Quantitative similarity assessment of non-linear chemical fingerprint of traditional Chinese medicine by similarity system theory

The similarities of the non-linear chemical (NLC) fingerprints of Radix Glycyrrhizaes from four producing areas and eight other traditional Chinese medicines (TCMs) were calculated, using a systemic similarity calculation method proposed and three other main calculation ones (Euclidean distance, correlation coefficient and included angle cosine). All of the correlation coefficient similarities of different TCMs are higher than 0.952, and the included angle cosines are all higher than 0.962. So, both the correlation coefficient and included angle cosine similarities are unable to be used as the criteria for quantitatively evaluating the similarities of NLC fingerprints of TCMs. Although all of the Euclidean distance similarities of Berry Liquorices from four producing areas are less than 73, those of the other eight TCMs are all more than 180. The Euclidean distance cannot reflect the relative magnitudes of the feature differences in the NLC fingerprints very correctly. The systemic similarity method is the best among the four ones. All of the systemic similarities of Berry Liquorices from the four producing areas are higher than 0.962, while those of the other eight TCMs are all lower than 0.805, and the systemic similarity can reflect the differences between samples most faithfully, and can be used as a quantitative one evaluating the similarities of NLC fingerprints of TCMs, by which TCM could be distinguished and evaluated quickly, simply and exactly.     

利用非线性化学指纹图谱技术鉴别评价茶饮料

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。     

制备绿色润滑剂三羟甲基丙烷酯的催化酯化新工艺

以油酸和三羟甲基丙烷(TMP)为原料,用SnCl2.2H2O作催化剂,通过减压酯化的方法合成了三羟甲基丙烷油酸酯。反应的优化条件如下:n(油酸)n∶(TMP)=3.11∶,催化剂用量4%,反应温度170℃,反应时间4h,真空度0.09MPa。优化条件下TMP的酯化率达到94%。产物结构经IR光谱证实。     

利用非线性化学指纹图谱技术鉴别啤酒生产中的大麦品种

利用非线性化学指纹图谱技术对两个不同品种大麦的快速准确鉴别评价进行研究.结果表明,利用非线性化学指纹图谱的直观信息、可量化信息以及系统相似度计算结果,均能很好地将不同大麦品种鉴别出来.非线性化学指纹图谱技术对啤酒行业的大麦品种鉴别提供了一种很好的方法.     

用非线性电化学指纹图谱技术鉴别啤酒品种

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。     

厄贝沙坦的合成

以5-(4'-甲基联苯-2-基)-1-三苯甲基-1H-四氮唑为起始原料,经溴化,烃化反应,脱保护基,中和反应,得到目标产物。经过工艺优化,最终得到的厄贝沙坦总收率为43.2%,纯度达到99.9%。     

非线性化学指纹图谱在中药研究中的应用

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。