In this work, multispectral imaging (MSI) is introduced as an innovative, practical, and non-invasive solution capable of identifying and detecting (micro)plastics. MSI holds significant appeal for industry due to its flexibility, ease of implementation, and portability. The integration of MSI with Principal Components Analysis (PCA) enables precise identification of different plastics and differentiation of microplastics within mixtures. The technique successfully identifies and quantifies the pure spectral response (endmembers) of each microplastic in every pixel of the original image. As a result, the model excels in distinguishing specific plastic materials from their surrounding backgrounds. This novel approach facilitates the identification of randomly dispersed microplastics in water.

中文翻译：

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通过多光谱成像识别不同塑料材料的光谱响应

在这项工作中，多光谱成像（MSI）被引入作为一种创新、实用和非侵入性的解决方案，能够识别和检测（微）塑料。 MSI 因其灵活性、易于实施和可移植性而对业界具有巨大的吸引力。 MSI 与主成分分析 (PCA) 的集成可以精确识别不同的塑料并区分混合物中的微塑料。该技术成功地识别并量化了原始图像每个像素中每种微塑料的纯光谱响应（端元）。因此，该模型擅长区分特定塑料材料与其周围背景。这种新颖的方法有助于识别水中随机分散的微塑料。