Evidence map›Paper›PMID 36875537›Full record

ArticleFrontiers in microbiology2022

Function-driven design of

Xinying Wu, Wen Cai, Pengcheng Zhu, Zheng Peng, Tianfei Zheng, Dongliang Li, Jianghua Li, Guanyu Zhou, Juan Zhang, Guocheng Du

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Basidiomycete Yeasts of Wine Grapes and Their Potential Applications in Winemaking.Comprehensive reviews in food science and food safety · 2025
    Review
  9. Article
  10. Frontiers in microbiology · 2025
    Article
  11. Article
  12. Analysis of the effects ofFrontiers in bioengineering and biotechnology · 2024
    Article
  13. Isolation and evaluation ofFrontiers in microbiology · 2024
    Article
  14. Article
  15. 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

10 authors at 3 institutions in 1 country.

Xinying WuSchool of Biotechnology, Jiangnan University, Wuxi, China.
Wen CaiTechnical Research Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Pengcheng ZhuSchool of Biotechnology, Jiangnan University, Wuxi, China.
Zheng PengSchool of Biotechnology, Jiangnan University, Wuxi, China.
Tianfei ZhengSchool of Biotechnology, Jiangnan University, Wuxi, China.
Dongliang LiTechnical Research Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Jianghua LiSchool of Biotechnology, Jiangnan University, Wuxi, China.
Guanyu ZhouSchool of Biotechnology, Jiangnan University, Wuxi, China.
Juan ZhangSchool of Biotechnology, Jiangnan University, Wuxi, China.
Guocheng DuSchool of Biotechnology, Jiangnan University, Wuxi, China.
Jiangnan University · CNChina Tobacco · CNGuizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flue-cured tobacco (FCT) is an economical raw material whose quality affects the quality and cost of the derived product. However, the time-consuming and inefficient spontaneous aging is the primary process for improving the FCT quality in the industry. In this study, a function-driven co-culture with functional microorganisms was built in response to the quality-driven need for less irritation and more aroma in FCT. The previous study has found that

Indexed as

Bacillus kochiibioaugmentationco-cultureFilobasidium magnumflue-cured tobaccofunction-driven design

Identifiers

PMID36875537
PMCPMC9978371
OpenAlexW4321089787

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.