Microplastic Analysis
| Detection | Identification | Quantification |
We offer microplastic analyses precisely tailored to the requirements of your samples and projects. Using infrared microscopy (µFTIR- and QCL- imaging), we are able to accurately detect, identify, and quantify particles down to sizes of approximately 10 µm. The specific characteristics of each sample matrix are carefully considered to ensure reliable and analytically sound results.
Our analyses provide detailed information on polymer type, particle size, and particle counts, forming a solid basis for a wide range of decisions, particularly in view of upcoming regulatory requirements.
We maintain the highest standards in laboratory practice through rigorous quality assurance and control procedures (QA/QC) and the use of advanced analytical technologies. This ensures the reproducibility, reliability, and scientific robustness of the results supporting your projects.
What information will you receive?
Qualitative identity of microplastics
Our analyses identify the polymer type of each detected microplastic particle using infrared spectroscopy. This enables reliable differentiation between various plastics and provides detailed insights into the material composition of the sample.
Quantitative determination of microplastics
Our analyses enable the precise quantification of microplastic particles within a sample. This includes determining the number of particles and their distribution across different polymer types and size classes.
Statistical particle size distribution of plastic particles
Our analyses provide a detailed statistical evaluation of the particle size distribution within the sample. This allows the identification of dominant size fractions and supports a better understanding of the origin and behavior of microplastic particles.
ISO 16094-2 2025
| Recovery | Quality Control | QC | Hit Quality Index |
In our laboratory, microplastic analyses are performed in accordance with the requirements of ISO 16094-2:2025, which currently represents the key methodological framework for the spectroscopic analysis of microplastic particles. Although we are not yet formally accredited under this standard, our analytical workflows already comply with all criteria described in the guideline.
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Method validation—including the determination of recovery rates, verification of polymer identification and background contamination —is carried out using our own precisely characterized reference materials.
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In addition, we implement further quality assurance measures that go beyond the ISO requirements. This includes the use of deuterated polymers (dPE and dPS) as internal standards for continuous QA/QC monitoring. These enable an automated and highly robust verification of recovery rates, further increasing the reliability and reproducibility of our analytical results.
Contamination Control
| Recovery | Quality Control | QC |
Contamination during microplastic analysis represents a significant challenge and can affect the accuracy of the results. Even small traces of plastic originating from laboratory equipment, the surrounding environment, or the sample preparation process may bias the analytical outcome. Therefore, careful handling and the use of contamination-minimized materials and equipment are essential throughout the entire analytical workflow.
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A particular focus is placed on monitoring potential background contamination, which plays a central role in microplastic analysis and is also addressed in ISO 16094-2. The determination of the limit of detection (LOD) and limit of quantification (LOQ) follows the procedures outlined in the guideline. In addition, matrix-specific blank measurements are performed to detect and assess possible contamination during sample preparation and analysis. The results of these controls are transparently documented and provided to our clients together with the analytical data, ensuring a comprehensive and traceable evaluation of the results.
Sample types
Each sample requires an individualized approach to microplastic analysis. Adapting the methodology to different sample types—such as cosmetics, cleaning products, fertilizers, beverages, food products, and environmental samples—is essential.
By developing and validating tailored workflows for each sample type, we ensure that the analytical method meets the specific characteristics and requirements of the respective matrix. This approach enables accurate and reliable analyses regardless of the sample type.
How To?
Step 1: Get into contact
In the first step, we discuss your requirements together. We clarify the type of sample, the sampling procedure, and which analyses are most suitable for your specific research question. No microplastic analysis is the same—depending on the matrix, different sample preparation steps may be required. We take the specific characteristics of your matrix into account to develop the most appropriate analytical approach. Based on this, we present the available methods and design an individual concept tailored to your needs.
Step 2: Packaging and Shipping
In the second step, you send your sample to us. We provide detailed guidance in advance on optimal packaging and shipping to ensure sample integrity. Once the sample arrives, it is prepared for analysis with the utmost care to minimize contamination and ensure the quality and reliability of the results.
Step 3: Analysis
In the third step, your sample is analyzed, including quality control measurements. The matrix is first processed so that the microplastic particles can be transferred onto a filter. The particles are then detected and identified using high-resolution FTIR imaging. This precise and carefully controlled process ensures reliable results and the highest analytical standards.
Step 4: Reporting
In the fourth step, we prepare a detailed analytical report that clearly summarizes all results in a precise and well-structured manner. The report includes information on polymer types, particle sizes, particle counts, and other relevant parameters. We then discuss the results with you, address any questions, and support you in interpreting the data so you can make the best possible use of the findings for your purposes.