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Advancements in Raman imaging for nanoplastic analysis: Challenges, algorithms and future Perspectives
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This review examined advances in Raman imaging for nanoplastic analysis, discussing current challenges including spectral interference, spatial resolution limits, and data processing demands, as well as emerging algorithms and future directions for improving nanoplastic detection and characterization.
Overall, current studies along with further validation are imperative to refine these approaches and enhance the reliability, not only for nanoplastics research but also for broader investigations in the realm of nanomaterials.
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How to Identify and Quantify Microplastics and Nanoplastics Using Raman Imaging?
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This paper reviews advances in Raman imaging as a method for identifying and quantifying microplastics and nanoplastics in environmental samples, discussing current protocols, analytical challenges, and the need for standardization.
Raman imaging combined with an improved PCA/algebra-based algorithm to capture microplastics and nanoplastics
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Researchers developed an improved PCA/algebra-based algorithm for Raman imaging that more accurately captures and distinguishes microplastics and nanoplastics in complex samples by combining principal component analysis with algebraic logic to improve signal-to-noise ratios.
Identification and visualisation of microplastics/nanoplastics by Raman imaging (i): Down to 100 nm
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Researchers developed an advanced Raman imaging technique capable of identifying and visualizing nanoplastics down to 100 nanometers in size. The study addressed a key analytical gap, as nanoplastic research has been limited by the lack of effective characterization methods, and the new approach offers a way to detect these extremely small particles that may pose greater environmental risks due to their high surface area.
Identification and visualisation of microplastics / nanoplastics by Raman imaging (iii): algorithm to cross-check multi-images
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This study developed an improved Raman mapping algorithm with cross-checking across multiple images to more reliably identify microplastics and nanoplastics when spectral signals are weak, reducing false positives in environmental sample analysis.
Identification and visualisation of microplastics/ nanoplastics by Raman imaging (ii): Smaller than the diffraction limit of laser?
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Researchers examined whether confocal Raman microscopy can identify and visualize nanoplastics smaller than the diffraction limit of the laser, analyzing the lateral intensity distribution of Raman signals from nanoplastics ranging from approximately 30 to 600 nm in diameter. The study found that while imaging resolution is limited by diffraction, chemical identification of sub-diffraction-limit nanoplastics remains possible.
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