One4All: An Open Source Portal to Validate, Share, and Harmonize Microplastics Data
One4All is an open-source portal and R package for validating, structuring, and sharing microplastics data- designed to accelerate FAIR data practices.
Microplastics and Trash Cleaning and Harmonization: Semantic Data Ingestion and Harmonization Using Artificial Intelligence
MaTCH is an AI-powered tool that harmonizes microplastics and trash datasets. Use the live app or open-source code to standardize plastic pollution data.
Harmonized Reporting Guidelines for Microplastics Research
Harmonized reporting guidelines for microplastics studies – covering metadata, QA/QC, sampling, preparation, identification, quantification, and toxicology.
Sampling and QA/QC Guidance for Microplastics Research
Authoritative sampling and QA/QC guidance on microplastics across matrices, covering contamination control, blanks, study design, and reporting best practices.
Companion Spectral Visualization App for SLOPP/SLOPP-e Raman Libraries
An RShiny-powered minimalist web app to visualize spectra for SLOPP/SLOPP-e Raman libraries developed by Professor Andrew Rate, School of Agriculture and Environment, The University of Western Australia. If you use this app […]
siMPle (Systematic Identification of MicroPLastics in the Environment)
siMPle is a free, open software for FTIR / IR imaging microplastic identification, combining MPHunter UI with automation pipeline.
Companion Spectral Visualization App for FLOPP/FLOPP-e ATR-FTIR Libraries
A small RShiny-powered app that visualizes FLOPP/FLOPP-e spectra easily when not using instrument software.
Microplastics separation + detection method for secondary school students using nile red
A low-cost, classroom-ready fluorescence method using Nile Red lets students and citizen scientists detect microplastics in local sediments—bringing hands-on STEM learning and community monitoring together.
Low-cost portable microplastic detection system integrating nile red fluorescence staining with YOLOv8-based deep learning
A a low-cost portable microplastic detection system combining Nile Red staining and YOLOv8 deep learning. Unfortunately, authors have not released code or schematics, limiting reproducibility.
Polyethylene terephthalate (PET) microplastic particles in water: EURM®-060
A PET-based certified reference material for microplastic particles in a water matrix. It was produced in accordance with ISO 17034:2016 and ISO 33405:2024.