Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach
The study proposes a novel speckle interferometric method for detecting and quantifying microplastic leaching from paper cups, addressing concerns raised by the World Health Organization regarding human health risks. Hot water at varying temperatures is placed in 36 paper cups from different manufac...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/11/12/1121 |
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| author | Mankuzhy Anilkumar Rithwiq Puthuparambil Anju Abraham Mohanachandran Nair Sindhu Swapna Sankaranarayana Iyer Sankararaman |
| author_facet | Mankuzhy Anilkumar Rithwiq Puthuparambil Anju Abraham Mohanachandran Nair Sindhu Swapna Sankaranarayana Iyer Sankararaman |
| author_sort | Mankuzhy Anilkumar Rithwiq |
| collection | DOAJ |
| description | The study proposes a novel speckle interferometric method for detecting and quantifying microplastic leaching from paper cups, addressing concerns raised by the World Health Organization regarding human health risks. Hot water at varying temperatures is placed in 36 paper cups from different manufacturers, and the specklegrams of the paper cups’ interior surface are recorded. The quantity of microplastics leached into water is estimated by the Neubauer chamber method, which increases with rising water temperature. Surface morphology analysis through atomic force microscopic images reveals thermal-induced melting and smearing of microplastics, decreasing roughness parameters. Co-occurrence matrix analysis of specklegrams correlates image parameters—inertia moment, homogeneity, energy, contrast, and entropy—with the microplastics count, showing surface modifications and altered pixel intensity distribution with increasing water temperature. Regression equations based on image parameters establish a strong correlation with the microplastics count, that are validated against the Neubauer chamber method. The study indicates contrast as the potential sensitive specklegram feature for microplastics detection and quantification. |
| format | Article |
| id | doaj-art-aae72c28ca274bae9f12cb4301484f4e |
| institution | DOAJ |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-aae72c28ca274bae9f12cb4301484f4e2025-08-20T02:43:49ZengMDPI AGPhotonics2304-67322024-11-011112112110.3390/photonics11121121Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical ApproachMankuzhy Anilkumar Rithwiq0Puthuparambil Anju Abraham1Mohanachandran Nair Sindhu Swapna2Sankaranarayana Iyer Sankararaman3Department of Optoelectronics, University of Kerala, Trivandrum 695581, IndiaDepartment of Optoelectronics, University of Kerala, Trivandrum 695581, IndiaLaboratory for Environmental and Life Sciences, University of Nova Gorica, Vipavska 13, SI-5000 Nova Gorica, SloveniaDepartment of Optoelectronics, University of Kerala, Trivandrum 695581, IndiaThe study proposes a novel speckle interferometric method for detecting and quantifying microplastic leaching from paper cups, addressing concerns raised by the World Health Organization regarding human health risks. Hot water at varying temperatures is placed in 36 paper cups from different manufacturers, and the specklegrams of the paper cups’ interior surface are recorded. The quantity of microplastics leached into water is estimated by the Neubauer chamber method, which increases with rising water temperature. Surface morphology analysis through atomic force microscopic images reveals thermal-induced melting and smearing of microplastics, decreasing roughness parameters. Co-occurrence matrix analysis of specklegrams correlates image parameters—inertia moment, homogeneity, energy, contrast, and entropy—with the microplastics count, showing surface modifications and altered pixel intensity distribution with increasing water temperature. Regression equations based on image parameters establish a strong correlation with the microplastics count, that are validated against the Neubauer chamber method. The study indicates contrast as the potential sensitive specklegram feature for microplastics detection and quantification.https://www.mdpi.com/2304-6732/11/12/1121specklegramsmicroplasticsspeckle interferometryco-occurrence matrixentropy |
| spellingShingle | Mankuzhy Anilkumar Rithwiq Puthuparambil Anju Abraham Mohanachandran Nair Sindhu Swapna Sankaranarayana Iyer Sankararaman Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach Photonics specklegrams microplastics speckle interferometry co-occurrence matrix entropy |
| title | Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach |
| title_full | Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach |
| title_fullStr | Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach |
| title_full_unstemmed | Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach |
| title_short | Quantifying Microplastic Leaching from Paper Cups: A Specklegram Image Analytical Approach |
| title_sort | quantifying microplastic leaching from paper cups a specklegram image analytical approach |
| topic | specklegrams microplastics speckle interferometry co-occurrence matrix entropy |
| url | https://www.mdpi.com/2304-6732/11/12/1121 |
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