Evidence map›Paper›PMID 31938898›Full record

ArticleAMB Express2020

A comparison of biofiltration performance based on bacteria and fungi for treating toluene vapors from airflow.

Roohollah Ghasemi, Farideh Golbabaei, Sasan Rezaei, Mohammad Reza Pourmand, Ramin Nabizadeh, Mohammad Javad Jafari, Ensieh Masoorian

Abstract read
In one paragraph

Article in AMB Express, 2020. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Biological-based methods for the removal of volatile organic compounds (VOCs) and heavy metals.Environmental science and pollution research international · 2021
    Review
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

7 authors.

Roohollah GhasemiDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Farideh GolbabaeiDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. fgolbabaei@tums.ac.ir.
Sasan RezaeiDepartment of Medical Mycology & Parasitology, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Reza PourmandDepartment of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ramin NabizadehDepartment of Environmental Health Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Javad JafariSafety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ensieh MasoorianDepartment of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

tehran university of medical sciences 96-03-27-35960
6 · The paper itself

Abstract

With increasing concerns about industrial gas contaminants and the growing demand for durable and sustainable technologies, attentions have been gradually shifted to biological air pollution controls. The ability of Pseudomonas putida PTCC 1694 (bacteria) and Pleurotus ostreatus IRAN 1781C (fungus) to treat contaminated gas stream with toluene and its biological degradation was compared under similar operating conditions. For this purpose, a biofilter on the laboratory scale was designed and constructed and the tests were carried out in two stages. The first stage, bacterial testing, lasted 20 days and the second stage, fungal testing, lasted 16 days. Inlet loading rates (IL) for bacterial and fungal biofilters were 21.62 ± 6.04 and 26.24 ± 7.35 g/m

Indexed as

Elimination capacityPleurotus ostreatusPressure dropPseudomonas putidaRemoval efficiencyToluene

Identifiers

PMID31938898
PMCPMC6960271

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.