ArticleAnalytical and bioanalytical chemistry2022
A high-throughput, automated technique for microplastics detection, quantification, and characterization in surface waters using laser direct infrared spectroscopy.
Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- Health impacts of micro- and nanoplastics in humans: systematic review of in vivo evidence.Environmental health : a global access science source · 2026Pooled it
- Development of a sequential digestion workflow for dual-platform microplastic analysis in pasteurized donor human milk using µ-FTIR and Py-GC/MS.Analytical and bioanalytical chemistry · 2026Article
- Portable microwave sensor system for real-time detection of microplastics in seawater.Microsystems & nanoengineering · 2026Article
- Microplastic Identification Methods for Microfluidic Applications: Towards Rapid Detection in Aquatic Environments.Polymers · 2026Review
- Postbiotic sequestration of micro- and nanoplastics:Frontiers in microbiology · 2026Article
- Adapting Methods for Isolation and Enumeration of Microplastics to Quantify Tire Road Wear Particles with Confirmation by Pyrolysis GC-MS.Environmental science & technology · 2025Article
- Article
- Detection of Microplastics in Human Breast Milk and Its Association with Changes in Human Milk Bacterial Microbiota.Journal of clinical medicine · 2024Article
- Multimodal detection and analysis of microplastics in human thrombi from multiple anatomically distinct sites.EBioMedicine · 2024Article
- The "Microplastome" - A Holistic Perspective to Capture the Real-World Ecology of Microplastics.Environmental science & technology · 2024Review
- Review
- Common coastal best management practice materials are a microplastic source.Journal of environmental qualityArticle
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
A high-throughput approach to detecting, quantifying, and characterizing microplastics (MPs) by shape, size, and polymer type using laser direct infrared (LDIR) spectroscopy in surface water samples is demonstrated. Three urban creeks were sampled for their MP content near Cincinnati, OH. A simple Fenton reaction was used to oxidize the surface water samples, and the water samples were filtered onto a gold-coated polyester membrane. Infrared (IR) analysis for polymer identification was conducted, with recoveries of 88.3% ± 1.2%. This method was able to quantify MPs down to a diameter of 20 µm, a size comparable to that of MPs quantified by other techniques such as Fourier transform infrared spectroscopy (FTIR) and Raman spectroscopy. A shape-classifying algorithm was designed using the aspect ratio values of particles to categorize MPs as fibers, fibrous fragments, fragments, spherical fragments, or spheres. Cut-off values were identified from measurements of known sphere, fragment, and fibrous particles. About half of all environmental samples were classified as fragments while the other shapes accounted for the other half. A cut-off hit quality index (HQI) value of 0.7 was used to classify known and unidentified particles based on spectral matches to a reference library. Center for Marine Debris Research Polymer Kit 1.0 standards were analyzed by LDIR and compared to the given FTIR spectra by HQI, showing that LDIR obtains similar identifications as FTIR analysis. The simplicity and automation of the LDIR allows for quick, reproducible particle analysis, making LDIR attractive for high-throughput analysis of MPs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.