Paper
2 September 1997 Molecular and ionic contamination monitoring for cleanroom air and wafer surfaces
Peng Sun, Marty Adams, Larry Shive, Saeed Pirooz
Author Affiliations +
Abstract
Advances in the electronic industry toward large-scale integration of semiconductor devices have placed strict demands on the ability to measure and monitor ultratrace levels of impurities. Even though they have been found to have increasingly detrimental impacts on the performance and yield of semiconductor products, organic and non-metal ionic contaminants have not received the same attention as particles and metallics. Method developments for ultratrace measurements of molecular and ionic contamination are far behind the demands. This paper describes the use of different sampling and analytical techniques to assess and monitor molecular and ionic contaminants in cleanroom ambient air and on wafer surfaces. Thermal desorption gas chromatography mass spectrometry/nitrogen phosphorous detector is used for the identification and quantification of organic contaminants. Ammonium (NH4+) and inorganic anions are analyzed by using capillary electrophoresis with indirect UV detection methods. The identification and quantification of specific organic compounds, which outgas from cleanroom ULPA filters and wafer package boxes and tend to adsorb on silicon wafers, will be demonstrated. Ammonium and anion contamination for different wafer cleaning processes will be compared. The capabilities, applications, and limitations of these techniques will be discussed in further details.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Sun, Marty Adams, Larry Shive, and Saeed Pirooz "Molecular and ionic contamination monitoring for cleanroom air and wafer surfaces", Proc. SPIE 3215, In-Line Characterization Techniques for Performance and Yield Enhancement in Microelectronic Manufacturing, (2 September 1997); https://doi.org/10.1117/12.284674
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Semiconducting wafers

Sensors

Contamination

Ions

Natural surfaces

Silicon

Phosphorus

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