shahzadi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 2 countries.

Asmat AliSchool of Environmental Studies, China University of Geosciences, Wuhan 430078, China.
Maria SiddiqueDepartment of Environmental Sciences, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Wei ChenSchool of Environmental Studies, China University of Geosciences, Wuhan 430078, China.ORCID 0000-0002-7724-3014
Zhixin HanGeological Exploration Institute of Shandong Zhengyuan, China Metallurgical Geology Bureau, Tai'an 271000, China.
Romana KhanDepartment of Environmental Sciences, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Muhammad BilalDepartment of Environmental Sciences, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.ORCID 0000-0003-3053-9149
Ummara WaheedInstitute of Plant Breeding and Biotechnology, MNS University of Agriculture, Multan 59300, Pakistan.
Irum ShahzadiDepartment of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
COMSATS University Islamabad · PKChina University of Geosciences · CNChina Metallurgical Geology Bureau · CNMuhammad Nawaz Shareef University of Agriculture · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenol is the most common organic pollutant in many industrial wastewaters that may pose a health risk to humans due to its widespread application as industrial ingredients and additives. In this study, waste green tea leaves (WGTLs) were modified through chemical activation/carbonization and used as an adsorbent in the presence of ultrasound (cavitation) to eliminate phenol in the aqueous solution. Different treatments, such as cavitation, adsorption, and sono-adsorption were investigated to remove the phenol. The scanning electron microscope (SEM) morphology of the adsorbent revealed that the structure of WGTLs was porous before phenol was adsorbed. A Fourier Transform Infrared (FTIR) analysis showed an open chain of carboxylic acids after the sono-adsorption process. The results revealed that the sono-adsorption process is more efficient with enhanced removal percentages than individual processes. A maximum phenol removal of 92% was obtained using the sono-adsorption process under an optimal set of operating parameters, such as pH 3.5, 25 mg L

Indexed as

PhenolWater Pollutants, ChemicalAdsorptionHumansHydrogen-Ion ConcentrationKineticsPhenolsPlant LeavesSpectroscopy, Fourier Transform InfraredTeaThermodynamicsWaterPhenolPhenolsTeaWaterWater Pollutants, Chemicallow-cost adsorbentphenolsono-adsorptionwaste green tea leaves (WGTLs)wastewater treatment

Identifiers

PMID35681981
PMCPMC9180375
OpenAlexW4281554958

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.