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Paper des Monats
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We assessed the quantification of surface amino functional groups (FGs) for a large set of commercial and custom-made aminated silica nanoparticles (SiO2 NPs) with sizes of 20–100 nm, prepared with different sol–gel routes, different amounts of surface amino FGs, and different porosity with four methods providing different, yet connected measurands in a bilateral study of two laboratories, BAM and NRC, with the overall aim to develop standardizable measurements for surface FG quantification. Special emphasis was dedicated to traceable quantitative magnetic resonance spectroscopy (qNMR) performed with dissolved SiO2 NPs. For the cost efficient and automatable screening of the amount of surface amino FGs done in a first step of this study, the optical fluorescamine assay and a potentiometric titration method were utilized by one partner, i.e., BAM, yielding the amount of primary amino FGs accessible for the reaction with a dye precursor and the total amount of (de)protonatable FGs. These measurements, which give estimates of the minimum and maximum number of surface amino FGs, laid the basis for quantifying the amount of amino silane molecules with chemo-selective qNMR with stepwise fine-tuned workflows, involving centrifugation, drying, weighting, dissolution, measurement, and data evaluation steps jointly performed by BAM and NRC. Data comparability and relative standard deviations (RSDs) obtained by both labs were used as quality measures for method optimization and as prerequisites to identify method-inherent limitations to be later considered for standardized measurement protocols. Additionally, the nitrogen (N) to silicon (Si) ratio in the near-surface region of the SiO2 NPs was determined by both labs using X-ray photoelectron spectroscopy (XPS), a well established surface sensitive analytical method increasingly utilized for microparticles and nano-objects which is currently also in the focus of international standardization activities. Overall, our results underline the importance of multi-method characterization studies for quantifying FGs on NMs involving at least two expert laboratories for effectively identifying sources of uncertainty, validating analytical methods, and deriving NM structure–property relationships.
Tracing Copper Fungicide Uptake and Distribution in Pea Plants and Soil Using 65Cu Isotope Labeling
(2025)
Copper-based fungicides are commonly used in grain farming to prevent yield losses and undesirable changes in organoleptic properties. However, the ingestion of these compounds can pose significant health risks to humans and animals when exposed through the oral route of absorption. To evaluate whether copper from foliar-applied fungicides can be absorbed and translocated to edible plant tissues, this study investigates the mobility of copper from a copper oxychloride fungicide using 65Cu as a stable isotope tracer. A greenhouse system was established to grow peas (Pisum sativum L.) and simulate agricultural fungicide applications. The 65Cu-labeled copper oxychloride fungicide was synthesized in-house and fully characterized by X-ray diffraction (XRD), Raman spectroscopy, and Fourier-transform infrared (FTIR) spectroscopy. Three applications of the fungicide (0,073g of total copper) were performed in a greenhouse pea growing system, while a control system received ultrapure water. After each application, surface soil, pods, and grains were collected, dried, ground, and digested. Total copper concentrations were measured via ICP OES, and 63Cu/65Cu isotopic ratios were analyzed using ICP-MS. Trends in isotopic ratio and total copper accumulation are visualized through the time series below, indicating the fungicide’s mobility and its accumulation in plant tissues and soil. Samples exposed to the copper fungicide exhibited markedly reduced 63Cu/65Cu isotopic ratios, indicating the uptake of the 65Cu tracer. Pod samples from the treated system showed a sharp decrease, especially after the first application. In the control grains, isotopic ratios stayed consistent throughout the experiment, reflecting the absence of direct contact with the fungicide. Conversely, grains from the treated system showed a consistent decrease in isotopic ratio values throughout the three applications. This pattern suggests a possible mechanism for absorbing or transferring copper isotopes from the pods to the grains, indicating the potential for internal contamination of edible plant tissues, even when the fungicide is applied externally. A similar trend was observed in the topsoil: while isotopic ratios remained constant in the control soil, the treated soil showed a consistent decrease after each application. These findings indicate that the copper fungicide is not only absorbed by aerial plant parts but also accumulates in the soil over time. Altogether, the use of 65Cu isotope tracing proved highly effective in assessing the systemic mobility, transfer, and environmental persistence of copper-based fungicides under controlled greenhouse conditions.
Single-event analysis of discrete entities using microwave-induced nitrogen plasma–mass spectrometry
(2025)
ICP-MS has become a standard for (ultra)trace elemental analysis due to its excellent sensitivity and multi-element capabilities. However, its widespread use is hampered by spectral interferences—especially in the low mass range (<81 amu)—primarily arising from Ar-based polyatomic ions, such as ArO+ and Ar2+, which compromise the accurate quantification of key elements like Fe and Se.1 Over the years, improvements such as collision/reaction cells and sector-field configurations have
helped mitigate these interferences, albeit often at the cost of instrument complexity and increased operational burden.The microwave-induced nitrogen plasma (MINP) source, sustained by microwaves at atmospheric pressure and using nitrogen as the plasma gas, offers a fundamentally different plasma environment. Nitrogen is not only more economical (40-60%) and readily available than Ar, but also avoids the generation of problematic Ar-based interferences. While MINP had been previously applied in optical emission and bulk mass spectrometry,2 its implementation in single-event detection had not yet been demonstrated.
This study pioneers the application of MINP-MS in single-event mode for real-time, high-throughput characterization of NPs, cells, and MPs. The evaluation began with Fe2O3 NPs monitoring the 56Fe nuclide, with a limit of detection of 8.6 ag for Fe, equivalent to a particle size threshold of 19 nm—surpassing the detection capabilities of quadrupole-based ICP-MS systems. Size distribution results
obtained by SP-MINP-MS for Fe2O3 NPs (20–70 nm) matched closely with transmission electron microscopy (TEM) and dynamic light scattering (DLS), confirming the method’s accuracy.
For Se, despite its high ionization energy, metallic SeNPs (150 and 250 nm) were reliably quantified by monitoring 80Se. A calibration curve constructed using SeNP standards yielded excellent linearity (R2 = 0.9994). This approach was further extended to single-cell analysis, using Se-enriched yeast (SELM-1 CRM) as a model. A transport efficiency-independent calibration strategy was employed, relying on SeNPs to determine Se content per cell. The results showed strong agreement with data from conventional SC-ICP-MS, with average Se masses of ~65 fg per cell, validating the
performance of SC-MINP-MS for biological systems. Additionally, the instrument's capability to handle large, low atomic number particles was demonstrated via the analysis of polystyrene (PS) and polytetrafluoroethylene (PTFE) MPs. These MPs (2.5–3.0 µm) were quantified by monitoring 12C+ signals and applying a calibration strategy using citric acid as a standard. The resulting size distributions closely matched nominal sizes, reinforcing the system’s robustness for micrometer-sized polymeric materials. Event durations ranging from 470 to over 900 µs were consistent with literature values for single-entity ICP-MS and correlated well with particle size.
These findings establish single-event MINP-MS as a promising analytical platform for analyzing discrete entities. It provides significant advantages over conventional Ar-based ICP-MS, including reduced interferences, lower operational cost, and comparable or superior sensitivity for analytes such as Fe and Se. By avoiding the limitations of Ar-based plasmas and enabling accurate quantification across a wide range of particle types and sizes, MINP-MS in single-event mode opens new avenues for high-resolution, interference-free elemental analysis at the individual entity level.
Fe oxides frequently exist in systems containing both Fe(II) and Fe(III), where their reactivity is enhanced and where interfacial electron transfer from Fe(II) adsorbed to the solids causes the transformation of metastable Fe oxides. Here, we contribute to the understanding of such a transformation using green rust sulfate (GR) synthesized in the presence or absence of Si or Al as the starting material. X-ray diffraction (XRD) and pair distribution function (PDF) analyses showed that (i) rapid oxidation by Cr(VI) caused transformation to Fe oxyhydroxide with short-range ordering, with a pattern identical to that reported for the oxidation of isolated GR hydroxide sheets (i.e., a trilayer of Fe with both edge- and corner-sharing polyhedra) and (ii) goethite formed at the expense of the short-range-ordered Fe oxyhydroxide when residual Fe(II) was present, particularly when Si was absent. This is consistent with the Fe(II)-catalyzed transformation of the short-range-ordered Fe oxyhydroxide. High-resolution transmission electron microscopy (TEM) showed that the two oxidation products coexisted within individual particles and that particle shape and the crystallographic orientation of both products were inherited from the original GR crystals, i.e., they had formed through topotactic transformation. We interpret that the structural reorganization to goethite occurred either in response to distortions caused by polaron movement or as a result of electron transfer reactions occurring at internal surfaces. Once nucleated, goethite growth can be sustained by dissolution–reprecipitation.
Antimicrobial coatings: modes of action, microbiological efficacy testing, and resistance evolution
(2025)
Within the Horizon-Europe funded project “STOP: Surface Transfer Of Pathogens”, Grant agreement 101057961, Working Package 6 is currently working on developing tests aimed at predicting possible selection and/or evolution of antibiotic resistance onto antimicrobial coatings meant for high-touch surfaces. This presentation describes the devised protocols and the preliminary results of their application on copper as a benchmark antimicrobial material.
Antimicrobial coatings: modes of action, microbiological efficacy testing, and resistance evolution
(2025)
Antimicrobial coatings and materials on high touch surfaces can provide additional level of protection to periodic disinfection cycles by reducing bacterial loads. However, different coatings and materials assert their antimicrobial activity in different ways, and it is not clear whether they could pose detrimental selective pressure towards antibiotic-resistant bacteria. This talk elucidates modes of actions and current knowledge gaps in testing antimicrobial resistance on antimicrobial surfaces.”
This presentation describes a new test procedure that allows to determine the transfer of microorganisms to surfaces and to measure the antimicrobial efficacy of those surfaces. The main improvement of the method is that is assesses the effect of the surfaces under semi-dry, realistic conditions by transferring microorganisms via a gelatin pad linked to a stamp of defined weight. Comparing the performance of the established antimicrobial materials with currently used wet test methods and the newly developed method shows reduced antimicrobial activity of those materials under semi-dry conditions.
This presentation provides an overview about how biocides drive the evolution of antimicrobial resistance during application and as pollutants in the environment. The presentation shows that biocides can lead to heterogeneous killing, facilitating tolerance evolution. This evolution is related to decreased susceptibility to antibiotics and has potential for co-selection. In contrast, evolved tolerance can limit antibiotic evolvability via epistatic interactions. Moreover, biocides can co-select for antibiotic resistance in wastewater and affect rates of mutation and horizontal gene transfer. Biocides and antibiotics show strong combination effects with consequences for selection of antibiotic resistance.
This presentation provides an overview about how biocides drive the evolution of antimicrobial resistance during application and as pollutants in the environment. The presentation shows that biocides can lead to heterogeneous killing, facilitating tolerance evolution. This evolution is related to decreased susceptibility to antibiotics and has potential for co-selection. In contrast, evolved tolerance can limit antibiotic evolvability via epistatic interactions. Moreover, biocides can co-select for antibiotic resistance in wastewater and affect rates of mutation and horizontal gene transfer. Biocides and antibiotics show strong combination effects with consequences for selection of antibiotic resistance.
This presentation provides an overview about how biocides drive the evolution of antimicrobial resistance during application and as pollutants in the environment. The presentation shows that biocides can lead to heterogeneous killing, facilitating tolerance evolution. This evolution is related to decreased susceptibility to antibiotics and has potential for co-selection. In contrast, evolved tolerance can limit antibiotic evolvability via epistatic interactions. Moreover, biocides can co-select for antibiotic resistance in wastewater and affect rates of mutation and horizontal gene transfer. Biocides and antibiotics show strong combination effects with consequences for selection of antibiotic resistance.