Concerns about injecting water into a GC system largely come from older column designs, where stationary phases were simply coated and could be affected by water exposure. Modern capillary columns are typically chemically bonded, which improves resistance to water injections and even supports water rinsing in many cases.One practical exception involves very polar polyethylene glycol (PEG / “wax”) phases. Because these phases strongly interact with water, repeated aqueous injections can allow water to accumulate and gradually shift selectivity. For many PEG-based columns, minimizing frequent water injections helps maintain consistent performance.A separate—and often more important—issue is water’s very large vapor expansion in a hot inlet. If the vapor volume exceeds the inlet liner capacity, backflash can occur, sending sample vapor into cooler, unheated zones and increasing the risk of carryover. Using smaller injection volumes helps reduce this risk.In workflows where water is the sample matrix (for example, volatile analysis), analytes may elute at relatively low oven temperatures while water and higher-boiling residues can linger. Periodic bake-off (high-temperature cleanup steps) is commonly used to restore column performance when water remains on the phase at low temperatures.In summary, the biggest hesitation about water injections is rooted in legacy, coated column stories. With chemically bonded phases, the key considerations tend to be inlet expansion/backflash behavior, water retention on very polar phases, and routine maintenance practices like bake-out.<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1571">Zebron ZB-WAXPLUS GC Columns</a></h4><ul><li>100% aqueous stable, excellent for aqueous samples; bonded and solvent rinseable</li><li>Extremely inert for acidic compounds</li><li>Enhanced selectivity for low boiling solvents; high retention of alcohols and chlorinated solvents</li><li>Increased efficiency at 20&nbsp;°C</li></ul></blockquote>

Water in GC: Safe or Risky? Here’s What You Need to Know

🎤 Presenter: Paul-Albert Schneide (University of Copenhagen)💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/paper/32780">PDF presentation</a><h3>Abstract</h3>Tensor decomposition methods such as PARAFAC and PARAFAC2 have been proposed for resolving co-elutions, and extracting purified spectra in two-dimensional chromatography datasets. However, the application of these methods is usually restricted to local regions-of-interest (ROIs). Therefore, additional pre-processing steps, are required and processing multiple samples at once can be difficult due to retention time shifts (e.g., it is difficult to define a ROI that captures the same analyse signal in multiple samples).This work presents an application of fast, shift-invariant tensor decomposition, which was used for the decomposition of full-scale GCxGC-VUV datasets. The results show that chemical groups can be resolved, which are non-separable with conventional, template-based approaches, such as aliphates and olefines, Furthermore, the extracted peak areas are in good agreement with the quantitative results of the reference methods (e.g., bromine number for olefines).<h2>Video Transcription</h2><h3>Background and Motivation</h3>The project originated from a collaboration initiated by Alexandra Alvich from IFPEN, who approached Prof. Rasmus Bro’s research group at the University of Copenhagen for help analyzing a GC×GC-VUV dataset acquired during her PhD research. The work was then continued by Paul-Albert Schneider and Jesper Henri from the Technical University of Denmark.The primary objective was to develop a simpler and less manually intensive approach for petrochemical group quantification while maintaining strong quantitative performance and spectral interpretability.According to Schneider, the proposed method is based on two key principles:<ul><li>Simple implementation with a minimal number of tuning parameters</li><li>Accurate estimation of peak patterns, VUV spectra, and peak areas</li></ul>The workflow specifically targets group-level petrochemical analysis rather than individual compound identification.<h3>Data Analysis Workflow</h3>The presented workflow begins with a collection of GC×GC-VUV measurements. In this study, the researchers analyzed:<ul><li>14 gas oil samples</li><li>24 total measurements, including replicates</li><li>Samples processed using different treatment methods</li></ul>Initial preprocessing was performed using a dedicated plug-in module developed during Alexandra Alvich’s PhD work. The preprocessing included:<ul><li>Signal smoothing</li><li>Downsampling</li><li>Basic data conditioning</li></ul>The processed data were then submitted to the decomposition engine developed by the Copenhagen research group. The decomposition produced:<ul><li>Resolved VUV spectra</li><li>GC×GC chromatographic landscapes</li><li>Peak areas or peak volumes</li></ul>An in-house spectral library from IFPEN was subsequently used to verify that the extracted spectra corresponded to known petrochemical groups, enabling group-level quantitative analysis.Importantly, the workflow currently requires only a single major tuning parameter: the number of components used in the decomposition model. The researchers also noted ongoing efforts to automate this selection step.<h3>Comparison with Existing Template-Based Methods</h3>The study benchmarked the new approach against Alexandra Alvich’s previously developed template-based quantification method.In the template-based workflow:<ul><li>Elution regions are predefined using a grid structure</li><li>Peak intensities within those regions are summed</li><li>Quantitative estimates are obtained for specific petrochemical classes</li></ul>Although the template-based strategy demonstrated strong performance compared with other analytical techniques, Schneider highlighted several limitations:<ul><li>Sensitivity to retention time shifts</li><li>Manual adjustment of integration regions</li><li>Dependence on prior knowledge of coeluting compounds</li></ul>The new decomposition-based method was designed to reduce manual intervention and improve robustness against chromatographic variability.<h3>Shift-Invariant Trilinear Decomposition</h3>The proposed workflow is conceptually related to PARAFAC and multivariate curve resolution methods.One important advantage of GC×GC-VUV data is the applicability of the Beer–Lambert law, which enables mathematically structured decomposition approaches.The researchers evaluated two possible strategies:<ol><li>Decomposing each sample individually</li><li>Decomposing all samples simultaneously after concatenation into one large dataset</li></ol>The second strategy became the central focus of the work. Multiple samples were concatenated into a large matrix and factorized to extract shared chemical information across all measurements simultaneously.Unlike many conventional GC×GC deconvolution pipelines, the workflow does not rely on a prior region-of-interest detection step. Instead, the entire dataset is decomposed directly.<h3>Addressing Retention Time Shifts</h3>A critical challenge for PARAFAC-type models is the assumption of strict trilinearity. In GC×GC datasets, however, second-dimension retention time shifts caused by temperature programming violate this assumption.Schneider demonstrated how standard one-component PARAFAC models fail to properly model shifted peaks, leaving characteristic residual patterns. When fitting additional components, conventional models often allocate extra components to describing peak shifts instead of resolving true coeluting compounds.The shift-invariant model solves this issue by explicitly accounting for chromatographic shifts. As a result:<ul><li>Large shifted peaks are modeled correctly</li><li>Residuals are minimized</li><li>Small coeluting peaks become resolvable</li></ul>The algorithm uses fast Fourier transform (FFT)-based operations internally to correct for chromatographic shifts efficiently.According to the presentation, the approach is also significantly faster than PARAFAC2, which is commonly used for shifted datasets.The researchers additionally described extensions of the model that can accommodate:<ul><li>Retention time shifts</li><li>Peak shape variations</li><li>Additional flexibility without losing uniqueness properties</li></ul><h3>Quantitative Results</h3>The team applied a seven-component model to the complete dataset containing 24 GC×GC-VUV measurements.The decomposition extracted seven characteristic VUV spectra, which were compared against the IFPEN in-house spectral library. The extracted spectra matched known petrochemical group signatures very well.The resolved components included:<ul><li>Two monoaromatic components</li><li>Two diaromatic components</li><li>Additional petrochemical group patterns</li></ul>For quantitative evaluation, chemically related components were grouped together.<h4>Reproducibility</h4>Replicate measurements demonstrated strong quantitative reproducibility:<ul><li>Relative standard deviations below 10%</li><li>Consistent peak area estimation across petrochemical groups</li></ul><h4>Comparison with the Template-Based Approach</h4>The decomposition workflow showed good agreement with the existing template-based quantification strategy, with monoaromatics representing the main discrepancy requiring further investigation.Schneider explained that the differences were likely related to relative response factor scaling used in the template-based method but not yet implemented in the decomposition workflow at the time of the presentation.<h4>Future Development</h4>The researchers outlined several next steps for the project:<ul><li>Running models on individual samples to achieve higher resolution</li><li>Resolving sulfur-containing compounds</li><li>Extracting more sample-specific differences</li><li>Automating component number selection</li><li>Investigating deviations in monoaromatic quantification</li><li>Integrating the workflow into an open-source software project</li></ul>The team also expressed interest in future collaboration with other researchers working on related GC×GC data analysis workflows.<h3>Conclusion</h3>The presented shift-invariant trilinear decomposition workflow demonstrated promising performance for automated petrochemical group analysis in GC×GC-VUV datasets. By combining robust mathematical modeling with minimal manual intervention, the method offers a simplified alternative to traditional template-based approaches while maintaining strong quantitative agreement and spectral interpretability.The work highlights the growing role of advanced multivariate data analysis strategies in comprehensive chromatography and demonstrates how shift-aware decomposition methods can significantly improve the analysis of highly complex petrochemical datasets.<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>

One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups (Paul-Albert Schneide, MDCW 2026)

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 11th May 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 note by Shimadzu, poster by MDCW / William &amp; Mary and brochure by Thermo Fisher Scientific!<h3>1. MDCW / William &amp; Mary: Optimizing Solvent Selection and Data Reduction Workflows for GC×GC Fire Debris Analysis</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/P_14_O_Brien_63304669ee.pdf">Full PDF for download</a></li></ul><section><div><div><div><div><div><div><h5>What are Ignitable Liquid Residues (ILRs)?&nbsp;</h5><ul><li>Chemical remains of ignitable liquids (IL) (e.g., gasoline or diesel) that did not fully burn during a fire&nbsp;</li><li>ILRs are usually petroleum-based products and contain complex mixtures of volatile chemicals, like hydrocarbons&nbsp;</li></ul><h5>Forensic Analysis of ILRs&nbsp;</h5><ul><li>Collection of porous materials like wood from the fire’s point of origin&nbsp;</li><li>Must be stored in airtight containers to prevent volatile ILR from evaporation&nbsp;</li><li>Passive headspace extraction onto activate charcoal strips (ACS) is used to extract ILRs from debris, and dichloromethane (DCM) is used to extracts ILRs from charcoal strips&nbsp;</li><li>Emerging is the use of two-dimensional gas chromatography – time of fight - mass spectrometry (GC×GC-TOFMS), with higher separation and resolution</li><li>Resulting chromatograms presents a pattern of peaks which can be used to identified specific type of accelerant used&nbsp;</li></ul><h5>Chemometrics&nbsp;</h5><ul><li>The discipline that focuses on the application of statistical and mathematical methods to analyze chemical data and extract meaningful information (Bovens, 2019)&nbsp;</li><li>Helps make sense of large datasets from analytical instruments, find pattens, and classify samples</li></ul><h4>Methods</h4><h5>Analytical Instrumentation&nbsp;</h5><ul><li>LECO corporation <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1097">BTX4D GC×GC-TOFMS</a> with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1289">Paradigm Shift reverse fill-flush (RFF) flow modulator</a></li></ul><h5>Software&nbsp;</h5><ul><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1873">ChromaTOF Sync 2D</a> (LECO corporation)&nbsp;</li><li>R Statistical Software</li></ul><h4>Conclusions</h4>This study demonstrated that the use of chemometrics can be integrated into a data processing workflow to better understand data sets and create a streamlined process. Using UMAP, patterns identified that were not originally seen in PCA lead to the preferred solvents of ILR extraction being hexane and methanol. Since UMAP allowed visualization of local and global structures, groupings of gasoline samples allowed for better analysis of solvent effect.<h3>2. Shimadzu: Multiresidue Pesticides Analysis in Solvent Extract of Annatto (Natural Color Additive) Using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ8050+NX">GCMSTQ8050 NX</a></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_06_sip_gc_043_en_95576a9ac4.pdf">Full PDF for download</a></li></ul><h5>User Benefits</h5><ul><li>&nbsp;Accurate and reproducible trace level quantitation of pesticides in highly pigmented complex matrix using Ultra-fast GCMSTQ8050 NX and QuEChERS extraction</li><li>Single-laboratory partial validated method for LOQ determination meeting regulatory guidelines</li><li>Ease of instrumental method optimization using GCMS Smart Pesticides Database Ver.2 from Shimadzu Corporation</li></ul>Annatto is an orange-red condiment and food colorant derived from the seeds of the achiote tree (Bixa Orellana) (Fig. 1). It is often used to impart a yellow to red-orange color to foods, but sometimes also for its flavor and aroma. Similar effects can be obtained by extracting some of the color and flavor principles from the seeds, which are then added to the food. Annatto and its extracts are now widely used in an artisanal or industrial scale as a coloring agent in many processed food products, such as cheeses, butter, baked goods, potatoes, snack foods, breakfast cereals, smoked fish etc. In these uses, Annatto is a natural alternative to synthetic food coloring compounds.&nbsp;Owing to its large culinary uses and other diverse applications, use of chemical pesticides for its production in large quantities is imperative. Dye extraction process may result in concentration of pesticides and in turn contribute to adverse impact on human health when incorporated in various preparations. Hence quantitation of residual pesticides in Annatto extract becomes very important. As the oleoresin is a complex matrix, it is required to develop a rugged, sensitive and efficient method for extraction of residual pesticide and its analysis.&nbsp;This study reports a highly sensitive method for simultaneous quantification of multiple pesticides in highly pigmented complex matrix of Annatto using modified QuEChERS[1] with triple quadrupole gas chromatography (GC-MS/MS) system.<h4>Materials and Methods</h4>For this study, customized reference standard mixture of most commonly observed pesticides in Annatto seeds was procured from Restek Corporation.The calibration standards were analyzed from 0.5 to 1000 μg/L. Linearity was plotted by external standard method and using weighted regression of 1/C2. Sample was spiked at 3 levels i.e., 10, 25 and 100 μg/kg. Recovery samples were prepared in 6 replicates at each level. <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ8050+NX">GCMS-TQ8050 NX</a> (Fig. 2), manufactured by Shimadzu Corporation Japan, was used for quantitation. LabSolutions InsightTM was used for data processing, which helped in evaluating validation parameters with ease.<h4>Conclusion</h4>This study shows that the modified QuEChERS method combined with GC-MS/MS system is a reliable and efficient tool to quantify residual pesticides in Annatto extract sample. Although Annatto extract is a highly pigmented complex matrix, the modified QuEChERS method significantly reduces interference. Also, extremely sensitive Shimadzu GC-MS/MS allows trace level detection even after multifold dilution of sample. This helps in reducing contamination and enhancing ruggednessresulting in reproducible detection of analytes.<h3>3. Thermo Fisher Scientific: Sentinel PRO 710 environmental mass spectrometer Precise real time gas analyzer for toxic volatile organic compounds</h3><ul><li>Product specification</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/sentinel_pro_710_spec_sheet_en_886523bfc2.pdf">Full PDF for download</a></li></ul>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=3&amp;search=Sentinel+PRO">Thermo Scientific™ Sentinel PRO Environmental Mass Spectrometer </a>is a highly reliable and versatile gas analyzer ideal for reporting the presence of toxic VOCs from fugitive emissions in industrial settings to ensure worker safety.<h4>Fugitive emissions of toxic VOCs&nbsp;</h4>Wherever there is potential danger for fugitive emissions of toxic organic vapors from a chemical production unit, regulating authorities often require plants to keep records of ambient vapor concentrations to protect workers from exposure. Various forms of capture include evacuated vessels, organic vapor monitors, or purge and trap devices, all of which require samples to be sent for analysis. Alternatively, electrochemical sensors or open path FT-IR spectroscopy can provide more immediate results. However, none of these technologies are capable of providing the spatial and temporal resolution required to qualify as actionable information.&nbsp;<h4>Analytical platform&nbsp;</h4>The primary feature of the Sentinel PRO mass spectrometer is the magnetic sector analyzer. This field-proven technology has demonstrated the strongest performance for industrial on-line gas analysis. Magnetic sector technology offers precision, accuracy, long intervals between calibrations. The new touchscreen interface further enhances usability, providing intuitive in-person operation, simplified maintenance, and real-time data viewing. Multi-role user permissions ensure security and control allowing operators to customize settings based on their specific needs.&nbsp;<h4>Comprehensive data collection&nbsp;</h4>With speed and precision, the Sentinel PRO analyzer monitors all the critical areas for short-term exposure levels of toxic VOCs, and also provides accurate and time-weighted average exposure data. With a high number of sample points available, many can be located close to potential leak points such as valve stems, etc., enabling leak detection and correction before any toxic hazard is created.&nbsp;<h4>Membrane inlet mass spectrometry&nbsp;</h4>The analyzer is fitted with a membrane inlet to reduce the pressure of the sample air from atmospheric to the working pressure of the enclosed ion source. This allows a method of sample introduction that greatly enhances the system’s sensitivity to VOCs. Since the membrane is more permeable to VOCs than to major air gases, it provides enrichment by several orders of magnitude, enabling detection as low as 5 ppb (species dependent) permits easy membrane replacement during annual routine maintenance to minimize downtime and increase productivity.</div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 20, 2026

Article

Product

Application

Academy

Presentation

Video

Poster

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

The Multidimensional Chromatography Workshop

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

Phenomenex is a global technology leader committed to developing novel analytical chemistry solutions that solve the separation and purification challenges of researchers in industrial, government and academic laboratories.

Phenomenex

ARC Polyarc System

A Breakthrough Innovation Revolutionizing GC/FID Technology. The Polyarc System is transforming the way scientists use gas chromatographs with Flame Ionization Detectors.

The Polyarc system has a catalytic microreactor that enhances new and existing gas chromatographs (GCs) with flame ionization detectors (FIDs) by converting all organic compounds to methane molecules prior to their detection by the FID. In doing so, the Polyarc system reduces the need to perform time-consuming calibrations by creating a uniform detector response for truly universal carbon detection.
The Polyarc system gives scientists the capability to determine purity, quantify unknowns, qualify products, investigate, improve development and more in a simple, fast and more economical way that is transforming the industry.
<blockquote>
Available for gas chromatographs (GC) <a href="https://gcms.labrulez.com/products?category=1&amp;manufacturerItems=10">Agilent</a> 5890, 6890, 7820, 7890, 8890, <a href="https://gcms.labrulez.com/products?category=1&amp;manufacturerItems=1">Shimadzu</a> 2030, <a href="https://gcms.labrulez.com/products?category=1&amp;manufacturerItems=3">Thermo Fisher</a>, Varian, Bruker a Scion GC.
</blockquote>
<h3>What is Polyarc?</h3>
The Polyarc is the next evolution of flame ionization detection (FID). The Polyarc converts the FID into a truly universal carbon detector using proprietary catalytic reactions that convert organic molecules to methane immediately prior to detection.
<h3>Why is it important?</h3>
The FID has two main challenges: lack of uniform response and low response to certain compounds. The Polyarc enhances your FID to solve these challenges by giving your FID a uniform response to nearly all organic molecules. The result is more accurate data, improved productivity, lab efficiencies, and the ability to detect more compounds.
<h3>How Does the Polyarc® System Work to Simplify and Improve GC/FID Quantification?</h3>
The Polyarc system has a catalytic microreactor that enhances GC/FIDs by converting all organic compounds to methane molecules prior to detection by the FID. The result?
A universal response for ALL organic molecules.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Polyarc_FID_vs_FID_Response_Factors_0f9c958558/ARC-PolyarcFID-vs-FID-Response-Factors.jpg" alt="ARC: Comaprison of Polyarc/FID vs FID Response Factors.jpg"/>
<h3>The Polyarc System Features an Optimized Design and Seamless Integration</h3>
The Polyarc system is the first commercial technology of its kind. The device uses proprietary technologies including novel catalysts, a specially designed 3D-printed micro reactor, and fast seamless integration into existing equipment.
The optimized internal design and catalyst microstructure maintains separation performance and peak shape while increasing sensitivity and enabling accurate quantification without calibration standards.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Optimalizovany_design_a_specialne_navrzeny_3_D_tisteny_mikroreaktor_Polyarc_70ccedc41e/ARC-Optimalizovany-design-a-specialne-navrzeny-3D-tisteny-mikroreaktor-Polyarc.jpg" alt="ARC: Specially designed 3D-printed micro reactor Polyarc"/>
<h3>Perform Cutting-Edge Chromatography on Any Organic Compound with a Polyarc® System</h3>
Realize a greater breadth of analysis with improved detection of compounds previously invisible or with an extremely low sensitivity by gas chromatography using FID only — while reducing the need for time intensive calibration.
The careful selection and robust catalyst design enables the analysis of a wide variety of compounds including a range of heteroatoms, compounds of various sizes, and samples containing common catalytic poisons (e.g., S).
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Analyza_siroke_skaly_sloucenin_pomoci_Polyarc_systemu_3e18241358/ARC-Analyza-siroke-skaly-sloucenin-pomoci-Polyarc-systemu.png" alt="ARC: Polyarc system enables the analysis of a wide variety of compounds"/>
<h3>How Does the Polyarc System Compare to a Methanizer?</h3>
A conventional methanizer converts CO and CO₂ to methane, allowing low level FID detection of CO and CO₂. The significant advantage of the Polyarc system is that it converts all compounds to methane, allowing not only for the detection of CO and CO₂ , but also millions of other organic compounds.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Srovnani_systemu_Polyarc_s_metanizerem_7df16e09c7/ARC-Srovnani-systemu-Polyarc-s-metanizerem.jpg" alt="ARC: Comparison of the Polyarc System with a metanizer"/>

ARC Jetanizer (Methanizer)

The Jetanizer is the easiest and most robust methanizer.

<h3>What is Jetanizer™?</h3>
The Jetanizer is the easiest and most robust methanizer. A methanizer is a chemical reactor that converts carbon dioxide and carbon monoxide to methane to enable sensitive detection by a flame ionization detector (FID) from &lt;20 ppb to 100%!
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Analyza_CO_2_od_1ppm_do_100_s_pouzitim_GC_jetanizeru_FID_9c922be2e9/ARC-Analyza-CO2-od-1ppm-do-100percent-s-pouzitim-GC-jetanizeru-FID.jpg" alt="ARC: CO₂ analysis from 1ppm to 100% with GC/Jetanizer/FID"/>
<h3>Why is it important?</h3>
<h4>Low-level detection of CO and CO₂ is important in:</h4>
<ul>
<li>catalysis </li>
<li>hydrogen (H₂) purity analysis </li>
<li>dissolved gas analysis (DGA)</li>
<li>greenhouse gas (GHG) analysis, </li>
<li>transformer oil gas analysis (TOGA)</li>
<li>ethylene/propylene monomers analysis </li>
<li>safe entry analysis, and more</li>
</ul>
Traditionally, large nickel-catalyst-filled tube methanizers are used, however, they are prone to frequent failures, and they are difficult and time consuming to operate and maintain. 
<blockquote>
Legacy nickel catalyst methanizers take 2-6 hours to install and replace. Jetanizers take &lt;5 minutes.
</blockquote>
ARC’s Jetanizer solves these challenges by improving response, robustness and ease of installation, by incorporating state-of-the-art catalysts into an FID jet. Moreover, the Jetanizer enables low level &lt;1 ppm formaldehyde analysis by GC avoiding the pitfalls of HPLC analysis of formaldehyde.
<blockquote>
For use with these GC models: <a href="https://gcms.labrulez.com/products?category=1&amp;manufacturerItems=10">Agilent 5890, 6890, 7890, 8890, Intuvo</a>, <a href="https://gcms.labrulez.com/products?category=1&amp;manufacturerItems=1">Shimadzu 2010, 2030 GC</a>.
</blockquote>
<h3>Benefits over Traditional Methanizers</h3>
<ul>
<li>Lower up-front cost</li>
<li>No extra plumbing: minimize fittings and leaks</li>
<li>No extra heater or controller: utilizes heat from FID</li>
<li>FAST installation: Less than 5 minutes</li>
<li>Ability to be used with formaldehyde</li>
<li>Higher sulfur tolerance</li>
<li>Higher catalytic activity = larger linear dynamic range</li>
<li>Free up space on the GC</li>
<li>No toxic metals: The Jetanizer™ does not contain nickel catalysts</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Kalibrace_analyzy_CO_2_s_pouzitim_GC_jetanizeru_FID_2f0b6171fc/ARC-Kalibrace-analyzy-CO2-s-pouzitim-GC-jetanizeru-FID.jpg" alt="ARC: CO₂ analysis calibration with GC/Jetanizer/FID"/>

ARC GCxGC Xpansion

ARC’s simple stop-flow modulator can be installed in minutes and turn any GC into a powerful multi-dimensional separation machine. ARC’s modulator emphasizes robustness, simplicity, and ease of use to allow anyone from a novice GC user to a veteran expert to generate valuable chemical data on the most complex samples. 

<h3>No-fuss GCxGC solution</h3>
This affordable package includes free, open-source software (visualization only), and ARC’s lifetime support. For power users we offer GC Image software. 
<h3>Why choose us?</h3>
<ul>
<li>Affordable</li>
<li>Robust design</li>
<li>Simple and easy self-installation or professional installation</li>
<li>Dramatically increased peak capacity</li>
<li>Easily switch between 1D and 2D GC</li>
<li><a href="https://www.activatedresearch.com/gcxgc_vis/">Free visualization software</a></li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_ARC_G_Cx_GC_Xpansion_9536cf0985/ARC-ARC-GCxGC-Xpansion.jpg" alt="ARC: ARC GCxGC Xpansion solution"/>
<h3>Why should I use GCxGC?</h3>
The separation of compounds by gas chromatography is typically performed using a single analytical column. As samples become more complex, it can become difficult to separate all the compounds from each other and they can start to overlap, or co-elute. Longer or narrower columns can be used to increase resolving power, but with diminishing returns.
Comprehensive two-dimensional GC, or GCxGC, drastically increases separation power by adding a second analytical column after the first column. A modulator placed between the two columns pulses the analytes from the first column onto the second column. When the columns are orthogonal in separation power, this technique can result in an order of magnitude increase in the number of analytes that can be detected.
ARC’s solution takes advantage of stop-flow modulation to make GCxGC an attainable configuration for any analytical laboratory. It involves continually sampling the effluent from the first column into an accumulator tube and re-injecting it onto a second, smaller column with orthogonal separation. This second separation happens in the time it takes to accumulate the next sample. The pulse time is known as the modulation time.

ARC Precision Split

ARC’s PrecisionSplit device allows scientists and chromatographers to take advantage of the quantitative power of the Polyarc/FID in combination with the mass identification power of the mass spectrometer, all in the same injection in real time.

<h3>Why does my MS need an FID?</h3>
A mass spectrometer (MS) provides valuable qualitative data, but poses several challenges to accurate quantification. Adding a flame ionization detector (FID) in parallel with the MS gives complementary quantitative carbon concentrations with minimal extra effort or equipment. We believe every MS needs an FID companion for quantitative analysis, especially for non-targeted analysis or tentatively identified compounds where quantification is desired.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Precision_Split_6271ed1240/ARC-Precision-Split.jpg" alt="ARC: Precision Split"/>
<h3>The benefits of a MS/FID split:</h3>
<ul>
<li>Virtually eliminate response factor variability</li>
<li>Quantify accurately (better linearity, more consistent response, fewer calibration errors)</li>
<li>Improve sensitivity for poor ionizers with the FID</li>
<li>Save your source!</li>
</ul>
<h3>The Data</h3>
Response factor (RF) variation in the mass spectrometer (i.e., the relative response of the MS to different chemicals) can lead to significant errors in quantification. Two compounds that have the same response/area in the MS can have concentrations that differ more than 100-fold (see <a href="https://www.sciencedirect.com/science/article/pii/S0731708520304283">Jordi et al.</a>). 
As you can see below, the Polyarc/FID split can reduce this response factor variation so that accurate quantification of tentatively identified compounds is possible.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Variance_RF_u_MS_detektoru_8e02773edc/ARC-Variance-RF-u-MS-detektoru.jpg" alt="ARC: RF variation with MS"/>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_Variance_RF_s_Polyarc_FID_splittrem_ca7def3cb3/ARC-Variance-RF-s-Polyarc-FID-splittrem.jpg" alt="ARC: RF variation with Polyarc/FID split"/>

ARC ISOTOPE (COMBUSTION REACTOR FOR IRMS)

The World’s First Low Temperature Combustion Reactor for GCC-IRMS

Winner of <a href="https://theanalyticalscientist.com/techniques-tools/tasias-2018-strokes-of-genius">The Analytical Scientist Innovation Awards in 2018</a>, the ARC Isotope was developed for low-temperature combustion of steroids and hydrocarbons for carbon isotope measurements. 
The system easily integrates into existing instrumentation and outperforms conventional combustion reactors.
<h3>GCC-IRMS Chromatograms of steroids and alkanes using the ARC Isotope reactor show excellent performance and operability compared with legacy reactors.</h3>
<h4>Advantages Include:</h4>
<ul>
<li>Excellent Performance</li>
<li>Lower Operating Temperature</li>
<li>Reduced Complexity</li>
<li>Improved Robustness</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ARC_GCC_IRMS_chromatogramy_steroidu_a_alkanu_s_pouzitim_reaktoru_ARC_ISOTOPE_d6299edd7a/ARC-GCC-IRMS-chromatogramy-steroidu-a-alkanu-s-pouzitim-reaktoru-ARC-ISOTOPE.jpg" alt="ARC: GCC-IRMS chromatograms of steroids and alkanes using ARC ISOTOPE reactor"/>
Data provided by Tobias, H.J., et al., Analytical Chemistry, <a href="https://pubs.acs.org/doi/10.1021/acs.analchem.8b05043">Read More</a>

DataApex Clarity Chromatography Software

Clarity is a chromatography data software for data acquisition, processing, and instrument control in regulated environment. Clarity is a flexible solution for devices from different vendors, supporting different applications.

Optional control modules provide integrated control of selected instruments such as GCs, LCs, pumps, detectors, autosamplers, etc. Extensions provide functions for specific separation techniques or calculations such as PDA, GPC analysis, Mass spectrometry, or SST. Clarity can run in English, French, German, Russian, Spanish, and Chinese language. Support technicians and developers are close to their users and ready to provide extensive Support from DataApex.
<blockquote>
Ask for <a href="https://www.dataapex.com/product/clarity-demo">Clarity Demo version</a> which allows you to get your hands on software before purchase
</blockquote>
<h3>Main features</h3>
<ul>
<li>Measuring: Simultaneous data acquisition from up to four independent chromatographs, each chromatograph can acquire data from up to 32 detectors.
</li>
<li>Integration: There is an extensive possibility to modify chromatograms. The chromatogram can be changed by entering global parameters or interactively through direct graphic modification of the baseline.
</li>
<li>Overlay: Simultaneously displays a virtually unlimited number of chromatograms and their mathematical modification; for example, mutual deductions or derivations of any order.
</li>
<li>Calibration: Internal and external standard calculation methods, calibration of groups of peaks, and reference peaks method for better identification.
</li>
<li>Wide range of supported instruments: Control modules in Clarity allow users to control various instruments in their lab. See our growing <a href="https://www.dataapex.com/controls">List of supported instruments</a>.
</li>
<li>Extensions completing your workflow: Clarity Extensions integrates your workflow into one application. GPC calculations, PDA data processing, gas or detailed hydrocarbon analyses according to selected norms, and much more.
</li>
<li>Automated measuring support: Sequence tables for any set of samples with or without an autosampler.
</li>
<li>Postrun: Automatically displays, prints, exports, and starts other programs after the completion of a measurement.
</li>
<li>Summary result tables: Displays and prints selected results from all simultaneously displayed chromatograms.
</li>
<li>User settings: User selects parameters for peak display and the specification for axes, including color from an extensive array of color settings. Text labels and lines, either as part of the area or anchored to a chromatogram, may also be inserted.
</li>
<li>Export: Optional exportation of all results, with or without the chromatogram, in various formats, into a file or clipboard.
</li>
<li>Import: Imports chromatograms or mathematical curves, which have been saved in text or AIA formats, from other programs.
</li>
<li>LIMS: Clarity offers connectivity with LIMS, both for sample submission and result output. This can be done via convenient ASCII transfers.
</li>
<li>Method and calibration history: Each chromatogram can easily be displayed under the same conditions as when it was printed, exported, or saved.
</li>
<li>Column performance: Calculations of peaks in terms of symmetry, efficiency, resolution; all by several methods (tangent, moments, etc.).
</li>
<li>Batch: Automatically batch processes, displays, exports, or prints any number of chromatograms.
</li>
<li>User calculations: Users can define custom calculations in the Result and Summary tables. Using the integrated editor, you can create your own columns from original columns and individual mathematical functions.
</li>
<li>User accounts: Sets up access rights and passwords (including their parameters, e.g., minimum length, validity, etc.). Each user can define his or her own appearance of the software.
</li>
<li>Audit trail: Records selected events and operations into a special file. Records selected operations directly into a chromatogram.
</li>
<li>Electronic signature: Each chromatogram can be signed electronically. Signature selection is based on the username or the signature certificate.
</li>
<li>Networked Solution: Clarity chromatography software files can be accessed from networked computers using Clarity Offline software. This enables the offline evaluation of chromatograms, development of new methods, and printing reports. See the <a href="https://gcms.labrulez.com/products/1000">Clarity Offline</a> for more details.
</li>
<li>Language Localizations available: Useful for non-English speakers. At the moment, there are French, German, Russian, Spanish, and Chinese localizations available in a single installation package. Simply switch to your preferred language anytime.
</li>
<li>Competitive approach: The chromatography market offers many specialized HPLC data systems or GC data systems; these are often provided with the purchased instrument. It is usually complicated to integrate such software into the workflow of the laboratory since they do not enable direct control of additional instruments. Compared to other small-scale solutions, Clarity offers a wide range of directly controlled instruments as well as optional Extensions for specific separation techniques. On the other hand, complex solutions with a wide scope of features and scalable design are quite expensive, which is a limiting factor for many customers. Another drawback of the large solutions is their complexity which imposes high demands on users. Compared to this, Clarity represents a scalable medium-ranged solution with a steep learning curve and competitive prices.
</li>
</ul>
<h3>Clarity configurations examples</h3>
<h4>One chromatograph with two detectors</h4>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Data_Apex_Clarity_Chromatograficky_Software_Clarity_configurations_examples_One_chromatograph_with_two_detectors_ae482b83b8/DataApex-Clarity-Chromatograficky-Software-Clarity-configurations-examples-One-chromatograph-with-two-detectors.jpg" alt="DataApex Clarity Chromatography Software: Clarity configurations examples - One chromatograph with two detectors.jpg"/>
<ul>
<li>The HPLC measures on two detectors. Clarity will acquire two separate signals sharing a common timebase (synchronized START/STOP). A resulting chromatogram will contain two signals.</li>
</ul>
<h4>Two chromatographs, one with multiple detectors</h4>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Data_Apex_Clarity_Chromatograficky_Software_Clarity_configurations_examples_Two_chromatographs_one_with_multiple_detectors_b21dc07faf/DataApex-Clarity-Chromatograficky-Software-Clarity-configurations-examples-Two-chromatographs-one-with-multiple-detectors.jpg" alt="DataApex Clarity Chromatography Software: Clarity configurations examples - Two chromatographs, one with multiple detectors.jpg"/>
<ul>
<li>This example displays a configuration with two chromatography systems (GC + HPLC) where the HPLC system uses multiple detectors. All the detectors attached to the HPLC Instrument will share common timebase (synchronized START/STOP). The GC detector will be independent.</li>
</ul>
<h4>Two chromatographs, one digital control</h4>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Data_Apex_Clarity_Chromatograficky_Software_Clarity_configurations_examples_Two_chromatographs_one_digital_control_1bf9cec334/DataApex-Clarity-Chromatograficky-Software-Clarity-configurations-examples-Two-chromatographs-one-digital-control.jpg" alt="DataApex Clarity Chromatography Software: Clarity configurations examples - Two chromatographs, one digital control.jpg"/> This example displays a configuration with two chromatography systems (GC + LC). The GC is connected and controlled via digital interface *, using a GC Control appropriate module.
<h4>Four chromatographs with autosampler each</h4>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Data_Apex_Clarity_Chromatograficky_Software_Clarity_configurations_examples_Four_chromatographs_with_autosampler_each_945873d808/DataApex-Clarity-Chromatograficky-Software-Clarity-configurations-examples-Four-chromatographs-with-autosampler-each.jpg" alt="DataApex Clarity Chromatography Software: Clarity configurations examples - Four chromatographs with autosampler each.jpg"/>
<ul>
<li>This example displays a configuration with two chromatography systems (GC + LC). The GC is connected and controlled via digital interface *, using a GC Control appropriate module.</li>
</ul>
<a href="https://www.dataapex.com/controls">List of supported instruments</a>
<a href="https://www.dataapex.com/product/clarity-std-compatibility">Compatible Windows OS and Hardware</a>
<a href="https://www.dataapex.com/product/clarity-21cfr-compliance">Clarity 21 CFR Part 11 compliance</a>

Products distributed by LabRulez - page 12

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