0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Policy & Risk Sign in to save

FTIR-Plastics: A Fourier Transform Infrared Spectroscopy dataset for the six most prevalent industrial plastic polymers

Data in Brief 2024 21 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Octavio Villegas-Camacho, R. Alejo, Iván Francisco-Valencia, E. E. Granda-Gutiérrez, Sonia Martínez‐Gallegos, Javier Illescas

Summary

Researchers created two publicly available datasets containing 3,000 infrared spectroscopy readings of the six most commonly used industrial plastic polymers. The datasets provide reference spectra at two different resolutions for plastics like polyethylene, polypropylene, and PVC. This resource is designed to help other researchers more accurately and efficiently identify microplastic particles in environmental samples.

This work introduces two datasets: FTIR-Plastics-C4 (Fourier Transform Infrared Spectroscopy, in plastics, at a wavenumber spectral resolution of 4 cm⁻¹) and FTIR-Plastics-C8 (Fourier Transform Infrared Spectroscopy, in plastics, at a wavenumber spectral resolution of 8 cm⁻¹), each comprising 3,000 spectra corresponding to the most used synthetic polymers worldwide. The main contribution of this work lies in the selection and FTIR characterization of the six polymers commonly used in everyday life and industry, namely Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), Polyvinyl Chloride (PVC), Low-Density Polyethylene (LDPE), Polypropylene (PP), and Polystyrene (PS). FTIR-Plastics-C4 consists of 3,000 spectra obtained with a configuration of 32 scans and a resolution of 4 cm⁻¹, covering a range from 4000 to 400 cm⁻¹. The FTIR-Plastics-C8 dataset also contains 3,000 spectra obtained with 32 scans and a resolution of 8 cm⁻¹ within the same range. A cleaning stage was applied to the FTIR-Plastics datasets, removing the header containing 19 lines and a footer with 34 lines from the original file. Additionally, a standardization process assigns 15 lines in the files to highlight information regarding the equipment used (based on the information provided by a Jasco spectrophotometer, model FT/IR-6700 PRO 4x, used for polymer characterization). The final dataset is in tabular .csv file format. The dataset is available on an open repository, and its application was designed to identify microplastics extracted from the environment and enable comparisons between commercial polymers.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Contributions of Fourier transform infrared spectroscopy in microplastic pollution research: A review

This review covers advances in Fourier transform infrared (FTIR) spectroscopy techniques — including chemical imaging — for identifying polymer types in microplastic samples and tracing their fate in different environmental matrices.

Article Tier 2

Comprehensive analysis of common polymers using hyphenated TGA-FTIR-GC/MS and Raman spectroscopy towards a database for micro- and nanoplastics identification, characterization, and quantitation

Researchers developed a comprehensive analytical method combining multiple spectroscopy techniques to identify and quantify 35 common plastic types found as micro and nanoplastics in the environment. The resulting database serves as a reference standard for consistently detecting plastic pollution across different studies and sample types. This work addresses a critical gap in standardizing how microplastic contamination is measured worldwide.

Article Tier 2

Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples

Hyperspectral infrared imaging is an effective method for finding and characterizing microplastics in environmental samples, and this paper explores analytical approaches for extracting useful information from the large datasets it generates. Better analytical tools make it faster and more accurate to identify and classify microplastics in real-world samples.

Article Tier 2

Generation of synthetic FTIR spectra to facilitate chemical identification of microplastics

Researchers generated synthetic FTIR spectra of microplastics using computational methods to augment training datasets for automated spectral identification algorithms. The synthetic spectra closely matched experimentally measured spectra, and classifiers trained on augmented datasets showed improved accuracy for identifying underrepresented polymer types in real-world samples.

Article Tier 2

μATR-FTIR Spectral Libraries of Plastic Particles (FLOPP and FLOPP-e) for the Analysis of Microplastics

Researchers developed two novel FTIR spectral libraries (FLOPP and FLOPP-e) specific to microplastic particles, including weathered samples, demonstrating improved spectral matching accuracy for identifying environmental microplastics compared to conventional polymer databases.

Share this paper