Automation of a Fourier transform ion cyclotron resonance mass spectrometer for acquisition, analysis, and e-mailing of high-resolution exact-mass electrospray ionization mass spectral data |
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Authors: | Nelson Huang Marshall M. Siegel Gary H. Kruppa Frank H. Laukien |
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Affiliation: | 1. Lederle Laboratories, Wyeth-Ayerst Research, Pearl River, New York, USA 2. Bruker Daltonics Inc., Billerica, Massachusetts, USA
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Abstract: | A system has been designed to automatically acquire high-resolution (>50,000 FWHM), exact-mass (mass measurement error ≤3 mmu) electrospray ionization mass spectra with a commercial Fourier transform ion cyclotron resonance mass spectrometer equipped with a high-field (9.4 tesla) superconducting magnet and a commercial autosampler. Upon the injection of each individual sample, the autosampler transmits a contact closure signal to the previously tuned and calibrated mass spectrometer to initiate data acquisition. A software package was designed to run off-line and to accept a sample list with input information for each of the samples. Then for each of the samples, the software automatically processes the acquired data, interprets the exact-mass data by correlating the observed masses with predicted masses computed from proposed elemental formulas, and then finally prints the spectra, peak lists, and exact-mass reports, and e-mails the exact-mass reports to the submitting chemists. With this automation package, large numbers of samples can be run unattended while obtaining exact masses for all the abundant ions in the spectra. Sample turnaround times are reduced with a corresponding increase in sample throughput. The performance of the system was evaluated with nearly 700 samples with a precalibrated instrument, without the presence of an internal standard. The system was found to be reliable and robust with a fitted standard deviation of 0.32 mmu and a small average systematic mass error of −0.28 mmu. Typical data acquired with the system have resolving powers >50,000 (FWHM) and mass errors <1.0 mmu. |
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