TY - JOUR A1 - Zhuang, Y. A1 - Spahr, S. A1 - Lutze, H.V. A1 - Reith, C.J. A1 - Hagemann, N. A1 - Paul, Andrea A1 - Haderlein, S.B. T1 - Persulfate activation by biochar and iron: Effect of chloride on formation of reactive species and transformation of N,N-diethyl-m-toluamide (DEET) N2 - Fenton-like processes using persulfate for oxidative water treatment and contaminant removal can be enhanced by the addition of redox-active biochar, which accelerates the reduction of Fe(III) to Fe(II) and increases the yield of reactive species that react with organic contaminants. However, available data on the formation of non-radical or radical species in the biochar/Fe(III)/persulfate system are inconsistent, which limits the evaluation of treatment efficiency and applicability in different water matrices. Based on competition kinetics calculations, we employed different scavengers and probe compounds to systematically evaluate the effect of chloride in presence of organic matter on the formation of major reactive species in the biochar/Fe(III)/persulfate system for the transformation of the model compound N,N‑diethyl-m-toluamide (DEET) at pH 2.5. We show that the transformation of methyl phenyl sulfoxide (PMSO) to methyl phenyl sulfone (PMSO2) cannot serve as a reliable indicator for Fe(IV), as previously suggested, because sulfate radicals also induce PMSO2 formation. Although the formation of Fe(IV) cannot be completely excluded, sulfate radicals were identified as the major reactive species in the biochar/Fe(III)/persulfate system in pure water. In the presence of dissolved organic matter, low chloride concentrations (0.1 mM) shifted the major reactive species likely to hydroxyl radicals. Higher chloride concentrations (1 mM), as present in a mining-impacted acidic surface water, resulted in the formation of another reactive species, possibly Cl2•−, and efficient DEET degradation. To tailor the application of this oxidation process, the water matrix must be considered as a decisive factor for reactive species formation and contaminant removal. KW - Water treatment KW - Organic contaminants KW - Fenton-like systems KW - Radicals KW - ESR PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-608677 DO - https://doi.org/10.1016/j.watres.2024.122267 SN - 0043-1354 VL - 265 SP - 1 EP - 8 PB - Elsevier Ltd. AN - OPUS4-60867 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Raman spectroscopy for online monitoring of a homogeneous hydroformylation process in microemulsion N2 - An important industrial reaction is hydro¬formylation for the production of aldehydes from alkenes and syngas on the basis of homogeneous catalysis. The main cost factors of the processes currently used are product selectivity and the loss of the catalysts used. Therefore, various concepts for the hydroformylation of long-chain olefins have been developed, including hydroformylation in microemulsions, which is being investigated on a mini-plant scale at the Technical University of Berlin [1]. In this study, online Raman spectroscopy of the reaction of 1-dodecene to 1-tri¬decanal in a microemulsion was performed [2]. First, an experimental design was used to obtain a good representation of the operating range in the mini plant with respect to the concentrations of five reactants in a laboratory setup [3]. Based on the Raman spectra, Partial Least Squares (PLS) models for the prediction of 1-dodecene and 1-tride-decanal were calibrated and with these the reactions were predicted on a laboratory scale. In the next step, the PLS models were applied to online spectra from a mini-plant. This resulted in promising estimates of 1-tridecanal and acceptable predictions of 1-dodecene mass fractions. The predictive power of PLS models in this particular case was limited by unexpected by-product formation which, however, can easily be compensated by an extended calibration. Hence, Raman spectroscopy is a promising technique for process analysis in microemulsions. T2 - EuroPACT2021 CY - Online meeting DA - 15.11.2021 KW - Raman KW - Process analytics KW - Inline measurement PY - 2021 AN - OPUS4-53767 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Classification of mineral wool by spectroscopic methods N2 - Mineral wools from demolition projects are currently disposed of in landfills. To reintroduce them into the material cycle, it is essential (i) to distinguish between glass wool (GW) and rock wool (RW), (ii) to detect foreign substances, and (iii) to assess the period of production (before/after 2000) to identify “old”, potentially carcinogenic wool. Both X-ray and NIR spectroscopic methods are being developed for this purpose and handheld (portable) devices are being tested for field application. To this end, more than 160 mineral wool samples were collected and examined. Since no reference information on the “material” or “age” was available for many samples, we characterized the elemental composition of the mineral wool using wavelength dispersive X-ray fluorescence spectroscopy (WDXRF). For this purpose, pellets and melt tablets were evaluated using a spectrometer-integrated semi-quantitative approach (Omnian). The resulting mass fractions of SiO2, Al2O3, CaO, MgO, K2O, Na2O, Fe2O3, and TiO2 could be used to distinguish between GW and RW and, in the case of RW, also whether it was “old” or “new” wool according to VDI guideline 3492. In some cases, however, ambiguous results were obtained in the material classification. Therefore, a principal component analysis (PCA) was performed enabling the identification of possible outliers and subgroups. Since the classification of “old” and “new” rock wool based on VDI 3492 yielded many unclear results, with the help of partial least squares discriminant analysis (PLS-DA), the classification was significantly improved [1]. WDXRF spectroscopy delivers accurate results, however, the spectrometers are not mobile and require time demanding sample preparation (pellets, melt tablets). Therefore, it was examined whether useful results could be achieved with portable energy dispersive (EDXRF) spectrometers. For this purpose, a portable EDXRF spectrometer (pXRF) was calibrated based on the WDXRF results. In general, oxides of the lighter elements (MgO and Na2O) could not be analyzed with EDXRF. Although prediction of oxide contents in melt tablets was successful by this approach, no reliable results could be obtained when predicting the oxide content of natural mineral wools. Attempts to perform calibration based on natural wools also failed. However, PCA of EDXRF spectra in the “Light” range was able to distinguish between GW and RW, even with “real-world” samples from so-called Bigbags [2], in which mineral wool in Germany is collected in recycling centers. In addition to XRF, a previous study has already demonstrated that at least the distinction between GW and RW can be performed using near-infrared spectroscopy (NIR) [3]. For this reason, measurements were also carried out with a handheld NIR device (pNIR) in parallel with the pXRF investigations. Using PLS-DA, it was possible to classify RW and GW using the handheld device with a sensitivity and specificity of 95% for 38 test samples, including wool from big bags. pNIR also remains sensitive when it comes to determining non-metallic “foreign materials.” For example, materials such as brick, plaster, concrete, and organic fibers could be detected by SIMCA as “non-mineral” wool with a specificity of 92% for 19 tested interferents [2]. Questions regarding the detection of metallic impurities based on EDXRF measurements are the subject of ongoing investigations. T2 - Doctoral Seminar of the Working Group Chemometrics & Quality Assurance CY - Hamburg, Germany DA - 10.09.2025 KW - Mineral wool KW - X-ray fluorescence KW - Data analyis PY - 2025 AN - OPUS4-64077 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Zhuang, Yiling A1 - Haderlein, Stefan B. A1 - Lutze, Holger V. A1 - Sun, Chen A1 - Fink, Friedrich A1 - Paul, Andrea A1 - Spahr, Stephanie T1 - Persulfate activation by biochar for trace organic contaminant removal from urban stormwater N2 - Persistent and mobile trace organic contaminants (TrOCs) in urban stormwater are difficult to remove through sedimentation- or sorption-based treatment and pose a risk to aquatic ecosystems and drinking water supplies. We demonstrate that the chemical oxidant peroxydisulfate (PDS) can be activated by shrimp shell biochar at pH 7 to form reactive species that selectively react with widespread stormwater contaminants. Of 11 TrOCs tested, oxidative transformation was observed for 1,3-diphenylguanidine, 2-hydroxybenzothiazole, 1H-benzotriazole, 5-methyl-benzotriazole, and diuron during water treatment with biochar and PDS. Laboratory batch experiments conducted with street runoff and a synthetic water showed that the water matrix, containing up to 7.5 mg L-1 dissolved organic carbon and 100 mM chloride, had a minor effect on the formation of reactive species and contaminant transformation. Using a set of scavengers and probe compounds, we provide evidence for singlet oxygen (1O2) as the predominant reactive species in the biochar/PDS system, which is in agreement with the selectivity of the process to oxidize electron-rich organic contaminants. The results of our study inform new strategies for stormwater treatment using heterogeneous oxidation processes for the abatement of persistent and mobile organic contaminants. KW - Stormwater treatment KW - Oxidation processes KW - Pyrogenic carbon PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-637952 DO - https://doi.org/10.1016/j.watres.2025.123921 SN - 0043-1354 VL - 284 SP - 1 EP - 8 PB - Elsevier Ltd. AN - OPUS4-63795 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Schnelle Identifizierung von Mineralwolle mittels Nah-Infrarot-Spektroskopie N2 - Künstliche Mineralfasern (KMF) werden weltweit in vielfältiger Weise als Dämmstoffe verwendet. Jährlich fallen in Deutschland ungefähr 20 Millionen Tonnen KMF an, die nach dem Abriss auf Deponien entsorgt werden müssen. Grundsätzlich besteht jedoch die Möglichkeit der Rückführung dieser Materialien in den Produktionsprozess. Dafür ist es notwendig, anfallende KMF sowohl nach Material (Glaswolle, Steinwolle) als auch nach Alter zu sortieren. Auf der Suche nach einer Methode, die es grundsätzlich gestattet eine schnelle Untersuchung vor Ort auf einer Baustelle durchzuführen, wurde die Nah-Infrarot (NIR) Spektroskopie unter Verwendung eines Prozessspektrometers mit Reflexionssonde getestet. Anhand von Laboruntersuchungen an 70 KMF Proben, die entweder betriebsneu waren oder bundesweit auf Baustellen gesammelt wurden, konnte eine NIR-basierte Methode zur Unterscheidung in Glas- und Steinwolle entwickelt werden. Mittels Partial Least Square Diskriminanzanalyse (PLS-DA) der NIR Spektren wurde basierend auf 40 zufällig ausgewählten Proben ein chemometrisches Modell kalibriert, das erfolgreich zur Klassifizierung der verbleibenden 30 Proben eingesetzt werden konnte. Unabhängig von Farbe, Dichte oder Alter der untersuchten KMF Proben war es möglich, eine 100% korrekte Zuordnung des Materials zu erzielen. Die nötigen Referenzwerte wurden unter Nutzung eines Röntgenfluoreszenzspektroskopischen Verfahrens über den Elementgehalt nach VDI 3492 ermittelt. Insgesamt ist der experimentelle Aufwand für die Durchführung und Auswertung der NIR Messungen gering und manifestiert sich vor allem in der Kalibrierphase, die in diesem Fall die Untersuchung von 8-fach aliquotierten Probestücken der 70 KMF umfasste. Nur bei deutlich feuchtem Material muss ein zusätzlicher Trocknungs-schritt berücksichtigt werden. Das vorgestellte Verfahren wurde nachfolgend zu einem Patent angemeldet. Untersuchungen zu einer weiteren Unterscheidung der KMF nach Alter sind geplant. T2 - 16. Kolloquium Prozessanalytik der GDCh & Dechema CY - Online meeting DA - 23.11.2020 KW - Mineralwolle KW - NIR KW - Chemometrie PY - 2020 AN - OPUS4-51731 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Remelting Miwo - Methoden für die Vor-Ort Analytik N2 - In Deutschland werden jährlich rund 20 Millionen Tonnen künstliche Mineralwolle für die Dämmung von Dächern und Fassaden sowie für Brandschutzprodukte verwendet. Um künstliche Mineralwolle aus Rückbaumaßnahmen in den Produktionsprozess zurückführen zu können, ist eine Trennung in Glas- und Steinwolle erforderlich, um eine Vermischung der beiden Produkte, die unterschiedliche Schmelztemperaturen aufweisen, zu vermeiden. Anstatt die Mineralwolle in spezielle Labors zu schicken, was zeitaufwendig und teuer ist, wurde das Potenzial eines tragbaren Nahinfrarot-Spektrometers (NIR) für den Einsatz vor Ort getestet. 140 verschiedene Mineralwolleproben wurden untersucht, um eine NIR-basierte Methode für die Vor-Ort-Unterscheidung zwischen Glas- und Steinwolle zu etablieren. Die Validierung der Methode mit Testproben und die Anwendung auf Materialien, die aus BigBags für Deponien entnommen wurden, haben gezeigt, dass die Methode präzise und robust ist. Als Referenzmethode wurde die Röntgenfluoreszenzspektroskopie (RFA) mit einer Kalibrierung auf der Grundlage der VDI 3492 verwendet. T2 - 23. Projektetage der Bauforschung CY - Online meeting DA - 14.03.2023 KW - NIR KW - RFA KW - Mineralwolle PY - 2023 AN - OPUS4-57372 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Potential of multivariate data analysis (MVA) in X-ray fluorescence analysis N2 - X-ray fluorescence spectrometry (XRF) is used, for example, in geochemistry, archaeology, materials science and agriculture to analyze the elemental composition of various samples [1]. Quantitative spectrum analysis typically applies methods such as fundamental parameters or intensity correction [1, 2]. However, there are also approaches to analyze XRF spectra using data-driven MVA approaches that are not based on a physical model. Principal component analysis (PCA) enables the visualization of data and the discovery of hidden relationships between analytical signals and sample parameters [1, 3]. Classification methods, e.g. PCA, cluster or discriminant analysis, can help to distinguish samples based on various complex integral features such as authenticity or origin of the sample [3]. MVA can also be used to correlate various external factors with elemental composition. In addition to classifying mineral wool into different material types based on characteristic oxides, PCA also enables the visualization of problem cases and supports the detection of possible outliers [4]. Multivariate regression methods such as partial least squares regression (PLSR) are a powerful tool for the quantitative analysis of spectra. In contrast to univariate analysis, in which only one characteristic is used as the basis for the regression, entire spectra or spectral ranges are analyzed here. It has been shown that the quantitative determination of C, H, N and O in polymers based on WDXRF spectra can be achieved by PLSR [5]. However, in the presence of complex matrix effects, the limitations of PLSR become clear, as was shown in a reference case (EDXRF spectra of steel and ore samples) [2]. Here, PLSR still outperformed the fundamental parameter approach, but proved to be less accurate than an intensity correction approach. Neural networks, which are better able to deal with nonlinear effects, are only an alternative if both a large number of calibration samples are available for adequate network training and a lot of time is available for network optimization. Despite limitations, it can be summarized that MVA, if used correctly, can contribute to increasing the informative value of XRF and to opening up new fields of application in areas of growing economic importance [1-5]. T2 - 12. PRORA Fachtagung Prozessnahe Röntgenanalytik CY - Berlin, Germany DA - 28.11.2024 KW - Chemometrics KW - Mineral wool KW - Data analysis KW - X-ray fluorescence PY - 2024 AN - OPUS4-62032 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Kombinierte Bestimmung von Wasserstoff in Gasgemischen mittels Raman- und NMR-Spektroskopie N2 - Vorgestellt wird die Nutzung von Online tauglichen Raman- und NMR-Spektrometern zur Quantifizierung des Wasserstoffmolanteils in gravimetrisch hergestellten Primärgasstandards unter Labor-Bedingungen. Es zeigte sich, dass Matrixeffekte insbesondere bei der Raman-Spektroskopie vernachlässigbar sind für die Quantifizierung von H2. Aufgrund der leichten Handhabbarkeit und der geringen Messunsicherheiten ergibt sich eine potenzielle Anwendung von Raman- und NMR-Spektroskopie unter Feldbedingungen als Online-Messeinheit im Bereich 5-100 cmol/mol Wasserstoff. T2 - 19. PAT Erfahrungsaustauschtreffen CY - Basel, Switzerland DA - 17.09.2024 KW - Raman KW - NMR KW - Wasserstoff PY - 2024 AN - OPUS4-62035 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Zhuang, Yiling A1 - Haderlein, Stefan B. A1 - Hagemann, Nikolas A1 - Grafmüller, Jannis A1 - Gogler, Karolin A1 - Paul, Andrea A1 - Fink, Friedrich A1 - Spahr, Stephanie T1 - Activation of persulfate by biochar and iron: role of biochar pyrolysis conditions and ash amendments N2 - Redox-active biochars can enhance contaminant transformation in persulfate-based Fenton-like water treatment by facilitating Fe(III) reduction to Fe(II). However, biochar properties vary greatly depending on both feedstock selection and pyrolysis conditions. Best suited biochars for Fe(III) reduction and persulfate activation have yet to be identified. Here, we investigated eight biochars for their ability to activate persulfate with Fe(III) to transform N,N-diethyl-m-toluamide (DEET) in water. Four of the biochars were produced from beech wood under different pyrolysis conditions (450–750 °C, high and low nitrogen flow rate in the reactor) and four biochars were produced from softwood amended with 0 – 43 weight percent (wt%) wood ash prior to pyrolysis at 500 °C. Beech wood biochar produced at 450 °C transformed DEET most efficiently with a half-life time of 39 ± 4 min, likely due to the high concentration of surface oxygen functional groups and persistent free radicals that accelerated Fe(III) reduction and formation of reactive species. Among the ash-amended biochars, biochar with 16 wt% ash amendment showed the most efficient DEET transformation with a half-life time of 27 ± 0.6 min, which is 10-times faster compared to a non-ash-amended biochar produced from the same biomass under similar pyrolysis conditions. Ash amendment led to the formation of crystalline iron minerals in biochars, which likely promoted Fe(III) reduction and persulfate activation. Our results highlight the potential for fine-tuning the redox properties of biochar, e.g., by ash amendment to a woody feedstock, enabling tailored performance for specific water treatment applications. KW - Persistent free radicals KW - Redox-active moieties KW - Fenton-like systems PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-634504 DO - https://doi.org/10.1016/j.seppur.2025.133634 SN - 1383-5866 VL - 374 SP - 1 EP - 8 PB - Elsevier B.V. AN - OPUS4-63450 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Golub, Tino Petar A1 - Meyer, Klas A1 - Paul, Andrea A1 - Kipphardt, Heinrich A1 - Tuma, Dirk T1 - Exploring the potential of a setup for combined quantification of hydrogen in natural gas – Raman and NMR spectroscopy N2 - An accurate measurement of the amount fraction of hydrogen in gas mixtures is mandatory for practical applications, requiring methods that are fast, continuous, robust, and cost-effective. This study compares the performance of Raman and benchtop NMR process spectroscopy for determining the hydrogen amount fraction in gas mixtures. A setup was designed to integrate both techniques, enabling measurements of the same sample. Tests were conducted with gravimetrically prepared gas mixtures of reference quality ranging from 1.20 cmol/mol to 85.83 cmol/mol of hydrogen. The results demonstrate that Raman spectroscopy provides superior performance, with a minimal root mean square error (RMSE) of 0.22 cmol/mol and excellent linearity. In contrast, benchtop NMR spectroscopy faced challenges, such as overlapping peaks and longer measurement times, resulting in a higher RMSE of 0.71 cmol/mol. Raman spectroscopy proves to be particularly well-suited for practical applications due to its high accuracy and linearity. Meanwhile, benchtop NMR spectroscopy holds potential for future enhancements through ongoing technological advances, such as higher magnetic field strengths. In summary, the results from our study indicate that Raman spectroscopy is already a serviceable method for precise hydrogen quantification, whereas benchtop NMR spectroscopy can be attributed potential for future applications. KW - Hydrogen amount fraction KW - Raman spectroscopy KW - NMR spectroscopy KW - Field applicability PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-610093 DO - https://doi.org/10.1016/j.saa.2024.125087 SN - 1386-1425 VL - 325 SP - 1 EP - 9 PB - Elsevier B.V. CY - Amsterdam AN - OPUS4-61009 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Wander, Lukas A1 - Lommel, Lukas A1 - Meyer, Klas A1 - Braun, Ulrike A1 - Paul, Andrea T1 - Development of a low-cost method for quantifying microplastics in soils and compost using near-infrared spectroscopy N2 - Near-infrared (NIR) spectroscopy is a promising candidate for low-cost, nondestructive, and high-throughput mass quantification of micro¬plastics in environmental samples. Widespread application of the technique is currently hampered mainly by the low sensitivity of NIR spectroscopy compared to thermo-analytical approaches commonly used for this type of analysis. This study shows how the application of NIR spectroscopy for mass quantification of microplastics can be extended to smaller analyte levels by combining it with a simple and rapid microplastic enrichment protocol. For this purpose, the widely used flotation of microplastics in a NaCl solution, accelerated by centrifugation, was chosen which allowed to remove up to 99 % of the matrix at recovery rates of 83–104 %. The spectroscopic measurements took place directly on the stainless-steel filters used to collect the extracted particles to reduce sample handling to a minimum. Partial least squares regression (PLSR) models were used to identify and quantify the extracted microplastics in the mass range of 1–10 mg. The simple and fast extraction procedure was systematically optimized to meet the requirements for the quantification of microplastics from common PE-, PP-, and PS-based packaging materials with a particle size < 1 mm found in compost or soils with high natural organic matter content (> 10 % determined by loss on ignition). Microplastics could be detected in model samples at a mass fraction of 1 mg g-1. The detectable microplastic mass fraction is about an order of magnitude lower compared to previous studies using NIR spectroscopy without additional enrichment. To emphasize the cost-effectiveness of the method, it was implemented using some of the cheapest and most compact NIR spectrometers available. KW - NIR KW - Soil KW - compost KW - PLSR PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-546405 DO - https://doi.org/10.1088/1361-6501/ac5e5f SN - 0957-0233 VL - 33 IS - 7 SP - 075801 EP - 075814 PB - IOP Publishing Ltd. CY - UK AN - OPUS4-54640 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Wander, Lukas A1 - Lommel, Lukas A1 - Braun, Ulrike A1 - Meyer, Klas A1 - Paul, Andrea T1 - Development of a Low-Cost Method for Quantifying Microplastics in Soils and Compost Using Near-Infrared Spectroscopy N2 - Near-infrared (NIR) spectroscopy is a promising candidate for low-cost, nondestructive, and highthroughput mass quantification of microplastics in environmental samples. Widespread application of the technique is currently hampered mainly by the low sensitivity of NIR spectroscopy compared to thermoanalytical approaches commonly used for this type of analysis. This study shows how the application of NIR spectroscopy for mass quantification of microplastics can be extended to smaller analyte levels by combining it with a simple and rapid microplastic enrichment protocol. For this purpose, the widely used flotation of microplastics in a NaCl solution, accelerated by centrifugation, was chosen which allowed to remove up to 99 % of the matrix at recovery rates of 83–104 %. The spectroscopic measurements took place directly on the stainless-steel filters used to collect the extracted particles to reduce sample handling to a minimum. Partial least squares regression (PLSR) models were used to identify and quantify the extracted microplastics in the mass range of 1–10 mg. The simple and fast extraction procedure was systematically optimized to meet the requirements for the quantification of microplastics from common PE-, PP-, and PS-based packaging materials with a particle size < 1 mm found in compost or soils with high natural organic matter content (> 10 % determined by loss on ignition). Microplastics could be detected in model samples at a mass fraction of 1 mg g-1. The detectable microplastic mass fraction is about an order of magnitude lower compared to previous studies using NIR spectroscopy without additional enrichment. To emphasize the cost-effectiveness of the method, it was implemented using some of the cheapest and most compact NIR spectrometers available. KW - Mikroplastik KW - NIR KW - Sensor KW - Kompost KW - Multivariat PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-552605 DO - https://doi.org/10.1088/1361-6501/ac5e5f VL - 33 IS - 7 SP - 1 EP - 13 PB - IOP Publishing Ltd. CY - Bristol AN - OPUS4-55260 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Paul, Andrea ED - Reese, M. ED - Goldhammer, T. ED - Schmalsch, C. ED - Weber, J. ED - Bannick, C. G. T1 - Spectroscopic evidence for adsorption of natural organic matter on microplastics N2 - The interaction of microcroplastics (MP) with dissolved organic matter, especially humic substances, is of great importance in understanding the behavior of microplastics in aquatic ecosystems. Surface modification by humic substances plays an essential role in transport and interaction of MP with abiotic and biotic components. Previous studies on the interaction between MP and humic substances were largely based on a model compound, humic acid (Sigma-Aldrich). In our work, we therefore investigated the interaction of natural organic matter (NOM) sampled from a German surface water with low-density polyethylene particles (LDPE). Highpressure size exclusion chromatography (HPSEC) and UV/vis absorption and fluorescence spectroscopy were used to characterize the incubation solutions after modifications due to the presence of LDPE, and Raman spectroscopy was used to characterize the incubated microplastics. While the studies of the solutions generally showed only very small effects, Raman spectroscopic studies allowed clear evidence of the binding of humic fractions to MP. The comparison of the incubation of NOM and a lignite fulvic acid which also was tested further showed that specific signatures of the humic substances used could be detected by Raman spectroscopy. This provides an elegant opportunity to conduct broader studies on this issue in the future. KW - Humic matter KW - Raman KW - HPSEC KW - Fluorescence KW - MCR PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-574519 DO - https://doi.org/10.1002/appl.202200126 SN - 2702-4288 VL - 3 IS - 2 SP - 1 EP - 30 PB - Wiley-VCH CY - Weinheim AN - OPUS4-57451 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Wander, Lukas A1 - Vianello, A. A1 - Vollertsen, J. A1 - Westad, F. A1 - Braun, Ulrike A1 - Paul, Andrea T1 - Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples N2 - 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. KW - Microplastics KW - FTIR KW - Exploratory analysis PY - 2020 DO - https://doi.org/10.1039/c9ay02483b VL - 12 IS - 6 SP - 781 EP - 791 PB - Royal Society of Chemistry AN - OPUS4-50396 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Multivariate approaches in the evaluation of (hyper)spectral data for microplastics analysis - options and limitations N2 - Die zunehmende Anreicherung von Gewässern und Böden mit Plastikmüll führt zur Anhäufung von mikroskopisch kleinen Plastikpartikeln, sogenannter Mikroplastik (MP). Es werden dringend analytische Methoden benötigt, die helfen MP zu identifizieren und zu quantifizieren. Gegenwärtig kommen dafür hauptsächlich thermoanalytische und mikro¬skopische Verfahren, wie Mikro-Infrarotspektroskopie oder Mikro-Raman zum Einsatz. Letztere sind in der Regel an zeitaufwendige Probenanreicherungen und -aufbereitungen gebunden, es können nur kleine Probenmengen (Mikrogramm) untersucht werden und die Auswertung der erzielten Spektren kann anspruchsvoll sein. Im Rahmen dieser Präsentation werden zwei Ansätze vorgestellt, die über die multi-variate Analyse spektroskopischer Daten i) einen neuen methodischen Ansatz zum Screening von MP in belasteten Böden sowie ii) eine alternative Auswertung großer (Mikro)-spektroskopischer Datensätze ermöglichen. Zunächst wird ein NIR-spektroskopisches Verfahrens vorgestellt, das es gestattet MP bestehend aus Polyethylen, Polyethylenterephthalat, Polypropylen und Polystyrol im Bereich bis zu 0,5 Massenprozent zu detektieren. Aufgrund kurzer Messzeiten und robuster Technik besitzt dieser Ansatz das Potenzial, im Gegensatz zu den thermoanalytischen und mikrospektroskopischen Methoden, größere Probenmengen mit minimaler Vor¬behandlung zu untersuchen. Der zweite Ansatz befasst sich mit der Auswertung großen Datensätze, wie sie typischerweise als Resultat der Mikro-FTIR unter Nutzung moderner FPA-Detektoren erhalten werden. Die Mikro-FTIR-Technik beruht auf der spektralen Aufnahme, Abbildung und an¬schließenden Identifizierung von Schwingungsbanden, die für synthetische Polymere typisch sind. Die Bilddatensätze sind groß und enthalten Spektren von unzähligen Partikeln natürlichen und synthetischen Ursprungs. Zur Ergänzung bestehender Ansätze, die z.B. auf Recherchen von Spektren¬bibliotheken basieren, wurde die explorative multivariate Datenanalyse getestet. Als Kernkonzept wurde hierbei die Dimensionalitäts¬reduktion verwendet. Die Ergebnisse stellen nicht nur eine orthogonale Methode zur Kontrolle der Ergebnisse dar, die auf Grundlage einer automatisierten Bibliothekssuche erzielt wurden, sondern ergaben darüber hinaus eine Gruppe von Spektren, die nicht in den vorhandenen Spektrenbibliotheken erfasst wurden. N2 - The increasing enrichment of water bodies and soils with plastic waste leads to the accumulation of microscopic plastic particles, so-called microplastics (MP). There is an urgent need for analytical methods that help to identify and quantify MP. At present, mainly thermo-analytical and microscopic methods such as micro-infrared spectroscopy or micro-Raman are used for this purpose. The latter are usually tied to time-consuming sample enrichment and preparation, only small sample quantities (micrograms) can be examined and the evaluation of the obtained spectra can be demanding. In the context of this presentation, two approaches are presented which, via the multi-variate analysis of spectroscopic data, allow i) a new methodological approach to screening MP in contaminated soils and ii) an alternative evaluation of large (micro)-spectroscopic data sets. First, a NIR spectroscopic method is presented which allows MP consisting of polyethylene, polyethylene terephthalate, polypropylene and polystyrene to be detected in the range of up to 0.5 mass percent. Due to short measurement times and robust technology, this approach has the potential, in contrast to thermo-analytical and micro-spectroscopic methods, to examine larger sample quantities with minimal pre-treatment. The second approach deals with the evaluation of large data sets, as typically obtained as a result of micro-FTIR using modern FPA detectors. The micro-FTIR technique is based on the spectral recording, imaging and subsequent identification of vibration bands typical of synthetic polymers. The image data sets are large and contain spectra of numerous particles of natural and synthetic origin. Exploratory multivariate data analysis has been tested to complement existing approaches based on e.g. spectrum library searches. The core concept used was dimensionality reduction. The results not only represent an orthogonal method for checking the results obtained by an automated library search, but also revealed a group of spectra that were not recorded in the existing spectrum libraries. T2 - analytica conference 2020 CY - Online meeting DA - 19.10.2020 KW - Microplastics KW - Multivariate Datenanalyse KW - NIR KW - Hyperspectral data PY - 2020 AN - OPUS4-51516 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Paul, Andrea A1 - Broszies, T. A1 - Ostermann, Markus A1 - Vogdt, F.U. A1 - Maiwald, Michael T1 - Unterscheidung von Mineralwollen mit Nahinfrarot-Spektroskopie (NIRS) T1 - Differentiation of mineral wool by near-infrared spectroscopy (NIRS) N2 - Für die Rückführung von aus Rückbauprojekten anfallender künstlicher Mineralwolle in ihren Herstellungsprozess ist es notwendig, Stein- und Glaswolle zu unterscheiden und voneinander getrennt zu halten. Zu diesem Zweck wurde das Potential von NIR-Spektroskopie (NIRS) für einen werks- oder baustellenseitigen Einsatz getestet. NIRS wird aufgrund kurzer Messzeiten, minimaler Probenvorbereitung und hoher Robustheit der Spektrometer häufig in der Prozessanalytik eingesetzt. Untersucht wurden 70 verschiedene Mineralwollen, wobei sich der Probenumfang sowohl aus werksneuen Proben mit Herstellerangaben als auch unbekannten Proben ohne Spezifikation zusammensetzen, die auf verschiedenen Baustellen in den Jahren 2016–2017 entnommen oder von Deponien zur Verfügung gestellt worden waren. Als Referenzmethode wurde die Röntgenfluoreszenzanalyse verwendet, um den Mineralwolle-Typ über den Elementgehalt nach VDI 3492 zu identifizieren. Mit Hilfe eines multivariaten Datenanalyseverfahrens konnte schließlich eine Methode etabliert werden, die eine zuverlässige Identifikation von unbekannten Mineralwollen anhand deren NIR-Spektren als Stein- bzw. Glaswolle ermöglicht. N2 - For the recirculation of artificial mineral wool resulting from deconstruction projects to the production process, it is necessary to distinguish between rock wool and glass wool. For this purpose, the potential of NIR spectroscopy (NIRS) was tested for the application directly on construction site or in factory. NIRS is often used in process analytics due to short measurement times, minimal sample preparation and high robustness of the spectrometers. In this study 70 mineral wool samples were examined, including both new samples with manufacturer`s specifications and unknown samples without specifications, which were taken at various German construction sites between 2016 and 2017 or which were provided by landfills. X-ray fluorescence spectroscopy was used as a reference method to identify the mineral wool type via the element content according to VDI 3492. With the help of a multivariate data analysis method finally a method was established, which allows a reliable identification of unknown mineral wool based on its NIR spectra as rock or glass wool. KW - Recycling KW - NIR KW - Baustoffe KW - Chemometrie PY - 2020 VL - 95 IS - 12 SP - 463 EP - 472 PB - VDI Fachmedien GmbH & Co. KG CY - Düsseldorf AN - OPUS4-51851 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea A1 - Breitfeld, S. A1 - Sauer, Andreas A1 - Becker, Roland A1 - Kalbe, Ute A1 - Bremser, Wolfram A1 - Braun, Ulrike T1 - A Raman spectroscopic method for the monitoring of microplastics in soil N2 - Due to the increasing presence of microplastic particles (MP) in the Environment and the unknown risks arising from them, there is an urgent need for analytical methods that allow for an efficient identification and quantification of microplastics (MP), i.e. particles < 5 mm, in environmental samples. So far, mostly timeconsuming (micro) infrared or micro-Raman spectroscopic methods are applied. Here an faster alternative Approach is presented based on a Raman processspectrometer with fiber-optical probes in combination with multivariate data analysis. T2 - 12. Kolloquium Prozessanalytik CY - Berlin, Germany DA - 28.11.2016 KW - Raman spectroscopy KW - Microplastics KW - Soil KW - Chemometrics KW - PLS-DA PY - 2016 SP - P10, 59 EP - 60 AN - OPUS4-38392 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hoehse, M. A1 - Paul, Andrea A1 - Gornushkin, Igor B. A1 - Panne, Ulrich T1 - Multivariate classification of pigments and inks using combined Raman spectroscopy and LIBS N2 - The authenticity of objects and artifacts is often the focus of forensic analytic chemistry. In document fraud cases, the most important objective is to determine the origin of a particular ink. Here, we introduce a new approach which utilizes the combination of two analytical methods, namely Raman spectroscopy and laser-induced breakdown spectroscopy (LIBS). The methods provide complementary information on both molecular and elemen tal composition of samples. The potential of this Hyphen ation of spectroscopic methods is demonstrated for ten blue and black ink samples on white paper. LIBS and Raman spectra from different inks were fused into a single data matrix, and the number of different groups of inks was determined through multivariate analysis, i.e., principal component analysis, soft independent modelling of class analogy, partial least-squares discriminant analysis, and support vector machine. In all cases, the results obtained with the combined LIBS and Raman spectra were found to be superior to those obtained with the individual Raman or LIBS data sets. KW - Pigments KW - Raman KW - LIBS KW - Chemometrics PY - 2012 DO - https://doi.org/10.1007/s00216-011-5287-6 SN - 1618-2642 SN - 1618-2650 VL - 402 IS - 4 SP - 1443 EP - 1450 PB - Springer CY - Berlin AN - OPUS4-25440 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wander, Lukas A1 - Paul, Andrea A1 - Rurack, Knut A1 - Biyikal, Mustafa A1 - Juritsch, Elevtheria A1 - Bernstein, Thomas A1 - Bartholmai, Matthias A1 - Noske, Reinhard T1 - Kompaktsensor zur Online-Überwachung von Nitroaromaten N2 - Nitroaromaten und insbesondere Trinitrotoluol (TNT) sind weit verbreitete Spreng- und Umweltschadstoffe. Die größte Herausforderung bei der Detektion von TNT in der Gasphase ist der geringe Dampfdruck. Derzeit werden vielerorts günstige, schnelle, handliche und einfach zu bedienende Alternativen zur klassischen TNT-Analytik entwickelt. Aktuell existieren keine einheitlichen Richtlinien für Sprengstoffsensoren. Hier wird die Entwicklung eines Messplatzes zur Validierung von Sprengstoffsensoren sowie die Erprobung eines kompakten Mustersensors vorgestellt. T2 - 12. Kolloquium Prozessanalytik CY - Berlin, Germany DA - 28.11.2016 KW - Nitroaromaten KW - Fluoreszenzlöschung KW - Sensor PY - 2016 SP - P11, 61 EP - 62 AN - OPUS4-38402 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Andrea T1 - Multivariate Datenanalyse von UV/VIS-Spektren zur Bestimmung der Photoisomere von Tearalenon T2 - 8. Kolloquium Prozessanalytik, BAM CY - Berlin, Germany DA - 2012-12-03 PY - 2012 AN - OPUS4-28096 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Paul, Andrea A1 - Dziallas, C. A1 - Zwirnmann, E. A1 - Gjessing, E.T. A1 - Grossart, H.-P. T1 - UV irradiation of natural organic matter (NOM): impact on organic carbon and bacteria N2 - UV-induced transformation of dissolved organic matter (DOC) is often accompanied by reduction of molecular weight and aromaticity and an increase of low-molecular weight (LMW) matter that can be utilized as a substrate by heterotrophic bacteria. Moreover, the generation of reactive transients and mineralization of DOC occurs. For a better understanding of the modification that starts after irradiation and to distinguish between possible chemical and biological modifications, we selected different natural organic matter (NOM) from Norway and Germany. The aqueous solutions were treated by UV irradiation and divided into two aliquot samples. NaN3 anti-bacterial treatment was applied to one sample, and high-pressure size-exclusion chromatography (HPSEC) analysis was used for both. In all samples, we found typical modifications of NOM after UV irradiation. Incubation (>7 days) of UV-irradiated NOM samples resulted in lower levels of LMW matter and increased aromaticity. Parallel to these changes of carbon fractions, an increase in bacterial cell numbers was observed. Addition of NaN3 to NOM, however, inhibited the reduction of LMW matter, indicating that microbial activity accounted for the observed changes in NOM. Analysis of the bacterial community composition by denaturing gradient gel electrophoresis (DGGE) of the amplified 16S rRNA genes revealed that bacterial communities of non-irradiated and UV-irradiated NOM were different and that UV selected for specific members of α-proteobacteria, β-proteobacteria, and Bacteriodetes. Our results imply that after UV-irradiation of NOM, specific bacterial members are well adapted to low pH, high LMW DOC concentrations, and oxidative stress, and therefore thrive well on UV-irradiated humic matter. KW - Humic matter KW - Bacteria KW - High-pressure size-exclusion chromatography (HPSEC) KW - UVC KW - Denaturing gradient gel electrophoresis (DGGE) KW - Sequencing PY - 2012 DO - https://doi.org/10.1007/s00027-011-0239-y SN - 1015-1621 SN - 0036-7842 VL - 74 IS - 3 SP - 443 EP - 454 PB - Springer CY - Basel ; Heidelberg AN - OPUS4-26182 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maierhofer, Christiane A1 - Thiel, Erik A1 - Altenburg, Simon A1 - Mohr, Gunther A1 - Thiede, Tobias A1 - Mishurova, Tatiana A1 - Paul, Andrea A1 - Kranzmann, Axel A1 - Hilgenberg, Kai A1 - Pittner, Andreas A1 - Bruno, Giovanni A1 - Sommer, Konstantin A1 - Gumenyuk, Andrey T1 - Quality control in additive manufacturing via in-situ monitoring and non-destructive testing N2 - More than 80 representatives of SMEs, industrial companies and research institutes met on September 12 at the workshop "Challenges in Additive Manufacturing: Innovative Materials and Quality Control" at BAM in Adlershof to discuss the latest developments in materials and quality control in additive manufacturing. In special lectures, researchers, users and equipment manufacturers reported on the latest and future developments in additive manufacturing. Furthermore, funding opportunities for projects between SMEs and research institutions on a national and European level were presented. T2 - Challenges in Additive Manufacturing: Innovative Materials and Quality Control CY - Berlin, Germany DA - 12.09.2018 KW - Additive manufacturing KW - Quality control KW - Non-destructive testing KW - In-situ monitoring PY - 2018 AN - OPUS4-46072 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -