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JEOL Resources

Documentation in support of your JEOL product.

Comprehensive 2D GC coupled with JEOL GC-HRTOFMS: GCxGC Applications

Diesel Fuel Analysis by GCxGC/EI (Hydrocarbon Classification); Biomarker Analysis by GCxGC/PI (Target Analysis using 2D EICC); Type Analysis by GCxGC/FI (Hydrocarbon Type Analysis); Synthetic Polymer Analysis by Pryolysis GCxGC/EI and FI (Unknown Compounds Analysis in Nylon 66); Additives Analysis by Pyrolysis GCxGC/EI and FI (Targeted Additives Analysis in Nitrile Butadiene Rubber); Natural Polymer Analysis by Pyrolysis GCxGC/EI and PI (Powerful Separation of the Main Components in a Japanese Lacquer Film); Soluble Organic Fraction Analysis by GCxGC/EI (Analysis of PAHs in Exhaust Gas); Electronic Waste Analysis by GCxGC/EI and Negative CI (Halogenated Compounds Analysis); Aroma Oil (Fragrance) Analysis by GCxGC/EI and FI (Molecular ion detection for Alcohol compounds); Sebum Analysis by GCxGC/EI (Pharmaceutical application)

Learning Polymer Materials Analysis from Natural Lacquer (Urushi)

Introduction: In recent years, polymer materials have become more complex due to increased composition and diversification so that a one-sided analysis is insufficient and multifaceted observations and analyses are required. In response to this need, JEOL has engaged in applied research under the keyword of "YOKOGUSHI" (multifaceted cross-instrumental) using various instruments organically. In this Urushi Note, multifaceted analysis methods for polymer materials are illustrated using the examples of natural lacquer (urushi) analysis.

JMS-T200GC msFineAnalysis Brochure

For qualitative analysis of High Resolution GC Mass Spec data, JEOL has developed msFineAnalysis software that integrates both EI and soft ionization data (GC/CI, PI, FI) with library search, exact mass, and isotope data. The software compares molecular formula information acquired from the NIST library search with soft ionization exact mass data analysis to ensure accurate qualitative results. It automatically examines the NIST library search results, reduces the possibility of false positive identifications, and selects the correct components from multiple candidates with similar scores. For unknown components not registered in the NIST libraries, it estimates molecular formulas by using the soft ionization data, acquires partial structure information and estimates structural formulas by using the EI data. msFineAnalysis takes qualitative GC-MS analysis to a whole new level, and is a major addition to the capabilities of our AccuTOF-GCx-plus

Integrated Analysis of Fatty Acid Methyl Esters using msFineAnalysis v2 - MSTips 301

Fatty acid methyl esters (FAMEs) are crucial for determining the fat content in food. Being environmentally friendly, they are also increasingly used as bio-diesel fuels. Many of the FAMEs are unsaturated with double bonds in the alkyl chains. As the number of double bonds increases (more unsaturation), the EI measurements tend to lack molecular ions. In this work, we measured a standard sample containing multiple FAMEs using EI and FI to detect their molecular ions. The resulting data was further examined by using msFineAnalysis to produce an integrated report for these compounds in which the library database search was combined with the molecular ion exact mass analysis to produce a qualitative identification of these compounds.

Integrated Analysis of Coffee Aroma by using a Headspace GC-HRMS - MSTips 280

Electron ionization (EI) is a hard ionization method that is commonly used with gas chromatography mass spectrometry (GC-MS). The mass spectral fragmentation patterns produced by EI are used for library database searches to identify compounds. Conversely, soft ionization methods like field ionization (FI) tend to produce clear molecular ions with minimal fragmentation. When high-resolution MS is used with these ionization techniques, the accurate masses for the fragment ions produced by EI and the molecular ions produced by soft ionization provide an additional dimension of information for the analytes. Combining the exact mass information with the results of conventional library search can enhance the accuracy of identification compared to the use of library search alone.  In this work, we introduce the msFineAnalysis software and use it to automatically combine data acquired by GC/EI and GC/soft ionization for the qualitative analysis of coffee headspace.

Integrated Analysis of an Acrylic Resin using msFineAnalysis v2 - MSTips 300

In 2018, msFineAnalysis Ver.1 software was released in which data acquired by EI, soft ionization, and accurate mass measurements were automatically integrated to generate a qualitative report for samples measured by these techniques with GC-MS. Recently, msFineAnalysis Ver.2 was introduced as an enhanced version with additional features. In this work, we will describe the changes in Ver.2, which now includes chromatographic deconvolution, and present applications using the new features.

Analyzing a Specific Component using Group Analysis of msFineAnalysis Ver. 2 - MSTips 303

In 2018, we announced the msFineAnalysis software which was designed to automatically integrate two types of data acquired by EI and soft ionization. Recently, we developed msFineAnalysis Version 2, an enhanced version with additional features. msFineAnalysis Version 2 incorporates two new features: Chromatographic Deconvolution and Group Analysis. In this work, we use the group analysis capabilities of the software to evaluate the pyrolysis GC-MS results for a vinyl acetate resin.

Non-targeted analysis of electronics waste by comprehensive two-dimensional gas chromatography combined with high-resolution mass spectrometry: Using accurate mass information and mass defect analysis to explore the data

Comprehensive two-dimensional gas chromatography (GC×GC) and high-resolution mass spectrometry (HRMS) offer the best possible separation of their respective techniques. Recent commercialization of combined GC×GC–HRMS systems offers new possibilities for the analysis of complex mixtures. However, such experiments yield enormous data sets that require new informatics tools to facilitate the interpretation of the rich information content. This study reports on the analysis of dust obtained from an electronics recycling facility by using GC×GC in combination with a new high-resolution time-of-flight (TOF) mass spectrometer. New software tools for (non-traditional) Kendrick mass defect analysis were developed in this research and greatly aided in the identification of compounds containing chlorine and bromine, elements that feature in most persistent organic pollutants (POPs). In essence, the mass defect plot serves as a visual aid from which halogenated compounds are recognizable on the basis of their mass defect and isotope patterns. Mass chromatograms were generated based on specific ions identified in the plots as well as region of the plot predominantly occupied by halogenated contaminants. Tentative identification was aided by database searches, complementary electron-capture negative ionization experiments and elemental composition determinations from the exact mass data. These included known and emerging flame retardants, such as polybrominated diphenyl ethers (PBDEs), hexabromobenzene, tetrabromo bisphenol A and tris (1-chloro-2-propyl) phosphate (TCPP), as well as other legacy contaminants such as polychlorinated biphenyls (PCBs) and polychlorinated terphenyls (PCTs).

Analytical Instruments Documents

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Corona - Glow Discharge (DART Ion Source)

February 22, 2020
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