ABSTRACT
Blending process, which is an essential part of the pharmaceutical preparation, has a direct influence on the homogeneity and stability of solid dosage forms. With the official release of Guidance for Industry PAT, online process analysis techniques have been more and more reported in the applications in blending process, but the research on endpoint detection algorithm is still in the initial stage. By progressively increasing the window size of moving block standard deviation (MBSD), a novel endpoint detection algorithm was proposed to extend the plain MBSD from off-line scenario to online scenario and used to determine the endpoint in the blending process of Chinese medicine dispensing granules. By online learning of window size tuning, the status changes of the materials in blending process were reflected in the calculation of standard deviation in a real-time manner. The proposed method was separately tested in the blending processes of dextrin and three other extracts of traditional Chinese medicine. All of the results have shown that as compared with traditional MBSD method, the window size changes according to the proposed MBSD method (progressively increasing the window size) could more clearly reflect the status changes of the materials in blending process, so it is suitable for online application.
ABSTRACT
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..
ABSTRACT
The pharmaceutical quality was built by design, formed in the manufacturing process and improved during the product's lifecycle. Based on the comprehensive literature review of pharmaceutical quality by design (QbD), the essential ideas and implementation strategies of pharmaceutical QbD were interpreted. Considering the complex nature of Chinese medicine, the "4H" model was innovated and proposed for implementing QbD in pharmaceutical development and industrial manufacture of Chinese medicine product. "4H" corresponds to the acronym of holistic design, holistic information analysis, holistic quality control, and holistic process optimization, which is consistent with the holistic concept of Chinese medicine theory. The holistic design aims at constructing both the quality problem space from the patient requirement and the quality solution space from multidisciplinary knowledge. Holistic information analysis emphasizes understanding the quality pattern of Chinese medicine by integrating and mining multisource data and information at a relatively high level. The batch-to-batch quality consistence and manufacturing system reliability can be realized by comprehensive application of inspective quality control, statistical quality control, predictive quality control and intelligent quality control strategies. Holistic process optimization is to improve the product quality and process capability during the product lifecycle management. The implementation of QbD is useful to eliminate the ecosystem contradictions lying in the pharmaceutical development and manufacturing process of Chinese medicine product, and helps guarantee the cost effectiveness.
ABSTRACT
Traditional identification method is an effective approach to evaluate the quality for Chinese herbal medicine (CHM). Color is one of the important indicators for quality evaluation due to high correlation with quality. Therefore, a new theory of quality control for CHM based on color grading was discussed in this article. The scientific nature of this theory was illustrated by investigating the relation between CHM color, medicinal properties and active compound contents. The effect of origins, collecting time, processing, and storage on the CHM color was also analyzed. To overcome the drawback of the traditional identification method, the novel objective color evaluation methods such as spectrocolorimeter and machine vision technology were reviewed, including the application, advantages and disadvantages in Chinese medicine field, and the significance of color sense digitalization was illustrated finally.
ABSTRACT
The physical properties of both raw materials and excipients are closely correlated with the quality of traditional Chinese medicine preparations in oral solid dosage forms. In this paper, based on the concept of the chemical fingerprint for quality control of traditional Chinese medicine products, the method of physical fingerprint for quality evaluation of traditional Chinese medicine extract powders was proposed. This novel physical fingerprint was built by the radar map, and consisted of five primary indexes (i.e. stackablity, homogeneity, flowability, compressibility and stability) and 12 secondary indexes (i.e. bulk density, tap density, particle size<50 μm percentage, relative homogeneity index, hausner ratio, angle of repose, powder flow time, inter-particle porosity, Carr index, cohesion index, loss on drying, hygroscopicity). Panax notoginseng saponins (PNS) extract was taken for an example. This paper introduced the application of physical fingerprint in the evaluation of source-to-source and batch-to-batch quality consistence of PNS extract powders. Moreover, the physical fingerprint of PNS was built by calculating the index of parameters, the index of parametric profile and the index of good compressibility, in order to successfully predict the compressibility of the PNS extract powder and relevant formulations containing PNS extract powder and conventional pharmaceutical excipients. The results demonstrated that the proposed method could not only provide new insights into the development and process control of traditional Chinese medicine solid dosage forms.
ABSTRACT
Coptis chinensis (Huanglian) is a commonly used traditional Chinese medicine (TCM) herb and alkaloids are the most important chemical constituents in it. In the present study, an isocratic reverse phase high performance liquid chromatography (RP-HPLC) method allowing the separation of six alkaloids in Huanglian was for the first time developed under the quality by design (QbD) principles. First, five chromatographic parameters were identified to construct a Plackett-Burman experimental design. The critical resolution, analysis time, and peak width were responses modeled by multivariate linear regression. The results showed that the percentage of acetonitrile, concentration of sodium dodecyl sulfate, and concentration of potassium phosphate monobasic were statistically significant parameters (P < 0.05). Then, the Box-Behnken experimental design was applied to further evaluate the interactions between the three parameters on selected responses. Full quadratic models were built and used to establish the analytical design space. Moreover, the reliability of design space was estimated by the Bayesian posterior predictive distribution. The optimal separation was predicted at 40% acetonitrile, 1.7 g·mL(-1) of sodium dodecyl sulfate and 0.03 mol·mL(-1) of potassium phosphate monobasic. Finally, the accuracy profile methodology was used to validate the established HPLC method. The results demonstrated that the QbD concept could be efficiently used to develop a robust RP-HPLC analytical method for Huanglian.
Subject(s)
Alkaloids , Bayes Theorem , Chromatography, High Pressure Liquid , Methods , Reference Standards , Chromatography, Reverse-Phase , Methods , Coptis , Chemistry , Drugs, Chinese HerbalABSTRACT
The near-infrared (NIR) spectroscopy for offline monitoring of alcohol extraction process of Salvia miltiorrhiza was investigated, with high performance liquid chromatography (HPLC) determination of value for reference. The partial least squares method was adopted to establish the tanshinone ⅡA quantitative calibration model, so as to detect extraction process of Salvia miltiorrhiza. Because the differences between batches of raw materials may endanger the robustness of the original model, the simple interval calculation (SIC) was applied in updating the near-infrared quantitative model for traditional Chinese medicine extraction process for the first time, and compared with Random Selection (RS) method. SIC's final updating results showed that root mean square with cross validation (RMSECV), root mean square error of prediction (RMSEP) and residual predictive deviation (RPD) of tanshinone ⅡA were 0.006 8 g•L⁻¹, 0.005 4 g•L⁻¹ and 3.14, respectively; but RS' final updating results showed that RMSECV, RMSEP and RPD were 0.006 4 g•L⁻¹, 0.006 8 g•L⁻¹ and 2.50, respectively. This study suggested that SIC is superior to RS, and provided a research foundation for quality control and monitoring of S. miltiorrhiza extraction process in the future.
ABSTRACT
Near-infrared (NIR) diffuse reflectance spectroscopy was used to analyze the impact of multi-class particle size of Chinese material medica (CMM) based on the spectral characteristics in overtone and combination region. Several types of CMM (60, 80, 100,120 mesh) were subjected to NIR spectra analysis. Spectral reproducibility was examined after sample repackage. The result showed that the effects of particle size on the NIR spectra were different according to different bands, in the combination region and first combination-overtone region. Spectroscopy intensity was proportional to the particle size and influence of particle size was greater as the wavelength increased. While in the second combination-overtone region, it was inversely proportional to particle size. To the sampling loading error, the result indicated that when the mesh number was larger than 60 mesh, the error was small. The appropriate particle size was clarified to guarantee the accuracy and reliability of NIR diffuse reflectance spectroscopy in CMM.
Subject(s)
Drugs, Chinese Herbal , Materia Medica , Particle Size , Spectroscopy, Near-Infrared , MethodsABSTRACT
Chinese patent orthopedic medicines feature complex components, mainly including desperate and toxic herbal pieces, narrow safety window, more clinical contraindications and frequent adverse drug reaction/events (ADR/ADE). To study the general safe medication regularity of Chinese patent orthopedic medicines, define key points in the medication education and ensure rational clinical medication, the authors took 80 types of commonly used Chinese patent orthopedic medicines as the study objects, collect 237 cases from 164 ADR/ADE documents through a system retrieval strategy, make a multidimensional literature analysis to determine the common risk factors for safe and rational medication of Chinese patent orthopedic medicines and establish an ADR/ADE prevention regularity. First, in the aspect of clinical symptoms, skin allergy is the most common ADR/ADE and closely related to the toxic ingredients, particularly accumulated liver or kidney damage caused by some drugs. Second, there are three time nodes in the ADR/ADE occurrence; The ADR/ADE occurred in 30 minutes is closely related to the idiosyncrasy; the ADR/ADE occurred between several months and half a year is related to the drug-induced liver and kidney damages; The most common ADR/ADE was observed within 7 days and predictable according to the pharmacological actions; Third, toxicity is an important factor in the occurrence of ADR/ADE of Chinese patent orthopedic medicines. Fourth, emphasis shall be given to the special medication factors, such as the combination with western medicines and Chinese herbal decoctions, overdose and long-course medication and self-medical therapy. In conclusion, the general ADR/ADE prevention regularity for Chinese patent orthopedic medicines was summarized to provide supports for clinicians in safe and rational medication and give the guidance for pharmacist in medication education.
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , Bone Diseases , Drug Therapy , Drug-Related Side Effects and Adverse Reactions , Drugs, Chinese Herbal , Therapeutic Uses , Nonprescription Drugs , OrthopedicsABSTRACT
The definition of critical quality attributes of Chinese materia medica ( CMM) was put forward based on the top-level design concept. Nowadays, coupled with the development of rapid analytical science, rapid assessment of critical quality attributes of CMM was firstly carried out, which was the secondary discipline branch of CMM. Taking near infrared (NIR) spectroscopy as an example, which is a rapid analytical technology in pharmaceutical process over the past decade, systematic review is the chemometric parameters in NIR model evaluation. According to the characteristics of complexity of CMM and trace components analysis, a multi-source information fusion strategy of NIR model was developed for assessment of critical quality attributes of CMM. The strategy has provided guideline for NIR reliable analysis in critical quality attributes of CMM.
Subject(s)
Materia Medica , Reference Standards , Medicine, Chinese Traditional , Reference Standards , Spectroscopy, Near-Infrared , MethodsABSTRACT
Near-infrared (NIR) was used as rapid analysis method to identify the sulfur fumigated Puerariae Lobatae Radix. NIR spectra of the cross-sectional and longitudinal selection of samples were acquired. Principal component analysis was conducted. The samples were randomly selected. The different pretreatment methods were compared. Discriminant models were established for every type of spectra to calculate the recognition rate. The orthogonal test and nonparametric test were used to test data normality. The result showed that absorbance values of different sections were different due to the different structure, and the raw spectra were analyzed by PCA method. The result founded that the cumulative contribution rate was arrived at 99.2% while the PC numbers were arrived at 3. The pretreatment method based on the MSC + 1D + Savitzky-Golay was the best to establish the model. For the 50 models constructed with cross-section and longitudinal spectra and total spectra, the recognition rate were (94.4 ± 0.66)%, (94.4 ± 0.66)%, (95.3 ± 0.65)%, respectively, and no difference was observed. The NIR method could be used to identify the sulfur fumigated Puerariae Lobatae Radix.
Subject(s)
Chemistry, Pharmaceutical , Methods , Discriminant Analysis , Drugs, Chinese Herbal , Chemistry , Fumigation , Pueraria , Chemistry , Spectroscopy, Near-Infrared , Sulfur , ChemistryABSTRACT
The laser-induced breakdown spectroscopy (LIBS) was applied to perform a qualitative elementary analysis on four precious Tibetan medicines, i. e. Renqing Mangjue, Renqing Changjue, 25-herb coral pills and 25-herb pearl pills. The specific spectra of the four Tibetan medicines were established. In the experiment, Nd: YAG and 1 064 nm-baseband pulse laser were adopted to collect the spectra. A laser beam focused on the surface of the samples to generate plasma. Its spectral signal was detected by using spectrograph. Based on the National Institute of Standard and Technology (NIST) database, LIBS spectral lines were indentified. The four Tibetan medicines mainly included Ca, Na, K, Mg and other elements and C-N molecular band. Specifically, Fe was detected in Renqing Changjue and 25-herb pearl pills; heavy mental elements Hg and Cu were shown in Renqing Mangjue and Renqing Changjue; Ag was found in Renqing Changjue. The results demonstrated that LIBS is a reliable and rapid multi-element analysis on the four Tibetan medicines. With Real-time, rapid and nondestructive advantages, LIBS has a wide application prospect in the element analysis on ethnic medicines.
Subject(s)
Calcium , Copper , Iron , Lasers , Medicine, Tibetan Traditional , Mercury , Silver , Spectrum Analysis , MethodsABSTRACT
In this paper, the process performance indexes (PPIs) P(p) and P(pk) were introduced and applied to evaluate the process capability and quality consistence of Chinese medicine products. The historical quality analysis data of Qingkailing injection were collected and taken as the research object. The confidence intervals of P(p) and P(pk) were estimated based on the Bootstrap sampling methods. Results showed that the value and width of the confidence interval P(p) of were smaller that of P(pk) suggesting that the P(pk) index was more sensitive than P(p) in process capability analysis. Within the production period concerned, the P(pk) values estimated from different quality indexes of Qingkailing injection, such as baicalin, cholic acid, geniposide and total nitrogen, were 1.122, 2.055, 1.564 and 0.891, respectively. It could be found that the cholic acid had the highest process capability, followed by the geniposide and baicalin. The total nitrogen had the lowest process capability, indicating that it is necessary to reinforce the quality management of total nitrogen related manufacturing processes. The case studies demonstrate the effectiveness and feasibility of PPIs, which are convenient to be used in production practice of Chinese medicine.
Subject(s)
Chemistry, Pharmaceutical , Methods , Reference Standards , Drugs, Chinese Herbal , Chemistry , Reference Standards , Injections , Quality ControlABSTRACT
It has been reported that hyperspectral data could be employed to qualitatively elucidate the spatial composition of tablets of Chinese medicinal plants. To gain more insights into this technology, a quantitative profile provided by near infrared (NIR) spectromicroscopy was further studied by determining the glycyrrhizic acid content in licorice, Glycyrrhiza uralensis. Thirty-nine samples from twenty-four different origins were analyzed using NIR spectromicroscopy. Partial least squares, interval partial least square (iPLS), and least squares support vector regression (LS-SVR) methods were used to develop linear and non-linear calibration models, with optimal calibration parameters (number of interval numbers, kernel parameter, etc.) being explored. The root mean square error of prediction (RMSEP) and the coefficient of determination (R(2)) of the iPLS model were 0.717 7% and 0.936 1 in the prediction set, respectively. The RMSEP and R(2) of LS-SVR model were 0.515 5% and 0.951 4 in the prediction set, respectively. These results demonstrated that the glycyrrhizic acid content in licorice could barely be analyzed by NIR spectromicroscopy, suggesting that good quality quantitative data are difficult to obtain from microscopic NIR spectra for complicated Chinese medicinal plant materials.
Subject(s)
Calibration , Drugs, Chinese Herbal , Chemistry , Glycyrrhiza , Chemistry , Glycyrrhizic Acid , Least-Squares Analysis , Microscopy , Methods , Spectroscopy, Near-Infrared , MethodsABSTRACT
The on-line monitor for the changes in the content of baicalin in Scutellariae Radix formula particles during the extraction process was conducted by using near infrared spectroscopy (NIR). High performance liquid chromatography (HPLC) was used as a reference method. Kennard-Stone (KS) was used to divide sample sets, so as to compare different pretreatment methods. The synergy interval partial least squares (SiPLS) was used to screen out modeling wave band to establish partial least-squares models. The relative error method was applied to predict forecast set samples of Scutellariae Radix in three extraction phases. The results showed that the model established by Savitzky-Golay smoothing with 11 points (SG11 points) was the best, with the root mean square with cross validation (RMSECV), root mean square error of correction (RMSEC) and root mean square error of prediction (RMSEP) of baicalin of 0.092 7, 0.134 4 and 0.114 8, respectively, the determination coefficient R2 of greater than 0.99, and the relative error of baicalin content of less than 5%. This indicates that the on-line near infrared reflectance spectroscopy could be applied in on-line monitor and quality control of the extraction process of Scutellariae Radix formula particles.
Subject(s)
Automation , Methods , Drugs, Chinese Herbal , Chemistry , Reference Standards , Quality Control , Scutellaria baicalensis , Chemistry , Spectroscopy, Near-Infrared , MethodsABSTRACT
The philosophy of quality by design (QbD) is now leading the changes in the drug manufacturing mode from the conventional test-based approach to the science and risk based approach focusing on the detailed research and understanding of the production process. Along with the constant deepening of the understanding of the manufacturing process, the design space will be determined, and the emphasis of quality control will be shifted from the quality standards to the design space. Therefore, the establishment of the design space is core step in the implementation of QbD, and it is of great importance to study the methods for building the design space. This essay proposes the concept of design space for the production process of traditional Chinese medicine (TCM) preparations, gives a systematic introduction of the concept of the design space, analyzes the feasibility and significance to build the design space in the production process of traditional Chinese medicine preparations, and proposes study approaches on the basis of examples that comply with the characteristics of traditional Chinese medicine preparations, as well as future study orientations.
Subject(s)
Desiccation , Drug Compounding , Methods , Feasibility Studies , Medicine, Chinese Traditional , Methods , Risk , Temperature , Time FactorsABSTRACT
<p><b>OBJECTIVE</b>To analyze chlorogenic acids contained in Lonicera japonica water extracts, and to investigate the regularity of changes in chlorogenic acids during the water extraction process.</p><p><b>METHOD</b>Agilent Zorbax SB-C18 analytical column (4.6 mm x 250 mm, 5 microm) was eluted with 0.1% formic acid (A)-acetonitrile (B) as the mobile phase at a flow rate of 0.5 mL x min(-1). The detection wavelength was 327 nm and the column temperature was 30 degrees C. Negative MS(n) mode was adopted in mass spectrum for ananlyzing the 22 samples of L. japonica water extracts.</p><p><b>RESULT</b>Caffeic acid and six organic acids were accurately identified from the water extracts. During the extraction, the contents of chlorogenic acid and 3,5-dicaffeoylquinic acid became stable or gradually decreased after reaching the highest value. The contents of other components had long been increasing, but with a decreasing rate of change.</p><p><b>CONCLUSION</b>This study provides basis for improving the production process of traditional Chinese medicine preparations containing L. japonica.</p>
Subject(s)
Chlorogenic Acid , Chemistry , Chromatography, High Pressure Liquid , Methods , Drugs, Chinese Herbal , Chemistry , Lonicera , Chemistry , Molecular Structure , Spectrometry, Mass, Electrospray Ionization , Methods , Tandem Mass Spectrometry , MethodsABSTRACT
<p><b>OBJECTIVE</b>To analyze characterization and determination of nitrogen in the preparation of Qingkailing injection and its intermediate products.</p><p><b>METHOD</b>Hitich amino acid auto analyzer was used, with the packed analysis column (2.6 mm x 50 mm) and the type of was Hitich 2622 SC resin. The speed of buffer solution and ninhydrin colorimetric solution were 0.4 mL x min(-1) and 0. 3 mL x min(-1) respectively. Program heating was used for controlling column temperature, from 57 degrees C (0.0 min) to 65 degrees C (36 min) to 57 (50 min). The reaction temperature was set at 130 degrees C.</p><p><b>RESULT</b>Free and binding amino acid the existenceare the main form of nitrogen is amino acid in Qingkailing injection and its intermediate products. The total contents of amino acid in the preparation of Qingkailing injection and its intermediate products, including hydrolyzed solution which is made from neutralization of Concha Margaritifera solution extracted by diluted sulfuric acid and Cornu Bubali solution extracted by diluted sodium hydroxide, aqueous solution of Radix Isatidis extract, 4-blended solution, 6-blended solution and 8-blenede solution, were 59.56%, 24.88%, 41.84%, 13.49, 14.63% respectively. The type of bonded amino acid was founded in the preparation of Qingkailing injection and its intermediate products, including hydrolyzed aqueous solution of Radix Isatidis extract, 4-blended solution, 6-blended solution and 8-blenede solution, and the contents were 9.33%, 15.07%, 16.85%, 19.94% and 19.55%, respectively.</p><p><b>CONCLUSION</b>The main resource of the total nitrogen was Bubalus bubalis L. and Isatis indigotica Fort.</p>