TY - JOUR A1 - Lancaster, Shaun T. A1 - Sahlin, Eskil A1 - Oelze, Marcus A1 - Ostermann, Markus A1 - Vogl, Jochen A1 - Laperche, Valérie A1 - Touze, Solène A1 - Ghestem, Jean-Philippe A1 - Dalencourt, Claire A1 - Gendre, Régine A1 - Stammeier, Jessica A1 - Klein, Ole A1 - Pröfrock, Daniel A1 - Košarac, Gala A1 - Jotanovic, Aida A1 - Bergamaschi, Luigi A1 - Di Luzio, Marco A1 - D’Agostino, Giancarlo A1 - Jaćimović, Radojko A1 - Eberhard, Melissa A1 - Feiner, Laura A1 - Trimmel, Simone A1 - Rachetti, Alessandra A1 - Sara-Aho, Timo A1 - Roethke, Anita A1 - Michaliszyn, Lena A1 - Pramann, Axel A1 - Rienitz, Olaf A1 - Irrgeher, Johanna T1 - Evaluation of X-ray fluorescence for analysing critical elements in three electronic waste matrices: A comprehensive comparison of analytical techniques N2 - As the drive towards recycling electronic waste increases, demand for rapid and reliable analytical methodology to analyse the metal content of the waste is increasing, e.g. to assess the value of the waste and to decide the correct recycling routes. Here, we comprehensively assess the suitability of different x-ray fluorescence spectroscopy (XRF)-based techniques as rapid analytical tools for the determination of critical raw materials, such as Al, Ti, Mn, Fe, Co, Ni, Cu, Zn, Nb, Pd and Au, in three electronic waste matrices: printed circuit boards (PCB), light emitting diodes (LED), and lithium (Li)-ion batteries. As validated reference methods and materials to establish metrological traceability are lacking, several laboratories measured test samples of each matrix using XRF as well as other independent complementary techniques (instrumental neutron activation analysis (INAA), inductively coupled plasma mass spectrometry (ICP-MS) and ICP optical emission spectrometry (OES)) as an inter-laboratory comparison (ILC). Results highlighted key aspects of sample preparation, limits of detection, and spectral interferences that affect the reliability of XRF, while additionally highlighting that XRF can provide more reliable data for certain elements compared to digestion-based approaches followed by ICP-MS analysis (e.g. group 4 and 5 metals). A clear distinction was observed in data processing methodologies for wavelength dispersive XRF, highlighting that considering the metals present as elements (rather than oxides) induces overestimations of the mass fractions when compared to other techniques. Eventually, the effect of sample particle size was studied and indicated that smaller particle size (<200 μm) is essential for reliable determinations. KW - XRF KW - WEEE KW - PCB KW - Battery KW - LED KW - Recycling PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-614060 DO - https://doi.org/10.1016/j.wasman.2024.10.015 VL - 190 SP - 496 EP - 505 PB - Elsevier B.V. AN - OPUS4-61406 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schmidinger, J. A1 - Barkov, V. A1 - Tavakoli, H. A1 - Correa, J. A1 - Ostermann, Markus A1 - Atzmueller, M. A1 - Gebbers, R. A1 - Vogel, S. T1 - Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors N2 - Soil sensing enables rapid and cost-effective soil analysis. However, a single sensor often does not generate enough information to reliably predict a wide range of soil properties. Within a case-study, our objective was to identify how many and which combinations of soil sensors prove to be suitable for high-resolution soil mapping. On a subplot of an agricultural field showing a high spatial soil variability, six in-situ proximal soil sensors (PSSs) next to remote sensing (RS) data from Sentinel-2 were evaluated based on their capabilities to predict a set of soil properties including: soil organic carbon, pH, moisture as well as plant-available phosphorus, magnesium and potassium. The set of PSSs consisted of ion-selective pH electrodes, a capacitive soil moisture sensor, an apparent soil electrical conductivity measuring system as well as passive gamma-ray-, X-ray fluorescence- and nearinfrared spectroscopy. All possible combinations of sensors were exhaustively evaluated and ranked based on their predict KW - XRF KW - Soil KW - Remote Sensing KW - Precision agriculture PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-613920 DO - https://doi.org/10.1016/j.geoderma.2024.117017 VL - 450 SP - 1 EP - 17 PB - Elsevier B.V. AN - OPUS4-61392 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Paul, Andrea A1 - Liestmann, Zoe A1 - Zaenker, Steffen A1 - Vogel, Kristin A1 - Broszies, Tanja A1 - Ostermann, Markus T1 - How reliable is the X‐ray fluorescence‐based differentiation between glass wool and rock wool and the age classification of rock wool? N2 - AbstractA prerequisite for the recycling of mineral wool is information about the type of material, that is, whether it is glass wool or rock wool. As mineral wool produced before the year 2000 can be potentially carcinogenic, it is furthermore important to distinguish between “old” and “new” wool when handling the material. Based on VDI 3492, it is possible to determine the material and, in the case of rock wool, the age by analyzing the mass fractions of eight oxides, which are the main components of mineral wool. This study presents the X‐ray fluorescence (XRF) analyses of 141 man‐made mineral fibers collected in Germany. Only in a few cases it was not possible to clearly assign the material type. In contrast, the identification of “old” and “new” rock wool posed a challenge as there were many borderline samples. Based on the available data, a chemometric model was developed that can classify “old” and “new” RW with a sensitivity of 93% and 89% and with a specificity of 100% in both cases. However, care must be taken when oxide contents are close to the specification limits. The reason for this mainly lies in the overlapping intervals of key oxides as suggested by VDI 3492, and, to a lesser extent, in the uncertainties typically occurring in the XRF‐based analysis of oxides. With this study, a comprehensive collection and evaluation of XRF data on mineral wool is made available, which can serve as a reference database for future users. KW - Mineral wool KW - RFA KW - Multivariate data analysis KW - VDI 3492 PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-610285 DO - https://doi.org/10.1002/xrs.3451 SN - 1097-4539 SP - 1 EP - 11 PB - Wiley CY - New York, NY AN - OPUS4-61028 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hamann, Christopher A1 - Piehl, Patrick A1 - Weingart, Eric A1 - Stolle, Dirk A1 - Al-Sabbagh, Dominik A1 - Ostermann, Markus A1 - Auer, Gerhard A1 - Adam, Christian T1 - Selective removal of zinc and lead from electric arc furnace dust by chlorination–evaporation reactions N2 - Re-melting of scrap in an electric arc furnace (EAF) results in the accumulation of filter dust from off-gas treatment that predominantly consists of iron and zinc oxides. Filter dust is classified as hazardous waste due to its high contents of potentially toxic or ecotoxic elements such as Pb, Cr, Cd, and As. A promising processing route for this waste is selective chlorination, in which the non-ferrous metal oxides are chlorinated and selectively evaporated in form of their respective chlorides from the remaining solids via the process gas flow. Here, we investigate stepwise thermochemical treatment of EAF dust with either waste iron(II) chloride solution or hydrochloric acid at 650, 800, and 1100 ◦C. The Zn and Pb contents of the thermochemically processed EAF dust could be lowered from 29.9% and 1.63% to 0.09% and 0.004%, respectively. Stepwise heating allowed high separation between zinc chloride at the 650 ◦C step and sodium-, potassium-, and lead-containing chlorides at higher temperatures. Furthermore, the lab-scale results were transferred to the use of an experimental rotary kiln highlighting the possibilities of upscaling the presented process. Selective chlorination of EAF dust with liquid chlorine donors is, therefore, suggested as a potential recycling method for Zn-enriched steelworks dusts. KW - Electric arc furnace dust KW - Zinc KW - Selective Chlorination KW - Hazardous waste KW - Resource Recovery PY - 2024 DO - https://doi.org/10.1016/j.jhazmat.2023.133421 SN - 0304-3894 VL - 465 SP - 1 EP - 13 PB - Elsevier AN - OPUS4-59345 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -