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Development of plasmonic-based sensor for highly sensitive and selective detection of dopamine


Citation

Kamal Eddin, Faten Bashar and Yap, Wing Fen and Liew, Josephine Ying Chyi and Muhamad Fauzi, Nurul Illya and Mohd Daniyal, Wan Mohd Ebtisyam Mustaqim and Abdullah, Huda (2023) Development of plasmonic-based sensor for highly sensitive and selective detection of dopamine. Optics & Laser Technology, 161. art. no. 109221. pp. 1-13. ISSN 0030-3992; ESSN: 1879-2545

Abstract

The rapid and specific detection of dopamine (DA) is of great importance for diagnosis of neurodegenerative diseases. Surface plasmon resonance (SPR) sensors are promising tools for real time monitoring of biomolecular interactions. However, the sensitivity of such sensors necessitates improvement. For this purpose, graphene oxide (GO) was employed in this work to prepare the sensor chip. Interestingly, the proposed sensor possessed an excellent performance with high sensitivity of 0.2148—¦ /pM and affinity constant of 2.148 TMˆ’ 1 . The precision for nine replicate detections of 100 fM was 0.125 (RSD). Significantly, this plasmonic based sensor has potential to determine DA in real time within 5 min. Moreover, it showed excellent reproducibility, repeatability, and selectivity to common interfering species, as well as outstanding storage stability. Considering its simple fabrication, high sensitivity and other sensing characteristics, it was found that this optical sensor showed considerable promise as a reliable technique for rapid detection and in-field measurement.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institut Nanosains dan Nanoteknologi
DOI Number: https://doi.org/10.1016/j.optlastec.2023.109221
Publisher: Elsevier
Keywords: Dopamine; Neurotransmitters; SPR; GO; Optical biosensor; Light-matter interaction
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 15 Oct 2024 06:53
Last Modified: 15 Oct 2024 06:53
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.optlastec.2023.109221
URI: http://psasir.upm.edu.my/id/eprint/107318
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