A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics technology / 药学学报

A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics was constructed. Ginkgo biloba leaf dripping pills was explored as the experimental subject to simulate the dripping process based on FLOW-3D software. The dripping process was simulated through the derivation of the governing equations, the selection of the models, and simulation parameters. Firstly, the droplet morphologies and drop speeds under different liquid viscosity were simulated. It was found that with the increase of the liquid viscosity, the drop speed decreased and the difficulty of droplet preparation gradually increased. The simulation results were consistent with the experiment results. Secondly, the droplet morphologies at different drop speeds were investigated and verified by experiments. It was found that the simulation results had a good correlation with the experiment results. The results shown that the viscosity of the liquid was the critical material attribute, and the drop speed was the critical process parameter, according to the droplet morphology. The establishment of the simulation method can deepen the understanding of the dripping process and provide a reference for the selection of raw materials and process parameters.

Study on extraction kinetics of Salviae Miltiorrhizae Radix et Rhizoma: model establishment and investigation of critical process parameters / 中国中药杂志

In this study, Fick's first law and partition equilibrium were used to represent the internal and external mass transfer processes of Salviae Miltiorrhizae Radix et Rhizoma at the macroscopic level, and a mass transfer model was established. The specific surface area was integrated into the mass transfer resistance, which effectively avoided the irregular shape of medicinal materials and expanded the application scope of the model. Meanwhile, the mass transfer model was further combined with the kinetic model of salvia-nolic acid degradation to establish the extraction kinetic models of salvianolic acid B, lithospermic acid and Danshensu. The model was applied to study the extraction process of Salviae Miltiorrhizae Radix et Rhizoma. According to the sensitivity analysis results, the relative error of the model prediction was within 5% near the maximum extraction rate(320 min), and the prediction performance of the model was good. According to the investigation results of different process parameters, stirring could significantly accelerate the mass transfer rate of salvianolic acid B, while the mass transfer resistance and degradation rate constant were not affected by solvent-to-solid ratio. The linear relationship between the reciprocal of temperature and the logarithm of mass transfer resistance was good(R~2=0.996), indicating that the temperature and mass transfer resistance conformed to Arrhenius formula. In addition, we also found that the concentration changes of lithospermic acid and Danshensu were weakly affected by mass transferwhen the extraction temperature was higher than 358 K. This study has provided the basis for the process optimization and quality control of traditional Chinese medicine extraction.

Identification of critical process parameters of Jinqing alcohol precipitation of Reduning Injection by big data / 中国中药杂志

Lonicerae Japonicae Flos and Artemisiae Annuae Herba(LA or Jinqing) alcohol precipitation has various process parameters and complex process mechanism, and is one of the key units for manufacturing Reduning Injection. In order to identify the critical process parameters(CPPs) affecting the weight of the extract produced from the alcohol precipitation process, 259 batches of historical production data from 2017 to 2018 were collected, with a total of 829 318 data points. These data showed characteristics of large data, such as a large data volume, a low value density, and diverse sources. The data cleaning and feature extraction were first performed, and 48 feature variables were selected. The original data points were reduced to 9 936. Then, a combination of Pearson correlation analysis and grey correlation analysis were used to screen out 15 potential critical process parameters(pCPPs). After that, the partial least squares(PLS) was used in prediction of the weight of the extract, proving that the performance of predictive model based on 15 pCMAs is equivalent to that of predictive model based on 48 feature variables. The variable importance in projection(VIP) index was used to identify 9 CPPs, including 2 alcohol precipitation supernatant volume parameters, 4 initial extract weight parameters and 3 added alcohol volume parameters. As a result, the number of data points was 1 863, accounting for 0.28% of the original data. The big data analysis approach from a holistic point of view can effectively increase the value density of the original data. The critical process parameters obtained can help to accurately describe the quality transfer mechanism of the Jinqing alcohol precipitation process.

Quality control of ethanol extraction process of Corydalis Rhizoma based on quality by design (QbD) / 中草药

Objective: To improve the quality control level of ethanol extraction process of Corydalis Rhizoma (CR) by using quality by design (QbD), so as to meet the extraction requirements of Kedaling Tablets. Methods: The critical process parameters were solvent multiple, extraction time and soaking time, and the critical quality attributes were dry extract rate, content and transfer rate of dehydrocorydaline. The response surface methodology was used to establish the mathematical model between the critical process parameters and the critical quality attributes. The overlapping design space of multiple index design spaces was established to select the optimal operation space, where the process verification was carried out. Results: The operating space parameters of ethanol extraction of CR was 14-24 h of the immersion time, 3.0-4.0 times of the first time solvent multiple, 1.5-2.0 times of the second and third time solvent multiple, and 1.5-2.5 h of the extraction time. Under this operating space, the extraction yield of CR was ranged from 6%-8%, the content of dehydrocorydaline was more than 2.8%, and the transfer rate was not less than 85%. Conclusion: The concept of QbD is helpful to improve the ethanol extraction process of CR, and to obtain a reliable and suitable extraction operation space for the production of Kedaling Tablets.

Aplicación del Análisis de Componentes Principales en el proceso de fermentación de un anticuerpo monoclonal / Application of Principal Components Analysis in the fermentation process of a monoclonal antibody

En el Centro de Inmunología Molecular (La Habana, Cuba) se produce un anticuerpo monoclonal terapéutico que ha encontrado una efectiva aplicación en el tratamiento de pacientes aquejados de cáncer de cabeza y cuello. Dada la gran variabilidad que ha tenido la concentración de este anticuerpo en la etapa de fermentación industrial de la planta donde es producido, se hizo necesaria la aplicación de una técnica de análisis multivariante como el Análisis de Componentes Principales, con el fin de reducir la dimensionalidad de los datos y de explicar las principales fuentes de variabilidad del proceso. Para llevar a cabo el Análisis de Componentes Principales mediante el programa THE UNSCRAMBLER se partió de la determinación de los parámetros críticos de la etapa de fermentación a través de un modelo de riesgo basado en matriz de entradas y salidas empleando los datos de la campaña realizada en el año 2014. Como resultado se obtuvo que dos componentes principales logran explicar más del 99 por ciento de la varianza total, y se logró definir cuáles son los parámetros críticos que mayor aporte tienen a la variabilidad del proceso de fermentación. Dichos resultados corroboraron experiencias prácticas de especialistas de la planta y permitieron dar recomendaciones a considerar en el Plan de Verificación Continuada del Proceso, como proponer la inclusión en la estrategia de control del proceso a la temperatura, la velocidad de agitación, el oxígeno disuelto y el tiempo de duración del cultivo(AU)

In the Center of Molecular Immunology (Havana, Cuba) an effective therapeutic monoclonal antibody against head and neck cancer is produced. Given the great variability of the concentration of this antibody in the industrial fermentation stage of the plant, it became necessary to apply a multivariate analysis technique such as the Principal Component Analysis, in order to reduce data dimensionality and to explain the main sources of variability of the process. In order to carry out the Principal Component Analysis through the software THE UNSCRAMBLER, the determination of the critical parameters of the fermentation stage through a risk model based on input and output matrix using data from the campaign of the year 2014 was carried out. As a result, two main components were able to explain more than 99 percent of the total variance, and it was possible to define the critical parameters that have the greatest contribution to the variability of the fermentation process. These results corroborated the practical experiences of specialists of the plant and allowed to give recommendations to consider in the Plan of Continuous Verification of the Process as proposing the inclusion in the strategy of control of the process the variables temperature, the speed of agitation, dissolved oxygen and the culture duration(AU)

Application of quality by design in granulation process for Ginkgo leaf tablet (Ⅲ)： process control strategy based on design space / 中国中药杂志

In this paper, under the guidance of quality by design (QbD) concept, the control strategy of the high shear wet granulation process of the ginkgo leaf tablet based on the design space was established to improve the process controllability and product quality consistency. The median granule size (D50) and bulk density (Da) of granules were identified as critical quality attributes (CQAs) and potential critical process parameters (pCPPs) were determined by the failure modes and effect analysis (FMEA). The Plackeet-Burmann experimental design was used to screen pCPPs and the results demonstrated that the binder amount, the wet massing time and the wet mixing impeller speed were critical process parameters (CPPs). The design space of the high shear wet granulation process was developed within pCPPs range based on the Box-Behnken design and quadratic polynomial regression models. ANOVA analysis showed that the P-values of model were less than 0.05 and the values of lack of fit test were more than 0.1, indicating that the relationship between CQAs and CPPs could be well described by the mathematical models. D₅₀ could be controlled within 170 to 500 μm, and the bulk density could be controlled within 0.30 to 0.44 g•cm⁻³ by using any CPPs combination within the scope of design space. Besides, granules produced by process parameters within the design space region could also meet the requirement of tensile strength of the ginkgo leaf tablet..

Comparison on three methods for identification of critical process parameters / 中草药

Objective: To investigate the characteristics of multiple linear regression method, stepwise regression method, and standardized partial regression coefficient method for the identification of critical process parameters. Methods: The acid precipitation and alkaline dissolution process of Scutellariae Radix (SR) water extract was investigated as an example. Results: Similar results were obtained using three different methods. The concentration of SR water extract, pH value of acid precipitation, pH value of alkali dissolution, and refrigeration temperature were considered as critical process parameters. Conclusion: The selection of threshold values of the three methods all are subjective. Multiple linear regression method is simple, but is not as sensitive as stepwise regression method. The effects of a parameter on several process indices can be considered simultaneously and easily weighted using standardized partial regression coefficient method.

Functionality advancement of poorly soluble biovariable anti hypertensive Drug by sophisticated SD-FBP technology as per enhanced QbD.

Lacidipine (LCDP) is a dihydropyridine derivative categorized as an Anti-hypertensive Ca+2 channel blocker belonging to BCS class IV drug with low solubility and low permeability which presents a challenge to the formulation scientists. The development of a solid dispersion by solvent evaporation is a practically viable method to enhance dissolution of LCDP from oral dosage form. Solvent evaporation by Fluidized Bed Process (FBP) was the method of choice for SD as it improves wettability with simultaneous increase in porosity of granules resulting enhanced surface area producing higher dissolution rate and bioavailability of poorly water-soluble drug. Thus, the main object of the present invention is to provide stable pharmaceutical dosage form of LCDP with desired dissolution rate i.e. at least 80% drug release within 45 minutes, without use of disintegrant(s) and/or surfactant(s) or without micronization of the active ingredient per se. One more object of this invention is to provide a sophisticated robust process for the preparation of said pharmaceutical dosage form by Quality by Design (QbD) concept focusing on thorough understanding of the product and process by which it is developed and manufactured along with a knowledge of the risks involved in manufacturing by IRMA & FMEA study of the product with process and how best to mitigate those risks by developing design space with DoE & MVDA with outlined control strategy.