Biomedical subjects

Su-qin Sun

Publications and source records attributed to Su-qin Sun.

At least 19 recordsLinked to original sources

PubMed2006

[Determination of geographical origins of Chinese medical herbs by NIR and pattern recognition].

Geographical origin of medical herbs is an important factor of the quality of many traditional Chinese herbal medicines. The objective of the present study is to investigate whether NIR spectroscopy coupled with pattern recognition techniques could effectively discriminate geographical origins of medical herbs. Nearest neighbor method (NNM) and a SVM-based multiclass classifier were employed to discriminate 269 Angelicae Dahuricae Radix (ADR) samples from 4 provinces and 380 Salviae Miltiorrhizae Radix (SMR) samples from 6 provinces in China. The multiclass classifier achieves leave-one-out cross-validation accuracy of 99% for (ADR) and 95% (SMR). This classification scheme can be a highly accurate approach to the rapid and nondestructive discrimination of medical herbs of different origins.

China↗

PubMed2006

[Analysis and discrimination of infant powdered milk via FTIR spectroscopy].

Six kinds of infant powdered milk were identified by Fourier transform infrared spectra (FTIR) and their corresponding second derivative infrared spectra. The main nutritious components such as lipid (1,747, 2,854 and 2,926 cm(-1)), protein (1,658 and 1,540 cm(-1)), and carbohydrate(1,200-900 cm(-1)) of had distinct fingerprint characteristics of FTIR spectra. Maltodextrin, sucrose and lactose also had obvious spectral characteristics, which changed with different added content. For the samples from the same factory but with different sorts, there was some dissimilarity in the relative intensities of infrared absorption peaks due to the difference in fat, protein and carbohydrate. For the samples of the same sort but from different factories, there are certain similarities in the IR spectra, however, the second derivative infrared spectra present different fingerprint characteristics. This analytical method is fast and direct for evaluating the quality of infant powdered milk.

Carbohydrates↗

PubMed2005

Study on Angelica and its different extracts by Fourier transform infrared spectroscopy and two-dimensional correlation IR spectroscopy.

In order to develop a rapid and effective analysis method for studying integrally the main constituents in the medicinal materials and their extracts, discriminating the extracts from different extraction process, comparing the categories of chemical constituents in the different extracts and monitoring the qualities of medicinal materials, we applied Fourier transform infrared spectroscopy (FT-IR) associated with second derivative infrared spectroscopy and two-dimensional correlation infrared spectroscopy (2D-IR) to study the main constituents in traditional Chinese medicine Angelica and its different extracts (extracted by petroleum ether, ethanol and water in turn). The findings indicated that FT-IR spectrum can provide many holistic variation rules of chemical constituents. Use of the macroscopical fingerprint characters of FT-IR and 2D-IR spectrum can not only identify the main chemical constituents in medicinal materials and their different extracts, but also compare the components differences among the similar samples. This analytical method is highly rapid, effective, visual and accurate for pharmaceutical research.

Alkanes↗

PubMed2005

[Use of FTIR and pattern recognition to determine geographical origins of Chinese medical herbs].

Geographical origin of medical herbs is an important factor of the quality of many traditional Chinese herbal medicines. The objective of this study is to investigate whether FTIR spectroscopy coupled with pattern recognition techniques could effectively discriminate geographical origins of medical herbs. Nearest neighbor method (NNM) and a SVM-based multiclass classifier were employed to discriminate 269 angelicae dahuricae radix (ADR) samples from 4 provinces in China and 380 salviae miltiorrhizae radix (SMR) samples from 6 provinces. A leave-one-out cross-validation accuracy of 99% was achieved by the multiclass classifier. The study shows this classification scheme can be a highly accurate approach for the discrimination of medical herbs of different origins.

Algorithms↗

PubMed2004

[Comparison on ingredients between cultured cell and cultivated Saffron pistils].

OBJECTIVE: To compare the differences of active ingredients between tissue cultured cells and cultivated saffron pistils. METHOD: The experiment was carried out by the Fourier transform infrared spectroscopy (FTIR) spectra and high performance liquid chromatography (HPLC). RESULT: The data indicated that the species and contents active ingredients in saffron pistils from different places were different. The species of active ingredients in tissue cultured cells are less than those in cultivated saffron pistils. However, the quantity of crocin A, which showed good anticancer effect, is 2-3 times more than that in cultivated saffron pistils. CONCLUSION: The active ingredients of the tissue cultured cells are similar to those of saffron pistils, but their contents are different. Therefore, the tissue cultured cells can only be the part-substitutes of cultivated saffron pistils.

Carotenoids↗

PubMed2004

[Study on the identification of dangguitou and dangguiwei by two-dimensional infrared correlation spectroscopy].

Fourier transform infrared spectroscopy (FTIR) combined with two-dimensional correlation spectroscopy was used to identify the different parts of Danggui in this paper. Guitou and Guiwei are two parts of the same officinal plant, and similar to each other in normal. FTIR spectra revealed the comparabilities of these two parts in herbal characters, organizing structure and alkaloid components. However, variance in amino acids and naphtha contents, which is aroused by the different parts of the angelica, could be identified easily and clearly in 2D FTIR spectra. Thus the fast and accurate property of 2D FTIR spectroscopy makes it a powerful and new approach to evaluating the medicinal herbs impersonally.

Drug Stability↗

PubMed2004

[A rapid and nondestructive analysis of red wines of different manufacturers].

Alcohol and sugar are two main components in wine. We applied ATR Fourier Transform Infrared (FTIR) spectra and second derivative spectra to analyze the alcoholicity and content of sugar of red wines produced by different manufacturers for the first time. For wines with less sugar, the intensity of absorption peaks assigned to C-O bond at 1120-1000 cm(-1) becomes stronger when the alcoholicity is higher. For wines with more sugar, we can confirm the content of sugar by the intensity of absorption peaks and the number of peaks during the range from 1200 to 830 cm(-1), which includes many the characteristic absorptions of sugar. FTIR spectra not only can show clearly the relationship between the intensity of peaks and content of alcohol and sugar, but also are so rapid and convenient that it can be used to analyse samples directly.

Alcoholic Beverages↗

PubMed2004

[Study on the identification of standard and false BanXia by two-dimensional infrared correlation spectroscopy].

Standard BanXia (Pinellia temata (Thumb.) Breit) and false Shui BanXia (Typhonium flagelliforme (Lodd.) Blume) were identified fast and nondestructively by Fourier Transform Infrared Spectroscopy (FTIR) combined with two-dimensional correlation spectroscopy (2D) in this paper. The two kinds of BanXia wree similar to each other in one-dimensional IR spectra but quite different in 2D FTIR spectra. In the range between 1 220 cm(-1) and 1700 cm(-1), one strong autopeak was aroused by BanXia around 1410 cm(-1) in synchronous spectrum, whereas three autopeaks not only at 1460 cm(-1) but also at 1540 cm(-1) and 1680 cm(-1) aroused by Shui BanXia. Also in the range between 940 cm(-1) and 1220 cm(-1), three autopeaks were shown at 980, 1080 and 1150 cm(-1) in synchronous spectrum of BanXia, but only two autopeaks at 1080 and 1150 cm(-1) in synchronous spectrum of Shui BanXia. It is proved that the 2D FTIR could serve in distinguishing standard and false medicinal herbs due to its unique advantages such as enhanced resolution and increased identification ability. Therefore, the rapidity and accuracy of 2D FTIR spectroscopy make it a powerful and new approach to evaluating the medicinal herbs.

Binding Sites↗

PubMed2004

[A rapid method for identification of genus lycium by FTIR spectroscopy].

In this article, a method of using Fourier-transform infrared spectroscopy (FTIR) to identify 7 species and 3 variations of genus lycium (Gouqi) in China is described. This method is based on the additive IR absorptions of the chemical components and the differences of their relative contents in various Gouqi. These differences are reflected in the FTIR spectra. The method provides a novel fingerprinting technique for the identification and differentiation of traditional Chinese medicine. Such technique can serve as a rapid, simple, reliable and non-destructive analytical method for Gouqi as a Chinese material medication.

China↗

PubMed2004

[Study on the rapid and nondestructive identification of TCM formula particles by FTIR].

Formula particles made by Traditional Chinese Medicines (TCM) were studied systematically via Fourier Transform Infrared Spectroscopy (FTIR) in this paper. The products quality of different pharmaceutical factories (Guangdong Yifang, Jiangyin Tianjiang, Sanjiu Yiyao, Hongkong Purapharm) could be revealed directly in the FTIR spectra. Also the spectra of different batch numbers (same factory), particles before and after processing, and particles with different processing methods were studied. It is proved that FTIR is an effective, fast and advanced method to evaluate the production qualities.

Drugs, Chinese Herbal↗

PubMed2004

[Wavelet denoising and optimization of two-dimensional correlation IR spectroscopy].

Wavelet analysis and wavelet denoising was applied to analyse the data of two dimensional correlation IR spectroscopy of traditional Chinese medicine for the first time in this article. The results showed that, after denoising, the authors can decrease the interference to the synchronous spectra of two dimensional correlation IR spectroscopy effectively, and tone up the signal peaks and separate the peaks which overlap together before denoising. In this way, the authors can not only improve the spectral revolution, but also get more spectral informations.

English Abstract↗

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↗