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Inter-instrument definition of valid criteria for the automatic identification of microplastics by micro-Raman spectroscopy
Talanta2025
1 citation
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 53
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Bettencourt da Silva, Ricardo,
Claudia Drago,
Claudia Drago,
Claudia Drago,
Claudia Drago,
Braun, Ulrike,
Braun, Ulrike,
José Miguel Almeida,
Paul‐Tiberiu Miclea,
Rafaela Fernandes,
Maria Elisabetta Fadda,
Braun, Ulrike,
Maria Elisabetta Fadda,
Braun, Ulrike,
Paul‐Tiberiu Miclea,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Mara Putzu
Braun, Ulrike,
Braun, Ulrike,
Mara Putzu
Paul‐Tiberiu Miclea,
Andrea Mario Giovannozzi,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Paul‐Tiberiu Miclea,
Mara Putzu
Mara Putzu
Mara Putzu
Monica Mattarozzi,
Mara Putzu
Paul‐Tiberiu Miclea,
Rafaela Fernandes,
Bettencourt da Silva, Ricardo,
Claudia Drago,
Alessio Sacco,
Paul‐Tiberiu Miclea,
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Alessio Sacco,
Alessio Sacco,
Alessio Sacco,
Andrea Mario Giovannozzi,
Maria Careri,
Mara Putzu
Paul‐Tiberiu Miclea,
Carla Palma,
M Barbaresi,
Claudia Drago,
Carla Palma,
M Barbaresi,
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Braun, Ulrike,
Braun, Ulrike,
Maria Elisabetta Fadda,
Claudia Drago,
Braun, Ulrike,
Bettencourt da Silva, Ricardo,
Alessio Sacco,
Braun, Ulrike,
Andrea Mario Giovannozzi,
Braun, Ulrike,
Paul‐Tiberiu Miclea,
Bettencourt da Silva, Ricardo,
Bettencourt da Silva, Ricardo,
Andrea Mario Giovannozzi,
Bettencourt da Silva, Ricardo,
Braun, Ulrike,
Andrea Mario Rossi,
Alessio Sacco,
Braun, Ulrike,
Braun, Ulrike,
Bettencourt da Silva, Ricardo,
Bettencourt da Silva, Ricardo,
Bettencourt da Silva, Ricardo,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Maria Elisabetta Fadda,
Carla Palma,
Monica Mattarozzi,
Alessio Sacco,
Mara Putzu
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Andrea Mario Giovannozzi,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Carla Palma,
Claudia Drago,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Monica Mattarozzi,
Carla Palma,
Matteo Masino,
Braun, Ulrike,
Carla Palma,
Braun, Ulrike,
Alessio Sacco,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Paul‐Tiberiu Miclea,
Braun, Ulrike,
Andrea Mario Rossi,
Alessio Sacco,
Matteo Masino,
Paul‐Tiberiu Miclea,
Maria Careri,
Braun, Ulrike,
Paul‐Tiberiu Miclea,
Alessio Sacco,
Matteo Masino,
Bettencourt da Silva, Ricardo,
Andrea Mario Giovannozzi,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Braun, Ulrike,
Andrea Mario Giovannozzi,
Maria Careri,
Andrea Mario Giovannozzi,
M Barbaresi,
Paul‐Tiberiu Miclea,
Paul‐Tiberiu Miclea,
M Barbaresi,
Andrea Mario Giovannozzi,
Braun, Ulrike,
Maria Elisabetta Fadda,
Braun, Ulrike,
Braun, Ulrike,
Matteo Masino,
Andrea Mario Rossi,
Paul‐Tiberiu Miclea,
Monica Mattarozzi,
Paul‐Tiberiu Miclea,
Maria Careri,
Braun, Ulrike,
Monica Mattarozzi,
Alessio Sacco,
Andrea Mario Giovannozzi,
Bettencourt da Silva, Ricardo,
Carla Palma,
Carla Palma,
Andrea Mario Rossi,
José Miguel Almeida,
Andrea Mario Rossi,
Claudia Drago,
Maria Careri,
Andrea Mario Giovannozzi,
Olivier Pellegrino,
Alessio Sacco,
Andrea Mario Giovannozzi,
Raquel Quendera,
Braun, Ulrike,
Bettencourt da Silva, Ricardo,
Braun, Ulrike,
Alessio Sacco,
Monica Mattarozzi,
Alessio Sacco,
Alessio Sacco,
Alessio Sacco,
Maria Careri,
Andrea Mario Giovannozzi,
Alessio Sacco,
Maria Elisabetta Fadda,
Mara Putzu
Summary
Researchers developed a standardized methodology for automatically identifying microplastics using micro-Raman spectroscopy across different laboratory instruments. They determined optimal match algorithms and threshold values that achieved a 95% true positive rate with minimal false positives, even when spectra were collected on different spectrometers. The study addresses a key barrier to reliable, reproducible microplastic identification in environmental and health research.
The assessment of the impact of microplastic contamination on the environment and human health requires a reliable identification of the polymer type of these particles. μ-Raman spectroscopy is a popular technique for identifying microplastics by comparing the reference spectra with those of the particles analysed. Automatic identification of microplastics requires defining an algorithm for the match between these spectra and setting a minimum match above which identification is performed with adequately high true and low false results rates. Ideally, the algorithm and match threshold should apply to different spectrometers and spectra collection parameters. This research presents a methodology to determine the best match algorithm for polymer identification using μ-Raman spectroscopy data collected on different instruments and laboratories, associated with a true positive rate (TP) of 95 % and a false positive rate (FP) lower than 5 %. Determining the match threshold (P5»P) by the bootstrap method does not require assumptions regarding match distribution. The normal distribution of the match between the reference and a particle's spectra from a different material allows FP determination. Identifying PET microparticles was optimal using Pearson's correlation coefficient (P5»P = 0.6244, TP = 95 %, FP = 4.9 × 10 %). Identification quality was tested based on three unweighted and three weighted correlation coefficients. Spectra with signal-to-noise ratios lower than 10 were forwarded to manual identifications. The MS Excel files used in the research are available as supporting information. The developed methodology for setting up identification criteria of microplastics by spectroscopy proved to be adequate for μ-Raman assessments and robust to different spectrometers and spectra collection conditions.