Evidence map›Paper›PMID 31460042›Full record

ArticleACS omega2019

Multifunctional Stretchable Sensors for Continuous Monitoring of Long-Term Leaf Physiology and Microclimate.

Yicong Zhao, Shenghan Gao, Jia Zhu, Jiameng Li, Hang Xu, Kexin Xu, Huanyu Cheng, Xian Huang

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
12.5field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
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  7. Wearable Standalone Sensing Systems for Smart Agriculture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Article
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  11. Article
  12. Article
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  16. Article
  17. Article
  18. Review
  19. Review
  20. A Leaf-Patchable Reflectance Meter for In Situ Continuous Monitoring of Chlorophyll Content.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

8 authors at 2 institutions in 2 countries.

Yicong ZhaoDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Shenghan GaoDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Jia ZhuDepartment of Engineering Science and Mechanics and Department of Engineering Science and Mechanics, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Jiameng LiDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Hang XuDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Kexin XuDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Huanyu ChengDepartment of Engineering Science and Mechanics and Department of Engineering Science and Mechanics, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Xian HuangDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Tianjin University · CNPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communication with plants to understand their growth mechanisms and interaction with the surrounding environment may improve production yield in agriculture and facilitate prevention of plant diseases and negative influence of environmental stress. Typical sensing technologies in plant biology and precision agriculture largely rely on techniques with low spatial and temporal resolutions, and fail to continuously and precisely determine localized variation in leaf physiology and microenvironments. Here, techniques to develop a multifunctional stretchable leaf-mounted sensor have been developed to offer optimized adaptability to plant growth and monitor leaf physiological and environmental conditions in continuous and highly sensitive manners. The multifunctional leaf sensor contains multiple heterogeneous sensing elements made of metal, carbon nanotube matrix, and silicon, leading to temperature, hydration, light illuminance, and strain sensing capabilities on a leaf. Evaluation under a controlled environment indicates excellent precision and accuracy of the sensor compared to conventional devices. Furthermore, indoor and outdoor experiments have demonstrated the multifunctional monitoring ability of the sensor in real situations. The multifunctional stretchable sensor holds the promise to advance monitoring techniques in plant biology and precision agriculture, resulting in improved capability to record slow and subtle physiological changes in plants and plant/environment interaction.

Identifiers

PMID31460042
PMCPMC6648038
OpenAlexW2946893621

What OpenQuestion holds

Textmetadata
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.