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作 者:杜国华[1] 杨海鹰[2] 顾洁[2] 蔺玉贵[2]
机构地区:[1]北京石油化工学院应用化学系,北京102617 [2]石油化工科学研究院,北京100083
出 处:《分析化学》2003年第1期24-28,共5页Chinese Journal of Analytical Chemistry
摘 要:分析了各种工艺的重油样品近 30 0种 ,通过各样品的薄层色谱图提取了谱图识别的特征变量 ,实现了由TLC FID谱图识别样品类型的目的 ,并采用偏最小二乘方法将谱图数据特征与洗脱色谱法 (elutingchromatography ,简称EC[2 ] 法 )进行了关联 ,从而用于重油样品的烃族组成分析 ,预测结果与EC法相符。About 300 heavy oil samples from various petroleum processing were analyzed by thin layer chromatography/flame ionization detection (TLC/FID) technique. The characteristic variants of recognizing samples from their TLC/FID chromatograms were abstracted, which were used to correlate with the results from the eluting chromatography (EC) by partial least squares (PLS) method. A suitable recognition and determination method was proposed based on those quantitative parameters and PLS. The results obtained by this method were compared with those from EC.
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