Evidence map›Paper›PMID 37869603›Full record

ArticleJournal of environmental health science & engineering2023

Response surface methodology (RSM) for optimizing ozone-assisted process parameters for formaldehyde removal.

Amin Nemati Tamar, Mohadeseh Karbasi, Mohammad Reza Khani, Tayebeh Hamzehlouyan, Babak Shokri

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of environmental health science & engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Amin Nemati TamarChemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, 145888-9694 Iran.
Mohadeseh KarbasiDepartment of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, G. C., Evin, Tehran, 1983963113 Iran.
Mohammad Reza KhaniLaser and Plasma Research Institute, Shahid Beheshti University, G. C., Evin, Tehran, 1983963113 Iran.ORCID 0000-0001-7753-1780
Tayebeh HamzehlouyanChemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, 145888-9694 Iran.
Babak ShokriLaser and Plasma Research Institute, Shahid Beheshti University, G. C., Evin, Tehran, 1983963113 Iran.
Shahid Beheshti University · IRSharif University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formaldehyde, a volatile organic compound (VOC), is one of the main gaseous pollutants from commercial cooking. The present study evaluated the effectiveness of a laboratory-scale ozone-assisted indirect plasma method for formaldehyde removal using response surface methodology (RSM). A dielectric barrier discharge (DBD) reactor was used for ozone generation. Inlet HCHO concentration, ozone concentration, and residence time were considered the design parameters, and formaldehyde removal efficiency (response 1) and energy yield (response 2) were considered response parameters. The optimized models showed a positive correlation between the predicted and experimental outcomes. Inlet ozone concentration, the most significant parameter in the removal efficiency model, represented a positive correlation with this response in most parts of the operating region. The optimal point with the highest desirability (i.e., D

Indexed as

Cold plasmaCommercial cooking air pollutantsFormaldehyde emissionIndirect plasma treatmentResponse surface methodologyVolatile organic compound (VOC) removal

Identifiers

PMID37869603
PMCPMC10584765
OpenAlexW4385226573

What OpenQuestion holds

Textmetadata
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.