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  2. 烟台海岸带研究所
  3. 中国科学院烟台海岸带研究所
  4. 中科院海岸带环境过程与生态修复重点实验室
A deep one-dimensional convolutional neural network for microplastics classification using Raman spectroscopy

文献类型：期刊论文

作者Zhang, Wei3,4; Feng, Weiwei2,3; Cai, Zongqi3; Wang, Huanqing3; Yan, Qi1,4; Wang, Qing3
刊名VIBRATIONAL SPECTROSCOPY
出版日期2023
卷号124页码:14
ISSN号0924-2031
关键词Microplastics pollution Classification Raman spectroscopy Convolutional neural networks
DOI10.1016/j.vibspec.2022.103487
通讯作者Feng, Weiwei(wwfeng@yic.ac.cn) ; Wang, Qing(qingwang@yic.ac.cn)
英文摘要Microplastics have emerged as major global environmental contaminations. Finding accurate and effective identification methods for microplastics is of great significance. In this paper, we propose a method to identify microplastics using Raman spectroscopy combined with a one-dimensional neural network(1D-CNN). Raman spectra of ten microplastics were collected and pre-processed. Both raw and pre-processed data were augmented. The 1D-CNN model reached the highest accuracy of 96.4 % based on raw data and 96.2 % based on pre-processed data. Then the K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multi-layer Perceptron (MLP) and AlexNet classifiers were trained and tested with the same dataset for contrast. Experimental results showed that our method has the best classification performance with an average accuracy of 95.8 % based on raw data and 95.5 % based on pre-processed data. This study proves that Raman spectroscopy combined with 1D-CNN can classify microplastics effectively and accurately whether the spectra data are pre-processed or not, which can further shorten the recognition time and provide a reference for microplastics detection in the future.
WOS关键词POLYOXYMETHYLENE ; IDENTIFICATION
WOS研究方向Chemistry ; Spectroscopy
语种英语
WOS记录号WOS:000904595300001
资助机构National Key Research and Devel-opment Program of China
源URL[http://ir.yic.ac.cn/handle/133337/32464]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
海岸带生物学与生物资源利用重点实验室
通讯作者Feng, Weiwei; Wang, Qing
作者单位1.Harbin Engn Univ, Minist Educ China, Key Lab Infiber Integrated Opt, Harbin 150001, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China
4.Harbin Engn Univ, Yantai Res Inst, Yantai 264000, Shandong, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Wei,Feng, Weiwei,Cai, Zongqi,et al. A deep one-dimensional convolutional neural network for microplastics classification using Raman spectroscopy[J]. VIBRATIONAL SPECTROSCOPY,2023,124:14.
APA Zhang, Wei,Feng, Weiwei,Cai, Zongqi,Wang, Huanqing,Yan, Qi,&Wang, Qing.(2023).A deep one-dimensional convolutional neural network for microplastics classification using Raman spectroscopy.VIBRATIONAL SPECTROSCOPY,124,14.
MLA Zhang, Wei,et al."A deep one-dimensional convolutional neural network for microplastics classification using Raman spectroscopy".VIBRATIONAL SPECTROSCOPY 124(2023):14.

入库方式： OAI收割

来源：烟台海岸带研究所

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