<h4>1 - What is fitness for purpose?&nbsp;</h4>The test meets the necessary performance criteria for a clinical binary examination to ensure it is suitable for making accurate and reliable clinical decisions in the intended patient population. Among others, performance criteria include clinical sensitivity and clinical specificity.&nbsp;<h4>2 - How to assess clinical performance?&nbsp;</h4>Assessing the clinical performance of a binary examination, stating results as 'positive' or 'negative,' involves calculating the examination's Clinical Sensitivity and Clinical Specificity. From the physician's point of view, clinical performance is evaluated by using predictive values, i.e., how likely is it that a positive or negative result corresponds to the presence or absence of the condition, which is also influenced by the prevalence of the condition in the population being tested.&nbsp;<h4>3 - What is Clinical Sensitivity?&nbsp;</h4>Clinical sensitivity (SS), also known as the True Positive Rate, measures the proportion of true positives correctly identified by the test. Data from a group of subjects who have been confirmed to have the disease or condition through diagnosis or a gold standard test (D1 in Table 1) are needed to calculate clinical sensitivity.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Table_1_2x2_Contingency_table_for_clinical_diagnosis_241735a171.jpg" alt="Eurachem: Table 1. 2x2 Contingency table for clinical diagnosis." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Table_1_2x2_Contingency_table_for_clinical_diagnosis_241735a171.jpg 245w," sizes="100vw" width="1401" height="461">The formula for clinical sensitivity is:&nbsp;SS = tp / (tp + fn), with:&nbsp;<ul><li>tp, True Positives are the cases where the test correctly identifies the presence of the disease.&nbsp;</li><li>fn, False Negatives are the cases where the test incorrectly identifies the absence of the disease when it is actually present.&nbsp;</li></ul>Table 1 represents the components of clinical sensitivity and specificity. Figure 1 illustrates an example of the overlapping of the number of components. The symbol "∩" represents the intersection of groups. For example, D1∩n denotes the set of negative results obtained for known positive cases, i.e., false negatives.<h4>4 - What is Clinical Specificity?&nbsp;</h4>Clinical Specificity (SP), also known as the True Negative Rate, measures the proportion of true negatives correctly identified by the test. Data from a group of subjects who have been confirmed not to have the disease or condition through a gold standard test (D0 in Table 1) are needed to calculate clinical specificity.The formula for clinical specificity is:&nbsp;SP = tn / (tn + fp), where:&nbsp;<ul><li>tn, True Negatives are the cases where the test correctly identifies the absence of the disease.&nbsp;</li><li>fp, False Positives are the cases where the test incorrectly identifies the presence of the disease when it is actually absent.&nbsp;</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_1_Graphical_representation_of_an_example_of_85ab82a16b.jpg" alt="Eurachem: Figure 1. Graphical representation of an example of tp (D1∩p), tn (D0∩n), fn (D1∩n), and fp (D0∩p). " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_1_Graphical_representation_of_an_example_of_85ab82a16b.jpg 245w," sizes="100vw" width="1300" height="736"><h4>5 - How to calculate the uncertainty of clinical sensitivity and specificity?</h4>Calculating clinical sensitivity and specificity uncertainty involves statistical methods that estimate each parameter's confidence interval (CI). These intervals provide a range of values within which the true sensitivity or specificity is expected to lie with a certain level of confidence, typically 95 %. Please refer to the AQA:2021 for information about statistical models to compute the 95 % CI [1].<h4>6 - How to define targets?&nbsp;</h4>Target minimum values for clinical sensitivity and specificity should be identified. These values may originate from regulations or criteria based on the intended use of the binary results. A target or minimum value for the lower limit of the 95 % CI for result rate, i.e., SS or SP, (LLSS.95 or LLSP.95) or the upper limit of the 95 % CI for result rate (HLSS.95 or HLSS.95) should also be defined according to the purpose of the analysis. The target or minimum value (LLSStg or LLSPtg) is particularly significant when the impact of false results is critical. For example, for blood components used in transfusions, the screening for infectious diseases should be performed with tests associated with an LLSS.95 close to 100 %.&nbsp;Figure 2 illustrates five different tests, each assessed for clinical sensitivity and its associated uncertainty. These cases reflect different levels of compliance with a target sensitivity of 0.5. Case 1 is non-compliant, Cases 2 to 4 are partially compliant, and Case 5 is compliant. From a simplified statistical power view, the laboratory should always take into account the minimum number of samples when defining its target. This number can be estimated by simulation. For example, for a clinical sensitivity of 90 % the evaluation will require a minimum of 10 samples. It should be emphasized that samples must be representative of the target population for a clinical power evaluation - for example, epidemiologically representative samples of the types and subtypes of a given virological agent are required.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_2_Compliance_assessment_with_clinical_sensitivity_a21ece043c.jpg" alt="Eurachem: Figure 2. Compliance assessment with clinical sensitivity uncertainty using the lower 95% confidence interval limit for five performance assessment scenarios. " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_2_Compliance_assessment_with_clinical_sensitivity_a21ece043c.jpg 245w," sizes="100vw" width="1500" height="648">

Performance Assessment of Binary Output Examinations in Medical Laboratories

🎤 Presenter: Wenjing Ma (University of Washington)💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/paper/32777">PDF presentation</a><h3>Abstract</h3>Pseudomonas aeruginosa and Aspergillus fumigatus are major pathogens found in the lungs of Cystic fibrosis patients. Their coexistence worsens lung function and leads to poor clinical outcomes. To investigate their metabolic interactions, we analyzed the volatile space of P. aeruginosa and A. fumigatus using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=2-3-13-7">SPME-GC×GC-TOFMS</a> across four sample classes: Media, P. aeruginosa monoculture, A. fumigatus monoculture, and their co-culture. GC×GC-TOFMS provides high-resolution, high-sensitivity separation of complex metabolomic samples, but it also generates high-dimensional data that can be challenging to analyze.&nbsp;Therefore, feature selection and chemometric methods are essential to extract meaningful information. Additionally, peak table alignment issues due to retention time shifting across samples can in principle hinder the comparative analysis of multiple samples. Hence, we applied tile-based Fisher-ratio analysis using ChromaTOF Tile software to discover analytes that are statistically significant in concentration differences across samples with replicates while minimizing retention-time shifts. This platform generates a comprehensive hit list that links detected analytes across all samples. In summary, our study integrated tile-based analysis to generate a comprehensive peak table that relates all analytes in all samples in terms of up and down regulation of their concentrations. With further analyte identification, we have characterized analytes specific to each sample class to ultimately learn more about Pseudomonas aeruginosa and Aspergillus fumigatus pathogens and their co-culture.<h3>Video Transcription</h3>In this study, Wenjing Ma from the University of Washington presents a data-driven approach for analyzing complex GC×GC–MS datasets, with a focus on volatile metabolites produced by clinically relevant microorganisms. The research centers on the interaction between Pseudomonas aeruginosa and Aspergillus fumigatus, two pathogens commonly found in the lungs of cystic fibrosis patients. Their co-existence is known to correlate with worse clinical outcomes, making the understanding of their metabolic interplay particularly important.The main objective of the work is to identify metabolites that differ significantly between monocultures and co-cultures, thereby revealing biochemical interactions that may influence disease progression.<h4>Experimental Approach</h4>The experimental design includes four distinct sample classes: a media control, monocultures of Pseudomonas aeruginosa and Aspergillus fumigatus, and their co-culture. Samples were prepared using a microfluidic platform and analyzed via headspace sampling, enabling the capture of volatile compounds released during growth.To characterize these samples, comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/37">GC×GC–TOF-MS</a>) was employed. This technique provides high acquisition speed and full mass spectral information, allowing detailed chemical characterization. However, it also generates extremely complex datasets. A single chromatogram may contain up to a million data points, and when multiple samples are considered, the data effectively become four-dimensional. Such complexity makes direct manual interpretation impractical.<h4>Data Processing Strategy</h4>Traditional approaches to data reduction, such as generating peak tables or averaging chromatograms, present significant limitations. Peak alignment can be compromised by retention time shifts, while averaging can reduce resolution through peak broadening. To overcome these issues, the study applies a tile-based feature selection strategy built on statistical analysis.The chromatographic space is divided into small regions, referred to as tiles, and each tile is evaluated using a statistical metric that compares variability between sample classes to variability within classes. This approach allows the identification of features that show the greatest differences across experimental conditions. Importantly, the method is extended to two-dimensional chromatographic data and applied across individual mass channels, enabling a highly detailed and systematic analysis.The workflow is implemented using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/348">Chromatof Tile software</a>, which produces ranked lists of statistically significant features and supports visualization tools such as principal component analysis (PCA) plots for confirming class separation.<h4>Results and Interpretation</h4>Initial inspection of raw chromatograms reveals that while the media control exhibits relatively low signal intensity, the biological samples show highly complex and overlapping patterns. Differences between monocultures and co-cultures are not readily apparent without advanced data processing.Using tile-based analysis, hundreds of statistically significant features were identified. These features provide insight into metabolic behavior. For example, compounds that are abundant in the media but reduced in biological samples are likely being consumed by the organisms. Conversely, compounds that are elevated in specific cultures may represent metabolites produced by one organism or influenced by microbial interaction.The reproducibility of the experimental setup is supported by consistent signal patterns across replicates, indicating reliable sample preparation and data acquisition.<h4>Statistical Evaluation</h4>To further refine the interpretation, pairwise statistical comparisons were performed between all sample classes. This enables identification of specific differences between monocultures and co-cultures, highlighting which metabolites are associated with individual organisms and which are affected by their interaction.The results suggest that certain metabolites are dominant in Pseudomonas aeruginosa monocultures but are altered in co-culture conditions, indicating potential biological competition or suppression mechanisms.<h4>Alternative Approach for Limited Data</h4>Recognizing that biological replicates are not always available in practice, the study also explores an alternative strategy based on the coefficient of variation (CV). This method allows meaningful analysis even when only a single replicate per condition is available, making it particularly valuable for high-throughput or resource-limited experiments.By applying this approach, the researchers were able to identify metabolites showing significant changes across conditions, including compounds uniquely produced or suppressed in specific cultures. One example includes the identification of 1-octen-3-ol, a known fungal metabolite, which serves as validation of the analytical workflow.<h4>Discussion</h4>A key outcome of this work is the demonstration that the choice of statistical method must be aligned with the experimental design. When sufficient replicates are available, variance-based methods provide robust results. In contrast, when data are limited, alternative metrics such as the coefficient of variation offer a practical solution. Additional approaches, such as fold-change analysis, can further enhance interpretation by focusing on relative differences between conditions.The tile-based framework proves particularly effective for handling the complexity of GC×GC–MS data, enabling the extraction of meaningful biological information without compromising resolution.<h4>Conclusion</h4>This study highlights the power of advanced data processing strategies in modern analytical chemistry. Tile-based statistical analysis enables the systematic exploration of highly complex datasets and provides valuable insights into microbial metabolism and interaction. The approach is flexible, scalable, and adaptable to different experimental constraints, making it a strong candidate for broader application in metabolomics and environmental analysis.<h4>Future Perspectives</h4>Future work will focus on integrating chemometric tools to improve compound identification and expanding the analytical framework to support more comprehensive, multi-method data analysis.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote>

Implementing Tile-Based Fisher Ratio Analysis of GC×GC-TOFMS Data to Obtain a Master Peak Table of All Detected Analyte Compounds in Many Petroleum-Based Samples (Wenjing Ma, MDCW 2026)

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 30th March 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you application notes by Agilent Technologies, Thermo Fisher Scientific, brochure by Shimadzu and presentation by MDCW / LECO!<h3>1. Agilent Technologies: Extraction and Analysis of Pesticides from Water by Solid Phase Extraction and GC/MS</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_extraction_analysis_pesticides_water_gcms_5994_8996en_agilent_28fc35d0e7.pdf">Full PDF for download</a></li></ul>Drinking water is defined as water intended for human consumption obtained from different sources. Several guidelines/regulations exist for ensuring that undesirable substances such as pesticides are not present in excessive amounts that may be harmful to human health. These regulations ensure that water intended for human consumption can be consumed safely. In India, the Bureau of Indian Standards (BIS) has set regulatory limits for residual pesticides in drinking water (IS 10500)1 , packaged drinking water (IS 14543)2 , and natural mineral water (IS 13428).3 A total of 26 pesticides are regulated by BIS standards, of which four compounds (monocrotophos, phorate, 2,4-D, and isoproturon) are more suitable for analysis by liquid chromatography.&nbsp;EPA Method 525.2 is a general-purpose method for determination of organic compounds in finished drinking water or water from any source or treatment stage.4 This method is applicable to a range of organic compounds that are partitioned from the water sample onto a C18 organic phase packed in a disk or cartridge. The organic compounds are then eluted using a suitable eluent, concentrated, and analyzed by GC/MS.&nbsp;This application note describes the use of EPA Method 525.2 for extraction of pesticide residues at trace levels in water using solid-phase extraction (Agilent Bond Elut C18: Straight barrel cartridges, p/n 12102118) and analysis using Agilent 8890-5977 GC/MS.&nbsp;Excellent linearity with R2 &gt; 0.995 was obtained for all pesticides considered for the study. Recoveries were obtained in the range of 80–120% with associated RSDs &lt; 15% at 0.005–0.080 ng/mL level of fortification.<h4>Experimental</h4><h5>Instrument parameters</h5><ul><li>GC: <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=8890">Agilent 8890</a></li><li>Column: Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=J%26W+HP-5ms">J&amp;W HP-5ms</a> UI 30 m × 0.25 mm, 0.25 μm&nbsp;</li><li>Carrier Gas: Helium, constant flow, 1.2 mL/min&nbsp;</li><li>Inlet: Agilent Multimode Inlet (MMI)</li><li>MS: <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=5977">5977 GC/MS</a></li></ul><h4>Conclusion&nbsp;</h4>A simple, easy, and efficient method based on EPA 525.2 was implemented for the determination of 22 pesticides in water. The method demonstrated good sensitivity, precision, and accuracy, and allows for rapid analysis. The results demonstrate that pesticide residues can be detected below the current maximum residue levels (MRL) required by the BIS specifications. Acceptable recoveries and precision were obtained at concentrations as low as 5 ng/L for all pesticides. The method is ideally suited for use in a regulatory laboratory for the determination of pesticides in surface, drinking, and packaged drinking water.<h3>2. MDCW / LECO: Exploring PFAS in Consumer Goods Using GCxGC and High-Resolution Mass Spectrometry</h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_3_Alonso_6f61e3ea43.pdf">Full PDF for download</a></li></ul>Per- and polyfluoroalkyl substances (PFAS) are widely used in consumer and industrial products due to their unique physicochemical properties, but their persistence and potential health risks have made their detection increasingly important. This study focuses on developing an untargeted analytical approach for screening PFAS and related compounds in consumer goods using advanced chromatographic and mass spectrometric techniques.The analytical workflow combines gas chromatography with time-of-flight mass spectrometry (GC-TOFMS) and comprehensive two-dimensional gas chromatography coupled with high-resolution TOFMS (GC×GC-HRTOFMS), using systems such as the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1097">LECO Pegasus® BTX </a>and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/38">Pegasus® HRT+</a> platforms. Sample introduction is performed via thermal desorption or pyrolysis, enabling analysis of both volatile and complex matrices. High-resolution MS provides accurate mass measurements and elemental composition, which are essential for identifying unknown compounds and reducing matrix interferences.In the first case study, anti-fog solutions were analyzed and found to contain a wide range of compounds, including fluorotelomer alcohols and related PFAS species. While GC-TOFMS enabled initial screening, high-resolution TOFMS was necessary to characterize unknown compounds through accurate mass determination and complementary ionization techniques (EI and PCI). This approach allowed tentative structural assignment using external databases, demonstrating the importance of HRMS in identifying compounds not present in standard libraries.The second case study focused on chewing gum, a highly complex matrix with diverse chemical constituents and trace-level analytes. The use of GC×GC-HRTOFMS significantly improved chromatographic separation and spectral clarity, enabling detailed profiling of volatile and semi-volatile compounds. A dedicated PFAS screening workflow based on mass defect analysis and spectral filtering was applied, leveraging the characteristic CF₂ patterns of PFAS molecules to simplify data interpretation.Despite the complexity of the sample, no PFAS were detected in the chewing gum, its packaging, or the box. Overall, the study demonstrates that combining GC×GC separation, high-resolution mass spectrometry, and advanced data processing tools provides a powerful and reliable strategy for untargeted PFAS screening in complex consumer products, particularly when unknown or emerging contaminants are of concern.<h3>3. Shimadzu: Gas Chromatograph Nexis GC-2060</h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/c184_e056_06c3456516.pdf">Full PDF for download</a></li></ul>The Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=Nexis+GC-2060">Nexis GC-2060</a> represents a new generation of gas chromatographs, built on over 70 years of GC development and designed to serve as a flexible and future-proof analytical platform. It integrates the concept of Analytical Intelligence, which enables automated system monitoring, troubleshooting, and optimization, helping both experienced and less experienced users achieve reliable and consistent results. The system is highly configurable, supporting up to two injectors, three injection units, and four detectors simultaneously, allowing a single instrument to cover multiple analytical applications.A key advantage of the Nexis GC-2060 is its versatility in sample introduction and detection. The Multi-Mode Injection Unit (MMI) supports a wide range of injection techniques, including split/splitless, PTV, direct injection, large-volume injection (LVI), and thermal desorption, significantly reducing the need for complex sample preparation. The system is also equipped with next-generation detectors such as FID and TCD, offering high sensitivity, stability, and linearity, with additional detector options (ECD, FPD, FTD, BID) enabling broad application coverage.The instrument is designed to maximize laboratory efficiency and minimize downtime. Features such as tool-free column installation (ClickTek), automated startup/shutdown, Easy sTop maintenance mode, and Clean Pilot for automated column conditioning simplify routine operation and reduce manual intervention. In addition, Eco Idling technology automatically optimizes gas and power consumption during standby, significantly lowering operational costs while maintaining readiness for analysis.From an analytical performance perspective, the Nexis GC-2060 delivers excellent reproducibility and sensitivity, supported by advanced autosamplers (e.g., AOC-30) and compatibility with third-party systems. The platform supports hydrogen carrier gas for faster analysis and includes smart gas management features such as automatic gas switching. Its modular design allows seamless integration with various sample preparation systems, autosamplers, and detectors, ensuring adaptability to evolving laboratory needs.Overall, the Nexis GC-2060 combines high performance, operational efficiency, and flexibility in a single platform, making it suitable for a wide range of applications, including pharmaceutical analysis, environmental testing, food analysis, and energy-related measurements. Its scalability and continuous software updates ensure long-term usability and alignment with future analytical requirements.<h3>4. Thermo Fisher Scientific: Accurate multi-component blast furnace gas analysis maximizes iron production and minimizes coke consumption</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/epm_AN_Iron_Production_Prima_PRO_bd5de98b44.pdf">Full PDF for download</a></li></ul>Over a billion tonnes of iron a year are produced in blast furnaces, representing around 94% of global iron production¹. The blast furnace consists of a large steel stack, lined with refractory brick. Iron ore, coke and limestone are dropped into the top of the furnace and preheated air blown into the bottom through nozzles called ‘Tuyeres’. Iron oxides are reduced in the melting zone, or ‘Bosh’, forming liquid iron (called ‘hot metal’) and liquid slag. These liquid products are drained from the furnace at regular intervals, and the blast furnace will run continuously for several years, until the refractory lining needs replacing.Analysis of carbon monoxide (CO) and carbon dioxide (CO₂) give vital information on the efficiency of the reduction processes. Historically, two non-dispersive infrared (NDIR) analyzers were used, one to measure CO, the other CO₂. Additional discrete analyzers were required to monitor oxygen and hydrogen – typically paramagnetic O₂ analyzers and thermal conductivity analyzers for H₂.&nbsp;Thermo Scientific™ process mass spectrometers have been widely used for many years for key gas analysis applications in iron and steel plants, including blast furnace, basic oxygen steelmaking, coke oven gas analysis, secondary steel process control, fuel gas analysis and direct reduction iron processes²<h4>Process control requirements&nbsp;</h4>The advantages of process MS over conventional analysis techniques have been proven over many years in the iron and steel industry. The ability to measure a wide range of components on a single analyzer, coupled with advanced calibration, data transmission, and self-diagnostic software, makes the modern mass spectrometer ideal for integration into the modern plant. On blast furnaces, superior gas analysis is being used to calculate gas efficiency, mass and heat balances, and heat profiles through probe analysis, as well as being an essential tool in the early detection of cooling water leaks and sample system failures.&nbsp;Figure 2 shows 64 hours of data from a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2305">Thermo Scientific™ Prima™ PRO Process MS</a> monitoring the six gases in a blast furnace top gas every 10 seconds. The pulse every 12 hours is generated by an automatic nitrogen blowback from the sample conditioning system, to keep the sample probe clear of particulates.<h4>Hydrogen analysis&nbsp;</h4>An increase in the hydrogen level in the furnace can indicate a leak from the furnace cooling system, as water dissociates into hydrogen and oxygen in the furnace. This has implications both for plant efficiency and plant safety. Water leaks will lower the furnace temperature, causing heat loss and a consequent increase in fuel consumption. In extreme cases, damage to plant and personnel can be caused by ignition of these hazardous mixtures of explosive gases.&nbsp;Figure 4 shows a plot of top gas hydrogen concentration measured by Thermo Scientific process MS over a 24-hour period, with the departure of the measured H2 value from that predicted by the mass balance model indicating a water leak. This leak was caused by the failure of a cooling member, and the furnace was taken off blast for repair. The mass spectrometer’s ability to provide fast, accurate hydrogen analysis removes the need for an additional discrete analyzer.&nbsp;Gas composition measurement is particularly important during the end-of-campaign blowdown that takes place prior to rebuilds and relines, because explosive gas mixtures can be generated.&nbsp;<h4>Probe analysis&nbsp;</h4>The fast analysis provided by MS offers another significant advantage over discrete analyzers—a number of process streams can be analyzed using a single instrument. This is achieved using a fully automated multi-inlet system, designed to switch between sample streams at high speeds with minimal sample flushing times. For example, as well as furnace top gas, the MS can also analyze gases from probes placed above and below the burden (the furnace charge of iron ore, coke and limestone). These are known as above-burden and sub-burden probes and provide valuable information on fuel efficiency, iron conversion and furnace charging. Figure 5 shows a schematic of these two probes; they can be moved across the furnace to build a cross-sectional profile of the furnace.<h4>Summary&nbsp;</h4>Thermo Scientific process mass spectrometers have been successfully monitoring blast furnace off gas at many of the world’s iron and steel companies for over 30 years. For a blast furnace producing 5,000 tonnes a day, a reduction in coke consumption of just 10 kg per tonne of iron produced provides a payback of over $10,000 a day. Users report that the combination of fast, accurate MS gas analysis for gas efficiency, heat and mass balances and hydrogen analysis, with advanced process control and mathematical modeling, has reduced coke consumption by up to 100 kg per tonne and increased iron production. Upgrading to Prima PRO MS can therefore result in complete installation payback within a few weeks.&nbsp;<ul><li>Reduces coke consumption&nbsp;</li><li>Produces consistent quality iron&nbsp;</li><li>Reduces downstream processing costs&nbsp;</li><li>Detects water leaks fast&nbsp;</li><li>Improves thermal control of furnace&nbsp;</li><li>Enables safer operation during blowdown</li></ul>

News from LabRulezGCMS Library - Week 14, 2026

Article

Application

Academy

Video

Presentation

The Multidimensional Chromatography (MDC) Workshop draws experts in this exciting field to share and discuss their research.

The Multidimensional Chromatography Workshop

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.

Eurachem

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Separation Science

Metrohm

Agilent Technologies

LECO

Thermo Fisher Scientific

SelectScience

C&EN

Waters Corporation

Agilent offers high-quality products for Solid Phase Microextraction (SPME) sample preparation. The SPME technique uses polymer phase coated fibers or Arrows to isolate and concentrate analytes from the sample. There are two types of SPME extraction techniques: Headspace (the most used technique) and direct immersion, where the fiber is immersed into a liquid sample. Agilent offers SPME fibers or Arrows in a range of chemistries that can be used with autosamplers or manual injection holders for all application spaces. This presentation will discuss Agilent’s SPME portfolio and offer guidance on phase selections for various applications.<blockquote>Presenter: Mark Sinnott (Application Engineer, Agilent Technologies, Inc.)Mark Sinnott works for Agilent Technologies as a Technical Support Engineer in the Consumables and Supplies Division (CSD). In his position at Agilent, Mark performs technical support and applications assistance to gas chromatographers worldwide. He has more than 22 years of experience in gas chromatography, including environmental analysis of compounds in air, soil and water matrices, including dissolved gas analysis for the electrical industry. Mark holds a Master’s Degree in Chemistry from California State University, Sacramento, and currently resides in Twin Falls Idaho.</blockquote>

Agilent Technologies: Becoming a Better Chromatographer - Educational Webinar Series

Mastering SPME: A Practical Guide for GC Analysts for a SOLID Foundation

Agilent SPME fibers and Arrows: guidance on selecting phases for headspace and immersion techniques in diverse GC workflows.

SPME: Practical Guide for a SOLID Foundation

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div>Analytical determination of pesticides in chili peppers is highly challenging due to the complex matrix, which is rich in capsaicinoids and other lipophilic compounds that can significantly interfere with chromatographic analysis. Conventional chromatographic setups for routine pesticide analysis based on gas chromatography coupled to tandem mass spectrometry (GC-MS/MS) resulted in co-elution problems for several analytes with dominant matrix components.In this study, a method for the determination of a broad spectrum of pesticide residues in fresh and dried chili peppers was developed, optimized, and validated using QuEChERS extraction followed by comprehensive two-dimensional gas chromatography coupled to mass spectrometry (GCxGC-MS, Pegasus BTX).The method was validated in accordance with the requirements of SANTE/11312/2021 (V2). For the majority of target pesticides, recoveries ranged between 70 and 120 %, with relative standard deviations below 20 %. Limits of quantification reached low µg/kg levels despite the complexity of the matrix.Analysis of real samples confirmed the presence of multiple pesticide residues in all analyzed samples, with dried chili exhibiting a higher frequency and concentration of residues compared to fresh chili.These findings confirm the high level of pesticide contamination in chili peppers and demonstrate that GCxGC-MS is a powerful and reliable tool for pesticide residue analysis even in such complex matrices.<blockquote>Presenter: Michal Stupák, PhD (Assistant Professor, Department of Food Analysis and Nutrition | University of Chemistry and Technology Prague, Czechia)</blockquote></div></div></div>

LECO: Advanced GCxGC-MS Strategy for Pesticide Analysis in a Highly Complex Chili Pepper Matrix

Advanced GCxGC-MS Strategy for Pesticide Analysis in a Highly Complex Chili Pepper Matrix

GCxGC-MS (Pegasus BTX) combined with QuEChERS provides robust, SANTE-compliant pesticide residue analysis in complex chili pepper matrices.

GCxGC-MS for Pesticide Analysis in Chili Pepper Matrix

Per- and polyfluoroalkyl substances (PFAS) are now recognized as one of the most pervasive classes of environmental contaminants worldwide. Found in water, soil, air, and consumer products, their chemical diversity is vast and regulatory scrutiny is intensifying. As governments move from managing individual compounds to regulating PFAS as a class, the question is no longer whether PFAS are present, but whether we are measuring them accurately and comprehensively.Current regulatory methods, such as EPA Method 1633, are robust and defensible for targeted compounds, but they only tell part of the story. Research increasingly shows that targeted PFAS testing can miss more than 80% of the total PFAS load in complex environmental and industrial samples. This gap creates significant blind spots, leaving analytical laboratories, manufacturers, and environmental compliance teams vulnerable to underestimating risk, mischaracterizing contamination, and falling behind emerging regulatory expectations.At the same time, global regulations are evolving faster than analytical standards. Requirements under EU REACH, expanding US EPA guidance, and international drinking water and waste regulations are pushing toward broader PFAS accountability, often without clear consensus on how total PFAS should be measured, validated, or reported. This mismatch between regulatory intent and analytical capability is at the heart of the PFAS measurement crisis.Join our expert roundtable discussion – held in partnership with Restek – to explore how next-generation analytical standards and Non-Targeted Analysis (NTA) approaches are helping to close the PFAS data gap, improve decision-making, and prepare organizations for the next phase of PFAS regulation.<h4>Key learning outcomes</h4><ul><li>Hidden contamination risks: why current PFAS monitoring techniques may overlook critical compounds and what is needed to close the data gap.</li><li>Analytical strategies: proven approaches to overcome complex matrix challenges and ensure results are scientifically and legally defensible.</li><li>Global regulatory landscape: Insights into evolving PFAS restrictions, including EU REACH, US EPA guidelines, and best practices for staying ahead of emerging compliance requirements.</li><li>International harmonization: The path toward global PFAS standards for effective environmental management and reporting.</li></ul><h4>Who should attend?</h4><ul><li>Laboratory managers and analytical chemists working with LC-MS/MS, GC-MS, and other advanced techniques.</li><li>EHS (environmental, health, and safety) professionals and regulatory compliance officers managing PFAS risk.</li><li>Environmental consultants validating remediation technologies and destruction methods.</li></ul><h4>Certificate of attendance</h4>If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.<blockquote>Moderator: Lucy Lawrence (Science Editor, SelectScience)</blockquote>

SelectScience: The PFAS measurement crisis: A roundtable discussion

The PFAS measurement crisis: A roundtable discussion

Learn why targeted PFAS testing misses most compounds and how non-targeted analysis and new standards can improve PFAS measurement and regulatory readiness.

PFAS measurement crisis: A roundtable discussion

Gas chromatography (GC) is a proven technique for analyzing pesticide compounds in food matrices. However, recent regulatory changes, including the chlorinated‑solvent ban, pesticide‑method consolidation, tighter expectations for reduced‑volume extraction, and rising demands for sensitivity and column lifetime in complex matrices, are reshaping analytical requirements.These shifts also highlight the growing need for matrix resilience, extended instrument lifetime, and consistent calibration performance. Together, these pressures underscore the demand for a GC solution capable of not only meeting but exceeding modern detection requirements.Hear from a panel of three GC-MS and GC-MS/MS experts in this SelectScience® webinar as they share real-world data on how the latest column deactivation technology and unique formats in GC can overcome these challenges. From analyzing fruits and vegetables to cereals and legumes, discover how you can adopt a robust and resilient testing strategy with a next-generation GC column for multi-pesticide testing.<h4>Key learning objectives:</h4><ul><li>Learn how to improve your lab throughput using the latest GC column technology.</li><li>Uncover GC-MS/MS bottlenecks and optimization tips and tricks.</li><li>Understand how robustness, sensitivity, and column resilience can enhance lab throughput for multi-pesticides analysis by GC triple quad (GC-MS/MS).</li></ul><h4>Who should attend?</h4><ul><li>Analytical chemists interested in learning about GC triple quad (GC-MS/MS) method optimization.</li><li>Food and environmental lab chemists interested in extending their GC column’s lifetime.</li><li>Scientists looking to enhance their multi-pesticides method.</li></ul><h5>Certificate of attendance</h5><ul><li>If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.</li><li>If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.</li></ul><blockquote>Presenter: Laura Schütz (Research &amp; Development Professional, Eurofins Dr. Specht Express Testing &amp; Inspection GmbH)Laura Schütz studied food chemistry and is a Research and Development Professional at Eurofins Dr. Specht Express Testing &amp; Inspection GmbH in Hamburg. She leads the planning, execution, and scientific coordination of R&amp;D projects, guiding new research ideas through method development and into routine analytical operations. Collaborating with measurement technology, sample management, and quality management teams, she contributes to method validation and the development of SOPs and work instructions.Presenter:&nbsp;Dr. Ramkumar Dhandapani (Director of Product Management, Restek Corporation)Dr. Ramkumar Dhandapani holds a PhD in analytical chemistry and has over 23 years of experience in the chromatography industry. Dr. Dhandapani specializes in method development, validation, and troubleshooting of chromatography methods. He has developed numerous regulatory-compliant methods across diverse sectors, including environmental analysis, food quality and safety, pharmaceutical, fuels, and chemical industries.Presenter:&nbsp;Dr. Alexander Zahm (Managing Director, Eurofins Dr. Specht Express Testing &amp; Inspection GmbH)Dr. Alexander Zahm is Managing Director of Eurofins Dr. Specht Express Testing &amp; Inspection GmbH in Hamburg, overseeing strategic and operational management of a specialized pesticide laboratory using advanced GCMS/MS and LCMS/MS technologies. Formerly a technical manager at Eurofins, he brings extensive expertise in laboratory management, process optimization, quality management, and digital capacity planning. A trained food chemist with a focus on coffee research, he now drives innovation in analytics, sample logistics, and customer processes, supports international projects, and serves as an expert in food safety and residue analysis.Moderator: Olivia Long (Editorial Team, SelectScience)</blockquote>

Restek Corporation: Cracking the toughest food matrices with advanced GC column technology

Cracking the toughest food matrices with advanced GC column technology

Multi-pesticide GC-MS/MS analysis covering new GC column technologies, method optimization, robustness, and improved throughput in food testing labs.

Food matrices with GC column technology

<div><h4>Navigating Challenges and Opportunities for Environmental Testing Labs Under the Revised EU Water Framework Directive</h4>The European Commission’s proposed updates to the Water Framework, Groundwater, and Environmental Quality Standards Directives are bringing new responsibilities and opportunities for environmental testing labs. With expanded pollutant lists - including PFAS, pharmaceuticals, and pesticide metabolites—and stricter monitoring and reporting requirements, the landscape of water analysis is rapidly evolving.Join the 4th Waters Environmental Webinar Series to explore how your lab can navigate these challenges and turn regulatory change into opportunity.Register for free and partner with us to shape the future of European water quality.<h5>Why Attend</h5>Stay ahead of new EU regulatory demands with insights from leading experts. Gain practical guidance, share experiences with peers, and prepare your lab for the next generation of water quality standards.<h5>Highlights</h5><ul><li>New pollutant categories and analytical challenges</li><li>Updates to monitoring protocols and reporting</li><li>Innovative methods to meet revised Environmental Quality Standards</li><li>Strategic guidance for compliance and adaptation</li></ul>Lead the change in water analysis—stay ahead, stay compliant, and make a real impact.<h4>EPISODE 1: GC-MS/MS Under Atmospheric Pressure – What are the benefits for Dioxin and Pyrethroid analysis?</h4><h5>What You Will Learn</h5><ul><li>How to reach highest sensitivity for Pyrethroids in aqueous samples</li><li>How to bring POP's analysis in environmental samples to an easy, flexible, and robust level</li><li>How to overcome the helium shortage - nitrogen as an alternative GC-carrier gas</li></ul>Join and partner with us to shape the future of European water quality.<blockquote>Presenter: Matthias Ruff (Co-Fachbereichsleiter Umweltanalytik, Bau- und Verkehrsdirektion des Kantons Bern *BVD)Dr. Matthias Ruff completed his dissertation at the University of Bern and ETH Zurich. He then pursued postdoctoral research at Eawag's Department of Environmental Chemistry. Since 2016, Dr. Ruff has been working for the Canton of Berne at the Laboratory for the Protection of Water and Soil. His expertise lies in Analytical Chemistry, with a focus on techniques such as LC-MSMS, LC-HRMS, GC-MSMS, and APGC-MSMS. The title of his presentation will be: easureing Pyrethroid- and other Insecticides in low pg/L-levels using AP-GC-MSMS – Experiences, Facts and TasksPresenter: Daniel Dahlberg (Head of Development, SGS Environmental, Sweden)Daniel works as head of development at SGS Environmental Sweden, previously SYNLAB Analytics &amp; Services and before that Alcontrol. In his current position he is working on new products for the SGS analytical portfolio, where analytical performance needs to be in line with regulations and client. In recent years they’ve been analysing around 5000 dioxin samples per year in diverse environmental matrices and food &amp; feed. Daniel previously held a position as technical specialist in organic analytical chemistry, with a focus on trace analysis with GC-MS (GC-MS, GC-MSMS and GC-HRMS), where he worked with method development and analysis of POPs. He started his career in dioxin analysis in 2010 on a magnetic sector instrument and in 2014 we started verification of performance on APGC and later on EI-GC-MSMS as well.Presenter: Cliff Svenman (Technical Specialist, SGS Analytics Sweden)Cliff has spent 10 years as an analytical chemist working in an environmental contract lab with a focus on dioxins and PCBs. His main duties are method development, sample analysis and technical support. He started using APGC in 2017 and has developed several methods for the system since then.Presenter: Frank Dorman (Senior Principal Market Development Mgr Waters)Frank Dorman is currently Senior Business Development Manager at Waters, focusing on their global environmental business, and, concurrently, a resident scholar in the Chemistry Department at Dartmouth College in Hanover, NH. In his role at Waters, Dorman manages the research-focused environmental market, external collaborations, and interfaces with R&amp;D for new product development. Prior to this, he was an associate professor in the Department of Biochemistry and Molecular Biology (BMB) at Penn State University in University Park, PA. Dorman’s scientific interests are in gas and liquid chromatography and fundamental characterization, instrumentation and column development, and mass spectrometry and atomic spectroscopy applied to trace analysis in complex sample matrices.Presenter: Janitha De-Alwis (JD), Principal F&amp;E Market Development Manager, Waters CorporationJanitha De-Alwis (known as JD) is an applications chemist in the European demo lab, based in Wilmslow, UK. His main role focuses on application development work for the food and environmental sector. JD takes great pride in speaking to, and advising, many food and environmental customers. His position requires him to be reactive and proactive to the changes in the food industry, such as changing regulations, topical issues and food safety risks.</blockquote></div>

GC-MS/MS Under Atmospheric Pressure – What are the benefits for Dioxin and Pyrethroid analysis?

Webinar on EU Water Framework Directive updates, new pollutant requirements, and advanced GC-MS/MS strategies for dioxins and pyrethroids analysis.

GC-MS/MS Under Atmospheric Pressure

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div>The performance and safety of lithium-ion batteries (LIBs) are fundamentally linked to the structural and chemical stability of their electrode materials and electrolytes. This presentation explores the application of Raman spectroscopy as a non-destructive, high-resolution diagnostic tool for characterizing the electrode materials. Unlike traditional X-ray diffraction, Raman spectroscopy is very sensitive to local chemical environments, lattice dynamics, and amorphous phases, making it ideal for monitoring postsynthetic impurities, phase transitions, lithium-ion intercalation processes, and possible degradation mechanisms.The presentation highlights the transition from static characterization to in situ and operando techniques, which allow for real-time observation of ionic transport and structural changes under actual operating conditions. By correlating Raman spectral changes with electrochemical performance, this diagnostic approach provides insights for optimizing material synthesis and further enhancing the energy storage safety.<h5>By attending this webinar, you will:</h5><ul><li>Understand how Raman spectroscopy is applied as a non-destructive technique to characterize lithium-ion battery electrode materials and electrolytes.</li><li>Recognize the sensitivity of Raman spectroscopy to local chemical environments, lattice dynamics, amorphous phases, and degradation mechanisms.</li><li>Explain the role of in situ and operando Raman techniques in monitoring phase transitions and lithium-ion intercalation under operating conditions.</li><li>Relate Raman spectral changes to electrochemical performance to support material optimization and battery safety.</li></ul><blockquote>Presenter: Dominika Buchberger, PhD (Scientific Project Manager, Laboratory of Energy Storage Technologies and Applied Radiochemistry (LESTAR), Faculty of Chemistry, University of Warsaw)</blockquote></div></div></div>

SeparationScience: Raman Spectroscopy for Li-ion Battery Material Diagnostics

Raman Spectroscopy for Li-ion Battery Material Diagnostics

Presentation explores application of Raman spectroscopy as non-destructive, high-resolution diagnostic tool for characterizing electrode materials.

Modern analytical and R&amp;D teams need to do more than quantify a single parameter or identify a problem; they need direct chemical insight. Raman spectroscopy uniquely reveals functional groups, identifies materials, and quantifies real‑time chemical changes, making it a powerful complement to traditional analytical tools. In this webinar, we introduce the next‑generation Metrohm i‑Raman NxG and the i‑Raman Duo, advanced benchtop Raman systems that bring molecular‑level clarity to excipients, APIs, polymers, formulated products, and reaction-monitoring environments.Attendees will learn how different Raman wavelengths and sampling interfaces provide insights into chemical, pharmaceutical, biological, and materials applications with real-world examples that illustrate the possibilities form discovery to scale-up. We will demonstrate how full-spectrum coverage with the i-Raman Duo extends measurement capability into the high‑wavenumber CH/NH/OH stretching region, expanding what can be monitored, modeled, and understood with a single instrument.Finally, this session will introduce how the new SpecSuite software streamlines exploration work, chemometric method development, and routine deployment in a single 21 CFR-Part 11 ready environment. Whether you’re developing a new process, formulating new chemistry, doing fundamental research, or just wanting to simplify a routine analysis, this session will show how Metrohm’s evolving Raman portfolio delivers deeper insight, greater flexibility, and a more intuitive path from research to routine to process.<h4>Who Should Attend?</h4><ul><li>Researchers working with APIs, excipients, polymers, catalysts, or complex mixtures</li><li>Scientists tracking hydration, functional groups, or structural change</li><li>Teams performing reaction monitoring or materials characterization</li><li>Analysts exploring Raman beyond basic identification</li><li>Labs evaluating Raman as a complement to NIR, IR, or wet chemistry</li></ul><h4>Key Learning Points</h4><ul><li>How next‑generation Raman reveals deeper chemical insight</li><li>What the Duo adds to the NxG</li><li>Using Raman for reactions, formulations, and kinetics</li><li>How SpecSuite connects R&amp;D → Routine</li></ul><blockquote>Presenter: Dr. Adam J. Hopkins (Spectroscopy Product Manager, Metrohm USA)Dr. Adam J. Hopkins is the Spectroscopy Product Manager for handheld and laboratory instruments at Metrohm USA since 2016. He has a Ph.D. in chemistry from the University of Oregon where he studied nonlinear optical spectroscopy under Geraldine Richmond. Between graduate school and Metrohm, Adam worked developing spectroscopic solutions for standoff and noncontact sensing applications using LIBS, Raman, and other novel techniques. Dr. Hopkins is a member of the American Chemical Society, Society for Applied Spectroscopy, Coblentz Society, and SPIE. He is the author of over 20 peer-reviewed papers and proceedings and three patents.</blockquote>

Metrohm: Full-Spectrum Raman for Research, Development, and Process Understanding

Full-Spectrum Raman for Research, Development, and Process Understanding

Webinar on Metrohm i-Raman NxG and Duo for molecular insight, reaction monitoring, and chemometrics in a 21 CFR Part 11-ready environment.

Full-Spectrum Raman for Research, Development

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div>Join this practical, admin-focused session to get more out of the Thermo Scientific Chromeleon Administration Console. We’ll walk through proven tips, lesser-known features, and real-world best practices that help simplify user management, control access, improve performance, and reduce day-to-day admin headaches.<ul><li>Work smarter, not harder – Learn time-saving shortcuts and new features that streamline routine admin tasks.</li><li>Avoid common pitfalls – Discover best practices that help maintain system stability, security, and compliance.</li><li>Get expert insights – Pick up practical guidance you can apply immediately in your Chromeleon environment.</li></ul>This session is designed for anyone wanting to learn more about administration of Chromeleon CDS. &nbsp;Learn how to configure, maintain and support your Chromeleon software environment. You should attend if you want to learn how to manage users and permissions, control access and security, or discover best practices to reduce day-to-day admin effort. Get practical, immediately usable tips to keep your Chromeleon setup running smoothly, securely, and compliantly.Cannot attend the broadcast on February 26? Please register anyway to automatically receive the link to the recording.<blockquote>Presenter: Darren Barrington-Light (Senior Manager, Product Marketing, Thermo Fisher Scientific)Darren Barrington-Light’s background includes over 25 years of experience in the field of analytical chemistry, chromatography hardware and computer software. Having worked in chromatography throughout his career, Darren has a unique understanding of the requirements of organizations that rely on chromatography data to manage their day to day operations. As capabilities have advanced, he has worked with clients across multiple industries to show them how software solutions can help them to improve their day to day operations and drive fast, informed decisions.</blockquote></div></div></div>

Thermo Fisher Scientific: Chromeleon Admin Console I: Expert Tips and Tricks

Chromeleon Admin Console I: Expert Tips and Tricks

Chromeleon Administration Console webinar: improve user management, security, performance, and compliance with practical admin best practices.

The Agilent Oil and Gas Insights Series 2026 presents three focused webinars showcasing advanced analytical solutions for natural gas and petrochemical applications. The series covers end‑to‑end natural gas characterization — from compositional analysis to sulphur detection and calorific value determination — followed by a deep dive into liquid chromatography workflows for petroleum products using the Agilent InfinityLab LC Series. The final session highlights fast, robust Micro‑GC technologies for mudlogging, hydrogen‑blended gas monitoring, and odorization control. Together, these sessions equip laboratories and operators with the tools to enhance accuracy, efficiency, and compliance across the energy value chain.<h3>Part 2: Mud Logging and Natural Gas Solutions for Micro-GC</h3>During this session we will present an overview of Micro-GC based solutions for different segments in Natural Gas Analysis. These include solutions for Mudlogging, analysis of (Hydrogen Blended) Natural gas, Odorization Control.<blockquote>Presenter: Rob de Jong (Product Manager Micro GC, Agilent Technologies)Rob de Jong is Product Manager for Micro GC at Agilent. He has a background in Analytical Chemistry Science. After getting a BSc degree in Hogeschool Utrecht / University of applied sciences, he has been working in field of (mainly gas) Chromatography for over 30 years, holding different positions in sales, R&amp;D, application development, project and product management. After being involved in the initial R&amp;D development hase of the 4900 Micro GC PRO early 2000s, he has reconnected with the Micro GC product as Product manager in Agilent.</blockquote>

Agilent Technologies: Agilent Oil and Gas Insights Series 2026

Mud Logging and Natural Gas Solutions for Micro-GC

During this session we will present an overview of Micro-GC based solutions for different segments in Natural Gas Analysis. 

<h4>The Problem</h4>Lab automation promises speed and scale, but too often it operates without intelligence. Researchers must translate scientific intent into rigid workflows, scripts, and parameters — requiring deep expertise and constant manual intervention. As experiments grow more complex, automation becomes harder to adapt, forcing scientists to rely on guesswork and slowing iteration.<h4>The Solution</h4>Stuntman brings native AI into automation to fundamentally change how experiments are run. With built-in intelligence, Stuntman allows researchers to describe their intent in plain language and have experiments designed, executed and analyzed end-to-end. Stuntman creates workflows, runs experiments, logs results, and hands data back for AI-driven interpretation – guiding experiments forward with clarity, adaptability, and purpose.<h4>The Proof</h4>In this webinar, see how Stuntman turns ideas into executable experiments across pharma, biopharma, materials, energy, consumer goods workflows, and more. Learn how Stuntman’s built-in AI enables experiment design, automated execution and rapid iteration — all on a single, integrated platform.<h4>Key Learning Objectives:</h4><ul><li>Understand why traditional lab automation struggles to scale with experimental complexity and where intelligence is missing.</li><li>See how Stuntman embeds native AI into automation workflows to translate scientific intent into executable experiments.</li><li>Learn how a fully integrated platform connects experiment design, execution, data logging, and AI-driven iteration across industries.</li></ul><blockquote>Presenter: Ruja Shrestha (Product Manager, Unchained Labs)Presenter:&nbsp;Sara Kobilka (Contributing Editor, C&amp;EN Media Group)</blockquote>

C&EN: Explode into AI-driven Automation with Stuntman

Explode into AI-driven Automation with Stuntman

AI-powered lab automation with Stuntman—design, execute, and iterate experiments end-to-end on one integrated platform.

Related content

News from LabRulezGCMS Library - Week 14, 2026

Implementing Tile-Based Fisher Ratio Analysis of GC×GC-TOFMS Data to Obtain a Master Peak Table of All Detected Analyte Compounds in Many Petroleum-Based Samples (Wenjing Ma, MDCW 2026)

Performance Assessment of Binary Output Examinations in Medical Laboratories