Evidence map›Paper›PMID 34026443›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Cohabiting Plant-Wearable Sensor In Situ Monitors Water Transport in Plant.

Yangfan Chai, Chuyi Chen, Xuan Luo, Shijie Zhan, Jongmin Kim, Jikui Luo, Xiaozhi Wang, Zhongyuan Hu, Yibin Ying, Xiangjiang Liu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. 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
–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

34 citing papers in PubMed.

  1. Multiscale Manufacturing of Organic Electronic Materials.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Reverse Sap Flow from Fruit.Plants (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Wearable Standalone Sensing Systems for Smart Agriculture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

10 authors.

Yangfan ChaiCollege of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China.
Chuyi ChenCollege of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China.
Xuan LuoCollege of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China.
Shijie ZhanDepartment of Engineering University of Cambridge Cambridge CB3 0FF UK.
Jongmin KimDepartment of Engineering University of Cambridge Cambridge CB3 0FF UK.
Jikui LuoCollege of Information Science and Electronic Engineering Zhejiang University Hangzhou 310058 China.
Xiaozhi WangCollege of Information Science and Electronic Engineering Zhejiang University Hangzhou 310058 China.
Zhongyuan HuCollege of Agriculture and Biotechnology Zhejiang University Hangzhou 310058 China.
Yibin YingCollege of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China.
Xiangjiang LiuCollege of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China.ORCID 0000-0002-5419-669X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The boom of plant phenotype highlights the need to measure the physiological characteristics of an individual plant. However, continuous real-time monitoring of a plant's internal physiological status remains challenging using traditional silicon-based sensor technology, due to the fundamental mismatch between rigid sensors and soft and curved plant surfaces. Here, the first flexible electronic sensing device is reported that can harmlessly cohabitate with the plant and continuously monitor its stem sap flow, a critical plant physiological characteristic for analyzing plant health, water consumption, and nutrient distribution. Due to a special design and the materials chosen, the realized plant-wearable sensor is thin, soft, lightweight, air/water/light-permeable, and shows excellent biocompatibility, therefore enabling the sap flow detection in a continuous and non-destructive manner. The sensor can serve as a noninvasive, high-throughput, low-cost toolbox, and holds excellent potentials in phenotyping. Furthermore, the real-time investigation on stem flow insides watermelon reveals a previously unknown day/night shift pattern of water allocation between fruit and its adjacent branch, which has not been reported before.

Indexed as

Wearable Electronic DevicesBiological TransportMonitoring, PhysiologicPlant DevelopmentPliabilityWaterWaterelectronic tattoosflexible electronicsphenotypingsap flowwater allocation

Identifiers

PMID34026443
PMCPMC8132156

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.