ABSTRACT
Oral solid dosage(OSD) occupies a key position in the market of Chinese patent medicines and new traditional Chinese medicines. Processing route is the foundation for the research and development of traditional Chinese medicine OSDs. On the basis of prescriptions and preparation methods of 1 308 traditional Chinese medicine OSDs recorded in the Chinese Pharmacopoeia, we summarized the patterns of processing routes of both modern dosage forms(tablets, granules, and capsules) and traditional dosage forms(pills and powder) and constructed a manufacturing classification system(MCS) based on the processing routes. Based on the MCS, statistical analyses were conducted respectively on medicinal materials, pharmaceutical excipients, extraction solvents in the pretreatment process, crushed medicinal materials, methods of concentration and purification, and methods of drying and granulation, aiming to uncover the process features. The results showed that each dosage form can be prepared via different routes with different processing methods of decoction pieces and raw materials for dosage preparation. The raw materials for dosage form preparation of traditional Chinese medicine OSDs included total extract, semi-extract, and total crushed powder, which accounted for different proportions. The raw materials for traditional dosage forms are mainly decoction pieces powder. Semi-extracts are the main raw materials for tablets and capsules, which account for 64.8% and 56.3%, respectively. Total extracts are the main raw materials for granules, with a proportion of 77.8%. Compared with tablets and capsules, traditional Chinese medicine granules with dissolubility requirements had a larger proportion of water extraction process, a higher proportion of refining process(34.7%), and a lower proportion of crushed medicinal mate-rials in semi-extract granules. There are four ways to add volatile oil to the modern dosage forms of traditional Chinese medicine. In addition, some new technologies and processes have been used in concentration, filtration, and granulation processes of traditional Chinese medicine OSDs, and the application of pharmaceutical excipients is diversified. The results of this study are expected to provide reference for the processing route design and upgrading of OSDs for new traditional Chinese medicines.
Subject(s)
Capsules , Excipients , Medicine, Chinese Traditional , PowdersABSTRACT
In this paper, 50 batches of representative traditional Chinese medicine tablets were selected and the disintegration time was examined with the method in Chinese Pharmacopoeia. The disintegration time and disintegration phenomenon were recorded, and the dissolution behaviors of water-soluble and ultraviolet-absorbent components during the disintegration process of tablets were characterized by self-control method. The results revealed that coating type and raw material type influenced the disintegration time of tablets. It was found that only 4% of traditional Chinese medicine tablets had obvious fragmentation during the disintegration process, while 96% of traditional Chinese medicine tablets showed gradual dissolution or dispersion. Furthermore, according to the disintegration speed, disintegration phenomenon, and whether the cumulative dissolution of measured components was > 90% at complete disintegration, a disintegration behavior classification system(DBCS) was created for the regular-release traditional Chinese medicine tablets. As a result, the disintegration behaviors of 50 batches of traditional Chinese medicine tablets were classified into four categories, i.e. ⅠA_2, ⅠB_1, ⅡB_1, and ⅡB_2. traditional Chinese medicine tablets(Class I) with disintegration time ≤ 30 min were defined to be rapid in disintegration, which can be the objective of optimization or improvement of Chinese herbal extract(semi extract) tablets. Different drug release models were used to fit the dissolution curve of traditional Chinese medicine tablets with gradual dissolution or dispersion phenomenon(i.e. Type B tablets). The results showed that the dissolution curves of water-soluble components in the disintegration process conformed to the zero order kinetics and the Ritger-Peppas model. It could be inferred that the disintegration mechanisms of type B tablets were a combination of dissolution controlled and swelling controlled mechanisms. This study contributes to understanding the disintegration behavior of traditional Chinese medicine tablets, and provides a reference for the design and improvement of disintegration performance of traditional Chinese medicine tablets.
Subject(s)
Commerce , Medicine, Chinese Traditional , Tablets , Water , Drug CompoundingABSTRACT
In the new stage for intelligent manufacturing of traditional Chinese medicine(TCM) from pilot demonstration to in-depth application and comprehensive promotion, how to raise the degree of intelligence for the process quality control system has become the bottleneck of the development of TCM production process control technology. This article has sorted out 226 TCM intelligent manufacturing projects that have been approved by the national and provincial governments since the implementation of the "Made in China 2025" plan and 145 related pharmaceutical enterprises. Then, the patents applied by these pharmaceutical enterprises were thoroughly retrieved, and 135 patents in terms of intelligent quality control technology in the production process were found. The technical details about intelligent quality control at both the unit levels such as cultivation, processing of crude herbs, preparation pretreatment, pharmaceutical preparations, and the production workshop level were reviewed from three aspects, i.e., intelligent quality sensing, intelligent process cognition, and intelligent process control. The results showed that intelligent quality control technologies have been preliminarily applied to the whole process of TCM production. The intelligence control of the extraction and concentration processes and the intelligent sensing of critical quality attributes are currently the focus of pharmaceutical enterprises. However, there is a lack of process cognitive patent technology for the TCM manufacturing process, which fails to meet the requirements of closed-loop integration of intelligent sensing and intelligent control technologies. It is suggested that in the future, with the help of artificial intelligence and machine learning methods, the process cognitive bottleneck of TCM production can be overcome, and the holistic quality formation mechanisms of TCM products can be elucidated. Moreover, key technologies for system integration and intelligent equipment are expected to be innovated and accelerated to enhance the quality uniformity and manufacturing reliability of TCM.