A5037262833- Microplastics and Plastic Pollution
- Recycling and Waste Management Techniques
- biodegradable polymer synthesis and properties
- Biosensors and Analytical Detection
- Additive Manufacturing and 3D Printing Technologies
- Industrial Vision Systems and Defect Detection
- QR Code Applications and Technologies
- SAS software applications and methods
- Data Quality and Management
University of Eastern Finland
2022-2025
Finland University
2024
Microplastic (MP) pollution is a persisting global problem. Accurate analysis essential in quantifying the effects of microplastic and develop novel technologies that reliably reproducibly measure content various samples. The most common methods for this are FTIR Raman spectroscopy. Coloured, standardized beads often used method validation tests, which limits conclusions to very specific case rarely observed natural environment. This study focuses on preparation reference micro- nanoplastics...
In this study a commercial particle analyzer was used to image and help sorting microplastic particles (MPs) dispersed in filtrated de-aerated tap water. The device provides relatively easy fast procedure for obtaining ultra-high-definition imaging, allowing the determination of shape, size, number 2D-projections solid particles. analysis revealed clear differences among studied different MPs originating from grinding five common grades plastic sheets as they affect rendering differently,...
Plastics can contain a variety of different chemicals, which are either intentionally (IAS) or non-intentionally (NIAS) added substances. Recycled plastics especially NIAS, might vary in amount and characteristics, possibly compromising the applicability plastics. As eventually degrade into microplastics, these substances be released their environment upon human exposure, pose threat to health. Therefore, simple methods for comprehensive monitoring chemicals needed guarantee safe use The...
In this article, we demonstrate detection and identification of ten microplastic types directly in a water sample using an table derived from hyperspectral images. We selected total fourteen wavelengths which can be used to distinguish these types. enhanced the visibility by computationally removing baseline correcting with reflectance at 1550 nm. This method avoids, prevents, eases most laborious preparation mandatory prior analysis robust techniques such as Raman spectroscopy Fourier...
A usable loophole for the detection and identification of microplastics directly in water is their specific spectral signature. The determination signatures, or group an optical spectrum, reflection transmission, a mixture enables this material constituents. In article, we present procedure based on hyperspectral imaging measurements to identify sample. This method avoids, prevents, eases laborious sample preparation mandatory prior analysis with robust techniques such as Raman spectroscopy...
Microplastic (MP) pollution is a persisting global problem. Accurate analysis essential in quantifying the effects of microplastic and develop novel technologies that reliably reproducibly measure content various samples. The most common methods for this are FTIR Raman spectroscopy. Coloured, standardized beads often used method validation tests, which limits conclusions to very specific case rarely observed natural environment. This study focuses on preparation reference micro- nanoplastics...
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Microplastics (MPs) are persistent, globally relevant pollutants that have thus far been rigorously studied in natural waters but not as extensively industrial wastewaters. Samples were collected from the forestry industry, wastewater treatment plants and biogas industry. An enzymatic protocol for MPs’ detection was applied to an assortment of samples ranging wastewaters, effluents condensates sludges digestates. The effects selected enzymes systematically develop a basis digestion protocols...
Visual classification has been one of the major methods in sampling and identification microplastics. In this study, however, a commercial particle analyzer was used to image analyze dilute mix microplastic particles (MPs) dispersed filtrated de-aerated tap water. The device provides relatively easy fast procedure for obtaining ultra-high-definition imaging, allowing determination shape, size, number 2D-projections solid particles. analysis revealed clear differences among studied different...
We use hyperspectral imaging to identify the plastic types constituting mixtures of microplastics directly in water. For current study we used known made by milling original pristine sheets and mixed them Using database information spectral measured on those created a decision table enabling identification. This technique is under these conditions paving way towards on-field in-line measurements.
We demonstrate that direct imaging is a powerful tool for the detection and recognition of microplastics in water, even case complex matrices. use commercial high-resolution device (Valmet FS5, Valmet Oy.) originally developed observation wood fibres particles papermill pulp samples. show how to discriminate from other suspension real water differences between several common plastic types homemade