排序方式: 共有19条查询结果,搜索用时 15 毫秒
11.
The chemical components of the essential oils in the barks and leaves of Eucommia ulmoides Oliver were analyzed and compared by chromatograms and mass spectra technique, heuristic evolving latent projections (HELP),
alternative moving window factor analysis (AMWFA) algorithms and normalization method based on the peak areas; the flavones
in the barks and leaves of Eucommia ulmoides Oliver were separated on an ODS column by gradient elution carried out with the flow phase consisting of water, methanol
and phosphoric acid (0.1%), and their contents were quantitatively determined by standard curve method and diode array detection
(DAD) at 362 nm. The results show that 68 and 73 compounds respectively from essential oils of the barks and leaves of Eucommia ulmoides Oliver are identified, and there are 33 mutual compounds among 108 compounds determined. The total contents of these volatile
components of the two samples possess 92.9% and 97.75% of the gross of the relevant essential oils, respectively; the contents
of the rutin, quercetin and kaempferol in the barks and leaves of Eucommia ulmoides Oliver are 0.016 9, 0.003 6, 0.002 1 and 0.064 4, 0.030 2, 0.010 0 mg/g, respectively, and the determination recoveries are
95.2%–106.2%. The comparative analysis shows that for the barks and leaves of Eucommia ulmoides Oliver, there are significant differences in their components of the relevant essential oils and flavones.
Foundation item: Project(20235020) supported by the National Natural Science Foundation of China 相似文献
12.
13.
14.
利用非线性化学指纹图谱技术鉴别评价茶饮料 总被引:4,自引:0,他引:4
通过向稳态体系“溴酸钠-硫酸锰-硫酸-丙酮”中加入不同的茶饮料,获得来自不同产家、不同品种的茶饮料的非线性化学指纹图谱,并对其进行相似度计算。非线性化学指纹图谱的直观信息、定量信息、相似度计算结果都能很好的将冰红茶从其他茶饮料中鉴别出来,且振荡寿命与检测用量有很好的函数关系。通过比较不同掺水量的茶饮料的非线性化学指纹图谱的参数信息,对茶饮料的质量进行评价。非线性化学指纹图谱技术可为茶饮料的鉴别和评价提供一种新的方法。 相似文献
16.
17.
非线性化学指纹图谱在中药研究中的应用 总被引:1,自引:0,他引:1
以Mn2+-H+-BrO3--CH3COCH3和作为耗散物的中药还原活性成分作为测定指纹图谱的基本非线性化学体系,测定了9批中药的非线性化学指纹图谱。结果表明,中药的非线性化学指纹图谱直观特征结合系统相似度可直接用于中药真伪鉴别,利用麻黄指纹图谱诱导时间与成分总含量的关系,初步确定了不同产地麻黄活性成分的相对总含量。 相似文献
18.
以非线性化学指纹图谱技术鉴别啤酒种类。测定了11种啤酒的非线性化学指纹图谱,并通过指纹图谱直观特征及系统相似度模式识别对啤酒品种进行鉴别。结果表明,每种啤酒非线性化学指纹图谱的重现性良好,不同品种啤酒指纹图谱特征的差别仅决定于啤酒成分的种类和含量。参照同一品种啤酒指纹图谱共有模式的系统相似度在95.73%~99.62%之间,参照不同品种啤酒共有模式的系统相似度在52.65%~94.09%之间。品种鉴别准确度≥91.7%,平均准确度达到94.9%。利用非线性化学指纹图谱技术能较准确地鉴别啤酒的品种。该研究为啤酒品种鉴别提供了新的方法和研究思路。 相似文献