<h4><strong>1 - What is fitness for purpose?&nbsp;</strong></h4><p>The test meets the necessary performance criteria for a clinical binary examination<strong> to ensure it is suitable for making accurate and reliable clinical decisions in the intended patient population. </strong>Among others, performance criteria include clinical sensitivity and clinical specificity.&nbsp;</p><h4><strong>2 - How to assess clinical performance?&nbsp;</strong></h4><p>Assessing the clinical performance of a binary examination, stating results as 'positive' or 'negative,' involves calculating the examination's <strong>Clinical Sensitivity and Clinical Specificity</strong>. 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;</p><h4><strong>3 - What is Clinical Sensitivity?&nbsp;</strong></h4><p><strong>Clinical sensitivity (SS)</strong>, 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 (<i>D<sub>1</sub></i> in Table 1) are needed to calculate clinical sensitivity.</p><p><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"></p><p>The formula for clinical sensitivity is:&nbsp;</p><p><i><strong>SS = tp / (tp + fn)</strong></i>, with:&nbsp;</p><ul><li><i>tp</i>, <strong>True Positives</strong> are the cases where the test correctly identifies the presence of the disease.&nbsp;</li><li><i>fn</i>, <strong>False Negatives</strong> are the cases where the test incorrectly identifies the absence of the disease when it is actually present.&nbsp;</li></ul><p>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, <i>D<sub>1</sub></i>∩n denotes the set of negative results obtained for known positive cases, i.e., false negatives.</p><h4><strong>4 - What is Clinical Specificity?&nbsp;</strong></h4><p><strong>Clinical Specificity (SP)</strong>, 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 (<i>D<sub>0</sub></i> in Table 1) are needed to calculate clinical specificity.</p><p>The formula for clinical specificity is:&nbsp;</p><p><i><strong>SP = tn / (tn + fp)</strong></i>, where:&nbsp;</p><ul><li><i><strong>tn</strong></i>, <strong>True Negatives</strong> are the cases where the test correctly identifies the absence of the disease.&nbsp;</li><li><i><strong>fp</strong></i>, <strong>False Positives</strong> are the cases where the test incorrectly identifies the presence of the disease when it is actually absent.&nbsp;</li></ul><p><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"></p><h4><strong>5 - How to calculate the uncertainty of clinical sensitivity and specificity?</strong></h4><p>Calculating clinical sensitivity and specificity uncertainty <strong>involves statistical methods that estimate each parameter's confidence interval (CI)</strong>. These intervals provide a range of values within which the true sensitivity or specificity is expected to lie with a certain level of confidence,<strong> typically 95 %</strong>. Please refer to the AQA:2021 for information about statistical models to compute the 95 % CI [1].</p><h4><strong>6 - How to define targets?&nbsp;</strong></h4><p>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, (<i>LL<sub>SS.95</sub> </i>or <i>LL<sub>SP.95</sub></i>) or the upper limit of the 95 % CI for result rate (<i>HL<sub>SS.95</sub></i> or <i>HL<sub>SS.95</sub></i>) should also be defined according to the purpose of the analysis. The target or minimum value (LL<sub>SS</sub><sup>tg </sup>or LL<sub>SP</sub><sup>tg</sup>) 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 <i>LL<sub>SS.95</sub> </i>close to 100 %.&nbsp;</p><p><strong>Figure 2</strong> 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.</p><p><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"></p>

Performance Assessment of Binary Output Examinations in Medical Laboratories

<p><strong>🎤 Presenter:</strong> Wenjing Ma (University of Washington)</p><p>💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/paper/32777"><strong>PDF presentation</strong></a></p><h3><strong>Abstract</strong></h3><p><strong>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 </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=2-3-13-7"><strong>SPME-GC×GC-TOFMS</strong></a><strong> 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;</strong></p><p>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.</p><h3><strong>Video Transcription</strong></h3><p>In this study, <span>Wenjing Ma</span> from the <span>University of Washington</span> 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 <i>Pseudomonas aeruginosa</i> and <i>Aspergillus fumigatus</i>, 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.</p><p>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.</p><h4><strong>Experimental Approach</strong></h4><p>The experimental design includes four distinct sample classes: a media control, monocultures of <i>Pseudomonas aeruginosa</i> and <i>Aspergillus fumigatus</i>, 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.</p><p>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"><strong>GC×GC–TOF-MS</strong></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.</p><h4><strong>Data Processing Strategy</strong></h4><p>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.</p><p>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.</p><p>The workflow is implemented using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/348"><strong>Chromatof Tile software</strong></a>, which produces ranked lists of statistically significant features and supports visualization tools such as principal component analysis (PCA) plots for confirming class separation.</p><h4><strong>Results and Interpretation</strong></h4><p>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.</p><p>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.</p><p>The reproducibility of the experimental setup is supported by consistent signal patterns across replicates, indicating reliable sample preparation and data acquisition.</p><h4><strong>Statistical Evaluation</strong></h4><p>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.</p><p>The results suggest that certain metabolites are dominant in <i>Pseudomonas aeruginosa</i> monocultures but are altered in co-culture conditions, indicating potential biological competition or suppression mechanisms.</p><h4><strong>Alternative Approach for Limited Data</strong></h4><p>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.</p><p>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.</p><h4><strong>Discussion</strong></h4><p>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.</p><p>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.</p><h4><strong>Conclusion</strong></h4><p>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.</p><h4><strong>Future Perspectives</strong></h4><p>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.</p><blockquote><p><strong>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.</strong></p></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)

<p><strong>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!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies, Thermo Fisher Scientific, </strong>brochure by<strong> Shimadzu </strong>and presentation by<strong> MDCW / LECO!</strong></p><h3><strong>1. Agilent Technologies: Extraction and Analysis of Pesticides from Water by Solid Phase Extraction and GC/MS</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>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)<sup>1</sup> , packaged drinking water (IS 14543)<sup>2</sup> , and natural mineral water (IS 13428).<sup>3</sup> 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;</p><p>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.<sup>4</sup> 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;</p><p>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;</p><p>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.</p><h4><strong>Experimental</strong></h4><h5><strong>Instrument parameters</strong></h5><ul><li><strong>GC:</strong> <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=8890"><strong>Agilent 8890</strong></a></li><li><strong>Column:</strong> Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=J%26W+HP-5ms"><strong>J&amp;W HP-5ms</strong></a> UI 30 m × 0.25 mm, 0.25 μm&nbsp;</li><li><strong>Carrier Gas:</strong> Helium, constant flow, 1.2 mL/min&nbsp;</li><li><strong>Inlet:</strong> Agilent Multimode Inlet (MMI)</li><li><strong>MS:</strong> <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=5977"><strong>5977 GC/MS</strong></a></li></ul><h4><strong>Conclusion&nbsp;</strong></h4><p>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.</p><h3><strong>2. MDCW / LECO: Exploring PFAS in Consumer Goods Using GCxGC and High-Resolution Mass Spectrometry</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>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.</p><p>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"><strong>LECO Pegasus® BTX</strong> </a>and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/38"><strong>Pegasus® HRT+</strong></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.</p><p>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.</p><p>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.</p><p>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.</p><h3><strong>3. Shimadzu: Gas Chromatograph Nexis GC-2060</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>The Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=Nexis+GC-2060"><strong>Nexis GC-2060</strong></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 <i>Analytical Intelligence</i>, 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.</p><p>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.</p><p>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.</p><p>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.</p><p>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.</p><h3><strong>4. Thermo Fisher Scientific: Accurate multi-component blast furnace gas analysis maximizes iron production and minimizes coke consumption</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>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.</p><p>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;</p><p>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</p><h4><strong>Process control requirements&nbsp;</strong></h4><p>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;</p><p>Figure 2 shows 64 hours of data from a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2305"><strong>Thermo Scientific™ Prima™ PRO Process MS</strong></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.</p><h4><strong>Hydrogen analysis&nbsp;</strong></h4><p>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;</p><p>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;</p><p>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;</p><h4><strong>Probe analysis&nbsp;</strong></h4><p>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.</p><h4><strong>Summary&nbsp;</strong></h4><p>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;</p><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

Thermo Scientific TriPlus™ RSH SMART Autosampler

Extend automation, performance, and versatility for GC and GC/MS applications, while ensuring easier and safer operations through SMART consumables ID recognition and usage tracking.

<div><div id="product-description"><p><strong>Expand automated sampling capabilities beyond liquid, headspace, and solid phase microextraction (SPME) injections. The advanced, built-in robotics of the Thermo Scientific™ TriPlus™ RSH SMART Autosampler deliver exceptional precision, sample handling flexibility, and reliable unattended operation. Enabling SMART consumables tracking, it offers easier, safer and traceable operations. Accurate and repeatable sample preparation and injection are essential to achieving the highest quality GC/GC-MS results. Enhance data quality and laboratory efficiency by automating your entire sample handling workflow.</strong></p></div><div><p>The TriPlus RSH SMART Autosampler brings together technological innovations that further expand automation, performance and versatility for GC and GC-MS applications, while ensuring easier and safer operations through SMART consumables ID recognition and usage tracking. Automated high-precision sample handling eliminates the manual labor and downtime typically required for tasks as standard/sample dilutions, internal standard addition and derivatization.</p><h3><strong>SMART Consumables</strong></h3><p>Validated SMART consumables are equipped with unique SMART chip storing parameters, ranges and usage history; enabling full traceability of sample preparation down to the syringe.</p><h3><strong>Automatic Syringe Changeout</strong></h3><p>Automatic Tool Change (ATC) capability automates the use of different syringes for sample preparation steps or different injection techniques within the sequence.</p><h3><strong>Vial Bottom Sensing Expands Application Range</strong></h3><p>Precise detection of vial bottoms enables the autosampler to accurately withdraw from sample amounts as little as 5 μL, enhancing data quality of sample-limited applications.</p><h3><strong>Flexible liquid sample handling</strong></h3><p>Optimized liquid injection modes and customizable syringe filling techniques, support a wide range of sample types and full GC inlet compatibility.</p><h3><strong>Automated headspace injection for volatile analysis</strong></h3><p>High temperature gas-tight syringe allows direct headspace injection into the GC inlet for increased injection volume flexibility. Sample vial capacity of up to 300x 10 mL/20 mL vials and sample incubation overlapping, facilitate long unattended operation.</p><h3><strong>Automated, solvent-free SPME</strong></h3><p>Precise control of all steps—fiber preconditioning, adsorption and desorption, as well as fiber washes—delivers maximum performance for SPME applications. Boost productivity with the optimized SPME Arrow design. It offers optimized fiber geometry to achieve 10x superior sensitivity compared to classical SPME, 2x faster extraction time and superior robustness.</p><h3><strong>Automated Sample Preparation</strong></h3><p>The Triplus RSH SMART Autosampler combines highly versatile sample injection capability with automated sample preparation procedures, eliminating typical GC-MS workflow bottlenecks. Daily operations ranging from sample/standard dilution to more complex derivatization protocols, can be fully automated and easily programmed with the Sampling Workflow Editor Software.</p><h3><strong>Extend productivity with the optional 1D barcode reader</strong></h3><p>The optional 1D barcode reader eliminates the need to log and track sample information manually; enabling you to streamline internal operations, save time, increase efficiency, and reduce errors.</p><h3><strong>Specifications</strong></h3><ul><li><strong>Type: </strong>TriPlus RSH SMART Standard Liquid, Regular Rail</li><li><strong>Sample Capacity:</strong> 4608 Well Plates, 840 x 0.5 mL or 0.7 mL Vials, 648 x 2 mL Sample Vials, 240 x 10 mL or 20 mL Vials</li><li><strong>Injection Mode: </strong>8 Fully Customizable Method-Specific Injection Mode Presets</li><li><strong>Injection Speed:</strong> Selectable from 0.1 μL/s to 2000 μL/s</li><li><strong>Injection Volume: </strong>0.1 to 10,000 μL</li><li><strong>Description: </strong>TriPlus RSH SMART configured for liquid injection on regular X-axis length. Only for manual tool change. Complete with liquid syringe tool, 2 x 10 μL SMART syringes, standard washing station and a single tray holder with 3 trays for 2 mL vials. Expandible to other sampling techniques (Headspace, SPME, SPME Arrow, ITEX-DHS) and with sample preparation tools.</li><li><strong>Tool Exchange:</strong> Only for manual tool exchange. No tool park station.</li><li><strong>For Use With (Equipment):</strong> Compatible with Smart syringes/fibers only.</li></ul></div></div>

Thermo Scientific™ TriPlus™ RSH Autosampler

Robotic GC autosampler with multimode injection, tool exchange, and full sample prep automation. Enables 24/7 workflows for food, environmental, and forensic labs.

<h4><strong>Flexible, high-capacity autosampler for GC and GC-MS with advanced sample prep automation</strong></h4><p><strong>The TriPlus RSH Autosampler is a versatile robotic sampling platform designed to maximize automation, precision, and productivity in gas chromatography workflows. Fully compatible with Thermo Scientific™ GC and GC-MS systems, it supports liquid, headspace (HS), and SPME/SPME Arrow injections, with optional modules for µSPE, ITEX-DHS, and automated sample preparation. The unique Automatic Tool Change (ATC) system allows the autosampler to switch between up to six syringes in a single sequence, enabling unattended workflows for complex multistep protocols.</strong></p><h3><strong>Key Features and Benefits</strong></h3><h4>🧪 <strong>Multimode Injection and Sample Handling</strong></h4><ul><li>Supports liquid, headspace, SPME, SPME Arrow, and ITEX-DHS techniques</li><li>Switch between injection modes in a single sequence using ATC</li><li>Bottom vial sensing enables precise injections from as little as <strong>5 μL</strong> of sample</li></ul><h4>🔁 <strong>Automated Sample Preparation</strong></h4><ul><li>Perform dilution, standard addition, derivatization, and internal standard workflows</li><li>Tools: Vortexer, Incubator, Heatex-Stirrer, Dilutor, µSPE module</li><li>Visual drag-and-drop <strong>Sampling Workflow Editor</strong> for custom prep protocols</li></ul><h4>📦 <strong>High Throughput and Capacity</strong></h4><ul><li>Unattended operation with up to <strong>972 × 2 mL vials</strong> or <strong>840 × 0.7 mL vials</strong></li><li>Extended X-arm option for larger trays and accessory support</li><li>Dual-GC configurations with Clone Mode or DoublePro setups</li></ul><h4>⚙️ <strong>Precision and Flexibility</strong></h4><ul><li>Automated Tool Change (ATC): Up to <strong>6 tools</strong> in one sequence</li><li>Injection volume range: <strong>0.1 μL to 10 mL</strong></li><li>Compatible with all major GC injector types (SSL, PTV, OC, PKD, PPKD)</li></ul><h4>🧠 <strong>Smart Software and Control</strong></h4><ul><li>Fully integrated with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/76"><strong>Chromeleon™</strong></a>,<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1758"><strong> Xcalibur™</strong></a>, and <strong>Chrom-Card™ CDS</strong></li><li>Local controller or virtual terminal control interface</li><li>Barcode readers for full sample tracking</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/application::product.product/Thermo-TriPlus-RSH-Autosampler-1.jpg" alt="Thermo Scientific™ TriPlus™ RSH Autosampler" width="null" height="null"></p><h3><strong>Applications</strong></h3><ul><li><strong>Food safety</strong>: Trace analytes, contaminants, derivatization (e.g. FAMEs, dioxins)</li><li><strong>Environmental</strong>: VOCs, SVOCs, POPs, air toxics</li><li><strong>Forensics &amp; clinical</strong>: Biological matrices, explosive residues, drugs</li><li><strong>Chemical industry</strong>: Routine QC, trace impurities, residual solvents</li><li><strong>High-throughput labs</strong>: 24/7 unattended workflows with complex prep steps</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/application::product.product/QExactive-GCMSMS-Orbitrap-with-Autosampler-sideangle-1856x1391.jpg-650.jpg" alt="Thermo Scientific™ TriPlus™ RSH Autosampler" width="null" height="null"></p>

Thermo Scientific Dionex AutoTrace 280 Solid-Phase Extraction Instrument

Extract analytes of interest from large volume aqueous samples easily and efficiently with the Thermo Scientific™ Dionex™ AutoTrace™ 280 Solid-Phase Extraction (SPE) Instrument.

<p><strong>Extract analytes of interest from large volume aqueous samples easily and efficiently with the Thermo Scientific™ Dionex™ AutoTrace™ 280 Solid-Phase Extraction (SPE) Instrument.&nbsp;</strong></p><p>The AutoTrace 280 automates all four steps of SPE (conditioning, loading, rinsing, and eluting), reducing solvent consumption and improving recovery and reproducibility. Boost productivity and reduce cost of analysis by simultaneously processing up to six samples in 2-3 hours with only 15 minutes of operator involvement. The AutoTrace 280 meets requirements in US EPA methods including the 500 and 600 series.</p><h5><strong>Improved reliability and recovery</strong></h5><ul><li>Automated SPE minimizes operator intervention</li><li>Positive pressure loading and elution of samples and solvents provide constant flow for improved analytical precision</li></ul><h5><strong>Flexibility in operation</strong></h5><ul><li>Loads sample volumes from 20 mL to 4 L</li><li>Compatible with 1, 3, and 6 mL cartridges and with 47 mm SPE disks</li><li>Automatically conditions, rinses, and elutes SPE cartridges with a choice of five solvents</li><li>Offers a choice of six different collection vial racks</li></ul><h5><strong>Improved laboratory safety</strong></h5><ul><li>Minimal sample handling reduces operator exposure to hazardous chemicals</li><li>No hood required</li></ul><h5><strong>Enhanced laboratory productivity and reduced costs</strong></h5><ul><li>Unattended operation</li><li>Batch processing of up to 6 samples</li><li>Reduced solvent usage</li><li>Segregates aqueous and solvent waste using separate waste lines for efficient, cost-effective waste handling</li></ul><h5><strong>Supports a range of matrices and applications</strong></h5><ul><li>Ability to process samples containing suspended solids</li><li>Meets requirements for solid-phase extraction for U.S. EPA methods including 500 and 600 series</li></ul><h5><strong>Recommended use</strong></h5><ul><li>Analyze prepared samples with Thermo Scientific LC or GC systems for a fully integrated workflow</li></ul><h4><strong>Specifications</strong></h4><ul><li><strong>Instrument Type:</strong> Automated Solid Phase Extraction (SPE) System</li><li><strong>Application:</strong> For use with 47 mm SPE disks</li><li><strong>Model Description:</strong> AutoTrace 280 SPE System</li></ul><h5><strong>Performance &amp; Operating Details</strong></h5><ul><li><strong>Disk Compatibility:</strong> Designed for 47 mm SPE disks</li><li><strong>Pressure Range:</strong><ul><li>Output: 0 to 30 psi (0 to 1.4 bar)</li><li>Input: Up to 100 psi (6.9 bar) maximum</li></ul></li><li><strong>Voltage:</strong> 100–240 V ±10%</li><li><strong>Frequency:</strong> 47–63 Hz</li></ul><h5><strong>Physical Specifications</strong></h5><ul><li><strong>Dimensions (D × W × H):</strong> 57 × 63.5 × 69 cm</li><li><strong>Unit Size:</strong> Each</li></ul>

Thermo Scientific EXTREVA ASE Accelerated Solvent Extractor

Achieve true walkaway sample-to-vial sample preparation with the Thermo Scientific™ EXTREVA™ ASE™ Accelerated Solvent Extractor. 

<p><strong>Achieve true walkaway sample-to-vial sample preparation with the Thermo Scientific™ EXTREVA™ ASE™ Accelerated Solvent Extractor. Without any intervention, perform sample extraction, in-cell cleanup and evaporation—all in one seamless operation—reducing manual labor from hours to minutes and enabling you to focus on other lab priorities while using up to 50% less solvent than other sample preparation techniques.</strong></p><p><strong>Accelerate your journey from sample to vial</strong></p><h5><strong>The EXTREVA ASE Accelerated Solvent Extractor offers:</strong></h5><ul><li><strong>All-in-one sample preparation.</strong> The EXTREVA ASE system automatically extracts and concentrates samples, eliminating the need to manually move sample extracts to another device for solvent evaporation.</li><li><strong>A walk-away solution. </strong>The system minimizes hands-on sample preparation tasks, enabling staff to accomplish other tasks.</li><li><strong>Parallel extraction. </strong>One EXTREVA ASE system can perform four parallel sample extractions, substantially increasing throughput.</li><li><strong>Gas-assisted extraction. </strong>The dynamic gas-assisted extraction mode reduces solvent consumption to between 5 and 100 milliliters per sample in most cases.</li><li><strong>Automation. </strong>Full automation improves recoveries and reproducibility while reducing training needs. Unlike humans, automated systems are ideal for performing the same tedious task repeatedly, and they don’t make mistakes.</li><li><strong>Method flexibility and optimization</strong>. Up to six different solvents can be used, including wash solvents for cleaning between methods. Precise flow control optimizes methods.</li><li><strong>Barcode-reading.</strong> The system tracks sample information and preparation parameters using a 2-D bar code reader to facilitate tracking and integrity. Data is recorded on the instrument or Thermo Scientific™ <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76"><strong>Chromeleon™ Chromatography Data System (CDS) software</strong></a>.</li></ul><h4><strong>Specifications</strong></h4><ul><li><strong>Instrument Type:</strong> Automated Sample Preparation System</li><li><strong>Application:</strong> Simultaneous sample extraction and concentration</li><li><strong>Model Description:</strong> EXTREVA ASE Extraction and Evaporation System</li></ul><h5><strong>Performance &amp; Capabilities</strong></h5><ul><li><strong>Extraction Temperature Range:</strong> 40–200 °C</li><li><strong>Evaporation Temperature Range:</strong> 40–100 °C</li><li><strong>Compatible Solvents:</strong> Wide range of organic and aqueous solvents</li><li><strong>Pressure Capability:</strong> Up to 200 psi</li><li><strong>Power Consumption:</strong> 2000 W</li><li><strong>Frequency:</strong> 50/60 Hz</li></ul><h5><strong>Sample &amp; Solvent Handling</strong></h5><ul><li><strong>Extraction Cells (stainless steel):</strong> 1, 5, 10, 22, 34, 66, 100 mL</li><li><strong>Extraction Cell Tray:</strong> 16-position with 1 rinse</li><li><strong>Collection Vials:</strong><ul><li>60 mL and 100 mL evaporation vials</li><li>250 mL evaporation bottles</li><li>Direct concentrate to 2 mL sample vials with rinse capability</li></ul></li><li><strong>Collection Vial Tray:</strong> 16-position tray insert for 60 mL vials and 250 mL bottles; includes 4 rinse positions</li></ul><h5><strong>Utilities &amp; Requirements</strong></h5><ul><li><strong>Pneumatic Requirements:</strong><ul><li>Air: 130–140 psi</li><li>Nitrogen: 350–450 psi</li></ul></li></ul><h5><strong>Physical Specifications</strong></h5><ul><li><strong>Dimensions (D × W × H):</strong> 65.2 × 100 × 88.6 cm (25.6 × 39.4 × 34.8 in.)</li><li><strong>Weight:</strong> 160 kg (353 lb)</li><li><strong>Unit Size:</strong> Each</li></ul>

Thermo Scientific™ Dionex™ ASE™ 350 Accelerated Solvent Extractor

Save time, reduce solvent consumption, and boost productivity with Thermo Scientific™ Dionex™ ASE™ 350 Accelerated Solvent Extractor.

<div><p><strong>Automate extraction, filtration and clean up of compounds from solid and semisolid samples in minutes using the automated Thermo Scientific™ Dionex™ ASE™ 350 Accelerated Solvent Extractor. This system accommodates sample sizes of 1-100g, allows unattended extraction of up to 24 samples and uses 50 to 90% less solvent compared to other methods.&nbsp;</strong></p><p>The chemically inert pathway supports acid and alkaline sample matrices and solvents. Flexible, easy-to-operate and cost-effective, the Dionex ASE 350 is ideally suited for high-throughput laboratories and for a wide variety of applications.</p><div><h4><strong>Rapid and efficient extractions</strong></h4><ul><li>Elevated temperature (up to 200°C) and pressure (1500psi) reduce extraction times and solvent consumption</li><li>Fast pump (70mL/min.) enables fast extractions (typically 12-20 minutes)</li><li>Specialized oven design ensures precise temperature control for excellent reproducibility</li><li>Integrated solvent controller allows mixing and delivery of up to three solvents</li><li>The <strong>Thermo Scientific™ SmartRun™ System</strong> ensures cell size and collection vessel size are matched for an optimal extraction</li></ul><h4><strong>Enhanced flexibility to support multiple applications</strong></h4><ul><li>System accommodates <strong>1, 5, 10, 22, 34, 66 </strong>and <strong>100mL cell sizes</strong></li><li>pH-hardened pathway with <strong>Thermo Scientific™ Dionium™ components and cell</strong> enables compatibility with acid or alkaline pretreated matrices</li></ul><h4><strong>Dramatically reduced solvent consumption</strong></h4><ul><li>Requires less than 50mL solvent for a 20g sample</li><li>Includes solvent saver mode for further solvent savings</li></ul><h4><strong>Enhanced laboratory productivity</strong></h4><ul><li>System holds up to 24 samples for unattended operation</li><li>Flow-through technology allows in-line filtration and in-cell cleanup</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Dionex_ASE_350_system_2_9426ff3f9a/Thermo-Scientific-Dionex-ASE-350-system_2.jpg" alt="Thermo Scientific™ Dionex™ ASE™ 350 Accelerated Solvent Extractor" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Dionex_ASE_350_system_2_9426ff3f9a/thumbnail_Thermo-Scientific-Dionex-ASE-350-system_2.jpg 114w," sizes="100vw" width="579" height="792"></p><h3><strong>🛠️ Specifications</strong></h3><ul><li><strong>Collection Vial Tray</strong>: 26-position tray insert for 60 mL vials; 19-position tray insert for 250 mL bottles</li><li><strong>Depth (English)</strong>: 27.3 in.</li><li><strong>Depth (Metric)</strong>: 69.3 cm</li><li><strong>Description</strong>: Extractor Only</li><li><strong>Extraction Fluids</strong>: Compatible with a wide range of organic and aqueous solvents</li><li><strong>Fluid Sensors</strong>: IR</li><li><strong>Frequency</strong>: 50/60 Hz</li><li><strong>Height (English)</strong>: 24.3 in.</li><li><strong>Height (Metric)</strong>: 61.7 cm</li><li><strong>Pneumatic Requirements</strong>: Air at 400–827 kPa (60–120 psi); N2 (at 1034 ×–1340 kPa (150–200 psi))</li><li><strong>Power Consumption</strong>: 500 Max VA</li><li><strong>Pressure</strong>: 10 MPa (1500 psi)</li><li><strong>Pump Flow</strong>: 70 mL/min</li><li><strong>Temperature Control</strong>: Up to 200 °C</li><li><strong>Weight (English)</strong>: 140 lb.</li><li><strong>Weight (Metric)</strong>: 65 kg</li><li><strong>Width (English)</strong>: 26.5 in.</li><li><strong>Width (Metric)</strong>: 67.3 cm</li><li><strong>Collection Vials</strong>: 60, 250 mL</li><li><strong>Dimensions (D x W x H)</strong>: 69.3 x 67.3 x 61.7 cm</li><li><strong>Extraction Cell Tray</strong>: 24 Cell, 2 Rinse</li><li><strong>Extraction Cells</strong>: 1, 5, 10, 22, 34, 66, 100 mL</li><li><strong>For Use With (Equipment)</strong>: Dionex ASE 350</li><li><strong>Type</strong>: Dionex ASE 350 System</li><li><strong>Unit Size</strong>: Each</li></ul></div></div>

Products from category Sample preparation automation from Thermo Fisher Scientific - page 1

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