ABSTRACT
ObjectiveA feedforward control model for dry granulation of polysaccharide components was established to guide the adjustment and optimization of critical process parameters （CPPs） in the design space， so as to reduce the impact of fluctuations in raw materials properties on the quality of medicines. MethodTaking Astragali Radix extract powder as the model drug， the design space of dry granulation CPPs was determined by Box-Behnken design. Astragali Radix mixed powder with different powder properties were prepared by mixture design， the variance inflation factor （VIF） was used to diagnose the multicollinearity of the powder properties， and principal component analysis （PCA） was used to extract the characteristic data of the model. Radial basis function neural network （RBFNN） was used to establish a feedforward control model for reflecting the relationship between the powder properties of polysaccharide components， dry granulation CPPs and one-time molding rate. ResultThe design space for dry granulation CPPs of polysaccharide components was 16-35 Hz for feeding speed， 10-23 Hz for roller speed， and 10-46 kg·cm-2 for roller pressure. The established RBFNN feedforward control model had a good predictive effect on the one-time molding rate of dry granulation of polysaccharide components， which could be used to guide the adjustment and optimization of CPPs in the design space， the relative error was 0.38%-6.73%， and the average relative error was 3.42%. ConclusionThe established feedforward control model can well reflect the relationship between the powder properties of the polysaccharide components， the dry granulation CPPs and the one-time molding rate of the granules， which can be used to guide the adjustment and optimization of CPPs in the design space， reduce the impact of material property fluctuation on product quality， and provide ideas for promoting the quality of traditional Chinese medicine from passive control to active control.
ABSTRACT
Identification of critical quality attribute(CQA) is crucial in quality control of Tongren Niuhuang Qingxin Pills(TRNHQXP). In this study, 661 active components in TRNHQXP were selected by liquid chromatography-mass spectrometry(LC-MS) and network pharmacology based on reported data and TCMSP, BATMAN-TCM, and TCMID databases, as well as mass spectrometry data, and 1 413 targets of the active components were obtained through SwissTargetPrediction. The 152 potential targets obtained from the intersection of predicted targets with 456 stroke targets underwent functional enrichment analysis by Metascape. The 27 Chinese medicinals in TRNHQXP were divided into four sets according to efficacies. Thirty-seven key targets in the blood-activating and stasis-resolving set and 41 in the tonifying set were screened out. On the basis of these potential key targets, 137 potential key CQA of TRNHQXP for stroke were reversely predicted. This study revealed the possible mechanism of TRNHQXP in treating stroke and established a modular identification method for the potential CQA of big brand traditional Chinese medicine(TCM) based on efficacies and chemical properties. Consequently, the CQA of TRNHQXP were identified by this method, which has provided a reference for the following experimental studies of CQA.
Subject(s)
Chromatography, Liquid , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Quality ControlABSTRACT
OBJECTIVE: To investigate the effect of the critical quality attributes of hypromellose (HPMC) on the release profile of diclofenac sodium sustained-release tablets in vitro. METHODS: The characteristics including appearance, particle size, density, compression and specific surface area of HPMC K15M from three manufacturers (A, B and C) were studied and evaluated comprehensively. The compression data of HPMC K15M were non-linear fitted via the pressure-tensile strength curve method, Kawabe equation and Hasano equation. Sustained-release tablets were prepared by using diclofenac sodium as the active ingredient with different HPMC as gel matrix, and the in vitro release behavior of the tablets was determined in order to identify the critical quality attribute of HPMC that affect the in vitro release profile of diclofenac sodium sustained-release tablets. RESULTS: The release rate of diclofenac sodium sustained-release tablets was correlated with the substitution type of HPMC, viscosity, density and specific surface area, but less affected by particle size. CONCLUSION: Substitution, viscosity, density and specific surface area of HPMC are the CQAs factors influencing the release profile of diclofenac sodium sustained- release tablets.
ABSTRACT
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.