A Primary Investigation Of The Application Of Pattern Recognition Technology In The Distinguish Of Complex Samples And Markers Seeking

The dissertation consists of three independent parts.1. Pattern Recognition Technology Combined with Fluorescence to Identification of Gutter OilsThe purpose of this part of the paper was to establish a model to distinguish gutter oils from edible oils based on fluorescence spectrum. The experiment measured the fluorescence emission spectrum of the commercial common edible oils and gutter oils, built a classification model of gutter oils using the principal component analysis-class(PCA-class) method and the characteristic spectral band of gutter oils was obtained by orthogonal partial least-squares discriminant analysis(OPLS-DA).Results showed that the reproducibility of this method was good, cumulative credibility of the model was over 95% and the recognition rate and rejection rate of gutter oils were both 100%,OPLS-DA analysis showed that the range of 450 to 545 nm was the characteristic band of gutter oils. This method could effectively distinguish gutter oils from normal edible oils and could provide a new reference method for the identification of gutter oils.2. Pattern Recognition Combined with GC-MS to Identification of Gutter OilsThe purpose of this part of the paper was to establish a method to distinguish gutter oils and different kinds of edible oils based on the content of unsaponifiables.The experiment measured the chromatography of unsaponifiables in edible oils and gutter oils using GC-MS method. Principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA)was applied to distinguish gutter oil?soybean oil?peanut oil?sesame oil and camellia oil and there corresponding characteristic unsaponifiables were also analysed.Results showed that the reproducibility of this method was good and the method could effectively identify the gutter oils and various kinds of edible oil;the content of delta-vitamin E?Obtusifoliol?Stigmastan-3-ol and Beta-sitosterol in gutter oil decreased and the content ofOctadecan-1-ol rised which could be used as the basis for gutter oil identification;Soybean oil was rich in delta-vitamin E, peanut oil contained only a small amount of cycloartenol,sesame oil was rich in cycloeucalenol,corn oil contained a lot of ergosterol and stigmastanol,camellia oil contained abundant Obtusifoliol,which can be used as characteristics markers of different kinds of edible oil.Experiment proved that GC-MS chromatography of unsaponifiables combined with pattern recognition technology could effectively distinguish gutter oils and common edible oils and thus offer a new feasibility method for the identification of gutter oils.3. Pattern Recognition Combined with GC-MS to Evaluate the Effect of PAMAM to Cell Fatty Acids MetabolismThe purpose of this part of the paper was to investigate the effect of different surface modified polyamide-amine(PAMAM) to fatty acids metabolism in HepG2 cell using GC-MS combined with PCA and OPLS-DA method.Results showed that the different surface modified PAMAM had different effect on fatty acids metabolism in HepG2 cell and the effected target fatty acids and the influence degree were all different:0.5G COONa modified PAMAM could lead to significantly rise in palmitoleic acid level; 3.5G COONa modified PAMAM had no obvious effect on the fatty acid metabolism; 1.0G OH modified PAMAM could let the level of linoleic acid significantly reduced; 4.0G OH modified PAMAM could not only lower the standard of linoleic acid and at the same time could make palmitoleic acid level rise; 0.5G COOCH3 modified PAMAM could make oleic acid level significantly reduced; 3.5G COOCH3 modified PAMAM could significantly increase intracellular palmitoleic acid level and significantly reduce the level of linoleic acid; 0.5G COOH modified PAMAM could significantly decrease the intracellular lignoceric acid, docosanoic acid, oleic acid and linoleic acid levels; 3.5G COOH modified PAMAM could significantly reduce the level of oleic acid and linoleic acid; 1.0G NH2 modified PAMAM had no distinct effect on fatty acid metabolism in HepG2 cell and 4.0G NH2 modified PAMAM could make the level of linoleic acid significantly reduced.