双角子空间激光诱导荧光法测定海洋微塑料的种类和质量比。

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Xiongfei Meng, Yongxin Song, Shimeng Chen, Dongqing Li, Lanjun Sun, Yuehong Gong
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引用次数: 0

摘要

目前,由于不同微塑料的荧光光谱重叠,激光诱导荧光法在可靠测定海洋微塑料的类型和质量比方面面临挑战。为了解决这一问题,本文提出了一种双角子空间(DAS)方法来区分重叠荧光光谱。关键思想是用已知荧光光谱转换的向量跨出子空间,然后计算向量与子空间之间的夹角。具体来说,研究发现未知微塑料荧光光谱转换的向量与它们在子空间上的投影之间的夹角,以及这些向量与跨越子空间的向量之间的夹角,表明了微塑料的类型。未知微塑料的向量属于由已知微塑料转换成的向量所张成的子空间,通过分析未知微塑料和已知微塑料向量之间的线性关系,可以确定未知样品的质量比。用实际海洋微塑料样品验证了DAS方法的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Double-Angling-Subspace Enabled Laser-Induced Fluorescence Method for Determining the Types and Mass Ratio of Marine Microplastics

Double-Angling-Subspace Enabled Laser-Induced Fluorescence Method for Determining the Types and Mass Ratio of Marine Microplastics

Currently, the laser-induced fluorescence method faces challenges in reliably determining the types and mass ratios of marine microplastics due to overlapped fluorescence spectra of different microplastics. To address this issue, this paper proposes a double-angling-subspace (DAS) method to differentiate the overlapped fluorescence spectra. The key idea is to span subspaces with vectors converted by known fluorescence spectra, followed by calculating the angle between vectors and subspaces. Specifically, it is found that the angle between the vectors converted from fluorescence spectra of unknown microplastics and their projections on the subspaces, as well as the angle between these vectors and the vectors spanning the subspaces, is indicative of microplastic types. The vector of an unknown microplastic belongs to the subspace spanned by the vectors converted by the known microplastics, and the mass ratios of unknown samples can be determined by analyzing the linear correlation between the vectors of both unknown and known microplastics. The reliability of the proposed DAS method is validated with real marine microplastic samples.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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