AI Article Synopsis
- The shift in pharmaceutical manufacturing is moving towards continuous and intelligent processes, particularly in traditional Chinese medicine (TCM), enhancing efficiency and quality consistency.
- Key technologies like material property characterization and process modeling are crucial for developing continuous manufacturing systems in TCM, emphasizing the need for high-speed, reliable equipment.
- A maturity assessment model focusing on operation, equipment, process, and quality control continuity is proposed to guide the effective application of continuous manufacturing in TCM.
Article Abstract
The pharmaceutical manufacturing model is gradually changing from intermittent manufacturing to continuous manufacturing and intelligent manufacturing. This paper briefly reviewed the supervision and research progress in continuous pharmaceutical manufacturing in China and abroad and described the definition and advantages of continuous pharmaceutical manufacturing. The continuous manufacturing of traditional Chinese medicine(TCM) at the current stage was summarized in the following three terms: the enhancement of the continuity of intermittent manufacturing operations, the integration of continuous equipment to improve physical continuity between units, and the application of advanced process control strategies to improve process continuity. To achieve continuous manufacturing of TCM, the corresponding key technologies, such as material property characterization, process modeling and simulation, process analysis technology, and system integration, were analyzed from the process and equipment, respectively. It was proposed that the continuous manufacturing equipment system should have the characteristics of high speed, high response, and high reliability, "three high(H~3)" for short. Considering the characteristics and current situation of TCM manufacturing, based on the two dimensions of product quality control and production efficiency, a maturity assessment model for continuous manufacturing of TCM, consisting of operation continuity, equipment continuity, process continuity, and quality control continuity, was proposed to provide references for the application of continuous manufacturing technology for TCM. The implementation of continuous manufacturing or the application of key continuous manufacturing technologies in TCM can help to systematically integrate advanced pharmaceutical technology elements and promote the uniformity of TCM quality and the improvement of production efficiency.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.19540/j.cnki.cjcmm.20230228.301 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
2D Perovskite Heterojunction-Based Self-Powered Polarized Photodetectors with Controllable Polarization Ratio Enabled by Ferro-Pyro-Phototronic Effect.
Adv Sci (Weinh)
January 2025
Hebei Key Laboratory of Photo-Electricity Information and Materials, College of Physics Science and Technology, Hebei University, Baoding, 071002, P. R. China.
Metal halide perovskites (MHPs) are commonly used in polarization-sensitive photodetectors (PDs) for applications such as polarization imaging, remote sensing, and optical communication. Although various methods exist to adjust the polarization-sensitive photocurrent, a universal and effective approach for continuous control of MHPs' optoelectronic and polarized properties is lacking. A universal strategy to electrically modulate the polarization ratio (PR) of self-powered polarized PDs using the ferro-pyro-phototronic effect (FPPE) in 2D perovskites is presented.
View Article and Find Full Text PDFAccelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions.
NPJ Comput Mater
January 2025
School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, CT USA.
Machine learning has advanced the rapid prediction of inorganic materials properties, yet data scarcity for specific properties and capturing thermodynamic stability remains challenging. We propose a framework utilizing a Graph Neural Network with composition-based and crystal structure-based architectures, combined with a transfer learning scheme. This approach accurately predicts energy-related properties (e.
View Article and Find Full Text PDFAssociation between individual occupational noise exposure and overweight/obesity among automotive manufacturing workers in South China.
BMC Public Health
January 2025
Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.
Background: Occupational noise has been associated with numerous adverse health outcomes. However, limited evidence exists regarding its association with obesity. We aim to investigate the effect of occupational noise exposure on the risk of overweight/obesity among workers, providing scientific evidence for the prevention and management of overweight/obesity in the occupational population.
View Article and Find Full Text PDFBackground: Age-related macular degeneration (AMD), a condition of multifactorial origin, is a major cause of irreversible vision loss in industrialized countries. The dry late stage of the disease, known as geographic atrophy (GA), is characterized by progressive loss of photoreceptor cells and retinal pigment epithelial cells in the central retina. An estimated 300 000 to 550 000 people in Germany suffer from GA.
View Article and Find Full Text PDFNutriBase - management system for the integration and interoperability of food- and nutrition-related data and knowledge.
Front Nutr
January 2025
Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia.
Introduction: Contemporary data and knowledge management and exploration are challenging due to regular releases, updates, and different types and formats. In the food and nutrition domain, solutions for integrating such data and knowledge with respect to the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles are still lacking.
Methods: To address this issue, we have developed a data and knowledge management system called NutriBase, which supports the compilation of a food composition database and its integration with evidence-based knowledge.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!