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MPX_specDB: A FAIR spectroscopic data collection for enhanced detection of weathered and biofouled polymers
Zenodo (CERN European Organization for Nuclear Research)2024
Score: 45
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Carmen María Moscoso-Pérez,
Robin Lenz,
Carmen María Moscoso-Pérez,
J.M. Andrade
Falk Pollehne,
Falk Pollehne,
Robin Lenz,
J.M. Andrade
J.M. Andrade
Robin Lenz,
Verónica Fernández‐González,
Verónica Fernández‐González,
Fischer, Dieter,
Fischer, Dieter,
J.M. Andrade
Robin Lenz,
Verónica Fernández‐González,
Robin Lenz,
Robin Lenz,
J.M. Andrade
J.M. Andrade
Franziska Fischer,
Franziska Fischer,
J.M. Andrade
Robin Lenz,
Robin Lenz,
Robin Lenz,
Verónica Fernández‐González,
J.M. Andrade
J.M. Andrade
Robin Lenz,
J.M. Andrade
J.M. Andrade
J.M. Andrade
J.M. Andrade
Robin Lenz,
Verónica Fernández‐González,
Franziska Fischer,
J.M. Andrade
Franziska Fischer,
J.M. Andrade
J.M. Andrade
Melinda Arnold,
Franziska Fischer,
Franziska Fischer,
Franziska Fischer,
Franziska Fischer,
Franziska Fischer,
Verónica Fernández‐González,
Robin Lenz,
Robin Lenz,
Verónica Fernández‐González,
Melinda Arnold,
Melinda Arnold,
Robin Lenz,
Robin Lenz,
Franziska Fischer,
Melinda Arnold,
Franziska Fischer,
Franziska Fischer,
Franziska Fischer,
J.M. Andrade
Franziska Fischer,
J.M. Andrade
J.M. Andrade
Soledad Muniategui-Lorenzo,
Verónica Fernández‐González,
Verónica Fernández‐González,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Verónica Fernández‐González,
Verónica Fernández‐González,
Verónica Fernández‐González,
J.M. Andrade
J.M. Andrade
Soledad Muniategui-Lorenzo,
J.M. Andrade
Carmen María Moscoso-Pérez,
J.M. Andrade
J.M. Andrade
Soledad Muniategui-Lorenzo,
Verónica Fernández‐González,
J.M. Andrade
J.M. Andrade
Franziska Fischer,
Franziska Fischer,
Franziska Fischer,
Carmen María Moscoso-Pérez,
Carmen María Moscoso-Pérez,
Carmen María Moscoso-Pérez,
Falk Pollehne,
Soledad Muniategui-Lorenzo,
Robin Lenz,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
J.M. Andrade
J.M. Andrade
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Franziska Fischer,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Falk Pollehne,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Falk Pollehne,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Soledad Muniategui-Lorenzo,
Fischer, Dieter,
Fischer, Dieter,
Falk Pollehne,
Falk Pollehne,
Franziska Fischer,
Fischer, Dieter,
Fischer, Dieter,
J.M. Andrade
Franziska Fischer,
Falk Pollehne,
Falk Pollehne,
Falk Pollehne,
J.M. Andrade
Verónica Fernández‐González,
J.M. Andrade
Summary
Researchers developed MPX_specDB, a FAIR spectroscopic database for microplastic analysis that includes spectra of weathered polymers alongside pristine materials, addressing the underestimation of weathered plastics when pristine-only libraries are used for identification. The database supports more accurate polymer identification in environmental samples where weathering has altered spectral signatures.
Applying the FAIR data principles — Findable, Accessible, Interoperable, and Reusable [1] — brings long-term benefits to research, allowing scientists to understand and utilise their data well into the future. In environmental microplastic (MP) studies, the prevalent use of pristine polymer spectroscopic libraries often leads to underestimation or misclassification due to the changes in MP particles caused by environmental weathering and biofouling. To address this, we conducted a coordinated marine mesocosm experiment across several European coastal sites. Nine polymers were exposed to natural conditions for periods ranging from seven days to six months across seasons. The resulting spectroscopic data, obtained through FTIR and Raman spectroscopy, reflect a variety from little to strong spectral changes due to polymer degradation and biofouling. Published as a FAIR-compliant data set MPX_specDB contains raw spectroscopic data and related metadata structured as a document-based database system [2]. It ensures ease of access and usability for both humans and machines. An interactive web application accompanies the dataset, allowing users to view, filter, plot, and download the data, facilitating its integration into existing MP reference libraries [3]. The open data format makes it easy to incorporate the spectra into MP reference libraries to enhance MP detection capabilities for spectroscopic environmental studies. References [1] M. D. Wilkinson et al., Scientific data, 2016, 160018, DOI: 10.1038/sdata.2016.18. [2] R. Lenz, F. Fischer, M. Arnold, V. Fernández-González, C. M. Moscoso-Pérez, J. M. Andrade-Garda, S. Muniategui-Lorenzo, D. Fischer, Database of Raman and ATR-FTIR spectra of weathered and biofouled polymers, 2023, DOI: 10.5281/zenodo.8314801. [3] https://robna.github.io/MPX_specDB/ Also see: https://micro2024.sciencesconf.org/559741/document