1.1 Anorganische Spurenanalytik
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Single-particle inductively coupled plasma-mass spectrometry (sp-ICP-MS) is one of the most powerful tools in the thriving field of nanomaterial analysis. Along the same lines, single-cell ICP-MS (sc-ICP-MS) has become an invaluable tool in the study of the variances of cell populations down to a per-cell basis. Their importance and application fields have been listed numerous times, across various reports and reviews. However, not enough attention has been paid to the immense and ongoing development of the tools that are currently available to the analytical community for the acquisition, and more importantly, the treatment of single-particle and single-cell-related data. Due to the ever-increasing demands of modern research, the efficient and dependable treatment of the data has become more important than ever. In addition, the field of single-particle and single-cell analysis suffers due to a large number of approaches for the generated data—with varying levels of specificity and applicability. As a result, finding the appropriate tool or approach, or even comparing results, can be challenging. This article will attempt to bridge these gaps, by covering the evolution and current state of the tools at the disposal of sp-ICP-MS users.
Graphical Abstract
The analysis of per- and polyfluoroalkyl substances (PFAS) via sum parameters like extractable organic fluorine (EOF) in combination with high resolution-continuum source-graphite furnace molecular absorption spectrometry (HR–CS–GFMAS) is highly promising regarding fluorine sensitivity and selectivity. However, the HR–CS–GFMAS method includes several drying and heating steps which can lead to losses of volatile PFAS before the molecular formation step using e.g., GaF formation. Hence, the method leads to a strong discrimination of PFAS within the EOF depending on their physical/chemical properties and is therefore associated with reduced accuracy. To reduce this discrepancy and to indicate realistic PFAS pollution values, an optimization of the HR–CS–GFMAS method for PFAS analysis is needed. Hence, we determined fluorine response factors of several PFAS with different physical/chemical properties upon application of systematic optimization steps. We could therefore improve the method's sensitivity for PFAS analysis using a modifier drying pre-treatment step followed by a sequential injection of sample solutions. The highest improvement in sensitivity of volatile PFAS was shown upon addition of a Mg modifier during drying pre-treatment. Thereby, during optimization the relative standard deviation of fluorine response factors could be reduced from 55 % (initial method) to 27 % (optimized method) leading to a more accurate determination of organofluorine sum parameters. The method provides an instrumental LOD and LOQ of β(F) 1.71 μg/L and 5.13 μg/L, respectively. Further validation aimed to investigate several matrix effects with respect to water matrices. Here, substance-specific behavior was observed. For example, perfluorooctanoic acid (PFOA) which was used as calibrator, showed signal suppressions upon high chloride concentrations (>50 mg/L). Hence, a thorough separation of Cl from analytes during sample preparation is needed for accurate sum parameter analysis.
Ytterbium-doped LiYF4 (Yb:YLF) is a promising material for all-solid-state optical cryocoolers, but the impact of foreign rare-earth impurities on the laser-cooling performance is not completely understood. In particular, Tm3+ has been reported to reduce the background absorption. This study quantitatively assesses the impact of Ho3+, Tm3+, and Er3+ impurities on laser-cooling of Yb:YLF by anti-Stokes fluorescence. We grew five Yb(5%):YLF crystals intentionally doped with tens of ppm levels of these impurities. Laser-induced thermal modulation spectroscopy tests confirmed that these rare-earth impurities reduce the external quantum efficiency of Yb:YLF without affecting the background absorption coefficient. Although Er3+ is a well-known quencher for Yb3+, Er3+ co-doping only slightly decreases the laser-cooling efficiency at low pump intensities but becomes detrimental at high pump intensities (>5 kW cm−2). However, this detrimental effect diminishes at lower temperatures, as evidenced by cooling an Er3+ co-doped crystal to the same minimum temperature of 144K as a solely Yb3+-doped crystal. Contrary to previous reports, Tm3+ proved to be the most detrimental among the three impurities.
In clinical magnetic resonance imaging, non-specific Gd-based contrast agents (GBCAs) are frequently used to improve image quality. However, the interaction of GBCAs with tissue components is not yet fully understood. Many diseases, including inflammation, fibrosis, and tumor invasion, are associated with characteristic changes of the extracellular matrix (ECM). The ECM is a three-dimensional scaffold that embeds the cells of all mammalian tissues. It is composed of structural proteins (e.g., collagen, elastin) and proteoglycans, which consist of glycosaminoglycans (GAGs) covalently bound to a protein core. GAGs are characterized by their ability to form complexes with cations such as lanthanides. Thus, GAGs could be a potential binding partner for GBCAs as a whole or for dechelated Gd. Laser ablation inductively coupled plasma time-of-flight mass spectrometry (LA/ICP-ToF-MS) was used to investigate the uptake and distribution of different GBCAs in spheroids mimicking biological tissue and exhibiting different ECM expressions. Spheroids from Chinese hamster ovary (CHO) cells and GAG-depleted CRL-2242 cells were incubated with gadolinium chloride and various linear and macrocyclic GBCAs. Although all spheroids were exposed to identical Gd concentrations, differences in the amount of Gd taken up were observed. Gadolinium chloride is more strongly absorbed and accumulates mainly in the outer regions of the spheroids. In contrast, after incubation with linear and macrocyclic GBCAs, Gd is detected in the interior of both types of spheroids. Furthermore, differences in the Gd amount were found depending on the GBCA used. However, further studies are needed to elucidate such complex interactions, also using other (bio)analytical techniques.
The gravimetric isotope mixture method is the primary method to determine absolute isotope ratios. This method, however, depends on the existence of suitable spike materials and knowledge of their purities. Determining the purity of the spikes can be tedious and labour-intensive. In this publication, an advancement of the gravimetric isotope mixture method, rendering the determination of the purity of the spike materials unnecessary, is presented. The advancement combines mass spectrometry and ion chromatography leading to an approach being independent of the purity of the spike materials. In the manuscript the mathematical background and the basic idea of the novel approach are described using a two-isotope system like copper or lithium.
Heavy metal on stage: Making ion-exchange resin selective by peptide tetrazine-norbornene ligation
(2024)
The challenge of recycling metal salt-contaminated wastewater is more relevant than ever, and cost-effective materials for specific ion-binding are required. A generic route to functionalize a macroporous polystyrene ion-exchange resin (LR-NH2) via chemoselective inverse electron-demand Diels-Alder (IEDDA) ligation is demonstrated. The resin is modified using accessible endo-/exo-5-norbornene-2-carboxylic acid (Nb-COOH) and a set of tetrazine-functionalized 5mer peptides based on sequence variations of the literature known Cu2+ binding domain HGGGW is employed for the IEDDA ligation. The resulting peptide-functionalized resins (LR-Pz-Peptides) are studied for Cu2+ binding to correlate ion-binding capacity with sequence properties by single bead analysis of metal amounts via inductively-coupled plasma mass spectrometry (ICP-MS). The complexation preferences are demonstrated and utilized for specific binding of Cu2+ versus Ni2+ from 1:1 salt mixture as a model system. Enrichment factors of up to 305 could be realized, which might open the potential for applications in metal recycling or waste water purification.
We correlated nontarget screening (NTS) features and extractable organic fluorine (EOF) data for PFAS analysis in environmental samples. Soils, sediments, and ashes from different locations (Germany, France, and Lithuania) (n = 34) were analyzed via liquid chromatography-high-resolution mass spectrometry and high-resolution continuum source-graphite furnace molecular absorption spectrometry. NTS feature prioritization based on mass to carbon (m/C) and mass defect to carbon (MD/C) ratios was applied to discriminate potential PFAS features from common co-extracted organic matrix. Our results show a high correlation between quantitative EOF and the prioritized feature number (R2 = 0.87; rPearson = 0.93) and the total peak area of
prioritized features (R2 = 0.97; rPearson = 0.98), while commonly applied MD ranges for filtering showed much weaker correlation with EOF. The observed correlations in PFAS-contaminated samples highlight that MD/C−m/C prioritization is associated with a good indication of the overall PFAS burden as evidenced by EOF. Also, semiquantitative data can be extracted as shown by EOF versus prioritized peak areas. The correlations indicate that weakly fluorinated compounds were negligible and that the EOF was mostly composed of highly fluorinated substances. Our method features the potential to automatically screen large NTS data sets for potential PFAS, determine the contribution of PFAS to EOF, and provide preliminary estimates of the overall PFAS burden.
Stable metal isotopes receive increasing attention as medical biomarkers due to their potential to detect changes of the metal metabolism related to disease. Potential mechanisms causing isotope fractionation include biological processes that involve redox- or bond-forming reactions and interaction of metals during transmembrane import and export. In order to advance our understanding of the underlying processes responsible for isotope fractionation between normal and diseased cells, we need in situ, spatially resolved methods. Despite its frequent use, laser ablation - multi-collector - inductively coupled plasma mass spectrometry (LA-MC-ICPMS) analysis of biological material is severely limited by the scarcity of matrix-matched standards. Such matrix-matched standards are necessary to correct for instrumental sources of isotope fractionation such as particle size distribution, ablation physics and differential ionization.
Copper stable isotopes have proven to be a particularly powerful tool to identify differences in isotope composition between tumors and healthy tissue suggesting application in cancer diagnosis [1, 2]. To further our knowledge of Cu isotope fractionation processes induced by diseases we have developed gelatin-based bracketing standards allowing to correct instrumentally induced isotope fractionation during LA-MC-ICPMS analysis. Since gelatin properties resemble properties of protein-rich cellular material, they mimic biological matrices and their ablation behaviour. Hence, gelatin standards are spiked with known amounts of Cu stable isotopes of a known Cu isotope composition and used as matrix-matched bracketing standard. A Ni reference solution was aspirated to the plasma to allow for mass bias correction and laser energy densities were below the glass ablation threshold. The method achieved reproducibilities of better than 0.10‰ (2SD) for inorganic reference materials and reproducibilities of better than 0.17‰ (2SD) for biological reference materials. The developed routine is tested on biomedical samples and the in situ Cu isotope data will be presented.
Non-specific Gd-based contrast agents (GBCAs) have long been routinely used in clinical magnetic resonance imaging (MRI). However, the interaction of such contrast agents with tissue components is not yet fully understood.
Alongside cells, the extracellular matrix (ECM) is an important component of mammalian tissue. It is a three-dimensional network of macromolecules that provides structural and biochemical support to the surrounding cells. Many diseases, including inflammation, fibrosis, and tumour invasion, are associated with characteristic ECM changes. The ECM consists of structural proteins (e.g., collagen, elastin) and proteoglycans, which are composed of glycosaminoglycans (GAGs) covalently linked to a protein core. GAGs are long, linear polysaccharides consisting of repeated disaccharide units widely varying in molecular mass, disaccharide structure, and sulfation degree. Characteristic of GAGs is their ability to form complexes with cations such as lanthanides. Thus, GAGs could be a potential binding partner for GBCA molecules as a whole or for dechelated Gd.
Currently, there are still many unanswered questions about the interaction of contrast agents with ECM components. This study therefore investigated the uptake and distribution of different GBCAs in spheroids that mimic biological tissue and have different ECM expressions.
Chinese hamster ovary (CHO) cells and GAG-depleted CRL-2242 cells were used to prepare spheroids. These were then incubated for several minutes with gadolinium chloride and various linear and macrocyclic GBCAs. Cryosections of the spheroids were used for imaging measurements with a low-dispersion laser ablation system coupled to an inductively coupled plasma time-of-flight mass spectrometer (LA/ICP-ToF-MS). Gelatine doped with multi-element solutions was used for matrix-matched quantification of Gd and other relevant elements such as Cu, Fe and Zn.
Although all spheroids were incubated with identical Gd concentrations, significant differences in the amount of Gd taken up were observed. Gadolinium chloride is absorbed more strongly than the contrast agents and accumulates mainly in the outer regions of the spheroids. In contrast, after incubation with the linear and macrocyclic contrast agents, Gd is detected in the interior of both types of spheroids.
The platinum group elements (PGEs) play an important role in reducing emissions from automotive vehicles through their use in catalytic convertors but also for catalysis in the pharmaceutical industry. The immense economic value of platinum (Pt), palladium (Pd) and rhodium (Rh) highlights the importance of highly accurate measurements. Therefore, there is a need for National Metrology Institutes (NMIs) and Designated Institutes (DIs) to demonstrate measurement capability in this space.
A pilot comparison (CCQM-P63) for precious metals in automotive catalyst took place in 2006, but with a limited number of institutes participating. Furthermore, this study was performed over 17 years ago. Therefore, there was a need to maintain existing capability and demonstrate new capability in a key comparison, in order to claim calibration and measurement capability claims (CMCs). With the core capability matrix, this study falls into the "Difficult to dissolve metals/metal oxides" which will support CMC categories 8 (Metal and metal alloys), 9 (Advanced materials) and 14 (Other materials).
Eleven NMIs and DIs participated in the Key Comparison CCQM-K160 Platinum Group Elements in Automotive Catalyst. Participants were requested to evaluate the mass fractions of Pt, Pd and Rh in mg/kg in an unused autocatalyst material (cordierite ceramic base). The Key Comparison Reference Values (KCRVs) and Degrees of Equivalence (DoEs) were calculated utilising the NIST Decision Tree for the measurands. The participants utilised a number of sample preparation and analytical methods including hot plate digestion, microwave digestion and sodium fusion, followed by either atomic absorption spectroscopy (AAS), inductively coupled plasma optical emission spectroscopy (ICP-OES) or inductively coupled plasma mass spectrometry (ICP-MS) detection. Several calibration techniques were used, namely external calibration, standard addition, isotope dilution mass spectrometry (IDMS) and an exact matching procedure. Additionally, one participant employed instrumental neutron activation analysis (INAA) with k0 standardisation which is a direct solid analysis method. The majority of participants claimed traceability to NIST primary calibrants or their own CRMs. Furthermore, several matrix CRMs were included or spiked samples for quality control. All institutes were required to determine the dry mass fraction using the stipulated protocol.
The NIST decision tree was implemented for the calculation of the KCRVs and DoEs. The participant results overall showed good agreement with the KCRV, despite the variety of dissolution procedures and measurement techniques for this highly complex matrix and challenging measurands. Successful participation in CCQM-K160 demonstrated measurement capabilities for the determination of mass fraction of Pt, Pd and Rh in the mg/kg range and will support broad scope CMC claims for a wide range of challenging matrices.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).