TY - JOUR A1 - Langenhan, Jennifer A1 - Jaeger, Carsten A1 - Baum, K. A1 - Simon, M. A1 - Lisec, Jan T1 - A Flexible Tool to Correct Superimposed Mass Isotopologue Distributions in GC‐APCI‐MS Flux Experiments N2 - The investigation of metabolic fluxes and metabolite distributions within cells by means of tracer molecules is a valuable tool to unravel the complexity of biological systems. Technological advances in mass spectrometry (MS) technology such as atmospheric pressure chemical ionization (APCI) coupled with high resolution (HR), not only allows for highly sensitive analyses but also broadens the usefulness of tracer‐based experiments, as interesting signals can be annotated de novo when not yet present in a compound library. However, several effects in the APCI ion source, i.e., fragmentation and rearrangement, lead to superimposed mass isotopologue distributions (MID) within the mass spectra, which need to be corrected during data evaluation as they will impair enrichment calculation otherwise. Here, we present and evaluate a novel software tool to automatically perform such corrections. We discuss the different effects, explain the implemented algorithm, and show its application on several experimental datasets. This adjustable tool is available as an R package from CRAN. KW - Mass Spectrometry KW - Isotopologue Distribution KW - Metabolic Flux KW - R package PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-547318 DO - https://doi.org/10.3390/metabo12050408 VL - 12 IS - 5 SP - 1 EP - 10 PB - MDPI AN - OPUS4-54731 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Jaeger, Carsten A1 - Lisec, Jan T1 - Towards Unbiased Evaluation of Ionization Performance in LC-HRMS Metabolomics Method Development N2 - As metabolomics increasingly finds its way from basic science into applied and regulatory environments, analytical demands on nontargeted mass spectrometric detection methods continue to rise. In addition to improved chemical comprehensiveness, current developments aim at enhanced robustness and repeatability to allow long-term, inter-study, and meta-analyses. Comprehensive metabolomics relies on electrospray ionization (ESI) as the most versatile ionization technique, and recent liquid chromatography-high resolution mass spectrometry (LC-HRMS) instrumentation continues to overcome technical limitations that have hindered the adoption of ESI for applications in the past. Still, developing and standardizing nontargeted ESI methods and instrumental setups remains costly in terms of time and required chemicals, as large panels of metabolite standards are needed to reflect biochemical diversity. In this paper, we investigated in how far a nontargeted pilot experiment, consisting only of a few measurements of a test sample dilution series and comprehensive statistical analysis, can replace conventional targeted evaluation procedures. To examine this potential, two instrumental ESI ion source setups were compared, reflecting a common scenario in practical method development. Two types of feature evaluations were performed, (a) summary statistics solely involving feature intensity values, and (b) analyses additionally including chemical interpretation. Results were compared in detail to a targeted evaluation of a large metabolite standard panel. We reflect on the advantages and shortcomings of both strategies in the context of current harmonization initiatives in the metabolomics field. KW - Mass Spectrometry KW - Non-targeted analysis KW - Method development PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-548065 DO - https://doi.org/10.3390/metabo12050426 VL - 12 IS - 5 SP - 1 EP - 13 PB - MDPI AN - OPUS4-54806 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Orf, I. A1 - Tenenboim, H. A1 - Omranian, N. A1 - Nikoloski, Z. A1 - Fernie, A. R. A1 - Lisec, Jan A1 - Brotman, Y. A1 - Bromke, M. A. T1 - Transcriptomic and Metabolomic Analysis of a Pseudomonas-Resistant versus a Susceptible Arabidopsis Accession N2 - Accessions of one plant species may show significantly different levels of susceptibility to stresses. The Arabidopsis thaliana accessions Col-0 and C24 differ significantly in their resistance to the pathogen Pseudomonas syringae pv. tomato (Pst). To help unravel the underlying mechanisms contributing to this naturally occurring variance in resistance to Pst, we analyzed changes in transcripts and compounds from primary and secondary metabolism of Col-0 and C24 at different time points after infection with Pst. Our results show that the differences in the resistance of Col-0 and C24 mainly involve mechanisms of salicylic-acid-dependent systemic acquired resistance, while responses of jasmonic-acid-dependent mechanisms are shared between the two accessions. In addition, arginine metabolism and differential activity of the biosynthesis pathways of aliphatic glucosinolates and indole glucosinolates may also contribute to the resistance. Thus, this study highlights the difference in the defense response strategies utilized by different genotypes. KW - Mass Spectrometry KW - Arabidopsis KW - Resistance PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-559549 DO - https://doi.org/10.3390/ijms232012087 VL - 23 IS - 20 SP - 1 EP - 27 PB - MDPI AN - OPUS4-55954 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Russo, Francesco F. A1 - Nowatzky, Yannek A1 - Jaeger, Carsten A1 - Parr, Maria K. A1 - Benner, Philipp A1 - Muth, Thilo A1 - Lisec, Jan T1 - Machine learning methods for compound annotation in non‐targeted mass spectrometry—A brief overview of fingerprinting, in silico fragmentation and de novo methods N2 - Non‐targeted screenings (NTS) are essential tools in different fields, such as forensics, health and environmental sciences. NTSs often employ mass spectrometry (MS) methods due to their high throughput and sensitivity in comparison to, for example, nuclear magnetic resonance–based methods. As the identification of mass spectral signals, called annotation, is labour intensive, it has been used for developing supporting tools based on machine learning (ML). However, both the diversity of mass spectral signals and the sheer quantity of different ML tools developed for compound annotation present a challenge for researchers in maintaining a comprehensive overview of the field.In this work, we illustrate which ML‐based methods are available for compound annotation in non‐targeted MS experiments and provide a nuanced comparison of the ML models used in MS data analysis, unravelling their unique features and performance metrics. Through this overview we support researchers to judiciously apply these tools in their daily research. This review also offers a detailed exploration of methods and datasets to show gaps in current methods, and promising target areas, offering a starting point for developers intending to improve existing methodologies. KW - Mass Spectrometry KW - Spectra annotation KW - Machine learning PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-608732 DO - https://doi.org/10.1002/rcm.9876 VL - 38 IS - 20 SP - 1 EP - 15 PB - Wiley AN - OPUS4-60873 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Peter, Elisa K. A1 - Jaeger, Carsten A1 - Lisec, Jan A1 - Peters, R. Sven A1 - Mourot, Rey A1 - Rossel, Pamela E. A1 - Tranter, Martyn A1 - Anesio, Alexandre M. A1 - Benning, Liane G. T1 - Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing N2 - Introduction Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenskiöldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses ( 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies. KW - Metabolic profiling KW - Mass Spectrometry KW - Ice algae PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-607921 DO - https://doi.org/10.1007/s11306-024-02147-6 VL - 20 IS - 5 SP - 1 EP - 15 PB - Springer Science and Business Media LLC AN - OPUS4-60792 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Lisec, Jan T1 - CorMID - Correct Mass Isotopologue Distribution Vectors N2 - The investigation of metabolic fluxes and metabolite distributions within cells by means of tracer molecules is a valuable tool to unravel the complexity of biological systems. Technological advances in mass spectrometry (MS) technology such as atmospheric pressure chemical ionization (APCI) coupled with high resolution (HR), not only allows for highly sensitive analyses but also broadens the usefulness of tracer-based experiments, as interesting signals can be annotated de novo when not yet present in a compound library. However, several effects in the APCI ion source, i.e., fragmentation and rearrangement, lead to superimposed mass isotopologue distributions (MID) within the mass spectra, which need to be corrected during data evaluation as they will impair enrichment calculation otherwise. Here, we present and evaluate a novel software tool to automatically perform such corrections. We discuss the different effects, explain the implemented algorithm, and show its application on several experimental datasets. This adjustable tool is available as an R package from CRAN. KW - Mass Spectrometry KW - Software KW - R package KW - Mass Isotopomer Distribution KW - Flux Analysis PY - 2022 UR - https://github.com/cran/CorMID/ PB - GitHub CY - San Francisco, CA, USA AN - OPUS4-56442 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Knoche, Lisa A1 - Lisec, Jan A1 - Koch, Matthias T1 - Analysis of electrochemical and liver microsomal transformation products of lasalocid by LC/HRMS N2 - Rationale: Lasalocid (LAS), an ionophore, is used in cattle and poultry farming as feed additive for its antibiotic and growth-promoting properties. Literature on transformation products (TP) resulting from LAS degradation is limited. So far, only hydroxylation is found to occur as the metabolic reaction during the LAS degradation. To investigate potential TPs of LAS, we used electrochemistry (EC) and liver microsome (LM) assays to synthesize TPs, which were identified using liquid chromatography high-resolution mass spectrometry (LC/HRMS). Methods: Electrochemically produced TPs were analyzed online by direct coupling of the electrochemical cell to the electrospray ionization (ESI) source of a Sciex Triple-TOF high resolution mass spectrometer. Then, EC-treated LAS solution was collected and analyzed offline using LC/HRMS to confirm stable TPs and improve their annotation with a chemical structure due to informative MS/MS spectra. In a complementary approach, TPs formed by rat and human microsomal incubation were investigated using LC/HRMS. The resulting data were used to investigate LAS modification reactions and elucidate the chemical structure of obtained TPs. Results: The online measurements identified a broad variety of TPs, resulting from modification reactions like (de-)hydrogenation, hydration, methylation, oxidation as well as adduct formation with methanol. We consistently observed different ion complexations of LAS and LAS-TPs (Na+; 2Na+ K+; NaNH4 +; KNH4 +). Two stable methylated EC-TPs were found, structurally annotated, and assigned to a likely modification reaction. Using LM incubation, seven TPs were formed, mostly by oxidation/hydroxylation. After the identification of LM-TPs as Na+-complexes, we identified LM-TPs as K+-complexes. Conclusion: We identified and characterized TPs of LAS using EC- and LM-based methods. Moreover, we found different ion complexes of LAS-based TPs. This knowledge, especially the different ion complexes, may help elucidate the metabolic and environmental degradation pathways of LAS. KW - Mass Spectrometry KW - Electrochemistry KW - ECR KW - Lasalocid KW - Ionophore KW - Transformation products PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-553919 DO - https://doi.org/10.1002/rcm.9349 VL - 36 IS - 18 SP - 1 EP - 10 PB - Wiley online library AN - OPUS4-55391 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Epping, Ruben A1 - Lisec, Jan A1 - Koch, Matthias T1 - Changes in Black Truffle (Tuber melanosporum) Aroma during Storage under Different Conditions N2 - The enticing aroma of truffles is a key factor for their culinary value. Although all truffle species tend to be pricy, the most intensely aromatic species are the most sought after. Research into the aroma of truffles encompasses various disciplines including chemistry, biology, and sensory science. This study focusses on the chemical composition of the aroma of black truffles (Tuber melanosporum) and the changes occurring under different storage conditions. For this, truffle samples were stored under different treatments, at different temperatures, and measured over a total storage time of 12 days. Measurements of the truffle aroma profiles were taken with SPME/GC–MS at regular intervals. To handle the ample data collected, a systematic approach utilizing multivariate data analysis techniques was taken. This approach led to a vast amount of data which we made publicly available for future exploration. Results reveal the complexity of aroma changes, with 695 compounds identified, highlighting the need for a comprehensive understanding. Principal component analyses offer initial insights into truffle composition, while individual compounds may serve as markers for age (formic acid, 1-methylpropyl ester), freshness (2-Methyl-1-propanal; 1-(methylthio)-propane), freezing (tetrahydrofuran), salt treatment (1-chloropentane), or heat exposure (4-hydroxy-3-methyl-2-butanone). This research suggests that heat treatment or salt contact significantly affects truffle aroma, while freezing and cutting have less pronounced effects in comparison. The enrichment of compounds showing significant changes during storage was investigated with a metabolomic pathway analysis. The involvement of some of the enriched compounds on the pyruvate/glycolysis and sulfur pathways was shown. KW - Mass Spectrometry KW - Metabolomics KW - Tuber melanosporum KW - Truffle Aroma PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-601731 DO - https://doi.org/10.3390/jof10050354 VL - 10 IS - 5 SP - 1 EP - 22 PB - MDPI AN - OPUS4-60173 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Lisec, Jan T1 - fioRa N2 - R package providing a wrapper for the python module 'FIORA' as well as a 'shiny'-App to facilitate data processing and visualization. 'FIORA' allows to predict Mass-Spectra based on the SMILES code of chemical compounds. It is described in the Nature Communications article by Nowatzky et al. (2025). KW - Mass Spectrometry PY - 2025 UR - https://github.com/cran/fiora/ PB - GitHub CY - San Francisco AN - OPUS4-64663 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Lisec, Jan T1 - InterpretMSSpectrum (R package to annotate mass spectra) N2 - Gas chromatography using atmospheric pressure chemical ionization coupled to mass spectrometry (GC/APCI-MS) is an emerging metabolomics platform, providing much-enhanced capabilities for structural mass spectrometry as compared to traditional electron ionization (EI)-based techniques. To exploit the potential of GC/APCI-MS for more comprehensive metabolite annotation, a major bottleneck in metabolomics, we here present the novel R-based tool InterpretMSSpectrum assisting in the common task of annotating and evaluating in-source mass spectra as obtained from typical full-scan experiments. After passing a list of mass-intensity pairs, InterpretMSSpectrum locates the molecular ion (M0), fragment, and adduct peaks, calculates their most likely sum formula combination, and graphically summarizes results as an annotated mass spectrum. Using (modifiable) filter rules for the commonly used methoximated-trimethylsilylated (MeOx-TMS) derivatives, covering elemental composition, typical substructures, neutral losses, and adducts, InterpretMSSpectrum significantly reduces the number of sum formula candidates, minimizing manual effort for postprocessing candidate lists. We demonstrate the utility of InterpretMSSpectrum for 86 in-source spectra of derivatized standard compounds, in which rank-1 sum formula assignments were achieved in 84% of the cases, compared to only 63% when using mass and isotope information on the M0 alone. We further use, for the first time, automated annotation to evaluate the purity of pseudospectra generated by different metabolomics preprocessing tools, showing that automated annotation can serve as an integrative quality measure for peak picking/deconvolution methods. As an R package, InterpretMSSpectrum integrates flexibly into existing metabolomics pipelines and is freely available from CRAN (https://cran.r-project.org/). KW - Mass Spectrometry KW - Spectra annotation KW - Software KW - R package PY - 2016 UR - https://github.com/cran/InterpretMSSpectrum/ PB - GitHub CY - San Francisco, CA, USA AN - OPUS4-57856 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Lisec, Jan T1 - MetabolomicsBasics (R package to process and analyze metabolomics datasets) N2 - Raw data from metabolomics experiments are initially subjected to peak identification and signal deconvolution to generate raw data matrices m × n, where m are samples and n are metabolites. We describe here simple statistical procedures on such multivariate data matrices, all provided as functions in the programming environment R, useful to normalize data, detect biomarkers, and perform sample classification. KW - Software KW - Mass Spectrometry KW - R package KW - Data processing PY - 2018 UR - https://github.com/cran/MetabolomicsBasics/ PB - GitHub CY - San Francisco, CA, USA AN - OPUS4-57854 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lisec, Jan T1 - Metabolomics N2 - A 90 minutes overview on metabolomics as an analytical method for life sciences. T2 - IceBio Network training event CY - Grenoble, France DA - 29.02.2024 KW - Mass Spectrometry KW - Metabolomics KW - Data Analyses PY - 2024 AN - OPUS4-59596 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Temgoua, Ranil C.T. A1 - Lisec, Jan A1 - Koch, Matthias T1 - Recent Advances in Electrochemical Analysis of Phenylurea Herbicides N2 - Phenylurea herbicides (PUHs) are extensively used in modern agriculture due to their high efficiency in weed control; however, their widespread application has led to persistent environmental contamination and growing public health concerns. Reliable, sensitive, and selective analytical methods are therefore essential for monitoring these compounds in environmental and food matrices. Although several recent reviews have addressed electrochemical sensors and biosensors for a broad range of pollutants, there is currently no dedicated review focusing exclusively on PUHs while integrating electrochemical sensors, biosensors, molecularly imprinted polymers (MIPs), and electrochemical detection coupled with liquid chromatography (LC). This review provides a comprehensive and critical overview of electrochemical strategies developed for the analysis of PUHs. Core electroanalytical techniques, including cyclic voltammetry (CV), differential pulse voltammetry (DPV), square wave voltammetry (SWV), and chronoamperometry (CA), are discussed in terms of their fundamental principles, analytical roles, and suitability for mechanistic investigation, quantitative determination, and rapid screening. Electrochemical impedance spectroscopy (EIS) is also examined, particularly for its application in the characterization of electrode interfaces and in electrochemical biosensor development. Furthermore, the integration of electrochemical methods with mass spectrometry is highlighted as a powerful approach for elucidating redox mechanisms and identifying electrochemical transformation products. More than one hundred electrochemical sensors and biosensors reported between 1993 and 2025 are critically evaluated, with emphasis on electrode materials, surface modification strategies, detection mechanisms, analytical performance, and applicability to real samples. The advantages and limitations of electrochemical sensors, biosensors, and MIP-based platforms are systematically discussed in the context of sensitivity, selectivity, response time, and matrix effects. By synthesizing current advances and identifying remaining challenges, this review aims to provide clear guidance for future research and to support the development of robust, efficient, and application-oriented electrochemical methods for PUHs analysis. KW - Mass Spectrometry KW - Phenylurea herbicides KW - Electrochemistry PY - 2025 DO - https://doi.org/10.1016/j.snr.2025.100431 SN - 2666-0539 VL - 11 SP - 1 EP - 67 PB - Elsevier B.V. AN - OPUS4-65286 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Scholl, Juliane A1 - Lisec, Jan A1 - Haase, Hajo A1 - Koch, Matthias T1 - Identification of transformation products from fluorinated lithium-ion battery additives TPFPB and TPFPP: forever chemicals of tomorrow? N2 - AbstractFluorinated organic compounds (FOCs) represent a class of synthetic chemicals distinguished by their resilient carbon–fluorine bonds, which demonstrate an ability to withstand environmental degradation over an extended period. The integration of FOCs into cutting-edge applications, including lithium-ion batteries (LiBs), presents considerable potential for environmental harm that has not yet been sufficiently addressed. This study focuses on the environmental fate of two fluorinated aromatics, tris(pentafluorophenyl)borane (TPFPB) and tris(pentafluorophenyl)phosphine (TPFPP), given their important role in improving the performance of LiBs. To achieve this, laboratory simulation methods including total oxidizable precursor assay, electrochemistry (EC), Fenton reaction, UV-C irradiation, and hydrolysis were employed. Liquid chromatography and gas chromatography coupled with high-resolution mass spectrometry were used for identification of transformation products (TPs) and prediction of their molecular formulae. Despite the structural similarity between TPFPB and TPFPP, distinct differences in electrochemical behavior and degradation pathways were observed. TPFPB readily underwent hydroxylation and hydrolysis, resulting in a wide range of 49 TPs. A total of 28 TPs were newly identified, including oligomers and highly toxic dioxins. In contrast, TPFPP degraded exclusively under harsh conditions, requiring the development of innovative conditioning protocols for EC. In total, the simulation experiments yielded nine structurally different compounds, including seven previously undescribed, partially defluorinated TPs. This study highlights the potential risks associated with the use of FOCs in LiBs and provides insight into the complex environmental behavior of FOCs. KW - Mass Spectrometry KW - LiBs KW - POPs KW - Transformation products KW - Electrochemistry PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-611339 DO - https://doi.org/10.1007/s00216-024-05526-z SP - 1 EP - 15 PB - Springer Science and Business Media LLC AN - OPUS4-61133 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - INPR A1 - Scholl, Juliane A1 - Bagheri, Abbas A1 - Meiers, Emelie A1 - Lisec, Jan A1 - Russo, Francesco A1 - Haase, Hajo A1 - Koch, Matthias T1 - Unveiling Aging Mechanisms of Electrolytes in Commercial End-of-Life Lithium-Ion Batteries N2 - In this study, 77 end-of-life (EOL) commercial lithium-ion batteries (LIBs) of different formats were systematically analyzed to investigate electrolyte degradation mechanisms and the influence of pristine electrolyte composition on aging. Comprehensive chemical characterization employed targeted and non-targeted mass spectrometry (MS), combining liquid and gas chromatography (LC-MS/MS, GC-MS) with high-resolution MS (HRMS). This approach identified confirmed pristine components and complex degradation products. Commercial rechargeable pouch and cylindrical cells often deviated from conventional research model systems, using mixed lithium salt anions, ionic liquids (ILs), and high concentrations of triflates, triflimides, and bis(fluorosulfonyl)imide (FSI), functioning as solvents, salts, or additives. Specific IL degradation products and previously unreported pathways were proposed. A novel series of oligomerization products from propylene carbonate (PC) was also identified. In contrast, non-rechargeable coin cells showed prevalent use of per- and polyfluoroalkyl substances (PFAS) in their original electrolytes. Distinct PFAS degradation mechanisms were proposed for the first time. The absence of carbonate oligomers and lithium salt-derived products in coin cells, alongside standard carbonates, suggests lithium counterion coordination critically influences Lewis acid-catalyzed degradation. These findings provide new insight into real-world LIB aging, highlighting differences between commercial devices and model systems. KW - Mass Spectrometry KW - PFAS KW - Electrolyte degradation KW - Transformation products KW - Battery aging PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-641059 DO - https://doi.org/10.2139/ssrn.5395937 SP - 1 EP - 15 PB - Elsevier BV AN - OPUS4-64105 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Temgoua, Ranil C. T. A1 - Lisec, Jan A1 - Koch, Matthias T1 - Breaking down phenylurea herbicides: advanced electrochemical approaches for environmental degradation and remediation N2 - Phenylurea herbicides (PUHs) represent one of the most extensively used herbicide families in agriculture worldwide. While effective for weed control, their environmental persistence, bioaccumulation potential, and formation of toxic metabolites raise significant environmental concerns. This review examines current electrochemical strategies for degrading phenylurea herbicides, with special emphasis on electrochemical oxidation (EC), photoelectrochemical processes (PEC), electro-Fenton (ECF) and photo-electro-Fenton (PECF), with particular attention to the various reactor configurations and their operational mechanisms. A critical innovation of this review lies in its systematic parameter assessment framework, which categorizes nine key operational parameters across all electrochemical degradation methods: electrode material, catalyst type, cell configuration, radiation source, operating conditions (pH, current density, temperature), removal efficiency, mineralization rate, degradation kinetics, identified intermediates, and Energy consumption. For each technique, we highlight which parameters are essential, important, critical, or non� applicable, providing a structured framework to guide future experimental design. Selected case studies are presented to illustrate practical applications and performance outcomes. The review concludes with acritical analysis of current knowledge gaps and future research avenues that could enhance the sustainability, efficiency, and scalability of electrochemical remediation technologies. This work is intended as a comprehensive resource for environmental chemists, analytical scientists, and remediation engineers committed to addressing phenylurea herbicide contamination. KW - Mass Spectrometry KW - Phenylurea herbicides KW - Electrochemistry PY - 2026 DO - https://doi.org/10.1039/D5EW00809C SN - 2053-1400 VL - 12 IS - 1 SP - 72 EP - 92 PB - Royal Society of Chemistry (RSC) AN - OPUS4-64822 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Scholl, Juliane A1 - Scharpmann, Philippa A1 - Bagheri, Abbas A1 - Lisec, Jan A1 - Meiers, Emelie A1 - Jaeger, Carsten A1 - Leonhardt, Robert A1 - Haase, Hajo A1 - Koch, Matthias T1 - Beyond the lab: Real-world composition of commercial Li-ion battery electrolytes N2 - This study presents a systematic, characterization of electrolytes from commercial lithium-ion batteries (LIB), encompassing 90 batteries from leading global manufacturers across diverse formats and application sectors. An integrated, complementary mass spectrometric workflow combining LC–MS/MS, GC–MS, and high-resolution MS was employed. To ensure robust structural annotation, molecular identifications were assigned confidence levels following Schymanski et al. (2014). Across all formats, PF6− was confirmed as the dominant Li+ counterion, frequently coexisting with BF4−, PO2F2−, and bis(fluorosulfonyl)imide (FSI−), forming binary and ternary salt systems optimized for both conductivity and safety. Solvent systems revealed the widespread use of propylene carbonate (PC) combined with diverse carbonate mixtures, demonstrating trends in performance optimization specific to cell format. A variety of additives were identified, reflecting a clear shift towards multifunctional, synergistic additive packages and the gradual replacement of fluorinated species with environmentally safer alternatives. Cycling studies demonstrated that electrolyte degradation mechanisms are strongly influenced by electrode composition and additive chemistry, with oxidative degradation pathways dominating. Together, these findings provide rare empirical insight into the evolving formulation strategies of electrolytes in commercial LIB, still employing classic carbonates and LiPF6, but highlighting a trend toward safer, more robust, and sustainable electrolyte architectures by using synergistic multifunctional systems. KW - Mass Spectrometry KW - Lithium-ion batteries KW - Electrolyte degradation PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-656254 DO - https://doi.org/10.1016/j.jpowsour.2026.239739 SN - 0378-7753 VL - 673 SP - 1 EP - 13 PB - Elsevier B.V. AN - OPUS4-65625 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -