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Electrochemical impedance spectroscopy applied to samples of water with microplastics
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Researchers measured electrochemical impedance spectroscopy (EIS) signatures of PET and expanded polystyrene microplastics across three size classes in water matrices of increasing complexity, generating a reference dataset to support machine learning-based microplastic identification using an electronic tongue.
Microplastic data were collected for two material types: PET (polyethylene terephthalate) and expanded polystyrene (EPS) in sizes of 500, 1000, and 1500 micrometers. Measurements were performed using an electronic tongue and electrochemical impedance spectroscopy (EIS). Each sample consist on 500 c.c. of water and 1.4 g of each material according to the following description: (i) Water. (ii) Water with inert organic matter. (iii) Water with inert organic matter plus inorganic matter. (iiii) Water with inert organic matter plus inorganic matter and organic matter. Conventions: Wt: Water Mp: Microplastic. IOM: Inert organic matter. INM: Inorganic matter. LOM: Living organic matter File water.xlsx includes the baseline (only water) and the folders PET.zip and ESP.zip inclides the data for PET (polyethylene terephthalate) and expanded polystyrene (EPS) respectively. More information about the use of the dataset : -https://onlinelibrary.wiley.com/doi/full/10.1155/2024/5298635 Sarmiento, Juan, Anaya, Maribel, Tibaduiza, Diego, Microplastic Identification Using Impedance Spectroscopy and Machine Learning Algorithms, International Journal of Distributed Sensor Networks, 2024, 5298635, 14 pages, 2024. https://doi.org/10.1155/2024/5298635 -Sarmiento, J. D. (2024). Desarrollo de un sistema para la detección e identificación de microplásticos en cuerpos de agua utilizando espectroscopia de impedancia. Recovered from: https://repositorio.unal.edu.co/handle/unal/86071 https://repositorio.unal.edu.co/items/f0e92a48-807c-4b82-99e6-78f41d632215
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