First, the crystallization thermodynamic data and other basic physicochemical data of solution, such as viscosity, density of 7-aca solution and dissociation constants, were measured by experiments.
本文首先实验测定了7 - ACA结晶热力学数据和粘度、密度、电离平衡常数等必要的基本物性数据。
For it has an extremely high spectral resolution, such data has facilities to the physicochemical characteristics mining or subtle recognition of different ground objects.
由于高光谱遥感数据具有非常高的光谱分辨率，因此非常有利于深入挖掘地物的理化特性或精细识别不同的地物。
The chemical structures were (identified) by physicochemical properties and spectral data analysis.
并通过理化数据测定及波谱分析，鉴定化合物结构。
Results: We collected the features and data of characters, microscopic traits, physicochemical reaction and uv spectra of Ramulus Rubi.
结果：积累了悬钩子木的药材性状、显微特征、一般理化反应及紫外光谱线组的特征和数据。
A new software was designed, with which the data of physicochemical experiments could be rapidly processed by a computer.
设计了一种微机快速处理物理化学实验数据的软件。
METHODS the compounds were isolated by acid and alkali treatment and column chromatography, and the structures are identified by physicochemical properties and spectral data.
方法利用酸碱处理及硅胶柱色谱进行分离，通过理化性质和波谱数据鉴定结构。
In order to simplify the synthetical molecular form and link easily to the concatenated data set for calculating molecules' physicochemical properties, a new code scheme was established.
采用了一种简单易行的新编码方案，使合成的分子形式简单，便于链接数据库计算各种性质。
It was identified to be swainsonine by physicochemical properties and spectral data analyses.
经理化常数测定和波谱分析鉴定为苦马豆素。
METHODS the compounds were isolated and purified by various chromatographic techniques and their structures were elucidated by physicochemical properties and spectroscopic data.
方法采用各种色谱技术进行分离纯化，通过化合物理化性质及波谱数据进行结构鉴定。
METHODS The compounds were separated by column chromatography with silica gel and prep-HPLC, whoso structures were elucidated on the basis of spectroscopic data and physicochemical properties.
方法利用硅胶柱色谱、制备高效液相色谱等方法进行分离，根据化合物的光谱数据和理化性质鉴定其结构。
METHODS The compounds were separated by column chromatography with silica gel and prep-HPLC, whoso structures were elucidated on the basis of spectroscopic data and physicochemical properties.
方法利用硅胶柱色谱、制备高效液相色谱等方法进行分离，根据化合物的光谱数据和理化性质鉴定其结构。
应用推荐