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Raman and IR spectra belong to the category of the vibrational spectra of the two complementary relationship exists to some extent, but the essential difference in the mechanism of Raman spectra is caused by the effect of molecular scattering of light, infrared The spectrum is generated by molecular absorption of incident light. Recent decades, both obtained as a method of spectral analysis of a wide range of application, and the progressive development of a related spectroscopy detection technology. Laser tweezers Raman spectroscopy, laser Raman tweezers is referred to as an optical technology combined with optical tweezers and micro-Raman spectroscopy, which uses imprisoned with a beam of light to achieve a single suspension cells and stimulate cellular and molecular Raman spectroscopy, eliminate ordinary micro-Raman spectroscopy cells were fixed on a glass slide caused by the adverse effects of signal-to-noise ratio higher spectral graduate material molecular structure useful tool for single cell molecular level of the most popular tools; infrared spectroscopy technology has been developed more mature, with a fast, accurate, non-destructive advantages of infrared spectroscopy is now widely used in Chinese herbal medicine quality qualitative and quantitative analysis. This article focuses on laser Raman tweezers analysis of carotenoid synthesis and infrared spectroscopy the identification applied research in traditional Chinese medicine origin, these two areas, the main contents are as follows: The content of this article is a total of eight chapters. The first chapter, laser Raman spectroscopy and carotenoids overview, a brief introduction to Raman spectroscopy, laser optical tweezers Raman spectroscopy, Raman spectroscopy data processing method, carotenoids overview of the research background at home and abroad. Linear fit using Raman tweezers to optimize the fermentation medium suitable for the generation of red yeast carotenoids, the results show significantly different for the different nitrogen source, a carbon source, red yeast cells to synthesize carotenoids; The aggregate results show that there is a good correlation between the ultraviolet spectroscopy of the obtained data and the Raman peak height data; quantitative analysis of the Raman peak height obtained 10 tryptone yeast extract and glucose are suitable nitrogen and carbon sources. The third chapter, the utilization the Raman tweezers monitoring red yeast cell fermentation synthesis of carotenoids dynamic process reveal carotenoid accumulation rule and synthesis mechanisms at the cellular level, while access to other biological macromolecules such as nucleic acids, lipids information The experimental results show that the synthesis of carotenoids and lipids are mostly concentrated in the cell growth after the index period and the stable period, because in these two periods, the cell growth was inhibited due to a lack of nutrition, at the same time, the trend of the concentration of the nucleic acid is first increase and then decrease, the carotenoid concentration varies with the changes in nucleic acid concentration. Chapter IV, this chapter focus on the study of red yeast pigment, first ultrasonic technique to extract carotenoids, and then using thin-layer chromatography separation of red yeast pigment, and finally using UV-visible spectroscopy and Raman spectroscopy identification of pigments, the results are as follows, thin chromatography method was able to separate red yeast pigment, the method is simple, fast, UV-visible scan and Raman spectroscopy of isolated components, was identified as red yeast cells can synthesize at least three kinds of pigment. One of the p-carotene, the rest of the round Yeast and red yeast red pigment, the UV scan results, B-carotene maximum absorption peak at 450 nm, round Yeast at 496 nm and 525 nm maximum absorption peak of red yeast red pigment absorption maximum of 495 nm, analysis of these types of pigment Raman spectroscopy can be drawn, different pigment molecular structure, C = C Raman peak, red yeast red pigment and round yeast The content of the pigment occupies a larger proportion, in addition, the peak height ratio type, can be used as an indicator of the identification of the type of pigment. Chapter Overview of infrared spectroscopy, outlining the basic principles of infrared spectroscopy, Fourier transform infrared spectroscopy, infrared spectroscopy sample preparation techniques, and infrared spectroscopy in the field of traditional Chinese medicine research background. Chapter VI, infrared spectroscopy combined with principal component analysis model to identify the different Origin medicine Treats, PCA model, six different Origin Cork Fourier transform infrared spectroscopy principal component analysis, results showed that samples in the principal component space in aggregation into six different categories, the basic realization the different Origin Treats identification of, and the coarseness of the sample - the extent reflects the phylogenetic relationships among the samples. In addition, the extraction of principal component analysis load factor, draw six different Origin Treats difference is mainly reflected in the eight kinds of protein, carbohydrates, lipids, alkaloids, the Treats sterols, Cork lactone, Obacunone, Cork keto acid The content of the component type. Chapter VII, chemometrics combination the infrared spectral evaluation Geoherbs Polygonum quality. This chapter examines the establishment of the PCA model, results showed that the three principal components of the cumulative contribution rate of 98%, the samples were gathered in the principal component space into four different categories, the basic realization of different origin Polygonum identify. Extract the load factor of the model, the analysis showed that, 4 Origin Polygonum difference is mainly reflected in the chemical composition of the aromatic compounds, calcium oxalate, phospholipids, glycoproteins, polysaccharides and glycosides; Last SIMCA method of discriminant vesting of the unknown sample , different origin unknown Polygonum sample to determine the accuracy rate of 100%, the identification of the different sources of unknown samples. Therefore, the PCA identification and SIMCA recognition model established in this study is reasonable, with a strong ability to distinguish and identify the method can be used as a quick identification and evaluation of Polygonum. Chapter 8 Conclusions and outlook summed up the Master phase of the study, pointed out the significance of this study and inadequacies, and prospects for future work.
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