<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

New Food magazine

BÜCHI

Metrohm

Agilent Technologies

Technology Networks

Bruker

C&EN

The speed of NIR spectroscopy in analyzing a vast range of analytes can streamline several processes in the food and feed industry. Rapid analysis can improve productivity and reduce quality control and development costs. Results can be gained in seconds as opposed to hours.
During the webinar find out:
<ul>
<li>What is a Calibration and why do we need to develop them?</li>
<li>Is it possible to calibrate any parameter?</li>
<li>What are the steps I need to follow for calibration development?</li>
<li>How many samples do I need and how do I select them?</li>
<li>How can we judge the performance of a calibration?</li>
</ul>
and many more...
<blockquote>
Presenter: Marko Stojkovic (Head of NIR Training and Education, Büchi Labortechnik AG)
</blockquote>
<blockquote>
After finishing his studies in Pharmaceutical Sciences and PhD in Analytical Sciences, he has joined BUCHI for almost a decade now, applying the knowledge acquired over the years.
</blockquote>
<blockquote>
Presenter: Estefania Perez Fernandez (Application Specialist NIR, Büchi Labortechnik AG)
</blockquote>
<blockquote>
I first joined the NIR world during my pre- and post-doctoral research studies. I joined the NIR group at BUCHI six years ago, and overall I accumulate over 15 years of experience with the NIR technology. Time flies when you work with NIR!
</blockquote>
<blockquote>
Presenter: Eduard Wiedenbeck
</blockquote>
<blockquote>
Dr. Eduard Wiedenbeck holds a PhD in chemistry from the University of Konstanz, Germany. His pre- and post-doctoral research projects have focused on analytical chemistry including techniques for protein determination. He joined BUCHI Labortechnik AG in 2020 as a Product Specialist.
</blockquote>
<blockquote>
Presenter: Maren Sander (Product Manager Extraction and Parallel Evaporation, Büchi Labortechnik AG)
</blockquote>
<blockquote>
Mrs. Maren Sander received her Diploma in Physical Chemistry from University of Oldenburg, Germany. She joined BUCHI Labortechnik 15 years ago, first as an application chemist and currently as product manager for pressurized solvent extraction and parallel evaporation.
</blockquote>
<blockquote>
Presenter: Branko Vranic (Head of Application Development, Business Area NIR, Büchi Labortechnik AG)
</blockquote>
<blockquote>
Mr. Branko Vranic obtained his PhD in Pharmaceutical Technology and Industrial Pharmacy at the University of Basel, Switzerland. He joined BUCHI 12 years ago as Application and Training Specialist NIR and is currently head of NIR application development team.
</blockquote>
<blockquote>
Presenter: Sonja König (Product Specialist NIR, Büchi Labortechnik AG)
</blockquote>
<blockquote>
Dr. Sonja König holds a PhD in Chemistry from University of Tübingen, Germany. She has gained experience with diverse analytical methods during her career. Since 2019, she is working for Büchi Labortechnik AG as a Specialist in the field of NIR analyses.
</blockquote>

Büchi: All you need to know for successful NIR calibration development

All you need to know for successful NIR calibration development

Rapid NIR analysis can improve productivity and reduce quality control and development costs. Results can be gained in seconds as opposed to hours.

Successful NIR calibration development

Effective oil and condition monitoring enables proactive maintenance strategies and minimizes unexpected failures of machinery such as turbines.
By closely monitoring the condition of lubricating oils, maintenance professionals can reduce downtime, extend equipment lifespan and identify potential issues before they escalate. Antioxidants are often added to mitigate these issues, which makes monitoring these chemicals critical for equipment performance. 
Join Paul Swan, Technical Manager, APAC at ALS Tribology, and Larry Tucker, Director of Norms and Standards at Metrohm USA, as they discuss vital aspects of oil and condition monitoring and the importance of antioxidants in tribology. Gain valuable knowledge on ASTM methods and discover the latest insights into improvements being made in these areas. 
Key Learning Objectives:
<ul>
<li>Importance of antioxidants in lubricants and their impact on equipment performance
</li>
<li>How to use voltammetry as a tool to monitor remaining useful life on antioxidants in lubricating oils
</li>
<li>Importance of oil analysis in predictive maintenance strategies
</li>
<li>Understanding the significance of condition monitoring in preventing unexpected failures
</li>
<li>Insights into developments aimed at refining ASTM methods
</li>
</ul>
Who Should Attend:
<ul>
<li>Anyone currently monitoring remaining useful life of antioxidants in lubricating oils
</li>
<li>Anyone using ASTM methods for oil and condition monitoring
</li>
<li>Laboratories, equipment manufacturers, oil and additive producers and electric utilities looking to monitor oil conditioning and antioxidant levels in use
</li>
</ul>
<blockquote>
Presenter: Paul Swan (Technical Manager APAC, Australian Laboratory Services, Tribology)
</blockquote>
<blockquote>
Presenter: Larry Tucker (Director of Norms and Standards, Metrohm USA)
</blockquote>
<blockquote>
Presenter: Melissa O&#39;Meara (Forensic Science Consultant, C&amp;EN Media Group)
</blockquote>

C&EN: Exploring Methods for Antioxidants, Oil & Condition Monitoring in Tribology

Exploring Methods for Antioxidants, Oil & Condition Monitoring in Tribology

Vital aspects of oil and condition monitoring and the importance of antioxidants in tribology.

Exploring Methods for Monitoring in Tribology

The Cary 7000 UV-Vis-NIR system can be used to collect high quality data which can then be used to characterize optical coatings.
We will examine the techniques for determining film thickness, index of refraction, etc. through the use of a Cary 7000 UV-Vis-NIR system.
<blockquote>
Presenter: Mark Fisher, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Mark, an Application Scientist for Agilent Technologies, has over 35 years of experience in molecular spectroscopy. He has held roles in Agilent&#39;s UV-Vis-NIR, fluorescence, and atomic absorption product portfolios. In addition to identifying industry trends and new business needs, Mark&#39;s responsibilities include application development, pre and post-sales support, as well as acting as a customer advocate for new product and technology opportunities. Mark received his doctorate in analytical chemistry from the University of Nebraska-Lincoln.
</blockquote>

Agilent Technologies: Measuring and Analyzing Optical Coatings by UV-Vis-NIR

Measuring and Analyzing Optical Coatings by UV-Vis-NIR

Techniques for determining film thickness, index of refraction, etc. through the use of a Cary 7000 UV-Vis-NIR system.

Moving from Benchtop to Inline is the latest trend in the dairy industry and we want to help you understand the value, both from a quality and profit standpoint.
The ever-changing dairy industry requires new technologies and solutions to remain profitable. With the move to mega dairies, optimisation is required for processors to stay competitive. 
During this live webinar, we will discuss Bruker’s portfolio, the difference in technology from FT-IR vs. FT-NIR and how it works. We will explore applications from raw milk to finished products and where they may fit into your process. Bruker has the right solution to maximise profits and minimise process variation in your facility. 
Learning objectives:
<ul>
<li>Learn about new trends in the dairy processing industry to save you time and money
</li>
<li>Learn about a variety of applications to enhance your production and analysis
</li>
<li>Discuss these applications from raw milk to finished product to keep you competitive
</li>
<li>Listen to industry experts about how to minimise process variation and maximise profits – bring your questions!
</li>
</ul>
<blockquote>
Presenter: Shannon Conrad (Feed Business Development and SE Regional Sales Manager offering FT-NIR solutions into Agriculture, Bruker Optics)
</blockquote>
<blockquote>
Shannon Conrad is the North American Business Development and Key Account manager offering FT-NIR solutions into Agriculture for Bruker Optics. She graduated in 1997 with BS in Animal Science from University of Georgia and has been working in animal nutrition for the past 25 years. She worked for Purina Mills/Land O’Lakes in manufacturing &amp; operations for 10 years and has been in sales for the last 15, including owning her own Purina Dealership. Her multi-divisional background and experience in Agriculture drives her passion for helping customers solve opportunities and finding new, valuable solutions for the agricultural markets. 
</blockquote>
<blockquote>
Presenter: Cassandre Juzaitis-Boelter (Applications Specialist, Bruker Optics)
</blockquote>
<blockquote>
Dr. Juzaitis-Boelter earned both her Ph.D. in Poultry Science and her B.S.A. in Avian Biology from the University of Georgia. Academically trained as a monogastric nutritionist, Dr. Juzaitis-Boelter focuses upon FT-NIR solutions for Food and Agricultural systems and actively works to enhance the measures of quality control for raw materials and finished products in the FAS market through calibration maintenance and development.
</blockquote>
<blockquote>
Presenter: Fernando Jose Munoz (Research Scientist)
</blockquote>
<blockquote>
After completing a four-year contract with the United States Air Force as a medical scientist, I joined the Daisy Brand Research and Development Department in 2006 as a Research Scientist responsible for developing wet and analytical chemistry testing. Early in 2023, I transitioned from the R&amp;D Department to the Quality Assurance Department responsible for overseeing all of Daisy Brand’s plant laboratory analytical instrumentation and improving testing laboratory efficiency.
</blockquote>

New Food: From FT-IR to FT-NIR: new technology drives a new future for dairy

From FT-IR to FT-NIR: new technology drives a new future for dairy

The difference in technology from FT-IR vs. FT-NIR and how it works.

From FT-IR to FT-NIR: new technology drives a new future

Are you involved in QC of edible oils and oil seeds in the lab or in production? Learn how to use FT-NIR spectroscopy for quantification, identification and authentication of edible oils like olive oil and more in virtual workshop with expert advice and hands-on demonstrations. Discover why FT-NIR spectroscopy is a powerful alternative to conventional technologies.
FT-NIR spectroscopy will not only analyze the general composition of the oil to know if it is fit-for-purpose for the given task and if the quality is according to the standards. It can also determine oxidation parameters to assess the shelf life of the product. Dedicated examples like the analysis of olive oils, frying fats and marine oils will be featured.
<h5>Agenda:</h5>
<ul>
<li>Dagmar Behmer of Bruker Optics will explain how FT-NIR spectroscopy works and give an overview on Bruker’s rugged FT-NIR analyzers. The portfolio ranges from small footprint, touch screen operated analyzers to fully automated in-process systems for the analysis of oilseeds and finished oils throughout the entire manufacturing process. You will learn about the available calibration packages for the various oil types and which parameters are included.
</li>
<li>A hands-on demonstration from Bruker’s application lab will show the ease of use of FT-NIR spectroscopy for the analysis of oils as well as oilseeds. This demo will give you an idea how you can implement it into your lab routine. 
</li>
<li>Sven Seifer from Maxfry will talk about how FT-NIR helped to speed up their development of additives for the frying industry and how it is used in their daily QC routines. Moreover, Maxfry developed analytical services for the assessment of olive oils based on FT-NIR to determine the age, remaining shelf-life, identity, possible debasement, quality characteristics and aroma profile of the product. A tool on which a range of private and public institutes, as well as numerous testing bodies, already rely on.
</li>
<li>Live Q&amp;A where we will answer your questions regarding the use of FT-NIR spectroscopy.
</li>
</ul>
<h5>Key Learning Points</h5>
<ul>
<li>Discover Bruker’s portfolio of analytical solutions for the edible oils and oilseeds industry.
</li>
<li>Learn how FT-NIR can be utilized for analyzing quality and authenticity of edible oils &amp; fats in the lab as well as online.
</li>
<li>See how Maxfry implemented FT-NIR spectroscopy in their daily routine analysis and for their analytical services for olive oil.
</li>
</ul>
<h5>Who Should Attend?</h5>
The webinar will appeal to anybody involved in quality control of edible oils &amp; fats, but also oilseeds in the laboratory or production floor. It will also be relevant to people working in the food industry using oils and fats in their production process.
<blockquote>
Presenter: Sven Seifer (Maxfry GmbH, Technical Sales Manager)
</blockquote>
<blockquote>
Sven Seifer works for Maxfry GmbH since its foundation in 2002. After receiving a vocational training in a B2B communication agency, he is today leading the marketing communication as well as the technical sales at Maxfry.
</blockquote>
<blockquote>
With his broad knowledge of edible oils and FT-NIR spectroscopy, he is well versed in advising customers about technical aspects of oils as well as how NIR can be utilized to obtain as much information as possible about the various types of oil.
</blockquote>
<blockquote>
Presenter: Dagmar Behmer (Bruker Optics, Marketing Manager Applied Spectroscopy)
</blockquote>
<blockquote>
Dagmar Behmer holds an MSc degree in Analytical Chemistry and is today Marketing Manager of the Applied Spectroscopy business area of Bruker.
</blockquote>
<blockquote>
She is looking back on more than 25 years of experience with FT-NIR spectroscopy, focusing on food and agricultural applications and edible oils &amp; fats in particular.
</blockquote>
<blockquote>
Dagmar published several papers on olive oil and frying fats as well as book chapters on non-destructive analysis of food with FT-NIR spectroscopy. She is member of AOCS American Oil Chemists&#39; Society) and the DGF (Deutsche Gesellschaft für Fettwissenschaft).
</blockquote>

Bruker: Oils, Seeds and more: Quality Control with FT-NIR along the Production Chain

Oils, Seeds and more: Quality Control with FT-NIR along the Production Chain

Learn how FT-NIR Spectroscopy can upgrade your QC.

Oils, Seeds and more: Quality Control with FT-NIR

Get ready to dive into the thrilling world of process analytics - game show style!
Join us for an engaging and educational event as you showcase your knowledge by answering questions to discover how process analyzers can be equipped with titration, ion chromatography or spectroscopy to solve even the toughest challenges.
Our hosts, Elena Hagemann, Product Manager for Process Spectroscopy, and Kraig Kmiotek, Product Manager for Process Wet Chemistry, will test your knowledge while introducing the FUNdamentals of process analytics and unraveling practical insights that can be applied in real-world situations.
Whether you&#39;re a seasoned expert or just curious about the basics, this interactive event promises to educate and entertain, combining the fun of a game show with the science and engineering of process analytics.
Register now, don’t miss out on the end-of-the-year fun!
<blockquote>
Presenter: Kraig Kmiotek (Product Manager for Process Wet Chemistry, Metrohm USA)
</blockquote>
<blockquote>
Kraig Kmiotek is the Product Manager for Process Wet Chemistry at Metrohm USA and has a Bachelor of Science in Chemistry from Purdue University. Since joining the Process Analytics team, his focus has been on application work, analyzer design and programming and customer and internal training of process analyzers. He is currently responsible for understanding customer requirements, driving product and service development, and strategic product marketing and demand generation.
</blockquote>
<blockquote>
Presenter: Elena Hagemann (Product Manager for Process Spectroscopy, Metrohm USA)
</blockquote>
<blockquote>
Elena Hagemann is the Product Manager for Process Spectroscopy at Metrohm USA in Riverview, Florida. She holds a master’s degree in Analytical and Bioanalytical Chemistry from the Applied University of Aalen, Germany, where her master thesis focused on Karl Fischer Titration, NIR Spectroscopy, and Multivariate Data Analysis. Elena joined the Metrohm Group in August 2013 and started with Metrohm USA in January 2018, focusing on Raman and NIR Spectroscopy.
</blockquote>

Metrohm: Process Analytics Showdown: Putting the Fun in Fundamentals

Process Analytics Showdown: Putting the Fun in Fundamentals

<blockquote>
Presenter: Louis Tisinger, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Louis (Lou) Tisinger has a Ph.D. in Analytical Chemistry from Miami University in Oxford Ohio, where his graduate research involved the study of ATR imaging and microscope performance in vibrational spectroscopy. Most of his career has been related to pre- and post-sales support of FTIR spectrometers, microscopes, imaging systems, and thermal analytical instruments, focusing on analyzing customer samples, demonstrations, post-sales training, troubleshooting, and R&amp;D.
</blockquote>

IR Analysis of Microplastics

A method driven system for analysis of microplastics will be demonstrated.

Incoming materials inspection, or <a href="https://icpms.labrulez.com/webinars?search=raw+materials+identification+RMID">raw materials identification</a> (RMID), is critical to the production of high-quality industrial products. 
While spectroscopic RMID tests are often used in the chemical industry, they are less common in the polymer industry because many of the samples are not well-suited to commonly deployed technologies like <a href="https://icpms.labrulez.com/webinars?search=Raman">Raman</a> and <a href="https://icpms.labrulez.com/webinars?search=FTIR">FTIR</a>. This forces companies to either trust the label or rely on traditional wet-chemical tests for materials testing.
During this webinar, Omar Sallouh, Head of Quality Assurance &amp; Process Engineering at Rampf Polymer Solutions GmbH &amp; Co. Kg presents a faster and safer approach for quality testing of polyols, isocyanates and silicones. He has successfully implemented <a href="https://icpms.labrulez.com/webinar/2266">Near-Infrared</a> (NIR) spectroscopy in the QC laboratory to rapidly identify incoming materials and quantify their critical quality attributes.
Mr. Sallouh joins Dr. Adam J. Hopkins, Spectroscopy Product Manager at Metrohm USA, who will give a brief introduction to NIR, focusing on its advantages for material identification and comparing with alternative technologies. The event closes with a Q&amp;A session to address any questions asked during and after the webinar.
<blockquote>
Presenter: Omar Sallouh, M.Sc. (Head of QA &amp; Process Engineering, Rampf Polymer Solutions GmbH &amp; Co. KG)
</blockquote>
<blockquote>
Omar Sallouh has been working for RAMPF Polymer Solutions since 2018. He is responsible for Quality Assurance and Process Engineering.
</blockquote>
<blockquote>
He has a Master of Science in Chemistry from the Technical University of Dortmund.
</blockquote>
<blockquote>
Presenter: Adam J. Hopkins, PhD (Spectroscopy Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Dr. Adam J. Hopkins has nearly 20 years of experience as a spectroscopist. He got his Ph.D. in chemistry from the University of Oregon where he studied nonlinear optical spectroscopy under Geraldine Richmond. Prior to joining Metrohm USA, Adam worked developing spectroscopic solutions for standoff and noncontact sensing applications using Laser Induced Breakdown and Raman spectroscopy. Dr. Hopkins is a member of the American Chemical Society, Society for Applied Spectroscopy, Coblentz Society, and SPIE. He is the author of 19 papers and proceedings and is the author of three patents.
</blockquote>

Metrohm: Guaranteeing Product Quality: NIR Inspection of Polyols, Isocyanates and Silicones

Guaranteeing Product Quality: NIR Inspection of Polyols, Isocyanates and Silicones

Faster and safer approach for quality testing of polyols, isocyanates and silicones using Near-Infrared (NIR) spectroscopy

NIR Inspection of Polyols, Isocyanates and Silicones

Explore the latest knowledge on the safety, authenticity and quality of food and beverages, as well as the technology that supports the critical work done to ensure the integrity of the food supply chain.
<h5>This online symposium will explore:</h5>
<ul>
<li>Untargeted analysis techniques used to ensure food authenticity</li>
<li>Sample preparation techniques for food applications</li>
<li>Use of thermal infrared imaging for salmonella detection</li>
<li>Elemental analysis for food and beverage testing</li>
<li>Miniaturized food analysis devices</li>
<li>Sustainable lab consumables for food analysis</li>
<li>Heavy metals in processed baby food</li>
<li>Residual analysis using GC/MS</li>
</ul>
<h3>Day 2 – July 25</h3>
<h5>16:00 – 16:40 BST Miniaturization of Analytics: A Better Control from Farm to Fork</h5>
<ul>
<li>Marta Prado, PhD (University of Santiago de Compostela)</li>
</ul>
<h5>16:40 – 16:50 BST Networking Break</h5>
<h5>16:50 – 17:10 BST Unleashing the Power of AI powered LIMS in Food and Beverage Testing</h5>
<ul>
<li>Daniel Call (LabVantage)</li>
</ul>
<h5>17:10 – 17:20 BST Networking Break</h5>
<h5>17:20 – 18:00 BST Heavy Metals in Processed Baby Food: Could Regulators be Doing More to Ensure Consumer Safety?</h5>
<ul>
<li>Robert Thomas (Scientific Solutions)</li>
</ul>
<h5>18:00 – 18:10 BST Networking Break</h5>
<h5>18:10 – 18:30 BST Sustainable Lab Consumables without Compromising Performance</h5>
<ul>
<li>Jack Gikonyo (Eppendorf Americas)</li>
</ul>
<h5>18:30 – 18:40 BST Networking Break</h5>
<h5>18:40 – 19:20 BST Applications of NIRS and NIR Imaging in Food</h5>
<ul>
<li>Vincent Baeten, PhD (Walloon Agricultural Research Centre)</li>
</ul>
<h5>19:20 BST Event Close</h5>

Technology Networks: Advances in Food and Beverage Testing 2024

Advances in Food and Beverage Testing 2024 (Day 2)

Explore the latest knowledge on the safety, authenticity and quality of food and beverages.

In an effort to build smarter factories, many industry leaders have started moving the point-of-analysis from the laboratory to process.
Clearly actionable data generated by Process Analytical Technology (PAT) makes this paradigm shift possible. PAT not only enhances Predictive Maintenance (PdM) by detecting issues early and minimizing downtime, it also supports Statistical Process Control (SPC) through real-time monitoring and optimization, and improves Quality by Design (QbD) with better process understanding and risk management.
In this webinar, Chad Shade, Global PAT Team Leader, will share how Albemarle Corporation approached the implementation of Spectroscopy PAT to obtain smarter process operations and what you can do to help drive a mindset change in your business. Elena Hagemann, Product Manager for Process Spectroscopy, will introduce the newest spectroscopy technologies for real-time, non-destructive analysis that further support sustainability initiatives.
Key Learning Objectives:
<ul>
<li>Staying Competitive: Attendees will gain knowledge that can give them an edge over competitors who may not be leveraging these advanced technologies.
</li>
<li>Enhanced Process Understanding: Attendees will learn how Spectroscopy PAT can be applied to optimize processes, ensuring better quality and efficiency.
</li>
<li>Managing Expectations: Attendees will discover practical tips on fostering a culture shift within their organization to embrace advanced Spectroscopy PAT solutions.
</li>
<li>Actionable Strategies: Attendees will learn the steps and considerations to successfully implement Spectroscopy PAT for enhanced process operations.
</li>
<li>Innovation: Attendees will explore the latest spectroscopy technologies that enable real-time, non-destructive analysis and support sustainability initiatives.
</li>
</ul>
Who Should Attend:
<ul>
<li>Production manager / Operational manager/ Plant manager
</li>
<li>Process engineers
</li>
<li>Product development scientists
</li>
<li>Quality control specialists
</li>
</ul>
<blockquote>
Presenter: Chad Shade (Global Process Analytical Team Leader, Albemarle Corporation)
</blockquote>
<blockquote>
Preenter: Elena Hagemann (Spectroscopy Product Manager, Process Analytics, Metrohm USA)
</blockquote>
<blockquote>
Presenter: Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)
</blockquote>

CEN: Smart and Actionable: Spectroscopy PAT-Supported Process Operations

Smart and Actionable: Spectroscopy PAT-Supported Process Operations

How Albemarle Corporation approached the implementation of Spectroscopy PAT to obtain smarter process operations.

GCMS webinars focusing on NIR Spectroscopy - page 4