Analysis on medication regularity of Chinese patent medicines containing Scutellaria baicalensis

2014 ◽  
Keyword(s):  
Scutellaria Baicalensis ◽  
Patent Medicines ◽  
Chinese Patent

A Simple and Sensitive Dispersive Micro-Solid-Phase Extraction Coupled with High-Performance Liquid Chromatography for Quantification of Honokiol and Magnolol in Complex Matrices

2020 ◽  
Vol 103 (5) ◽  
pp. 1406-1411
Author(s):  
Chu Chu ◽  
Jing Li ◽  
Shan Wang ◽  
Lvnan Weng ◽  
Luyi Jiang ◽  
...  
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Solid Phase Extraction ◽  
High Performance ◽  
Solid Phase ◽  
Water Soluble ◽  
Phase Extraction ◽  
Patent Medicines ◽  
Chinese Patent

Abstract Background Honokiol and magnolol were considered as markers for the analysis of Cortex Magnoliae Officinalis, its related Chinese Patent Medicines and their metabolites. However, the determination of these two analytes in a water-soluble sample is difficult and therefore requires a more efficient method. Objective To develop a sensitive method for the determination of honokiol and magnolol in a water-soluble sample for better quality control of Cortex Magnoliae Officinalis and its related Chinese Patent Medicines. Method In this work, a combination of dispersive micro-solid-phase extraction (DMSPE) and high-performance liquid chromatography (HPLC) has been developed for simultaneous preconcentration and determination of honokiol and magnolol in complex bio-samples. Several experimental factors affecting the extraction efficiency were optimized by single factor test. Results Under the optimized extraction conditions, the proposed method exhibited good linearity of not less than 0.9998, satisfactory precision with relative standard deviation of less than 1.3%, and acceptable mean recoveries of 97.3% and 101.5% for honokiol and magnolol, respectively. Furthermore, the method exhibits extremely high sensitivity with detection limits of 0.0097 and 0.0231 ng/mL, which is even more sensitive than those methods developed by MS. Conclusions The method established in this study is fast, economic, accurate, easy to operate, and importantly well suited to the extraction and analysis of honokiol and magnolol in a real complex sample matrix.

A novel classification method for aid decision of traditional Chinese patent medicines for stroke treatment

2017 ◽  
Vol 11 (3) ◽  
pp. 432-439 ◽  
Author(s):  
Yufeng Zhao ◽  
Bo Liu ◽  
Liyun He ◽  
Wenjing Bai ◽  
Xueyun Yu ◽  
...  
Keyword(s):  
Classification Method ◽  
Stroke Treatment ◽  
Patent Medicines ◽  
Chinese Patent ◽  
Aid Decision

scholarly journals Design and Evaluation of a Prescription Drug Monitoring Program for Chinese Patent Medicine based on Knowledge Graph

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wangping Xiong ◽  
Jun Cao ◽  
Xian Zhou ◽  
Jianqiang Du ◽  
Bin Nie ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Drug Monitoring ◽  
Named Entity Recognition ◽  
Monitoring Program ◽  
Entity Recognition ◽  
Knowledge Graph ◽  
Named Entity ◽  
Patent Medicines ◽  
Prescription Drug Monitoring Program ◽  
Chinese Patent

Background. Chinese patent medicines are increasingly used clinically, and the prescription drug monitoring program is an effective tool to promote drug safety and maintain health. Methods. We constructed a prescription drug monitoring program for Chinese patent medicines based on knowledge graphs. First, we extracted the key information of Chinese patent medicines, diseases, and symptoms from the domain-specific corpus by the information extraction. Second, based on the extracted entities and relationships, a knowledge graph was constructed to form a rule base for the monitoring of data. Then, the named entity recognition model extracted the key information from the electronic medical record to be monitored and matched the knowledge graph to realize the monitoring of the Chinese patent medicines in the prescription. Results. Named entity recognition based on the pretrained model achieved an F1 value of 83.3% on the Chinese patent medicines dataset. On the basis of entity recognition technology and knowledge graph, we implemented a prescription drug monitoring program for Chinese patent medicines. The accuracy rate of combined medication monitoring of three or more drugs of the program increased from 68% to 86.4%. The accuracy rate of drug control monitoring increased from 70% to 97%. The response time for conflicting prescriptions with two drugs was shortened from 1.3S to 0.8S. The response time for conflicting prescriptions with three or more drugs was shortened from 5.2S to 1.4S. Conclusions. The program constructed in this study can respond quickly and improve the efficiency of monitoring prescriptions. It is of great significance to ensure the safety of patients’ medication.

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