Filtern
Erscheinungsjahr
Dokumenttyp
- Zeitschriftenartikel (85)
- Vortrag (67)
- Beitrag zu einem Sammelband (12)
- Beitrag zu einem Tagungsband (11)
- Posterpräsentation (4)
- Buchkapitel (1)
- Dissertation (1)
- Sonstiges (1)
Schlagworte
- Mikroplastik (32)
- Microplastics (22)
- Analytik (15)
- TED-GC-MS (14)
- Fire retardancy (12)
- Microplastic (12)
- Flame retardancy (9)
- Analysis (8)
- Pyrolysis (8)
- Flame retardance (7)
Organisationseinheit der BAM
- 6 Materialchemie (47)
- 6.6 Physik und chemische Analytik der Polymere (47)
- 1 Analytische Chemie; Referenzmaterialien (8)
- 5 Werkstofftechnik (6)
- 5.3 Polymere Verbundwerkstoffe (6)
- 1.4 Prozessanalytik (4)
- 1.7 Organische Spuren- und Lebensmittelanalytik (4)
- 4 Material und Umwelt (2)
- 4.3 Schadstofftransfer und Umwelttechnologien (2)
- 7 Bauwerkssicherheit (2)
Paper des Monats
- ja (2)
Eingeladener Vortrag
- nein (67)
In order to determine the relevance of microplastic particles in various environmental media, comprehensive investigations are needed. However, no analytical method exists for fast identification and quantification. At present, optical spectroscopy methods like IR and RAMAN imaging are used. Due to their time consuming procedures and uncertain extrapolation, reliable monitoring is difficult. For analyzing polymers Py-GC-MS is a standard method. However, due to a limited sample amount of about 0.5 mg it is not suited for analysis of complex sample mixtures like environmental samples. Therefore, we developed a new thermoanalytical method as a first step for identifying microplastics in environmental samples. A sample amount of about 20 mg, which assures the homogeneity of the sample, is subjected to complete thermal decomposition. The specific degradation products of the respective polymer are adsorbed on a solid-Phase adsorber and subsequently analyzed by thermal Desorption gas chromatography mass spectrometry. For certain identification, the specific degradation products for the respective polymer were selected first. Afterwards real environmental samples from the aquatic (three different rivers) and the terrestrial (bio gas plant) systems were screened for microplastics. Mainly polypropylene (PP), polyethylene (PE) and polystyrene (PS) were identified for the samples from the bio gas plant and PE and PS from the rivers. However, this was only the first step and quantification measurements will follow.
n order to determine the relevance of microplastic particles in various environmental media, comprehensive investigations are needed. However, no analytical method exists for fast identification and quantification. At present, optical spectroscopy methods like IR and RAMAN imaging are used. Due to their time consuming procedures and uncertain extrapolation, reliable monitoring is difficult. For analyzing polymers Py-GC-MS is a standard method. However, due to a limited sample amount of about 0.5 mg it is not suited for analysis of complex sample mixtures like environmental samples. Therefore, we developed a new thermoanalytical method as a first step for identifying microplastics in environmental samples. A sample amount of about 20 mg, which assures the homogeneity of the sample, is subjected to complete thermal decomposition. The specific degradation products of the respective polymer are adsorbed on a solid-phase adsorber and subsequently analyzed by thermal desorption gas chromatography mass spectrometry. For certain identification, the specific degradation products for the respective polymer were selected first. Afterwards real environmental samples from the aquatic (three different rivers) and the terrestrial (bio gas plant) systems were screened for microplastics. Mainly polypropylene (PP), polyethylene (PE) and polystyrene (PS) were identified for the samples from the bio gas plant and PE and PS from the rivers. However, this was only the first step and quantification measurements will follow.
Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples
(2020)
Hyperspectral imaging of environmental samples with infrared microscopes is one of the preferred methods to find and characterize microplastics. Particles can be quantified in terms of number, size and size distribution. Their shape can be studied and the substances can be identified. Interpretation of the collected spectra is a typical problem encountered during the analysis. The image datasets are large and contain spectra of countless particles of natural and synthetic origin. To supplement existing Analysis pipelines, exploratory multivariate data analysis was tested on two independent datasets. Dimensionality reduction with principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) was used as a core concept. It allowed for improved visual accessibility of the data and created a chemical two-dimensional image of the sample. Spectra belonging to particles could be separated from blank spectra, reducing the amount of data significantly. Selected spectra were further studied, also applying PCA and UMAP. Groups of similar spectra were identified by cluster analysis using k-means, density based, and interactive manual clustering. Most clusters could be assigned to chemical species based on reference spectra. While the results support findings obtained with a ‘targeted analysis’ based on automated library search, exploratory analysis points the attention towards the group of unidientified spectra that remained and are otherwise easily overlooked.
Microplastic particles are currently detected in almost all environmental compartments. The results of detection vary widely, as a multitude of very different methods are used with very different requirements for analytical validity.
In this work four thermoanalytical methods are compared and their advantages and limitations are discussed. One of them is thermal extraction-desorption gas chromatography mass spectrometry (TED-GC/MS), an analysis method for microplastic detection that has become established in recent years. In addition, thermogravimetric analysis coupled with Fourier-transform infrared spectroscopy (TGA-FTIR) and mass spectrometry (TGA-MS) were applied, two methods that are less common in this field but are still used in other research areas. Finally, microscale combustion calorimeter (MCC) was applied, a method not yet used for microplastic detection.
The presented results are taken from a recently published interlaboratory comparison test by Becker et al. (2020). Here a reference material consisting of suspended matter and specified added polymer masses was examined, and only the results of the recoveries were presented. In the present paper, however, the results for the individual polymers are discussed in detail and individual perspectives for all instruments are shown.
It was found that TED-GC/MS is the most suitable method for samples with unknown matrix and unknown, variable kinds and contents of microplastic. TGA-FTIR is a robust method for samples with known matrix and with defined kinds of microplastic. TGA-MS may offer a solution for the detection of PVC particles in the future. MCC can be used as a very fast and simple screening method for the identification of a potential microplastic load of standard polymers in unknown samples.
Die Präsenz von Mikroplastik in aquatischen Ökosystemen ist ein globales Problem und steht zunehmend im Fokus der Öffentlichkeit. In mehreren Studien konnten Anreicherungen hydrophober, organischer Schadstoffe an MP nachgewiesen werden. Der Einfluss des Alterungszustandes der MP-Partikel auf das Sorptionsverhalten von hydrophoben organischen Substanzen ist nicht hinreichend geklärt.
Ziel der vorliegenden Arbeit war die Untersuchung des Sorptionsverhaltens von Schadstoffen mit Bedeutung für limnische Gewässer an künstlich gealterten Partikeln relevanter Polymere. Das Modell verwendete die Aromaten Benzol, Toluol, Ethylbenzol und Xylol (BTEX) sowie Etherverbindungen. Diese Substanzen sind oder waren Bestandteile in unterschiedlichen Kraftstoffen und finden sich daher in vielen aquatischen Ökosystemen weltweit. Als Sorbentien kamen teilkristallines Polypropylen (PP) und amorphes Polystyrol (PS) in Form von Industriepellets zum Einsatz. Die Pellets wurden jeweils sowohl unbehandelt als auch mittels UV-Bestrahlung künstlich gealtert verwendet und mikroskopisch sowie mittels XPS, FTIR und DSC charakterisiert. Die Alterung führte bei PS zu einer verringerten Sorptionskapazität, während bei PP keine Veränderung im Sorptionsverhalten beobachtet wurde.