Multisensory graphene-skin for harsh-environment applications

Sohail F. Shaikh, Muhammad Mustafa Hussain

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Monitoring the environment using electronic systems in harsh environments requires materials and processes that can withstand harsh environments. Environmental harshness can come from the surrounding temperature, varying pressure, intense radiation, reactive chemicals, humidity, salinity, or a combination of any of these conditions. Here, we present graphene as a candidate for a multisensory flexible platform in harsh-environment applications. We designed sensors for harsh environments like high temperature (operating range up to 650 C), high salinity, and chemical harsh environments (pH sensing) on a single flexible polyimide sheet. The high-temperature graphene sensor gives a sensitivity of 260% higher than the Pt-based sensor. The temperature sensor acts between metal and a thermistor, thereby providing an opportunity to classify the region depending on temperature ( 210 C up to 650 C as quadratic). Improved performances are observed for salinity and pH sensing in comparison with existing non-graphene solutions. The simple transfer free fabrication technique of graphene on a flexible platform and laser-induced graphene on a flexible polyimide sheet opens the potential for harsh-environment monitoring and multisensory graphene skin in future applications.
Original languageEnglish (US)
Pages (from-to)074101
JournalApplied Physics Letters
Issue number7
StatePublished - Aug 17 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): REP/1/ 2707-01-01
Acknowledgements: This publication is based upon the work supported by the King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR), under Award No. REP/1/ 2707-01-01.


Dive into the research topics of 'Multisensory graphene-skin for harsh-environment applications'. Together they form a unique fingerprint.

Cite this