In this paper such minerals as apatite, zircon and biotite from granites were determined and analyzed bysecondary ion mass spectrometry (SIMS) for their isotopic ages, REE composition, trace elements and volatilecompo...In this paper such minerals as apatite, zircon and biotite from granites were determined and analyzed bysecondary ion mass spectrometry (SIMS) for their isotopic ages, REE composition, trace elements and volatilecomponents with an attempt to shed light on the origin and formation environments of the Jinningian granitesin the Yunnan sector of the Kangdian (Xikang- Yunnan) earth's axis. The results show that the apatites,zircons and biotites of different geneses possess different fingerprint characteristics. Some correlations havebeen found between trace elements and volatile components contained in the minerals from granties.展开更多
This work first describes a simple approach for the untargeted profiling of volatile compounds for distinguishing between white duck down (WDD) and white goose down (WGD) based on resolution-optimized GC-IMS combined ...This work first describes a simple approach for the untargeted profiling of volatile compounds for distinguishing between white duck down (WDD) and white goose down (WGD) based on resolution-optimized GC-IMS combined with optimized chemometric techniques, namely PCA. The detection method for down samples was established by using GC-IMS. Meanwhile, the reason of unpleasant odors caused by WDD was explained on the basis of the characteristic volatile compounds identification. GC-IMS fingerprinting can be considered a revolutionary approach for a truly fully automatable, cost-efficient, and in particular highly sensitive method. A total of 22 compounds were successfully separated and identified through GC-IMS method, and the significant differences in volatile compounds were observed in three parts of WDD and WGD samples. The most characteristic volatile compounds of WGD belong to aldehydes, whereas carboxylic acids from WDD were detected generated by autoxidation reaction. Meanwhile, the main reason of unpleasant odor generation was possibly attributed to the high concentration of volatile carboxylic acids of WDD. Therefore, the constructed model presents a simple and efficient method of analysis and serves as a basis for down processing and quality control.展开更多
[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
文摘In this paper such minerals as apatite, zircon and biotite from granites were determined and analyzed bysecondary ion mass spectrometry (SIMS) for their isotopic ages, REE composition, trace elements and volatilecomponents with an attempt to shed light on the origin and formation environments of the Jinningian granitesin the Yunnan sector of the Kangdian (Xikang- Yunnan) earth's axis. The results show that the apatites,zircons and biotites of different geneses possess different fingerprint characteristics. Some correlations havebeen found between trace elements and volatile components contained in the minerals from granties.
文摘This work first describes a simple approach for the untargeted profiling of volatile compounds for distinguishing between white duck down (WDD) and white goose down (WGD) based on resolution-optimized GC-IMS combined with optimized chemometric techniques, namely PCA. The detection method for down samples was established by using GC-IMS. Meanwhile, the reason of unpleasant odors caused by WDD was explained on the basis of the characteristic volatile compounds identification. GC-IMS fingerprinting can be considered a revolutionary approach for a truly fully automatable, cost-efficient, and in particular highly sensitive method. A total of 22 compounds were successfully separated and identified through GC-IMS method, and the significant differences in volatile compounds were observed in three parts of WDD and WGD samples. The most characteristic volatile compounds of WGD belong to aldehydes, whereas carboxylic acids from WDD were detected generated by autoxidation reaction. Meanwhile, the main reason of unpleasant odor generation was possibly attributed to the high concentration of volatile carboxylic acids of WDD. Therefore, the constructed model presents a simple and efficient method of analysis and serves as a basis for down processing and quality control.
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.
