Study on Problems and Countermeasures in the Management of Spot Check of Chinese Herbal Pieces

Objective To provide suggestions for optimizing the sampling management of Chinese herbal pieces and improving the quality Chinese herbal pieces.Methods Logical reasoning method was used to analyze the problems in the drug spot check of Chinese herbal pieces based on the data of drug quality published by the National Medical Products Administration from 2013 to 2021,combined with the current provisions and implementation of drug spot check management in China.Results and Conclusion At present,there are some problems in the drug spot check of Chinese herbal pieces,such as fewer varieties of Chinese herbal pieces in the national drug spot check,the unreasonable sampling links,the insufficient territorial management in some areas,and error-prone sample extraction.It is suggested that the actual quantity and overall quality of Chinese herbal pieces should be fully considered in the formulation of sampling plan.Besides,the variety coverage of drug spot check of traditional Chinese medicine should be strengthened.In the planning,the sampling links shall be made as a whole,and the credit rating and distribution of drug production,operation and use units within the jurisdiction shall be fully combined.While strengthening the sampling management at the production end in areas with concentrated industries,regional special drug spot check should be carried out or the administrative forces at the provincial,municipal and county levels should be fully mobilized to avoid local protection.In the assigned tasks,the name of Chinese herbal pieces should be accurately expressed to avoid the sampling errors of Chinese herbal pieces with the same original medicinal materials and different processing methods.

A systematic review and meta-analysis to compare the effects of Chinese herbal pieces and granule in different diseaseherbal pieces

Objective:Compared to Chinese herbal piecesherbal pieces,the quality of TCM granule is stable and controllable,it is also a convenient alternative to decocting herbs.However,whether they are as clinically effective as Chinese herbal piecesherbal pieces is still controversial.In this study,a systematic review and meta-analysis were performed to assess the clinical efficacy of TCM granules and Chinese herbal piecesherbal pieces.Methods:A search of online databases for eligible articles was performed,including PubMed,Embase,Cochrane Library,Web of Science,China National Knowledge Internet,WanFang,and Chongqing VIP Information,searching from the inception of these databases to 2020.The Cochrane Handbook 5.1.0 was used to independently identify the trials,extract data,and assess the risk of bias.The meta-analysis was performed via RevMan 5.3 software.Results:A total of 98 eligible articles were included.After classification and statistical analysis of the related diseases,a meta-analysis was performed on 8 types of illnesses(cold,hypertension,migraine,osteoporosis,and diseases of the digestive system,such as gastritis,gastric ulcer,colitis,epigastric pain)included in 66 randomized controlled trials to compare the clinical efficacy and adverse events of TCM granules and Chinese herbal pieces.Meta-analysis showed that compared with Chinese herbal piecesherbal pieces,TCM granules had similar effectiveness and safety in treating cold,hypertension,and osteoporosis,but a higher response rate in migraines and a better effect in reducing migraine duration and higher response rate on diseases of the digestive system.Conclusion:Compared with the traditional decoctions,TCM formula granules had the same efficacy and safety,moreover,they had higher efficacy and safety in treating migraines and digestive system diseases.

Rapid recognition of Chinese herbal pieces of Areca catechu by different concocted processes using Fourier transform mid-infrared and near-infrared spectroscopy combined with partial least-squares discriminant analysis

Rapid and sensitive recognition of herbal pieces according to different concocted processing is crucial to quality control and pharmaceutical effect. Near-infrared （NIR） and mid-infrared （MIR） technology combined with supervised pattern recognition based on partial least-squares discriminant analysis （PLSDA） was attempted to classify and recognize six different concocted processing pieces of 600 Areca catechu L. samples and the influence of fingerprint information preprocessing methods on recognition performance was also investigated in this work. Recognition rates of 99.24%, 100% and 99.49% for original fingerprint, multiple scatter correct （MSC） fingerprint and second derivative （2nd derivative） fingerprint of NIR spectra were achieved by PLSDA models, respectively. Meanwhile, a perfect recognition rate of 100% was obtained for the above three fingerprint models of MIR spectra. In conclusion, PLSDA can rapidly and effectively extract otherness of fingerprint information from NIR and MIR spectra to identify different concocted herbal pieces ofA. catechu.