Do We Really Need Extra Signal-Enhancing Techniques for Nanoplastic Detection? The Mie-Resonance-Assisted Self-Nanolensing Effect Enables Routine Raman Analysis

Despite growing interest in nanoplastics (NPs) in the environment, reliable and harmonized accumulation of data has been hindered by analytical limitations. Although some techniques have been proposed to quantify or qualify NPs in the environment, they are still not standardized. Here, we revealed that the inherent optical properties of submicrometer dielectric nanoplastics lead to a previously unappreciated Mie-resonance-assisted self-nanolensing effect, significantly amplifying their Raman signals, sufficient to be detected by a conventional Raman spectrometer. Through experimental and theoretical validation, we demonstrate that the self-nanolensing effect amplifies Raman signals by up to 35-fold in isolated NPs, enabling reliable detection down to 125 nm in diameter. This effect is crucially demonstrated to be significant even for irregularly shaped nanoplastics, enough for environmental applications. This led to the development of an automated Raman-based quantification system for environmental NPs, which allows for rapid and efficient measurement in wastewater from recycling facilities. NP concentration of wastewater is estimated to be 1.6 × 10<sup>9</sup> particles per liter, marking the first report of NP distribution in the recycling process. Additionally, we analyzed the NP distribution in bottled water and obtained similar levels of data to those previously reported with stimulated Raman scattering (SRS). This study demonstrates the potential for routine NP quantification, facilitating the accumulation of distribution data in various environments, which is crucial for risk assessments and evidence-based environmental policy decisions.

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Publication Details

Journal
Analytical Chemistry
Published
2026-01-14
DOI
https://doi.org/10.1021/acs.analchem.5c05839
Citations
1
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
18.32
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article

Do We Really Need Extra Signal-Enhancing Techniques for Nanoplastic Detection? The Mie-Resonance-Assisted Self-Nanolensing Effect Enables Routine Raman Analysis

Gogyun Shin, Jeonghyun Lim, Juhui Seo, Dongha Shin et al.
1 citations
Analytical Chemistry
Microplastics and Plastic Pollution
18.32
article

Do We Really Need Extra Signal-Enhancing Techniques for Nanoplastic Detection? The Mie-Resonance-Assisted Self-Nanolensing Effect Enables Routine Raman Analysis

Gogyun Shin, Jeonghyun Lim, Juhui Seo, Dongha Shin, Enxi Jin
article en
1 citations

Abstract

Despite growing interest in nanoplastics (NPs) in the environment, reliable and harmonized accumulation of data has been hindered by analytical limitations. Although some techniques have been proposed to quantify or qualify NPs in the environment, they are still not standardized. Here, we revealed that the inherent optical properties of submicrometer dielectric nanoplastics lead to a previously unappreciated Mie-resonance-assisted self-nanolensing effect, significantly amplifying their Raman signals, sufficient to be detected by a conventional Raman spectrometer. Through experimental and theoretical validation, we demonstrate that the self-nanolensing effect amplifies Raman signals by up to 35-fold in isolated NPs, enabling reliable detection down to 125 nm in diameter. This effect is crucially demonstrated to be significant even for irregularly shaped nanoplastics, enough for environmental applications. This led to the development of an automated Raman-based quantification system for environmental NPs, which allows for rapid and efficient measurement in wastewater from recycling facilities. NP concentration of wastewater is estimated to be 1.6 × 10<sup>9</sup> particles per liter, marking the first report of NP distribution in the recycling process. Additionally, we analyzed the NP distribution in bottled water and obtained similar levels of data to those previously reported with stimulated Raman scattering (SRS). This study demonstrates the potential for routine NP quantification, facilitating the accumulation of distribution data in various environments, which is crucial for risk assessments and evidence-based environmental policy decisions.

Analytical ChemistryVol. 98(3)
Inha University (KR)
Clean water and sanitation
Openalex Percentile: Top 3%
Microplastics and Plastic Pollution
18.32
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