Evidence map›Paper›PMID 34270603›Full record

ArticlePloS one2021

Production and characterization of bio-oils from fast pyrolysis of tobacco processing wastes in an ablative reactor under vacuum.

Nattawut Khuenkaeo, Sanphawat Phromphithak, Thossaporn Onsree, Salman Raza Naqvi, Nakorn Tippayawong

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Electrospun Pt-TiOScientific reports · 2024
    Article
  2. 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.

Nattawut KhuenkaeoFaculty of Engineering, Department of Mechanical Engineering, Chiang Mai University, Chiang Mai, Thailand.
Sanphawat PhromphithakFaculty of Engineering, Department of Mechanical Engineering, Chiang Mai University, Chiang Mai, Thailand.
Thossaporn OnsreeFaculty of Engineering, Department of Mechanical Engineering, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-5685-5572
Salman Raza NaqviDepartment of Chemical Engineering, National University of Sciences and Technology, Islamabad, Pakistan.
Nakorn TippayawongFaculty of Engineering, Department of Mechanical Engineering, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-6104-7676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of advanced pyrolysis processes to agricultural waste for liquid production is gaining great attention, especially when it is applied to an economic crop like tobacco. In this work, tobacco residues were pyrolyzed in an ablative reactor under vacuum. The maximum bio-oil yield of 55% w/w was obtained at 600°C with a particle size of 10 mm at a blade rotation speed of 10 rpm. The physical properties of the products showed that the oil produced was of high quality with high carbon, hydrogen, and calorific value. Two-dimensional gas chromatography/time-of-flight mass spectrometric analysis results indicated that the oils were complex mixtures of alkanes, benzene derivative groups, and nitrogen-containing compounds. In addition, 13C NMR results confirmed that long aliphatic chain alkanes were evident. The alkanes were likely converted from furans that were decomposed from hemicelluloses. Ablative pyrolysis under vacuum proved to be a promising option for generating useful amount of bio-oils from tobacco residues.

Indexed as

PyrolysisWaste ProductsAlkanesBenzeneCelluloseCharcoalFuransNicotianaPlant OilsVacuumAlkanesBenzenebiocharCelluloseCharcoalFuransPlant OilsWaste Products

Identifiers

PMID34270603
PMCPMC8284650

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.