Evidence map›Paper›PMID 33869855›Full record

ArticleHeliyon2021

Efficient removal of lead and arsenic using macromolecule-carbonized rice husks.

Zeinab Babazad, Fariborz Kaveh, Mehdi Ebadi, Ramin Zafar Mehrabian, Mohammad Habibi Juibari

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 at 1 institution in 1 country.

Zeinab BabazadDepartment of Chemistry, Faculty of Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
Fariborz KavehDepartment of Chemistry, Faculty of Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
Mehdi EbadiDepartment of Chemistry, Faculty of Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
Ramin Zafar MehrabianDepartment of Chemistry, Faculty of Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
Mohammad Habibi JuibariDepartment of Chemistry, Faculty of Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
Islamic Azad University of Gorgan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adsorption process using inexpensive adsorbents is one of the methods to remove contaminants from aqueous solutions. Biomass porous carbon based materials are among the most widely used adsorbents in this field. Rice husk is a bio-based adsorbent material for pollutant removal. In this study, the porous carbon material obtained from the rice husk was used for the adsorptive removal of lead (Pb) and arsenic (As) from aqueous solutions. Silica was removed from rice husk structure through the one-step reaction using PTFE. The morphological and crystallographic characteristics of the adsorbent surface were determined by scanning electron microscopy (SEM) and X-ray diffraction (XRD) techniques. The removal efficiency was investigated under different conditions of pH (3-9), contact time (3-90min), adsorbent amount (0.5-6 g/l) and initially adsorbed concentration (10-100 μg/l) by changing the parameters in the adsorption reactions. The Response Surface Method (RSM), a Box-Behnken design (BBD), was used to optimize adsorption of Lead and Arsenic by Rice husk. The removal efficiency was finally calculated using analysis of variance. According to the adsorption analysis results, the removal efficiency of Pb and As in aqueous solutions increased (up to 97%, 85% for Lead and Arsenic) under optimum conditions.

Indexed as

AdsorptionBox-BehnkenHeavy metalRice husk

Identifiers

PMID33869855
PMCPMC8035667
OpenAlexW3148197893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.