Evidence map›Paper›PMID 35936416›Full record

ArticleACS omega2022

Quantitative Analysis of Routine Chemical Constituents of Tobacco Based on Thermogravimetric Analysis.

Yuhan Peng, Yiming Bi, Lu Dai, Haifeng Li, Depo Cao, Qijie Qi, Fu Liao, Ke Zhang, Yudong Shen, Fangqi Du and 1 more

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Yuhan PengTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Yiming BiTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Lu DaiTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Haifeng LiTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Depo CaoTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Qijie QiTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Fu LiaoTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Ke ZhangZhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China.
Yudong ShenTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Fangqi DuTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.
Hui WangTechnology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou 310012, China.ORCID https://orcid.org/0000-0001-9245-674X
China Tobacco · CNTobacco Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most basic indexes to evaluate the quality of tobacco, the contents of routine chemical constituents in tobacco are mainly detected by continuous-flow analysis at present. However, this method suffers from complex operation, time consumption, and environmental pollution. Thus, it is necessary to establish a rapid accurate detection method. Herein, different from the ongoing research studies that mainly chose near-infrared spectroscopy as the information source for quantitative analysis of chemical components in tobacco, we proposed for the first time to use the thermogravimetric (TG) curve to characterize the chemical composition of tobacco. The quantitative analysis models of six routine chemical constituents in tobacco, including total sugar, reducing sugar, total nitrogen, total alkaloids, chlorine, and potassium, were established by the combination of TG curve and partial least squares algorithm. The accuracy of the model was confirmed by the value of root mean square error for prediction. The models can be used for the rapid accurate analysis of compound contents. Moreover, we performed an in-depth analysis of the chemical mechanism revealed by the result of the quantitative model, namely, the regression coefficient, which reflected the correlation degree between the six chemicals and different stages of the tobacco thermal decomposition process.

Identifiers

PMID35936416
PMCPMC9352168
OpenAlexW4286498715

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.