Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 52,
  • Issue 5,
  • pp. 643-648
  • (1998)

Program Considerations for Simplex Optimization of Ion Lenses in ICP-MS

Not Accessible

Your library or personal account may give you access

Abstract

The performance of an inductively coupled plasma mass spectrometer (ICP-MS) is dependent on the ion optic bias potentials. A discussion of the multielement optimization of the ICP-MS ion optics bias potentials using a Simplex algorithm is presented. Three objective functions were tested: a function developed by Leary; the combined ratio method (CRM); and the Euclidean distance from multicriteria target vector optimization. Both the Leary and the target vector optimization's performances were comparable, whereas the CRM optimizations placed an emphasis on obtaining similar signal intensities. Experiments determined that an initial Simplex starting size of 20% of the parameter space was optimal. A method for the selection of an appropriate target vector by predicting analyte signal intensity was also investigated. Signal intensities for all elements could be predicted with an acceptable margin of error (10- 30% ), provided that the same conditions were used. Comparisons of optimizations using a single mid-mass element vs. multielement optimizations revealed that the multielement approach is only slightly better. If the analyst wished to optimize lens settings to favor heavy or light elements, then an average mass was better than a mid-mass optimization.

PDF Article
More Like This
Simplex optimization method for illumination design

R. John Koshel
Opt. Lett. 30(6) 649-651 (2005)

Numerical optimization platform for precision glass molding by the simplex algorithm

Weidong Liu and Liangchi Zhang
Appl. Opt. 56(12) 3245-3250 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.