Understanding microplastic detection and characterization

Interest in microplastics first emerged from studies of pollution in the sea, but the range of materials and environments now examined has expanded dramatically. These particles are now studied in potable water, food, air, soils, and biological specimens, reflecting increasing concern about environmental exposure, human health, and compliance monitoring.

This wider scope has made it more important to use methods that can detect, count, and characterize particles reliably in very different sample types.

Different labs require different approaches

This article explains how laboratories can choose suitable spectroscopic techniques, filter materials, and data-processing workflows for particle-focused microplastic analysis. It highlights practical compromises, relevance to regulation, and the limitations associated with different analytical strategies.

1. What microplastics analysis measures

Microplastics are solid particles made from synthetic polymers that measure less than 5 mm. They range from fragments large enough to be seen without magnification to particles of roughly 5–10 μm, which can only be observed using microscopy.

Across this size range, particle dimensions, form, and polymer composition each provide distinct scientific information. An analysis should therefore establish not only whether microplastics are present in a sample, but also how many are present, how large they are, what shape they have, and what material they are made of.

Microplastics have been reported in surface seawater, deep-sea sediments, Arctic ice, farmland soils, indoor air, and the human food supply. Studies commonly identify contamination in bottled and municipal tap water, although reported frequencies differ substantially depending on the analytical approach, minimum particle size considered, and criteria used for identification.

Several widely cited surveys found microplastics in as many as 87% of tap-water samples examined globally and in up to 93% of bottled-water brands tested. Particles have also been reported in human lung tissue, blood, and placenta. Detection frequencies nevertheless need to be assessed in relation to the methods and detection thresholds used in individual investigations.

Overall, the widespread occurrence of microplastics in the environment is well established. Their distribution is extensive.

Microplastic studies distinguish between primary and secondary microplastics. Primary microplastics are manufactured deliberately, for example as blasting abrasives, plastic pellets, or microbeads used in cosmetic products. They account for a relatively small proportion of the total environmental load.

Secondary microplastics arise when larger plastic items degrade through physical, chemical, and biological processes. These particles constitute most of the microplastic material found in environmental samples.

Tire and road wear particles (TRWP) are widely recognized as an important source of microplastics released into the environment.

Tire abrasion is a major contributor to microplastic emissions; in Germany, it has been estimated at roughly 60,000–100,000 tons per year, while peer-reviewed modeling studies have reported comparable estimates of 75,200–98,400 tons per year for coarse, non-airborne tire-wear particles.

Other important secondary sources include waste-management emissions, plastic packaging, agricultural plastics, paints, textile laundering, pellet spills, and wear of polymers bound in asphalt.

Nanoplastics, commonly defined as particles below one micrometer, are an emerging concern in toxicology and health-related research. Their small dimensions may allow them to pass through biological barriers, including cell membranes and, potentially, the blood-brain barrier. Because nanoplastic samples are difficult to analyze, they often demand more labor-intensive approaches than standard microplastic studies.

The central analytical difficulty remains consistent across particle sizes: environmental samples contain complex mixtures. Synthetic polymer particles occur together with naturally derived material, such as mineral grains, cellulose fibers, and biological debris.

Visual examination cannot reliably distinguish a polyethylene particle from a cellulose fiber. Chemical identification of individual particles is therefore essential and underpins any scientifically meaningful result.

What are microplastics?

Source: Bruker Optics

Contaminant classification Physical size boundaries Primary environmental genesis Predominant analytical challenges Key representative examples
Primary microplastics 5 µm to 5 mm Intentionally manufactured for specific industrial functions or consumer product formulations Locally concentrated near industrial sites; requires differentiation from secondary background fragments Cosmetic microbeads, raw manufacturing resin pellets (nurdles), abrasive blast media.
Secondary microplastics 5 µm to 5 mm Progressive physical, chemical, and biological degradation of larger macro-plastic waste Extreme structural heterogeneity; often heavily weathered, bio-fouled, or embedded in matrix residues Tire and road wear particles (TRWP), synthetic textile wash fibers, fragmented agricultural films
Nanoplastics Sub-micron (<1 µm/<1000 nm) Advanced fragmentation and continuous degradation of microplastic particles Sits below the optical diffraction limit of standard mid-infrared microspectroscopy Sub-micron polymer colloids, weathered synthetic dusts capable of cellular translocation
Natural/inorganic background matrix Highly variable (<0.1 µm to
>5 mm)
Naturally occurring biotic and abiotic environmental components Inflicts heavy spectral interference; can completely mimic plastic particles under visual inspection Cellulose (cotton/wood fibers), chitin, mineral shards (silica/quartz), biofilms

2. Mass-based versus particle-based methods

Microplastic analysis can address several different questions, including particle abundance and size distribution, polymer mass concentration, and chemical composition. No single approach can provide all of this information simultaneously.

The two principal strategies used in microplastic research rest on different principles and yield fundamentally different types of data.

Mass versus particle metrics

Source: Bruker Optics

Metric category Primary technique Data output Core advantages Critical limitations
Mass-Driven Pyrolysis GC/MS (Pyro-GC/MS); TED-GC/MS Total polymer mass concentration profile (mg/kg or µg/L) Quantifies total polymer burden; high matrix tolerance Destructive; entirely blind to particle count, size distribution, and morphology. Pre-separation via sifting introduces uncertainty in particle loss.
Particle-Driven FTIR microscopy, quantum cascade laser (QCL) IR, Raman microscopy Spatially resolved particle counts, discrete sizing, morphology metrics, and chemical typing Matches toxicological exposure models; non-destructive nature permits archival storage and retrospective audit Requires rigorous sample preparation to mitigate spectral interference from co-extracted matrices

Mass-based analysis

Pyrolysis GC/MS (Pyro-GC/MS) is inherently destructive. During analysis, the sample is thermally decomposed, the resulting fragments are separated by gas chromatography, and polymers are identified and quantified through mass spectrometry. The result is a quantitative profile showing which polymers are present in the sample and their mass concentrations.

Pyro-GC/MS is therefore well-suited to questions concerning total polymer burden. Its principal drawback is that it does not retain information on particle size; in practical terms, one large plastic fragment can produce the same result as a collection of smaller particles whose combined mass is equivalent.

Once pyrolysis has occurred, no intact particles remain. Information on size distribution, morphology, whether particles are fibers or fragments, and particle counts is lost. The analyzed sample also cannot be stored for later review or reanalysis.

For this reason, mass-based techniques cannot supply particle-level measures for regulatory or biological applications, although they remain valuable for providing complementary information on polymer mass.

One way to introduce limited size information into mass-based analyses is to separate particles into size classes before chemical measurement. This is commonly achieved through sieving, filtration cascades, or sequential separation procedures, frequently combined with density separation. Samples can then be divided into defined size categories before analysis by Pyro-GC/MS or related approaches, such as TED-GC/MS.

Commonly reported categories include coarse material greater than 500 or 300 micrometers, intermediate material between 100 and 500 micrometers, and fine material below 100 micrometers. Exact boundaries depend on the sample matrix, required sensitivity, and aims of the study.

Although this approach does not retain the identity of individual particles, it enables polymer mass to be linked to size ranges that are more directly relevant to exposure modeling, particle transport, and risk assessment.

Size fractionation nevertheless introduces additional uncertainty. Particles may be lost during sieving or filtration through adhesion to apparatus, blockage, or incomplete transfer between processing stages. Fine particles and fibers are particularly susceptible to these losses.

Physical handling can also fragment or deform particles, altering the apparent size distribution. For these reasons, size-fractionated mass-based approaches are not commonly used in microplastic research, largely because the field prioritizes identification at the particle level.

In practice, particle-based and mass-based methods are frequently applied together, depending on the study objectives and regulatory requirements.

The attached article focuses on particle-based microplastic analysis and examines the metrics used in regulatory and standardization settings, together with the data generated by particle-focused evaluation techniques.

About Bruker Optics

Bruker Optics, part of the Bruker Corporation is one of the world’s leading manufacturer and worldwide supplier of Fourier Transform Infrared, Near Infrared and Raman spectrometers.

Bruker entered the field of FTIR spectroscopy in 1974. The early instruments set new standards in research FTIR with evacuable optics, high resolution and automatic range change. Since then, the product line has been continuously expanding with instruments suitable for both analytical and research applications with exceptional performance characteristics.

Today, Bruker Optics offers complete technical solutions for various markets which cover a broad range of applications in all fields of research and development as well as industrial production processes for the purpose of ensuring quality and process reliability.

Bruker Optics’ R&D and manufacturing center is located in Ettlingen, Germany, technical support centers and sales offices are located throughout Europe, North and South America, Asia, India, Middle East and Africa.


Sponsored Content Policy: News-Medical.net publishes articles and related content that may be derived from sources where we have existing commercial relationships, provided such content adds value to the core editorial ethos of News-Medical.net, which is to educate and inform site visitors interested in medical research, science, medical devices and treatments.

Last updated: Nov 3, 2026 at 11:54 AM

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Bruker Optics. (2026, November 03). Understanding microplastic detection and characterization. News-Medical. Retrieved on November 03, 2026 from https://www.news-medical.net/whitepaper/20261103/Understanding-microplastic-detection-and-characterization.aspx.

  • MLA

    Bruker Optics. "Understanding microplastic detection and characterization". News-Medical. 03 November 2026. <https://www.news-medical.net/whitepaper/20261103/Understanding-microplastic-detection-and-characterization.aspx>.

  • Chicago

    Bruker Optics. "Understanding microplastic detection and characterization". News-Medical. https://www.news-medical.net/whitepaper/20261103/Understanding-microplastic-detection-and-characterization.aspx. (accessed November 03, 2026).

  • Harvard

    Bruker Optics. 2026. Understanding microplastic detection and characterization. News-Medical, viewed 03 November 2026, https://www.news-medical.net/whitepaper/20261103/Understanding-microplastic-detection-and-characterization.aspx.

Other White Papers by this Supplier

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.