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Detection Methods
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Detection and identification of microplastics directly in water by hyperspectral imaging
EPJ Web of Conferences2023
1 citation
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 30
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ana Gebejes,
Ana Gebejes,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Ana Gebejes,
Ana Gebejes,
Ana Gebejes,
Ana Gebejes,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
M. Roussey,
Blaž Hrovat,
Blaž Hrovat,
Ana Gebejes,
Ana Gebejes,
Ana Gebejes,
M. Roussey,
Ana Gebejes,
Ana Gebejes,
Ana Gebejes,
Arto Koistinen
Blaž Hrovat,
Blaž Hrovat,
Boniphace Kaynathare,
Boniphace Kaynathare,
Arto Koistinen
Blaž Hrovat,
Blaž Hrovat,
M. Roussey,
M. Roussey,
M. Roussey,
Arto Koistinen
Blaž Hrovat,
Blaž Hrovat,
Blaž Hrovat,
Blaž Hrovat,
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Blaž Hrovat,
Blaž Hrovat,
Arto Koistinen
M. Roussey,
M. Roussey,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Dmitri Semenov,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Dmitri Semenov,
Arto Koistinen
Kai-Erik Peiponen∥,
Arto Koistinen
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Dmitri Semenov,
Arto Koistinen
Blaž Hrovat,
Arto Koistinen
Arto Koistinen
Arto Koistinen
Blaž Hrovat,
Dmitri Semenov,
Kai-Erik Peiponen∥,
Arto Koistinen
M. Roussey,
M. Roussey,
Arto Koistinen
Kai-Erik Peiponen∥,
Arto Koistinen
Arto Koistinen
Kai-Erik Peiponen∥,
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Kai-Erik Peiponen∥,
Tommi Itkonen,
Tommi Itkonen,
Tommi Itkonen,
Tommi Itkonen,
Tommi Itkonen,
Arto Koistinen
Arto Koistinen
Blaž Hrovat,
Arto Koistinen
Tommi Itkonen,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Arto Koistinen
Kai-Erik Peiponen∥,
Arto Koistinen
Kai-Erik Peiponen∥,
Arto Koistinen
M. Roussey,
Markku Keinänen,
Markku Keinänen,
Markku Keinänen,
Ana Gebejes,
Kai-Erik Peiponen∥,
Ana Gebejes,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
M. Roussey,
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Arto Koistinen
Kai-Erik Peiponen∥,
Arto Koistinen
Arto Koistinen
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
M. Roussey,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Arto Koistinen
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
M. Roussey,
M. Roussey,
M. Roussey,
M. Roussey,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
M. Roussey,
M. Roussey,
Kai-Erik Peiponen∥,
Kai-Erik Peiponen∥,
Arto Koistinen
Arto Koistinen
Summary
Researchers used hyperspectral imaging to identify different types of microplastics mixed together in water, demonstrating that the technique can distinguish polymer types based on their spectral signatures. This non-destructive, real-time method could improve the speed and accuracy of microplastic monitoring in water samples.
We use hyperspectral imaging to identify the plastic types constituting mixtures of microplastics directly in water. For the current study we used known microplastics made by milling original pristine plastic sheets and mixed them in water. Using database information and spectral information measured on those pristine plastic we created a decision table enabling the identification. This technique is used under these conditions paving a way towards on-field and in-line measurements.