Detection of Microplastics in Water and Ice
It is possible to detect various microplastics (MPs) floating on water or contained in ice due to the unique optical characteristics of plastics of various chemical compositions and structures. When the MPs are measured in the spectral region between 800 and 1000 nm, which has relatively little infl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/17/3532 |
| _version_ | 1797520879284912128 |
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| author | Seohyun Jang Joo-Hyung Kim Jihyun Kim |
| author_facet | Seohyun Jang Joo-Hyung Kim Jihyun Kim |
| author_sort | Seohyun Jang |
| collection | DOAJ |
| description | It is possible to detect various microplastics (MPs) floating on water or contained in ice due to the unique optical characteristics of plastics of various chemical compositions and structures. When the MPs are measured in the spectral region between 800 and 1000 nm, which has relatively little influence on the temperature change in water, they are frequently perceived as noise or obscured by the surrounding reflection spectra because of the small number and low intensity of the representative peak wavelengths. In this study, we have applied several mathematical methods, including the convex hull, Gaussian deconvolution, and curve fitting to amplify and normalize the reflectance and thereby find the spectral properties of each polymer, namely polypropylene (PP), polyethylene terephthalate (PET), methyl methacrylate (PMMA), and polyethylene (PE). Blunt-shaped spectra with a relatively large maximum of normalized reflectance (NR<sub>max</sub>) can be decomposed into several Gaussian peak wavelengths: 889, 910, and 932 nm for the PP and 898 and 931 nm for the PE. Moreover, unique peak wavelengths with the meaningful measure at 868 and 907 nm for the PET and 887 nm for the PMMA were also obtained. Based on the results of the study, one can say that each plastic can be identified with up to 81% precision by compensating based on the spectral properties even when they are hidden in water or ice. |
| first_indexed | 2024-03-10T08:04:51Z |
| format | Article |
| id | doaj.art-5c4c034d15664e01bb51f1cecec93305 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T08:04:51Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-5c4c034d15664e01bb51f1cecec933052023-11-22T11:10:22ZengMDPI AGRemote Sensing2072-42922021-09-011317353210.3390/rs13173532Detection of Microplastics in Water and IceSeohyun Jang0Joo-Hyung Kim1Jihyun Kim2Laboratory of Intelligent Device and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, KoreaLaboratory of Intelligent Device and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, KoreaINHA Institute of Space Science and Technology, Inha University, Incheon 22212, KoreaIt is possible to detect various microplastics (MPs) floating on water or contained in ice due to the unique optical characteristics of plastics of various chemical compositions and structures. When the MPs are measured in the spectral region between 800 and 1000 nm, which has relatively little influence on the temperature change in water, they are frequently perceived as noise or obscured by the surrounding reflection spectra because of the small number and low intensity of the representative peak wavelengths. In this study, we have applied several mathematical methods, including the convex hull, Gaussian deconvolution, and curve fitting to amplify and normalize the reflectance and thereby find the spectral properties of each polymer, namely polypropylene (PP), polyethylene terephthalate (PET), methyl methacrylate (PMMA), and polyethylene (PE). Blunt-shaped spectra with a relatively large maximum of normalized reflectance (NR<sub>max</sub>) can be decomposed into several Gaussian peak wavelengths: 889, 910, and 932 nm for the PP and 898 and 931 nm for the PE. Moreover, unique peak wavelengths with the meaningful measure at 868 and 907 nm for the PET and 887 nm for the PMMA were also obtained. Based on the results of the study, one can say that each plastic can be identified with up to 81% precision by compensating based on the spectral properties even when they are hidden in water or ice.https://www.mdpi.com/2072-4292/13/17/3532microplasticsnear-infraredconvex hullLevenberg–Marquardt curve fittingidentification |
| spellingShingle | Seohyun Jang Joo-Hyung Kim Jihyun Kim Detection of Microplastics in Water and Ice Remote Sensing microplastics near-infrared convex hull Levenberg–Marquardt curve fitting identification |
| title | Detection of Microplastics in Water and Ice |
| title_full | Detection of Microplastics in Water and Ice |
| title_fullStr | Detection of Microplastics in Water and Ice |
| title_full_unstemmed | Detection of Microplastics in Water and Ice |
| title_short | Detection of Microplastics in Water and Ice |
| title_sort | detection of microplastics in water and ice |
| topic | microplastics near-infrared convex hull Levenberg–Marquardt curve fitting identification |
| url | https://www.mdpi.com/2072-4292/13/17/3532 |
| work_keys_str_mv | AT seohyunjang detectionofmicroplasticsinwaterandice AT joohyungkim detectionofmicroplasticsinwaterandice AT jihyunkim detectionofmicroplasticsinwaterandice |