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应用自行搭建的CCD近红外光谱系统检测苹果的糖酸度。通过Y型光纤采集120个红富士苹果的漫反射光谱,采用偏最小二乘回归(PLSR)建立苹果糖度、酸度的定量预测模型。针对CCD光谱噪声较大的特点,采用S-G平滑、一阶导数、二阶导数对光谱进行预处理。结果表明,S-G平滑后所建模型的效果最好,糖度、酸度的相关系数(r)分别为0.9240、0.8151,标准校正误差(SEC)分别为0.9254、0.0120,标准预测误差(SEP)分别为0.9407、0.0204。本研究说明应用CCD近红外光谱仪,在630~1030nm波段实现对苹果糖度、酸度的无损检测具有可行性。 相似文献
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A new pretreatment method was introduced into DMPK(drug metabolism and pharmacokinetic) studies, which was named MAS(multi-function Impurity Adsorption SPE), ultilizing some special adsorbents to remove the impurities, such as phospholipid. It has a better performance compared to traditional protein precipitation and SPE pretreatment. Combined with LC/MS, MAS can be applied in DMPK as a high throughput and effective pretreatment successfully. 相似文献
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