Evidence map›Paper›PMID 39364753›Full record

ArticlePlant biotechnology journal2025

Flexible substrate-based mass spectrometry platform for in situ non-destructive molecular imaging of living plants.

Guanhua Zhang, Han Zheng, Xiao Wang, Shuxin Han, Wei Liu, Chenglong Sun, Qiongzheng Hu, Chunxia Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Guanhua ZhangShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Han ZhengState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0003-4692-7058
Xiao WangShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Shuxin HanShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Wei LiuShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Chenglong SunShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Qiongzheng HuShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Chunxia MaShandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.ORCID https://orcid.org/0000-0002-9705-6080

Funding

China Academy of Chinese Medical Sciences 2060302Department of Science & Technology of Shandong Province ZR2020QE228National Natural Science Foundation of China 42007218Qilu University of Technology (Shandong Academy of Sciences) 2022PY004
6 · The paper itself

Abstract

Monitoring and localizing molecules on living plants is critical for understanding their growth, development and disease. However, current techniques for molecular imaging of living plants often lack spatial information or require tedious pre-labelling. Here, we proposed a novel molecular imaging platform that combines sliver nanowire-doped Ti

Indexed as

Molecular ImagingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationNanowiresPlant RootsPlantsFlexible substrateLiving plantMass spectrometry imaging (MSI)Signalling moleculesSurface analysis

Identifiers

PMID39364753
PMCPMC11672744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.