0
Article Tier 2 Detection Methods Sign in to save

Toward the Systematic Identification of Microplastics in the Environment: Evaluation of a New Independent Software Tool (siMPle) for Spectroscopic Analysis

Applied Spectroscopy 2020 255 citations

AI summary Read the abstract

A new free software tool called siMPle was developed to standardize microplastic identification from FTIR spectroscopy across instruments from different manufacturers, using a shared database and automated analysis pipeline. Testing across four different instrument types confirmed the tool produces consistent and comparable results, addressing a major bottleneck in microplastics monitoring.

Microplastics (MP) are ubiquitous within the environment, but the approaches to analysis of this contaminant are currently quite diverse, with a number of analytical methods available. The comparability of results is hindered as even for a single analytical method such as Fourier transform infrared spectroscopy (FT-IR) the different instruments currently available do not allow a harmonized analysis. To overcome this limitation, a new free of charge software tool, allowing the systematic identification of MP in the environment (siMPle) was developed. This software tool allows a rapid and harmonized analysis of MP across FT-IR systems from different manufacturers (Bruker Hyperion 3000, Agilent Cary 620/670, PerkinElmer Spotlight 400, and Thermo Fischer Scientific Nicolet iN10). Using the same database and the automated analysis pipeline in siMPle, MP were identified in samples that were analyzed with instruments with different detector systems as well as optical resolutions and the results discussed.

More Papers Like This

Article Tier 2

Inter-equipment reliable identification of microplastics by micro-FTIR using low computational resources

AI summary Read the abstract

Researchers developed a low-computational-resource method for reliable microplastic identification by micro-FTIR spectroscopy that performs consistently across different instruments. The approach, funded under the EU PlasticTrace metrology project, addresses inter-equipment variability — a major barrier to harmonized microplastic monitoring — enabling more comparable results across laboratories.

Article Tier 2

Inter-equipment reliable identification of microplastics by micro-FTIR using low computational resources

AI summary Read the abstract

Researchers developed a low-computational-resource method for reliable microplastic identification by micro-FTIR spectroscopy that performs consistently across different instruments. The approach, funded under the EU PlasticTrace metrology project, addresses inter-equipment variability — a major barrier to harmonized microplastic monitoring — enabling more comparable results across laboratories.

Meta Analysis Tier 1

One tool to test it all: The harmonized analysis of microplastics by siMPle

AI summary Read the abstract

This meta-analysis introduces a harmonized software tool called siMPle for analyzing microplastics using spectroscopy, addressing the major problem of inconsistent methods across studies. Standardized analysis tools are essential because without them, scientists cannot reliably compare microplastic contamination levels across different locations, making it harder to assess the true scope of human exposure.

Article Tier 2

Comparison of two rapid automated analysis tools for large FTIR microplastic datasets

AI summary Read the abstract

Researchers compared two automated analysis tools for large FTIR microplastic datasets and found significant differences in polymer identification results, highlighting the urgent need for standardized data analysis methods in microplastic research.

Article Tier 2

Inter-instrument definition of valid criteria for the automatic identification of microplastics by micro-Raman spectroscopy

AI summary Read the abstract

Researchers developed a standardized methodology for automatically identifying microplastics using micro-Raman spectroscopy across different laboratory instruments. They determined optimal match algorithms and threshold values that achieved a 95% true positive rate with minimal false positives, even when spectra were collected on different spectrometers. The study addresses a key barrier to reliable, reproducible microplastic identification in environmental and health research.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper