Polarimetry-inspired feature fusion spectroscopy (PIFFS) for ammonia sensing in water

Author:

Fan Axin12ORCID,Xu Tingfa12,Teng Geer1ORCID,Li Jianan1,Zhang Yuhan12ORCID,Wang Xi12ORCID,Xu Chang12ORCID,Yan Peilin12,Xu Xin12

Affiliation:

1. Beijing Institute of Technology

2. Beijing Institute of Technology Chongqing Innovation Center

Abstract

The sustainable use of water resources is inseparable from water pollution detection. The sensing of toxic ammonia nitrogen in water currently requires auxiliary reagents, which may cause secondary pollution. Benefiting from the ability of substances to change light characteristics, this work proposes polarimetry-inspired feature fusion spectroscopy (PIFFS) to detect ammonia. The PIFFS system mainly includes a light source, a quarter-wave plate (QWP), a linear polarizer (LP) and a fiber spectrometer. The target light containing substance information is polarization modulated by adjusting the QWP and LP angles. Then, the Stokes parameters of target light can be calculated by appropriate modulations. The feasibility of PIFFS method to detect ammonia nitrogen is verified by experiments on both standard water samples and environmental water samples. Experimental results show that inspired by the first Stokes parameter, the fused features provide superiority in classifying ammonia concentration. The results also demonstrate the effectiveness of support vector machine-based concentration classification and random forests-based spectral selection. The interaction between light and substances ensures that the proposed PIFFS method has the potential to detect other pollutants.

Funder

National Key Scientific Instrument and Equipment Development Projects of China

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing biological tissue structures visualization through polarimetric parameters;Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023;2023-03-15

2. Depolarizing metrics in the biomedical field: Vision enhancement and classification of biological tissues;Journal of Innovative Optical Health Sciences;2023-02-23

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