1. Quantitative static Time-of-Flight Secondary Ion Mass Spectrometry analysis of anionic minority species in microelectronic substrates
- Author
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C. Trouiller, Didier Léonard, Marc Juhel, L.F.Tz. Kwakman, C. Wyon, and X. Ravanel
- Subjects
Static secondary-ion mass spectrometry ,Chemistry ,Analytical chemistry ,General Physics and Astronomy ,Context (language use) ,Surfaces and Interfaces ,General Chemistry ,Condensed Matter Physics ,Mass spectrometry ,Surfaces, Coatings and Films ,Ion ,Secondary ion mass spectrometry ,Time of flight ,Vapour phase decomposition ,Inductively coupled plasma mass spectrometry - Abstract
Reliability and yield of nano-electronic devices can be seriously affected by the presence of surface contamination, even at low concentration. The microelectronics industry is, thus, in need for a quantitative, highly sensitive surface analysis technique capable of detecting both elementary and molecular species present at the surface. Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) provides a submicronic lateral resolution and excellent sensitivity with high secondary ion yields on a broad mass range but, nevertheless, remains a qualitative technique. To convert normalized ion intensities into concentrations and, thus, to provide reliable quantification, the so-called relative sensitivity factors (RSFs) need to be determined. In earlier studies, ToF-SIMS RSFs for trace metals were determined from the calibration of ToF-SIMS positive ion intensities against quantitative analysis techniques able to determine a surface coverage such as vapour phase decomposition inductively coupled plasma mass spectrometry (VPD-ICP-MS) or total reflection X-ray fluorescence (TXRF) results. Here, the aim is to quantify elementary anionic minority species (S, Cl, P, Br). Deliberately contaminated samples were prepared and analyzed with ToF-SIMS and several quantitative surface analytical techniques like TXRF, liquid phase extraction ionic chromatography (LPE-IC) or VPD-ICP-MS. None of these latter techniques can by itself successfully handle all the anionic species cases and ToF-SIMS turns out to be the more versatile and precise characterization technique in this context.
- Published
- 2008