Issue 50, 2022

Optical chemosensors for environmental monitoring of toxic metals related to Alzheimer's disease

Abstract

Alzheimer's disease (AD) is the most common type of dementia and progresses from mild memory loss to severe decline in thinking, behavioral and social skills, which dramatically impairs a person's ability to function independently. Genetics, some health disorders and lifestyle have all been connected to AD. Also, environmental factors are reported as contributors to this illness. The presence of heavy metals in air, water, food, soil and commercial products has increased tremendously. Accumulation of heavy metals in the body leads to serious malfunctioning of bodily organs, specifically the brain. For AD, a wide range of heavy metals have been reported to contribute to its onset and progression and the manifestation of its hallmarks. In this review, we focus on detection of highly toxic heavy metals such as mercury, cadmium, lead and arsenic in water. The presence of heavy metals in water is very troubling and regular monitoring is warranted. Optical chemosensors were designed and fabricated for determination of ultra-trace quantities of heavy metals in water. They have shown advantages when compared to other sensors, such as selectivity, low-detection limit, fast response time, and wide-range determination under optimal sensing conditions. Therefore, implementing optical chemosensors for monitoring levels of toxic metals in water represents an important contribution in fighting AD.

Graphical abstract: Optical chemosensors for environmental monitoring of toxic metals related to Alzheimer's disease

Supplementary files

Article information

Article type
Review Article
Submitted
27 avq 2022
Accepted
07 noy 2022
First published
15 noy 2022
This article is Open Access
Creative Commons BY license

RSC Adv., 2022,12, 32744-32755

Optical chemosensors for environmental monitoring of toxic metals related to Alzheimer's disease

I. M. El-Sewify, A. Radwan, N. H. Elghazawy, W. Fritzsche and H. M. E. Azzazy, RSC Adv., 2022, 12, 32744 DOI: 10.1039/D2RA05384E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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