[Objectives] To study characteristic fingerprint spectra of fruits( its stones were removed) and leaves of Prunus mume collected at various altitudes in different regions of Jinchuan County,the Aba Tibetan and Qiang A...[Objectives] To study characteristic fingerprint spectra of fruits( its stones were removed) and leaves of Prunus mume collected at various altitudes in different regions of Jinchuan County,the Aba Tibetan and Qiang Autonomous Prefecture,Sichuan Province,China in different months by using Ultra Performance Liquid Chromatography( UPLC).[Methods]The evaluation system of similarity of chromatographic fingerprint spectra of traditional Chinese medicine and SPSS19. 0 were used to assess their similarity and to establish the reasonable reliable common model of chromatographic fingerprints,and the quality of the medicinal materials was evaluated.[Results] Seen from the fingerprint spectra of fruits( its stones were removed) and leaves of P. mume collected at different altitudes in various months,there were 15 common peaks in the fingerprint spectra of the fruits( its stones were removed),and the similarity of the 28 samples was higher than 0. 900,showing that there were small differences between the samples of the fruits( its stones were removed) in chemical components; there were 10 common peaks in the fingerprint spectra of the leaves,and the similarity of the 28 samples was also higher than 0. 900,indicating that there were also small differences between the samples of the leaves in chemical components.[Conclusions] The method of using fingerprint spectra to control the quality of fruits and leaves of P. mume was simple and stable and had strong specificity and good repeatability.展开更多
目的构建果胶精油联产工艺获得的橙皮精油的指纹图谱,并进行成分分析。方法通过气相色谱-质谱法采集20批次橙皮精油样品的总离子流图(total ions current,TIC),运用“中药色谱指纹图谱相似度评价系统(2012版)”寻找共有峰并建立对照指...目的构建果胶精油联产工艺获得的橙皮精油的指纹图谱,并进行成分分析。方法通过气相色谱-质谱法采集20批次橙皮精油样品的总离子流图(total ions current,TIC),运用“中药色谱指纹图谱相似度评价系统(2012版)”寻找共有峰并建立对照指纹图谱,采用美国国家标准与技术研究院(National Institute of Standards and Technology,NIST)谱库检索结合保留指数技术对共有峰进行成分鉴定,运用SPSS 29.0软件对共有峰进行主成分分析。结果指纹图谱的精密度、重复性和稳定性等方法学考察符合要求,所有样品TIC图相似度均大于0.998,提炼出9个共有峰,经过质谱鉴定,在共有峰中,D-柠檬烯相对含量最高,占82.77%,其次为月桂烯、烩烯、右旋α-蒎烯等,依次占比8.79%、3.62%、3.27%;经主成分分析,前两个主成分因子的累积方差贡献率为67.4%,微量成分烩烯和3-蒈烯对主成分因子的贡献最大。结论对由果胶精油联产工艺获得的橙皮精油建立了气相色谱-质谱指纹图谱,探明其共性化合物成分及影响力,为其质量控制提供了科学依据。展开更多
We have found some fluorescence characteristics of fossil fuels based on the contour maps of the three dimensional fluorescence spectra of their non quenching samples. The common fluorescence characteristic is t...We have found some fluorescence characteristics of fossil fuels based on the contour maps of the three dimensional fluorescence spectra of their non quenching samples. The common fluorescence characteristic is that the main peaks of various fossil fuels are located in the vicinity of excitation/emission wavelength pair 228nm/340nm.The diversity of fluorescence characteristics can be represented with several indexes α,K,F and R ,and these indexes provide measurable parameters for division of fluorescence fingerprints of fossil fuels. The fluorescence fingerprints of fossil fuels can be divided into five models named O,B,Q,P and G that are corresponding to condensate oil, light oil, heavy oil, coal and natural gas, respectively. The technique has a potential application in study of environment pollution on crude oil and geochemical exploration of fossil fuels.展开更多
基金Supported by 2014 Sichuan Science and Technology Support Plan Program(2014SZ0131)
文摘[Objectives] To study characteristic fingerprint spectra of fruits( its stones were removed) and leaves of Prunus mume collected at various altitudes in different regions of Jinchuan County,the Aba Tibetan and Qiang Autonomous Prefecture,Sichuan Province,China in different months by using Ultra Performance Liquid Chromatography( UPLC).[Methods]The evaluation system of similarity of chromatographic fingerprint spectra of traditional Chinese medicine and SPSS19. 0 were used to assess their similarity and to establish the reasonable reliable common model of chromatographic fingerprints,and the quality of the medicinal materials was evaluated.[Results] Seen from the fingerprint spectra of fruits( its stones were removed) and leaves of P. mume collected at different altitudes in various months,there were 15 common peaks in the fingerprint spectra of the fruits( its stones were removed),and the similarity of the 28 samples was higher than 0. 900,showing that there were small differences between the samples of the fruits( its stones were removed) in chemical components; there were 10 common peaks in the fingerprint spectra of the leaves,and the similarity of the 28 samples was also higher than 0. 900,indicating that there were also small differences between the samples of the leaves in chemical components.[Conclusions] The method of using fingerprint spectra to control the quality of fruits and leaves of P. mume was simple and stable and had strong specificity and good repeatability.
文摘目的构建果胶精油联产工艺获得的橙皮精油的指纹图谱,并进行成分分析。方法通过气相色谱-质谱法采集20批次橙皮精油样品的总离子流图(total ions current,TIC),运用“中药色谱指纹图谱相似度评价系统(2012版)”寻找共有峰并建立对照指纹图谱,采用美国国家标准与技术研究院(National Institute of Standards and Technology,NIST)谱库检索结合保留指数技术对共有峰进行成分鉴定,运用SPSS 29.0软件对共有峰进行主成分分析。结果指纹图谱的精密度、重复性和稳定性等方法学考察符合要求,所有样品TIC图相似度均大于0.998,提炼出9个共有峰,经过质谱鉴定,在共有峰中,D-柠檬烯相对含量最高,占82.77%,其次为月桂烯、烩烯、右旋α-蒎烯等,依次占比8.79%、3.62%、3.27%;经主成分分析,前两个主成分因子的累积方差贡献率为67.4%,微量成分烩烯和3-蒈烯对主成分因子的贡献最大。结论对由果胶精油联产工艺获得的橙皮精油建立了气相色谱-质谱指纹图谱,探明其共性化合物成分及影响力,为其质量控制提供了科学依据。
文摘We have found some fluorescence characteristics of fossil fuels based on the contour maps of the three dimensional fluorescence spectra of their non quenching samples. The common fluorescence characteristic is that the main peaks of various fossil fuels are located in the vicinity of excitation/emission wavelength pair 228nm/340nm.The diversity of fluorescence characteristics can be represented with several indexes α,K,F and R ,and these indexes provide measurable parameters for division of fluorescence fingerprints of fossil fuels. The fluorescence fingerprints of fossil fuels can be divided into five models named O,B,Q,P and G that are corresponding to condensate oil, light oil, heavy oil, coal and natural gas, respectively. The technique has a potential application in study of environment pollution on crude oil and geochemical exploration of fossil fuels.
