Evidence map›Paper›PMID 33312617›Full record

ArticleJournal of environmental health science & engineering2020

Ceramic membrane-based ultrafiltration combined with adsorption by waste derived biochar for textile effluent treatment and management of spent biochar.

Bhaskar Santra, Lata Ramrakhiani, Susmita Kar, Sourja Ghosh, Swachchha Majumdar

Abstract read
In one paragraph

Article in Journal of environmental health science & engineering, 2020. 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

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

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

5 authors.

Bhaskar SantraWater Technology Division, CSIR- Central Glass and Ceramic Research Institute, 196, Raja S.C. Mullick Road, Kolkata, 700032 India.
Lata RamrakhianiWater Technology Division, CSIR- Central Glass and Ceramic Research Institute, 196, Raja S.C. Mullick Road, Kolkata, 700032 India.
Susmita KarWater Technology Division, CSIR- Central Glass and Ceramic Research Institute, 196, Raja S.C. Mullick Road, Kolkata, 700032 India.
Sourja GhoshWater Technology Division, CSIR- Central Glass and Ceramic Research Institute, 196, Raja S.C. Mullick Road, Kolkata, 700032 India.ORCID 0000-0001-9172-1214
Swachchha MajumdarWater Technology Division, CSIR- Central Glass and Ceramic Research Institute, 196, Raja S.C. Mullick Road, Kolkata, 700032 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEffluents produced in the textile industries are important sources of water pollution due to the presence of toxic dyes, auxiliary chemicals, organic substances etc. Recycling of such industrial wastewater is one major aspect of sustainable water management; hence present study is focused on an eco-friendly process development for reclamation of higher loading textile wastewater.

methodIndustrial effluent samples with varying loading were collected from textile processing units located in and around Kolkata city. Vegetable waste collected from local market was utilized to prepare an efficient biochar for elimination of the recalcitrant dyes. Prior to adsorption, ceramic ultrafiltration (UF) process was used for reduction of the organic loading and other suspended and dissolved components.

resultsA remarkably high BET surface area of 1216 m

conclusionsThe overall study showed potential of the proposed process towards treatment of toxic dye loaded textile effluent in an environment friendly and sustainable approach.

Indexed as

Carbonaceous biocharInorganic membraneSustainable waste managementTextile industrial wastewaterVegetable waste resource

Identifiers

PMID33312617
PMCPMC7721960

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.