單一來源的油品性質分析可藉由分析儀器例如進紅外線光譜獲得，但是當油品的來源不一時分析儀器所提供的資訊則有相當程度的誤差。有鑑於此，本研究的主要目的是利用氣相層析質譜儀分析鑑定油品的主要組成，並將此一組成分析直接應用於計算汽油的辛烷值。由實驗結果顯示市售汽油的辛烷值可以由約五十個主要的尖峰來預測，其誤差範圍約在0.3%左右。

　　The properties of oil sample could be characterized by using analytical instruments such as near infrared spectrum was well defined in the literature. However, such analysis is satisfactory only in the case of oil composition was not varied from source to source. In practice, the oil sources are quite diversity and decisive influence of the property of oil sample. In these cases the property of oils is not predictable from simple analytical instrument. Accordingly, in this study we were focus on the composition analysis of gasoline samples, part of main components were characterized.The resulting of these composition analyses was used to estimate the octane number of market available gasoline samples.The results indicated that the octane number of each gasoline can be estimated on the basis of composition of 50 major peaks co-identified in the gasoline. The standard error of predicting octane number is often less than 0.3%.

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