RESUMO
The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
Assuntos
Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Controle de Qualidade , Big Data , AlgoritmosRESUMO
Physical attributes of Chinese herbal extracts are determined by their chemical components, and the physical and chemical attributes jointly affect the preparation process performance and the final product quality. Therefore, in order to improve the quality control of Chinese herbal extracts, we should comprehensively study the batch-to-batch consistency of physical and chemical attributes as well as the correlations between them. This paper first explored the physical attributes affecting the preparation process performance of the compound Danshen extract and developed a method for characterizing the texture attributes. With such main chemical components as water, phenolic acids, saponins, and saccharides and texture, rheology, and other physical attributes taken into consideration, the batch-to-batch quality fluctuation of products from different production lines and time was analyzed by principal components analysis(PCA). Finally, the correlation and partial least squares(PLS) analysis was conducted, and the regression equation was established. The fitting result of the PLS model for dynamic viscosity was satisfying(R~2Y=0.857, Q~2=0.793), suggesting that the chemical components could be adjusted by the component transfer rate in the extraction process, the impurity removal rate in the alcohol precipitation process, and the water retention rate of the concentration process to meet the control of the extract dynamic viscosity. This study clarified the correlations between physical and chemical attributes of the compound Danshen extract and established a method for controlling its physical attributes based on process regulation, which would provide reference for improving the quality control of Chinese herbal extracts.
Assuntos
Medicamentos de Ervas Chinesas , Salvia miltiorrhiza , Medicamentos de Ervas Chinesas/química , Controle de Qualidade , Salvia miltiorrhiza/química , ÁguaRESUMO
The mixing process is one of the key operation units for solid preparation of traditional Chinese medicine. The physical properties such as particle size, density and viscosity of the mixture are key factors that need to be controlled, which will directly affect the performance of the preparation molding process and product quality. Subsequent dripping process performance and appearance qua-lity of dripping pills will be affected by dynamic viscosity of materials in the mixing process. Based on this, with mixing process of compound Danshen dripping pills as the object, a feedforward control method for the dripping pill mixing process was established based on the concept of quality by design(QbD). Firstly, critical quality attribute(CQA)-dynamic viscosity, critical material attributes(CMAs)-the moisture content of compound Danshen extract, average molecular weight of polyethylene glycol 6000 and critical process parameter(CPP)-mixing temperature were identified through the analysis of properties for multiple batches of the raw materials and excipients as well as technological mechanism. Then the Box-Behnken experimental design was used to establish the regression model among CMA, CPP and CMA(Râ =0.972 0, RMSE =16.24) to obtain the design space. Finally, through the verification of three batches within the design space, the mixing process temperature was adjusted according to the properties of the raw materials and exci-pients to achieve accurate control of the dynamic viscosity attribute. The relative deviation between the actual dynamic viscosity value and the target value was less than 3.0 %. The feedforward control of the mixing process of compound Danshen dripping pills was rea-lized in this study, which can contribute to improving quality consistency of the mixing process intermediates, simultaneously provide a reference for the research on the process quality control of other Chinese medicine dripping pills.
Assuntos
Medicamentos de Ervas Chinesas , Projetos de Pesquisa , Canfanos , Medicina Tradicional Chinesa , Panax notoginseng , Controle de Qualidade , Salvia miltiorrhizaRESUMO
To ensure the stability of chemistry components and the convenience of operation, ultrasound method was chosen to study in this investigation. As the total common peaks area in chromatograms was set to be evaluation index, the influence on the technology caused by extraction time, ethanol concentration and liquid-to-solid ratio was studied by using single factor methodology, and the extraction technology of Paeoniae Radix Alba was optimized by using response surface methodology. The results showed that the extracting results were most affected by ethanol concentration; liquid-to-solid ratio came the second and extraction time thirdly. The optimum ultrasonic-assisted extraction conditions were as follow: the ultrasonic extraction time was 20.06 min, the ethanol concentration in solvent was 72.04%, and the liquid-to-solid ratio was 53.38 mL · g(-1), the predicted value of total common peaks area was 2.1608 x 10(8). Under the extraction conditions after optimization, the total common peaks area was 2.1422 x 10(8), and the relative deviation between the measured and predicted value was 0.86%, so the optimized extraction technology for Paeoniae Radix Alba is suitable and feasible. Besides, for the purpose of extracting more sufficiently and completely, the optimized extraction technology had more advantages than the extraction method recorded in the monogragh of Paeoniae Radix Alba in Chinese Pharmacopoeia, which will come true the assessment and utilization comprehensively.
Assuntos
Paeonia/química , Tecnologia Farmacêutica/métodosRESUMO
OBJECTIVE: An UPLC method was developed to evaluate the quality of Paeoniae Radix by simultaneously determining four components, paeoniflorin, albiflorin, benzoylpaeoniflorin and paeonol in Paeoniae Radix Alba decoction pieces. METHOD: The UPLC chromatographic column was ACQUITY UPLC® HSS T3. The mobile phase was acetonitrile-0.05% phosphoric acid water with gradient elution. The column temperature was 30 °C and detection wavelength was 230 nm with a flow rate of 0.4 mL · min(-1). A linear model was obtained through principal component analysis (PCA), and PCA scores were used to evaluate the quality of Radix Paeoniae Alba decoction pieces comprehensively. RESULT: Paeoniflorin, albiflorin, benzoylpaeoniflorin and paeonol could be well separated from other components, and the results of specificity, precision, repeatability, linearity, recovery rate and stability reached the standards, respectively. The content of paeoniflorin in 9 batches of Paeoniae Radix Alba decoction pieces was below the standard given by Chinese Pharmacopoeia (2010 edition). Using the comprehensive scoring method with principal component analysis, the results showed that the samples from Zhejiang province have better quality than those from Anhui and Shandong provinces. CONCLUSION: The method established in this study can effectively determine the content of paeoniflorin, albiflorin, benzoylpaeoniflorin and paeonol, which could be used for quality control of Paeoniae Radix Alba.
Assuntos
Medicamentos de Ervas Chinesas/análise , Paeonia/química , Análise de Componente PrincipalRESUMO
After studying the discipline of chemical components distribution in peony root, it was found that the content distribution of albiflorin, paeoniflorin, benzoylpaeoniflorin and paeonol was inhomogeneous in different parts of peony root, as same as in different roots belonging to a same plant. Therefore, in order to minimize the effects of different qualities of materials on experimental result, the content changing percentages of four chemical components was chosen as indicators to study processing method of Paeoniae Radix Alba. The processing technique of Paeoniae Radix Alba was put peony roots in the boiled water for at most ten minutes, and cut them into 2-3 mm slices after peeling the root bark, finally dry them in a oven under 55 degrees C, which was similar to the traditional processing method used in Bozhou. And the peeling, boiling and drying methods would affect the contents of albiflorin, paeoniflorin, benzoylpaeoniflorin and paeonol on several levels.
Assuntos
Química Farmacêutica/métodos , Medicamentos de Ervas Chinesas/química , Paeonia/química , Raízes de Plantas/química , Cromatografia Líquida de Alta Pressão , Medicamentos de Ervas Chinesas/isolamento & purificaçãoRESUMO
Pyrus bretschneideri Rehd., as a pharmaceutical supplement, is widely used in northern China to treat respiratory diseases. Our previous studies showed the ethanol extract of P. bretschneideri had significant anti-inflammatory activity. To isolate and identify the active ingredients, the ethanol extract was separated into petroleum ether, ethyl acetate, n-butanol, and aqueous fractions. The bioactivity of each fraction was investigated using an in vivo model. Results showed that the ethyl acetate fraction exhibited the strongest anti-inflammatory effect. Subsequently, this fraction was subjected to separation and purification using silica gel column chromatography, C18-ODS, and recrystallization, leading to two sterols and two triterpenes, which were identified as ß-sitosterol, daucosterol, oleanolic acid, and ursolic acid. Moreover, all of the isolated compounds could significantly inhibit the ear edema induced by xylene. These results indicated that P. bretschneideri had good anti-inflammatory effects and the constituents ß-sitosterol, daucosterol, oleanolic acid, and ursolic acid might well account for it.