Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager
Abstract Interference from water in the reflectance spectra of plastics is a major obstacle to optical sensing of plastics in aquatic environments. Here we present evidence of the feasibility of sensing plastics in water using hyperspectral near-infrared to shortwave-infrared imaging techniques. We...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-39754-7 |
| _version_ | 1797560097051770880 |
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| author | Chunmao Zhu Yugo Kanaya |
| author_facet | Chunmao Zhu Yugo Kanaya |
| author_sort | Chunmao Zhu |
| collection | DOAJ |
| description | Abstract Interference from water in the reflectance spectra of plastics is a major obstacle to optical sensing of plastics in aquatic environments. Here we present evidence of the feasibility of sensing plastics in water using hyperspectral near-infrared to shortwave-infrared imaging techniques. We captured hyperspectral images of nine polymers submerged to four depths (2.5–15 mm) in water using a hyperspectral imaging system that utilizes near-infrared to shortwave-infrared light sources. We also developed algorithms to predict the reflectance spectra of each polymer in water using the spectra of the dry plastics and water as independent variables in a multiple linear regression model after a logarithmic transformation. A narrow 1100–1300 nm wavelength range was advantageous for detection of polyethylene, polystyrene, and polyvinyl chloride in water down to the 160–320 µm size range, while a wider 970–1670 nm wavelength range was beneficial for polypropylene reflectance spectrum prediction in water. Furthermore, we found that the spectra of the other five polymers, comprising polycarbonate, acrylonitrile butadiene styrene, phenol formaldehyde, polyacetal, and polymethyl methacrylate, could also be predicted within their respective optimized wavelength ranges. Our findings provide fundamental information for direct sensing of plastics in water on both benchtop and airborne platforms. |
| first_indexed | 2024-03-10T17:54:36Z |
| format | Article |
| id | doaj.art-2cafeed96fd141b9b69e1e4291eb5d07 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-10T17:54:36Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-2cafeed96fd141b9b69e1e4291eb5d072023-11-20T09:13:58ZengNature PortfolioScientific Reports2045-23222023-10-0113111310.1038/s41598-023-39754-7Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imagerChunmao Zhu0Yugo Kanaya1Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)Abstract Interference from water in the reflectance spectra of plastics is a major obstacle to optical sensing of plastics in aquatic environments. Here we present evidence of the feasibility of sensing plastics in water using hyperspectral near-infrared to shortwave-infrared imaging techniques. We captured hyperspectral images of nine polymers submerged to four depths (2.5–15 mm) in water using a hyperspectral imaging system that utilizes near-infrared to shortwave-infrared light sources. We also developed algorithms to predict the reflectance spectra of each polymer in water using the spectra of the dry plastics and water as independent variables in a multiple linear regression model after a logarithmic transformation. A narrow 1100–1300 nm wavelength range was advantageous for detection of polyethylene, polystyrene, and polyvinyl chloride in water down to the 160–320 µm size range, while a wider 970–1670 nm wavelength range was beneficial for polypropylene reflectance spectrum prediction in water. Furthermore, we found that the spectra of the other five polymers, comprising polycarbonate, acrylonitrile butadiene styrene, phenol formaldehyde, polyacetal, and polymethyl methacrylate, could also be predicted within their respective optimized wavelength ranges. Our findings provide fundamental information for direct sensing of plastics in water on both benchtop and airborne platforms.https://doi.org/10.1038/s41598-023-39754-7 |
| spellingShingle | Chunmao Zhu Yugo Kanaya Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager Scientific Reports |
| title | Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager |
| title_full | Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager |
| title_fullStr | Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager |
| title_full_unstemmed | Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager |
| title_short | Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager |
| title_sort | eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near infrared imager |
| url | https://doi.org/10.1038/s41598-023-39754-7 |
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