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Detection Methods
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A machine learning algorithm for high throughput identification of FTIR spectra: Application on microplastics collected in the Mediterranean Sea
Chemosphere2019
172 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 55
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Stéphane Bruzaud,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Mathilde Falcou-Préfol,
Mathilde Falcou-Préfol,
Mathilde Falcou-Préfol,
Mathilde Falcou-Préfol,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Mathilde Falcou-Préfol,
Kedzierski, Mikaël,
Maryvonne Henry,
Maryvonne Henry,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Mathilde Falcou-Préfol,
Marie Emmanuelle Kerros,
Stéphane Bruzaud,
Marie Emmanuelle Kerros,
Stéphane Bruzaud,
Mathilde Falcou-Préfol,
Maria Luiza Pedrotti
Mathilde Falcou-Préfol,
Mathilde Falcou-Préfol,
Maria Luiza Pedrotti
Mathilde Falcou-Préfol,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Marie Emmanuelle Kerros,
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Mathilde Falcou-Préfol,
Mathilde Falcou-Préfol,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Maryvonne Henry,
Marie Emmanuelle Kerros,
Marie Emmanuelle Kerros,
Marie Emmanuelle Kerros,
Marie Emmanuelle Kerros,
Maryvonne Henry,
Marie Emmanuelle Kerros,
Marie Emmanuelle Kerros,
Marie Emmanuelle Kerros,
Maria Luiza Pedrotti
Stéphane Bruzaud,
Marie Emmanuelle Kerros,
Maryvonne Henry,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Stéphane Bruzaud,
Maryvonne Henry,
Stéphane Bruzaud,
Kedzierski, Mikaël,
Maryvonne Henry,
Maria Luiza Pedrotti
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Marie Emmanuelle Kerros,
Maryvonne Henry,
Stéphane Bruzaud,
Maria Luiza Pedrotti
Stéphane Bruzaud,
Stéphane Bruzaud,
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Maryvonne Henry,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maryvonne Henry,
Maria Luiza Pedrotti
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Mathilde Falcou-Préfol,
Mathilde Falcou-Préfol,
Maryvonne Henry,
Stéphane Bruzaud,
Maryvonne Henry,
Stéphane Bruzaud,
Kedzierski, Mikaël,
Stéphane Bruzaud,
Maryvonne Henry,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Maryvonne Henry,
Maryvonne Henry,
Maryvonne Henry,
Stéphane Bruzaud,
Stéphane Bruzaud,
Stéphane Bruzaud,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Stéphane Bruzaud,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maryvonne Henry,
Maryvonne Henry,
Maria Luiza Pedrotti
Stéphane Bruzaud,
Stéphane Bruzaud,
Kedzierski, Mikaël,
Stéphane Bruzaud,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Stéphane Bruzaud,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Kedzierski, Mikaël,
Kedzierski, Mikaël,
Stéphane Bruzaud,
Kedzierski, Mikaël,
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Maria Luiza Pedrotti
Summary
Researchers developed a machine learning method to automatically identify the chemical composition of microplastics from FTIR spectroscopy data collected during the Tara Mediterranean expedition. The algorithm performed well for common polymers like polyethylene and was applied to classify over 4,000 unidentified microplastic spectra. The study demonstrates that automated identification tools can significantly speed up large-scale microplastic pollution surveys while maintaining acceptable accuracy.
The development of methods to automatically determine the chemical nature of microplastics by FTIR-ATR spectra is an important challenge. A machine learning method, named k-nearest neighbors classification, has been applied on spectra of microplastics collected during Tara Expedition in the Mediterranean Sea (2014). To realize these tests, a learning database composed of 969 microplastic spectra has been created. Results show that the machine learning process is very efficient to identify spectra of classical polymers such as poly(ethylene), but also that the learning database must be enhanced with less common microplastic spectra. Finally, this method has been applied on more than 4000 spectra of unidentified microplastics. The verification protocol showed less than 10% difference in the results between the proposed automated method and a human expertise, 75% of which can be very easily corrected.