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Detektion, Quantifizierung und Entfernung von insbesondere ultrakurzkettigen PFAS in Grundwasser
(2024)
Da PFAS in großem Umfang in einer Vielzahl von Produkten verwendet wurde, sind sie im Grundwasser in der Nähe vieler industrieller und militärischer Anlagen weltweit zu finden. Darüber hinaus führten neue Vorschriften und Beschränkungen für die Verwendung von langkettigen PFAS zu einer vermehrten Produktion kurzkettiger Alternativen. Ultrakurzkettige PFAS (≥C3) können natürliche und anthropogene Barrieren durchdringen und schließlich in Trinkwasserquellen gelangen. Zudem entfernen die meisten gängigen Trinkwasser-aufbereitungsverfahren die ultrakurzkettigen PFAS nicht ausreichend. Im Kooperationsprojekt DEFEAT-PFAS wird daher das Ziel verfolgt, Wissenslücken über Nachweis, Quantifizierung und Entfernung von kurz- (C4-C7) und ultrakurzkettige (C1-C3) PFAS, in kontaminiertem Grundwasser zu schließen. Die israelischen und deutschen Projektpartner entwickeln dafür analytische Methoden and selektive Passivsammler, um das zeitliche Profil von PFAS-Spezies im Grundwasser zu erfassen und überwachen. Darüber hinaus ein zweistufiges Verfahren entwickelt, welches darauf ausgelegt ist, die relativ niedrigen PFAS-Konzentrationen im Grundwasser durch neuartige Membranverfahren, Umkehrosmose im Batchbetrieb mit geschlossenem Kreislauf sowie Verbund-Nanofiltrationsmembranen, zu konzentrieren. Anschließend werden die PFAS angereicherten Konzentrate mittels Koagulation behandelt und das verbleibende PFAS an kohlenstoffhaltigen Nanomaterialien adsorbiert.
Ensuring the purity of air and water is essential for the overall well-being of life on earth and the sustainability of the planet's diverse ecosystems. To achieve the goal of zero pollution, as outlined in the 2020 European Green Deal by the European Commission,[1] significant efforts are in progress. A key aspect of this commitment involves advancing more efficient and economically viable methods for treating wastewater. This includes the systematic monitoring of harmful pollutants such as heavy metals, microplastics, pesticides, and pharmaceuticals.
One example is the presence of the anti-inflammatory drug diclofenac in water systems, primarily originating from its use as a gel or lotion for joint pain treatment. Diclofenac contamination in surface waters has been detected at approximately 10 μg L-1 (0.03 μM)[2] which is not solely due to widespread usage but also because of the drug's resistance to microbial degradation. Conventional wastewater treatment plants (WWTPs), which rely on biodegradation, sludge sorption, ozone oxidation, and powdered activated carbon treatment, struggle to efficiently remove diclofenac from wastewater.[3],[4] For instance, to enable WWTPs to efficiently monitor and optimize their processes, it would be advantageous to develop on-site detection and extraction methods for persistent pharmaceutical residues in aqueous samples.
In this work, a sol-gel process was used to prepare Nile blue-doped silica nanoparticles (dSiO2-NPs) with a diameter of ca. 30 nm that were further functionalized to enable reversible-addition-fragmentation chain-transfer (RAFT) polymerization. To achieve fluorescence detection, a fluorescent monomer was used as a probe for diclofenac in ethyl acetate, generating stable complexes through hydrogen bond formation. The diclofenac/fluorescent monomer complexes were imprinted into thin molecularly imprinted polymer (MIP) shells on the surface of the dSiO2-NPs. Thus, the MIP binding behaviour could be easily evaluated by fluorescence titrations to monitor the spectral changes upon addition of the analyte. Doping the core substrate with Nile blue generates effective dual fluorescent signal transduction. This approach does not solely depend on a single fluorescence emission band in response to analyte recognition. Instead, it enables the fluorescent core to function as an internal reference, minimizing analyte-independent factors such as background fluorescence, instrumental fluctuation, and operational parameters.[5] Rebinding studies showed that the MIP particles have excellent selectivity towards the imprinted template and good discrimination against the competitor ibuprofen, with a discrimination factor of 2.5. Additionally, the limit of detection was determined to be 0.6 μM. Thus, with further optimization of the MIP, there is potential for the development of a MIP-based biphasic extract-&-detect fluorescence assay for simple, sensitive and specific sensing of diclofenac in aqueous samples down to the required concentrations of 0.03 μM.
To reduce carbon dioxide emissions, energy carries such as hydrogen consider to be a solution. Consumption of hydrogen as a fuel meets several restrictions such as its low volumetric energy density in gas phase. To tackle this problem, storage as well as transportation in liquid phase is recommended. To be able to handle this component in liquid phase, an efficient thermal insulation e.g., MLI insulation is required. Some studies have been revealed vulnerability of this type of insulation against high heat flux, for instance a fire accident. Some investigations have been depicted the importance of consideration of the MLI thermal degradation in terms of its reflective layer. However, limited number of studies have been focused on the thermal degradation of spacer material and its effect on the overall heat flux.
In this study, through systematic experimental measurements, the effect of thermal loads on glass fleece, glass paper as well as polyester spacers are investigated. The results are reported in various temperature and heat flux profiles. Interpreting the temperature profiles revealed as the number of spacers in the medium increases, the peak temperature detectable by the temperature sensor on the measurement plate decreases. Moreover, the contribution of each individual spacer in all cases regarding the experimental temperature range is assessed to be around 8%. This value may increase to around 50% for glass paper and polyester spacers, and to around 25% for glass fleece spacers as the number of spacer layers increases up to six layers.
To utilize the outcomes of the experiment later and integrate the results into numerical and CFD simulations, a model is proposed for the mentioned experimental temperature range up to 300°C to predict a heat flux attenuation factor. The model proposes a fitting factor that can reproduce the least square fitted line to the experimental data.