Evidence map›Paper›PMID 35518421›Full record

ArticleRSC advances2020

Ratiometric electrochemical sensor for accurate detection of salicylic acid in leaves of living plants.

Lei Yang, Da Chen, Xiaodong Wang, Bin Luo, Cheng Wang, Guangheng Gao, Hongji Li, Aixue Li, Liping Chen

Abstract read
In one paragraph

Article in RSC advances, 2020. 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
–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

8 citing papers in PubMed.

  1. 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

9 authors.

Lei YangBeijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China liax@nercita.org.cn chenlp@nercita.org.cn.
Da ChenCollege of Electronic and Information Engineering, Shandong University of Science and Technology Qingdao 266590 China.
Xiaodong WangBeijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China liax@nercita.org.cn chenlp@nercita.org.cn.
Bin LuoBeijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China liax@nercita.org.cn chenlp@nercita.org.cn.
Cheng WangBeijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China liax@nercita.org.cn chenlp@nercita.org.cn.
Guangheng GaoBiology Institute, Qilu University of Technology (Shandong Academy of Sciences), Key Laboratory for Biosensors of Shandong Province Jinan 250353 China.
Hongji LiTianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion, School of Chemistry and Chemical Engineering, Tianjin University of Technology Tianjin 300384 China.
Aixue LiBeijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China liax@nercita.org.cn chenlp@nercita.org.cn.ORCID https://orcid.org/0000-0001-6476-3005
Liping ChenBeijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China liax@nercita.org.cn chenlp@nercita.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of signal molecules in living plants is of great relevance for precision farming. In this work, to establish a more effective method for monitoring salicylic acid (SA) in the leaves of living plants, a ratiometric electrochemical sensor was fabricated based on a Cu metal-organic framework (Cu-MOF) and carbon black (CB) composite. The Cu-MOF and CB composite was used to catalyze SA oxidation. Ratiometric oxidation current peak intensities

Identifiers

PMID35518421
PMCPMC9057353

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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.