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01-01-2024

Advancing chemical sensors synthesis and classification for the integration of mems optical phased array in polymer nanocomposites

Authors: Ekta Gupta, R. E. Ugandar, Radhika Gautamkumar Deshmukh, S. Hemalatha, Anitha Gopalan, Mohammed Ali, Hamada Abdelgawad

Published in: Optical and Quantum Electronics | Issue 1/2024

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Abstract

This study focuses on the advancement of chemical sensor synthesis and classification techniques to enable the seamless integration of Micro-Electro-Mechanical Systems (MEMS) optical phased arrays within polymer nanocomposites. The integration of MEMS optical phased arrays holds immense potential for applications in real-time chemical sensing and imaging. In this research, we present a comprehensive approach to fabricating polymer nanocomposites with embedded MEMS optical phased arrays, emphasizing the synthesis of high-performance chemical sensors and their compatibility with the nanocomposite matrix. Our work encompasses the design, fabrication, and classification of MEMS devices, as well as the development of novel nanocomposite materials that exhibit enhanced optical and mechanical properties. Through meticulous synthesis and thorough classification, we aim to overcome existing limitations and pave the way for a new generation of chemical sensing devices with improved sensitivity, selectivity, and miniaturization. This interdisciplinary effort at the intersection of materials science, microfabrication, and photonics contributes to the realization of advanced sensor technologies for diverse applications in environmental monitoring, medical diagnostics, and industrial process control.

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Title: Advancing chemical sensors synthesis and classification for the integration of mems optical phased array in polymer nanocomposites
Authors: Ekta Gupta
R. E. Ugandar
Radhika Gautamkumar Deshmukh
S. Hemalatha
Anitha Gopalan
Mohammed Ali
Hamada Abdelgawad
Publication date: 01-01-2024
Publisher: Springer US
Published in: Optical and Quantum Electronics / Issue 1/2024
Print ISSN: 0306-8919
Electronic ISSN: 1572-817X
DOI: https://doi.org/10.1007/s11082-023-05675-y

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