Microplastics characterization by hyperspectral imaging in the SWIR range

被引：12

作者：

Serranti, Silvia ^{[1
]}

Fiore, Ludovica ^{[1
]}

Bonifazi, Giuseppe ^{[1
]}

Takeshima, Ayaka ^{[2
]}

Takeuchi, Hisato ^{[3
]}

Kashiwada, Shosaku ^{[3
]}

机构：

[1] Sapienza Univ Rome, Dept Chem Engn Mat & Environm DICMA, Via Eudossiana 18, I-00184 Rome, Italy

[2] Toyo Univ, Dept Life Sci, 1-1-1 Izumino, Gunma 3740193, Japan

[3] Toyo Univ, Res Res Ctr Life & Environm Sci, 1-1-1 Izumino, Gunma 3740193, Japan

来源：

SPIE FUTURE SENSING TECHNOLOGIES | 2019年 / 11197卷

关键词：

microplastics; environmental monitoring; plastic identification; SWIR hyperspectral imaging; PLS-DA; ACCUMULATION; ENVIRONMENT; PLASTICS; DEBRIS;

D O I：

10.1117/12.2542793

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The aim of this study is to develop a new methodology based on optical sensors able to recognize and characterize microplastics collected in the marine environment. In recent years, this pollution represents an environmental emergency with serious effects on human health and marine organisms. The study was carried out on microplastics collected in different geographical areas. Through the hyperspectral imaging (HSI) based approach, performed in the SWIR range (1000-2500 nm), a classification model based on chemometric techniques was implemented in order to identify in a rapid, non invasive and non-destructive way the polymers in the investigated samples.

引用

页数：7

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