<p><strong>Microplastics have emerged as one of the most widely discussed environmental contaminants of our time. Regardless of where we live, daily exposure to microplastics has become virtually unavoidable—these tiny plastic particles are present in the air we breathe, the water we drink, and the environments we inhabit. As researchers work to better understand the sources, transport pathways, and impacts of microplastics, the demand for reliable microplastic analysis methods continues to grow.</strong></p><p>While techniques such as FTIR and Raman spectroscopy have become standard tools for identifying microplastics, their utility is limited for smaller particles (i.e. nanoplastics) and in complex matrices. More advanced microplastic analysis methods can provide a deeper understanding of what these particles contain and how they may change over time in the environment.</p><div><h3><strong>The Limits of Spectroscopic Microplastic Analysis Methods</strong></h3><p><strong>Fourier-Transform Infrared</strong> (<strong>FTIR</strong>) and <strong>Raman spectroscopy </strong>are widely used microplastic analysis methods because they can<strong> identify polymer types</strong> by measuring how electromagnetic radiation interacts with a material. These techniques are valuable for determining whether a particle is polyethylene, polypropylene, polystyrene, or another common plastic. For many studies, this information is sufficient to confirm the presence of microplastics, especially in clean samples with sufficient microplastic density.</p><p>However, <a target="_blank" rel="noopener noreferrer" href="https://www.leco.com/application/environmental/"><strong>environmental samples</strong></a> are rarely clean and compositionally simple. Microplastic particles can become weathered and obscured by other materials in the environment, making their accurate identification with spectroscopy difficult. Additionally, if researchers want to understand what additives, degradation products, or pollutants are associated with the plastic, particle identification alone is not enough. Thus, FTIR and Raman spectroscopy methods alone struggle to thoroughly characterize these complex chemical components, particularly in challenging environmental matrices. As questions surrounding microplastic exposure become increasingly important, researchers require analytical techniques capable of examining the chemistry of a sample in greater detail, not simply confirming the presence of the physical particle itself.</p></div><div><h3><strong>Thermal Desorption and Pyrolysis GCxGC-TOFMS For Deeper Microplastic Analysis</strong></h3><p><strong>Thermal Desorption</strong> (<strong>TD</strong>) and <strong>Pyrolysis </strong>(<strong>Py</strong>) coupled with comprehensive two-dimensional gas chromatography and time-of-flight mass spectrometry (<a target="_blank" rel="noopener noreferrer" href="https://www.leco.com/core-analysis/gc-and-gc-ms/"><strong>GCxGC-TOFMS</strong></a>) offer a powerful alternative for investigating nano- and microplastics in complex samples. These techniques provide complementary information about sample composition.&nbsp;</p><p><strong>Thermal desorption</strong> releases volatile and adsorbed compounds, including environmental contaminants, degradation products, and VOCs associated with microplastic particles. This can reveal important information about chemicals present within or on the plastic.</p><p><strong>Pyrolysis </strong>thermally deconstructs the polymeric material, breaking it into GC-amenable characteristic degradation compounds. These compounds act as chemical markers that can be used to identify the various polymers present. When analyzing complex or heavily weathered microplastics that may be difficult to characterize using traditional spectroscopic techniques, pyrolysis is particularly advantageous.</p><p>The most significant benefit comes from pairing these techniques with comprehensive <strong>two-dimensional gas chromatography</strong>. Environmental samples often contain hundreds or even thousands of compounds that coelute in 1D GC-MS, making it difficult or impossible to identify each compound. GCxGC provides significantly greater separation capability, helping analysts distinguish important polymer markers from background matrix components. This enhanced separation improves the mass spectrometer’s ability to identify characteristic polymer pyrolysis products, even in highly complex environmental samples. As a result, researchers can detect and identify challenging microplastics without the extensive purification steps often required by other analytical workflows.</p><p>Another unique advantage of this approach is that thermal desorption and pyrolysis can be used in series on the same sample. Together, they create a more complete chemical profile of the sample.</p></div><div><h3><strong>A Powerful Microplastics Analysis Workflow for Deeper Insight into the Effects on Our Environment</strong></h3><p>FTIR and Raman spectroscopy remain valuable tools for rapid screening and flagging samples containing microplastic particles. However, by<strong> combining thermal desorption, pyrolysis, and GCxGC-TOFMS</strong>, analysts can obtain a <strong>much more comprehensive view of plastic</strong>s in their samples and their environmental implications. As environmental research continues to advance and concerns surrounding microplastic contamination grow, researchers will increasingly require information that extends beyond answering the question,&nbsp;<i>“What plastic is present?”&nbsp;</i>&nbsp;</p><p>Ultimately, this deeper level of characterization can provide new insights into the environmental fate of microplastics and help scientists better understand their potential impacts on ecosystems and human exposure.</p></div>

Surpassing the Limits of Traditional Microplastic Analysis Methods with Thermal Desorption and Pyrolysis GCxGC-TOFMS

Oligonucleotide and mRNA Analysis Resource Roundup

<p><strong>NIST26 introduces integrated chromatogram processing, deconvolution, and library searching for EI GC-MS and LC-MS/MS data, but the workflow begins with one essential requirement: chromatographic data must be available in the mzML format. In his presentation </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/Conversion_to_mz_ML_63e134bb34.pdf"><i><strong>Conversion to mzML Format for NIST26 Chromatogram Processing</strong></i></a><strong>, James Little of Mass Spec Interpretation Services explains how vendor data can be converted to mzML using either instrument-vendor software or the freely available MSConvert tool from ProteoWizard, and highlights several settings that are critical for successful processing in NIST26.</strong></p><h4><span><strong>NIST26 Chromatogram processing requires mzML</strong></span></h4><p>For the chromatogram-processing workflow described in the presentation, <strong>mzML is the accepted input format</strong>. Proprietary LC-MS or GC-MS data therefore need to be converted before they can be loaded into the NIST26 chromatogram-processing environment.</p><p>There are two principal ways to obtain an mzML file:</p><ul><li>conversion using software supplied by the instrument manufacturer,</li><li>conversion using <strong>MSConvert</strong>, which is included in the free <strong>ProteoWizard</strong> software package.</li></ul><p>Using an open format such as mzML also provides a practical way to move mass spectrometry data between different software environments without relying exclusively on proprietary vendor formats.</p><h4><span><strong>Using ProteoWizard and MSConvert</strong></span></h4><p>MSConvert is installed as part of the complete ProteoWizard package rather than as a separate application. After installing ProteoWizard, users can access either the graphical MSConvert interface or the command-line version.</p><p>The presentation recommends the stable release for routine work, while noting that newer or nightly builds may sometimes provide improved support for recently introduced vendor formats or additional control over data-processing filters. This can be particularly relevant when handling vendor files in which centroiding behavior or peak picking requires closer attention.</p><p>For most users, the graphical interface provides a straightforward route from proprietary raw data to an mzML file suitable for further NIST26 processing.</p><h4><span><strong>Start by selecting mzML as the output format</strong></span></h4><p>The first step in MSConvert is to select the source file or dataset using the <strong>Browse</strong> function.</p><p>The software supports a broad range of mass spectrometry data formats, and the file-selection window can either be restricted to a particular vendor format or set to display any supported spectral format.</p><p>After selecting the source data, the output format must be set to <strong>mzML</strong>. The screenshots in the presentation show this setting directly in the MSConvert options panel before the conversion is started.</p><p>The user can also select the destination folder and other file-output options before adding the selected dataset to the conversion queue.</p><h4><span><strong>Add the data and start the conversion</strong></span></h4><p>Once the source file and output settings have been selected, the file is added to the conversion list using the <strong>Add</strong> command.</p><p>The conversion itself is then launched with <strong>Start</strong>.</p><p>For simple datasets that are already stored in the correct spectral representation, this may be all that is required. However, James Little emphasizes an additional requirement that is particularly important for NIST26: the data must be <strong>centroided</strong>.</p><h4><span><strong>Centroided data are required</strong></span></h4><p>According to the presentation, <strong>profile-mode data are not acceptable for this NIST26 chromatogram-processing workflow</strong>. The spectra must instead be in centroided, or peak-picked, form.</p><p>Profile spectra contain the full measured shape of each mass spectral signal across the m/z axis. Centroided data reduce these profiles to discrete peaks represented by their characteristic m/z and intensity values.</p><p>If the original vendor data are still in profile mode, centroiding can be performed during conversion by adding the <strong>Peak Picking</strong> filter in MSConvert.</p><p>This means that the conversion step can perform two operations at once:</p><p><strong>vendor raw data → centroiding / peak picking → mzML</strong></p><p>The resulting mzML file can then be used as input for NIST26 chromatogram processing.</p><h4><span><strong>Peak Picking must be the first filter</strong></span></h4><p>One of the most important practical details in the presentation is the position of the Peak Picking operation in the MSConvert filter sequence.</p><p>If centroiding is required, <strong>Peak Picking must be the first algorithm or filter in the list</strong>. Placing another processing function before it can interfere with the intended conversion workflow.</p><p>MSConvert allows the user to select the Peak Picking filter, define the relevant MS levels, and add it to the processing sequence before starting conversion. The example shown in the presentation applies vendor-based peak picking to selected MS levels.</p><p>If there is uncertainty about whether the source data are already centroided, the Peak Picking filter can still be included. According to the presentation, applying it to data that are already centroided does not alter the file unnecessarily.</p><p>This provides a useful safeguard when the acquisition mode of an older dataset is uncertain.</p><h4><span><strong>Selecting the appropriate MS levels</strong></span></h4><p>Peak picking does not necessarily have to be applied identically to every spectrum in a dataset. MSConvert allows users to specify the <strong>MS levels</strong> to which the filter should be applied.</p><p>This is especially relevant for LC-MS/MS data, where a file can contain both precursor-level MS spectra and tandem MS spectra.</p><p>The conversion settings should therefore reflect the way the original data were acquired and how those data will subsequently be processed in NIST26.</p><h4><span><strong>Be aware of changes in file size</strong></span></h4><p>The presentation also notes that converted files may become substantially different in size from the original vendor files.</p><p>This is worth considering when working with large LC-MS/MS datasets or processing batches of chromatograms. The size of the resulting mzML file can depend on the original acquisition mode, centroiding, compression settings, the number of MS levels, and other output parameters.</p><p>Storage requirements should therefore be considered before converting large collections of raw data.</p><h4><span><strong>A simple workflow for preparing data for NIST26</strong></span></h4><p>The overall procedure presented by James Little can be summarized as a short sequence:</p><ol><li>Obtain the original vendor LC-MS or GC-MS data.</li><li>Open the data in MSConvert or use the vendor's own conversion software.</li><li>Select <strong>mzML</strong> as the output format.</li><li>Check whether the spectra are centroided.</li><li>If necessary, add <strong>Peak Picking</strong> as the first processing filter.</li><li>Select the appropriate MS levels.</li><li>Add the file to the conversion list.</li><li>Start the conversion.</li><li>Use the resulting mzML file for NIST26 chromatogram processing.</li></ol><p>The procedure itself is straightforward, but the centroiding requirement is important. A file can have the correct <code>.mzML</code> extension and still be unsuitable for the workflow if its spectra remain in profile mode.</p><h4><span><strong>From vendor data to integrated NIST26 processing</strong></span></h4><p>File conversion may appear to be a relatively minor step compared with deconvolution, spectral interpretation, and library searching, but it establishes the foundation for the entire downstream workflow.</p><p>By using mzML as the common input format, NIST26 can process data originating from different instrument platforms through a more consistent workflow. ProteoWizard and MSConvert provide a practical bridge between proprietary mass spectrometry files and this standardized format.</p><p>The key message from the presentation is therefore simple: <strong>convert to mzML, ensure the spectra are centroided, and place Peak Picking first whenever centroiding is required</strong>. Once those conditions are met, the data are ready for the integrated chromatogram-processing and library-searching capabilities available in NIST26.</p>

Conversion to mzML Format for NIST26 Chromatogram Processing

Article

Academy

Environment

Science and research

Software

Video

A unique company dedicated to serving science helping our customers drive productivity and accelerate results. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services.

Thermo Fisher Scientific

In 1936, the Laboratory Equipment Company introduced the first rapid carbon determinator for the American iron and steel industry.  Today, almost 80 years later, LECO is recognized globally as a leader in the development of high-quality analytical instrumentation, mass spectrometers, comprehensive two-dimensional chromatography, metallography & optical equipment as well as consumables.

LECO

My main interest is the identification of organic compounds by mass spectrometry in organic mixtures.

James Little/Mass Spec Interpretation Services

Thermo Scientific TraceGOLD™ TG-PBDE GC Columns

Use TraceGOLD TG-PBDE GC Columns for fast analysis of polybrominated diphenyl ethers (PBDEs) with high BDE-209 response.

<p><strong>Use Thermo Scientific TraceGOLD™ TG-PBDE GC Columns for fast analysis of polybrominated diphenyl ethers (PBDEs) with high BDE-209 response. This column is ideal for use with U.S. EPA method 1614.&nbsp;</strong></p><h4><strong>Key benefits of this columns include:</strong></h4><ul><li>Fast Analysis of PBDE</li><li>Excellent separation of BDE-49 and BDE-71 exceeds US EPA method 1614 resolution criteria</li><li>Unique treatment gives high BDE-209 response</li><li>High thermal stability—maximum temperatures up to 360°C</li></ul>

Thermo Scientific TraceGOLD™ TG-VVOC B GC Columns

Use the highly inert and efficient TraceGOLD TG-VVOC B GC columns for very volatile organic compounds.

<p><strong>Use Thermo Scientific™ TraceGOLD™ TG-VVOC B GC columns for unique selectivity of very volatile organic compounds (VVOC) like ozone precursors, air toxics, and volatile amines in environmental and industrial samples.&nbsp;</strong></p><p>This highly inert gas chromatography (GC) capillary column, combined with its unique stable bonded phases, ensures excellent chromatographic peak shapes and great stability in difficult matrices such as water or ammonia.</p><h4><strong>Key benefits of TraceGOLD TG-VVOC B GC Columns:</strong></h4><ul><li>Highly inert, good retention, and efficiency</li><li>Great stability and chromatographic performance in difficult matrices</li><li>Highly robust with max temp up to 290°C</li></ul>

Thermo Scientific Trace™ TR-1 GC Columns

Use Thermo Scientific Trace™ TR-1 non-polar GC column for method development and analysis of chlorinated and nitroaromatic compounds and environmental samples.

<p><strong>Use the Thermo Scientific™ TRACE™ TR-1 GC column for method development and chlorinated and nitroaromatic compounds and environmental analyses.&nbsp;</strong></p><ul><li>These non-polar phase, 100% dimethyl polysiloxane gas chromatography columns have a high operating temperature.</li><li><strong>Max. temperature: </strong>340/360 °C</li><li><strong>USP Type: </strong>G1, G2, G38</li></ul>

Thermo Scientific Proteome Discoverer Software

Identify and quantify peptides and proteins in complex biological samples using Thermo Scientific™ Proteome Discoverer™ software. 

<h3><strong>Comprehensive, extensible, and intelligent platform</strong></h3><p><strong>Thermo Scientific Proteome Discoverer Software is the ultimate toolbox for protein research, offering customizable workflows tailored to the complexities of modern proteomics. It simplifies the identification and quantification of proteins in complex biological samples, supporting a wide range of workflows, including peptide and protein identification, post-translational modifications (PTM) analysis, isobaric mass tagging, and label-free quantitation (LFQ). It handles data from diverse acquisition methods, such as data-independent acquisition (DIA), data-dependent acquisition (DDA), and wide window acquisition (WWA), ensuring comprehensive coverage.</strong></p><p><strong>Advanced tools </strong>like INFERYS™ Rescoring and the CHIMERYS™ intelligent search algorithm by MSAID significantly increase identification rates, protein coverage, and the discovery of unique peptides and PTMs. The software enhances protein quantitation for isobaric mass tags and LFQ, supporting multiple database search algorithms and dissociation techniques. Whether analyzing glycopeptides, top-down proteomics, proteoforms, or MS-based structural biology like chemical cross-linking (XL-MS), Proteome Discoverer Software enables scientists to extract deeper biological insights from their data.</p><figure class="image"><img style="aspect-ratio:1131/598;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_7_2221d76acd.jpg" alt="Thermo Scientific Proteome Discoverer Software: Proteome Discoverer software in peer reviewed articles." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_7_2221d76acd.jpg 245w," sizes="100vw" width="1131" height="598"></figure><h3><strong>Key benefits</strong></h3><h5><strong>Customize your data analysis</strong></h5><p>Use the node-based workflow editor to customize your data analysis for maximum coverage and confidence. Integrate database search results from multiple search engines such as SEQUEST™ HT, Mascot, MSAmanda, Byonic™ from Protein Metrics, and<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1756"><strong>Thermo Scientific ProSightPD</strong></a> software. Increase confidence in peptide identification and quantification using INFERYS Rescoring and enable a deeper mining of your DIA, DDA, or WWA data using the CHIMERYS intelligent search algorithm.</p><h5><strong>Perform relative quantitation</strong></h5><p>Measure and report the relative expression levels of isotopically labeled peptides for:</p><ul><li>TMT SPS MS3</li><li>Glycopeptide identification and quantification</li><li>Phosphopeptide identification and quantification</li><li>Top-down proteomics</li><li>Cross-linking</li></ul><p>Confidently and efficiently interpret your data with integrated statistical and visualization tools for a faster time to meaningful results.</p><h5><strong>Extensible workflow tools</strong></h5><p>Utilize third-party nodes and build in customization with the scripting node, while maintaining full integration into the Proteome Discoverer software framework to leverage visualization, statistical analysis, and biological interpretation tools to take your analysis to the next level.</p><figure class="image"><img style="aspect-ratio:1160/533;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_4_4d8ae8fcd2.jpg" alt="Thermo Scientific Proteome Discoverer Software: Extensibility - Connect to external tools via the Scripting Node; Integration with MSstatsTMT via custom script." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_4_4d8ae8fcd2.jpg 245w," sizes="100vw" width="1160" height="533"></figure><h3><strong>Comprehensive tools for proteomic studies</strong></h3><p>With a wide range of database search options and the ability to combine the output from multiple algorithms, Proteome Discoverer software increases confidence in results and decision making through cross-validation. Augment searches with intelligent<strong> INFERYS Rescoring</strong> to increase confidence in peptide identification and quantitation. Whether you acquire your data in <strong>DIA, DDA, or WWA mode, CHIMERYS</strong> <strong>intelligent search algorithm </strong>helps you dig deeper into your data to substantially increase the number of unique peptide identifications, improve protein coverage, extend quantitation capabilities, and uncover new insights.</p><p>Complete sequence coverage and confident identification of post-translational modifications (PTMs) is realized with support for multiple dissociation techniques including collision-induced dissociation (CID), higher-energy collision-induced dissociation (HCD) and electron-transfer dissociation (ETD) in tandem with built-for-purpose search engines.</p><h3><strong>Customizable data analysis workflows</strong></h3><p><strong>Automate and simplify data analysis</strong> through customizable workflows including full support for multiple quantitative workflows. Enjoy experimental flexibility for quantitation by employing isobaric mass tagging with TMT and TMTpro reagent or other isotopic labeling strategies or utilize label-free quantitation techniques. Map quantitative data to biological information through study management and leverage fast, robust algorithms for peak selection and peptide quantification to extract the maximum possible information from quantitative proteomics studies.</p><p>Refine acquisition strategies by generating inclusion and exclusion lists that can be directly imported into instrument methods. Confidently and easily facilitate data comparison, exchange, and verification in compliance with data standards developed by the HUPO Proteomics Standards Initiative (PSI).</p><figure class="image"><img style="aspect-ratio:1232/459;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteomics_Software_Solution_98e62449c5.jpg" alt="Thermo Scientific Proteome Discoverer Software: The workflow system in Proteome Discoverer allows for customizable workflows to analyze complex proteomics data. The workflow system is composed of nodes that can connect in linear or branched pathways. While these workflows are highly customizable, pre-defined workflows for common workflows such as TMT, LFQ, PTM identification and cross-linked peptide ID are included." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteomics_Software_Solution_98e62449c5.jpg 245w," sizes="100vw" width="1232" height="459"></figure><h5><strong>Interactive enrichment table from graphical results to find overrepresented pathways</strong></h5><figure class="image"><img style="aspect-ratio:1344/924;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_3_c01db3165a.jpg" alt="Thermo Scientific Proteome Discoverer Software: Interactive enrichment tables allow for the selection of up- or down-regulated proteins or peptides in any view, including volcano plots, PCA plots, and heat maps, and the visualization of corresponding Reactome pathways from the checked proteins to help derive biological interpretation of results. In addition to Reactome pathways, KEGG and Wikipathways as well as gene ontology terms and protein families can be visualized in the enrichment table." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_3_c01db3165a.jpg 227w," sizes="100vw" width="1344" height="924"></figure><h5><strong>Pathway maps</strong></h5><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_5_c087bb9d6f.jpg" alt="Thermo Scientific Proteome Discoverer Software: Pathways can also be directly visualized, providing biological context and background literature references using pathway maps." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_5_c087bb9d6f.jpg 245w," sizes="100vw" width="1119" height="584"></p><h5><strong>Interactive data visualization</strong></h5><figure class="image"><img style="aspect-ratio:973/879;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_6_2b32110442.jpg" alt="Thermo Scientific Proteome Discoverer Software: Interactive data visualization." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_6_2b32110442.jpg 173w," sizes="100vw" width="973" height="879"></figure>

Thermo Scientific Trace™ TR-1MS GC Columns

Use Thermo Scientific Trace™ TR-1MS low bleed nonpolar column for GC/MS environmental analyses that require high temperature and an inert phase.

<p><strong>With low bleed and a maximum operating temperature of 340–360°C, the Thermo Scientific™ TRACE™ TR-1MS column is ideal for all GC/MS applications. The column is particularly well suited for applications such as GC/MS environmental analyses, which require an inert phase that can operate at high temperature.</strong></p><h4><strong>Engineered for Superior Performance:</strong></h4><ul><li>Nonpolar phase, 100% dimethyl polysiloxane</li><li>High operating temperature</li><li>Inert phase suited for environmental analyses</li></ul><h4><strong>Excellent Quality and Reproducibility:</strong></h4><ul><li>Low bleed even at elevated temperatures</li><li>Outstanding robustness for difficult separations</li><li>Reliable and reproducible performance</li></ul><h4><strong>Applications:</strong></h4><ul><li>Chlorinated and nitroaromatic compounds</li><li>GC/MS environmental analyses</li></ul><h4><strong>Recommended For:</strong></h4><ul><li>Phthalates</li><li>Polymers</li><li>Total recoverable petroleum hydrocarbons (TRPHs)</li></ul><h4><strong>Alternative Uses:</strong></h4><ul><li>Chlorinated Aromatics</li><li>Organochlorine Pesticides</li><li>Organophosphorous Pesticides</li><li>PAHs</li><li>Paraffins</li><li>Polywax</li><li>Pyrethroids</li><li>Semivolatiles</li><li>Xylenes</li></ul><h4><strong>Similar To:</strong></h4><ul><li>DB-1</li><li>DB-Petro</li><li>BP1</li><li>HP-1</li><li>HP-1MS</li><li>Rtx™-1</li><li>Ultra-1</li><li>SPB™-1</li><li>SPB™-1 Sulfur</li><li>Petrocol™ DH</li><li>CP-Sil 5CB</li><li>RSL-150</li><li>RSL-160</li><li>ZB-1</li><li>CB-1</li><li>OV™-1</li><li>PE-1</li><li>007-1(MS)</li><li>SP™-2100</li><li>SE-30</li><li>RH-1</li><li>CC-1</li><li>CP-Sil 5CB MS</li><li>VF-1ms</li></ul>

Thermo Scientific Trace™ TR-5 GC Columns

Choose these excellent starting Thermo Scientific Trace™ TR-5 GC Columns for method development, capable of performing most required separations.

<p><strong>Excellent starting columns for method development,Thermo Scientific™ TRACE™ TR-5 GC Columns are capable of performing most required separations.</strong></p><ul><li>Nonpolar phase, 5% phenyl methyl polysiloxane</li><li>High operating temperature and extremely low-bleed</li><li>Widely used in a variety of applications</li></ul><h4><strong>Recommended For:</strong></h4><ul><li>Alcohols</li><li>Free fatty acids</li><li>Aromatics</li><li>Flavors</li><li>Low polarity pesticides</li></ul><h4><strong>Similar To:</strong></h4><ul><li>DB-5</li><li>BP5</li><li>Rtx-5</li><li>HP-5</li><li>Ultra-2</li><li>PTE-5</li><li>SPB5</li><li>MDN-5</li><li>CP-Sil 8CB</li><li>SPB-5</li><li>AT-5</li><li>ZB-5</li><li>007-2(MPS-5)</li><li>SE-52, SE-54</li></ul>

Thermo Scientific Trace™ TR-5MS GC Columns

Thermo Scientific™ TRACE TR-5MS GC Columns feature a popular GCMS phase for many applications.

<p><strong>Thermo Scientific™ TRACE TR-5MS GC Columns feature a popular GCMS phase for many applications.</strong></p><ul><li>Nonpolar phase, 5% phenyl polysilphenylene-siloxane</li><li>Low bleed and high stability</li><li>High signal-to-noise for increased sensitivity</li><li>High robustness to oxygen and water contamination</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Trace_TR_5_MS_GC_Columns_abcd2f6202.jpg" alt="Thermo Scientific: Trace™ TR-5MS GC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Trace_TR_5_MS_GC_Columns_abcd2f6202.jpg 234w," sizes="100vw" width="650" height="433"></p><h4><strong>Recommended For:</strong></h4><ul><li>Hydrocarbons</li><li>Solvents</li><li>Pesticides</li><li>Herbicides</li><li>Phenols</li><li>Amines</li></ul><h4><strong>Similar To:</strong></h4><ul><li>B-5</li><li>DB-5MS</li><li>DB-5.625 XTI-5</li><li>BPX5</li><li>Rtx-5MS</li><li>Rtx- 5</li><li>SilMS</li><li>AT-5</li><li>AT-5MS</li><li>007-5MS</li><li>SPB-5</li><li>CP-Sil 8CB</li><li>Ultra-2</li><li>HP-5</li><li>HP-5MS</li><li>HP5-TA</li><li>SPB-5</li><li>MDN-5s</li><li>VF-5ms</li><li>RSL-200</li><li>CB-5</li><li>OV-5</li><li>PE-5</li><li>007-2(MP-5)</li><li>SE-52</li><li>SE-54</li><li>PTE-5</li><li>CC-5</li><li>RH-5ms</li><li>ZB-5</li></ul>

Thermo Scientific Trace™ TR-5HT GC Columns

Thermo Scientific™ TRACE TR-5HT GC Columns feature upper temperature limits as high as 400°C.

<p><strong>Thermo Scientific™ TRACE TR-5HT GC Columns feature upper temperature limits as high as 400°C.</strong></p><ul><li>Nonpolar phase, 5% phenyl polycarborane siloxane</li><li>Allow the elution of higher-boiling hydrocarbons up to C100</li><li>Low bleed even at elevated temperatures</li></ul><h4><strong>Recommended For:</strong></h4><ul><li>Hydrocarbons</li><li>Solvents</li><li>Pesticides</li><li>Herbicides</li><li>Phenols</li><li>Amines</li></ul><h4><strong>Similar To:</strong></h4><ul><li>DB-5</li><li>BP5</li><li>Rtx-5</li><li>HP-5</li><li>Ultra-2</li><li>PTE-5</li><li>SPB5</li><li>MDN-5</li><li>CP-Sil 8CB</li><li>SPB-5</li><li>AT-5</li><li>ZB-5</li><li>007-2(MPS-5)</li><li>SE-52</li><li>SE-54</li></ul>

Thermo Scientific Trace™ TR-35MS GC Columns

Thermo Scientific™ TRACE TR-35MS GC Columns are mid-polarity columns excellent for many applications.

<p><strong>Thermo Scientific™ TRACE TR-35MS GC Columns are mid-polarity columns excellent for many applications.</strong></p><ul><li>Mid-polarity phase, 35% Phenyl polysilphenylene-siloxane</li><li>Exceptionally low surface activity</li><li>Low-bleed even at elevated temperatures</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Trace_TR_35_MS_GC_Columns_89d199bd76.jpg" alt="Thermo Scientific: Trace™ TR-35MS GC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Trace_TR_35_MS_GC_Columns_89d199bd76.jpg 244w," sizes="100vw" width="650" height="416"></p><h4><strong>Recommended For:</strong></h4><ul><li>Pesticides</li><li>Herbicides</li><li>Drugs of Abuse</li><li>Poly Aromatic Hydrocarbons</li><li>Pharmaceuticals</li></ul><h4><strong>Similar To:</strong></h4><ul><li>DB-35</li><li>DB-35MS</li><li>HP-35</li><li>HP-35MS</li><li>MDN-35</li><li>Rtx-35</li><li>SPB-35</li><li>BPX35</li></ul>

Thermo Scientific Trace™ TR-50MS GC Columns

Thermo Scientific™ TRACE TR-50MS GC Columns are mid-polarity columns well-suited to GC/MS applications.

<p><strong>Thermo Scientific™ TRACE TR-50MS GC Columns are mid-polarity columns well-suited to GC/MS applications.</strong></p><ul><li>Mid-polarity phase, 50% Phenyl polysilphenylene-siloxane</li><li>Low-bleed decreases MS contamination</li><li>Particularly useful for applications requiring a higher temperature and more polarity than a 5% phenyl column</li><li>Column inertness results in minimal peak tailing and decreased breakdown of sensitive samples</li></ul><h4><strong>Recommended For:</strong></h4><ul><li>Herbicides</li><li>Drugs of Abuse</li><li>EPA 604, 608, 8060, 8081</li><li>Pharmaceuticals</li></ul><h4><strong>Similar To:</strong></h4><ul><li>OV-17</li><li>SP-2250</li><li>DB-17</li><li>DB-17ms</li><li>DB-17ht</li><li>BPX50</li><li>Rtx-50</li><li>SPB-50</li><li>HP-50+</li><li>HP-17</li><li>AT50</li><li>RSL-300</li><li>PE-17</li><li>CC-17</li><li>007-17(MPS-50)</li><li>SPB-17</li><li>ZB-50</li></ul>

Products from Thermo Fisher Scientific - page 19

Related content

Oligonucleotide and mRNA Analysis Resource Roundup

Conversion to mzML Format for NIST26 Chromatogram Processing

Surpassing the Limits of Traditional Microplastic Analysis Methods with Thermal Desorption and Pyrolysis GCxGC-TOFMS