AI Article Synopsis
- Photothermoelectric (PTE) detectors show promise in fields like energy harvesting and imaging, but they face challenges such as unstable properties and miniaturization.
- Recent advances have led to the development of scalable, bias-free PTE detectors using TiC and PEDOT:PSS composites, enhancing their composite morphology and photoresponse.
- This research also explores engineering strategies for PTE detectors and demonstrates a functional metamaterial that responds to fingertip gestures, indicating potential applications in wearable devices and IoT for health monitoring.
Article Abstract
Photothermoelectric (PTE) detectors functioning on the infrared spectrum show much potential for use in many fields, such as energy harvesting, nondestructive monitoring, and imaging fields. Recent advances in low-dimensional and semiconductor materials research have facilitated new opportunities for PTE detectors to be applied in material and structural design. However, these materials applied in PTE detectors face some challenges, such as unstable properties, high infrared reflection, and miniaturization issues. Herein, we report our fabrication of scalable bias-free PTE detectors based on TiC and poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) composites and characterization of their composite morphology and broadband photoresponse. We also discuss various PTE engineering strategies, including substrate choices, electrode types, deposition methods, and vacuum conditions. Furthermore, we simulate metamaterials using different materials and hole sizes and fabricated a gold metamaterial with a bottom-up configuration by simultaneously combining MXene and polymer, which achieved an infrared photoresponse enhancement. Finally, we demonstrate a fingertip gesture response using the metamaterial-integrated PTE detector. This research proposes numerous implications of MXene and its related composites for wearable devices and Internet of Things (IoT) applications, such as the continuous biomedical tracking of human health conditions.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968636 | PMC |
| http://dx.doi.org/10.1038/s41378-022-00454-3 | DOI Listing |
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