Evidence map›Paper›PMID 37050131›Full record

ReviewPlants (Basel, Switzerland)2023

Application of Data Modeling, Instrument Engineering and Nanomaterials in Selected Medid the Scientific Recinal Plant Tissue Culture.

Baoyu Ji, Liangshuang Xuan, Yunxiang Zhang, Wenrong Mu, Kee-Yoeup Paek, So-Young Park, Juan Wang, Wenyuan Gao

Open access · goldAbstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 13 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

8 authors at 3 institutions in 2 countries.

Baoyu JiSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China.
Liangshuang XuanShool of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China.
Yunxiang ZhangSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China.
Wenrong MuShool of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China.
Kee-Yoeup PaekDepartment of Horticultural Science, Chungbuk National University, Cheongju 28644, Republic of Korea.
So-Young ParkDepartment of Horticultural Science, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0001-8662-0590
Juan WangSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China.
Wenyuan GaoSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China.ORCID 0000-0003-0050-501X
Chungbuk National University · KRFirst Affiliated Hospital of Henan University · CNTianjin University · CN

Funding

National Key Research and Development Program 2020YFA0907903the ability establishment of sustainable use for valuable Chinese medicine resources 2060302
6 · The paper itself

Abstract

At present, most precious compounds are still obtained by plant cultivation such as ginsenosides, glycyrrhizic acid, and paclitaxel, which cannot be easily obtained by artificial synthesis. Plant tissue culture technology is the most commonly used biotechnology tool, which can be used for a variety of studies such as the production of natural compounds, functional gene research, plant micropropagation, plant breeding, and crop improvement. Tissue culture material is a basic and important part of this issue. The formation of different plant tissues and natural products is affected by growth conditions and endogenous substances. The accumulation of secondary metabolites are affected by plant tissue type, culture method, and environmental stress. Multi-domain technologies are developing rapidly, and they have made outstanding contributions to the application of plant tissue culture. The modes of action have their own characteristics, covering the whole process of plant tissue from the induction, culture, and production of natural secondary metabolites. This paper reviews the induction mechanism of different plant tissues and the application of multi-domain technologies such as artificial intelligence, biosensors, bioreactors, multi-omics monitoring, and nanomaterials in plant tissue culture and the production of secondary metabolites. This will help to improve the tissue culture technology of medicinal plants and increase the availability and the yield of natural metabolites.

Indexed as

bioreactorsintelligence model and optimization algorithmmulti-omics monitoringnanomaterialsplant tissue culturesecondary metabolites

Identifiers

PMID37050131
PMCPMC10096660
OpenAlexW4362470699

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.