<p><strong>Taťána Gazárková is currently a&nbsp;postdoctoral fellow in the Laboratory of Antibiotic Resistance and Microbial Metabolomics. During her doctoral studies, she focused on chromatography and mass spectrometry. Recently, she was awarded second place in the “Sanofi Prize for Pharmacy 2026” competition.</strong></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/MBU_AV_CR_Lukas_Biba_Rozhovor_Cim_zaujala_analyticka_chemie_postdoktorandku_Tatanu_Gazarkovou_7450c646fa.jpg" alt="MBÚ/Lukas Biba:&nbsp;Sanofi Prize for Pharmacy 2026" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_MBU_AV_CR_Lukas_Biba_Rozhovor_Cim_zaujala_analyticka_chemie_postdoktorandku_Tatanu_Gazarkovou_7450c646fa.jpg 234w," sizes="100vw" width="1024" height="683"></p><p><strong>Taťána Gazárková </strong>is currently a&nbsp;postdoctoral fellow in the <strong>Laboratory of Antibiotic Resistance and Microbial Metabolomics</strong>. During her doctoral studies, she focused on chromatography and mass spectrometry. Recently, she was awarded second place in the <strong>“Sanofi Prize for Pharmacy 2026” </strong>competition, which is awarded by the<strong> French Embassy in the Czech Republic</strong> for her dissertation – Steroid Analysis Using Modern Chromatographic and Mass Spectrometry Techniques: From Fundamental Studies to Targeted Bioanalytical Applications (supervisor: <strong>Lucie Nováková, Charles University</strong>).&nbsp;</p><h5><strong>What makes this field particularly exciting or unique in your view?</strong></h5><p>What I&nbsp;enjoy about analytical chemistry is that, to a&nbsp;certain extent, it is a&nbsp;kind of detective work. You are often looking for ways to “make the invisible visible”. In other words, extract the information you are interested in from a&nbsp;complex sample and then interpret it correctly. What also appeals to me about bioanalytical chemistry is its interdisciplinary nature. It brings together analytical chemistry, biochemistry, biology and medicine, which means that you need to be able not only to translate a&nbsp;biological or clinical question into a&nbsp;measurable analytical experiment, but also to place the resulting data back into a&nbsp;broader biological context. This combination of different perspectives is probably what I&nbsp;enjoy most about the field. At the same time, there is still plenty of room for fundamental research, ranging from studying analytical techniques themselves and improving them to developing new methodological approaches.</p><h5><strong>How did you end up at the </strong><a target="_blank" rel="noopener noreferrer" href="https://mbu.cas.cz/en/research/laboratory-of-antibiotic-resistance-and-microbial-metabolomics"><strong>Laboratory of Antibiotic Resistance and Microbial Metabolomics</strong></a><strong>, and what project are you currently working on?</strong></h5><p>I came to the Institute of Microbiology through a&nbsp;joint project between<strong> Dr Zdeněk Kameník and Assoc. Prof. Jan Bobek from the First Faculty of Medicine, Charles University</strong>. For me, it was also an opportunity to move from targeted analysis and the study of chromatographic techniques towards untargeted metabolomics and new biological questions.</p><p>In the project, we are trying to identify new biologically active compounds that would be effective, particularly against pathogenic fungi. As a&nbsp;potential source of such compounds, we study streptomycetes, bacteria known for their ability to produce a&nbsp;wide range of biologically active compounds, including many antibiotics that are currently in clinical use. We focus on less-explored host-associated streptomycetes, in which we had already observed antifungal activity in previous experiments. We are especially interested in strains active against Candida albicans whose activity cannot be explained by the presence of a&nbsp;known bioactive compound. These strains may represent an interesting source of novel compounds. We then integrate the results of untargeted metabolomic analyses with genomic analyses, which allows us to obtain a&nbsp;more comprehensive view of the biosynthetic potential of selected strains.</p><h5><strong>You also took part in this year’s Vědafest, a&nbsp;science outreach event for the public. What was it like?</strong></h5><p>I already had some experience with science outreach through events such as Researchers’ Night and the Science Fair at my previous institution, but this year’s Vědafest was still new to me in some ways. This time, I&nbsp;was presenting a&nbsp;field that I&nbsp;myself had entered only relatively recently. It was therefore more challenging to find the right analogies and explain the essence of the topic in a&nbsp;way that was simple, yet precise and scientifically accurate. At the same time, that was exactly what made it inspiring. It forces you to look at your own work from a&nbsp;different perspective. What I&nbsp;enjoyed most was the spontaneity and curiosity of the children, who often came up with questions that would never even occur to an adult.</p><h5><strong>What are the biggest challenges you face on your scientific journey, and what helps you overcome them?</strong></h5><p>One of the greatest, but at the same time most interesting, challenges is, in my view, the uncertainty that is inseparably linked to research. For a&nbsp;long time, you often do not know whether you have taken the right direction in addressing a&nbsp;particular question or whether you will ultimately manage to find that figurative final piece of the puzzle. At the same time, this uncertainty is precisely what makes science exciting for me.</p><p>Another major challenge, particularly in interdisciplinary projects, is communication. It is important from the very formulation of a&nbsp;hypothesis and the planning of experiments through to the interpretation of results, including negative ones, and placing them in a&nbsp;broader context. To some extent, every field has its own language, and finding a&nbsp;common understanding is not always straightforward. Personally, I&nbsp;find it very helpful to be able to discuss problems with colleagues on an ongoing basis, whether individually or during regular laboratory seminars. One of the major strengths of our current group is its interdisciplinary nature, which allows me to look at the same problem from several different perspectives. It is also important for me not to lose my curiosity, because that is ultimately what leads us to ask further questions.</p><h5><strong>What are your plans after completing your PhD?</strong></h5><p>After finishing my PhD, I&nbsp;decided that I&nbsp;do not need to have everything that comes next precisely mapped out straight away. I&nbsp;would like to keep different options open for a&nbsp;while and continue building on my experience in analytical chemistry, while at the same time connecting it with other areas that have a&nbsp;biological or medical relevance. I&nbsp;believe that we can keep learning throughout our lives, so I&nbsp;am quite curious to see where the next stage of my journey will take me.</p><p><i>Thank you for the interview!</i></p>

Interview: What Drew Postdoc Taťána Gazárková to Analytical Chemistry

<p><strong>Per- and polyfluoroalkyl substances (PFAS) have earned the moniker "forever chemicals" due to their extreme persistence in the environment. Their detection is crucial for protecting public health and the environment as these synthetic compounds continue to pose significant challenges worldwide. This comprehensive exploration examines why PFAS detection matters, current detection methods, and future directions in addressing PFAS contamination.</strong></p><h3><strong>Understanding PFAS and Their Health Impacts</strong></h3><p>PFAS are a class of synthetic organic compounds with diverse structures, properties, and uses. Despite their diversity, all PFAS contain perfluoroalkyl moieties that are extremely resistant to environmental and metabolic degradation [1]. This high persistence is a defining characteristic that makes PFAS management particularly challenging.</p><h3><strong>Documented Health Effects</strong></h3><p>Current scientific research has linked PFAS exposure to numerous adverse health outcomes:</p><ul><li>Reproductive effects including decreased fertility and increased high blood pressure in pregnant women [8]</li><li>Developmental effects in children such as low birth weight, accelerated puberty, and behavioral changes [8]</li><li>Reduced immune system function, including decreased vaccine response</li><li>Interference with natural hormones and endocrine disruption</li><li>Increased cholesterol levels and obesity risk</li><li>Increased risk of several cancers, including prostate, kidney, testicular, oral cavity/pharynx, brain, and endocrine cancers [3]</li></ul><p>A 2023 study linked PFAS-contaminated water with up to a <strong>33% increase in cancer incidence</strong> in affected areas [3]. The study compared regions with elevated PFAS levels to cancer data from the National Cancer Institute, finding higher incidences of various cancers after controlling for factors like smoking and obesity.</p><h3><strong>Environmental Persistence and Contamination</strong></h3><p>The extreme persistence of PFAS represents a fundamental concern for environmental management. PFAS are considered the most environmentally persistent substances among organic chemicals [7]. This persistence means that even if all PFAS uses were immediately phased out, existing contamination would continue to affect ecosystems and water supplies for generations.</p><p>A 2023 study at a military fire training site estimated that PFAS contamination will persist for centuries without remediation [7]. The research found that terminal PFAS still exceed regulatory limits by 2000-fold decades after aqueous film-forming foam (AFFF) use ceased, with precursors accounting for around half of the extractable organofluorine across years.</p><h3><strong>Current Detection Methods</strong></h3><h4><strong>EPA Standardized Methods</strong></h4><p>The<strong> Environmental Protection Agency (EPA</strong>) has developed several standardized methods for PFAS detection, each with specific applications and capabilities:</p><h5><strong>EPA Method 533</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/epa-533-drying-down-pfas-samples-after-spe"><strong>EPA Method 533</strong></a> focuses on "short chain" PFAS with carbon chain lengths of<strong> C4 to C12</strong>. Released in December 2019, this method complements Method 537.1 and includes several key features:</p><ul><li>Uses isotope dilution quantification approach with extracted internal standards, which reduces overall analytical uncertainty</li><li>Employs weak anion exchange solid phase extraction cartridges as opposed to polystyrene divinylbenzene used in 537.1</li><li>Can analyze 25 PFAS compounds, including additional short-chain PFAS that were not apart of Method 537.1</li><li>Allows for longer holding times: 28 days to extraction and 28 days to analyze (compared to 14 days to extraction in Method 537.1)</li><li>Uses ammonium acetate as a preservative (versus Trisma in Method 537.1) [1]</li></ul><h5><strong>EPA Method 537/537.1</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/sample-concentration-epa-method-537-pfas-determination"><strong>EPA Method 537 </strong></a>was first published in 2009 for the determination of 14 PFAS in drinking water [6]. It was later updated to Method 537.1 in 2018 (with editorial updates in 2020) to expand its capabilities:</p><ul><li>Uses<a target="_blank" rel="noopener noreferrer" href="https://www.organomation.com/what-is-solid-phase-extraction-spe"><strong> solid phase extraction (SPE) </strong></a>and<a target="_blank" rel="noopener noreferrer" href="https://www.organomation.com/preparing-samples-for-lc-ms/ms-analysis"><strong> liquid chromatography/tandem mass spectrometry (LC-MS/MS)</strong></a></li><li>Method 537.1 expanded detection to 18 PFAS compounds, including HFPO-DA (one component of GenX technology)</li><li>Utilizes styrene-divinylbenzene (SDVB) media for extraction</li><li>Requires samples to be extracted within 14 days and analyzed within 28 days</li><li>Methanol is used to elute the extracts. This should then be reconstituted with a 96:4 methanol:water mixture [1]</li></ul><p>Together, Methods 533 and 537.1 can detect a total of <strong>29 unique PFAS compounds in drinking water </strong>and are approved for monitoring under the fifth Unregulated Contaminant Monitoring Rule (UCMR 5) and the PFAS National Primary Drinking Water Regulation [1] [3].</p><h5><strong>EPA Method 1633</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/preparing-diverse-sample-matrices-for-epa-method-1633"><strong>EPA Method 1633</strong></a>, released in 2024, represents a significant advancement in PFAS analysis:</p><ul><li>Developed for the analysis of <strong>40 PFAS compounds </strong>in various matrices, including surface water, groundwater, wastewater, soil, biosolids, sediment, landfill leachate, and fish tissue</li><li>Expands beyond the drinking water focus of Methods 533 and 537.1</li><li>Provides a standardized approach that may replace modified drinking water methods (i.e., modified EPA 537) that were previously used for non-drinking water matrices [1]</li></ul><h4><strong>Conventional Analytical Techniques</strong></h4><p>The gold standard for PFAS analysis involves chromatographic techniques coupled with mass spectrometry:</p><ul><li>Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) is the most widely used method for PFAS analysis, offering high sensitivity and specificity [1]</li><li>High-Resolution Mass Spectrometry (HRMS) allows for rapid detection and identification of PFAS species at very low concentrations [5]</li></ul><p>These techniques can detect PFAS at parts per trillion (ppt) levels, which is essential given the low concentrations at which PFAS can cause health effects [1]. However, these methods require sophisticated equipment, specialized training, and significant financial resources, making them inaccessible in many regions, particularly in developing countries.</p><h4><strong>Emerging Detection Technologies</strong></h4><p>Several innovative approaches are being developed to address the limitations of conventional methods:</p><ul><li>Electrochemical biosensors using modified electrodes have shown promise for selective PFAS detection with low detection limits [2]</li><li>Surface-Enhanced Raman Spectroscopy (SERS) uses metallic nanoparticles and can be made into a portable method for on-site testing [1]</li><li>Molecular imprinted polymers (MIPs) offer thermal and physical stability, reusability, and low-cost synthesis for PFAS detection [6]</li></ul><p>These emerging technologies aim to provide more accessible, field-deployable, and cost-effective alternatives to traditional laboratory-based methods.</p><h3><strong>Challenges in PFAS Detection</strong></h3><h4><strong>Analytical Challenges</strong></h4><p>Detecting PFAS presents several technical challenges:</p><ul><li>The ubiquity of PFAS in laboratory equipment and accessories can lead to background contamination when measuring at parts-per-trillion levels [1]</li><li>Many components in liquid chromatographs, mass spectrometers, and solid-phase extraction systems contain materials that can leach PFAS compounds [9]</li><li>The vast number of PFAS (thousands of compounds) makes comprehensive detection difficult, as analytical standards are only available for a small subset [1]</li><li>Complex matrices like food and environmental samples require sophisticated sample preparation techniques</li></ul><h4><strong>Global Disparities in Detection Capabilities</strong></h4><p>Access to PFAS detection technology varies significantly worldwide:</p><ul><li>Many developing regions, particularly in Africa, lack adequately equipped laboratories with the necessary instrumentation to detect and measure PFAS</li><li>There is often a scarcity of qualified professionals with experience in PFAS analysis in these regions</li><li>The high cost of acquiring and maintaining sophisticated analytical instruments presents a substantial obstacle to conducting extensive PFAS investigations in resource-limited settings [1]</li><li>Competing priorities such as infectious diseases, poverty, and food security often divert attention and resources from environmental pollutants like PFAS</li></ul><h4><strong>Regulatory Landscape and Compliance</strong></h4><p>The regulatory framework for PFAS is evolving rapidly worldwide:</p><ul><li>The EPA finalized Section 8(a)(7) of the Toxic Substances Control Act in September 2024, requiring manufacturers and importers to report on their use of PFAS since 2011 [10]</li><li>Electronic reporting for PFAS will open on July 11, 2025, with final reporting deadlines in 2026</li><li>Companies must report detailed information including chemical identity, production volumes, industrial and consumer products, worker exposure, and disposal methods [10]</li></ul><p>These regulations are driving demand for more effective and accessible PFAS detection methods to ensure compliance and protect public health.</p><h3><strong>Future Directions in PFAS Detection</strong></h3><h4><strong>Technological Advancements</strong></h4><p>The future of PFAS detection lies in developing more accessible, sensitive, and comprehensive methods:</p><ul><li>Non-targeted screening methods that can identify unknown PFAS compounds without requiring analytical standards for each specific compound</li><li>Total fluorine analysis techniques like Adsorbable Organic Fluorine and Total Oxidizable Precursor Assay that can quantify the presence of fluorine atoms within a sample [1]</li><li>Portable sensors and field-deployable technologies that enable on-site monitoring and rapid response to contamination events</li><li>AI-driven solutions that can improve data analysis and interpretation for complex PFAS mixtures</li></ul><h4><strong>Collaborative Approaches</strong></h4><p>Addressing the global challenge of PFAS detection requires coordinated efforts:</p><ul><li>International partnerships between researchers in developed and developing regions to enhance expertise and capacity building</li><li>Standardization of analytical methods to ensure consistency and comparability of results across different laboratories and regions</li><li>Open data sharing and collaboration across countries to leverage collective knowledge and resources</li><li>Integration of PFAS monitoring into broader environmental and public health surveillance systems</li></ul><h3><strong>Conclusion</strong></h3><p>The detection of PFAS is not merely a technical challenge but a critical public health and environmental imperative [1]. As these "forever chemicals" continue to persist in our environment, developing effective, accessible, and comprehensive detection methods becomes increasingly important. By advancing detection technologies, strengthening regulatory frameworks, and fostering global collaboration, we can better understand, monitor, and ultimately mitigate the impacts of PFAS contamination.</p><p>The EPA's standardized methods (533, 537.1, and 1633) provide crucial tools for monitoring PFAS in various environmental matrices, but continued innovation is needed to address the full spectrum of PFAS compounds and to make detection more accessible globally [1] [6]. The path forward requires sustained investment in research and development, capacity building in resource-limited settings, and a commitment to environmental justice that ensures all communities have access to the tools and information needed to protect themselves from PFAS exposure. Only through such comprehensive approaches can we hope to address the complex challenges posed by these persistent pollutants.</p><p><span>Be sure to check out our other installments of our&nbsp;</span><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/introducing-our-environmental-contaminants-series-making-sense-of-the-alphabet-soup"><span>Environmental Contaminant Series</span></a><span>&nbsp;covering&nbsp;</span><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/the-importance-of-detecting-persistent-organic-pollutants-pops"><span>Persistent Organic Pollutants (POPs)</span></a><span>,&nbsp;</span><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/the-importance-of-detecting-polycyclic-aromatic-hydrocarbons-pahs"><span>Polycyclic Aromatic Hydrocarbons (PAHs)</span></a><span>,&nbsp;</span><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/the-importance-of-detecting-semi-volatile-organic-compounds-svocs"><span>Semi-Volatile Organic Compounds (SVOCs)</span></a><span>, and </span><a target="_blank" rel="noopener noreferrer" href="https://blog.organomation.com/blog/the-importance-of-detecting-polychlorinated-biphenyls-pcbs"><span>Polychlorinated Biphenyls (PCBs)</span></a><span>.</span></p>

The Importance of Detecting Per- and Polyfluoroalkyl Substances (PFAS)

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Mestrelab Mnova ElViS software

By integrating Mnova ElViS into your analytical workflows, you can enhance the efficiency and accuracy of your spectroscopic data analysis across a wide range of techniques.

<h4><strong>Visualize, process, analyze and report various electronic and vibrational spectroscopic techniques</strong></h4><p>Carry out the analysis of various optical spectroscopy data including ultraviolet and visible (UV/Vis), near and mid infrared (NIR/MIR), Raman, fluorescence, and other spectroscopic methods operating in the whole region of wavelength from 100 nm to 100 µm.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li>Spectroscopic processing and analysis of ultraviolet and visible (UV/Vis), near and mid infrared (NIR/MIR), Raman, fluorescence methods.</li><li>Vendor and Operating System agnostic, supports most data file formats.</li><li>Wide range of processing functions, including a dynamic processing template.</li><li>Manual and automatic peak picking analysis.</li><li>Data Analysis of stacked/arrayed spectra.&nbsp;</li></ul><h4><strong>Features:</strong></h4><h5><strong data-start="1039" data-end="1108">PLS-Based Baseline Correction Tool (IarPLS)</strong></h5><p>To improve the processing of electronic and vibrational spectroscopy data, Mnova 15 introduces an enhanced PLS-based baseline correction tool, IarPLS (penalized-least-squares based). It now features an automatic button to compute the near-optimal asymmetry parameter.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_PLS_Based_Baseline_Correction_Tool_Iar_PLS_f3180f6927.webp" alt="Mestrelab Research: Mnova EIVis - PLS-Based Baseline Correction Tool (IarPLS)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_PLS_Based_Baseline_Correction_Tool_Iar_PLS_f3180f6927.webp 245w," sizes="100vw" width="1500" height="845"></p><h5><strong>Normalization Processing Modes</strong></h5><p>Three Normalization Processing modes, namely Largest Peak, Integral and Vector Length are available in Mnova 15. These three features aim to simplify the baseline correction process, streamline your workflow, and provide a rapid method for normalizing data to address quantitative issues.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Normalization_Processing_Modes_675cb7c407.webp" alt="Mestrelab Research: Mnova EIVis - Normalization Processing Modes" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Normalization_Processing_Modes_675cb7c407.webp 245w," sizes="100vw" width="1500" height="844"></p><h5><strong>Electronic and Vibrational Spectroscopies supported file formats</strong></h5><p>Mnova ElViS supports the most frequently used data file formats for these analytical techniques, including import and export of single and multi-column matrix-like spectra (i.e., ASCII XY and XYY, as .txt or .csv files). Supported formats include SPC (Galactic), JCAMP-DX, OPUS (Bruker), SPA and SPG (Omnic), Perkin Elmer's .sp files, and ASCII (XY and XYY).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Electronic_and_Vibrational_Spectroscopies_supported_file_formats_bb6afc3eab.webp" alt="Mestrelab Research: Mnova EIVis - Electronic and Vibrational Spectroscopies supported file formats" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Electronic_and_Vibrational_Spectroscopies_supported_file_formats_bb6afc3eab.webp 245w," sizes="100vw" width="1500" height="910"></p><h5><strong>Manual &amp; automatic spectral analysis</strong></h5><p>Mnova ElViS provides both manual and automatic peak picking, offering flexibility and convenience in your spectral analysis. It also features advanced tools for the analysis of stacked or arrayed spectra, ensuring thorough data evaluation and interpretation for all your spectral needs.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Manual_and_automatic_spectral_analysis_e24a19a151.webp" alt="Mestrelab Research: Mnova EIVis - Manual &amp; automatic spectral analysis" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Manual_and_automatic_spectral_analysis_e24a19a151.webp 240w," sizes="100vw" width="940" height="611"></p><h5><strong>Main processing features</strong></h5><p>Mnova ElViS comes with a range of useful processing features, including Multiplicative Scatter Correction, Probabilistic Quotient Normalization, Baseline correction (both automatic IarPLS and tailored Multipoint Baseline Correction), several smoothing techniques (such as Savitzky-Golay, Nonlocal Means, Exponential), normalization and Standard Normal Variate (SNV), derivatives, and units conversion between absorbance and transmittance.<br><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Main_processing_features_bc6eb64b99.webp" alt="Mestrelab Research: Mnova EIVis - Main processing features" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Main_processing_features_bc6eb64b99.webp 245w," sizes="100vw" width="1074" height="581"></p>

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News from LabRulezLCMS Library - Week 36, 2026