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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Marine & Wildlife Sign in to save

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

Small Methods 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Yongxin Song Lanjun Sun, Lanjun Sun, Yongxin Song Shimeng Chen, Shimeng Chen, Lanjun Sun, Lanjun Sun, Lanjun Sun, Xiongfei Meng, Lanjun Sun, Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Shimeng Chen, Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Yongxin Song Dongqing Li, Yuehong Gong, Dongqing Li, Lanjun Sun, Lanjun Sun, Lanjun Sun, Lanjun Sun, Yuehong Gong, Yongxin Song

Summary

Researchers developed a double-angling-subspace laser-induced fluorescence method to identify and quantify the mass ratios of mixed marine microplastics, using subspace geometry to resolve overlapping fluorescence spectra from different polymer types that conventional LIF approaches cannot distinguish.

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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