We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers
Summary
This is a dataset and source code repository supporting research on high-throughput FTIR spectroscopy for identifying macro and microplastics using plate readers. Providing open-access analytical tools helps researchers detect and quantify plastic pollution more efficiently across large sample sets.
Data and source code for reproducing the analysis conducted in "High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers" All materials are licensed for noncommercial purposes https://creativecommons.org/licenses/by-nc/4.0/ Explanatory_Videos.zip has videos showing data collection methods. HIDA_Publication.R has source code for doing data cleanup and analysis on data in database.zip. databasedata.zip holds all raw and analyzed data. - ATR, Reflectance, and Transmission folders has all data used in the manuscript. In a raw (.0) and combined (export.csv) format for each of the plates analyzed (folder numbers). - Plots folder has images of each spectrum. - cell_information.csv has the raw ids and comments made at the time the particles were assessed. - classes_reference_2.csv has the transformations used to standardize open specy's terms to polymer classes. - CleanedSpectra_raw.csv has the total cleaned up database of all spectral intensities in long format. - joined_cell_metadata.csv has the metadata for each plate well analyzed. - library_metadata.csv has metadata for each spectrum in raw form for each particle id. - Lisa_Plate_6.csv has the metadata from Lisa Roscher used in this study. - Metadata_raw.csv has the conformed metadata that can be paired with the CleanedSpectra_raw.csv file. - OpenSpecy_Classification_Baseline.csv has the particle metadata combined with Open Specy's classes identified after baseline correcting and smoothing the spectra with the standard Open Specy routine. - OpenSpecy_Classification_Raw.csv has the particle metadata combined with Open Specy's identified classes if using the raw spectra. - particle_spectrum_match.csv converts particle ids to their reference in the Polymer_Material_Database_AWI_V2_Win.xlsx file. - Polymer_Material_Database_AWI_V2_Win.xlsx metadata on materials from Primpke's database. - polymer_metadata_2.csv can be used to crosswalk polymer categories to more or less specific terminology. - spread_os.csv is the reference database used in CleanedSpectra_raw.csv that has been spread to wide format. - Top Correlation Data20221201-125621.csv is a download of results from Open Specy's beta tool that provides the top ids from the reference database.
Sign in to start a discussion.
More Papers Like This
Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers
This is a dataset and source code repository supporting research on high-throughput FTIR spectroscopy for identifying macro and microplastics using plate readers. Providing open-access analytical tools helps researchers detect and quantify plastic pollution more efficiently across large sample sets.
Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers
This dataset and code support a method using FTIR plate readers to analyze large numbers of macro- and microplastic samples simultaneously. High-throughput FTIR analysis dramatically increases the speed of plastic identification compared to traditional one-sample approaches. The open-source tools make large-scale environmental microplastic monitoring more accessible.
High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers
This study developed high-throughput FTIR plate reader methods to analyze larger microplastics and macroplastics more efficiently than traditional manual ATR approaches. Faster and more automated chemical identification of plastic particles is critical for scaling up environmental monitoring programs.
Generation of macro- and microplastic databases by high-throughput FTIR analysis with microplate readers
Researchers developed a high-throughput FTIR analysis technique using microplate readers to rapidly characterize large microplastics and macroplastics, which have traditionally required slower manual methods. They created a reference database of over 6,000 spectra covering more than 600 plastic, organic, and mineral materials across multiple measurement modes. The study addresses key analytical bottlenecks in plastic pollution research by enabling faster, non-destructive identification of larger plastic particles.
uFTIR: An R package to process hyperspectral images of environmental samples captured with μ FTIR microscopes
This paper introduces uFTIR, an R software package that automates the analysis of microscope images used to detect and identify microplastics in environmental samples. The tool uses spectral pattern matching to classify particles and can process large datasets efficiently. Standardized, automated analysis tools like this are important for making microplastic research more consistent and comparable across studies.