Chun-Hsien Chen, School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.
Hsin-Hua Liang, School of Pharmacy, China Medical University, Taichung 406040, Taiwan.
Chun-Chi Wang, School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807378, Taiwan.
Yi-Ting Yang, Department of Chemistry and Biochemistry, National Chung Cheng University, Chia-Yi 621301, Taiwan.
Yi-Hui Lin, School of Pharmacy, China Medical University, Taichung 406040, Taiwan.
Yen-Ling Chen, Department of Chemistry and Biochemistry, National Chung Cheng University, Chia-Yi 621301, Taiwan.Follow

Alzheimer's disease (AD) is a chronic and progressive neurodegenerative disorder that affects millions of individuals worldwide. Researchers have conducted numerous studies to find accurate biomarkers for early AD diagnosis and develop more effective treatments. The main pathological hallmarks of AD are amyloid beta and Tau proteins. Other biomarkers, such as DNA, RNA, and proteins, can also be helpful in early AD diagnosis. To diagnose and treat AD promptly, it is essential to accurately measure the concentration of biomarkers in the cerebrospinal fluid or blood. However, due to the low concentrations of these biomarkers in the body, highly sensitive analytical techniques are required. To date, sensors have become increasingly important due to their high sensitivity, swift detection, and adaptable manipulation features. These qualities make them an excellent substitute for conventional instruments. Nanomaterials are commonly employed in sensors to amplify signals and improve sensitivity. This review paper summarized the integration of nanomaterials in optical sensor systems, including colorimetric, fluorescent, and surface-enhanced Raman scattering sensors for AD biomarkers detection.

Chen, Chun-Hsien; Liang, Hsin-Hua; Wang, Chun-Chi; Yang, Yi-Ting; Lin, Yi-Hui; and Chen, Yen-Ling (2024) "Unlocking early detection of Alzheimer's Disease: The emerging role of nanomaterial-based optical sensors," Journal of Food and Drug Analysis: Vol. 32 : Iss. 3 , Article 4.
Available at: https://doi.org/10.38212/2224-6614.3520

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