Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 3rd August 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you application notes by Agilent Technologies and Shimadzu and presentation by MDCW / University of Alberta!<h3>1. Agilent Technologies: Analysis of Trace Impurities in Monocyclic Aromatic Solvents Following ASTM D7504</h3>Dual simultaneous analysis using the Agilent 8860B gas chromatograph<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_trace_impurity_aromatic_solvents_analysis_astm_d7504_8860_gc_5994_9316en_agilent_c9fa6868e6.pdf">Full PDF for download</a></li></ul><section><div><div><div><div><div><div>The production of high-purity monocyclic aromatic hydrocarbons, such as benzene, toluene, ethylbenzene, and xylenes (BTEX), is a cornerstone of the modern petrochemical industry. These compounds serve as essential feedstocks for the synthesis of plastics, resins, and textiles. Because even trace impurities can adversely affect downstream chemical reactions and product quality, rigorous analytical testing is required to ensure these intermediates meet strict commercial specifications.&nbsp;ASTM D7504 is the industry-standard test method for determining the purity of, and trace impurities in, monocyclic aromatic hydrocarbons using gas chromatography (GC) with flame ionization detector (FID).1 This method is favored for its streamlined workflow; it utilizes effective carbon number (ECN) correction factors for area normalization. This eliminates the need for labor-intensive, multipoint calibrations for every individual impurity, allowing laboratories to calculate purity and quantify trace nonaromatics and aromatics with high precision.&nbsp;The application scope of ASTM D7504 covers a wide array of aromatic liquids, including benzene, toluene, mixed xylenes, and styrene. To comply with the method's stringent performance requirements, the GC system must&nbsp;demonstrate:&nbsp;<ul><li>High sensitivity: A limit of quantitation (LOQ) of at least 0.0006% by mass.</li><li>Good resolution: Maintaining a valley-to-peak ratio of no more than 50% for critical separations (such as p-xylene and m-xylene).&nbsp;</li><li>Strict precision: Highly reproducible peak areas to ensure accurate purity calculations.</li></ul>Implementing ASTM D7504 on a dual-channel GC/FID platform—where two independent analytical channels configured with identical injectors, columns, and detectors operate within a single GC oven—provides significant operational advantages:&nbsp;<ol><li>Enhanced laboratory throughput: By performing two injections simultaneously, the test lab can double its sample capacity per instrument, effectively reducing the cost-per-analysis and maximizing hardware ROI.&nbsp;</li><li>Method flexibility and redundancy: A dual-channel set up allows a lab to run different sample types (such as toluene on the front channel and xylene on the back) in a single oven cycle. Furthermore, it provides an immediate "back up" channel to maintain uptime during routine&nbsp;maintenance.&nbsp;</li></ol>For the system to be considered reliable, both channels should meet ASTM D7504 sensitivity, resolution, and precision requirements. In addition, both channels should yield consistent quantitative results for the same sample. The reproducibility limit (R) demonstrated in ASTM D7504 interlaboratory testing will be used to evaluate the result consistency between the two channels.ASTM D7504 recommends helium and hydrogen as carrier gas. In China, major Chinese petrochemical companies often align their internal quality control standards directly with ASTM D7504 when testing for export of high-purity chemical intermediates. Because nitrogen is commonly used in China, they commonly adapt the ASTM D7504 method to use nitrogen carrier gas.&nbsp;This application note demonstrates how dual-channel analysis on the Agilent 8860B GC, following ASTM D7504, delivers consistent and high-precision data using three types of carrier gas.<h4>Experimental</h4>An <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8860B">Agilent 8860B GC</a> was configured with dual split/splitless inlets and dual flame ionization detectors (FIDs). The sample introduction was made by dual <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7693A">Agilent 7693A automatic liquid samplers (ALS)</a> with high density turrets (16-vial). The analytical parameters and consumables are summarized in Tables 1 and 2. Data acquisition and analysis were conducted using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=OpenLab+CDS">Agilent OpenLab CDS version 2.8</a><h4>Conclusion&nbsp;</h4>The Agilent 8860B gas chromatography system configured with two identical analytical channels are applied for impurity analysis in monocyclic aromatic solvents using three carrier gases. Each analytical channel was evaluated according to the ASTM D7504 method in terms of resolution, sensitivity, quantitation precision, and recovery with satisfactory results. The quantitation results between the two channels are consistent with each other.&nbsp;<ul><li>Column resolution compounds pair demonstrated good separation with H/V no less than 5:1 for 300 ppm m-xylene and p-xylene solvent.&nbsp;</li><li>The LODs achieved for benzene on each analytical channel are less than 0.0001%, exceeding the 0.0002% LOD required by ASTM D7504.&nbsp;</li><li>The response and mass concentration precisions of most impurities in check standards are below 1%, meeting or exceeding the precision requirements in D7504.&nbsp;</li><li>Excellent recovery results, ranging from 93 to 105%, was achieved for added impurities, indicating good quantification accuracy based on the 8860B GC system.&nbsp;</li><li>The quantitation difference of all probe impurities between two channels is less than the reproducibility thresholds (R), demonstrating excellent across channel consistency</li></ul>Besides great instrument performance, the Agilent OpenLab CDS software can realize ECN based normalization for easy and fast quantitation and report generation. The 8860B dual channel GC system coupled with the OpenLab CDS software provides an accurate and reliable analysis of impurities in monocyclic aromatic solvents with satisfactory precision. Lab productivity can be improved significantly compared to the single channel analytical system.<h3>2. MDCW / University of Alberta: Leveraging Local Libraries for Positively Parsimonious Peak Tables</h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_6_Harynuk_f005bdafaf.pdf">Full PDF for download</a></li></ul><section><div><div><div><div><div><div>James J. Harynuk’s presentation, “Leveraging Local Libraries for Positively Parsimonious Peak Tables,” explores how custom mass spectral libraries can simplify and improve compound identification in complex GC×GC-(HR)MS datasets. GC×GC-MS is widely applied in petroleum, environmental, food/flavour, and omics research, where samples can contain hundreds or thousands of peaks. While expanded separation space, cleaner spectra, retention patterns, and high-resolution accurate-mass data provide strong identification capabilities, converting large datasets into coherent peak tables with consistent compound assignments across multiple samples remains challenging.The presentation demonstrates the approach using a field pea study investigating how nitrogen availability influences plant metabolism and volatile organic compounds. A conventional workflow based on peak finding and library searching can generate very large peak tables and inconsistent assignments. Incorporating retention indices (RI) and LECO’s Identification Grading System (IGS) substantially reduces the number of questionable peaks. In one example, a pea sample containing 789 detected peaks was reduced to 146 retained peaks after RI filtering and IGS scoring, producing a much more manageable dataset. However, conventional libraries still struggle with isomers and with compounds that repeatedly occur in a laboratory’s samples but cannot yet be confidently identified—the presentation calls these “unknown knowns.”Harynuk therefore proposes building a custom local HRMS library containing not only standards and confidently identified compounds, but also reproducible unknown features. To qualify for inclusion, a peak should have a high-quality spectrum, S/N &gt;100, chromatographic purity, occurrence in multiple technical replicates, an assigned retention index, and a unique identifier. Crucially, the exact chemical identity does not need to be known: an unknown but reproducible feature can receive an internal identifier such as “JJH-001” and be updated later as more information becomes available. This allows laboratories to retain analytically meaningful recurring signals instead of discarding them simply because a definitive library identification is unavailable.The results show that combining a custom library with local RI data and IGS filtering improves both the consistency and efficiency of peak-table generation. Compounds with IGS scores ≥3.0 were generally assigned the same identification across samples when the custom library was used, while reliance on NIST and IGS alone produced less consistent results. After correcting only a small number of problematic identifications per peak table, retention-index errors for custom-library entries dropped dramatically—in the evaluated samples, typically to around 0.5–1.9 RI units. The key recommendation is therefore straightforward: build a custom MS library, include recurring “unknown knowns,” collect local retention-index data, and apply identification-quality filters to obtain cleaner and more consistent GC×GC-MS peak tables with substantially less manual effort.<h3>3. Shimadzu: Simultaneous Analysis of Pesticide Residues in Food Using Triple Quadrupole GC-MS/MS with SPL Mode of a Multimode injection Unit (MMI)</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01234_en_d8cff47c74.pdf">Full PDF for download</a></li></ul><h4>User benefits</h4><ul><li>The MMI’s rapid heating and cooling technology significantly reduces waiting time during inlet maintenance, improving instrument uptime.&nbsp;</li><li>The Smart Pesticides Database enables automatic creation of analytical methods without the need for pesticide standards.&nbsp;</li><li>Peakintelligence for GCMS uses AI-based peak processing to deliver highly accurate analysis with no parameter settings required</li></ul>GC-MS/MS is an indispensable tool for the simultaneous analysis of pesticide residues in food. However, improving productivity in high-throughput workflows remains a persistent challenge. With the increasing use of simplified sample preparation methods such as QuEChERS, contamination of the inlet by matrix components is unavoidable, and frequent inlet maintenance, including liner replacement, is often required. Because this maintenance involves both cooling the inlet and waiting for temperature re-stabilization afterward, it can become a major source of instrument downtime.&nbsp;The newly developed Multi-Mode Inlet (MMI) incorporates Shimadzu’s proprietary thermal insulation technology, providing excellent temperature stability together with rapid heating and cooling performance. While maintaining high data compatibility with conventional split/splitless inlets, the MMI significantly reduces the waiting time associated with inlet maintenance.In this Application News, simultaneous multiresidue analysis in SPL mode is demonstrated for four food matrices with different characteristics - spinach, orange, avocado, and ginger - using the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ+8040+RX">GCMS-TQ 8040 RX triple quadrupole </a>GC-MS/MS equipped with the MMI.<h4>Data Analysis&nbsp;</h4>LabSolutions Insight, a quantitative data processing software package designed for high-throughput sample analysis, was used for data analysis, with Peakintelligence for GCMS applied as the peak integration algorithm (Fig. 6). Peakintelligence is an AI-based waveform processing algorithm that uses machine learning to emulate the peak processing performed by experienced analysts. It requires no operator-defined parameter settings and provides peak integration performance comparable to that of skilled users.&nbsp;For more information on improving the efficiency of pesticide data analysis using Peakintelligence for GCMS, please refer to Application News 01-00585-EN, “<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00585_en_7e311a3c77/an_01-00585-en.pdf">Time-Saving Data Processing for Pesticide Residues with Peakintelligence for GCMS</a>.”<h4>Conclusion&nbsp;</h4>In this Application News, an example of simultaneous multiresidue pesticide analysis in food using a triple quadrupole GC-MS/MS equipped with a Multi-Mode Inlet (MMI) was presented. By adopting the MMI, instrument downtime associated with inlet maintenance can be significantly reduced while maintaining high quantitative performance. In addition, by combining automated method creation with the Smart Pesticides Database and efficient data analysis using the AIbased waveform processing algorithm Peakintelligence for GCMS, highly accurate results were obtained even for complex food matrices. This system optimizes the overall analytical workflow, from method development and maintenance to data analysis, and can make a substantial contribution to improving productivity in high-throughput pesticide residue analysis.</div></div></div></div></div></div></section></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 32, 2026

Gas Chromatography–Mass Spectrometry (GC-MS) is a powerful analytical technique widely used for compound identification, quantification, and structural elucidation. By coupling the separation efficiency of gas chromatography (GC) with the detection and identification capabilities of mass spectrometry (MS), GC-MS enables highly sensitive and specific chemical analysis.&nbsp;Understanding how GC-MS works, and its underlying principles, helps scientists optimize analytical workflows, improve accuracy, and troubleshoot effectively whether in environmental testing, drug development, or forensic investigations.<h3>What is GC-MS?</h3>GC-MS is a hybrid analytical technique that combines the separation power of gas chromatography with the molecular identification capability of mass spectrometry.In gas chromatography, a vaporized sample is carried by an inert gas (such as helium or hydrogen) through a capillary column coated with a stationary phase. Each compound interacts differently with the stationary phase depending on its volatility and polarity, causing them to separate as they elute at distinct retention times.As compounds exit the column, they enter the mass spectrometer, where they are ionized and fragmented. The mass-to-charge ratio (m/z) of these ions is measured, producing a mass spectrum, a unique molecular fingerprint that enables unambiguous compound identification and quantification.This seamless coupling of GC and MS enhances analytical performance by combining chromatographic separation with mass-based detection, allowing even trace-level compounds to be analyzed in complex matrices.<h3>Principle of GC-MS</h3>The principle of gas chromatography–mass spectrometry involves two fundamental processes:<h4>Separation by Gas Chromatography</h4>Compounds are vaporized and separated in the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products?category=7&amp;manufacturerItems=50">GC column</a> based on their boiling points and interaction strength with the stationary phase. Less volatile compounds or those with stronger affinity for the column elute later, giving each component a unique retention time.<h4>Detection by Mass Spectrometry</h4>As compounds elute, they are introduced into the MS, where they undergo ionization commonly by electron impact or chemical ionization. Ionization produces charged fragments that are separated in a mass analyzer according to their mass-to-charge (m/z) ratio. The resulting mass spectra serve as fingerprints that enable identification and quantitation through comparison with spectral libraries.This dual process allows GC-MS to distinguish structurally similar molecules and perform trace-level analyses in complex mixtures with exceptional accuracy.<h3>Step-by-Step Working of GC-MS</h3><ul><li>Sample Introduction: A liquid or gaseous sample is introduced into the GC, typically with a split or splitless inlet, where it is vaporized immediately.</li><li>Separation in GC Column: The carrier gas propels the vaporized sample through a long capillary column. Compounds interact with the stationary phase, and those with greater affinity or lower volatility move slower, thus separating from other compounds.</li><li>Transfer to MS: As separated analytes elute, they are transferred into the mass spectrometer via a heated interface.</li><li>Ionization and Fragmentation: In the MS, an ion source generates charged ions and fragments. These fragments reflect the compound’s structure.</li><li>Mass Analysis: The mass analyzer (commonly a quadrupole, but also ion trap or TOF) separates ions by m/z. Each analyte produces a unique mass spectrum.</li><li>Detection and Data Output: Detectors (e.g., electron multipliers) record signal intensities at each m/z, producing a total ion chromatogram (TIC) and mass spectra, which the data system interprets for compound identification and quantification.</li></ul><h3>Applications of GC-MS</h3><ul><li>Forensic Science: Used in toxicology, drug identification, and arson investigations, GC-MS provides highly specific detection of trace evidence and controlled substances.</li><li>Pharmaceuticals: Supports drug purity testing, residual solvent analysis, and metabolite profiling during formulation and quality control.</li><li>Environmental Testing: Monitors pesticides, volatile organic compounds (VOCs), and pollutants in air, water, and soil samples to ensure regulatory compliance.</li><li>Food Safety: Detects contaminants, additives, and flavor compounds to maintain product safety and authenticity.</li><li>Clinical and Biomedical Research: Used in metabolomics and clinical diagnostics to identify volatile biomarkers and metabolites relevant to disease states.</li></ul><h3>Key Benefits of Using GC-MS</h3><ul><li>High Sensitivity and Specificity: Detects trace-level compounds in complex matrices.</li><li>Comprehensive Structural Information: Mass spectra provide molecular fingerprints for precise identification.</li><li>Separation and Identification Combined: Minimizes matrix interference and enhances quantitation accuracy.</li><li>Wide Application Range: Suitable for environmental, pharmaceutical, food, and forensic testing.</li><li>Extensive Spectral Libraries: Enables rapid identification of known and unknown compounds.</li></ul>A solid understanding of the <a target="_blank" rel="noopener noreferrer" href="https://www.phenomenex.com/resources/knowledge-center/gc-knowledge-center/understanding-the-essential-components-of-gas-chromatography">components of gas chromatography</a> such as injectors, columns, and detectors helps analysts optimize GC-MS system performance and ensure accurate, reproducible results.

GC-MS: Principles of How it Works?

In late February 2025, a train carrying benzene derailed in Hustopeče nad Bečvou, and within hours, a race was on to save the groundwater and surface water. One of the most toxic industrial substances began seeping into the gravel-sand subsoil. While fieldwork was underway to prevent the spread of contamination, decisions were already being made in the CXI TUL laboratories regarding how to subsequently clean up the contaminated rock environment.The accident ranks among the most serious environmental incidents in the Czech Republic in recent years. After a tanker train derailed, hundreds of metric tons of benzene leaked; due to the highly permeable geological subsoil, it quickly seeped into deeper soil layers and into the groundwater. The combination of the substance’s high toxicity and local conditions complicated both the emergency response and the subsequent remediation. The key was to stop further spread, determine the extent of the contamination, and establish a remediation strategy for the entire site.It was at this stage that CXI TUL became involved in the solution. At the request of the renowned remediation company DEKONTA, a.s., a team led by RNDr. Jan Němeček, Ph.D., began testing the feasibility of the in situ chemical oxidation (ISCO) method. This technology is designed to break down benzene directly within the rock matrix, without the need for extensive excavation of contaminated soil or the pumping out of large volumes of groundwater. The goal was simple: to find a method that would work quickly, safely, and under the actual conditions of the affected site.<h4>Benzene Remediation: Technically Simple, Complicated in Practice</h4>Benzene is a highly toxic and carcinogenic substance that rapidly penetrates into groundwater in permeable subsoil, where it dissolves and spreads further as the water flows toward surface water bodies. Benzene also binds to rock particles and migrates in the form of vapors into overlying unconsolidated layers.Scientists in Liberec therefore tested in situ chemical oxidation (ISCO) technology under laboratory conditions. The goal was to find an oxidant capable of breaking down benzene directly underground into less hazardous substances.The tests evaluated two main options: activated hydrogen peroxide and sodium peroxodisulfate. Both substances removed up to 99.99% of the benzene, but there was a difference in their kinetics and impacts on the natural environment. Activated hydrogen peroxide achieved nearly complete degradation of the contaminant within a single day. Activated sodium peroxodisulfate was slower and also significantly altered the chemistry of the water; it acidified the environment and increased the sulfate content in the water, which poses an additional environmental burden.For field applications, the researchers therefore unequivocally recommended activated hydrogen peroxide.<h4>Dosage Matters</h4>It was not just the oxidant’s effectiveness that was key. It was equally important to determine how the chemical reaction would behave in a real geological environment. The team of scientists therefore also analyzed what is known as soil oxidant consumption (SOD). It turned out that a significant portion of the oxidizing agent does not react solely with benzene but is also consumed to a significant extent by the rock environment itself, particularly by natural organic substances present in the fine-grained fraction of the soil.An oxidant consumption value was determined specifically for the local composition of the aquifers, which is essential for the correct dosing of chemicals in the field so that the remediation is not only effective but also economically viable and safe for surrounding ecosystems.<h4>One Year After the Accident: Research Turns into Real-World Assistance</h4>While the public often perceives university science as a distant world of laboratories and grant projects, it is precisely situations like this that demonstrate its practical impact. The results of the work by researchers at CXI TUL did not remain confined to academic studies but directly influenced decisions regarding the technology used to clean up one of the largest environmental accidents in recent years.

Science on the Front Lines: Cleanup of a Benzene Spill

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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 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"/>

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