Proton NMR Analysis of Octane Number for Motor Gasoline: Part II

1991 ◽  
Vol 45 (10) ◽  
pp. 1679-1683 ◽  
Author(s):  
M. Ichikawa ◽  
N. Nonaka ◽  
I. Takada ◽  
S. Ishimori ◽  
H. Andoh ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Magnetic Resonance ◽  
Octane Number ◽  
Proton Magnetic Resonance ◽  
Proton Nmr ◽  
Nmr Analysis ◽  
Motor Gasoline ◽  
Pattern Recognition Methods ◽  
Pattern Space ◽  
Automobile Gasoline

A method to evaluate the octane number of automobile gasoline by proton magnetic resonance (PMR) has been developed. Twenty-one samples, ranging in octane number from 80 to 100, were produced by preparing different blends of gasoline bases, and the dispersion of each sample in a pattern space was examined by applying the display methods, among various pattern recognition methods, to its PMR spectrum. This report concerns the result of the study, which revealed that the octane number of a given type of automobile gasoline could be visually estimated from its PMR spectrum.

Proton NMR Analysis of Octane Number for Motor Gasoline: Part IV

1992 ◽  
Vol 46 (8) ◽  
pp. 1294-1300 ◽  
Author(s):  
M. Ichikawa ◽  
N. Nonaka ◽  
H. Amano ◽  
I. Takada ◽  
S. Ishimori ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Aromatic Compounds ◽  
Octane Number ◽  
Proton Magnetic Resonance ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Nmr Analysis ◽  
Motor Gasoline ◽  
The Relationship

Software (a program) for predicting the octane number of motor gasoline by proton magnetic resonance (PMR) spectrometry has been formulated. At the same time, a method has been studied to predict the composition of gasoline (in terms of the contents of paraffin, olefin, and aromatic compounds). The formulated program was evaluated by using it to predict the octane numbers of 31 samples of marketed summer gasoline (including 16 regular and 15 premium products), whose octane numbers and compositions were identified according to the ASTM standards. Also, the relationship between the PMR spectrum and gasoline composition was subjected to linear regression analysis by using the 31 samples whose octane numbers were calculated, and the appropriateness of the resultant regression equations was assessed. This report concerns the results of the study in which the octane numbers of the 31 samples were satisfactorily predicted by the formulated program and useful linear regression equations were obtained for the prediction of the composition of gasoline.

Proton NMR Analysis of Octane Number for Motor Gasoline

1991 ◽  
Vol 45 (4) ◽  
pp. 637-640 ◽  
Author(s):  
M. Ichikawa ◽  
N. Nonaka ◽  
H. Amano ◽  
I. Takada ◽  
S. Ishimori
Keyword(s):  
Octane Number ◽  
Proton Nmr ◽  
Nmr Analysis ◽  
Motor Gasoline

Proton NMR Analysis of Octane Number for Motor Gasoline: Part V

1992 ◽  
Vol 46 (10) ◽  
pp. 1548-1551 ◽  
Author(s):  
M. Ichikawa ◽  
N. Nonaka ◽  
H. Amano ◽  
I. Takada ◽  
S. Ishimori ◽  
...  
Keyword(s):  
Linear Regression ◽  
Octane Number ◽  
Proton Magnetic Resonance ◽  
Standard Addition ◽  
Regression Equation ◽  
Methyl Tert Butyl Ether ◽  
Linear Regression Equation ◽  
Addition Method ◽  
Butyl Ether ◽  
Automobile Gasoline

A method to predict the octane number of automobile gasoline containing methyl tert-butyl ether (MTBE) by proton magnetic resonance (PMR) spectrometry was studied. Samples of gasoline whose octane numbers had been identified according to the ASTM standards (commercially available premium gasoline to which MTBE was added at rates of 7 vol % and 14 vol %) were used in this investigation of the effect of MTBE on the octane number. The findings were utilized to introduce a term regarding MTBE into the previously reported linear regression equation for estimating the octane number from the PMR spectrum, and the appropriateness of the linear regression equation was assessed. As a result, the MTBE contents in the samples were determined with satisfactory accuracy by using a standard addition method, and a linear regression equation reflecting the effect of MTBE was obtained. These achievements are reported.

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