Evidence map›Paper›PMID 42289694›Full record

ArticlePlant methods2026

Phytohormone dynamics in tomato leaves due to in-situ continuous wearing of sensors.

Mingji Wei, Shuai Lu, Fei Lyu, Kai Zou, Yongxian Song, Guoxiao Li, Tianbao Wang, Ning Yang

Abstract read
In one paragraph

Article in Plant methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingji WeiSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China. wmj@ujs.edu.cn.
Shuai LuSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China.
Fei LyuSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China.
Kai ZouSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China.
Yongxian SongSchool of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, 211171, Jiangsu, China.
Guoxiao LiInformation engineering, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, 212400, Jiangsu, China.
Tianbao WangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China.
Ning YangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China. yangn@ujs.edu.cn.

Funding

Jiangsu Provincial Key Research and Development Program BE2023017-2Key Research Project for Young Scientists of the National Key Research and Development Program 2022YED2000200National Natural Science Foundation of China 32171895National Natural Science Foundation of China 32501789
6 · The paper itself

Abstract

Tomato has become an increasingly important functional food crop due to its high nutritional value and short growth cycle. However, its production is highly susceptible to compound environmental stresses, leading to substantial yield losses. Currently, in-situ continuous monitoring using wearable sensors offers a novel approach for early warning of stress in tomatoes. Yet, the physical properties of these sensors may trigger leaf stress responses during wear, resulting in distorted hormone monitoring data. To address above problems, this study systematically investigated the effects of key sensor properties including surface hardness, breathability, light transmittance, invasion depth and weight on the dynamic changes of six hormones in tomato leaves: abscisic acid (ABA), jasmonic acid (JA), salicylic acid (SA), ethylene (ET), auxin (IAA), and gibberellin (GA). By designing polydimethylsiloxane (PDMS) sensor simulators with varying parameters and employing enzyme-linked immunosorbent assay (ELISA) for multi-time-point hormone detection, the results demonstrate that sensor physical properties significantly disrupt hormonal balance. Results show that higher hardness induces sharp accumulation of JA and SA, inadequate breathability promotes ethylene and ABA synthesis, and light shading significantly suppresses GA while activating ABA-mediated senescence pathways. This study provides a theoretical and experimental basis for optimizing sensor biocompatibility and improving the accuracy of in-situ monitoring.

Indexed as

BiocompatibilityIn-situ continuous monitoringPhytohormonesRejection reactionTomatoWearable sensor

Identifiers

PMID42289694
PMCPMC13495471

What OpenQuestion holds

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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.