Analytical Instrument Documents

Download all eight Delta QuickTime movie tutorials.

How to acquire and process proton spectra: process lists in 1D Processor, using the Pointer Tools to interact with data, peak picking, J-coupling tool, integration, plotting.

How to acquire and process 1D, 2D, nOe spectra: comparing multiple data sets in Data Slate, loading high-resolution projections, Level Tool, plotting, understanding through-bond correlations, common nOe experiments, data interpretation.

A comprehensive description and demonstration of contouring data with Level Tool.

How to acquire and process HMBC spectra: loading high-resolution projections, Level Tool, plotting, understanding HMBC, data interpretation.

How to acquire and process multiplicity-edited HSQC spectra: phasing 2D data, loading high-resolution projections, setting contrast colors in Level Tool, plotting, HMQC versus HSQC, data interpretation.

How to acquire and process COSY spectra: process lists in nD Processor, loading high-resolution projections into 2D Viewer, Level Tool, using Cursor mode to highlight coupling partners, plotting, 1D proton versus 2D COSY, data interpretation, common COSY sequence variants.

How to acquire and process HETCOR and HMQC spectra: loading high- resolution projections into 2D Viewer, Level Tool, plotting, understanding inverse experiments, HETCOR versus HMQC, data interpretation, normal versus inverse probe geometries.

How to acquire and process Carbon and DEPT135 spectra: Drag-and-Drop, manual 1D phasing, using Data Slate to display multiple spectra, plotting, why DEPT135?, data interpretation.

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).

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Other Resources

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  • Overview of the Basics of NMR Theory
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    Mass Spec Training
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    Mass Media Newsletter
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