TY - CONF A1 - Hein, Sebastian T1 - Ansätze und Herausforderungen für das QM-System einer Ressortforschungseinrichtung N2 - Die BAM betreibt ein QM-System, das stark an der DIN EN ISO/IEC 17025 orientiert ist und welches in den meisten Fachabteilungen durch Akkreditierungen untersetzt wird. Mit der Zunahme der Forschungsaktivitäten in den letzten Jahren ist der DFG-Kodex zur Sicherstellung der Guten wissenschaftlichen Praxis deutlicher in den Fokus des Qualitätsmanagements gerückt. Der Vortrag zeigt auf, welche QM-Anforderungen an die Leistungen der BAM gestellt werden und mit welchen Instrumenten sie diese umsetzt, so dass Gute wissenschaftliche Praxis und Akkreditierungen gut harmonieren können. T2 - QM-Seminar; Robert-Koch-Institut CY - Berlin, Germany DA - 21.01.2020 KW - Qualitätsmanagement KW - Gute wissenschaftliche Praxis PY - 2020 AN - OPUS4-50311 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - van de Kreeke, Johannes T1 - Current developments in PT N2 - This presentation was held at a laboratory conference in Colombia, and aimed at sharing some current, bigger developments with the audience that are influencing the role and impact of PT (and, to a lesser extent, RM) on labs and society. T2 - Simposio Latinoamericano de Calibracíon y Ensayos CY - Bogotá, Colombia DA - 10.11.2021 KW - Proficiency Testing KW - Reference Materials KW - COMAR KW - EPTIS PY - 2021 AN - OPUS4-53813 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Matschat, Ralf A1 - Richter, Silke A1 - Vogl, Jochen A1 - Kipphardt, Heinrich T1 - On the way to SI traceable primary transfer standards for amount of substance measurements in inorganic chemical analysis N2 - During its 25 years of existence, the Inorganic Analysis Working Group of the Consultative Committee for Amount of Substance: Metrology in Chemistry and Biology (CCQM IAWG) has achieved much in establishing comparability of measurement results. Impressive work has been done on comparison exercises related to real-world problems in fields such as ecology, food, or health. In more recent attempts, measurements and comparisons were focused on calibration solutions which are the basis of most inorganic chemical measurements. This contribution deals with the question of how to achieve full and transparent SI traceability for the values carried by such solutions. Within this framework, the use of classical primary methods (CPMs) is compared to the use of a primary difference method (PDM). PDM is a method with a dual character, namely a metrological method with a primary character, based on the bundling of many measurement methods for individual impurities, which lead to materials with certified content of the main component. As in classical methods, where small corrections for interferences are accepted, in PDM, many small corrections are bundled. In contrast to classical methods, the PDM is universally applicable to all elements in principle. Both approaches can be used to certify the purity (expressed as mass fraction of the main element) of a high-purity material. This is where the metrological need of National Metrology Institutes (NMIs) for analytical methods meet the challenges of analytical methods. In terms of methods, glow discharge mass spectrometry (GMDS) with sufficient uncertainties for sufficiently small impurity contents is particularly noteworthy for the certification of primary transfer standards (PTS), and isotope dilution mass spectrometry (IDMS), which particularly benefits from PTS (back-spikes) with small uncertainties, is particularly noteworthy for the application. The corresponding relative uncertainty which can be achieved using the PDM is very low (< 10−4). Acting as PTS, they represent the link between the material aspect of the primary calibration solutions and the immaterial world of the International System of Units (SI). The underlying concepts are discussed, the current status of implementation is summarised, and a roadmap of the necessary future activities in inorganic analytical chemistry is sketched. It has to be noted that smaller measurement uncertainties of the purity of high-purity materials not only have a positive effect on chemical measurements, but also trigger new developments and findings in other disciplines such as thermometry or materials science. KW - Inorganic chemical analysis KW - Primary transfer standards (PTSs) KW - Traceability KW - Classical primary measurement method (CPM) KW - Primary difference measurement method (PDM) KW - Metrology in chemistry PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-572743 DO - https://doi.org/10.1007/s00216-023-04660-4 SN - 1618-2642 SN - 1618-2650 VL - 415 SP - 3057 EP - 3071 PB - Springer CY - Berlin AN - OPUS4-57274 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - van de Kreeke, Johannes A1 - Melzer, Michael T1 - The Digital RM Document (DRMD) N2 - The Digital Reference Material Document (DRMD) is a machine-readable replacement of the usual PDF Certificate. We have developed a fully functional beta version that is already in use for selected BAM materials and publicly available from the COMAR database, which showcases its feasibility. T2 - Deutsche Marktüberwachungskonferenz 2025 CY - Berlin, Germany DA - 17.09.2025 KW - Reference materials KW - Certified reference materials KW - Digital zertificates KW - QI-Digital PY - 2025 AN - OPUS4-64148 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Melzer, Michael T1 - The Digital RM Certificate Derived from the DCC N2 - The digital calibration certificate (DCC), is based on an XML-schema, which defines its general data structure and terminology. This DCC-schema is maintained and hosted by the PTB. In oder to also provide reference material certificates in machine-readable formats, allowing its automated processing and administration, the DCC-Schema is adapted to meet the specific requirements of reference material documents. This video presentation highlights the differences and similarities of both quality documents in terms of digitalization and introduces a first attempt to a DRMC-schema. T2 - CCQM Online Workshop on Digital and FAIR Chemical and Biological Reference Data and Certificates: Challenges and Opportunities CY - Online meeting DA - 09.09.2024 KW - Reference materials KW - Digital certificates KW - QI-Digital KW - Digital reference material document KW - Digital Metrology PY - 2024 AN - OPUS4-61888 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Winckelmann, Alexander A1 - Morcillo Garcia-Morato, Dalia A1 - Richter, Silke A1 - Recknagel, Sebastian A1 - Riedel, Jens A1 - Vogl, Jochen A1 - Panne, Ulrich A1 - Abad Andrade, Carlos Enrique T1 - Determination of lithium in human serum by isotope dilution atomic absorption spectrometry N2 - The therapeutic dose of lithium (Li) compounds, which are widely used for the treatment of psychiatric and hematologic disorders, is close to its toxic level; therefore, drug monitoring protocols are mandatory. Herein, we propose a fast, simple, and low-cost analytical procedure for the traceable determination of Li concentration in human serum, based on the monitoring of the Li isotope dilution through the partially resolved isotope shift in its electronic transition around 670.80 nm using a commercially available high-resolution continuum source graphite furnace atomic absorption spectrometer. With this technique, serum samples only require acidic digestion before analysis. The procedure requires three measurements—an enriched 6Li spike, a mixture of a certified standard solution and spike, and a mixture of the sample and spike with a nominal 7Li/6Li ratio of 0.82. Lanthanum has been used as an internal spectral standard for wavelength correction. The spectra are described as the linear superposition of the contributions of the respective isotopes, each consisting of a spin-orbit doublet, which can be expressed as Gaussian components with constant spectral position and width and different relative intensity, reflecting the isotope ratio in the sample. Both the spectral constants and the correlation between isotope ratio and relative band intensity have been experimentally obtained using commercially available materials enriched with Li isotopes. The Li characteristic mass (mc) obtained corresponds to 0.6 pg. The procedure has been validated using five human serum certified reference materials. The results are metrologically comparable and compatible to the certified values. The measurement uncertainties are comparable to those obtained by the more complex and expensive technique, isotope dilution mass spectrometry. KW - Lithium KW - Human serum KW - Isotope dilution KW - Atomic absorption spectrometry KW - High-resolution continuum source graphite furnace atomic absorption spectrometry PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-532446 DO - https://doi.org/10.1007/s00216-021-03636-6 VL - 414 IS - 1 SP - 251 EP - 256 PB - Springer CY - Berlin AN - OPUS4-53244 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Abad Andrade, Carlos Enrique T1 - Applications of atomic absorption spectrometry for lithium isotope analysis N2 - An alternative method for lithium isotope analysis by using high-resolution atomic absorption spectrometry (HR-CS-AAS) is proposed herein. This method is based on monitoring the isotope shift of approximately 15 pm for the electronic transition 22P←22S at around the wavelength of 670.8 nm, which can be measured by state-of-the-art HR-CS-AAS. Isotope analysis can be used for (i) the traceable determination of Li concentration and (ii) isotope amount ratio analysis based on a combination of HR-CS-AAS and spectral data analysis by machine learning (ML). In the first case, the Li spectra are described as the linear superposition of the contributions of the respective isotopes, each consisting of a spin-orbit doublet, which can be expressed as Gaussian components with constant spectral position and width and different relative intensity, reflecting the isotope ratio in the sample. Precision was further improved by using lanthanum as internal spectral standard. The procedure has been validated using human serum-certified reference materials. The results are metrologically comparable and compatible with the certified values. In the second case, for isotope amount ratio analysis, a scalable tree boosting ML algorithm (XGBoost) was employed and calibrated using a set of samples with 6Li isotope amount fractions ranging from 0.06 to 0.99 mol mol−1. The training ML model was validated with certified reference materials. The procedure was applied to the isotope amount ratio determination of a set of stock chemicals and a BAM candidate reference material NMC111 (LiNi1/3Mn1/3Co1/3O2), a Li-battery cathode material. These determinations were compared with those obtained by MC-ICP-MS and found to be metrologically comparable and compatible. The residual bias was −1.8‰, and the precision obtained ranged from 1.9‰ to 6.2‰. This precision was sufficient to resolve naturally occurring variations. The NMC111 cathode candidate reference material was analyzed using high-resolution continuum source atomic absorption spectrometry with and without matrix purification to assess its suitability for technical applications. The results obtained were metrologically compatible with each other. T2 - Colloquium Spectroscopicum Internationale XLII (CSI XLII) CY - Gijón, Spain DA - 30.05.2022 KW - Lithium KW - HR-CS-AAS KW - Chemometrics KW - Atomic spectrometry PY - 2022 AN - OPUS4-56498 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Sommerfeld, Thomas A1 - Riedel, Juliane A1 - Lisec, Jan A1 - Mauch, Tatjana A1 - Richter, Silke A1 - Koch, Matthias T1 - Development of a certified reference material for per- and polyfluoroalkyl substances (PFAS) in textiles N2 - Per- and polyfluoroalkyl substances (PFASs) are a large group of emerging organic pollutants that contaminate the environment, food, and consumer products. Textiles and other outdoor products are a major source of PFAS exposure due to their water-repellent impregnations. Determination of PFASs in textiles is increasingly important for enhancing their contribution to the circular economy. While maximum levels and restrictions exist for certain key compounds under the Stockholm Convention on Persistent Organic Pollutants and the REACH regulation, certified reference materials (CRMs) are not currently available. To address this issue, the first CRM for determining PFASs in outdoor textiles (BAM-B003) was developed. It fully complies with the requirements of ISO 17034 and ISO 33405. This work presents the entire process of CRM development process, including preparation, a homogeneity study, a stability study, and value assignment. Certification was based on an in-house study at BAM using liquid chromatography tandem mass spectrometry (LC–MS/MS) with stable isotope dilution analysis (SIDA). The certified mass fractions of 18 PFASs range widely from 0.46 to 69 µg/kg, with a prevalence of PFOA (69 µg/kg), PFOS (41 µg/kg) and PFHxA (35 µg/kg) exceeding legal limits. BAM-B003 is intended for analytical quality control and contributes to improving the chemical safety of textiles and strengthening the circular economy. KW - Reference Material KW - PFAS KW - Textiles PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-641040 DO - https://doi.org/10.1007/s00216-025-06098-2 SN - 1618-2642 SP - 1 EP - 9 PB - Springer Science and Business Media LLC AN - OPUS4-64104 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Winckelmann, Alexander A1 - Nowak, S. A1 - Richter, Silke A1 - Recknagel, Sebastian A1 - Riedel, Jens A1 - Vogl, Jochen A1 - Panne, Ulrich A1 - Abad Andrade, Carlos Enrique T1 - High-Resolution Atomic Absorption Spectrometry Combined With Machine Learning Data Processing for Isotope Amount Ratio Analysis of Lithium N2 - An alternative method for lithium isotope amount ratio analysis based on a combination of high-resolution atomic absorption spectrometry and spectral data analysis by machine learning (ML) is proposed herein. It is based on the well-known isotope shift of approximately 15 pm for the electronic transition 22P←22S at around the wavelength of 670.8 nm, which can be measured by the state-of-the-art high-resolution continuum source graphite furnace atomic absorption spectrometry. For isotope amount ratio analysis, a scalable tree boosting ML algorithm (XGBoost) was employed and calibrated using a set of samples with 6Li isotope amount fractions, ranging from 0.06 to 0.99 mol mol–1, previously determined by a multicollector inductively coupled plasma mass spectrometer (MC-ICP-MS). The calibration ML model was validated with two certified reference materials (LSVEC and IRMM-016). The procedure was applied toward the isotope amount ratio determination of a set of stock chemicals (Li2CO3, LiNO3, LiCl, and LiOH) and a BAM candidate reference material NMC111 (LiNi1/3Mn1/3Co1/3O2), a Li-battery cathode material. The results of these determinations were compared with those obtained by MC-ICP-MS and found to be metrologically comparable and compatible. The residual bias was −1.8‰, and the precision obtained ranged from 1.9 to 6.2‰. This precision was sufficient to resolve naturally occurring variations, as demonstrated for samples ranging from approximately −3 to +15‰. To assess its suitability to technical applications, the NMC111 cathode candidate reference material was analyzed using high-resolution continuum source atomic absorption spectrometry with and without matrix purification. The results obtained were metrologically compatible with each other. KW - Lithium KW - Isotope KW - Machine learning KW - Algorithms KW - Reference material KW - AAS KW - Atomic Absorption Spectrometry PY - 2021 DO - https://doi.org/10.1021/acs.analchem.1c00206 SN - 1520-6882 VL - 93 IS - 29 SP - 10022 EP - 10030 PB - American Chemical Society CY - Washington, DC, USA AN - OPUS4-53028 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Melzer, Michael T1 - The Digital Reference Material Document Derived from the DCC N2 - The DCC enables automatization in the metrological traceability of measurements and the dissemination and processing of data from calibration services. Many calibration and measurement procedures, however, rely on certified reference materials (CRMs) to obtain metrological traceability, especially in the broad field of chemical analysis. The metrological information of those reference materials is also provided in the form of certificates, and hence, their digitization bears the same automatization potential for quality assurance and traceability as the DCC itself. Although fairly similar, a reference material certificate contains some different information, and has a variable structure and proprietary requirements compared to a calibration certificate, as it is based on the dedicated ISO 33401 standard (formally known as ISO Guide 31) rather than the ISO/IEC 17025. Accordingly, the established DCC-schema does not fully fit the purpose of machine-readable reference material certificates. At the German Federal Institute for Materials Research and Testing (BAM), we started to adapt the DCC-schema in order to derive a dedicated schema for CRM certificates. For the seamless digital description of its certified values and their uncertainties, the newly developed schema also utilizes the Digital SI and thus provides a direct link to BIPM’s digital reference point for a global harmonization of metrological quantities. Furthermore, the schema will also be suitable for non-certified reference materials in order to form a common data structure for digital reference material documents (DRMD) in general. As a validated XML report, the DRMD is also compatible with established digital security and verification infrastructure, such as electronic seals and the novel digital accreditation symbol. In this presentation we will highlight some of the essential differences between reference material documents and calibration certificates, but also point out their similarities, which well justify the derivation of the DRMD-Schema from the DCC. In addition to the metrological traceability and quality assurance, further automatization use cases by means of DRMDs are presented, ranging from database maintenance to machine learning for automated analytics. This work was supported in part by national QI-Digital initiative funded by the German Federal Ministry for Economic Affairs and Climate Action. T2 - 5th International DCC Conference CY - Online Meeting DA - 25.02.2025 KW - Reference materials KW - Certified reference materials KW - Digital certificates KW - Digitalization KW - QI-Digital PY - 2025 UR - https://www.youtube.com/watch?v=0Mzu-bNNmbM&t=2446s UR - https://www.dcc-conference-2025.ptb.de/5th-international-dcc-conference AN - OPUS4-64178 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Morcillo, Dalia T1 - Atomic absorption spectrometry with machine learning as a tool for lithium isotope analysis N2 - The general interest in the implementation of renewable energies, particularly in the development of lithium-ion batteries, makes lithium a key element to be analyzed. We are working to develop this tool to determine if the isotopic effect of lithium has an impact on battery aging. T2 - SALSA Konferenz CY - Berlin, Germany DA - 16.09.2021 KW - Atomic absorption spectrometry KW - Battery KW - Machine learning KW - Lithium KW - Isotope PY - 2021 AN - OPUS4-53693 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - van de Kreeke, Johannes T1 - QI-Digital-Werkzeuge: DRMD N2 - Im Rahmen der Initiative QI-Digital wird ein digitales Referenzmaterial-Zertifikat (DRMD) entwickelt. Es basiert auf dem digitalen Kalibrierzertifikat (DCC) und ist ebenso wie dieses ein Element des Quality-X-Ökosystems. Die Entwicklung fokussiert zunächst auf zwei Produkte: das DRMD-XML-Schema einerseits und einen DRMD-Generator andererseits, mit dem händisch und/oder mittels KI DRMD-Dateien generiert werden können. Als Repositorium - und vor allem auch als PR-Maßnahme - könnte die COMAR-Datenbank dienen. T2 - Forum QI-Digital 2024 CY - Berlin, Germany DA - 09.10.2024 KW - Digitalisierung KW - Qualitätsinfrastruktur PY - 2024 AN - OPUS4-61886 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pisonero, J. A1 - Traub, Heike A1 - Cappella, Brunero A1 - Álvarez-Llamas, C. A1 - Méndez, A. A1 - Richter, Silke A1 - Ruiz Encinar, J. A1 - Costa-Fernandez, J. M. A1 - Bordel, N. T1 - Exploring quantitative cellular biomaging and assessment of CdSe/ZnS quantum dots cellular uptake in single cells, using ns-LA-ICP-SFMS N2 - High spatially resolved quantitative bioimaging of CdSe/ZnS Quantum Dots uptake in two kinds of cells is investigated combining laser ablation inductively coupled plasma mass spectrometry and the spatially resolved analysis of dried pL-droplets from a solution with a known concentration of Quantum Dots. Single cells and dried pL-droplets are morphologically characterized by Atomic Force Microscopy. A number concentration of CdSe/ZnS QDs between 3.5 104 and 48 104 is estimated to be uptaken by several selected single cells, after being incubated in the presence of a QDs suspension added to a standard cell culture medium. Mono-elemental bioimaging at subcellular resolution seems to show a higher number concentration of the CdSe/ZnS QDs in the cytosol around the cell nucleus. KW - LA-ICP-SFMS KW - Fast single pulse response KW - Quantitative bioimaging KW - Cellular uptake KW - HT22 KW - HeLa KW - Single cell KW - pL-droplets KW - CdSe/ZnS quantum Dots KW - AFM PY - 2021 DO - https://doi.org/10.1016/j.talanta.2021.122162 SN - 0039-9140 VL - 227 SP - 122162 PB - Elsevier B.V. AN - OPUS4-52121 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Morcillo, Dalia T1 - Lithium isotope analysis combining atomic absorption spectroscopy and machine learning N2 - In this poster for the SCIX Conference, we apply an analytical procedure based on the monitoring of the lithium isotope through the partially resolved isotope shift in the electronic transition 22P<-22S around wavelength 670.80 nm using high-resolution continuum source atomic absorption spectrometer (HR-CS-AAS) in combination with machine learning (ML) for the determination of Li Isotope ratio analysis. T2 - SCIX Conference CY - Providence, RI, USA DA - 26.09.2021 KW - Lithium isotope KW - High-resolution continuum source atomic absorption spectrometer KW - Machine learning PY - 2021 AN - OPUS4-53686 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Abad Andrade, Carlos Enrique T1 - The use of reference materials to improve the calibration strategy in glow discharge optical emission spectroscopy with machine learning N2 - Glow discharge optical emission spectroscopy (GD-OES) is a technique for the analysis of solids such as metals, semiconductors, and ceramics. A low-pressure glow discharge plasma is applied in this system, which ‘sputters’ and promotes the sample atoms to a higher energy state. When the atoms return to their ground state, they emit light with characteristic wavelengths, which a spectrometer can detect. Thus, GD-OES combines the advantages of ICP-OES with solid sampling techniques, which enables it to determine the bulk elemental composition and depth profiles. However, direct solid sampling methods such as glow-discharge spectroscopy require reference materials for calibration due to the strong matrix effect. Reference materials are essential when the accuracy and reliability of measurement results need to be guaranteed to generate confidence in the analysis. These materials are frequently used to determine measurement uncertainty, validate methods, suitability testing, and quality assurance. In addition, they guarantee that measurement results can be compared to recognized reference values. Unfortunately, the availability of certified reference materials suited to calibrate all elements in different matrix materials is limited. Therefore various calibration strategies and the preparation of traceable matrix-matched calibration standards will be discussed. Machine learning is an essential component of the growing field of data science. Through statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. Therefore, it was tried in our work to combine GD-OES with machine learning strategies to establish a new and robust calibration model, which can be used to identify the elemental composition and concentration of metals from a single spectrum. For this purpose, copper reference materials from different manufacturers, which contain various impurity elements, were investigated using GD-OES. The obtained spectra information are evaluated with different algorithms (e.g., gradient boosting and artificial neural networks), and the results are compared and discussed in detail. T2 - Winter Conference on Plasma Chemistry 2022 CY - Tucson, AZ, USA DA - 17.01.2022 KW - GDOES KW - Machine learning KW - Reference materials KW - Calibration KW - Cooper PY - 2022 AN - OPUS4-56497 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -