Application of binomial distribution-based statistical process control method in blood quality control / 中国输血杂志

【Objective】 This study endeavors to introduce the statistical process control (SPC) method to analyze the quality control index concerning red blood cells in additive solution with leukocytes reduced, with the aspiration to advance the effective utilization of blood quality control data, thereby providing empirical foundations for the continual enhancement of blood quality. 【Methods】 Between 2020 and 2022, test data pertaining to the quality control index of red blood cells in additive solution with leukocytes reduced were amassed from six blood stations in Chongqing area. Utilizing Minitab software, the SPC analysis was carried out, p-control charts were delineated, the non-conformance rates of each quality control index along with their 95% confidence intervals were computed, as well as the Process Capability Index (Z value). 【Results】 In accordance with the Whole Blood and Blood Components Quality Requirements, the appraisal of the quality control indexes for red blood cells in additive solution with leukocytes reduced manifested a conformity rate of 100% for appearance, end-of-storage hemolysis rate and sterility test. Nonetheless, the conformity rates for volume, hemoglobin, hematocrit and residual leukocytes did not attain 100%, albeit all were ≥75%. Through the employment of binomial distribution-based p-control charts, the controlled state of the production process was discerned. Although the overarching conformity rate satisfied the national standard stipulations, it was discerned that there were out-of-control points concerning volume, hemoglobin, hematocrit, and residual leukocytes across different institutions, exhibiting palpable trends. The non-conformance rates of all quality control indexes were less than 25%, yet at a 95% confidence level, the residual leukocyte counts from institutions B, C, E, and F did not adhere to the stipulations (exceeding 25%). By architecting the ability evaluation index Z value for count data process capability analysis, it was unveiled that the volume of institution E, the hematocrit of institutions B, C, and F, and the residual leukocytes Z values of all six blood collection and supply institutions were below 2, hinting at avenues for amelioration. 【Conclusion】 The SPC method anchored in binomial distribution exhibits substantial application merit in blood component quality management, facilitating real-time surveillance of blood collection, preparation, and storage procedures.

Statistical process control: machine performance check output variation

Background: The aim of this study was to illustrate and evaluate the use of different statistical process control (SPC) aspects to examine linear accelerator daily output variation through machine performance check (MPC) over a month. Methods: MPC daily output data were obtained over a month after AAPM TG-51 were performed. Baseline data were set, and subsequent data were conducted through SPC. The Shewhart chart was used to determine the upper and lower control limits, whereas CUSUM for subtle changes. Results: The upper and lower control limits obtained via SPC analysis of the MPC data were found to fall within AAPM Task Group 142 guidelines. MPC output variation data were within ±3% of their action limits values and were within 1% over thirty days of data. The process capability ratio and process acceptability ratio, Cp and Cpk values were ?2 for all energies. Potential undetected deviations were captured by the CUSUM chart for photons and electrons beam energy. Conclusions: Control charts were found to be useful in terms of detecting changes in MPC output.

Statistical process control methods for quality inspection of blood component samples: a case study / 中国输血杂志

【Objective】 To explore the analytical methods for detecting data in the process of quality inspection of blood component samples. 【Methods】 The quality inspection data of blood component samples from 2018 to 2022 in our center were collected. Based on the principles of statistical process control, control charts were created using Minitab software to analyze key test items. 【Results】 The P control chart was used to analyze the pass rate of platelet content and revealed one out-of-control point. The normality test was performed on plasma protein content to analyze the causes of data fluctuations for further improvement. The mean and range control chart was utilized for hematocrit measurement, with abnormal data trends detected. Further analysis of the normality test and process capability analysis was conducted, resulting in a Cpk value of 0.67. 【Conclusion】 By applying statistical process control methods, the study employed P control charts to analyze count data in the quality inspection of blood component samples, conducted normality tests for measurement data, and utilized mean and range control charts to identify abnormal data trends. For data conforming to a normal distribution, the process capability index (Cpk) was calculated to explore effective monitoring methods for ensuring stability in the blood supply process.

Methodology and application of process analytical technology (PAT) for traditional Chinese medicine manufacturing:a review / 中国中药杂志

Owing to the advancement in pharmaceutical technology, traditional Chinese medicine industry has seen rapid development. Preferring conventional manufacturing mode, pharmaceutical enterprises of traditional Chinese medicine have no effective process detection tools and process control methods. As a result, the quality of the final products mainly depends on testing and the quality is inconsistent in the same batch. Process analytical technology(PAT) for traditional Chinese medicine manufacturing, as one of the key advanced manufacturing techniques, can break through the bottleneck in quality control of medicine manufacturing, thus improving the production efficiency and product quality and reducing the material and energy consumption. It is applicable to the process control and real-time release of advanced manufacturing modes such as intelligent manufacturing and continuous manufacturing. This paper summarized the general idea of PAT for traditional Chinese medicine manufacturing. Through the analysis of the characteristics and status quo of the technology, we summed up the methodology for the continuous application and improvement of PAT during the whole life-cycle of traditional Chinese medicine. The five key procedures(process understanding, process detection, process modeling, process control, and continuous improvement) were summarized, and the application was reviewed. Finally, we proposed suggestions for the technical and regulatory challenges in implementing PAT in traditional Chinese medicine industry. This paper aims to provide a reference for development and application of PAT in advanced manufacturing, intelligent manufacturing, and continuous manufacturing of traditional Chinese medicine industry.

Improvement of high-quality evaluation criteria of Chinese patent medicines based on whole process control / 中国中药杂志

Chinese patent medicines(CPMs) are unique therapeutic drugs in China. Establishing and improving the evaluation criteria is an important measure to promote the high-quality development of CPMs. Based on the "evaluation criteria of high-grade CPMs with quality as the core index" established by our group in 2018, the "high-quality evaluation criteria for CPMs based on whole process control" was proposed in the present study in 2022. The scope of application and basic principles of the new criteria were clarified. A quality evaluation scoring table was established in the new criteria, including five parts: raw material selection, production process, quality control, efficacy evaluation, and brand building. The technical evaluation indexes involved have increased from 20% in the original criteria to 70% in the new criteria, and efficacy evaluation has been added in the new criteria. The subjective evaluation indicators account for a large proportion in the original criteria, which is prone to bias. The improved criteria overcome this shortcoming. It is expected that the new criteria as a basis can play a better role in the selection of high-quality products of CPMs, guide enterprises and institutions to participate actively in the evaluation and research of high-quality CPMs, and promote the high-quality development of CPMs.

Study on the sensitivity of a volumetric modulated arc therapy plan verification equipment on multi-leaf collimator opening and closing errors and its gamma pass rate limit / 生物医学工程学杂志

To investigate the γ pass rate limit of plan verification equipment for volumetric modulated arc therapy (VMAT) plan verification and its sensitivity on the opening and closing errors of multi-leaf collimator (MLC), 50 cases of nasopharyngeal carcinoma VMAT plan with clockwise and counterclockwise full arcs were randomly selected. Eight kinds of MLC opening and closing errors were introduced in 10 cases of them, and 80 plans with errors were generated. Firstly, the plan verification was conducted in the form of field-by-field measurement and true composite measurement. The γ analysis with the criteria of 3% dose difference, distance to agreement of 2 mm, 10% dose threshold, and absolute dose global normalized conditions were performed for these fields. Then gradient analysis was used to investigate the sensitivity of field-by-field measurement and true composite measurement on MLC opening and closing errors, and the receiver operating characteristic curve (ROC) was used to investigate the optimal threshold of γ pass rate for identifying errors. Tolerance limits and action limits for γ pass rates were calculated using statistical process control (SPC) method for another 40 cases. The error identification ability using the tolerance limit calculated by SPC method and the universal tolerance limit (95%) were compared with using the optimal threshold of ROC. The results show that for the true composite measurement, the clockwise arc and the counterclockwise arc, the descent gradients of the γ passing rate with per millimeter MLC opening error are 10.61%, 7.62% and 6.66%, respectively, and the descent gradients with per millimeter MLC closing error are 9.75%, 7.36% and 6.37%, respectively. The optimal thresholds obtained by the ROC method are 99.35%, 97.95% and 98.25%, respectively, and the tolerance limits obtained by the SPC method are 98.98%, 97.74% and 98.62%, respectively. The tolerance limit calculated by SPC method is close to the optimal threshold of ROC, both of which could identify all errors of ±2 mm, while the universal tolerance limit can only partially identify them, indicating that the universal tolerance limit is not sensitive on some large errors. Therefore, considering the factors such as ease of use and accuracy, it is suggested to use the true composite measurement in clinical practice, and to formulate tolerance limits and action limits suitable for the actual process of the institution based on the SPC method. In conclusion, it is expected that the results of this study can provide some references for institutions to optimize the radiotherapy plan verification process, set appropriate pass rate limit, and promote the standardization of plan verification.

Patent application of intelligent quality control technology in traditional Chinese medicine production process: a review / 中国中药杂志

In the new stage for intelligent manufacturing of traditional Chinese medicine(TCM) from pilot demonstration to in-depth application and comprehensive promotion, how to raise the degree of intelligence for the process quality control system has become the bottleneck of the development of TCM production process control technology. This article has sorted out 226 TCM intelligent manufacturing projects that have been approved by the national and provincial governments since the implementation of the "Made in China 2025" plan and 145 related pharmaceutical enterprises. Then, the patents applied by these pharmaceutical enterprises were thoroughly retrieved, and 135 patents in terms of intelligent quality control technology in the production process were found. The technical details about intelligent quality control at both the unit levels such as cultivation, processing of crude herbs, preparation pretreatment, pharmaceutical preparations, and the production workshop level were reviewed from three aspects, i.e., intelligent quality sensing, intelligent process cognition, and intelligent process control. The results showed that intelligent quality control technologies have been preliminarily applied to the whole process of TCM production. The intelligence control of the extraction and concentration processes and the intelligent sensing of critical quality attributes are currently the focus of pharmaceutical enterprises. However, there is a lack of process cognitive patent technology for the TCM manufacturing process, which fails to meet the requirements of closed-loop integration of intelligent sensing and intelligent control technologies. It is suggested that in the future, with the help of artificial intelligence and machine learning methods, the process cognitive bottleneck of TCM production can be overcome, and the holistic quality formation mechanisms of TCM products can be elucidated. Moreover, key technologies for system integration and intelligent equipment are expected to be innovated and accelerated to enhance the quality uniformity and manufacturing reliability of TCM.

Application progress on data-driven technologies in intelligent manufacturing of traditional Chinese medicine extraction / 中国中药杂志

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.

Research on monitoring method of dripping pills dripping process based on laser detection and multivariate data analysis technology / 药学学报

At present, the digitalization and intelligence level of dripping pills production process is low, and there is a lack of process monitoring methods, which makes it difficult to effectively control the quality of dripping pills. Therefore, this paper proposed an online monitoring method for the dripping process of dripping pills based on laser detection technology and multivariate data analysis (MVDA) technology. Firstly, the width data of the falling droplets during the dripping process of the dripping pills were collected by the laser detector at a high frequency. Secondly, based on the width data, the nodes were selected for each droplet and the features were extracted. Then, the principal component analysis (PCA) model was established based on the feature dataset under normal process conditions, and Hotelling's T2 or DModX statistic was selected to determine whether the droplets in the dripping process were abnormal, and the abnormalities were classified and diagnosed by the principal component score map combined with K-nearest neighbor (KNN) algorithm. In this study, the feasibility of this method was investigated by taking the dripping process of Ginkgo biloba leaf dripping pills as an example. The results showed that the obtained model has good detection and diagnosis ability for abnormal valve opening, abnormal liquid temperature, and abnormal liquid volume. This method can provide some reference for the industrial production of dripping pills.

Loss sampling methods for soybean mechanical harvest

Harvesting is one of the most important stages of the agricultural production process. However, the lack of monitoring during this operation and the absence of efficient methodologies to quantify losses have contributed to the decline in the quality of the operation. The objective of this study was to monitor mechanized soybean harvest by quantifying losses through two methodologies using statistical process control. The study was conducted in March 2016 in an agricultural area in the municipality of Ribeirão Preto, SP, using a John Deere harvester model 1470 with a tangential-type track system and separation by a straw-blower. The experimental design followed the standards established by statistical process control, and every 8 min of harvest, the total losses by the circular framework and rectangular framework methodologies were simultaneously quantified, totaling 40 points. Data were analyzed using descriptive statistics and statistical process control. The averages of the circular methodology framework were values above those found in the rectangular methodology framework, presenting greater representativeness of losses. The process was considered unable to maintain losses of soybeans at acceptable levels during mechanical harvest throughout the operation of the two frameworks. The circular framework for collecting samples at different locations resulted in higher reliability of data.

Analysis of contaminated microorganisms in commercial honey / 上海预防医学

Objective To investigate the microbial contamination in 54 batches of commercial honey. Methods Aerobic plate colony counts for bacteria and colonies of mould and osmophilic yeasts in honey were determined according to the National Food Safety Standard. The bacteria and fungi in unqualified samples were further identified and analyzed by morphology， MALDI-TOF-MS and large subunit （LSU） rRNA gene sequence. Results Three unqualified batches were found. One batch had aerobic plate colony counts exceeding the standard， with a variety of bacteria including Bacillus sp.， Paenibacillus sp. and Brevibacillus sp. Two batches had mould counts exceeding the standard. Aspergillus sp was detected in both samples （from the same manufacturer）， and the DNA sequence homology was very high， suggesting the mould might come from the same pollution source. Conclusion There are many kinds of microbial contamination in honey. Manufacturers should strengthen the microbe control in monitoring process to avoid the repeated microbial contamination.

An Overview of Fermentation Technology Evolution and Process Control of Sojae Semen Praeparatum / 中国实验方剂学杂志

The historical evolution， fermentation technology and key links of Sojae Semen Praeparatum （SSP） were sorted out by consulting ancient books and modern literature， and the influencing factors and control methods of quality were analyzed and summarized in order to provide reference for the quality control of SSP. After analysis， it was found that in the fermentation process of SSP， fermentation strains， miscellaneous bacteria， temperature and humidity were all important factors affecting the quality of SSP. The condition control of "post fermentation" process has been paid more attention to in the past dynasties. In addition， the delicious SSP recognized in ancient times should be made from mold fermentation， and the breeding and application of fermented mold may be the key point to solve the quality problem of SSP. Therefore， based on the evaluation indexes of SSP in the past dynasties， it is of great significance to study and optimize the technological conditions such as strain， temperature and humidity in depth to improve the quality of SSP.

A strategy for population pharmaceutical quality assessment based on quality by design / 药物分析学报

From a regulatory perspective,drug quality consistency evaluation must concern different processes used for the same drug.In this study,an assessment strategy based on quality by design(QbD)was developed for population pharmaceutical quality evaluation.A descriptive analysis method based on QbD concept was first established to characterize the process by critical evaluation attributes(CEAs).Then quantitative analysis method based on an improved statistical process control(SPC)method was established to investigate the process indicators(PIs)in the process population,such as mean distri-bution,batch-to-batch difference and abnormal quality probability.After that rules for risk assessment were established based on the SPC limitations and parameters.Both the SPC parameters of the CEAs and the risk of PIs were visualized according to the interaction test results to obtain a better understanding of the population pharmaceutical quality.Finally,an assessment strategy was built and applied to generic drug consistency assessment,process risk assessment and quality trend tracking.The strategy demon-strated in this study could help reveal quality consistency from the perspective of process control and process risk,and further show the recent development status of domestic pharmaceutical production processes.In addition,a process risk assessment and population quality trend tracking provide data-based information for approval.Not only can this information serve as a further basis for decision-making by the regulatory authority regarding early warnings,but it can also reduce some avoidable adverse reactions.With continuous addition of data,dynamic population pharmaceutical quality is meaningful for emergencies and decision-making regarding drug regulation.

Critical quality attribute assessment of big brand traditional Chinese medicine: quality control of Tongren Niuhuang Qingxin Pills in texture and sensory attributes / 中国中药杂志

Texture sensory attributes are the key items in quality control of Chinese medicinal honeyed pills. The purpose of this study is to develop a quality control method for assessing the texture sensory attributes of Chinese medicinal honeyed pills based on real-world Tongren Niuhuang Qingxin pilular masses and finished products. First, parameters of texture profile analysis(TPA) were optimized through single factor and central composite design(CCD) experiments to establish a detection method for texture sensory attri-butes of Tongren Niuhuang Qingxin Pills. The results showed that the established detection method was stable and reliable, with the optimal parameters set up as follows: deformation percentage of 70%, detection speed at 30 mm·min~(-1), and interval time of 15 s. Furthermore, 540 data points yielded form six texture sensory attributes of pills from 30 batches were subjected to multivariate statistical process control(MSPC) with Hotelling T~2 and squared prediction error(SPE) control charts to establish the quality control method of Tongren Niuhuang Qingxin Pills. This study is expected to provide a reference for improving the quality control system of Chinese medicinal honeyed pills.

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.

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.

Theories and perspectives of patient-based real-time quality control system in the laboratory / 中华检验医学杂志

Taking advantage of current advancements of the laboratory information system, patient-based real-time quality control (PBRTQC) has become a hot research topic with the potential of significantly improving the quality of clinical laboratories. PBRTQC has several advantages over conventional internal quality control, including the merit of continuous error detection, low maintenance cost, and no fear of loss of quality control due to commutability issue. This review summarized the recent research progress in PBRTQC. The review described the fundamental theories of PBRTQC and explained how to implement PBRTQC in clinical laboratories in detail. The review also provided prospective view on how to solve the current problems and what are the future research directions of PBRTQC.

The big data diagnosis-intervention packet payment method: experience from Shanghai and Guangzhou / 中华医院管理杂志

Medical insurance payment model is transforming from project-based purchases to service bundle-based strategic purchases. The new form of bundled purchases should found on a scientifically-led design process of such bundles. The core to bundled purchase would be the payment standard, and the key to its success would be process control. Establishment of such a foundation, a core, and a key, would promote the current price standards, and lead service providers to a standardized medical service standard, so as to ensure a precise rewarding system of payment and service. The big data diagnosis-intervention packet(DIP)is able to fulfill mentioned ambitions by integrating insurance payment and supervision into one management. DIP is a full-process payment mode that encompasses pre-service estimation, in-service process control, post-service grading, and resource allocation. It is an innovative practice in line with China′s national conditions for the modern governance of medical security and medical services.

Discussions on the cost control of medical consumables in the current healthcare reform / 中华医院管理杂志

With the deepening of China′s healthcare reform, cost control of medical consumables has become an important means to alleviate the problem of " high medical cost" . Through analysis of the difficulties of medical consumables cost control and mechanism loopholes in such control, the authors proposed a whole-process control practice, in terms of assessment, procurement, use, supervision, assessment and evaluation, and recommend on formulating whole-process cost control measures at both government and hospital levels.

Application of Statistical Process Control in Evaluation of Performance for Beam-matched Medical Electron Linacs / 中国医疗器械杂志

Clinically, beam matching can greatly improve the flexibility and efficiency of treating patients between different medical electron linacs. However, in addition to the regular quality assurance (QA) test of the machine performance of linacs, there is still a lack of comprehensive evaluation of the clinical radiotherapy performance of beam-matched linacs. In this paper, the performance of volumetric modulated arc therapy (VMAT) between three closely matched linacs was evaluated by statistical process control (SPC) technology. It was found that the average and median γ passing rates of the VMAT QA processes of the three linacs had little difference, but the process capability levels were at three different levels. The results show that SPC technology can effectively evaluate the performance of beam matching for medical electron linacs, improve the patient-specific VMAT QA processes, and guide clinical decision-making.