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Microplastics: Challenges, toxicity, spectroscopic and real-time detection methods

Applied Spectroscopy Reviews 2024 22 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 65 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Sayo O. Fakayode, Tsdale F. Mehari, Vivian E. Fernand Narcisse, Cidya Grant, Megan Taylor, Gary A. Baker, Noureen Siraj, Mujeebat Bashiru, Iris Denmark, Adeniyi Oyebade, David K. Bwambok, Charles Kuedukey, T O Alonge, Davis Anum

Summary

This review paper summarizes the challenges of detecting microplastics and the latest methods scientists use to find and identify them, including infrared, Raman, and fluorescence spectroscopy. It also covers the known toxic effects of microplastics on living organisms, including how they can carry harmful chemicals and pathogens. Better detection methods are important because understanding where microplastics are and what types are present is the first step toward assessing health risks.

Plastics are in high demand for various uses worldwide because of their low cost, versatility, lightweight, low density, flexibility, high strength, and durability. An increase in single-use plastics and ineffective solid waste disposal and recycling strategies have resulted in a global microplastic (MP) pollution epidemic, with negative implications for the ecosystem and public health safety. Analytical methods, including thermogravimetry and chromatography, have been developed to detect MPs. Nevertheless, molecular spectroscopy methods such as Near Infrared (NIR), Fourier Transform Infrared (FTIR), Raman, and fluorescence spectroscopy for MP analysis have gained attention in recent years due to their rapidity, low cost, accuracy, and portability of spectrometers. This review article provides in-depth coverage of the survey of current literature on the challenges, toxicity, sample pretreatment, and spectroscopic (Fluorescence, Raman, FTIR) and real-time (satellite imagery, unmanned aerial vehicles, and aquatic drone technology) microplastic detection methods. Machine learning, micro-hyperspectral imaging, and chemometrics approach to microplastic detections are discussed. The challenges, future directions, and prospects for decreasing global MP pollution and their analysis are discussed.

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