Evidence map›Paper›PMID 34834122›Full record

ArticleMolecules (Basel, Switzerland)2021

Investigating the Influence of Column Depth on the Treatment of Textile Wastewater Using Natural Zeolite.

Timoth Mkilima, Kulyash Meiramkulova, Ubaidulayeva Nurbala, Amanbek Zandybay, Mansur Khusainov, Nurgul Nurmukhanbetova, Lyazzat Tastanova, Toghan Mashan, Abdilda Meirbekov

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 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

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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Timoth MkilimaDepartment of Civil Engineering, Faculty of Architecture and Construction, L.N. Gumilyov Eurasian National University, Satpayev Street 2, 010000 Nur-Sultan, Kazakhstan.ORCID 0000-0003-1170-0494
Kulyash MeiramkulovaDepartment of Environmental Engineering and Management, Faculty of Natural Sciences, L.N. Gumilyov Eurasian National University, Satpayev Street 2, 010000 Nur-Sultan, Kazakhstan.ORCID 0000-0002-0566-6472
Ubaidulayeva NurbalaDepartment of Chemistry and Chemical Technology, K. Zhubanov Aktobe Regional University, A. Moldagulova Ave. 34, 030000 Aktobe, Kazakhstan.
Amanbek ZandybayDepartment of Environmental Engineering and Management, Faculty of Natural Sciences, L.N. Gumilyov Eurasian National University, Satpayev Street 2, 010000 Nur-Sultan, Kazakhstan.
Mansur KhusainovDepartment of Environmental Engineering and Management, Faculty of Natural Sciences, L.N. Gumilyov Eurasian National University, Satpayev Street 2, 010000 Nur-Sultan, Kazakhstan.
Nurgul NurmukhanbetovaDepartment of Chemistry and Biotechnology, Sh. Ualikhanov Kokshetau University, Abai Street 76, 020000 Nur-Sultan, Kazakhstan.
Lyazzat TastanovaDepartment of Chemistry and Chemical Technology, K. Zhubanov Aktobe Regional University, A. Moldagulova Ave. 34, 030000 Aktobe, Kazakhstan.ORCID 0000-0002-9236-5909
Toghan MashanDepartment of Chemistry, Faculty of Natural Sciences, L.N. Gumilyov Eurasian National University, Satpayev Street 2, 010000 Nur-Sultan, Kazakhstan.
Abdilda MeirbekovDepartment of Enviroment and Chemistry, University of Hosa Ahmet Yesevi, 161200 Turkestan, Kazakhstan.

Funding

Ministry of Education and Science, the Republic of Kazakhstan BR05236844 /215
6 · The paper itself

Abstract

Textile industry production processes generate one of the most highly polluted wastewaters in the world. Unfortunately, the field is also challenged by the availability of relatively cheap and highly effective technologies for wastewater purification. The application of natural zeolite as a depth filter offers an alternative and potential approach for textile wastewater treatment. The performance of a depth filter treatment system can be deeply affected by the column depth and the characteristics of the wastewater to be treated. Regrettably, the information on the potential of these filter materials for the purification of textile wastewater is still scarce. Therefore, this study investigated the potential applicability of natural zeolite in terms of column depth for the treatment of textile wastewater. From the analysis results, it was observed that the filtration efficiencies were relatively low (6.1 to 13.7%) for some parameters such as total dissolved solids, electrical conductivity, chemical oxygen demand, and sodium chloride when the wastewater samples were subjected to the 0.5 m column depth. Relatively high efficiency of 82 and 93.8% was observed from color and total suspended solids, respectively, when the wastewater samples were subjected to the 0.5 m column depth. Generally, the 0.75 m column depth achieved removal efficiencies ranging from 52.3% to 97.5%, whereas the 1 m column depth achieved removal efficiencies ranging from 86.9% to 99.4%. The highest removal efficiency was achieved with a combination of total suspended solids and 1 m column depth (99.4%). In summary, the treatment approach was observed to be highly effective for the removal of total suspended solids, with a 93.8% removal efficiency when the wastewater was subjected to the 0.5 m column depth, 97.5% for 0.75 m column depth, and 99.4% for 1 m column depth. Moreover, up to 218.233 mg of color per g of the filter material was captured. The results derived in this study provide useful information towards the potential applicability of natural zeolite in the textile wastewater treatment field.

Indexed as

depth filtrationnatural zeolitetextile production contaminantstextile wastewater treatmentwater quality

Identifiers

PMID34834122
PMCPMC8619841

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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.