Photocatalytic degradation and transformation of pharmaceuticals using exfoliated metal-free g-C3N4

Alloys are formed when a metal is combined with another element to strengthen the base metal’s properties. Basically, an alloy is just a modified metal. Superalloys are similar, but these specific high-performance materials are held to a higher standard. They are typically nickel-based, cobalt-based, titanium-based, or iron-based.&nbsp;To be classified as a superalloy, the alloy must be able to reliably function under extremely high temperatures, possess superior strength and surface stability, and must be resistant to thermal creep deformation. Strong corrosion and oxidation resistance are also features of superalloys, but it’s important to note that they are not impervious to oxidation over time if protective measures are not taken. Unfortunately, even when protective measures are taken, contaminants like sulfur threaten to render that protection useless.<h4>Why is Protection from Oxidation Important?</h4>Oxidation negatively affects a superalloy by weakening its strength, which over time can lead to embrittlement and cracking. Since high-performance materials like superalloys are mainly used and relied on in industries like aerospace and nuclear energy, it is crucial that these materials perform as intended. Material failures could be the difference between life and death, in some circumstances.<h4>Selective Oxidation</h4>To make superalloys even more indestructible and shield against oxidation, selective oxidation is performed. With selective oxidation, superalloys are designed to oxidize in a way that creates a protective layer of oxidized material that “covers” the alloy, keeping the alloy’s inner structure from oxygen invasion. However, this means that in order to keep protecting the superalloy’s infrastructure, the protective oxidized layer needs to remain stable and intact.<h4>Sulfur: A Dangerous Threat</h4>The presence of sulfur, even at trace levels, can interfere with the selective oxidation process. Sulfur degrades that protective layer, leaving the superalloy vulnerable to negative oxidation and shortening its useful lifespan. Therefore, the accurate determination of sulfur content, down to the tenth of a microgram, is paramount for ensuring optimal performance and longevity in superalloys.<h4>A Combustion Technique for Ultimate Confidence</h4>Historically, the only way to accurately determine ultra-low levels of sulfur was with<a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1842"> glow discharge mass spectrometry (GD-MS)</a>, due to its high sensitivity. Now, even combustion methods can be used when paired with the right instruments, like<a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1879"> LECO’s CS844ES.</a>&nbsp;<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_rada_844_Analyza_uhliku_a_siry_spalovaci_metodou_18532af2ef.jpg" alt="LECO: Superalloys and Sulfur: How Even Trace Amounts Can Be Detrimental: LECO 844 Series Combustion Analysis for Carbon and Sulfur." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_rada_844_Analyza_uhliku_a_siry_spalovaci_metodou_18532af2ef.jpg 139w," sizes="100vw" width="710" height="792">The CS844ES uses high-frequency combustion and intelligent carrier gas management with infrared detection to reach a detection limit of approximately 0.1μg, guaranteeing even trace amounts of sulfur will be detected and ensuring confident quality control of superalloys. The sensitivity, ease-of-use, and speed of this instrument make it a reliable tool for any lab. Plus, the cost of combustion instrumentation is significantly lower than GD-MS, making it a practical choice as well.<h4>More About Sulfur and Superalloys</h4>Since superalloys make up fundamental parts of aerospace equipment, medical devices, and more, knowing that they will perform as they are supposed to is paramount. Feeling confident in sulfur level results can be achieved through specialized combustion techniques, avoiding costly GD-MS.&nbsp;To learn more about LECO’s CS844ES, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/CS_844_844_ES_S_STEEL_NICKEL_SUPERALLOYS_203_821_540_9f6feba049.pdf">download this app note</a> that details how the instrument performed when testing steel, nickel, and superalloys. You can also <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1879">visit our website</a> to read more about the instrument and<a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/209_214_5c92613a24.pdf"> download a brochure.</a> To learn more about how LECO serves the high-performance materials industry, visit our<a target="_blank" rel="noopener noreferrer" href="https://www.leco.com/applications/high-performance-materials/"> High Performance Materials Resource Hub.</a>

Superalloys and Sulfur: How Even Trace Amounts Can Be Detrimental

The standard uncertainty arising from random effects is often derived from repeated experiments and is quantified in terms of the standard deviation s of the measured values of the quantity. If it is the standard uncertainty arising from random effects on a single measurement that is required, then the observed standard deviation s is used without change. However, for a result which is the mean x of n measurements the standard uncertainty decreases as n increases, so that:<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Using_repeated_measurements_to_improve_the_standard_uncertainty_equation_1_19f8f07f8f.jpg" alt="Eurachem: Using repeated measurements to improve the standard uncertainty - Equation 1" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Using_repeated_measurements_to_improve_the_standard_uncertainty_equation_1_19f8f07f8f.jpg 245w," sizes="100vw" width="485" height="138">Example 1 shows how Eq (1) applies when estimating the uncertainty of a mean value, but not when considering the uncertainty of individual observations.<blockquote>Example 1 A volumetric pipette is calibrated with 12 measurements; the mean and the standard deviation are calculated. Eq. 1 applies to estimate the standard uncertainty of the mean value. However, when using the pipette to deliver one aliquot, Eq. 1 does not apply and the standard uncertainty due to random variation on this single measurement is the standard deviation s</blockquote>For Eq (1) to be valid, it is a requirement that all the measurements are independent and from a stable test sample under the same measurement conditions. The measurement conditions for all the measurements could be, for example, 1) repeatability conditions, 2) intermediate precision (within laboratory reproducibility) conditions or 3) reproducibility conditions&nbsp;It is very important to be aware that the standard uncertainty given by Eq. 1 only gives the estimated uncertainty due to random variation under the conditions of measurement under which the observations were taken, and is only strictly valid for independent observations.&nbsp;It can be hard to decide whether observations are sufficiently independent for Eq. 1 to apply, as there is no simple, general, rule. The following paragraphs therefore give examples of different circumstances to help identify circumstances when Eq. 1 can safely be used.<h3>Example where Equation (1) applies&nbsp;</h3><h4>Measurement of inhomogeneous samples&nbsp;</h4>If inhomogeneity for test samples is a major part of the uncertainty the analyst may choose to measure more test portions from each test sample in order to reduce the standard uncertainty. If all these measurements are made under repeatability conditions, i.e. the same measurement conditions following the whole procedure, including repeated random sampling from the test sample, the standard deviation of the mean, given by Eq. (1), should be used to estimate the uncertainty arising from variation under repeatability conditions.&nbsp;<h3>Examples where Equation (1) does not apply&nbsp;</h3>The following paragraphs give two examples where neither the standard deviation nor the standard deviation of the mean can be directly applied without further analysis of the data.&nbsp;<h4>Measurements taken in groups&nbsp;</h4>One example is when we have data from internal quality control from a measurement procedure that includes a calibration before analysis each day. We want to calculate the standard uncertainty of the mean value used to set the central line in the QC chart. The data consist of duplicate QC measurements performed on a stable test sample each day over a longer period of time (say, p days), giving a total of 2p observations; that is, p groups of two measurements. Because each pair of duplicate measurements has a single calibration error in common; the duplicates within the data set are not strictly independent and Eq. (1) cannot be directly used for all 2p observations. The uncertainty of the mean can most easily be calculated by taking the standard deviation of the p means for each day and dividing that standard deviation by √p . Analysis of variance can also be useful in similar cases. Similar principles apply to other kinds of grouping, including grouping by operator, instrument etc.&nbsp;<h4>Measurement when the test item or measurement system is not stable over time</h4>Another common example is time dependent data. The time dependence could be due to instrument drift or to actual change in concentration by time. In such cases the error for a given observation is partly random and in part ‘carried over’ from the previous observation. Again the errors affecting each observation are not independent because some part of the error is common to successive observations; Eq. (1) can not be used and more complex statistical techniques, that allow for correlation, must be used to process the data.&nbsp;For further guidance on the treatment of correlated data in uncertainty evaluation, see Eurolab Technical Report 1/2006: Guide to the Evaluation of Measurement Uncertainty for Quantitative Test Results, Appendix A.5

Using repeated measurements to improve the standard uncertainty

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Eurachem is a European network promoting international traceability of chemical measurements and good analytical practice. It provides expert guidance, supports method validation, uncertainty evaluation, proficiency testing, and facilitates discussion on technical and policy issues in analytical quality.

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In 1936, the Laboratory Equipment Company introduced the first rapid carbon determinator for the American iron and steel industry.  Today, almost 80 years later, LECO is recognized globally as a leader in the development of high-quality analytical instrumentation, mass spectrometers, comprehensive two-dimensional chromatography, metallography & optical equipment as well as consumables.

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Anton Paar

Agilent Technologies

Bruker

Thermo Fisher Scientific

Modern coordination chemistry can control various material properties—such as structure, reactivity, color, magnetism, catalytic function and many more—through metal complexes. The understanding of how the metals interact with surrounding molecules or ions often is in the focus of the research. To analyze aspects like the metal coordination number, geometry, ligand binding modes, and metal–ligand bond lengths and angles Single Crystal X-ray Diffraction (SC-XRD) is invaluable, as it provides a clear three-dimensional model of the complex, unlike many other techniques.Join our webinar to learn how your research can benefit from Bruker’s latest innovations in SC-XRD. Along a number of examples, we will demonstrate the benefits of advanced X-ray diffraction technology. We will show how modern instrumentation helps to address challenges typical in coordination chemistry and to deliver the precision needed for accurate 3D structure determination in modern crystallography.<h4>Who should attend?</h4><ul><li>Coordination chemists interested in unambiguous 3-D structure determination</li><li>Crystallographers looking to implement the latest state-of -the-art technology into their X-ray facility</li><li>Anyone interested in the advanced X-ray technology for structure determination&nbsp;</li></ul><h4>Which topics will be covered?</h4><ul><li>Coordination Chemistry and Metal-Organic Frameworks – Challenges in structure determination</li><li>How Coordination Chemistry Benefits from single crystal structure determination</li><li>Technical Advances on SC-XRD hardware and software</li><li>The right wavelength for the right crystal</li><li>Better data - faster</li></ul><blockquote>Speaker: Dr. Martin Adam (SC-XRD Product Manager, Bruker AXS)</blockquote>

Bruker: Advancing Coordination Chemistry with Single Crystal X-ray Diffraction

Advancing Coordination Chemistry with Single Crystal X-ray Diffraction

Join our webinar to learn how your research can benefit from Bruker’s latest innovations in SC-XRD.

Coordination Chemistry with Single Crystal X-ray Diffraction

The Indian pharmaceutical industry is constantly seeking faster, more efficient ways to ensure product quality while reducing testing time and operational costs. Traditional methods such as HPLC are highly effective but can be time-consuming and require extensive sample preparation.Join this webinar to discover how the Agilent TRS100 Quantitative Pharmaceutical Analysis System uses Transmission Raman Spectroscopy to provide rapid, non-destructive analysis of intact tablets and capsules. Learn how TRS100 enables fast content uniformity testing, assay, identification, and solid-state analysis with minimal sample handling, helping laboratories improve throughput and accelerate decision-making.<h4>Why Attend?</h4><ul><li>Learn how to perform rapid content uniformity testing on intact tablets and capsules.</li><li>Reduce analysis time and eliminate sample preparation.</li><li>Increase laboratory productivity while reducing solvent and consumable use.</li><li>Explore applications in assay, identification, polymorph, and crystallinity analysis.</li><li>Understand how TRS complements existing HPLC workflows in pharmaceutical QC.</li></ul><h4>Who Should Attend?</h4><ul><li>QC and QA Managers</li><li>Analytical and Pharmaceutical Scientists</li><li>Formulation and R&amp;D Scientists</li><li>Manufacturing and Process Development Teams</li><li>Regulatory and Compliance Professionals</li></ul><h4>What You Will Learn</h4><ul><li>Fundamentals of Transmission Raman Spectroscopy</li><li>How the Agilent TRS100 performs whole-tablet analysis</li><li>Applications in content uniformity and solid-state characterization</li><li>Benefits of implementing rapid, non-destructive testing in pharmaceutical laboratories</li></ul>Join us to see how the Agilent TRS100 is helping pharmaceutical laboratories in India accelerate quality control while maintaining confidence in analytical results.<blockquote>Speaker: Sounik Saha (Dr., Dr. Reddy’s Laboratories, India)Dr. Sounik Saha, PhD, is a Material Science Expert and analytical R&amp;D leader at Dr. Reddy’s Laboratories, India with extensive experience in advanced material characterization.He completed his PhD from the Indian Institute of Science, Bangalore in 2011, followed by postdoctoral research at internationally renowned institutions including UT Southwestern Medical Center, Dallas, USA, and Mayo Clinic, Rochester, USA. He joined Dr. Reddy’s Laboratories in 2015 as part of the Advanced Characterization Technology Laboratory, where he has contributed significantly to strengthening advanced analytical capabilities for complex pharmaceutical product development. He led the Analytical Material Sciences Team at Novartis, India from 2021 to 2025 before joining back at Dr. Reddy’s Laboratories.Dr. Saha specializes in state-of-the-art spectroscopic and microscopic characterization techniques and plays a key role in designing robust analytical strategies for complex generic product development. He has been instrumental in implementing Near-Infrared Spectroscopy and Transmission Raman Spectroscopy-based PAT initiatives across R&amp;D and manufacturing at Dr. Reddy’s Laboratories, contributing to successful regulatory filings and approvals for multiple high-value oral solid dosage products.His work effectively bridges advanced materials science, analytical innovation, regulatory expectations, and practical product development outcomes.Title of talk “Non-Destructive Analytical Technologies as Alternatives to Conventional approaches: Regulatory Expectations and Practical Insights”</blockquote><blockquote>Speaker: Ms. Vijaya Jyothi (Product Specialist - Spectroscopy, Agilent Technologies India Pvt. Ltd.)Vijaya Jyothi is a seasoned product specialist at Agilent Technologies. She manages the spectroscopy division, having extensive expertise in spectroscopy applications across diverse industries, offering deep insights and solutions tailored to varied analytical needs.</blockquote>

Agilent Technologies: Fast, Non-Destructive Pharmaceutical Analysis with the Agilent TRS100

Fast, Non-Destructive Pharmaceutical Analysis with the Agilent TRS100

Optimize pharmaceutical QC with the Agilent TRS100. Replace tedious sample prep with rapid, non-destructive analysis of whole tablets and capsules

Rapid Non-Destructive Pharma Analysis: Agilent TRS100

<div><h4>Unlock the Power of Full-Spectrum Flow Cytometry</h4>A two-part masterclass designed to help you understand, design, and apply high-dimensional flow cytometry workflows across immunology, oncology, and vaccine research.<h5>Session 2: Designing and Analysis of Spectral Flow Experiments</h5><ul><li>Key Advantages of Spectral Technology. Learn how spectral systems enable higher multiplexing, improved resolution, and enhanced flexibility in panel design for complex experiments.</li><li>Workflow of Spectral Flow Cytometry. Step through the complete experimental journey—from panel design and sample preparation to acquisition and interpretation of high-dimensional data.</li><li>Unmixing and Data Analysis Strategies. Gain insights into spectral unmixing principles and advanced analytical approaches that transform raw data into meaningful biological interpretation.</li></ul><h5>Why Attend?</h5><ul><li>Move beyond conventional flow limitations</li><li>Design high-dimensional experiments confidently</li><li>Learn real-world applications</li><li>Interact with flow cytometry experts</li></ul><blockquote>Presenter: Dr. Hemant Agrawal (Director, Flowcytometry Solutions Pvt. Ltd., India)Flow cytometry educationalist and global trainer with 15+ years of experience. Conducted 80+ onsite and 40+ online workshops worldwide. An active member of ISAC (International Society for Advancement of Cytometry) task forces, Dr. Agrawal is widely recognized for advancing cytometry education globally and has been an invited faculty at prestigious Indo-US Cytometry Workshops.</blockquote><blockquote>Presenter: Dr. Saket Siddharth (Field Application Scientist – Flowcytometry, Agilent Technologies)Saket Siddharth is a Flow Cytometry and Cell Analysis specialist with over nine years of experience spanning clinical cytometry, spectral cell sorting, and advanced multicolor panel design. He holds a Ph.D. from the Helmholtz Centre for Infection Research, Brunswick, Germany, and has developed strong expertise across antibody development, high-throughput screening, and assay validation for translational and research applications.</blockquote></div>

Agilent Technologies: Spectral Flow Cytometry Masterclass - Session 2

Spectral Flow Cytometry Masterclass - Session 2

Learn high-dimensional spectral flow cytometry workflows with Cytek. Master panel design, sample prep, and advanced spectral unmixing strategies

Spectral Flow Cytometry Masterclass

As materials become increasingly sophisticated, understanding their optical properties is essential for driving innovation, improving product performance, and ensuring quality. Whether developing anti-reflective coatings, optimising solar cell efficiency, designing specialty glass, or researching next-generation materials, accurate optical characterisation is a critical part of the workflow.Join us for this webinar to discover how the Agilent UV-Vis-NIR spectrophotometer enables researchers and industry professionals to measure and characterise a broad range of optical properties across diverse sample types and applications.The webinar will showcase measurement techniques for transmission, reflectance, diffuse reflectance, and angular measurements, highlighting how the Agilent UV-Vis-NIR platform delivers reliable and reproducible data for both research and industrial applications.<h4>Why Attend?</h4>In this session, you will learn:<ul><li>How the Agilent UV-Vis-NIR can be used to characterise thin films, coatings, solar materials, and glass.</li><li>Techniques for measuring transmission, reflectance, and diffuse reflectance with confidence.</li><li>Methods for determining film thickness and evaluating optical performance.</li><li>How specialised accessories expand measurement capabilities for challenging samples.</li><li>Best practices for obtaining accurate, reproducible results across a variety of applications.</li><li>Real-world examples demonstrating how optical measurements can accelerate research and product development.</li></ul><h4>Who Should Attend?</h4>This webinar is designed for:<ul><li>Academic Researchers and Students<ul><li>Researchers in materials science, physics, chemistry, and engineering.</li><li>Scientists investigating thin films, nanomaterials, optical materials, and photonic devices.</li><li>Graduate students and postdoctoral researchers seeking advanced optical characterisation techniques.</li></ul></li><li>Solar and Photovoltaics<ul><li>Scientists and engineers developing solar cells and photovoltaic materials.</li><li>Researchers evaluating anti-reflective coatings and light management strategies.</li><li>Teams working to improve solar cell efficiency through optical optimisation.</li></ul></li><li>Glass and Coatings Industries<ul><li>Manufacturers of architectural, automotive, and specialty glass.</li><li>Researchers developing low-emissivity and anti-reflective coatings.</li><li>Quality control and R&amp;D professionals responsible for optical performance testing.</li></ul></li><li>Advanced Materials and Industrial R&amp;D<ul><li>Thin film and semiconductor researchers.</li><li>Optical coating manufacturers.</li><li>Scientists working with displays, sensors, filters, and advanced functional materials.</li><li>Analytical laboratories requiring precise optical characterisation.</li></ul></li></ul><h5>Featured Applications</h5><ul><li>Thin film and multilayer coating analysis</li><li>Anti-reflective and optical coating characterisation</li><li>Solar cell and photovoltaic material evaluation</li><li>Optical filter transmission and blocking measurements</li><li>Architectural and specialty glass analysis</li><li>Reflectance measurements at varying angles of incidence</li><li>Film thickness determination</li><li>Diffuse reflectance measurements of scattering materials</li><li>Optical characterisation of emerging materials in academia and industry</li></ul>Discover how the Agilent UV-Vis-NIR platform combines exceptional optical performance, flexible sampling accessories, and intuitive workflows to provide the insights needed to advance research, optimise products, and solve challenging analytical problems.<blockquote>Presenter: Mr. Rajwar Chandra (Product Specialist - Spectroscopy, Agilent Technologies)Chandra Rajwar is a Product &amp; Market Specialist with over 20 years of experience in Molecular Spectroscopy products and analytical instrumentation. He specializes in UV-Vis, FTIR, Raman, and related spectroscopy solutions, supporting customers with application development, workflow optimization, and analytical excellence across pharmaceutical, chemical, environmental, and research industries.</blockquote><blockquote>Presenter: Ms. Vijaya Jyothi (Product Specialist - Spectroscopy, Agilent Technologies India Pvt. Ltd.)Vijaya Jyothi is a seasoned product specialist at Agilent Technologies. She manages the spectroscopy division, having extensive expertise in spectroscopy applications across diverse industries, offering deep insights and solutions tailored to varied analytical needs.</blockquote>

Agilent Technologies: Characterising Advanced Materials with the Agilent UV-Vis-NIR - From Thin Films and Solar Cells to Glass and Optical Coatings

Characterising Advanced Materials with the Agilent UV-Vis-NIR: From Thin Films and Solar Cells to Glass and Optical Coatings

Characterize thin films, solar cells, and coatings with Agilent UV-Vis-NIR. Master reflectance, transmission, and angular measurement workflows

Materials Characterization with Agilent UV-Vis-NIR

<h4>Atomic Webinar Series</h4>Ensuring food safety requires accurate detection of toxic elements at very low concentration levels, as mandated by international standards such as AOAC Official Method 2015.01. Food matrices pose significant analytical challenges because of their complex compositions, high dissolved solids after digestion, and spectral interferences, including polyatomic and doubly charged rare-earth element species. Simultaneously, food testing laboratories need high sample throughput and minimal operator intervention. This study presents an automated ICP-MS/MS workflow for multi-element analysis of various food matrices using discrete sampling and intelligent autodilution.<blockquote>Presenter: Jeff Sayen (ICP-MS Application Scientist, Agilent Technologies)Jeffrey Sayen s an ICP-MS Application Scientist at Agilent Technologies with over 15 years of experience in analytical chemistry. He specializes in atomic spectroscopy techniques, including ICP-MS, ICP-OES, and Flame AA. Jeffrey is passionate about ICP-MS and enjoys delivering product and application overviews at customer sites, seminars, and industry events. Prior to joining Agilent, he held the position of Senior Field Application Scientist at another major instrument manufacturer, where he focused on analytical methodologies across a range of regulated industries. He holds both undergraduate and graduate degrees in Inorganic Chemistry from Michigan State University.</blockquote>

Agilent Technologies: Atomic Spectroscopy Webinar Series - Elemental Analysis of Foods by Agilent 9500 ICP-QQQ with an Autodilutor

Elemental Analysis of Foods by Agilent 9500 ICP-QQQ with an Autodilutor

Optimize food analysis with the Agilent 9500 ICP-QQQ. Learn how intelligent autodilution resolves interferences and boosts laboratory throughput

Food Elemental Analysis with Agilent 9500 ICP-QQQ

This webinar provides an overview of the Advanced Dilution System (ADS 2), including its operating principles and key parameters for optimization. Troubleshooting approaches will be discussed, with an emphasis on resolving timing, carryover, and precision-related challenges.<blockquote>Presenter: Ana García González (Atomic Spectroscopy Application Scientist, Agilent Technologies)Ana Garcia is the Atomic Spectroscopy Application Scientist at Agilent Technologies. Ana has a broad background in atomic spectroscopy technologies, including international experience developing and validating analytical spectroscopy methods for the geochemical industry. She has also published in the fields of molecular spectroscopy and chemometrics. Ana holds a MSc in plant Biotechnology at CINVESTAV, México, and a Bachelor of Science in Biotechnology Engineering.</blockquote>

Agilent Technologies: Optimizing ADS 2 Autodilutor

Optimizing ADS 2 Autodilutor: Operation, Troubleshooting, & Best Practices

Master the Agilent ADS 2 autodilutor. Learn troubleshooting strategies for timing, carryover, and precision challenges to optimize your workflow

Optimizing the ADS 2 Autodilutor: Troubleshooting

Environmental laboratories face increasing pressure to boost sample throughput while maintaining high data quality across various matrices, including natural waters, soils, and sediments. These samples often have high levels of dissolved solids and complex interference profiles, making fast and reliable multi-element analysis difficult with traditional ICP-MS methods. This work describes a high-throughput ICP-MS/MS workflow for routine environmental analysis that combines discrete sampling with advanced interference control using a single helium mode.&nbsp;<blockquote>Presenter: Yan Cheung, PhD (Application Scientist, Agilent Technologies, Inc.)Yan received her Ph.D. in Analytical Chemistry from Indiana University Bloomington. She joined Agilent Technologies as an Application Scientist in the Life Science and Chemical Analysis team in April 2020. Yan has extensive experience in operating and method development in ICP-MS. Yan also has years of experience working in the oil and gas industry.</blockquote>

Agilent Technologies: Analysis of Environmental Waters by 9500 ICP-QQQ in Advanced Helium Mode

Analysis of Environmental Waters by 9500 ICP-QQQ in Advanced Helium Mode

Boost environmental lab throughput with the Agilent 9500 ICP-QQQ. Learn how advanced helium mode resolves interferences in complex matrices

Environmental Analysis via 9500 ICP-QQQ Helium Mode

<div><div id="inner_content_body_text" data-content-id="394785">The essential techniques used to characterize heterogeneous catalysts have remained largely unchanged for decades. This is especially true when it comes to automation, ease of use, repeatability, reproducibility, and operator safety.In this webinar, we will present Anton Paar’s Autosorb 3300 and the latest developments in temperature-programmed measurements, including TPR, TPO, and TPD, as well as pulse titration for active metal area. The session will highlight innovations such as liquid-cooled high-temperature furnace design, automatic leak detection, linear heating, automatic injection loop selection, and simplified sample cell attachment.Learn how Autosorb 3300 helps reduce the complexity of chemisorption and makes advanced catalyst characterization more accessible to laboratories in industry and academia while supporting high-quality data. The presentation will also include practical examples of different measurement types.<blockquote>Presenter: Dr. Martin A. Thomas PhDDr Thomas has more than 40 years’ experience in porous materials characterization, much of that time associated with heterogeneous catalysts as well as battery materials, ceramics and pharmaceuticals. He joined Quantachrome Instruments in 1991 from ICI’s Catalyst Research Centre in the UK, and has served as Anton Paar QuantaTec’s Lead Scientist since 2020, supporting customers worldwide through webinars and seminars. He is co-author of the book “Characterization of Porous Solids and Powders: Surface Area, Pore Size and Density” published by Springer.</blockquote></div></div>

Anton Paar: Next-Generation Flow Chemisorption with Autosorb 3300

Next-Generation Flow Chemisorption with Autosorb 3300

How Autosorb 3300 helps reduce the complexity of chemisorption and makes advanced catalyst characterization more accessible to laboratories

Flow Chemisorption with Autosorb 3300

Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) is a powerful technique for investigating catalyst surface chemistry under reaction conditions. In this live webinar, subject matter specialists from Michigan State University, Specac, and Thermo Fisher Scientific will discuss how in situ DRIFTS can be used to study dry reforming of methane over ceria-supported catalysts and provide insight into the surface species and reaction intermediates involved in catalytic CO₂ utilization.The session will explore DRIFTS experimental setup considerations, approaches for relating spectral observations to catalyst behavior, and examples of how researchers use in situ spectroscopy to investigate CO₂ activation and metal-support interactions. Presenters will also discuss complementary characterization techniques, including CO-DRIFTS, CO₂-DRIFTS, and CO₂-TPD-DRIFTS, and their role in catalyst research workflows.Attendees will be able to gain practical knowledge that can help strengthen catalyst characterization strategies, support experimental design, and improve interpretation of catalyst behavior in heterogeneous catalysis research.<h4>Key takeaways</h4>By attending this webinar, you can learn several aspects about this specific method of analysis:<ul><li>Apply in situ DRIFTS to investigate catalyst surface chemistry under reaction conditions</li><li>Monitor adsorbed species and reaction intermediates during dry reforming of methane</li><li>Relate spectral observations to catalyst behavior and reaction mechanisms</li><li>Investigate CO₂ activation and metal-support interactions in ceria-supported catalyst systems</li><li>Evaluate when to use complementary techniques such as CO-DRIFTS, CO₂-DRIFTS, and CO₂-TPD-DRIFTS</li><li>Incorporate DRIFTS into catalyst characterization workflows to support more informed research and development decisions.</li></ul><h4>Who should attend</h4><ul><li>Catalysis researchers</li><li>Materials scientists</li><li>Surface scientists</li><li>FTIR and vibrational spectroscopy users</li><li>Academic researchers studying heterogeneous catalysis</li><li>Scientists involved in catalyst development and characterization</li><li>Researchers working in CO₂ utilization, carbon management, and sustainable catalysis</li></ul><blockquote>Presenter: Md Monir Hossain, PhD Candidate, Michigan State UniversityResearcher focused on heterogeneous catalysis, carbon utilization, and DRIFTS studies of ceria-supported catalysts for dry reforming of methane.Presenter: Jim Delaney, Applications Team Lead, SpecacLeader of global spectroscopy application development and customer engagement efforts, supporting advanced research and industrial spectroscopy workflows.Presenter: Lena Woodis, PhD Product Manager, Thermo Fisher ScientificVibrational spectroscopy veteran with more than 15 years of experience in chemical instrumentation, FTIR spectroscopy, and analytical technologies.</blockquote>

Thermo Fisher Scientific: From Spectra to Mechanism: Using DRIFTS to Understand CO₂ Catalysis

From Spectra to Mechanism: Using DRIFTS to Understand CO₂ Catalysis

In this webinar, subject matter specialists will discuss how in situ DRIFTS can be used to study dry reforming of methane over ceria-supported catalysts.

Using DRIFTS to Understand CO₂ Catalysis

Food fraud, adulteration, and mislabeling continue to challenge global food supply chains, creating risks for manufacturers, regulators, retailers, and consumers. Stable isotope ratio mass spectrometry (IRMS) provides a powerful analytical approach for verifying food authenticity by measuring naturally occurring isotope fingerprints that reflect a product's origin, production practices, and ingredient composition.In this webinar, we will explore how isotope fingerprinting can be used to authenticate food and beverage products, detect economically motivated adulteration, and verify geographical origin claims. Attendees will gain an understanding of the scientific principles behind carbon, nitrogen, oxygen, hydrogen, and sulfur isotope analysis, along with the analytical technologies used to generate these fingerprints.<h4>Through practical case studies, we will demonstrate how isotope analysis can:</h4><ul><li>Detect honey adulteration with added sugar syrups using official AOAC methods.&nbsp;</li><li>Verify the geographical origin of beef through dietary isotope signatures.&nbsp;</li><li>Differentiate authentic and mislabeled coffee based on regional rainfall patterns.&nbsp;</li><li>Identify watering of wine and other beverage adulteration.&nbsp;</li><li>Confirm organic versus conventional agricultural practices.&nbsp;</li><li>Authenticate flavors, oils, sugars, and premium food products using multi-isotope approaches.</li></ul>Attendees will leave with a practical understanding of how isotope fingerprinting can be applied to real-world food integrity challenges, including origin verification, adulteration detection, and label claim validation. Through application-focused case studies and regulatory examples, participants will gain insights into selecting the appropriate isotope measurements and analytical workflows to strengthen food authenticity programs and combat food fraud across complex supply chains.<blockquote>Presenter: Christy Mancuso (Technical Sales Specialist, Thermo Fisher Scientific)Christy is an isotope ratio mass spectrometry (IRMS) specialist with experience in forensic science, food authenticity, and ecology. She earned her PhD at the University of Utah and completed postdoctoral research at the University of New Mexico. She joined Thermo Fisher Scientific in 2022 and supports IOMS sales in the Eastern US.</blockquote>

Thermo Fisher Scientific: Food Authenticity Uncovered - Using Isotope Fingerprints to Detect Adulteration and Verify Origin

Food Authenticity Uncovered: Using Isotope Fingerprints to Detect Adulteration and Verify Origin

Combat food fraud using Stable Isotope Ratio Mass Spectrometry (IRMS). Learn how isotope fingerprints verify origin and detect adulteration

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