Characterization of potential bitterness critical quality attributes in Xiaoer Ganmao Oral Liquid based on UHPLC-LTQ-Orbitrap MSn / 药学学报

To identify the bitter compounds of real-world Xiaoer Ganmao Oral Liquid sugar-free intermediates, an integrated strategy has been developed by using ultra-high performance liquid chromatography with linear ion trap-Orbitrap mass spectrometry (UHPLC-LTQ-Orbitrap MSn) method and BitterX database prediction. The chromatographic operating conditions were as follows, chromatographic column: Acquity UPLC BEH C18 (100 mm × 2.1 mm, 1.7 μm), mobile phase: 0.1% formic acid-water solution (A)-acetonitrile (B) with gradient elution. The data were collected in positive and negative ion modes, respectively. The accurate molecular mass and structural information of the target compounds were obtained based on quasi-molecular ions and fragmentation ions provided by high-resolution mass spectrometry. The compounds were identified by combining retention time, reference substances, reports, and other relevant data, and a total of 57 constituents including flavonoids, alkaloids, and phenylpropanoids were finally identified. Further, the BitterX database was used to predict binding probability of compounds to bitter receptors and identify potential bitter critical quality attributes, finally 33 potential bitter compounds, including kukoamine A and linarin, were predicted. This study comprehensively characterized the material basis of Xiaoer Ganmao Oral Liquid sugar-free intermediates, it provides an effective method for bitter compound screening and a reference for further improving the undesirable taste of Xiaoer Ganmao Oral Liquid.

Research on dynamic on-line monitoring method of moisture attribute in three honey-processed Chinese herbal slice based on in-situ general model / 药学学报

Aiming at the hysteresis and destructiveness of off-line static detection of critical quality attribute of the moisture content of the raw material unit of the traditional Chinese medicine manufacturing process, honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis were used as the research carriers, and the drying method was used to measure the moisture content as a reference value. The moving stage was used to simulate the movement process of samples on the conveyor belt in the actual on-site production process, and near-infrared (NIR) spectra were collected, combined with machine learning, to establish NIR on-site dynamic detection model of moisture content in multi-variety honey-processed Chinese herbal slice. The results show that the second derivative method is used to preprocess the spectrum. The number of decision trees (ntree), the number of random features (max feature), and the minimum number of samples for generating leaf nodes (node size) are selected: 46, 76, and 8, respectively. The quantitative analysis model of moisture content has the best effect. The prediction coefficient of determination (the prediction coefficient of determination, R2pre) and the root mean square error of prediction (root mean square error of prediction, RMSEP) of the model were 0.903 2 and 0.330 2, respectively. The NIR quantitative model for the moisture content of multi-variety honey-processed Chinese herbal slice established in this study has good predictive performance, and can achieve rapid, accurate and non-destructive quantitative analysis of the moisture content of honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis at the same time, and provides a method for determining the moisture content of honey-processed Chinese herbal slice of the raw material unit of the traditional Chinese medicine manufacturing process.

The measurement of critical quality attributes of Tongren niuhuang qingxin pills based on MIF-HEMT biosensor technology / 药学学报

There is still a serious challenge of the measurement of critical quality attributes (CQAs) related to clinical efficacy for Chinese materia medica manufacturing. To overcome this challenge, an integrated strategy of biosensor and ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) was proposed using Tongren niuhuang qingxin pills as a trial. Firstly, an original biosensor was created using a semiconductor chip material high electron mobility transistor (HEMT) as the transducer and the macrophage migration inhibitory factor (MIF) as the identification element. By this MIF-HEMT biosensor, the efficacy on stoke of different components from Tongren niuhuang qingxin pills was measured. It was clear that all three components of Tongren niuhuang qingxin pills had strong therapeutic effects on stroke, especially the section A, the KD of which reached to 8.722×10-10 g·mL-1. Furthermore, MIF-HEMT biosensor integrated UPLC-MS/MS was introduced to identify the efficacy CQAs of different components of Tongren niuhuang qingxin pills. As a result, 19 potential CQAs, such as albiforin, paeoniflorin, and prim-O-glucosylcimifugin, were measured as the efficacy CQAs of Tongren niuhuang qingxin pills on stroke treatment by MIF. These results provided vital measurement techniques and methodological guidance for the CQAs study of Tongren niuhuang qingxin pills intervention in MIF-induced stroke treatment. This also provided an essential guideline for the efficient utilization and quality control measurement of high-quality classical recipes.

Identification of taste critical quality attribute and formulation optimization of Xiaoer Qingrening Granules based on electronic tongue and human senses / 药学学报

This study primarily concentrated on scientific problems of poor taste caused by unclear critical quality attributes of oral preparations manufactured by Chinese materia medica, successfully established an identification method for taste critical quality attribute and a taste improvement method combining electronic tongue with human senses, and determined the optimal taste formula, to improve patients' oral medication compliance. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine. The results showed that the proportion of bitterness of Xiaoer Qingrening Granule was 61.8%, and its bitterness grade was 3.70, it was determined that bitterness is the critical quality attribute that caused the poor taste of Xiaoer Qingrening Granule. Additionally, the optimal taste formula per milliliter of Xiaoer Qingrening sugar-free intermediate was determined with allowable daily intake, solubility, and sweetness as the limiting conditions, which was 40 mg hydroxypropyl β-cyclodextrin, 180 mg trehalose, and 1.5 mg acesulfame potassium. Compared with the Xiaoer Qingrening Granule, the sensory evaluation score of the optimal taste formula was increased by 37.5 points. In conclusion, this study achieved the taste improvement of Xiaoer Qingrening Granule and formed a set of taste improvement strategies including the identification of taste critical quality attribute, the selection of the type and dosage of corrigent, and the optimization of taste formula, which provided a thought reference for the taste improvement of other oral preparations and a new perspective for quality control of intelligent manufacturing of traditional Chinese medicines.

Characterization of the critical quality attributes for hydroxypropyl methylcellulose with different sources and analysis of the release of sustained-release tablets in vitro / 药学学报

The quality difference of pharmaceutical excipients from different sources affects the molding properties of the powder, resulting in changes in the properties of the final product. In this study, the critical quality attributes of hydroxypropyl methylcellulose (HPMC) with different specifications from two manufacturers (manufacturer A and manufacturer B) were characterized including particle size, physical morphology, viscosity and powder physical quality attributes. Aminophylline, diclofenac sodium, and metformin hydrochloride were utilized as model drugs with different solubility to prepare sustained-release tablets, and the effect of HPMC from different sources on drug release of sustained-release tablets in vitro was investigated. The results showed that HPMC with the same viscosity specification from different sources had outstanding differences in the physicochemical properties (including particle size, physical morphology, viscosity, dimension, compressibility and powder flow), which could change the hardness and friability of the sustained-release tablets. The differences in the physicochemical properties of HPMC had different effects on the dissolution of different sustained-release tablets in vitro. It had no significant effect on the release of easily soluble aminophylline and metformin hydrochloride, but had a greater impact on the release of poorly soluble diclofenac sodium. Compared with manufacturer A, the sustained-release effect of matrix tablets prepared by HPMC from manufacturer B was more excellent. The results of this study will provide a theoretical reference on selecting the appropriate excipients for formulation design.

Establishment of Feedforward Control Model for Dry Granulation of Polysaccharide Components Based on Quality by Design / 中国实验方剂学杂志

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.

Accelerated stability test of sustained-release thienorphine loaded microspheres for injection / 药学学报

In order to meet the clinical needs of long-acting sustained-release thienorphine, injectable thienorphine loaded microspheres were developed, and the accelerated stability study was carried out to explore the suitable storage and transportation conditions of the microspheres. Using poly(lactic-co-glycolic acid) (PLGA) as carrier material, 3 batches of microspheres were prepared in pilot scale with emulsion solvent evaporation method. By investigating the in vitro release of thienorphine loaded microspheres at 37, 45, 52, and 60 ℃, and applying the Arrhenius equation, the linear relationship between the release rate constant (lgk) and the temperature (1/T) was established to obtain the equation: lgk = -8.073/T + 24.35 (R2 = 0.985 3), which showed that the release of microspheres at high temperature can be used to predict the release in vitro at 37 ℃, and 52.0 ± 0.5 ℃ was selected as the accelerated release condition in vitro. The quality research methods were established to investigate the changes of critical quality attributes such as microsphere morphology, drug loading, particle size and distribution, polymer molecular weight, and the related substances under accelerated conditions. The difference factor f1 and similarity factor f2 were used to assess the similarity of release behavior under accelerated conditions. The results showed that under the accelerated experimental conditions of 25 ± 2 ℃ and relative humidity (RH) 60% ± 5%, the critical quality attributes of injectable thienorphine loaded microspheres had no significant change in 6 months, suggesting that the long-term storage condition could be 5 ± 3 ℃.

Critical quality attribute assessment of big brand traditional Chinese medicine: online NIR quality control research on boiling time during extraction process / 中国中药杂志

Assessment of the status property(boiling time) is a challenge for the quality control of extraction process in pharmaceutical enterprises. In this study, the pilot extraction process of Phellodendron chinense was used as the research carrier to develop an online near-infrared(NIR) quality control method based on the status property(boiling time). First, the NIR spectra of P. chinense were collected during the two pilot-scale extraction processes, and the status property(boiling time) was assessed by observing the state of bubbles in the extraction tank using a transparent window during the extraction process, which was then used as a reference standard. Based on the moving block standard deviation(MBSD) algorithm, the assessment model using online NIR spectra for boiling time during extraction process was established. In addition, the model was optimized as follows: standard normal variable(SNV) for spectral pretreatment, modeling band of 800-2 200 nm, and window size of 4. The results showed that, with 0.002 0 as the MBSD model threshold, the boiling time can be accurately assessed using online NIR spectra during extraction process. Furthermore, the principal component analysis-moving block standard deviation(PCA-MBSD) model was developed by our group to reduce the influence of online NIR spectral noise and background signal on the model, and the number of principal components was optimized into 2 in the PCA-MBSD model. The results showed that, with 0.000 075 as the PCA-MBSD model threshold, the boiling time can be accurately assessed using online NIR spectra during extraction process, with improved reliability. This study can provide a assessment method for boiling time during extraction process using online NIR spectra, which can replace the empirical judgment in manual observation, and realize the digitalization of the extraction process for big brand traditional Chinese medicine.

Critical quality attribute assessment of big brand traditional Chinese medicine: process quality control method of Suhuang Zhike Capsules intermediate based on physical properties of powder and granules / 中国中药杂志

The physical properties of powder and granules are the critical quality attributes for the process control of Suhuang Zhike Capsules, a big brand traditional Chinese medicine. This paper took the production of 25 batches of real-world Suhuang Zhike Capsules dry extract powder and granules intermediates as the research object. Firstly, a method for testing the physical properties of Suhuang Zhike Capsules powder and granules with 19 physical indicators was established. The results showed that the granules of dry extract powder after granulation had a smaller particle size, wider particle size distribution range and poor fluidity, which easily caused the problem of over-limit capsule loading. Secondly, correlation analysis, principal component analysis and cluster analysis were used for mathematical statistics. The correlation analysis showed that the density of dry extract powder could affect the chroma and fluidity. At the same time, the particle size in the granules had a stronger effect on the chroma and fluidity than the density. The study also found that the particle size and hygroscopicity of dry extract powder were potentially key physical properties that affected the physical properties of granules. Furthermore, the results of principal component analysis and cluster analysis showed that the consistency of the physical properties between the dry extract powder and intermediate granules was relatively poor. To this end, similarity analysis was carried out, and the quality control method of powder and granules based on physical fingerprint was established. The results showed that the physical fingerprint similarity of 25 batches of dry extract powder was 0.639-0.976, and the physical fingerprint similarity of the gra-nules was 0.716-0.983. With the similarity of 0.85 as the threshold, the batches with abnormal physical properties could be identified. In this study, the process quality control method of Suhuang Zhike Capsules based on the physical properties of powder and granules was established finally, which realized the identification of abnormal batches, and provided a reference for the process quality control of Suhuang Zhike Capsules.

Critical quality attribute assessment of big brand traditional Chinese medicine: quality control method of Huangjing Zanyu Capsules based on chemical properties of characteristic components / 中国中药杂志

The chemical properties of characteristic components are significant to the manufacturing quality control of big brand traditional Chinese medicine. In this study, the Huangjing Zanyu Capsules were used as the research carrier to determine the content of five characteristic components including icraiin, emodin, schisandrin A, 2,3,5,4'-tetrahydroxystilbene-2-O-β-D-glucoside, and osthole simultaneously by high-performance liquid chromatography(HPLC). The results showed that the chemical properties of five cha-racteristic components had a good linear relationship(r>0.999 9) within the quantitative range; the relative standard deviations(RSD) was 0.11%-2.0% and 0.25%-2.8% respectively for intra-day and inter-day precision; the RSD of repeatability was 1.8%-2.6%; the RSD of stability within 48 hours was 0.19%-2.8%, and the average recovery rate was 95.52%-100.1%, all meeting the requirements of pharmaceutical quantitative analysis. Additionally, the interval estimation method was used to directly reflect the distribution of samples with abnormal chemical properties of characteristic components, and the results showed ten samples were detected beyound the 95% control line of confidence level. Multivariate statistical process control(MSPC) method was used to monitor the abnormal samples of Huangjing Zanyu Capsules collectively, and the results showed that two samples were beyond the 95% control line of Hotelling's T~2 and three samples beyond the 95% control line of squared prediction error(SPE), indicating consistent quality control of Huangjing Zanyu Capsules. In conclusion, the proposed method is not only accurate and efficient but also a compensation for the traditional single-component quality control method, providing a scientific basis for the quality control in manufacturing process of Huangjing Zanyu Capsules. Furthermore, it could also serve as a reference method for the quality control in manufacturing big brand traditional Chinese medicine.

Critical quality attribute assessment of big brand traditional Chinese medicine: quality control method of ginkgo leaves extract material based on powder physical properties / 中国中药杂志

The physical properties of ginkgo leaves extract(GLE) are the critical quality attributes for the control of the manufacturing process of ginkgo leaves preparations. In this study, 53 batches of GLE with different sources from the real world were used as the objects to carry out the research from 3 levels. First, based on micromeritics evaluation method, a total of 29 physical attribute quality parameters in five dimensions were comprehensively characterized, with a total of 1 537 data points. Further, with use of physical fingerprinting technology combined with similarity evaluation, the powder physical properties of 53 batches of GLE showed obvious differences from an overall perspective, and the similarity of the physical fingerprints was 0.876 to 1.000. Secondly, hierarchical clustering analysis(HCA) and principal component analysis(PCA) models were constructed to realize the reliable identification and differentiation of real-world materials produced by GLE from different sources. Multivariate statistical process control(MSPC) model was used to create GLE material Hotelling T~2 and squared prediction error(SPE) control charts. It was found that the SPE score of B_(21) powder exceeded the 99% confidence control limit by 22.495 9, and the SPE scores of A_1 and C_(10) powder exceeded the 95% confidence control limit by 16.099 2, realizing the determination of abnormal samples in the materials of GLE from the production in real world. Finally, the physical quality control method of GLE in the production process of ginkgo leaves preparations was established in this study, providing a reference for the quality control methods of ginkgo leaves preparations in their manufacturing process.

Criticalquality attribute assessment of big brand traditional Chinese medicine: visualization method for quality control of Ginkgo Leaves Tablets based on spatial distribution uniformity / 中国中药杂志

Spatial distribution uniformity is the critical quality attribute(CQA) of Ginkgo Leaves Tablets, a variety of big brand traditional Chinese medicine. The evaluation of the spatial distribution uniformity of active pharmaceutical ingredients(APIs) in Ginkgo Leaves Tablets is important in ensuring their stable and controllable quality. In this study, hyperspectral imaging technology was used to construct the spatial distribution map of API concentration based on three prediction models, further to realize the visualization research on the spatial distribution uniformity of Ginkgo Leaves Tablets. The region of interest(ROI) was selected from each Ginkgo Leaves Tablet, with length and width of 50 pixels, and a total of 2 500 pixels. Each pixel had 288 spectral channels, and the number of content prediction data could reach 1×10~5 for a single sample. The results of the three models showed that the Partial Least Squares(PLS) model had the highest prediction accuracy, with calibration set determination coefficient R_(pre)~2 of 0.987, prediction set determination coefficient R_(pre)~2 of 0.942, root mean square error of calibration(RMSEC) of 0.160%, and root mean square error of prediction(RMSEP) of 0.588%. The classical least-squares(CLS) model had a greater prediction error, with the RMSEP of 0.867%. Multivariate Curve Resolution-Alternating Least Square(MCR-ALS) model showed the worst predictive ability among the three models, and it couldn't realize content prediction. Based on the prediction results of PLS and CLS models, the spatial distribution map of APIs concentration was obtained through three-dimensional data reconstruction. Furthermore, histogram method was used to evaluate the spatial distribution uniformity of API. The data showed that the spatial distribution of APIs in Ginkgo Leaves Tablets was relatively uniform. The study explored the feasibility of visualization of spatial distribution of Ginkgo Leaves Tablets based on three models. The results showed that PLS model had the highest prediction accuracy, and MCR-ALS model had the lowest prediction accuracy. The research results could provide a new strategy for the visualization method of quality control of Ginkgo Leaves Tablets.

Critical quality attribute assessment of big brand traditional Chinese medicine: modular identification of Tongren Niuhuang Qingxin Pills based on efficacy with chemical properties / 中国中药杂志

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.

Critical quality attribute assessment of big brand traditional Chinese medicine: study on NIR field detection method of chemical properties of moisture in Tongren Niuhuang Qingxin Pills / 中国中药杂志

For the field detection problems of critical quality attribute(CQA) of moisture content in traditional Chinese medicine(TCM) manufacturing process, big brand TCM Tongren Niuhuang Qingxin Pills were used as the carrier, to establish a moisture content NIR field detection model with or without cellophane in real world production with use of near infrared(NIR) spectroscopy combined with stoichiometry. With the moisture content determined by drying method as reference value, the partial least square method(PLS) was used to analyze the correlation between the spectrum and the moisture reference value. Then the spectral pretreatment methods were screened and optimized to further improve the accuracy and stability of the model. The results showed that the best quantitative model was developed by the spectral data pretreatment of standard normal variate(SNV) with the latent variable factor number of 2 and 7 of Tongren Niuhuang Qingxin Pills with or without cellophane samples. The prediction coefficient of determination(R_(pre)~2) and standard deviation of prediction(RMSEP) of the model with cellophane samples were 0.765 7 and 0.157 2%; R_(pre)~2 and RMSEP of the model without cellophane samples were 0.772 2 and 0.207 8%. The NIR quantitative models of moisture content of Tongren Niuhuang Qingxin Pills with and without cellophane both showed good predictive performance to realize the rapid, accurate and non-destructive quantitative analysis of moisture content in such pills, and provide a method for the field quality control of the critical chemical attributes of moisture in the manufacturing of big brand TCM.

Critical quality attribute assessment of big brand traditional Chinese medicine: visualization of blending process for rare medicines in Tongren Niuhuang Qingxin Pills based on spatial distribution uniformity / 中国中药杂志

The spatial distribution uniformity of valuable medicines is the critical quality attribute in the process control of Tongren Niuhuang Qingxin Pills. With the real world sample of the mixed end-point powder of Tongren Niuhuang Qingxin Pills as the research object, hyperspectral imaging technology was used to collect a total of 32 400 data points with a size of 180 pix×180 pix. Spectral angle matching(SAM), classical least squares and mixed tuned matched filtering(MTMF) were used to identify the spatial distribution of rare medicines. MTMF model showed higher identification accuracy, therefore the spatial distribution of the blended intermediates was identified based on the MTMF model. The histogram method was also used to evaluate the spatial distribution uniformity of rare medicines. The results showed that the standard deviation was 4.78, 6.5, 3.48, 1.96, and 3.00 respectively for artificial bezoar, artificial musk, Borneol, Antelope horn and Buffalo horn; the variance was 22.8, 42.3, 12.1, 3.82, and 9.00, and the skewness was 1.26, 1.71, 0.06,-0.86, and 1.04, respectively. The final results showed that the most even blending was achieved in concentrated powder of Borneol, Antelope horn and Buffalo horn, followed by artificial bezoar, and last artificial musk. A visualization method was established for quality attributes of distribution uniformity in blending process of Tongren Niuhuang Qingxin Pills. It could provide evidences of quality control methods in the mixing process of big brand traditional Chinese medicine.

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.

The discussion on a proposed quality similarity assessment criteria of rituximab biosimilar / 药学学报

Recently, biosimilar antibodies have become a mainstream component of the biopharmaceutical industry in China. The principle requirements for the development and evaluation of biosimilars are based on proving similarity in product quality (analytical similarity) between a proposed biosimilar candidate and the originator reference drug. However, because the quality of a reference drug often varies during the life cycle and not all reference drug samples are able to collected by a biosimilar sponsor, it has not been practical to accurately determine the critical quality attributes as well as an accurate control range through the characterization of the limited number of reference drug lots that are typically collected. Therefore, the development and evaluation of biosimilars has been challenging both for industry and regulatory agencies. In this article, The Chemistry, Manufacturing and Control (CMC) dossier of the rituximab originator company and the dossiers of 18 biosimilar companieswere retrospectively analyzed. Furthermore, the assessment criteria to determine quality similarity of rituximab biosimilar candidates have been proposed, which criteria have been used by reviewing the physicochemical and biological properties data obtained from 123 lots of the reference drug. Moreover, some case studies have been provided that illustrate the application of the proposed analytical similarity criteria in the practice of drug evaluation.

Effects of the critical quality attribute (cqa) of hypromellose on the release of diclofenac sodium sustained-release tablets in vitro / 中国药学杂志

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.

Optimization of lime milk-sulfuric acid process of Salviae Miltiorrhizae Radix et Rhizoma aqueous concentrate based on quality by design concept / 中草药

Objective: To optimize the lime milk-sulfuric acid process of Salviae Miltiorrhizae Radix et Rhizoma (SMRR) aqueous concentrate in the pretreatment of the manufacture of Danshen Chuanxiongqin Injection (DCI) based on the quality by design (QbD) concept. Methods Fishbone diagram method was applied to conduct preliminary risk assessment of various process parameters in lime milk-sulfuric acid process of SMRR aqueous extracts. Nine potential critical process parameters (CPP), including mass fraction of lime milk, flow rate of the lime milk addition, stirring speed, stirring time after lime milk addition, mass fraction of sulfuric acid, flow rate of the acid addition, stirring time after acid addition, standing time, and standing temperature, were identified. Plackett-Burman (PB) experiment design method was used to further screen the nine potential CPPs. As the result, the mass fraction of lime milk, stirring time after lime milk addition, stirring time after acid addition, and the standing time were filtered as CPPs of the lime milk-sulfuric acid process. A partial least squares regression models of critical process parameters and critical quality attributes were established using the central composite design and the design space methodology. Results: The recommended operation space of the lime milk-sulfuric acid process in the pretreatment of the manufacture of DCI was as follow: mass fraction of lime milk of 12.0%-13.0%, stirring time after lime milk addition of 40-50 min, stirring time after acid addition of 30-35 min, and standing time of 16-20 h. Conclusion: Operation in the design space is helpful to improve the consistency of lime milk-sulfuric acid process. This study is of valuable reference to actual industrial production.

Application of quality by design in granulation process for ginkgo leaf tablet (Ⅱ)： identification of critical quality attributes / 中国中药杂志

Quality by design (QbD) highlights the concept of "begin with the end", which means to thoroughly understand the target product quality first, and then guide pharmaceutical process development and quality control throughout the whole manufacturing process. In this paper, the Ginkgo biloba granules intermediates were taken as the research object, and the requirements of the tensile strength of tablets were treated as the goals to establish the methods for identification of granules' critical quality attributes (CQAs) and establishment of CQAs' limits. Firstly, the orthogonal partial least square (OPLS) model was adopted to build the relationship between the micromeritic properties of 29 batches of granules and the tensile strength of ginkgo leaf tablets, and thereby the potential critical quality attributes (pCQAs) were screened by variable importance in the projection (VIP) indexes. Then, a series of OPLS models were rebuilt by reducing pCQAs variables one by one in view of the rule of VIP values from low to high in sequence. The model performance results demonstrated that calibration and predictive performance of the model had no decreasing trend after variables reduction. In consideration of the results from variables selection as well as the collinearity test and testability of the pCQAs, the median particle size (D₅₀) and the bulk density (Da) were identified as critical quality attributes (CQAs). The design space of CQAs was developed based on a multiple linear regression model established between the CQAs (D₅₀ and Da) and the tensile strength. The control constraints of the CQAs were determined as 170 μm< D₅₀<500 μm and 0.30 g•cm⁻³<Da<0.44 g•cm⁻³ according to the design space, which provided a basis for controlling and optimizing the wet granulation process of the ginkgo leaf tablet..