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Research and Application of the Fingerprint Method Based on Derivatization Gas Chromatography

Author: WangGuan
Tutor: ZhuZhongLiang
School: Tongji University
Course: Analytical Chemistry
Keywords: Derivatization gas chromatography Trimethylsilyl derivatives Fingerprinting Principal Component Analysis Genetic Algorithms Tobacco products Quality control
CLC: TS47
Type: Master's thesis
Year: 2006
Downloads: 24
Quote: 0
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Abstract


Cigarettes as an important daily fast moving consumer goods, the stability of the product quality is not only the focus of the tobacco production industry, is more closely related to the health of the majority of consumers of tobacco products. This article will be gas chromatography as a basic detection method analysis of finished cigarettes, raw tobacco and cigarette mainstream smoke particulate matter, to study the differences between the different categories of cigarette samples to verify the cigarette quality control methods have been developed and effectiveness. The maps of the various types of gas chromatography extremely complex chemical constituents contained in tobacco products, this paper introduces the concept of fingerprints, use of technology and efficient separation of gas chromatography to obtain tobacco products, gas chromatography fingerprint to characterize the overall nature of tobacco products. In this experiment, mainly through the analysis of polar volatiles sugars in tobacco products and cigarette mainstream smoke condensate, basic experimental principles are adopted trimethylsilylation sugars in tobacco polar non-volatile compounds in the mainstream smoke condensate derivative, to improve these volatile chemicals, in order to achieve gas chromatography analysis, the method used is simple, fast, and suitable for the industrial production of product quality inspection applications. Gas chromatography detected by GC / FID as conventional detection method, combined with the GC / MS qualitative chemical composition of various types of fingerprints. Experiments for the various types of tobacco products by gas chromatography fingerprint data processing method has been created and developed the corresponding software for subsequent analysis, fingerprinting first chromatographic retention time correction, and then using principal component analysis (PCA ) and genetic algorithms (GA) chemometric methods based on gas chromatographic fingerprint data on the differences of the different categories of tobacco products the difference spectroscopy recognition and classification parameters defined by the corresponding method and quantitative description of the differences. The large number of fingerprints on the peak, through genetic algorithm feature selection in order to optimize the results of classification. In this paper, a large number of various types of tobacco products by gas chromatography fingerprint data were analyzed, results that trimethylsilyl derivatization gas chromatography analysis can better reflect the overall nature of the test samples; established gas chromatographic fingerprint processing methods can accurate pattern recognition of the large amounts of data between different categories; developed software is easy to operate, reliable, friendly interface. To sum up, regardless of the specific experimental operations and data processing can basically meet the requirements of product quality control in the production of tobacco industry.

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CLC: > Industrial Technology > Light industry,handicrafts > Tobacco Industry > Product standards and testing
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