Regression analysis for the determination of microplastics in sediments using differential scanning calorimetry.

This research addresses the growing need for fast and cost-efficient methods for microplastic (MP) analysis. We present a thermo-analytical method that enables the identification and quantification of different polymer types in sediment and sand composite samples based on their phase transition behavior. Differential scanning calorimetry (DSC) was performed, and the results were evaluated by using different regression models. The melting and crystallization enthalpies or the change in heat capacity at the glass transition point were measured as regression analysis data. Ten milligrams of sea sand was spiked with 0.05 to 1.5 mg of microplastic particles (size: 100 to 200 µm) of the semi-crystalline polymers LD-PE, HD-PE, PP, PA6, and PET, and the amorphous polymers PS and PVC. The results showed that a two-factorial regression enabled the unambiguous identification and robust quantification of different polymer types. The limits of quantification were 0.13 to 0.33 mg and 0.40 to 1.84 mg per measurement for semi-crystalline and amorphous polymers, respectively. Moreover, DSC is robust with regard to natural organic matrices and allows the fast and non-destructive analysis of microplastic within the analytical limits. Hence, DSC could expand the range of analytical methods for microplastics and compete with perturbation-prone chemical analyses such as thermal extraction-desorption gas chromatography-mass spectrometry or spectroscopic methods. Further work should focus on potential changes in phase transition behavior in more complex matrices and the application of DSC for MP analysis in environmental samples.

Microplastic analysis in sediments of the Elbe River by electrostatic separation and differential scanning calorimetry.

This study presents the most extensive investigation of microplastic (MP) contents in sediment from the Elbe River. We employed electrostatic separation (ES) and differential scanning calorimetry (DSC) to overcome limitations of sample throughput and time-consuming analysis. In total 43 sediment samples were collected using a Van-Veen grab. Subsequently, coarse materials (d10 > 100 µm) and fine materials (d10 ≤ 100 µm) were enriched using ES and density separation. DSC was utilized for MP identification and quantification, based on the phase-transition signals of eight different polymers. MP presence was detected in 25 samples, with successful quantification in 12 samples. The MP content in coarse material samples from shoreline areas ranged from 0.52 to 1.30 mg/kg, while in fine material samples from harbor basins, it ranged from 5.0 to 44.6 mg/kg. The most prevalent polymers identified were LD-PE, HD-PE, PP, and PCL. These findings confirmed the suitability of DSC for analyzing MP in complex environmental samples. MP hotspots were identified in harbor basins, where natural sedimentation processes and increased anthropogenic activities contribute to MP accumulation. Additionally, industrial sewage potentially contributed to MP content in sediment samples. The highest pollution levels were observed in the middle Elbe, between the confluences of Mulde and Havel. Lowest MP contents were found in the lower Elbe, potentially influenced by tides. Future studies should focus on holistic investigations of selected river sections, encompassing sediment, water, and biota samples, rather than the entire catchment area. This approach would facilitate the generation of spatiotemporal data on MP distribution in freshwater streams. In addition, more research is needed to explore potential interactions between different MP and sediment types during DSC measurements.

[Preparedness on Assaults with Highly Toxic Substances in Public Space]. / Vorbereitung auf Anschläge mit hochtoxischen Substanzen im öffentlichen Raum.

The use of chemical substances in terrorist scenarios is to be feared everywhere, especially in the western world, after the events that have become known in recent years. In order to protect civilian populations in an emergency, it is essential that the poisoning pattern (toxidrome) is recognized as quickly and reliably as possible through further training of the relevant agents and the provision of necessary rescue equipment (antidotes) in prepared facilities. In the event of a chemical attack with terrorist motivation, doctors from the Public Health Service (PHS) will foreseeably play a key role in communicating with decision-makers and the public a spart of a competency network.

Impact of ambient air pollution on the differential white blood cell count in patients with chronic pulmonary disease.

Epidemiologic studies report associations between particulate air pollution and increased mortality from pulmonary diseases. This study was performed to examine whether the exposure to ambient gaseous and particulate air pollution leads to an alteration of the differential white blood cell count in patients with chronic pulmonary diseases like chronic bronchitis, chronic obstructive pulmonary disease, and asthma. A prospective panel study was conducted in Erfurt, Eastern Germany, with 12 repeated differential white blood cell counts in 38 males with chronic pulmonary diseases. Hourly particulate and gaseous air pollutants and meteorological data were acquired. Mixed models with a random intercept adjusting for trend, meteorology, weekday, and other risk variables were used. In this explorative analysis, we found an immediate decrease of polymorphonuclear leukocytes in response to an increase of most gaseous and particulate pollutants. Lymphocytes increased within 24 h in association with all gaseous pollutants but showed only minor effects in regard to particulate air pollution. Monocytes showed an increase associated with ultrafine particles, and nitrogen monoxide. The effect had two peaks in time, one 0-23 h before blood withdrawal and a second one with a time lag of 48-71 h. The increase of particulate and gaseous air pollution was associated with multiple changes in the differential white blood cell count in patients with chronic pulmonary diseases.