Evidence map›Paper›PMID 35036803›Full record

ArticleACS omega2022

Experimental and Kinetic Studies on Tobacco Pyrolysis under a Wide Range of Heating Rates.

Yanfei Mu, Yuhan Peng, Xiaodong Tang, Jie Ren, Jiangkuan Xing, Kun Luo, Jianren Fan, Ke Zhang

Abstract read
In one paragraph

Article in ACS omega, 2022. 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. Review
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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

8 authors.

Yanfei MuState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
Yuhan PengChina Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310088, P. R. China.
Xiaodong TangChina Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310088, P. R. China.
Jie RenState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.
Jiangkuan XingState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.ORCID https://orcid.org/0000-0002-2423-5627
Kun LuoState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.ORCID https://orcid.org/0000-0003-3644-9400
Jianren FanState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310085, P. R. China.ORCID https://orcid.org/0000-0002-6332-6441
Ke ZhangZhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work, experimental and kinetic studies are conducted to explore and model tobacco pyrolysis characteristics under a wide range of heating conditions. First, thermal decomposition processes of a tobacco sample were investigated using thermogravimetric analysis/difference thermogravimetry (TGA/DTG) experiments under a wide range of heating rates (10-500 K/min), and the TGA/DTG profiles were compared to highlight the effect of heating rate on the pyrolysis characteristics. The results showed that the tobacco sample was sufficiently devolatilized at 1173.15 K (900 °C) and the final volatiles yields were not sensitive to the heating rate. Moreover, it was illustrated that the DTG curve presents a polymerization trend with the increase in heating rate. Then, kinetic parameters, including total component mass fraction, preexponential factor, and activation energy, were derived by deconvolution from TG/DTG profiles for each component with a one-step kinetic framework, and the correlations between kinetic parameters and heating rates were further explored and modeled. The results illustrated that four subpeaks can be found in the deconvolution, indicating the four components (volatile components, hemicellulose, cellulose, and lignin). In addition, the activation energy of each component was found to be insensitive with heating rate (with standard deviation less than 20%). Therefore, an average activation energy was used for each component to avoid the compensation effect and a power correlation between the heating rate and the preexponential factor could be found.

Identifiers

PMID35036803
PMCPMC8756787

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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.