<h4>CEITEC MUNI contributes to setting an international standard for research on intrinsically disordered proteins</h4>Until about twenty years ago, scientists often dismissed them as “experimental problems” or “artefacts.” They were simply too chaotic and did not fit the prevailing view of proteins as molecules with a stable three-dimensional structure that determines their function. Today, however, research on intrinsically disordered proteins (IDPs) is one of the fastest-growing fields in molecular biology.&nbsp;Surprisingly, around one third of all proteins in the human body belong to this category, playing essential roles in how cells function. Yet they have one defining feature that long hindered their study: they lack a fixed structure and constantly change shape. For this reason, they remained overlooked for many years.<h3>Proteins That Break the Rules of Classical Biology</h3>Most well-known proteins act like precisely engineered molecular machines, with clearly defined shapes linked to specific functions. Intrinsically disordered proteins are different – they behave more like spaghetti than traditional molecular “machines.” They cannot be crystallised, are difficult to visualise using electron microscopy, and appear to challenge the structural principles of biochemistry.This does not make them any less important. On the contrary, they are involved in the regulation of gene expression, cellular signalling, and processes whose disruption is linked to cancer and neurodegenerative diseases. A well-known example is α-synuclein. This protein does not have a fixed structure and can adopt different shapes depending on the context. One of these forms is associated with Parkinson’s disease, which is commemorated each year on 11 April. To understand the behaviour of proteins such as α-synuclein, entirely new approaches are required.<h3>Brno Expertise in a Global Effort</h3>Researchers <a target="_blank" rel="noopener noreferrer" href="https://www.ceitec.eu/pavel-kaderavek-ph-d/u91706">Pavel Kadeřávek</a> and <a target="_blank" rel="noopener noreferrer" href="https://www.ceitec.eu/prof-lukas-zidek-ph-d/u17604?page=publication">Lukáš Žídek</a> from CEITEC Masaryk University (MUNI) are part of a broad international community involving more than thirty institutions worldwide. Together, the researchers have developed a comprehensive framework for studying these elusive proteins. Their recommendations, published in the prestigious journal <a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41592-026-03003-2">Nature Methods</a>, summarise current experimental and computational approaches and establish a shared “language” that enables scientists to compare data, combine techniques, and work in a more coordinated way.CEITEC MUNI plays an important role in this effort thanks to its cutting-edge expertise in nuclear magnetic resonance (NMR) spectroscopy and computational methods – among the few techniques capable of capturing the behaviour of such flexible proteins.“For a long time, it was believed that a protein without a stable structure could not function. We now know that such proteins are abundant in the human body – and that they carry out some of the most important regulatory roles,” explains Lukáš Žídek from the Josef Dadok National NMR Centre at CEITEC MUNI. “We just need to study them differently.”<h3>Why Future Medicine Depends on These Dynamic Proteins</h3>A better understanding of intrinsically disordered proteins means a better understanding of how certain cancers develop, why proteins form pathological aggregates – as seen in Alzheimer’s or Parkinson’s disease – and how new drugs can be designed to target highly dynamic molecules.The new international framework will help science move forward in a more unified, faster, and reliable way. And CEITEC MUNI is part of this effort.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_3_64408a1dd3.jpg" alt="When Proteins Behave Like Spaghetti on a Plate: The ordered part of the protein – the “head” – with an attached wavy disordered region." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_3_64408a1dd3.jpg 245w," sizes="100vw" width="1600" height="806"><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_387b72a3be.jpg" alt="When Proteins Behave Like Spaghetti on a Plate: Atomic composition of an intrinsically disordered protein." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_387b72a3be.jpg 245w," sizes="100vw" width="1600" height="822"><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_4_ea85bf75ae.jpg" alt="When Proteins Behave Like Spaghetti on a Plate: Chemical bonds between atoms – shown in blue for the ordered region and in red for the disordered region." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_4_ea85bf75ae.jpg 245w," sizes="100vw" width="1600" height="781"><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_2_f4b05b3ca3.jpg" alt="When Proteins Behave Like Spaghetti on a Plate: Protein motion illustrated by overlapping frames." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_Kdyz_se_proteiny_chovaji_jako_spagety_na_taliri_2_f4b05b3ca3.jpg 245w," sizes="100vw" width="1600" height="764">

When Proteins Behave Like Spaghetti on a Plate 

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 27th April 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you application notes by Agilent Technologies, LECO, Shimadzu, and Thermo Fisher Scientific!<h3>1. Agilent Technologies: Ethanol Impurity Analysis Using the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+3500">Agilent Cary 3500 Flexible UV-Vis Spectrophotometer</a></h3>The use of long-path-length cells in pharmaceutical QC<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_ethanol_impurity_analysis_cary_3500_flexible_uv_vis_5994_9041en_agilent_3980fa0dc8.pdf">Full PDF for download</a></li></ul>Ultraviolet-visible (UV-Vis) spectroscopy is a rapid, sensitive, and nondestructive test widely used in the pharmaceutical industry for quality control (QC). This method typically involves using a standard 10 mm path length cuvette to measure absorbance of materials, which can then be used in QC labs to quantify or qualify an analyte of interest.&nbsp;In UV-Vis measurements, the photometric response of the spectrophotometer follows the Beer‑Lambert law, where a linear relationship exists between the sample absorbance and sample path length. The path length is the distance that the incident light travels through a sample. Increasing the cuvette path length from 10 to 50 mm increases the absorbance of a sample, aiding in more accurate quantification of components with low peak intensity. Alternatively, if the sample concentration is high and exceeds the linear dynamic detection range of the system, a cuvette with a shorter path length can be used instead.1In the pharmaceutical industry, ethanol is widely used in manufacturing as a disinfectant, solvent, and preservative. Due to its amphipathic structure, ethanol can dissolve both hydrophilic and lipophilic substances, serving as a medium to dissolve key components for a broad spectrum of drug formulations. The dual nature of ethanol also allows it to inhibit microbial growth by disrupting cellular membranes and denaturing proteins, processes that are vital for disinfection and the preservation of&nbsp;medications.2&nbsp;As a result, ethanol used in pharmaceutical manufacturing must comply with pharmacopeia standards to ensure drug safety, efficacy, and quality. The United States Pharmacopeia (USP)3, European Pharmacopoeia (EP)4, and Japanese Pharmacopoeia (JP)5 all specify using an ultraviolet absorption test to measure impurities in ethanol at designated wavelengths (Table 1). In this test, the absorption spectrum should show a steadily descending curve with no observable peaks or shoulders, which serve as qualitative indicators of impurities present in the sample. Since the impurities have low absorbance levels, the USP, EP, and JP require the use of a 50 mm cell to improve sensitivity and detection levels.<h4>Conclusion&nbsp;</h4>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+3500">Agilent Cary 3500 Flexible UV-Vis spectrophotometer</a> with variable-path-length cell holder demonstrates exceptional performance in the measurement of ethanol impurities according to global pharmacopeia standards. This underscores the system's suitability for pharmaceutical‑grade quality control. Combined with Agilent Cary UV Workstation software and a 10-year xenon flash lamp replacement warranty, this system delivers a user-friendly interface and global pharmacopeia-compliant hardware (USP, EP, JP), providing long‑term stability and low maintenance. Optimized workflows enable precise, routine photometric quality checks to ensure products are in compliance with pharmaceutical-grade standards.<h3>2. LECO: Determination of Nitrogen/Protein in Whey and Powdered Dairy Products</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/FP_928_NITROGEN_PROTEIN_WHEY_POWDERED_DAIRY_203_821_671_1ecb5b0d95.pdf">Full PDF for download</a></li></ul>Two of the main types of proteins in milk are casein and whey. Whey protein is a co-product of cheese production and represents the water-soluble protein remaining in the solution after the milk has been acidified or a coagulation agent has been added. The removal of the non-soluble casein protein portion is referred to as curds. Whey protein is a common ingredient in many dietary supplements due to its availability, solubility, and unique functional characteristics.&nbsp;The accurate and precise determination of protein in whey and powdered dairy products not only plays a role in the characterization of nutritional or dietary value in dairy products, but may also be key in determining the quality or category of the dairy product. Protein in whey and other dairy products is most commonly calculated using the measured Nitrogen in the sample and a protein factor multiplier (protein factors vary according to the sample matrix).<h4>Instrument Model and Configuration&nbsp;</h4>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1885">LECO FP928</a> is a macro combustion Nitrogen/Protein determinator that utilizes a pure Oxygen environment in a high-temperature horizontal ceramic combustion furnace, utilizing ceramic boats designed to handle macro sample masses (~ 1.0 g). A thermoelectric cooler removes moisture from the combustion gases before they are collected in a ballast. The gases equilibrate and mix in the ballast before a representative aliquot (3 cm3 or 10 cm3 volume) of the gas is extracted and introduced into a flowing stream of inert carrier gas (Helium or Argon) for analysis. The aliquot of gas is carried through a heated reduction tube, filled with Copper, to convert Nitrogen Oxide combustion gas species (NOx) to Nitrogen (N2). The aliquot gas is then carried to a thermal conductivity cell (TC) for the detection of Nitrogen (N2).&nbsp;Thermal conductivity detectors work by detecting changes in the thermal conductivity of the analyte gas compared to a reference/carrier gas. The greater the difference between the thermal conductivity of the carrier gas and the analyte gas, the greater the sensitivity of the detector. The FP928 supports either the use of Helium or Argon as the instrument's carrier gas. When used as a carrier gas, Helium provides the highest sensitivity, and the best performance at the lower limit of the Nitrogen range. The thermal conductivity difference between Argon and Nitrogen is not as great as the thermal conductivity difference between Helium and Nitrogen; therefore, the detector is inherently less sensitive when using Argon as a carrier gas.<h4>TYPICAL RESULTS&nbsp;</h4>Data was generated utilizing a linear, force through origin calibration using ~0.75 g of LECO 502-896 (Lot 1007) LCRM EDTA (9.59% N). The calibration was verified using ~0.1 g of LECO 502-688 (Lot 1004) LCRM Nicotinic Acid (11.37% N). Samples were weighed and analyzed at ~0.5 grams. A protein † factor of 6.38 was used for all samples to calculate the protein content.<h3>3. Shimadzu: High-Temperature Gigacycle Fatigue Test of Inconel 718 and Element Distribution Measurement on a Fracture Surface</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01082_en_37d9ba3a1a.pdf">Full PDF for download</a></li></ul><h4>User Benefits</h4><ul><li>Fatigue testing at 20 kHz can be performed using an ultrasonic fatigue testing machine, and 109 cycle fatigue tests can be completed in about 14 hours.</li><li>High-temperature fatigue tests can be performed by using a combination of an ultrasonic fatigue testing system and an induction heating furnace.</li><li>The origins of fatigue fractures and inclusions can be identified by observations and element distribution measurements using an electron probe microanalyzer.</li></ul>Inconel 718 has excellent heat and corrosion resistance and high strength. Its mechanical properties can be maintained even under high-temperature environments, which is why it is used in harsh environments, such as in the jet engines and turbine blades in the aerospace industry, and in gas turbines and nuclear power plant parts in the energy industry. In these applications, long-term reliability is crucial, making fatigue testing essential. However, this can be time-consuming; for example, gigacycle fatigue testing exceeding 109 cycles takes three to four months at a frequency of 100 Hz when using a conventional fatigue testing machine. But with the USF-2000A ultrasonic fatigue testing system, tests performed at a frequency of 20 kHz can be completed in approximately 14 hours.&nbsp;This article describes using the USF-2000A to perform gigacycle fatigue tests on Inconel 718 at 600 °C. In addition, the EPMA8050G, which is an electron probe microanalyzer (EPMA ), was used to observe the fatigue fracture surfaces and measure the element distribution.<h4>Conclusion&nbsp;</h4>Gigacycle fatigue tests were performed on Inconel 718 at 600 °C, using the USF-2000A ultrasonic fatigue testing system. Good results were obtained since the number of cycles to fractures fell in the range 106 to 109 for their respective loading conditions. The EPMA-8050G electron probe microanalyzer was used to perform elemental mapping analysis of fractures originating from inclusions, and the elements of the inclusions were identified.<h3>4. Thermo Fisher Scientific: XPS depth profiling of coated nitrided steel using femtosecond laser ablation</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/xps_depth_profiling_coated_nitrided_steel_appnote_d19841e6c9.pdf">Full PDF for download</a></li></ul>X-ray photoelectron spectroscopy (XPS) is a powerful surface analysis technique that provides essential information about elemental composition along with chemical and electronic states. Depth profiling, a process in which material is repeatedly and sequentially analyzed with XPS and removed, provides access to buried features, layers, and interfaces. Traditional ion sputtering methods for depth profiling can, however, lead to preferential sputtering and chemical damage, impacting the reliability and accuracy of results. This is particularly problematic for complex, multi-layered structures and coatings, where it is crucial for the stoichiometry and chemical integrity to be maintained throughout the depth profile.&nbsp;This application note explores the use of femtosecond laser ablation (fs-LA) as an alternative to conventional ion sputtering for XPS depth profiling. Specifically, this approach is used to analyze a nitrided steel surface coated with a titanium-doped molybdenum disulfide (MoS₂:Ti) layer, which was applied with physical vapor deposition (PVD). Nitriding is typically used in applications where durability is critical, such as in the production of gears, as it increases surface hardness and wear resistance. The addition of a MoS₂:Ti coating offers additional benefits such as enhanced lubrication and wear resistance. Molybdenum disulfide is well-known for its lubricating properties, and doping with titanium improves mechanical strength and adhesion to the substrate. Accurate depth profiling is essential for unraveling how these structures increase performance and for their further optimization and improvement.<h4>Experimental</h4>A <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2206">Thermo Scientific™ Hypulse™ Surface Analysis System,</a> equipped with both traditional ion sputtering and fs-LA capabilities, was utilized for the analysis. XPS data was collected in SnapShot mode using a 30 µm X-ray spot size. A 500 eV monoatomic Ar⁺ beam from a Thermo Scientific™ MAGCIS™ Dual Beam Ion Source was used for sputter depth profiling. The fs-LA depth profiles were generated using a 1,030-nm laser operating at a 160 fs pulse length. The pulse energy was increased from 83 µJ to 250 µJ when transitioning from the MoS₂:Ti coating into the bulk steel material.<h4>Summary&nbsp;</h4>XPS depth profiling with femtosecond laser ablation offers a robust alternative to traditional ion sputtering, particularly for materials sensitive to preferential sputtering and chemical damage. The technique provides accurate stoichiometric analysis and preserves chemical state information, making it ideal for complex, multi-layered structures with deeply buried interfaces. The fs-LA method can offer comparable depth resolution to ion sputtering while being able to profile greater depths in a fraction of the time.&nbsp;This application note demonstrates the effectiveness of fs-LA in maintaining the chemical integrity of a nitrided steel material with a MoS₂:Ti coating throughout a depth profile, providing accurate and reliable results in a practical timeframe.

News from LabRulezICPMS Library - Week 18, 2026

🎤Monique MelloIn this episode of Concentrating on Chromatography, David sits down with Monique Mello, analytical chemist, educator, and LA-ICP-MS imaging specialist, to explore how laser ablation ICP-MS (LA-ICP-MS) and immuno-mass spectrometry imaging (iMSI) are transforming pathology, environmental science, and translational research.Monique shares her journey from public-health and pathology labs in Brazil to environmental and biomedical research in Australia — and explains why metrology, traceability, and defensible measurements are the foundation of meaningful science.We dive into her work developing multiplexed elemental imaging methods that allow researchers to quantify multiple proteins at once in tissue — revealing interactions that traditional single-marker methods miss. Her studies show how LA-ICP-MS can map dystrophin-glycoprotein complex proteins in muscular dystrophy and track elemental distributions like zinc in Alzheimer’s disease tissue.We also discuss something many labs overlook: sample preparation and immunolabelling can change the chemistry you’re trying to measure. Monique’s research demonstrates how staining steps can redistribute endogenous metals and why rigorous validation is critical for trustworthy data.If you care about chromatography, mass spectrometry, or analytical chemistry that genuinely impacts patients and communities, this episode is for you.<h5>In this conversation, we cover:</h5><ul><li>What LA-ICP-MS imaging is and how it works</li><li>Multiplexed antibody tagging with lanthanides for quantitative tissue imaging</li><li>Why metrology and uncertainty matter more than “pretty data”</li><li>Common analytical failures (and why sample prep causes most of them)</li><li>Elemental mapping in muscular dystrophy and Alzheimer’s research</li><li>How immunolabelling and coverslipping can perturb endogenous metals</li><li>Teaching analytical chemistry for real-world problem solving</li></ul><h3>Video Transcription</h3>Analytical chemistry sits at the intersection of science, decision-making, and trust. Whether applied in environmental monitoring, clinical research, or biological imaging, the reliability of analytical results determines how confidently we can interpret data and act on it.In a recent expert discussion, key themes emerged that resonate strongly across the analytical community—from the fundamentals of metrology to advanced techniques such as laser ablation ICP-MS (LA-ICP-MS). This article highlights the most important insights for scientists working with complex matrices, trace analysis, and high-impact data.<h4>Analytical Chemistry: Evidence Over Opinion</h4>At its core, analytical chemistry is about transforming observations into defensible, quantitative evidence. The use of calibrated methods—such as properly constructed calibration curves—ensures that measured values reflect reality as closely as possible.Reliable data is not just a technical outcome; it is a responsibility. Every result must be:<ul><li>Traceable</li><li>Accurate</li><li>Interpretable</li><li>Fit for decision-making</li></ul>When methods are robust, the sample itself “tells the truth.” The challenge lies in ensuring that nothing in the workflow distorts that message.<h4>Metrology: The Invisible Backbone of Data Quality</h4>Despite its importance, metrology is often overlooked outside specialized laboratories. This is largely because it operates silently—until something goes wrong.Several factors contribute to its underappreciation:<ul><li>Focus on novelty over measurement quality Scientific recognition often prioritizes new findings rather than data reliability.</li><li>Black-box instrumentation Modern instruments appear “plug-and-play,” leading to overconfidence in automatically generated results.</li><li>Confusion between precision and accuracy Repeatability does not guarantee correctness.</li><li>Complexity of uncertainty Concepts like uncertainty budgets and traceability are perceived as abstract or overly statistical.</li><li>Time and cost pressures Proper validation, use of certified reference materials (CRMs), and quality control require additional resources.</li></ul>Improving metrology awareness requires translating these concepts into practical laboratory workflows and emphasizing their direct impact on scientific conclusions.<h4>Where Analytical Methods Most Commonly Fail</h4>Failures in analytical workflows typically originate upstream—well before data processing or interpretation.<h5>1. Sample Preparation (Primary Source of Error)</h5>The majority of analytical errors arise during sample preparation, including:<ul><li>Contamination (reagents, labware, environment)</li><li>Poor recovery (adsorption, volatilization, filtration losses)</li><li>Matrix effects</li><li>Non-representative sampling</li><li>Lack of proper controls</li></ul>Errors introduced here propagate through the entire analytical chain.<h5>2. Data Interpretation</h5>Common issues include:<ul><li>Misuse or misunderstanding of calibration models</li><li>Ignoring instrumental drift</li><li>Overreliance on linearity without validation</li></ul><h5>3. Instrumentation</h5>Although often blamed, instruments are less frequently the root cause. Still, issues such as:<ul><li>Detector saturation</li><li>Carryover</li><li>Misalignment</li><li>Signal drift can significantly impact results.</li></ul><h5>Best Practices for Reliable and Defensible Data</h5>For early-career scientists and experienced analysts alike, several habits are essential:<ul><li>Document everything (lab notebooks, timestamps, workflows)</li><li>Standardize sample preparation procedures</li><li>Use quality controls (blanks, spikes, duplicates, CRMs)</li><li>Validate before analyzing samples</li><li>Avoid reusing calibration curves</li><li>Preserve raw data securely</li><li>Evaluate uncertainty and detection limits</li></ul>Strong documentation and consistent QC transform data from “results” into defensible evidence.<h4>LA-ICP-MS: A Powerful Tool for Biological Imaging</h4>Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) represents a significant advancement in analytical capabilities—particularly for spatially resolved analysis.<h5>Key Advantages</h5><ul><li>Direct analysis of solid samples (no digestion required)</li><li>Preservation of spatial information</li><li>Simultaneous multi-element detection</li><li>Quantitative imaging of biological tissues</li></ul>In biological applications, LA-ICP-MS enables researchers to:<ul><li>Map the distribution of biomolecules or metals in tissues</li><li>Study interactions in situ</li><li>Combine spatial and quantitative information</li></ul>For example, multiplex imaging allows simultaneous observation of multiple targets, providing a more realistic representation of biological systems compared to single-marker approaches.<h4>Multiplex Imaging vs. Single-Marker Analysis</h4>Traditional methods often focus on one analyte at a time. However, biological systems are inherently complex and interactive.Multiplex approaches enable:<ul><li>Co-localization analysis</li><li>Detection of interactions between biomolecules</li><li>Identification of spatial heterogeneity</li></ul>This is particularly critical in disease research, where:<ul><li>Single-marker data may lead to misleading conclusions</li><li>Multi-target analysis reveals underlying biological mechanisms</li></ul><h4>Applications in Disease Research: The Case of Metal Distribution</h4>In neurodegenerative diseases such as Alzheimer’s, total elemental concentration alone is insufficient.For example:<ul><li>Zinc may be present at similar total levels in healthy and diseased tissue</li><li>However, its spatial distribution changes significantly, forming localized clusters</li></ul>Elemental mapping therefore provides:<ul><li>Insight into disease progression</li><li>Potential diagnostic markers</li><li>Support for targeted therapeutic strategies</li></ul><h4>Lessons from Environmental Analysis</h4>Environmental chemistry offers valuable principles applicable across analytical disciplines:<ul><li>Treat complex matrices with caution</li><li>Control contamination rigorously</li><li>Ensure representative sampling</li><li>Validate methods with appropriate standards</li></ul><blockquote>One key takeaway: A linear calibration curve does not guarantee accuracy—traceability does.</blockquote><h4>Sample Preparation: The Most Underrated Investment</h4>Laboratories often prioritize instrumentation over sample preparation, but this is a critical imbalance.Key recommendations:<ul><li>Treat sample preparation as part of the analytical system</li><li>Invest in method development and training</li><li>Routinely verify performance (blanks, drift, recovery)</li><li>Maintain strict adherence to SOPs</li></ul>Poor sample preparation cannot be corrected downstream—even with the most advanced instrumentation.<h4>Scientific Continuity and Data Integrity</h4>A less-discussed challenge in analytical science is the loss of continuity:<ul><li>Staff turnover</li><li>Incomplete documentation</li><li>Fragmented datasets</li></ul>This leads to:<ul><li>Repetition of work</li><li>Loss of knowledge</li><li>Reduced reproducibility</li></ul>Robust documentation and standardized workflows are essential to ensure that research progress is cumulative rather than cyclical.<h4>Mindset for the Next Generation of Analytical Scientists</h4>To produce impactful and trustworthy work, scientists should adopt the following principles:<ul><li>Resilience – experiments fail; learning continues</li><li>Critical thinking – understand every step, not just follow protocols</li><li>Curiosity – always ask “why”</li><li>Impact awareness – consider who benefits from your data</li><li>Respect for fundamentals – QC, documentation, and preparation matter most</li></ul>Analytical chemistry is not just about generating numbers—it is about generating truth.<h4>Conclusion</h4>From metrology and sample preparation to advanced imaging techniques like LA-ICP-MS, the strength of analytical science lies in its ability to produce reliable, interpretable, and actionable data.As analytical challenges grow more complex—especially in fields such as biomedicine and environmental science—the need for robust methodologies and critical thinking becomes even more essential.Ultimately, the value of analytical chemistry is measured not only by precision, but by the confidence we place in the decisions it enables.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote><blockquote><h4>Concentrating on Chromatography Podcast</h4>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!You can find Concentrating on Chromatography Podcast in podcast apps:<ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL">Spotify</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185">Apple podcast</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography">podscan</a></li></ul>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos">YouTube channel</a></blockquote>

How LA-ICP-MS Imaging Reveals Disease in Tissue

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Since its establishment in 2011, CEITEC has quickly developed into a cutting-edge infrastructure for research which performs highly alongside the best institutes in Europe. Among the main priorities of CEITEC are the promotion of a motivating and dynamic international scientific environment, the provision of state-of-the-art research infrastructure, and the policy of open communication and equal opportunities.

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Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

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Waters Aura+ System for particle characterization

Fast, decisive particle characterization for biologics. Aura+ delivers high-throughput, 5 µL analysis with BMI and FMM imaging for proteins, antibodies, and cell/gene therapies.

<h4>Fast, decisive, low-volume particle characterization analysis for biotherapeutic workflows</h4>When you need the flexibility to conduct particle characterization analyses on different types of biologics, including protein and antibody therapeutics, cell therapies, and gene therapies, the Aura+ System has you covered.Fully configured to support applications across protein, antibody, cell, and gene therapy workflows, Aura+ brings particle characterization to earlier stages of therapeutic development, so you can make better decisions sooner.Powered by the backgrounded membrane imaging (BMI) and fluorescence membrane microscopy (FMM) technology shared within the Aura family of instruments, Aura+ System enables applications from late discovery to development and manufacturing, enhancing decision-making and accelerating your success.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Aura_System_18b9a5e9f5.jpg" alt="Waters: Aura+ System" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Aura_System_18b9a5e9f5.jpg 234w," sizes="100vw" width="1024" height="682"><h4>Specifications</h4><ul><li>Imaging area: 24.6 mm2</li><li>Optics: 4x and 20x objectives</li><li>Minimum volume: 5 µL (assay dependent)</li><li>Resolution: 1.0 pixel/µm</li><li>Detectable size range: Range from &gt;1 µm (ECD) to &lt;5 mm (ECD)</li><li>BMI read time: 1 minute/sample</li><li>FMM read time: 3 FL channels, 30 seconds/sample</li><li>Software: Particle VUE 4.x all-in-one software suite (image capture and analysis)</li></ul><h4>Overview</h4><ul><li>Save precious material with just 5 µL sample volume requirements&nbsp;</li><li>Get actionable results from a full 96 well plate of labeled samples to data in just 90 minutes</li><li>Boost efficiency with 96-well membrane plate high-throughput capability</li><li>Gain deeper particle insights with advanced imaging</li><li>Rely only on one platform for proteins, antibodies, and cell and gene therapies development</li></ul>Recommended Use: For workflows requiring complete flexibility across a full spectrum of analytes, including biologics, viral vectors, cells, and other contaminants.​<h4>Take the guesswork out of your aggregate ID</h4>Don’t waste time troubleshooting incorrectly identified aggregates in your therapeutic. Aura+ System uses a combination of brightfield and fluorescent imaging to specifically ID and quantitate cell, viral capsid, protein, degraded excipients, and packaging contaminants so you’ll know exactly what’s in your sample.​With high-throughput 96-well plate capability, 5 µL sample volumes, and results in as little as 90 minutes, it offers an efficient solution for detailed particle analysis, meeting USP &lt;788&gt; and &lt;1788&gt; requirements.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Aura_Identify_cell_doublets_and_triplets_1_cellular_aggregates_2_protein_aggregates_3_and_plastic_contaminants_4_in_a_cell_therapeutic_sample_5227e05a6d.jpg" alt="Waters: Aura+ System - Identify cell doublets and triplets (1), cellular aggregates (2), protein aggregates (3), and plastic contaminants (4) in a cell therapeutic sample." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Aura_Identify_cell_doublets_and_triplets_1_cellular_aggregates_2_protein_aggregates_3_and_plastic_contaminants_4_in_a_cell_therapeutic_sample_5227e05a6d.jpg 234w," sizes="100vw" width="1024" height="682"><h4>BMI: The key to sensitive, robust, early-stage particle characterization</h4>Backgrounded membrane imaging (BMI) provides a clearer, faster, and more comprehensive view of what’s really in your sample. By capturing and subtracting background images of the membrane, BMI achieves 10x greater contrast than liquid-based measurements such as light obscuration and flow imaging. Aura+ System provides aggregate data without any clogging concerns or the need for cleaning between measurements.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Aura_BMI_achieves_10x_greater_contrast_than_liquid_based_measurements_such_as_light_obscuration_and_flow_imaging_06d3a7349c.jpg" alt="Waters: Aura+ System - BMI achieves 10x greater contrast than liquid-based measurements such as light obscuration and flow imaging." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Aura_BMI_achieves_10x_greater_contrast_than_liquid_based_measurements_such_as_light_obscuration_and_flow_imaging_06d3a7349c.jpg 234w," sizes="100vw" width="1024" height="682"><h4>Get fast, definitive particle identification with three fluorescence channels</h4>The Aura+ System comes with three fluorescence channels so you can get the same information from one experiment that would otherwise take three different studies.In addition, The Aura+ System definitively identifies different types of particles within the same sample for more reliable decision-making:<ul><li>Three fluorescence membrane microscopy (FMM) channels for three different species of organic particles</li><li>Side illumination membrane imaging (SIMI) channel for extrinsic and inorganic particles</li><li>Ideal for applications including polysorbate degradation, particulate contamination, protein &amp; antibody workflows, cell therapy workflows, AAV aggregation, AAV stability, cell therapy QC, and cell viability</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Aura_Cells_protein_aggregate_and_ig_G_via_immunoassay_6c3e43ecc4.jpg" alt="Waters: Aura+ System - Cells, protein aggregate, and igG (via immunoassay)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Aura_Cells_protein_aggregate_and_ig_G_via_immunoassay_6c3e43ecc4.jpg 234w," sizes="100vw" width="1024" height="682"><h4>Obtain clear details with high magnification</h4>With the high magnification capabilities of the Aura+ System, you can see more morphological detail of unlabeled particles, enabling decisive discrimination between your lead and undesirable particles.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_Aura_Quickly_differentiate_and_enumerate_cells_versus_Dynabeads_quantify_polysorbate_degradation_and_more_b3e24050f2.jpg" alt="Waters: Aura+ System - Quickly differentiate and enumerate cells versus Dynabeads™, quantify polysorbate degradation, and more." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_Aura_Quickly_differentiate_and_enumerate_cells_versus_Dynabeads_quantify_polysorbate_degradation_and_more_b3e24050f2.jpg 234w," sizes="100vw" width="1024" height="682">

Products focused on Particle characterization - page 1

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