Highly Sensitive, Stretchable, and Adjustable Parallel Microgates‐Based Strain Sensors

Abstract: The demand for stretchable strain sensors with customizable sensitivities has increased across a spectrum of applications, spanning from human motion detection to plant growth monitoring. Nevertheless, a major challenge remains in the digital fabrication of scalable and cost‐efficient strain sensors with tailored sensitivity to diverse demands. Currently, there is a lack of simple digital fabrication approaches capable of adjusting strain sensitivity in a controlled way with no changes to the material and without affecting the linearity. In this study, parallel microgates‐based strain sensors whose strain sensitivity can be adjusted systematically throughout an all‐laser‐based fabrication process without any material replacement are presented. The technique employs a two‐step direct laser writing method that combines the well‐established capabilities of laser ablation and laser marking, boasting a varying gauge factor of up to 433% (GF  =  168), while paving the way for the mass production of nanocomposite strain sensors. Parallel microgates‐based strain sensors exhibit a remarkable signal‐to‐noise ratio at ultralow strains (ɛ  =  0.001), rendering them ideal for monitoring the gradual growth of plants. As an application demonstration, the proposed sensors are deployed on tomato plants to capture their growth under varying planting conditions including hydroponic and soil mediums, as well as diverse irrigation regimens.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Highly Sensitive, Stretchable, and Adjustable Parallel Microgates‐Based Strain Sensors ; day:22 ; month:06 ; year:2024 ; extent:10
Advanced Materials Technologies ; (22.06.2024) (gesamt 10)

Urheber
Nankali, Mohammad
Amindehghan, Mohammad Amin
Seyed Alagheband, Seyed Hamed
Montazeri Shahtoori, Abdolsamad
Seethaler, Rudolf
Nouri, Nowrouz Mohammad
Milani, Abbas S.

DOI
10.1002/admt.202400071
URN
urn:nbn:de:101:1-2406221450368.544378231718
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:51 MESZ

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Beteiligte

  • Nankali, Mohammad
  • Amindehghan, Mohammad Amin
  • Seyed Alagheband, Seyed Hamed
  • Montazeri Shahtoori, Abdolsamad
  • Seethaler, Rudolf
  • Nouri, Nowrouz Mohammad
  • Milani, Abbas S.

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