Evaluation of the key ingredient from the main production areas of Phellodendri Amurensis Cortex using ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry and ultra-high-performance liquid chromatography coupled to triple-quadrupole mass spectrometry.

Phellodendri Amurensis Cortex (PAC) is a medicinal herb that has been generally used to treat diarrhea and jaundice. In order to comprehensively evaluate the PAC in the main production areas quality, a qualitative and quantitative method with highly effective, sensitive, and reliable was developed. The chemical compositions of PAC were analyzed, and fingerprints were established by ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS). Then, the determination of berberine, canthin-6-one, dictamnine, γ-fagarine, and magnoflorine from PAC samples was simultaneously performed using UPLC-QQQ-MS. Furthermore, the chemical components of PAC from different regions were compared and analyzed by combining hierarchical cluster analysis, principal component analysis, and orthogonal partial least squares discriminant analysis. A total of 58 compounds were identified, including 36 alkaloids, four phenylpropanoids, seven terpenoids, four flavonoids and their glycosides, an organic acid compound, and six other components. The fingerprint results show that samples have good similarity. Meanwhile, the content of the five ingredients in different habitats is quite different. By multivariate statistical analysis, 18 batches of PAC could be divided into three categories, and 20 components were identified as differential markers of various origins. A comprehensive method of PAC quality evaluation and chemical composition difference analysis was established, which provided the scientific basis for quality evaluation and further pharmacological mechanism research.

Research on Response Parameters and Classification Identification Method of Concrete Vibration Process.

The vibration process applied to fresh concrete is an important link in the construction process, but the lack of effective monitoring and evaluation methods results in the quality of the vibration process being difficult to control and, therefore, the structural quality of the resulting concrete structures difficult to guarantee. In this paper, according to the sensitivity of internal vibrators to vibration acceleration changes under different vibration media, the vibration signals of vibrators in air, concrete mixtures, and reinforced concrete mixtures were collected experimentally. Based on a deep learning algorithm for load recognition of rotating machinery, a multi-scale convolution neural network combined with a self-attention feature fusion mechanism (SE-MCNN) was proposed for medium attribute recognition of concrete vibrators. The model can accurately classify and identify vibrator vibration signals under different working conditions with a recognition accuracy of up to 97%. According to the classification results of the model, the continuous working times of vibrators in different media can be further statistically divided, which provides a new method for accurate quantitative evaluation of the quality of the concrete vibration process.

Research progress in quality research and evaluation of human mesenchymal stem cells / 国际生物医学工程杂志

As adult stem cells, human mesenchymal stem cells (hMSCs) have the potential for self-replication, renewal, and multidirection differentiation. Their unique biological function determines their wide clinical indications. Researchers can define the quality attributes of hMSCs according to clinical expectations. The quality study of hMSCs should consider microbiological safety, biological safety, cell biological properties, and biological effectiveness. Quality evaluation is a common physical, chemical, and biological evaluation method for hMSCs. Traditional product safety evaluation strategies cannot fully adapt to current technology and product usage characteristics. Researchers have developed new, effective evaluation methods based on current technology. In terms of product efficacy evaluation strategies, an efficacy evaluation system has been gradually established and standardized according to the intended clinical use and based on quality studies, which can enable researchers to evaluate hMSCs products more comprehensively at different stages and processes. In this paper, the progress of quality research and evaluation of human mesenchymal stem cells was reviewed to provide a reference for the utilization of stem cells in the field of regenerative medicine.

Chromatographic fingerprint and quality consistency of colistimethate sodium / 中国药科大学学报

@#The UPLC fingerprint of colistimethate sodium was established for the study of quality consistency.The chromatographic column was Acquity UPLC? Peptide CSH C18 (2.1 mm × 150 mm, 1.7 μm).The mobile phase A was phosphate buffer-acetonitrile (19∶1), and the mobile phase B was phosphate buffer-acetonitrile (1∶1).The mobile phase was in gradient elution at a flow rate of 0.3 mL/min.The column temperature was set at 30 °C and the detection wavelength was 210 nm.The similarity of the fingerprints was analyzed with the Similarity Evaluation System for Chromatographic Fingerprint of Tradition Chinese Medicine (Version 2012) in combination with content determination of multiple index components to evaluate the quality consistency of imported and domestic bulk drugs.The result showed that both the original and generic bulk drugs met the specified limit requirements in the European Pharmacopoeia standards, and that their UPLC fingerprints were highly similar, indicating that the quality of the two substances was consistent.Establishing a fingerprint for similarity evaluation and combining it with the results of indicator component content determination as a comprehensive evaluation method for the study of drug quality consistency of complex components has the characteristics of fast, accurate, and comprehensive, which is helpful for drug quality evaluation and provides ideas for the evaluation of antibiotic quality consistency of complex components.

Chemical imaging analysis of active pharmaceutical ingredient in dissolving microneedle arrays by Raman spectroscopy.

The purpose of this study was to develop a quality evaluation method for dissolving microneedle arrays (DMNAs) and determine the spatial distribution pattern of drugs in DMNAs. Raman spectroscopy mapping was used to visualize the drug distribution in DMNAs and drug-loaded polymer films as a model. Powder X-ray diffraction (PXRD) and high-pressure liquid chromatography were also performed to characterize DMNAs. Drug-loaded polymer films and DMNAs were prepared by drying the aqueous solutions spread on the plates or casting. PXRD analysis suggested the crystallization of diclofenac sodium (DCF) in several forms depending on its amount in the sodium hyaluronate (HA)-based films. The Raman spectra of HA and DCF showed characteristic and non-overlapping peaks at 1376 and 1579 cm-1 Raman shifts, respectively. The intensity of the characteristic peak of DCF in the DCF-loaded films increased linearly with the increasing drug content in the range of 4.8 to 16.7% (DCF, w/w). Raman imaging analysis revealed a homogenous dispersion of small DCF crystals in these films. Raman imaging indicates the distribution of DCF on the surface of the DMNA needle. This work highlights the benefit of using Raman spectroscopy mapping to reveal the spatial distribution of drugs in DMNAs.

Quality Evaluation System of Standard Decoction of Puerariae Thomsonii Radix / 中国实验方剂学杂志

Objective: To establish the quality control methods for the standard decoction of Puerariae Thomsonii Radix.Method:According to the preparation principles for traditional Chinese medicine (TCM) standard decoction,13 batches of Puerariae Thomsonii Radix from different origins were analyzed under the chromatography conditions established in this study and verified with methodology.By referring to Chinese Pharmacopoeia of 2015,puerarin was used as a quantitative indicator to calculate the transfer rate.In this study,the structures of main chromatographic peaks were also identified to clarify the main chemical constituents in the standard decoction.Result:The 13 batches of medicinal herbs were identified as Puerariae Thomsonii Radix,with a recovery rate of 98.0%,and RSD of 1.1%,indicating that the method was accurate and reliable.The transfer rate ranged from 41.4% to 60.0%,and the extraction rate was within the range of 15.7%-34.3%.The corresponding fingerprints were prepared for 13 batches of the standard decoction,and their similarities were all greater than 90.0%.The chemical constituents from Puerariae Thomsonii Radix were identified by mass spectrometry analysis,including citric acid,4'-O-glucosyl puerarin/daidzein-4',7-diglucoside,3'-hydroxy puerarin/genistein puerarin,puerarin apioside,daidzin puerossid A and daidzein,etc.Conclusion: The 13 batches of Puerariae Thomsonii Radix decoction in different origins had consistent properties with the basic properties of medicinal decoction pieces.The established method of quality evaluation can be used to systematically evaluate the standard decoction,providing reference for quality control of related decoction preparations of Puerariae Thomsonii Radix.

Study on the quality evaluation method for undergraduate thesis based on discrete Hopfield neural network / 中华医学教育探索杂志

In terms of the poor evaluation system of graduation theses, which is easy to be influenced by many human factors, we try to establish a more scientific and objective evaluation model and method of graduation thesis quality. Firstly, the index system of graduation thesis quality evaluation model was con-structed , including topic selection , professional knowledge level , data collection capacity , ability to use knowledge, level of guidance teacher, and quality of the paper. Secondly, using expert scoring method, combining Matlab programming and applying AHP, the weight of the quality evaluation elements of gradua-tion thesis was obtained, and the key factors affecting the quality level of graduation thesis were determined. Finally, a discrete Hopfield neural network model for the quality level of graduation thesis was established, and 120 graduation theses were selected for quality level simulation evaluation, and compared with the ideal evaluation results. The results showed that the discrete Hopfield neural network model is correct and it can effectively provide objective, scientific and normative evaluation for the quality of graduation theses.