反射定标板污染对典型月球矿物定量分析影响的研究

悬浮月尘存在污染月表就位光谱仪反射定标板的可能。文中工作模拟并分析了近红外光谱仪反射定标板在无污染、受轻度和重度污染情况下对模拟月壤矿物混合物光谱指纹特征及定量分析模型预测精确度的影响。结果表明：以受污定标板为参比的月壤矿物混合物反射光谱在反射率和指纹特征上均异于无污染样品，且污染越重差异越大；用无污染光谱数据建立的偏最小二乘(PLS)定量分析模型，预测受污样品时其预测精确度显著降低；采用受污后光谱数据重建PLS模型会在一定程度上能提高受污样品的预测准确度。该研究和获得的结论，在星表光学载荷的设计、数据校正以及定量分析模型预测能力评估等方面具有一定的指导意义。

Effect of reflectance standard contaminations on quantitative analysis of typical lunar minerals

Lunar dust contaminant is one of primarily influential factors on the working status of in situ spectrometer on lunar surface. In this work, the influences on the accuracy of quantitative analysis and the NIR reflectance fingerprints of typical lunar mineral mixtures (i.e., orthopyroxene, labradorite, ilmenite and olivine) were analyzed by using different contamination levels of reflectance standards (i.e. pollution free, slight pollution, heavy pollution). Significant differences in fingerprints were observed from reflectance spectra of 15 samples which were recorded using the pollution free and various pollution levels of reflectance standards, respectively. More differences were found with higher pollution levels of reflectance standards. The prediction precisions were decreased by using PLS model based on pollution free samples to predict the contaminated ones. Instead, the prediction precisions were increased by using the PLS model based on contaminated samples to predict the ones at same pollution level. This work shows that the contamination of reflectance standard is the key influential factor on the prediction precision of quantitative analysis. Our results have scientific significance for in situ planetary load design, data rectification and assessment of model predictive ability.