4.2 Article

Surface analysis of photolithographic patterns using ToF-SIMS and PCA

Journal

SURFACE AND INTERFACE ANALYSIS
Volume 41, Issue 8, Pages 645-652

Publisher

WILEY
DOI: 10.1002/sia.3056

Keywords

ToF-SIMS; principal component analysis; photolithography; photoresist; surface analysis; pattern

Funding

  1. National ESCA and Surface Analysis Center for Biomedical Problems
  2. NIH [EB-002027, EB-001473]

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Time surface species. With the latest analyzers, ion sources and data analysis methods, imaging ToF-SIMS provides detailed 2-D and 3-D surface reactivity maps. Coupling multivariate analysis methods such as principal component analysis (PCA) with ToF-SIMS provide a powerful method for differentiating spatial regions with different chemistries. ToF-SIMS and PCA are used in this study to image and analyze a two-component photolithograph-patterned surface chemistry currently published and commercialized for bioassays, bio-chips and cell-based biosensors. A widely used reactive surface coupling chemistry, N-hydroxysuccinimide (NHS), and 2-methoxyethylamine (MeO) were co-patterned into adjacent regions on a commercial microarray polymer coating using standard photolithography methods involving deposition, patterning and removal of a routinely used photoresist material. After routine processing, ToF-SIMS and PCA of the patterned surface revealed significant residual photoresist material remaining at the interface of the NHS/MeO patterns, as well as lower concentrations of residual photoresist material remaining within the MeO-containing regions, providing spatial mapping and residue analysis not evident from other characterization techniques, As detection of surface photoresist residue remains an inherent challenge in photolithographic processing of a wide array of materials, the use of ToF-SIMS coupled with PCA is shown to be a high-resolution characterization tool with the high sensitivity and specificity required for surface quality control measurements following photolithography and pattern development relevant to many current processes. Copyright (C) 2009 John Wiley & Sons, Ltd.

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