Sampling of Fe in CIGS Solar Cell Using Large Area SIMS
Home » Sampling of Fe in CIGS, Solar Cell Using Large Area SIMS
Impurities, such as Fe, Ni and Cr, can adversely affect the performance of a CIGS solar cell. It is therefore important to understand how impurity concentrations may vary from surface location to location. The Fe contamination for CIGS on steel substrate is a common problem. SIMS is often used to determine Fe concentrations and uniformity at different locations (X Y).
The lateral distribution of Fe in CIGS/steel substrate is often observed to be non-uniform. Fe data collected using typical SIMS analytical conditions can therefore be misleading due to non-representative sampling. A better SIMS sampling approach is needed to address this issue.
A primary beam of oxygen ions (O2+) is used in SIMS analysis of Fe in CIGS. The spot size of a focus primary beam is ~ 15 to 20 μm. The primary beam is rastered over a square area, typically 200-250 μm in width.
Secondary ions (Fe+) generated from the center portion of the rastered area are collected. In a SIMS instruments, secondary ions can be detected using either EM, FC or Ion Image.
RESULTS- FE IN CIGS/ STEEL FOIL
Under typical SIMS analysis conditions, with a data collection area of ~ 25 μm (in diameter), Fe concentrations often show large variation from location to location.
In Figure 1 we show Secondary ion images of Fe in CIGS/Steel foil. Brighter spots represent higher Fe concentrations.
With a SIMS detection area of 25-60 μm, the Fe signal detected may not be representative of the average Fe concentration in the sample.
Solution: Large Collection Area
Solution: Large Area Image Depth Profiles and Selected Area Depth Profiles
Selected Area Depth Profile from area 1 and area 2 (50 x 50 μm) illustrate the reason for large Fe concentration variation often observed in regular SIMS profiles.
SUMMARY
The lateral distribution of Fe in CIGS/steel foil is often observed to be non-uniform. Regular SIMS profile analysis may therefore not provide representative sampling. The use of a large collection area is shown to reduce the location to location variation significantly, providing a more representative sampling of the average Fe concentration in the sample.
Large area SIMS image depth profiles not only provides a large data collection area, but also ion images that show lateral distribution of impurities. Depth profiles can be re-constructed after analysis to provide variation of impurities at different locations.
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