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在分光光度法中，常常遇到多种待检测物质共存于同一样品中。为实现混合样品中各种物质的分别测定，通常预先将各物质进行分离，这样不仅增加分析检验手续，而且由于分离过程中的损失和拍污，难免给检验带来较大误差。本文将主成分回归分析[1,2]应用于分光光度法中，成功地进行
In spectrophotometry, often encountered a variety of substances to be tested co-exist in the same sample. In order to achieve the separate determination of various substances in the mixed samples, the substances are usually separated in advance, which not only increases the analysis and inspection procedures, but also brings great errors to the inspection due to the loss and the stains in the separation process. In this paper, the principal component regression analysis [1,2] was applied to spectrophotometry, successfully