Experimental adaptive optimization of mass spectrometer ion optic voltagesusing a genetic algorithm

Citation
Sd. Carpenter et al., Experimental adaptive optimization of mass spectrometer ion optic voltagesusing a genetic algorithm, REV SCI INS, 70(5), 1999, pp. 2262-2267
Citations number
31
Categorie Soggetti
Spectroscopy /Instrumentation/Analytical Sciences","Instrumentation & Measurement
Journal title
REVIEW OF SCIENTIFIC INSTRUMENTS
ISSN journal
00346748 → ACNP
Volume
70
Issue
5
Year of publication
1999
Pages
2262 - 2267
Database
ISI
SICI code
0034-6748(199905)70:5<2262:EAOOMS>2.0.ZU;2-G
Abstract
We use a genetic algorithm (GA) to optimize the mass resolution and detecti on efficiency of a multi-photon ionization, time-of-flight mass spectromete r. The algorithm uses experimental fitness functions to optimize eight volt ages supplied to a set of ion optics. The GA optimized the ion detection ef ficiency by a factor of 10 and the mass resolution by a factor of 11 over p revious settings obtained from computer simulations of the instrument. This experiment highlights the usefulness of adaptive algorithms to the experim ental optimization of multidimensional search problems commonly found in mo dern laboratories. (C) 1999 American Institute of Physics. [S0034-6748(99)0 4705-X].