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使用高通量筛选拉曼光谱法快速检测微塑料

Rapid Microplastic Detection Using High-Throughput Screening Raman Spectroscopy.

作者信息

Shiwani Shiwani, Latka Ines, Popp Jürgen, Krafft Christoph, Schie Iwan W

机构信息

Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.

Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany.

出版信息

ACS Omega. 2025 Jul 25;10(30):33675-33688. doi: 10.1021/acsomega.5c04522. eCollection 2025 Aug 5.

Abstract

Microplastic pollution poses a significant environmental challenge, with particles ranging from micrometers to millimeters contaminating ecosystems worldwide. Traditional Raman microspectroscopy struggles to balance spatial resolution, field of view, and throughput, especially at low particle concentrations. Here, we present a high-throughput Raman spectroscopy (HTS-RS) platform that overcomes these limitations by combining a 3.15 × 2.10 mm field of view with a spatial resolution of 1.4 μm, enabling rapid, label-free detection and classification of microplastics across a wide size range. The system integrates automated particle recognition, autofocus correction, and Raman spectral acquisition into a seamless workflow, reducing user intervention and accelerating data acquisition. Validation on reference microplastic mixtures demonstrated precise detection from 7 μm to over 400 μm, with robust morphological and chemical characterization. With its high sensitivity, throughput, and automation, our platform sets a new benchmark for microplastic monitoring and provides a scalable solution for environmental screening applications.

摘要

微塑料污染构成了重大的环境挑战,从微米到毫米大小的颗粒污染着全球的生态系统。传统拉曼显微光谱难以平衡空间分辨率、视野和通量,尤其是在低颗粒浓度情况下。在此,我们展示了一种高通量拉曼光谱(HTS-RS)平台,该平台通过将3.15×2.10毫米的视野与1.4微米的空间分辨率相结合,克服了这些限制,能够对各种尺寸范围内的微塑料进行快速、无标记检测和分类。该系统将自动颗粒识别、自动聚焦校正和拉曼光谱采集集成到一个无缝工作流程中,减少了用户干预并加快了数据采集速度。对参考微塑料混合物的验证表明,该平台能够精确检测7微米至400多微米的微塑料,并能进行可靠的形态和化学表征。凭借其高灵敏度、通量和自动化,我们的平台为微塑料监测树立了新的标杆,并为环境筛查应用提供了可扩展的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112f/12332546/c3e5f54625af/ao5c04522_0001.jpg

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