Identification of Sulfur Fumigated Chrysanthemi Flos with Electronic Nose Technology / 世界科学技术-中医药现代化

This study was aimed to identify Chrysanthemi Flosbefore and after sulfur fumigation based on its different odour by the electronic nose technology.It was expected to explore a new method for the Chrysanthemi Flos identification according to the odour.The electronic nose technology was used in the detection of peak response values of Chrysanthemi Flos on sensor array.The principal component analysis (PCA) and 10 machine learning (ML) ways were used in the analysis of response values and establishment of optimized identification models.The results showed that there was a significant difference in the odour between sulfur fumigated Chrysanthemi Flos and non-sulfur fumigated ones.The identification models were successful with high correct judge rate by PCA and 6 ML ways including BF Tree,J48 and Random Tree.It was concluded that the electronic nose technology can be used for the accurate identification of sulfur fumigated Chrysanthemi Flos and non-sulfur fumigated ones.The electronic nose technology combined with multiple ML methods can be introduced in the quality evaluation of Chrysanthemi Flos.It provided more ideas for the application of electronic nose in data mining for traditional Chinese medicine (TCM) studies.

Quality and quantity classification models of Fructus Amomi applying electronic nose with multiple mathematical statistics methods / 国际药学研究杂志

Objective Fructus Amomi(Sharen) is derived from the dry ripe fruit of Amomum villosum Lour., A.villosum Lour. var. xanthioides T.L. Wu et Senjen and A.longiligulate T.L.Wu, which is widely utilized for its clinic effects on digestive system. However, Fructus Amomi from different species and habitats, possessing different quality, is difficult to identify. In this study, we aim to develop a simple, rapid and reliable method for authentication of Fructus Amomi. Methods Twenty-five batches of samples of Fructus Amomi were collected and electronic nose was introduced into analyzing their odor with multiple mathematical statistics methods. Na?ve bayes network (NBN), radical basis function (RBF) and random forest (RF) were applied to establish different classifiers while BestFirst+CfsSubsetEval (BC) was used to screen the attributes for searching sensor array with higher contributions. Results Firstly, after attribute-screening via BC, the established discriminative models via NBN, RBF and RF could successfully identify genuine and non-genuine samples, presenting correct judging ratios of 78% and 84% through ten-fold cross validation and external test set validation, respectively. Besides, quantity predictive models were constructed as well. In case of content of bornyl acetate, one of the effective components in Fructus Amomi, values were higher than 3.5 mg/g and lower than 1.8 mg/g with sensor response of 0.04 and 0.03, respectively. Conclusion In this paper, quality discriminative model and quantity predictive model of Fructus Amomi were established via electronic nose and multiple mathematical statistics methods. It indicates that electronic nose could be a promising method for quality evaluation of Chinese material medica.

SIMPP analysis on self-recognized learning effectiveness of students / 中华医学教育探索杂志

College students' self cognition of the learning effectiveness influences their learning behavior greatly. Focusing on college students' self cognition of their learning effectiveness, and then standardizing their learning behavior is one of the important work of educators in colleges. Therefore this paper has designed the questionnaire of the influencing factors of learning effectiveness self cog-nition, used SIMPP analysis method to analyze it, and set up the relation model. The analysis shows that college students' self cognition of learning effectiveness is influenced not only by students' dili-gence level and the recognition degree of specialized subject, but also by the factors such as the attitude when you get the bad results. The result provides data basis and scientific basis for future practice and relevant research for educators in colleges.

SIMPP analysis on class attendance of students / 中华医学教育探索杂志

In recent years, lower and lower class attendance has plagued the quality of uni-versity teaching. To solve this problem, this study conducted a questionnaire survey in accordance with the concepts of the Education Reform microscopic systems engineering and the method of SIMPP. The results showed that factors affecting student classroom attendance included two aspects: the sub-jective and objective factors. Indicators related to the subjective factors were: the personal attitude when faced with failure exams, the personal learning interest and personal grasp of the main source of knowledge. Indicators related to the objective factors were: school and teachers. Also, this study gave some suggestions on how to improve students' classroom attendance to provide data basis and refer-ence for further study on class attendance.

Content Determination of Trigonelline in Wild and Cultivated Himalaica Mirabilis of Different Districts / 中国中医药信息杂志

Objective To compare differences and similarities of the content of trigonelline in Himalaica mirabilis of either wild or cultivated materials from different places. Methods An HPLC method was established to determine the content of trigonelline in Himalaica mirabilis. ZORBAX XDB-CN column (4.6 mm×250 mm, 5 μm) was used, with mobile phase of acetonitrile-0.03%acetic acid (85∶15), flow rate of 0.8 mL/min, detection wavelength of 265 nm, determination wavelength of 360 nm, and column temperature of 30 ℃. Results Regression calculation was made on peak area with the reference solution concentration, and then got the regression equation A=23.409C-26.398, r=0.999 8. Trigonelline showed good linear relation with peak area among the range of 2.004-200.400 μg/mL. The average recovery of trigonelline was 99.57%, RSD=1.11%. Conclusion There was no significant difference in the content of trigonelline of either wild or cultivated materials from different places. This study laid the foundation of application of the cultivated Himalaica mirabilis.

Methodological Research on TLC Identification of Radix Mirabilis himalaica / 世界科学技术-中医药现代化

This study was aimed to establish the TLC identification method of Radix Mirab ilis himalaic a. The β-sitosterol and daucosterol were used as the reference substances. The single-factor test was used. A variety of factors which affected TLC were systematically investigated to filter out the best TLC conditions for identification of different batches of medicines. The results showed that the best TLC conditions were as follows: silica gel G plates, extraction solvent (methanol), reagent (5% sulfuric acid in ethanol), extraction method (ultrasonic extraction with methanol), ex-tracted time (30 min), the agent (petroleum ether-ethyl acetate-acetone (5:2:1)) and sample volume (6 μL). It was concluded that the method, which had high separation degree, was reproducible and simple. It can be used as the quality control of Radix Mirab ilis himalaic a.