We applied variant of calibration free laser induced Breakdown Spectroscopy (CF-LIBS) approach for the compositional analysis of standard Gd/Ge/Si alloy and solar cells. The double pulse laser induced plasma was produced on the sample surface and the emission spectra were recorded at optimized interpulse delay and energy ratio. The Plasma temperature, determined using Boltzmann plot, was used to determine the concentration of all species present in a sample. The results are compared with reference values as well as conventional CF-LIBS results, which show that conventional and variant CF-LIBS results are similar and in close agreement to reference values. It is worth mention that the variant CF-LIBS results, but the approach is simpler and faster. Therefore, this approach was applied to three unknown polycrystalline silicon solar cells, which yield Al, C, Ca, Fe, In, Ti, Sb and Sn in the parts per million (ppm). This approach can potentially be applied for real-time trace monitoring in manufacturing processes of photovoltaic devices where conversion efficiency depends strongly on impurities’ concentration.

我们应用了无标定激光诱导击穿光谱（CF-LIBS）方法的变体，用于标准Gd / Ge / Si合金和太阳能电池的成分分析。在样品表面产生双脉冲激光诱导的等离子体，并以最佳的脉冲间延迟和能量比记录发射光谱。使用玻尔兹曼图确定的血浆温度用于确定样品中所有物质的浓度。将结果与参考值以及常规CF-LIBS结果进行比较，这表明常规CF-LIBS和变异CF-LIBS结果相似且与参考值非常一致。值得一提的是，使用了CF-LIBS，但方法更简单，更快捷。因此，该方法被应用于三个未知的多晶硅太阳能电池，产生的Al，C，Ca，Fe，In，Ti，Sb和Sn的含量为百万分之一（ppm）。这种方法可以潜在地应用于光伏设备制造过程中的实时痕迹监控，其中转换效率在很大程度上取决于杂质的浓度。