Biomedical subjects

Su-qin Sun

Publications and source records attributed to Su-qin Sun.

8 recordsLinked to original sources

PubMed2003

[Quick identification of scullcaps in different geographical origins using clustering analysis method and infrared fingerprint spectra].

Based on the infrared fingerprint spectra, scullcap samples from 15 geographical origins were clustered into 6 classes with principal component analysis. The classification was related to their geographical origins and weather. In the same class, chemical components of scullcaps are similar to each other, which can be considered as the criterion of evaluating the quality of scullcaps. 43 geographical origins were predicted with radial basis function, which was demonstrated to be a powerful ANN method in discrimination. The classes of scullcaps can be distinguished by the method. The method can be used to class and identify geographical origins of scullcaps. It is one of the methods in the quality control of traditional Chinese medicines.

Cluster Analysis↗

PubMed2003

[FTIR and classification study on gouqi from different cultural areas].

Gouqi, a commonly used traditional Chinese medicine, was studied by Fourier transform infrared (FTIR) spectroscopy in this paper. The combination of FTIR with mathematic method was used for the first time to classify the Gouqi from different cultural areas. It can be seen that the Gouqi samples from Ningxia Yuxi, Ningxia Zhongning and Neimenggu Tuoketuoqi could be successfully classified by soft independent modeling of class analogy (SIMCA). As having the fast and accurate characters, FTIR provides a new way to evaluate the origin of the Chinese medicines impersonally based on the traditional methods.

Geography↗

PubMed2003

[Novel application of FTIR in medical herb chemotaxonomy].

Typical medical plants in Araliaceae, Campanulaceae, Magnoliaceae, Lauraceae, Leguminosae, Berberidaceae, Pteridophyta, etc. were studied with FTIR for the first time, and the similarities and differences within each familiar were also pointed out. Furthermore the differences in spectra of samples from different parts or collected at different time on the same plant were also discussed. The characteristic radicals of the mainly effective components in plants were identified, and the primary peaks were deciphered. It was considered that FTIR could become a rapid, reliable, impersonal and effective method in chemotaxonomy as a supplement of morphologic plant taxonomy.

Araliaceae↗

PubMed2003

[FTIR and classification study on trueborn tuber dioscoreae samples].

To identify the origin of tuber dioscoreae, 45 samples were studied by soft independent modeling of class analogy (SIMCA) in this paper. The combination of Fourier transform infrared spectroscopy (FTIR) with mathematic method was used to classify the trueborn and non-trueborn samples. The samples were chosen randomly as modeling group and predicting group. The correctness of classification was 70%. This approach was proved to be a reliable and practicable method for trueborn quality analysis of tuber dioscoreae.

Dioscorea↗

PubMed2003

[FTIR study on the hypertrophicscar and normal skin tissues].

40 cases of hypertrophicscar (HS) tissues and corresponding normal skin tissues were studied by FTIR technique, and the results showed that all of the HS and normal tissues can be classified into three kinds. Furthermore, the absorption bands of biomacromolecule in collagen, protein, nucleic acid and lipid of hypertrophicscar are stronger than those of normal tissues. But there is no significant difference in A1,063/A1,548 between HS and normal tissues. It is suggested that the cells of HS could still be normally growing and should not be scathed in the treatment process.

Cicatrix, Hypertrophic↗

PubMed2002

[Recognition of three classes of skullcaps by FTIR spectroscopy combined with artificial neural networks].

In order to recognition of three classes of skullcaps (cultivated, wild Scutellaria baicalensis Georgi and Scutellaria viscidula Bge) three kinds of models of artificial neural networks (ANN), nonlinear-linear, linear-linear and nonlinear-nonlinear model, were used combined with their infrared spectra. Skullcaps samples were collected by Fourier Transform Infrared (FTIR) spectra. 42 samples were gathered as a train set, and 34 samples as a test set, then their supervision trains were performed using three models each. When the summation of error square of train target was selected as 0.01, the correct rate for recognition of three classes of skullcaps using each ANN was 100% for the train set, but was different for the test set, which depended on the number of node in hidden layer, S1. It was found that with the increase of S1, the correct rate would decrease oppositely. This may be caused by the high degree of the non-linearity of the networks, so that the models of networks were not fit for the train of this kind of sample set. When using linear-linear model of ANN varied with S1 in some extent, the correct rate was generally about 85%. Recognizability obtained using nonlinear-linear model of ANN was the best. Its correct rate of recognition was > 97% when S1 = 3, and so this method can be used to recognize three of skullcaps simply, rapidly, and accurately.

Apigenin↗

PubMed2002

[A rapid method for the identification of untreated Chinese herbs by FT-Raman spectrometry].

In this paper, two groups of Chinese herbs are investigated, one includes four species of rhubarb in which only one is used to treat against diseases and illnesses as Traditional Chinese Medicine, the other group is a common anemarrhena rhizome, it is found to mix with different materials in it. Both of them are directly identified by means of Fourier transform Raman spectroscopy for the first time. The tiny, delicate varied chemical components of different raw Chinese herbs lead to different characters in vibration frequency of Raman functional groups. It is found that the vibration frequency variance follows a certain specific regularity. The method is more precise and quick than traditional approaches. What is more, it will not damage samples.

Anemarrhena↗

PubMed2002

[A rapid method for detecting seven kinds of American ginseng tea bags by FTIR spectroscopy].

A rapid and non-destructive method, was used to identify seven commercial American Ginseng Tea bags by Fourier-transform infrared spectroscopy (FTIR) in this paper. It could be seen from the results, that each sample has its own characteristic infrared spectrum. Also, the seven tea bags could be divided into two groups: one is made from pure Ginseng powders, and the other is made by Ginseng extractives and additives. The information of additives used by factories could be identified by IR spectra. For example, some factories use glucose, and the others use sucrose as the additives. Furthermore, the quality of the tea bags was identified by the intensity ratio of Ginsengs and additives. In HPLC, the total saponin in tea bags made from Ginseng powders is 4 times higher than that made by Ginseng extractives. Therefore, HPLC analysis gave the same result with FTIR. It is proved that FTIR is a very fast, simple and reliable method to identify Chinese medicine.

Ginsenosides↗