<p><strong>In the week of January 26, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Thermo Fisher Scientific: Mastering Single Cell Proteomics – Daily Excellence with μPAC Neo Plus Trap-and-Elute Workflow</strong></h5><ul><li>Tu, 27.1.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5789">Registration</a></li></ul><p>Learn how to achieve robust, high-sensitivity single-cell proteomics using μPAC Neo Plus trap-and-elute LC-MS workflows with Vanquish Neo and Orbitrap systems.</p><h5><strong>2. Waters Corporation: Automation, Speed, and Simplicity for Total Lipid Nanoparticle Characterization</strong></h5><ul><li>Tu, 27.1.2026 17:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5761">Registration</a></li></ul><p>Join this exclusive webinar to discover how to overcome key challenges in lipid nanoparticle (LNP) characterization using automated, high-throughput analytical workflows.</p><h5><strong>3. Agilent Technologies: Measuring Diffuse Powders and Films With UV-VIS-NIR</strong></h5><ul><li>Tu, 27.1.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/3893">Registration</a></li></ul><p>We will discuss diffuse reflectance accessories (DRAs) and Agilent’s universal measurement accessory (UMA) for measuring angular distributions of reflected light.</p><h5><strong>4. Phenomenex: How to Take Care of Your LC Column</strong></h5><ul><li>We, 28.1.2026 10:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/2652">Registration</a></li></ul><p>Learn best practices for new LC columns, including cleaning, regeneration, and strategies to minimize contamination and extend column lifetime.</p><h5><strong>5. Waters Corporation: 2026 AQbD Symposium – Day 1 – Pharma Small Molecules</strong></h5><ul><li>We, 28.1.2026 15:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5719">Registration</a></li></ul><p>Join Day 1 of the 2026 AQbD Symposium to explore how ICH Q14, Q2(R2), and USP &lt;1220&gt; shape modern small-molecule method development using risk-based AQbD principles.</p><h5><strong>6. SCIEX: Accurate Mass Fundamentals – From Theory to Practical Workflows</strong></h5><ul><li>We, 28.1.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5771">Registration</a></li></ul><p>Session 2 moves from theory to practice, showing how accurate mass supports confident HRMS data interpretation and enables robust, automated analytical workflows.</p><h5><strong>7. Thermo Fisher Scientific: Get More from Your Chromeleon Instrument Methods</strong></h5><ul><li>Th, 29.1.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5790">Registration</a></li></ul><p>Join this webinar to gain practical skills and expert tips for using Chromeleon CDS more effectively in everyday laboratory operations.</p><h5><strong>8. Waters Corporation: Informatics Series #30 – Empower Reports: Simple &amp; Smart</strong></h5><ul><li>Th, 29.1.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5762">Registration</a></li></ul><p>Learn quick, impactful tips to make your Empower Software reports smarter, clearer, and more insightful.</p><h5><strong>9. Waters Corporation: 2026 AQbD Symposium – Day 2 – Biopharmaceutical</strong></h5><ul><li>Th, 29.1.2026 15:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5773">Registration</a></li></ul><p>Join Day 2 of the 2026 AQbD Symposium to learn how AQbD enables compliant, risk-based biopharmaceutical analytics under evolving ICH and USP guidelines.</p>

Webinars LabRulezLCMS Week 05/2026

<p><strong>In the week from January 26, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Waters Corporation: Automation, Speed, and Simplicity for Total Lipid Nanoparticle Characterization</strong></h5><ul><li>Tu, 27.1.2026 17:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5761">Registration</a></li></ul><p>Join this exclusive webinar and discover how to overcome the toughest challenges in lipid nanoparticle analysis using automated, high-throughput workflows.</p><h5><strong>2. Agilent Technologies: Measuring Diffuse Powders and Films With UV-VIS-NIR</strong></h5><ul><li>Tu, 27.1.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/3893">Registration</a></li></ul><p>We will discuss diffuse reflectance accessories (DRAs) and Agilent’s universal measurement accessory (UMA) for measuring the angular distribution of reflected light.</p><h5><strong>3. Mettler-Toledo: Thermal Analysis of Electronic Components</strong></h5><ul><li>Th, 29.1.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5733">Registration</a></li></ul><p>Discover how thermal analysis techniques (DSC, TGA, TMA, DMA) characterize electronic materials and PCBs, supporting design decisions, reliability, and lifetime performance.</p>

Webinars LabRulezICPMS Week 05/2026

Co-Evolution of Volatiles and Pyrolytic Residue during Lignin Pyrolysis

Coupling Liquid Chromatography to Orbitrap Isotope Ratio Mass Spectrometry: Overcoming Isotope Effects of Chromatography and Amount-Dependency by Peak Homogenization

<p><strong>Catalytic pyrolysis offers an efficient approach for lignin degradation under anaerobic conditions. This study investigates the influence of Co-based catalysts supported on acid-modified attapulgite on alkali lignin pyrolysis using thermogravimetric analysis.</strong></p><p>Both non-catalytic and catalytic lignin pyrolysis proceeded through three stages: early, mid, and final pyrolysis. Increasing heating rates shifted maximum weight-loss peaks to higher temperatures due to heat transfer limitations. The presence of catalysts significantly reduced the activation energy to as low as 44.7 kJ/mol, indicating strong catalytic interactions with lignin functional groups and an enhanced pyrolysis reaction rate.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587"><strong>Kinetics and Mechanism of Alkali Lignin Catalytic Pyrolysis Based on Thermogravimetric Analysis</strong></a></h4><p>Haowen Tang, Shujun Zhou, and Xiaoli Gu*</p><p>ACS Omega 2025, 10, 51, 62906–62915</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acsomega.5c08587">https://doi.org/10.1021/acsomega.5c08587</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><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>With the rapid development of world economy and the continuous increase in population, the depletion of fossil energy, and increasingly severe environmental problems, human beings are faced with unprecedented demand for energy, and there is an urgent need to develop renewable resources. <a href="javascript:void(0);">(1,2)</a> Lignocellulosic biomass reserves are abundant, with an annual growth of about 146 billion tons. <a href="javascript:void(0);">(3)</a> Lignin is a natural polymer material second to cellulose among biomass components, with a content of about 20–40%. It is also the only renewable resource that can provide bulk renewable aromatic compounds in nature. <a href="javascript:void(0);">(4,5)</a> At present, nearly 150–180 million tons of lignin are produced from the paper industry and ethanol industry as byproducts every year, but only 2–5% of lignin is effectively used, and the vast majority of lignin is burned as low-calorific-value fuel or used as feed, which is not effectively used, resulting in a serious waste of lignin resources. <a href="javascript:void(0);">(6,7)</a> Therefore, applying lignin as raw materials to selectively utilize aromatic and oxygen-containing functional groups in the lignin structure to realize high-value-added utilization of lignin is of great significance.</p><p>The depolymerization methods of lignin mainly include biological and chemical methods (pyrolysis, <a href="javascript:void(0);">(8)</a> hydrolysis, <a href="javascript:void(0);">(9)</a> catalytic oxidation, <a href="javascript:void(0);">(10)</a> photocatalysis, <a href="javascript:void(0);">(11)</a> etc.). The essence of these methods is to break certain chemical bonds between the structural units of lignin to generate small molecular compounds. Pyrolysis is an important method to convert lignin into value-added chemicals and high-grade fuels. This method could break chemical bonds between macromolecules and produce the desired products. In the absence of oxygen, biomass pyrolysis usually generates gas, biological oil, and coke. <a href="javascript:void(0);">(12)</a> The gaseous products generated by lignin pyrolysis mainly include carbon monoxide, carbon dioxide, water, gaseous hydrocarbons, etc. The compounds in bio-oil mainly include phenols, acids, esters, alcohols, ethers, aldehydes, ketones, aliphatic hydrocarbons, aromatic hydrocarbons, polycyclic aromatic hydrocarbons, furans, and nitrogen compounds. <a href="javascript:void(0);">(13)</a> Among them, alcohols, aliphatic hydrocarbons, aromatic hydrocarbons, and phenolic and furan products have higher added value. The selectivity and yield of target products can be improved by adding appropriate catalysts during the pyrolysis process of lignin. In the process of catalytic pyrolysis of lignin, the activity of catalysts, pH, structure, and other factors will affect the pyrolysis rate and composition distribution of products.</p><p>Therefore, increasing attention was directed to the partial substitution of monomeric aromatic compounds from renewable sources by thermochemical conversion technology. However, most researchers focused on transformation of lignin model compounds, while little research investigated biobased phenol production from catalytic pyrolysis of lignin and kinetics of this process. <a href="javascript:void(0);">(14)</a> The study of lignin thermal decomposition kinetics is of great significance for a further understanding of the lignin thermal decomposition mechanism and also provides valuable information for rational design and large-scale production of a lignin pyrolysis reactor. <a href="javascript:void(0);">(15)</a></p><p>In recent years, many groups have focused on kinetic models of catalytic pyrolysis of biomass. Lu et al. <a href="javascript:void(0);">(16)</a> calculated the kinetic characteristics of catalytic pyrolysis of biomass with the Coats–Redfern method, showing that the pyrolysis process could be described by a multistep reaction rather than a simple first-order reaction. Li et al. <a href="javascript:void(0);">(17)</a> analyzed thermal decomposition behavior and reaction kinetics of sodium lignosulfonate (SL) catalyzed with an HZSM-5 molecular sieve with the Kissinger method, which inhibited char formation of SL pyrolysis and promoted the degradation of high-molecular-weight compounds to low-molecular-weight compounds with cracking reactions of oxygenated products. Due to the structural complexity of lignin, Leng et al.’s <a href="javascript:void(0);">(18)</a> research starts by investigating its general pyrolysis characteristics. It then employs model compounds combined with molecular simulations to reveal the microscopic reaction mechanisms. On this basis, kinetic models of varying complexity have been developed, with particular focus on how inherent metals in biomass alter the entire pyrolysis process and product distribution. The research by Kawamoto, <a href="javascript:void(0);">(19)</a> through a combination of model compound experiments and theoretical calculations, revealed that its pyrolysis follows a microscopic mechanism centered on free radical chain reactions, clarifying the competitive pathways from initial cleavage to the formation of char and gases. Furthermore, the study explored the interactions during copyrolysis of lignin with polysaccharide components in wood cell walls, emphasizing the regulatory role of key factors such as hydrogen transfer in determining the distribution of final products. This provides a theoretical foundation for optimizing biomass conversion technologies.</p><p>In the experiment of this article, catalytic pyrolysis of lignin was investigated by a thermogravimetric analyzer (TGA). Kinetic parameters, models, and compensatory effects were determined by combining an equal conversion method and a double equal-step method. The lignin and catalyst were pressed and fragmented several times by a solid-tablet method to make them mixed evenly. The ratio of lignin to catalyst was set at 5:1 (w/w). The samples were programmed to start from room temperature, and the heating rates were 5, 10, 15, and 20 °C/min. The catalytic pyrolysis reaction was carried out in an inert atmosphere with N<sub>2</sub> as the carrier, whose flow rate was 30 mL/min. The experimental conditions of lignin pyrolysis with a catalyst were the same as those without a catalyst, which made the control test more comparable.</p><h4><strong>2. Experimental Section</strong></h4><h5><strong>2.3. Thermogravimetric Analysis</strong></h5><p>The thermogravimetric analysis (TGA) was performed on a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=DTG-60AH"><strong>DTG-60AH instrument </strong></a>(SHIMADZU, Japan). The lignin and catalyst were subjected to multiple pressing and fragmentation processes using the solid press method before the experiment to make a homogeneous mixture of lignin and catalyst, and the ratio of lignin to catalyst was set at 5:1 (w/w). The samples were programmed to start from room temperature at a rate of 5, 10, 15, and 20 °C/min, and the carrier was N<sub>2</sub> to ensure that the catalytic pyrolysis reaction was carried out under an inert atmosphere with a carrier flow rate of 30 mL/min. The experimental conditions for lignin pyrolysis without a catalyst were the same as those for lignin with a catalyst, thus making the control tests more comparable.</p><h4><strong>3. Results and Discussion</strong></h4><h5><strong>3.1. Thermogravimetric Analysis</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig1">Figure 1</a> and <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig2">Figure 2</a> are the mass loss (TG) and DTG curves of lignin (a), lignin + cat.1 (b), lignin + cat.2 (c), and lignin + cat.3 (d) at different heating rates, respectively (cat.1: Co/ATP, cat.2: Co/ATP-CZO, and cat.3: Co–Mo/ATP-CZO). According to the TG curve, the conversion rate of the four samples at any time during the whole pyrolysis process at different heating rates is shown in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig3">Figure 3</a>.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_62906_62915_Figure_1_TG_curves_of_the_four_samples_at_different_heating_rates_lignin_a_lignin_cat_1_b_lignin_cat_2_c_and_lignin_cat_3_d_4d810cf749.jpg" alt="ACS Omega 2025, 10, 51, 62906–62915: Figure 1. TG curves of the four samples at different heating rates: lignin (a), lignin + cat.1 (b), lignin + cat.2 (c), and lignin + cat.3 (d)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_62906_62915_Figure_1_TG_curves_of_the_four_samples_at_different_heating_rates_lignin_a_lignin_cat_1_b_lignin_cat_2_c_and_lignin_cat_3_d_4d810cf749.jpg 176w," sizes="100vw" width="1700" height="1506"></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_62906_62915_Figure_2_DTG_curves_of_the_four_samples_at_different_heating_rates_ca48adae49.jpg" alt="ACS Omega 2025, 10, 51, 62906–62915: Figure 2. DTG curves of the four samples at different heating rates: lignin (a), lignin + cat.1 (b), lignin + cat.2 (c), and lignin + cat.3 (d)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_62906_62915_Figure_2_DTG_curves_of_the_four_samples_at_different_heating_rates_ca48adae49.jpg 222w," sizes="100vw" width="1685" height="1185"></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_62906_62915_Figure_3_a_TG_and_b_DTG_curves_of_lignin_pyrolysis_at_a_temperature_increase_rate_of_10_C_min_ba427ade81.jpg" alt="ACS Omega 2025, 10, 51, 62906–62915: Figure 3. (a) TG and (b) DTG curves of lignin pyrolysis at a temperature increase rate of 10 °C/min." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_62906_62915_Figure_3_a_TG_and_b_DTG_curves_of_lignin_pyrolysis_at_a_temperature_increase_rate_of_10_C_min_ba427ade81.jpg 245w," sizes="100vw" width="1835" height="680"></p><p>It can be seen from <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig1">Figure 1</a> and <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig2">Figure 2</a> that the shapes of the weight loss (TG) and weight loss rate (DTG) curves of lignin pyrolysis under different catalysts are roughly the same. As can be seen in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig1">Figure 1</a>a, the pyrolysis temperature range of lignin is wide, which is mainly due to the complex structure of the basic constituent units of lignin such as the guaiac-based type, lilac type, and <i>p</i>-hydroxyphenyl type. The pyrolysis process can be roughly divided into three stages, including the drying and dehydration stage (from room temperature to 100 °C). In the first stage, the lignin underwent slight pyrolysis, which mainly resulted in dry water loss and the removal of small-molecule gases adsorbed on the lignin surface. The second stage (100–700 °C), which belongs to the strong cracking stage of lignin, mainly consists of the breaking of side chains and ether bonds in the structural units of lignin, namely, β–O–4 (aryl ether), α–O–4 (aryl ether), 4–O–5 (diaryl ether), β–5 (phenyl coumarin), 5–5 (biphenyl), β–1 (1,2-diarpropane), and β–β (resin alcohol) bonds, <a href="javascript:void(0);">(27)</a> and undergoes depolymerization, decomposition, and benzene condensation reactions to produce a large number of small molecular compounds. <a href="javascript:void(0);">(28)</a> The third stage (700–800 °C) is the carbonization stage, and the stage is mainly part of the bond condensation and reforming to produce a small amount of gas.</p><p>As can be seen from <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c08587#fig2">Figure 2</a>, when the heating rate increases, the pyrolysis temperature tends to shift toward high temperatures. This indicates that the faster the heating rate is, the higher is the pyrolysis temperature required if the pyrolysis achieves the same weight loss result. The main reason is that with the accelerated heating rate, the water vapor generated in the pyrolysis process interferes with the heat transfer, and the heat transfer hysteretic effect occurs, leading to the deviation of the pyrolysis temperature to high temperatures.</p><h4><strong>4. Conclusions</strong></h4><div><p>Compared with relevant literature in this field, this work has three advantages: first, the catalyst used achieves the largest reduction in the energy barrier, addressing the “difficult degradation of lignin” issue with an activation energy reduction of 70.8%; second, the reaction model has the optimal stability, ensuring “product selectivity”; finally, the catalyst is suitable for “pyrolysis over a wide temperature range”, with higher industrialization potential. Li et al. <a href="javascript:void(0);">(32)</a> used acidic HZSM-5 catalysts regulated by embedded Mo/Mn to achieve energy-efficient amine regeneration for CO<sub>2</sub> desorption. However, the CO<sub>2</sub> desorption reaction itself has a low energy barrier (80.3 kJ/mol for the blank group), leaving limited room for catalyst improvement with the activation energy reduced by only 53.2%. They did not mention the stability of the reaction model after cycling and only verified the adaptability of the initial model via Arrhenius fitting. Additionally, the reaction temperature was only 101.7–110 °C, with a narrow temperature range, so the catalyst did not need to adapt to a wide temperature domain. Liu et al. <a href="javascript:void(0);">(33)</a> improved the catalytic performance of the oxygen evolution reaction (OER) by modifying α-Fe<sub>2</sub>O<sub>3</sub> with Al doping and Al<sub>2</sub>O<sub>3</sub> heterostructures. However, the OER is limited by the inherent chemical properties of the superoxide radical step, making it difficult to significantly reduce the Gibbs free energy change (Δ<i>G</i>), with the activation energy reduced by 31.4–40.5%. After 1000 cycles, Δ<i>G</i> increased by 0.08 eV, and the reaction model shifted slightly with cycling, leading to a decrease in O<sub>2</sub> generation selectivity. This reaction is an electrochemical reaction with a basically constant temperature (room temperature), thus requiring no adaptation to a wide temperature domain.</p><p>In this article, two kinetic methods of equal conversion method and double equal-step method were applied to analyze the kinetics of lignin under the action of various catalysts. The activation energy and pre-exponential factor during pyrolysis were calculated by an equal conversion method, and the most probable mechanism function <i>G</i>(α) was deduced by a double equal-step method. The results of thermogravimetric analysis show that the pyrolysis process of the four samples is divided into three stages (early pyrolysis, middle pyrolysis, and late pyrolysis). Moreover, due to the restriction of heat transfer, with the increase in the heating rate, the maximum weight loss peak tends to shift to the high temperature. The compensation effect also showed that there was no change in the reaction models during the pyrolysis process. Each TGA experiment was repeated 3 times under the same conditions, and the relative standard deviation (RSD) of weight loss rate and activation energy was &lt;5%, confirming good reproducibility.</p></div>

Kinetics and Mechanism of Alkali Lignin Catalytic Pyrolysis Based on Thermogravimetric Analysis

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 26th January 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you brochure by <strong>Agilent Technologies </strong>and application notes by<strong> BaySpec, Metrohm </strong>and<strong> Shimadzu!</strong></p><h3><strong>1. Agilent Technologies: Maintain Power Grid Integrity - Agilent transformer oil gas analyzers</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/br_toga_gc_analyzer_5994_8705en_agilent_82106c7de8.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Agilent transformer oil gas analyzers (TOGA) are designed to help utilities and service laboratories maintain power grid integrity by monitoring the condition of electrical transformers through dissolved gas analysis (DGA). Transformer oil degrades under electrical, thermal, and mechanical stress, generating characteristic gases whose composition and ratios provide early warning of developing faults. By reliably identifying and quantifying these gases, TOGA systems enable predictive maintenance, help prevent catastrophic transformer failures, and support informed asset management decisions.</p><p>The analyzers are built around the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890"><strong>Agilent 8890 gas chromatograph</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8697"><strong>8697 headspace sampler</strong></a> and are factory-configured, tested, and performance-verified for immediate deployment. They support ASTM D3612 methods A and C, offering flexible configurations for vacuum extraction or headspace sampling. Automated operation allows unattended analysis of up to 120 samples, while high-performance Agilent J&amp;W PLOT columns ensure excellent separation, reproducibility, and reliable detection of key fault gases such as hydrogen, carbon oxides, methane, ethylene, acetylene, and higher hydrocarbons.</p><p>Agilent TOGA systems are delivered as complete workflow solutions, minimizing method development time and accelerating system validation. Intelligent instrument diagnostics, microchannel-based electronic pneumatic control, and remote access capabilities improve reliability, uptime, and ease of operation. Integrated quality-control procedures—from factory testing through on-site installation—ensure consistent performance and traceability from day one.</p><p>Data acquisition, analysis, and reporting are supported by <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=OpenLab+CDS"><strong>OpenLab CDS</strong></a>, which provides a unified platform with high data integrity, streamlined workflows, and secure records management. Combined with Agilent’s extensive service, training, and support offerings, TOGA analyzers represent a robust, future-ready solution for dissolved gas analysis in transformer oil, helping protect critical energy infrastructure while reducing operational risk</p><h3><strong>2. BaySpec: Drug Screening using Compact Portable Device for Supervised Injection Sites</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Bay_Spec_App_Note_Drug_Screening_Using_Portable_Mass_Spectrometer_for_Supervised_Injection_Sites_5d1c131cec.pdf"><strong>Full PDF for download</strong></a></li></ul><p>In response to the rising epidemic, some governments have passed bills making supervised injection sites (SIS) a potential avenue for reducing the rate of drug overdoses. SISs are health care facilities where staff are trained to provide health education, support and connections to services as well as intervening in serious adverse events such as drug overdoses. They provide a safe, hygienic and non-judgement environment in which individuals may consume illicit drugs without fear of arrest.&nbsp;</p><p><strong>The benefits of SIS are to:&nbsp;</strong></p><p>(1) prevent an overdose from becoming fatal through quick intervention, (2) reduce the frequency of public injection and publicly discarded syringes, (3) increase access to health services including substance use treatment, and (4) change behaviors associated with acquiring HIV and hepatitis.&nbsp;</p><p><strong>The benefits of drug checking services within an SIS are:&nbsp;</strong></p><p>(1) it provides the consumer information about the contents of their drugs prior to consumption allowing them take steps to reduce their risk of overdose, (2) it identifies when a highly toxic substance may be in the local drug supply so advisories can be issued to local service agencies and first responders, (3) it encourages use of supervised injection services and the benefits mentioned above, and (4) it detects novel substances or drug combinations that may impact the consumer.&nbsp;</p><p>Initially approved by the Canadian federal government in 2017, the nation now has four official SISs in operation in Ottawa and four sites approved in Toronto. While most SISs are prepared to respond quickly to overdoses, a better practice is to screen drugs for harmful impurities prior to injection. Some SISs are taking such precautions by providing the option for clients to test their drugs prior to injection with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2219"><strong>BaySpec’s Portability Mass Spectrometer</strong></a>, a low maintenance, cost effective, portable instrument weighing only 20 pounds.</p><h3><strong>3. Metrohm: Assessment of chocolate with Raman spectroscopy</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_rs_052_download_a849b96c87.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>Rapid quality control of different chocolate types&nbsp;</strong></h4><p>Application Note AN-RS-052 In 2024, the global chocolate market was valued at approximately $131 billion USD. It is projected to reach approximately $173 billion by 2030, implying a steady growth rate of roughly 4% [1]. This growth is driven by sustained consumer demand and is expected to continue rising.&nbsp;</p><p>Spectroscopy is increasingly utilized in chocolate manufacturing for quality control (QC), thanks to its ability to assess the composition of chocolate, providing a «fingerprint» spectrum that reveals its chemical details. Specifically, Raman can be used in QC to distinguish between types of chocolate, detect adulteration, measure crystallization and texture, and monitor the manufacturing process.&nbsp;</p><p>This Application Note outlines techniques for effectively collecting Raman spectra from various chocolates, providing a foundation for quality assessment and adulteration detection.</p><h4><strong>METHOD&nbsp;</strong></h4><p>Raman data collection with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=220&amp;search=i-Raman+NxG+1064"><strong>i-Raman NxG 1064 </strong></a>laboratory Raman system (Figure 2) was optimized by adjusting integration time and laser power (Table 3) to determine the best conditions to maximize signal strength and minimize risk of sample melting.</p><p>All chocolate samples were analyzed by placing a piece of chocolate on the stage with a Raman probe securely locked above the sample (Figure 3). The optimal working distance was determined by adjusting the probe’s z-axis position while continuously monitoring the intensity of the Raman signal. Once the optimal focal distance is found, a distance regulator helps the operator position the probe on the sample to ensure consistent and reliable measurement.</p><h4><strong>CONCLUSION</strong></h4><p>This study highlights the capability of Raman spectroscopy for rapid, nondestructive measurements of chocolate quality indicators. PLS models demonstrate high predictive accuracy for both cocoarelated materials and sugar content. Increasing the number of samples and testing a broader range of chocolates would further improve the robustness and accuracy of the model. Overall, Raman spectroscopy, combined with chemometric modeling, offers a reliable QC method for routine and real-time chocolate analysis.</p><h3><strong>4. Shimadzu: Analysis of Acetaldehyde and Limonene in Recycled PET Using an HS-GCMS System (Carrier Gas: H2)</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00760_en_4ecf93333d.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>The gas released from the polymer can be easily measured without dissolving the polymer in a solvent, by using a headspace sampler (HS).&nbsp;</li><li>Using an HS-GC/MS system enables qualitative and quantitative analysis of target components in samples with a large number of contaminants that make it difficult to differentiate the targets from other components.&nbsp;</li><li>Analysis costs can be reduced by using hydrogen as a carrier gas, which is more affordable and readily available than helium</li></ul><p>Plastic is lightweight, strong, waterproof, and very convenient, making it an essential part of our modern lives. On the other hand, because it is a major contributor to environmental issues, such as ocean pollution and global warming, measures to reduce plastic usage are being undertaken in countries around the world. 1)&nbsp;</p><p>In Japan, the Plastic Resource Circulation Promotion Act2) came into effect in April 2022. The act does not regulate plastic but rather promotes the establishment of a sustainable circular economy by encouraging collaboration among businesses, local governments, and consumers throughout the overall process of designing, manufacturing, selling, collecting, and recycling plastic products.&nbsp;</p><p>One of these initiatives is the recycling of PET bottles for beverage use. When recycling beverage bottles, residual odors can be an issue, with substances like acetaldehyde from water bottles and limonene from citrus beverages known to persist in the containers. To address these residual substances, recycling companies are implementing unique strategies, one of which involves using gas chromatography-mass spectrometry (GC-MS) to quantify the residual materials. In this article, we present an example of qualitative and quantitative analysis of aldehydes and limonene in PET bottles using the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-QP2020+NX"><strong>GCMS-QP2020 NX</strong></a>/HS-20 NX, with hydrogen (H2) as the carrier gas.</p><h4><strong>Conclusion</strong></h4><p>By using hydrogen (H2) gas as the carrier gas, we were able to avoid the use of the hard-to-obtain helium gas. Additionally, by employing an HS-GC-MS system, we could qualitatively and quantitatively analyze acetaldehyde and limonene from PET without the need for cumbersome pretreatment.</p>

News from LabRulezGCMS Library - Week 05, 2026

News from LabRulezLCMS Library - Week 05, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 26th January 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies</strong>, <strong>Metrohm</strong> and <strong>Shimadzu </strong>and<strong> </strong>brochure by<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Thin Multilayer Analysis Using the </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR"><strong>Agilent 8700 LDIR</strong></a><strong> Chemical Imaging System</strong></h3><p><strong>Rapid micrometer-scale measurement of layer thickness and composition identification in laminated materials</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_thin_multilayer_materials_8700_ldir_5994_8799en_agilent_892afacbb6.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Multilayer laminate materials represent a structurally and chemically complex system. They often comprise several distinct polymer layers that are engineered for specific functional roles, despite having total thicknesses of only a few hundred microns. Each layer contributes unique properties such as mechanical strength, barrier performance, or environmental protection, depending on its chemical composition and thickness. Accurate identification and measurement of these thin layers is therefore critical, as defects or deviations in layer thickness can compromise product integrity. Weaknesses can cause failures through damage, potentially resulting in safety issues for the user.</p><p>Precise mapping and micrometer-scale thickness analysis is essential during the development, quality control, and troubleshooting of multilayer materials. The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR"><strong>Agilent 8700 Laser Direct Infrared (LDIR) chemical imaging system</strong></a> offers a powerful solution for this application. By combining IR spectroscopy with high-resolution imaging, the system enables chemical identification and visualization of polymer layers with exceptional spatial detail. Enhanced by the intuitive Agilent Clarity software, the 8700 LDIR delivers a fast and effective workflow for multilayer material characterization, addressing key needs in quality assurance, failure analysis, and reverse engineering.&nbsp;</p><h4><strong>Results and discussion&nbsp;</strong></h4><h5><strong>User-generated spectral library&nbsp;</strong></h5><p>Following sample preparation, the 8700 LDIR high‑magnification visible camera provided an overview of the laminate structure of sample 1, revealing three distinct layers. The total thickness of the sample and each layer was measured using the Clarity software ruler feature. As shown in Figure 3, the total thickness of sample 1 based on the visible image was measured to be 150 µm (layer 1: 50 µm; layer 2: 50 µm; layer 3: 50 µm). A high‑resolution IR image was then acquired at 1,442 cm–1 with a 1 µm pixel size, enabling detailed visualization of the layer morphology under infrared light (Figure 3).</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The Agilent 8700 LDIR chemical imaging system provides a powerful, non-destructive solution for multilayer analysis across diverse applications ranging from food packaging to battery separators. By combining a laminate holder, high-magnification imaging, IR imaging, and line profile spectral collection, the method delivers clear insights into layer thickness, morphology, and material composition. The ability to quickly build custom spectral libraries within the Agilent Clarity software further enhances its utility, especially for identifying unknown materials or contaminants in multilayer&nbsp;materials. The 8700 LDIR multilayer analysis workflow supports both R&amp;D innovation in advanced materials and routine quality assurance across different industries.</p><h3><strong>2. Metrohm: Almond analysis with near-infrared (NIR) spectroscopy</strong></h3><p><strong>Multiparameter determination of moisture, fat, and protein</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_nir_132_download_ab5d492c05.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Almonds are nutritious edible nuts from the almond tree and can be eaten whole or processed in other foods. During processing, quality control (QC) parameters like moisture levels are checked to ensure that the correct percentage is reached before moving on to other stages (e.g., grinding or packaging). When determining almond quality, destructive analytical techniques are helpful but can involve extensive sample preparation and solvent extractions. These traditional techniques are also slow and expensive. Nondestructive near-infrared spectroscopy (NIRS) is a great alternative because it is fast, simple, and cost effective [1]. In this study, almond moisture content (water content), protein content, and fat have been measured using NIRS. NIR spectroscopy offers the rapid and reliable prediction of several quality parameters in seconds without any sample preparation.</p><h4><strong>EXPERIMENTAL EQUIPMENT&nbsp;</strong></h4><p>60 samples of ground almonds and 60 samples of whole almonds were measured on a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=220&amp;search=NIR+Analyzer"><strong>Metrohm NIR Analyzer</strong></a>. All measurements were performed in reflection mode (1000–2250 nm) using the large cup accessory. The samples were measured in rotation to collect spectral data from diverse areas. Spectral averaging of signals from several spots helped to reduce sample inhomogeneity. Metrohm software was used for all data acquisition and prediction model development.</p><h4><strong>CONCLUSION</strong></h4><p>This Application Note demonstrates that almond protein content analysis, almond fat content analysis, and almond water content (or almond moisture content) analysis can be done with NIRS. NIR spectroscopy offers users a faster, simpler, highly accurate alternative to standard analytical methods for the analysis of ground and whole almonds during processing and final product quality control (Table 1). By using NIRS, all of these parameters can be measured simultaneously without sample preparation, saving time and money.</p><h3><strong>3. Shimadzu: Technique for Measuring Microplastics Collected on Various Filters Using a Particle Filter Holder</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00976_en_155bd58551.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>Particle filter holders provide clear microscope images of samples, enabling highly accurate measurements.</li><li>Microplastics can be analyzed accurately and efficiently by using a particle filter holder with a high-speed mapping program and a particle analysis program.</li></ul><p>Since microplastics (MPs) (with diameters ranging from a few µm up to 5 mm) are widely recognized as an environmental problem in marine environments, Japan’s Ministry of the Environment has issued guidelines for preparation and measuring MPs in environmental surface waters. 1)&nbsp;</p><p>The guidelines include examples of using a Fourier transform infrared spectrophotometer (FTIR) to identify plastics by the total reflectance measurement method. However, to identify fine MPs, they recommend using instruments like infrared microscopes.&nbsp;</p><p>In recent years, an increasing number of studies have analyzed fine MPs smaller than 100 µm. Measuring MPs with an infrared microscope requires collecting samples on a filter. Various types of filters can be used for infrared microscopes, each with unique characteristics. But if a filter cannot be held horizontal during drying or measuring, it can develop wrinkles that might decrease measurement accuracy. Therefore, a particle filter (PF) holder was developed that can be placed directly on an infrared microscope stage while holding the filter horizontally. This article describes using the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=IRXross"><strong>IRXross Fourier transform infrared spectrophotometer</strong></a>, an <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=AIMsight"><strong>AIMsight infrared microscope</strong></a> (Fig. 1), and a PF holder to evaluate the properties of various filters and measure a standard sample of MPs.</p><h4><strong>Example of Measuring MPs&nbsp;</strong></h4><p>Polystyrene (PS), polyethylene (PE), and polypropylene (PP) particles that fell through a 100 µm mesh were dispersed in purified water. They were then collected by suction filtering through PTFE, Al2O3, Au/PC, and stainless steel filters (Table 1). After collecting the particles, the filters were dried using a PF holder. Fig. 5 shows the filter holder placed in the infrared microscope. Measurement condition settings are indicated in Table 2. The PTFE and Al2O3 filters were measured by the transmission method, whereas the stainless steel and Au/PC filters were measured by the reflection method. For the highspeed mapping program in this measurement, a peak detection range of 3,400 to 2,400 cm-1 was specified for detecting the signal from hydrocarbons (C-H). If there are peaks in that range, the range will be scanned the specified number of times. A tiled image of each filter is shown in Fig. 6. The areas marked with a yellow box were measured. For more information about the high-speed mapping program, refer to <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01001_en_79904665ce.pdf"><strong>Application News No. 01-01001-EN</strong></a>.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This article describes using a PF holder to collect fine microplastic particles on various types of filters, and it provides a summary of the characteristics of each filter. Since there are differences in the wavenumber ranges and data acquisition methods for each filter type, users need to understand the individual characteristics of a filter when using it. The results also show that by using a PF holder to hold the filter flat, fine microplastic particles can be conveniently measured with an infrared microscope to obtain clear images and accurate measurements. Furthermore, a highspeed mapping program and particle analysis program can be used to accurately and efficiently analyze microplastics.</p><h3><strong>4. Thermo Fisher Scientific: Raman at the speed you need - Thermo Scientific DXR3 Raman Family</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/SS_53191_DXR_3_raman_family_spec_sheet_896bbe523e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The <strong>Thermo Scientific DXR3 Raman Family</strong> is a versatile portfolio of Raman spectroscopy instruments designed to deliver high-quality chemical information quickly and reliably across a wide range of applications. Built on a shared, modular platform, the family includes the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2239"><strong>DXR3 Raman Microscope</strong></a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2237"><strong>DXR3xi Raman Imaging Microscope</strong></a>, and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2235"><strong>DXR3 SmartRaman Spectrometer</strong></a>, enabling users to choose the optimal configuration for point analysis, high-resolution imaging, or bulk sample characterization. All systems emphasize ease of use, reproducibility, and rapid data acquisition, making advanced Raman analysis accessible to both expert spectroscopists and routine laboratory users.</p><p>The <strong>DXR3 Raman Microscope</strong> provides research-grade performance with sub-micrometer spatial resolution and intuitive point-and-shoot operation, supporting demanding analytical tasks such as microanalysis, depth profiling, and chemical mapping. For applications requiring fast, high-resolution chemical imaging, the <strong>DXR3xi Raman Imaging Microscope</strong> delivers exceptional stability, automated feature identification, and rapid image acquisition over both small and large areas. Its advanced EMCCD detector technology and intelligent autofocus significantly reduce experiment time while maintaining high data quality, making it ideal for materials research, pharmaceuticals, and life sciences.</p><p>The <strong>DXR3 SmartRaman Spectrometer</strong> is optimized for high-performance bulk sample analysis in busy analytical laboratories. Featuring a large sampling compartment and flexible accessories, it accommodates a wide range of sample formats—from powders and tablets to liquids in bottles or vials. Variable Dynamic Point Sampling (VDPS) technology enables representative averaging over large sample areas, improving reproducibility and reducing sampling bias. Together with multiple excitation laser options and interchangeable gratings, the system supports diverse analytical workflows with minimal maintenance.</p><p>Across the entire DXR3 family, <strong>pre-aligned, user-exchangeable Smart Components</strong>, automated alignment and calibration, and powerful <strong>OMNIC™ software</strong> ensure consistent performance and simplified operation. Extensive microscopy, macro-sampling, and automation options allow systems to be tailored to specific applications, while robust system qualification and diagnostics support long-term reliability. Overall, the DXR3 Raman Family combines speed, flexibility, and analytical confidence, making it a comprehensive solution for modern Raman spectroscopy in research, quality control, and industrial environments.</p>

News from LabRulezICPMS Library - Week 05, 2026

<p><strong>In the week of February 2, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><div><div><div><div><div><div><h5><strong>1. Wasson-ECE Instrumentation: Micro-GCs – Introduction to and Use with Auto-samplers</strong></h5><ul><li>Tu, 3.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5743">Registration</a></li></ul><p>Learn how compact micro-GC systems integrate with automated sampling equipment to enable fast, efficient gas analysis.</p><h5><strong>2. Agilent Technologies: Smarter Allergen Profiling Starts Here – Differential Flow GC×GC and MS/FID Data Fusion</strong></h5><ul><li>Th, 5.2.2026 10:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5764">Registration</a></li></ul><p>Join us to explore how differential-flow GC×GC combined with MS/FID data fusion delivers enhanced analytical power, flexibility, and reliability for fragrance and allergen analysis.</p><h5><strong>3. SelectScience: Advancing Energy Storage with Spectroelectrochemistry</strong></h5><ul><li>Th, 5.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5806">Registration</a></li></ul><p>Discover how combining electrochemistry with FTIR, Raman spectroscopy, and microscopy reveals electrode reactions and chemical homogeneity, accelerating research in batteries, fuel cells, and energy materials.</p></div></div></div></div></div></div>

Webinars LabRulezGCMS Week 06/2026

<p><strong>In the week of February 2, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Waters Corporation: Introducing the Waters OneLab Secure Deployment Solution</strong></h5><ul><li>Tu, 3.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5785">Registration</a></li></ul><p>Join this exclusive webinar to discover how the Waters OneLab™ Secured Deployment Solution takes you from box to bench with a secure, streamlined deployment approach.</p><h5><strong>2. Agilent Technologies: Screening Demystified – Practical Guidelines for Getting It Right with High-Resolution (Part 1: All About Screening)</strong></h5><ul><li>Tu, 3.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5830">Registration</a></li></ul><p>Demystify high-resolution LC/MS screening. Learn how to design reliable HRMS workflows, avoid false results, and unlock the full potential of LC/QTOF screening for complex applications.</p><h5><strong>3. Separation Science: Fast Wins – Preparative LC Tips for Beginners Ready to Use Tomorrow</strong></h5><ul><li>Tu, 3.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5784">Registration</a></li></ul><p>Discover how preparative LC can streamline analytical workflows for efficient compound purification, with practical tips you can apply immediately.</p><h5><strong>4. Phenomenex: Column Quest – Finding Your Ideal C18 Match</strong></h5><ul><li>We, 4.2.2026 10:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5792">Registration</a></li></ul><p>Learn how subtle differences between C18 columns affect LC separations by exploring particle, phase, and silica properties for better method development and transfer.</p><h5><strong>5. Separation Science: How to Overcome the Technical Hurdles of High-Throughput Sample Preparation for Environmental SVOC Analysis</strong></h5><ul><li>We, 4.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5791">Registration</a></li></ul><p>See how automated SPE with Biotage Extrahera improves EPH and TPH analysis by reducing solvent use, waste, and processing time while ensuring reliable, compliant results.</p><h5><strong>6. Agilent Technologies: Screening Demystified – Practical Guidelines for Getting It Right with High-Resolution (Part 2: How to Set-Up for Success)</strong></h5><ul><li>Th, 5.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5831">Registration</a></li></ul><p>Learn how to set up HRMS screening for success, covering instrument capabilities, software tools, validation strategies, and workflow design for unbiased LC/QTOF screening.</p><h5><strong>7. SelectScience: Advancing Energy Storage with Spectroelectrochemistry</strong></h5><ul><li>Th, 5.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5806">Registration</a></li></ul><p>Discover how combining electrochemistry with FTIR, Raman spectroscopy, and microscopy reveals electrode reactions and chemical homogeneity, accelerating research in batteries and fuel cells.</p><h5><strong>8. Waters Corporation: Accelerating Sample to Decision – Automated LC-MS Workflows for RNA Therapeutics and Vaccines</strong></h5><ul><li>Th, 5.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5763">Registration</a></li></ul><p>Join this webinar to explore how automated LC-MS workflows transform RNA characterization and quality analysis for therapeutics and vaccines.</p>

Webinars LabRulezLCMS Week 06/2026

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