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.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2003年第1期24-28,共5页
Chinese Journal of Analytical Chemistry