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T Gregory Schaaff

Publications and source records attributed to T Gregory Schaaff.

4 recordsLinked to original sources

Laser desorption and matrix-assisted laser desorption/ionization mass spectrometry of 29-kDa Au:SR cluster compounds.

Positive and negative ions generated by laser-based ionization methods from three gold:thiolate cluster compounds are mass analyzed by time-of-flight mass spectrometry. The three compounds have similar inorganic core masses ( approximately 29 kDa, approximately 145 Au atoms) but different n-alkanethiolate ligands associated with each cluster compound (Au:SR, R = butane, hexane, dodecane). Irradiation of neat films (laser desorption/ionization) and films generated by dilution of the cluster compounds in an organic acid matrix (matrix-assisted laser desorption/ionization) with a nitrogen laser (337 nm) produced distinct ion abundances that are relevant to different structural aspects of the cluster compound. Laser desorption/ionization of neat Au:SR compound films produces ions consistent with the inorganic core mass (i.e., devoid of original hydrocarbon content). Matrix-assisted laser desorption/ionization produces either ions with m/z values consistent with the core mass of the cluster compounds or ions with m/z values consistent with the approximate molecular weight of the cluster compounds, depending on ionization conditions. The ion abundances, and ionization conditions under which they are detected, provide insight into desorption/ionization processes for these unique cluster compounds as well as other analytes typically studied by matrix-assisted laser desorption/ionization.

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Semiautomated analytical image correlation.

Machine vision refers to computer programs consisting of a collection of pattern recognition and digital image processing algorithms (Fabel, G. Motion Control 2000, 53-54). A version of machine vision has been applied to correlating digital images generated by optical microscopy and secondary ion mass spectrometry (SIMS). By suitable application of image processing algorithms, semiautomated correlation between optical and secondary ion images is possible. For correlation of minor constituents evident in secondary ion images but invisible in optical images, correlation is performed by reference to the relative position of minor to major constituents. Precise coordinates of features apparent in one analytical image can be translated into the corresponding coordinates of an analytical image obtained by a different method. In principle, this capability yields a semiautomated system to combine complementary features of disparate imaging methods, such as secondary ion and optical microscopy.

Journal Article↗

A secondary ion microprobe ion trap mass spectrometer.

An ion trap mass analyzer has been attached to an organic secondary ion microprobe. A pressure differential >100 can be maintained between the ion trap and microprobe. The well-focused secondary ion beam can transit a small (2 mm) diameter tube, but gas flow from ion trap to microprobe is impeded. This pressure differential allows the microprobe to retain imaging capability. Ion trap and microprobe data systems are integrated by taking advantage of the highly reproducible periodicity of the ion trap operating in resonant ejection mode and asynchronous signal and data acquisition afforded by commercially available interface cards. Secondary ion mass spectra and images obtained indicate an approximately 10-fold improvement in sensitivity, although preliminary evidence indicates low (<1%) trapping efficiency. Image data acquisition using the ion trap for mass analysis requires at least 10 times as much time compared to using a quadrupole mass filter because the mass-selected instability mode is used for mass analysis, i.e., mass resolution in the ion trap is not continuous as it is in the quadrupole.

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