<p><strong>Jiří Nováček, a researcher and the deputy director for research infrastructure at CEITEC Masaryk University, shares insights into his journey with Brnoregion Microscopy. Sparked by a conversation with Jan Neuman, Nováček saw the potential of integrating Atomic Force Microscopy (AFM) into life-science electron microscopy. Today, he plays an active role in the community, collaborating with colleagues to enhance educational initiatives.&nbsp;</strong></p><h4><strong>How did you become involved with Brnoregion Microscopy?</strong></h4><p>My involvement with Brnoregion Microscopy began through my interaction with <a target="_blank" rel="noopener noreferrer" href="https://brnoregion.com/en/news/people-of-brnoregion-microscopy-jan-neuman-nenovis">Jan Neuman</a>. We were discussing the potential applications of their integrated Atomic Force Microscopy (AFM) module in the field of life-science electron microscopy. I was immediately intrigued by the idea of forming a microscopy community and saw great potential in it. Jan's vision of fostering stronger local connections among colleagues with complementary expertise resonated with me. This alignment of interests and the shared goal of advancing our understanding and capabilities in microscopy made me eager to join and contribute to the community.&nbsp;</p><h4><strong>What role do you play in the community?</strong></h4><p>Currently, I am an active member of the Community working group within Brnoregion Microscopy. In this role, I collaborate closely with Tomáš Vystavěl from Thermo Fischer Scientific on various educational initiatives. Our focus is on enhancing the educational aspects of the Microscopy community, looking for opportunities for deepening the knowledge and skills in the area of microscopy in our region. It's a rewarding experience to be part of a team that is dedicated to fostering learning and innovation in this field.&nbsp;</p><h4><strong>What benefits does it bring to you?</strong></h4><p>Being part of the Microscopy community has been incredibly enriching for me. It provides a platform for continuous learning and exposure to the latest advancements in microscopy technology and techniques. Working together stimulates new ideas and approaches, which are key to our ongoing development. Additionally, it offers the opportunity to network with experts and peers, opening doors to potential collaborations and projects. That’s how it works in our local innovation ecosystem… &nbsp;</p><h4><strong>Do you have any message for the community?</strong></h4><p>Whether you're already involved or just curious, join the upcoming <a target="_blank" rel="noopener noreferrer" href="https://brnoregion.com/en/events/120-seconds-meet-brnoregion-microscopy-24-11">120 seconds: Meet Brnoregion Microscopy</a> event. It's a fantastic opportunity to see first-hand how the Microscopy community can benefit you. These events are designed to showcase the practical applications of microscopy and the innovative work being done by our members.&nbsp;</p>

People of Brnoregion Microscopy: Jiří Nováček (CEITEC MUNI)

<p><strong>In the week from January 20, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><p><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></p><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>4 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Anton Paar: Fundamentals of Scratch</strong></h5><div><div><ul><li><div>Tu, 21.1.2025 20:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4449">Registration</a></div></li></ul></div><p>This webinar provides a thorough introduction to the theory and practice of instrumented scratch testing, a critical method for evaluating the mechanical properties of materials under stress.</p></div><h5><strong>2.&nbsp;Mettler-Toledo: Advanced Inspection of Canned Goods with X-ray Inspection</strong></h5><div><div><ul><li><div>We, 22.1.2025 09:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4658">Registration</a></div></li></ul></div><p>Join our webinar to discover the wide range of benefits that x-ray inspection offers canned applications - including advanced detection capabilities and integrity and completeness checks.</p></div><h5><strong>3.&nbsp;Bruker: Nanoscale Chemical Characterization of Semiconductor Materials and Devices using Photothermal AFM-IR</strong></h5><div><div><ul><li><div>We, 22.1.2025 17:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4681">Registration</a></div></li></ul></div><p>In this webinar, Bruker nanoscale IR spectroscopy experts show how photothermal AFM-IR can identify the local chemistry of defects.</p></div><h5><strong>4.&nbsp;Agilent Technologies: Using LDIR for Advanced Microplastics Characterization</strong></h5><div><div><ul><li><div>Th, 23.1.2025 09:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4683">Registration</a></div></li></ul></div><p>This session will highlight the advanced features of LDIR technology and its critical applications in analyzing microplastics within various matrices.</p></div><h5><strong>5.&nbsp;LECO: Optimization of Combustion Methods for Determination of Low-Level Nitrogen-Protein in Food</strong></h5><div><div><ul><li><div>Th, 23.1.2025 16:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4686">Registration</a></div></li></ul></div><p>In this webinar, Lloyd Allen, Ph.D., LECO's Director of the Technical Services Laboratory, will share practical insights on overcoming challenges using advanced combustion instruments.</p></div><h5><strong>6.&nbsp;Agilent Technologies: Different Cones / Nebulizers / Sample Introduction Systems .. Where and When to Use them</strong></h5><div><div><ul><li><div>Th, 23.1.2025 20:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4546">Registration</a></div></li></ul></div><p>Different Cones / Nebulizers / Sample Introduction Systems .. Where and When to Use them</p></div>

Webinars LabRulezICPMS Week 4/2025

<p><strong>The goal of this study is to advance molecular epidemiology by integrating and analyzing large-scale population data from two complementary platforms: quantitative NMR spectroscopy for 209 lipoprotein measures and LC-MS/MS for 809 lipid classes and species. Together, these datasets encompass 1018 molecular measures across 7830 participants from two population cohorts. The study aims to elucidate the molecular and compositional relationships within the circulatory lipid transport system and their connections to physiological and clinical characteristics.</strong></p><p>Through cluster analyses and unsupervised neural network techniques (self-organizing maps), the study identifies inherent links between deep molecular data and population health traits, including cardiometabolic risk factors such as lipoprotein lipids, apolipoprotein B, ceramides, and oxidized lipids. Notable findings include the consistent cardiometabolic risk associations of triglyceride species across the lipoprotein cascade and the intricate metabolic profiles of cholesteryl ester species, which vary in their risk implications. This work highlights the unprecedented detail and compatibility of combined omics methodologies, paving the way for comprehensive molecular insights and new opportunities in large-scale population health studies.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229"><strong>Personalized Profiling of Lipoprotein and Lipid Metabolism Based on 1018 Measures from Combined Quantitative NMR and LC-MS/MS Platforms</strong></a></h4><p>Siyu Zhao, Corey Giles, Kevin Huynh, Johannes Kettunen, Marjo-Riitta Järvelin, Mika Kähönen, Jorma Viikari, Terho Lehtimäki, Olli T. Raitakari, Peter J. Meikle, Ville-Petteri Mäkinen, Mika Ala-Korpela</p><p>Analytical Chemistry, Vol 96/Issue 52</p><p><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229">https://doi.org/10.1021/acs.analchem.4c03229</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p>&nbsp;</p><p class="cke-user_style-important"><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><h3><strong>Abstract</strong></h3><p>Applications of advanced omics methodologies are increasingly popular in biomedicine. However, large-scale studies aiming at clinical translation are typically siloed to single technologies. Here, we present the first comprehensive large-scale population data combining 209 lipoprotein measures from a quantitative NMR spectroscopy platform and 809 lipid classes and species from a quantitative LC-MS/MS platform. These data with 1018 molecular measures were analyzed in two population cohorts totaling 7830 participants. The association and cluster analyses revealed excellent coherence between the methodologically independent data domains and confirmed their quantitative compatibility and suitability for large-scale studies. The analyses elucidated the detailed molecular characteristics of the heterogeneous circulatory macromolecular lipid transport system and the underlying structural and compositional relationships. Unsupervised neural network analysis─the so-called self-organizing maps (SOMs)─revealed that these deep molecular and metabolic data are inherently related to key physiological and clinical population characteristics. The data-driven population subgroups uncovered marked differences in the population distribution of multiple cardiometabolic risk factors. These include, e.g., multiple lipoprotein lipids, apolipoprotein B, ceramides, and oxidized lipids. All 79 structurally unique triglyceride species showed similar associations over the entire lipoprotein cascade and indicated systematically increased risk for carotid intima media thickening and other atherosclerosis risk factors, including obesity and inflammation. The metabolic attributes for 27 individual cholesteryl ester species, which formed six distinct clusters, were more intricate with associations both with higher─e.g., CE(16:1)─and lower─e.g., CE(20:4)─cardiometabolic risk. The molecular details provided by these combined data are unprecedented for molecular epidemiology and demonstrate a new potential avenue for population studies.</p><p>Lipoprotein lipids have had a central role in clinical risk assessment for cardiometabolic diseases since the 1950s. <a href="javascript:void(0);" aria-label="reference 1">(1)</a> The realization that <sup>1</sup>H NMR spectroscopy would be inherently suited for lipoprotein analytics took place in the early 1990s. <a href="javascript:void(0);" aria-label="reference 2">(2)</a> In addition to the fundamental advantages of <sup>1</sup>H NMR spectroscopy in producing quantitative data, the spherical monolayered structure of lipoprotein particles provides a compelling attribute that the chemical shifts of lipid molecules transported by these particles are dependent on the particle diameter. This phenomenon arises from the orientational order of the surface lipids and the resulting anisotropy of the magnetic susceptibility, and leads to distinctive particle size-dependent frequency shifts. This facilitates comprehensive lipoprotein analytics that is pertinent to the metabolic constituents of the lipoprotein cascade. Practical applications and statistical considerations have indicated that 14 lipoprotein subclasses and their main lipid constituents can be robustly quantified. <a href="javascript:void(0);" aria-label="reference 3 and 4">(3,4)</a> Multiple commercial methodologies have also been developed. <a href="javascript:void(0);" aria-label="reference 5 to 7">(5−7)</a> Here we applied a platform that has been widely applied in large-scale epidemiology and genetics over the last 15 years with some 500 publications and 2 M samples analyzed, including all the 0.5 M serum samples in the UK Biobank. <a href="javascript:void(0);" aria-label="reference 3, 5 and 8">(3,5,8)</a> This particular platform has also played a key role in yielding open access genetic data, with the most recent genome-wide association study meta-analysis being carried out in 136,000 individuals. <a href="javascript:void(0);" aria-label="reference 9">(9)</a></p><p>Mass spectrometry based lipidomics methodologies have been developed independent of the above and are technologically more challenging than the applications of <sup>1</sup>H NMR spectroscopy. <a href="javascript:void(0);" aria-label="reference 10 to 12">(10−12)</a> Nevertheless, epidemiological applications have become feasible over the recent years and clinical translation has been suggested, for example, with respect to assessing cardiometabolic risk <a href="javascript:void(0);" aria-label="reference 13 and 14">(13,14)</a> and cognitive impairment. <a href="javascript:void(0);" aria-label="reference 15">(15)</a> Initial genetic studies have also been published. <a href="javascript:void(0);" aria-label="reference 16 and 17">(16,17)</a></p><p>The NMR spectroscopy and MS lipidomics approaches to lipid characterization and quantification are fundamentally different (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>). In NMR the serum sample is directly analyzed with the lipoprotein particles intact; this allows quantification of the comprehensive and specific data on the lipoprotein subclasses and lipids. <a href="javascript:void(0);" aria-label="reference 18">(18)</a> Unlike NMR, LC-MS/MS lipidomics calls for lipid extraction of the serum samples as an integral prerequisite for the analyses. <a href="javascript:void(0);" aria-label="reference 19">(19)</a> The lipidomics sample preparations thus represent pooled mixtures of all the lipid molecules from all the circulating lipoprotein particles. All the information from the specific lipoprotein origin of a certain lipid in the circulation is lost in the extraction phase. However, with LC-MS/MS hundreds of unique lipid species can be analyzed from dozens of different molecular lipid classes. <a href="javascript:void(0);" aria-label="reference 12 and 20">(12,20)</a></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2024_96_52_20362_20370_Figure_1_Schematic_illustration_of_the_methodological_differences_and_analytical_characteristics_between_1_H_NMR_and_LC_MSMS_lipidomics_and_their_molecular_views_into_serum_b9907a5e30.jpeg" alt="Anal. Chem. 2024, 96, 52, 20362-20370: Figure 1. Schematic illustration of the methodological differences and analytical characteristics between 1H NMR and LC-MS/MS lipidomics and their molecular views into serum lipids. (A) The lipoprotein analysis with NMR is performed directly from the intact serum sample. (B) For the LC-MS/MS analysis all the lipids need to be extracted to a homogeneous lipid-soluble mixture. This allows LC-MS/MS to reach detailed molecular quantification, however, as a total serum concentration without any information on the originating lipoproteins. (C,D) The NMR analysis gives molecular information on 14 lipoprotein subclasses with the abundant core and surface lipids quantified. The percentages depict the compositional variation of these lipids in different lipoprotein particles." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2024_96_52_20362_20370_Figure_1_Schematic_illustration_of_the_methodological_differences_and_analytical_characteristics_between_1_H_NMR_and_LC_MSMS_lipidomics_and_their_molecular_views_into_serum_b9907a5e30.jpeg 192w," sizes="100vw" width="947" height="771"></p><p>Lipoprotein particles are the sole transport vehicles for all lipid molecules in serum, <a href="javascript:void(0);" aria-label="reference 18, 21 and 22">(18,21,22)</a> though albumin contains the bulk of free fatty acids and acylcarnitines, and transports also various lyso-type of lipid molecules. <a href="javascript:void(0);" aria-label="reference 23 and 24">(23,24)</a> The NMR and the LC-MS/MS data on serum essentially represent the same lipids as noted by Ghorasaini et al. <a href="javascript:void(0);" aria-label="reference 25">(25)</a> The NMR provides the size-resolution and metabolic information on lipoprotein particles (209 measures) and the LC-MS/MS lipidomics opens up a prolific and detailed molecular view on all the circulating lipids (809 measures).</p><p>These different methodologies and molecular views to study serum lipids have independently advanced toward large-scale population studies. Here, we integrate these state-of-the-art data─over 1000 quantitative molecular lipid measures per individual─in two large-scale population cohorts of over 7800 participants. These data reveal the fundamental relationships between the lipoprotein subclass cascade and metabolism (NMR) and the plethora of specific molecular information (LC-MS/MS). The molecular and metabolic corollaries are numerous, and we elaborate on some pertinent findings. Among the various analyses we also demonstrate the admirable coherence within the independent experiments and data domains. It is also uncovered─via data-driven, unsupervised neural network analysis─that these molecular lipid measures per se can be utilized for metabolically and clinically meaningful subgrouping of populations. The results illustrate that these combined comprehensive data lead to improved molecular characterization of population-level metabolic health and cardiometabolic risk.</p><h3><strong>Materials and Methods</strong></h3><h5><strong><sup>1</sup>H NMR Spectroscopy</strong></h5><p>We applied an NMR platform that has been widely used in epidemiology and for which the general methodological issues have been published. <a href="javascript:void(0);" aria-label="reference 3, 5, 8, 9 and 18">(3,5,8,9,18)</a> The separation of lipoprotein subclasses by proton NMR spectroscopy is based on particle size, <a href="javascript:void(0);" aria-label="reference 2">(2)</a> the platform resolution being 14 subclasses (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229#fig2" data-tab="pane-pcw-Figures" id="">Figure 2</a>). <a href="javascript:void(0);" aria-label="reference 3 and 18">(3,18)</a> Independent verification for the number of subclasses has been published by Mihaleva and co-workers with an in-depth handling of statistical grounds. <a href="javascript:void(0);" aria-label="reference 4">(4)</a> Particle (P), phospholipid (PL), free cholesterol (FC), cholesteryl ester (CE), and triglyceride (TG) concentrations are quantified for all 14 subclasses, also allowing calculation of the relative lipid composition for each lipoprotein subclass. The platform also provides all key clinically used lipid measures (e.g., total TG, cholesterol, and HDL-C) as well as apolipoprotein B (apoB) and A-I (apoA-I) concentrations. In total 209 lipoprotein-related measures were analyzed (98 concentration and 70 compositional measures from 14 lipoprotein subclasses, 19 clinical lipid measures, and 22 measures related to fatty acids, average particle sizes, and apoA-I and apoB).</p><h5><strong>LC-MS/MS Mass Spectrometry</strong></h5><p>Serum lipids were extracted as previously described. <a href="javascript:void(0);" aria-label="reference 19">(19)</a> The LC-MS/MS profiling was performed using the standardized methodology described recently by Huynh et al. <a href="javascript:void(0);" aria-label="reference 12">(12)</a> and updated with a larger set of targets. The mass spectrometric details and parameters are given in the <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c03229/suppl_file/ac4c03229_si_001.pdf">Supporting Information</a>.</p><h3><strong>Conclusions</strong></h3><p>The presented combination of lipoprotein and lipid data from NMR spectroscopy and LC-MS/MS lipidomics led to an unprecedented metabolic and molecular detail with over 1000 measures per person in a population setting of over 7800 individuals. The analyses demonstrated notable coherence between the data from inherently different spectroscopic techniques. The data-driven analyses revealed multiple confirmatory and novel molecular results in relation to systemic lipid metabolism and illustrated the power of all-inclusive lipid data in understanding cardiometabolic population health, related clinical factors, and disease risk. The analyses emphasized the augmented value of interpreting lipidomics data (deep molecular phenotyping) together with lipoprotein data (deep metabolic phenotyping) and association heatmaps between all the lipidomics measures and the key measures characterizing lipoprotein subclass metabolism are provided. These unique motifs are useful as guidelines for the key lipoprotein mediators for various lipidomics associations in biomedical studies when comprehensive lipoprotein profiles are not available.</p>

Personalized Profiling of Lipoprotein and Lipid Metabolism Based on 1018 Measures from Combined Quantitative NMR and LC-MS/MS Platforms

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<p><strong>Focus will be given to the safety, authenticity and quality of food and beverages as well as the future of food products such as meat substitutes and alternative proteins.</strong></p>
<p>This online symposium will cover:</p>
<ul>
<li><strong>Untargeted food analysis using different MS platforms</strong></li>
<li><strong>Applications of near-infrared hyperspectral imaging in food quality control</strong></li>
<li><strong>Applications of behavioral science in food research</strong></li>
<li><strong>Solid phase micro-extraction for beverage analysis</strong></li>
<li><strong>Challenges and opportunities in fermentation for production of alternative proteins</strong></li>
<li><strong>ELNs to support data management in food and beverage labs</strong></li>
<li><strong>Key strategies for pesticide analysis using GC-MS</strong></li>
<li><strong>Nutritional and toxic plant-based elemental analysis using ICP-MS</strong></li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Brian Quinn, PhD (Head of Mass Spectrometry, Queen&#39;s University Belfast)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Vincent Baeten, PhD (Scientific Director, Walloon Agricultural Research Centre)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Michelle Niedziela, PhD (VP of Research &amp; Innovation, HCD Research)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Erich Leitner, PhD (Professor, Graz University of Technology)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Stefan Cretnik, PhD (Product Manager, PAL System)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Theresa Liao (Content Specialist, SciNote)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Wade Opperman (Manager of the Americas, SciNote)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Moran Farhi, PhD (VP of Research, The Better Meat Co.)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Liyan Xing, PhD (Senior Application Scientist, PerkinElmer)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Anastasia Andrianova, PhD (GC/MS Applications Scientist, Agilent Technologies)</p>
</blockquote>


Technology Networks: Advances in Food & Beverage Analysis 2023

Advances in Food & Beverage Analysis 2023

The third edition of this online symposium will provide industry and academic scientists with the opportunity to hear from experts from across the field.

<p><strong>Are you seeing a loss in sensitivity? Are your RSDs inconsistent? Are you facing instrument downtime issues due to need for frequent maintenance? These questions and many others have been observed by users and lead to hours of troubleshooting to find the cause of the problem.</strong></p>
<p>Using good quality appropriate supplies for applications and proper maintenance of different components in the workflow will help to achieve good quality data and enhance productivity.</p>
<p>In this webinar, we will discuss:</p>
<ul>
<li><p><strong>The function of all the critical components in the sample introduction system and workflow.</strong></p>
</li>
<li><p><strong>Using right kind of supplies for your applications.</strong></p>
</li>
<li><p><strong>Tips &amp; tricks on maintenance &amp; troubleshooting.</strong></p>
</li>
</ul>
<p>Attend all three sessions to get an e-certificate plus limited-time discount on selected supplies.</p>
<p>Note - Discounts are applicable for India only</p>
<blockquote>
<p><strong>Presenter:</strong> Dr. Rajni Mujoo (Technical Support Specialist, Chemistries &amp; Supplies Division<br/>Agilent Technologies)</p>
<p>Dr. Rajni is working with us as Technical Support Specialist in Chemistries and Supplies Division at Agilent Technologies since 2011. She has a Ph.D degree in Food Science from CFTRI, Mysore and Post Doctorate from Department Of Food Science, Michigan State University. She also has four International Presentations &amp; 13 publications in reputed National &amp; International journals to her credit. Rajni has a total work experience of 16 yrs spread across research and Sales building expertise in different Instrument techniques.</p>
</blockquote>


Agilent India - Excellence Lab Webinar Series-LC, GC and Spectroscopy Supplies

Boost Productivity of your Elemental Analysis with Spectroscopy Supplies

Components in the sample introduction system and workflow, using right supplies for your applications and tips & tricks on maintenance & troubleshooting.

Boost your Elemental Analysis with Spectroscopy Supplies

<h3><strong>Building a strong foundation for your analytical workflow</strong></h3>
<p>Your results are only as accurate as your reference. Within Pharma QC, whether you are performing dissolution testing or releasing finished goods, having accurate, reliable and fully characterized Reference Materials is critical. This webinar will provide viewers with an overview of key concepts relating to Reference Materials.</p>
<p>With a multitude of suppliers serving the industry – both compendial and commercial – there are myriad choices of Reference Materials available for a quality control laboratory. We will discuss how different quality grades are “fit for purpose,” best practices in Reference Material production, and what to look for in a Reference Material Certificate of Analysis.</p>
<p>We will also discuss a novel concept: fully characterized Certified Reference Materials (CRMs) qualified against compendial standards. These CRMs are designed to replace a laboratories in-house working standards and pair with a laboratory’s primary Reference Standards to form a strong, well-characterized and fully traceable Reference Material foundation.</p>
<h3><strong>Key Learning Objectives</strong></h3>
<ul>
<li>Understand how different Reference Material quality grades are fit-to-purpose</li>
<li>Provide key concepts in Reference Material manufacture and characterization</li>
<li>Detail Certificate of Analysis (CoA) key attributes that will be common across sources</li>
</ul>
<h3><strong>Audience</strong></h3>
<ul>
<li>Laboratory Directors</li>
<li>Pharmaceutical Quality Control (QC) Managers</li>
<li>Pharmaceutical Quality Control (QC) technicians</li>
</ul>
<blockquote>
<p><strong>Presenter: Michael Hurst (Product Manager - Reference Materials)</strong></p>
</blockquote>


Pixabay/Mizianitka: Reference Materials in Pharma QC

MilliporeSigma - Reference Materials in Pharma QC

<p><strong>Innovating for the future with cutting-edge solutions</strong></p><p><strong>Given the speed and scale of progress with Artificial Intelligence (AI) in today’s world, researchers and professionals across various scientific fields from the Danaher group of companies have stepped up in the game of AI and advanced technology to seek breakthrough solutions to age-old problems.</strong></p><h3><strong>Agenda</strong></h3><h5><strong>Introduction to Danaher</strong></h5><h5><strong>3D biology and the paradigm shift in next generation drug discovery</strong></h5><ul><li>Presented by Molecular Device</li></ul><h5><strong>AIVIA - introduction to AI based image analysis</strong></h5><ul><li>Presented by Leica Microsystems</li></ul><h5><strong>Analytical advances in the characterization of mRNA</strong></h5><ul><li>Presented by Phenomenex</li></ul><h5><strong>Unlocking the power of data with IDBS</strong></h5><ul><li>Presented by IDBS</li></ul><h5><strong>The power of AI: from planning and the lab to success in life sciences</strong></h5><ul><li>Presented by Abcam</li></ul><h5><strong>Practical approaches to EV characterization and purification: leveraging nano Flow Cytometry and ultracentrifugation for clinical and commercial success</strong></h5><ul><li>Presented by Beckman Coulter Life Sciences</li></ul><h5><strong>AI-MS/MS-AI mass spectrometry application with AI</strong></h5><ul><li>Presented by SCIEX</li></ul><h5><strong>Work smarter, not harder: emerging lessons on data in biopharma R&amp;D</strong></h5><ul><li>Presented by Genedata</li></ul><h5><strong>In silico process development with mechanistic chromatography modelling</strong></h5><ul><li>Presented by Cytiva</li></ul><h5><strong>CRISPR meets NGS: the powerful duo for drug discovery</strong></h5><ul><li>Presented by IDT</li></ul><h3><strong>Presenter:</strong></h3><ul><li>Gokhale, Aarti Arun, Ph.D (Sr Manager, Gene Reading, APAC, IDT)</li><li>Teo Chong Kok Ph.D (Scientific Account Manager, Genedata)</li><li>Edward Lim (General Manager, SEA, Beckman Coulter Life Sciences)</li><li>Taryn Guinan, Ph.D (Sr Applications Specialist, ANZ, Leica Microsystem)</li><li>Edward Wong, Ph.D (Sr Manager, Gene Writing &amp; Editing, APAC, IDT)</li><li>Stephan Waldert, Ph.D (Director, Data Science &amp; AI, Abcam)</li><li>Manish Manakchand (Commercial Director, Asia, IDBS)</li><li>Namrata Saxena (Technical Manager, Phenomenex)</li><li>Hans Lin (Field Application &amp; Market Development Specialist, SCIEX)</li><li>Mok Wei Chuan (Go Silico Sales Specialist, APAC, Cytiva)</li><li>Minho Tak, Ph.D (Sr Application Scientist, JAPAC, Molecular Device)</li></ul>

SCIEX: AI and technology advancements from Danaher

AI and technology advancements from Danaher

In this live webinar, let’s explore how Danaher group of companies leverage AI and technologies in providing advanced solutions.

<h4><strong>Eight Webinars and a Roundtable with Experts from Merck&nbsp;</strong></h4><p><strong>Analytical Excellence Week' is organized to empower professionals in the field of analytical chemistry. Over the course of eight insightful sessions, industry experts will share their knowledge and best practices to streamline your analytical workflows and enhance your efficiency.</strong></p><p>From <strong>understanding quality grades</strong> in inorganics and solvents to <strong>exploring sustainable practices</strong> in the lab, each webinar covers essential topics that will enhance your analytical capabilities. Learn how to <strong>optimize your Karl Fischer titration</strong>, achieve precision in PFAS testing, and gain <strong>troubleshooting tips for LC-MS</strong> to effectively address common challenges and improve your laboratory results.<br>The sessions will also address critical aspects of <strong>safety and sustainability</strong>, ensuring you are well-equipped to handle hazardous chemicals responsibly while making strides toward greener laboratory practices.</p><p>This is an invaluable opportunity to gain insights that can significantly optimize your analytical processes. Don’t miss your chance to elevate your expertise and contribute to a more efficient and sustainable future in analytical workflows.<br>Each session is specifically designed to address essential topics that directly impact your daily practices, making it relevant for all professionals working in a chemical analysis laboratory.</p><h3><strong>Day 2: Tuesday, 11 February</strong></h3><h4><strong>Dihydropinene, γ-Valerolactone, and Dimethyl Isosorbide: Bio-Sourced Versatile Green Solvents for Diverse Organic Synthesis</strong></h4><p><strong>The growing environmental concerns and regulatory restrictions on conventional organic solvents derived from non-renewable sources have spurred the search for greener, sustainable alternatives. This presentation will explore the potential of dihydropinene (DHP), γ-valerolactone (GVL), and dimethyl isosorbide (DMI) as bio-sourced and biodegradable solvents, offering a promising solution to replace toxic and non-renewable solvents. DHP, derived from turpentine oil, is an effective substitute for solvents such as n-hexane, benzene, and dichloromethane, while GVL and DMI are ideal replacements for hazardous solvents such as DMF, NMP, and DMA.</strong></p><p>These solvents not only perform well in various chemical transformations but also offer significant environmental benefits due to their biodegradability, low toxicity, and recyclability. The presentation will highlight the applications of DHP, GVL, and DMI in green chemistry, showcasing their potential in organic synthesis and industrial processes. It will also discuss their role in advancing sustainable practices, reducing dependency on fossil-based solvents, and promoting safer working environments. By focusing on green solvent solutions, the presentation will emphasize their future potential in scientific research, production, and industrial applications.</p><p><strong>By attending this webinar, you will learn:</strong></p><ul><li><strong>Sustainable Solvent Alternatives:</strong> How bio-based solvents such as DHP, GVL, and DMI can replace conventional toxic solvents, providing eco-friendly, biodegradable options for chemical processes.</li><li><strong>Environmental and Safety Benefits:</strong> The environmental advantages of these solvents, including biodegradability, low toxicity, and recyclability, and how they promote safer and greener practices in research and industry.</li><li><strong>Practical Applications:</strong> How these solvents can be effectively used in organic synthesis, industrial processes, and various scientific fields, contributing to more sustainable and efficient chemical solutions.</li></ul><p><strong>Who should attend:</strong><br>This presentation will benefit those working in pharmaceutical and drug discovery R&amp;D, process development of API, environmental scientists and sustainability experts, industry professionals in chemical engineering and manufacturing, materials science researchers, and students and researchers in green chemistry.</p><blockquote><p><strong>Presenter:</strong> <i>Saikat Sinha, (R&amp;D Manager, Merck)&nbsp;</i></p></blockquote><h4><strong>Enhance Your PFAS Testing: Achieve Precision and Reduce Background Noise with Specialized Consumables</strong></h4><p><strong>Join this presentation to explore advanced LC-MS/MS methods for determining PFAS analytes at low levels across diverse samples and matrices. Learn how to identify contamination sources, reduce background noise, and improve testing precision with specific recommendations on PFAS-qualified consumables. Discover various LC-MS/MS PFAS testing workflows and strategies to minimize errors, supported by data from both regulated and non-regulated methods.</strong></p><p><strong>By attending this webinar, you will learn:</strong></p><ul><li>Detailed insights into different LC-MS/MS PFAS methods</li><li>Techniques to identify and test contamination sources</li><li>Strategies to reduce background noise</li><li>Practical tips and tricks for improved testing</li></ul><p><strong>Who should attend</strong>:<br>This webinar is essential for lab technicians, lab managers, and quality assurance managers involved in developing in-house methods or verifying regulated testing protocols such as EPA Methods 533, 537.1, and 1633.</p><blockquote><p><strong>Presenter: </strong>Patrik Appelblad, (Fellow and Technical Lead, Analytical Chemistry R&amp;D, Merck)&nbsp;</p></blockquote>

Merck: Webinar Series & Expert Roundtable

Webinar Series & Expert Roundtable (Day 2)

(Day 2) - Part 1: Dihydropinene, γ-Valerolactone, and Dimethyl Isosorbide: Solvents for Organic Synthesis and Part 2: Enhance Your PFAS Testing

ICPMS webinars focusing on Consumables | LabRulez ICPMS