Objective:To develop and validate an image analysis method for quantitative analysis ofγ-oryzanol in cold pressed rice bran oil.Methods:TLC-densitometric and TLC-image analysis methods were developed,validated,and us...Objective:To develop and validate an image analysis method for quantitative analysis ofγ-oryzanol in cold pressed rice bran oil.Methods:TLC-densitometric and TLC-image analysis methods were developed,validated,and used for quantitative analysis of γ-oryzanol in cold pressed rice bran oil.The results obtained by these two different quantification methods were compared by paired t-test.Results:Both assays provided good linearity,accuracy,reproducibility and selectivity for determination of γ-oryzanol.Conclusions:The TLC-densitomelric and TLC-image analysis methods providett a similar reproducibility,accuracy and selectivity for the quantitative determination of γ-oryzanol in cold pressed rice bran oil.A statistical comparison of the quantitative determinations of γ-oryzanol in samples did not show any statistically significant difference between TLC-densitometric and TLC-image analysis methods.As both methods were found to be equal,they therefore can be used for the determination of γ-oryzanol in cold pressed rice bran oil.展开更多
A newly developed liquid chromatography-mass spectrometry(LC-MS)method for the analysis of cold pressed rice bran oil(RBO)was established and used to discriminate between RBOs produced from two different cultivars of ...A newly developed liquid chromatography-mass spectrometry(LC-MS)method for the analysis of cold pressed rice bran oil(RBO)was established and used to discriminate between RBOs produced from two different cultivars of major Thai fragrant rice species.The cold pressed RBO was prepared using the screw compression method.The LC-MS data were preprocessed with MZmine 2.10 program before evaluating with principal component analysis using SIMCA 13 software.The LC-MS method was able to detect and quantify several kinds of valuable constituents such as fatty acids,vitamin E,andγ-oryzanol.The chromatographic condition was feasible;short time for analysis and simple method were achieved.From score plot and loading plot of principle component analysis(PCA),two rice cultivar samples were clearly separated,and it was revealed that Khao-Hom-Pathum was more suitable than Khao-Hom-Mali for cold pressed RBO production since it contained high totalγ-oryzanol and less saturated free fatty acids.As with the fixed price of all the rice brans,this information can be used in order to,if possible,preserve the price of rice brans from different cultivars.展开更多
基金Supported by the Research Institute of Rangsit University,Pathum Thani,Thailand(Grant No.73/55)
文摘Objective:To develop and validate an image analysis method for quantitative analysis ofγ-oryzanol in cold pressed rice bran oil.Methods:TLC-densitometric and TLC-image analysis methods were developed,validated,and used for quantitative analysis of γ-oryzanol in cold pressed rice bran oil.The results obtained by these two different quantification methods were compared by paired t-test.Results:Both assays provided good linearity,accuracy,reproducibility and selectivity for determination of γ-oryzanol.Conclusions:The TLC-densitomelric and TLC-image analysis methods providett a similar reproducibility,accuracy and selectivity for the quantitative determination of γ-oryzanol in cold pressed rice bran oil.A statistical comparison of the quantitative determinations of γ-oryzanol in samples did not show any statistically significant difference between TLC-densitometric and TLC-image analysis methods.As both methods were found to be equal,they therefore can be used for the determination of γ-oryzanol in cold pressed rice bran oil.
基金supported by grant from the Research Institute of Rangsit University in 2015
文摘A newly developed liquid chromatography-mass spectrometry(LC-MS)method for the analysis of cold pressed rice bran oil(RBO)was established and used to discriminate between RBOs produced from two different cultivars of major Thai fragrant rice species.The cold pressed RBO was prepared using the screw compression method.The LC-MS data were preprocessed with MZmine 2.10 program before evaluating with principal component analysis using SIMCA 13 software.The LC-MS method was able to detect and quantify several kinds of valuable constituents such as fatty acids,vitamin E,andγ-oryzanol.The chromatographic condition was feasible;short time for analysis and simple method were achieved.From score plot and loading plot of principle component analysis(PCA),two rice cultivar samples were clearly separated,and it was revealed that Khao-Hom-Pathum was more suitable than Khao-Hom-Mali for cold pressed RBO production since it contained high totalγ-oryzanol and less saturated free fatty acids.As with the fixed price of all the rice brans,this information can be used in order to,if possible,preserve the price of rice brans from different cultivars.
