4.6 Article

A biodegradable and flexible temperature sensor supported on avocado peel and its enhancement of detection by sensitizing with the La0.5Sr0.5CoO3 perovskite

期刊

MATERIALS CHEMISTRY AND PHYSICS
卷 292, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.matchemphys.2022.126786

关键词

Temperature sensor; Graphene; LaSrCoO 3 perovskite; Avocado peel; Flexible sensor; Biodegradable sensor

资金

  1. CONACYT-Mexico
  2. [CVU 638408]

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This study presents the performance of a flexible and biodegradable temperature sensor made with avocado peel, graphene, carbon nanotubes, and a perovskite material. The addition of perovskite significantly improves the response time of the sensor, and it retains good performance even after bending cycles. Furthermore, the formation of amorphous carbon and structural defects on the sensor's surface enhances its sensitivity.
We report the performance of flexible and biodegradable temperature sensors fabricated with avocado peel (biodegradable waste used as support), graphene (G), carbon nanotubes (CNTs) and La0.5Sr0.5CoO3 (LSCO) perovskite. The LSCO powder is formed by agglomerates of microparticles with average size of 1.63 mu m and they are decorated by smaller nanoplates with sizes of 50-150 nm. According to the X-ray diffraction (XRD) analysis, the LSCO presents a rhombohedral crystalline phase. The performance of the temperature sensor made without LSCO (it contained only G + CNTs as active materials) was firstly evaluated to detect a temperature of 60 degrees C and response/recovery times of 35.3/155.5 s were obtained. Later, the sensor was sensitized with LSCO microparticles deposited on its surface and the response/recovery times were lowered to 8.5/27.6 s for the same detection temperature of 60 degrees C, thus, the response time was decreased by approximate to 76%. The sensor made with LSCO was also subjected to 300 bending cycles. Interestingly, it produced a low response/recovery times of 9.7/7.1 s for the detection temperature of 90 degrees C. Moreover, the temperature sensor made with LSCO microparticles could detect temperatures in the range of 60-140 degrees C and the response/recovery times increased from 8.5/27.6 s to 15.3/ 122.3 s after increasing the detection temperature from 60 degrees C to 140 degrees C. Furthermore, the XPS, Raman and FTIR analysis revealed the formation of amorphous carbon and structural defects on the sensor's surface after its use for the temperature detection, which contributed to the enhancement of the sensor's sensitivity by approximate to 139%. Overall, the new class of temperature sensor presented in this work can pave the way for the development of eco-friendly sensors, which can find applications in wearable/industrial devices.

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