Quality evaluation of Dalbergiae Odoriferae Lignum by HPLC fingerprint and multi-component quantitative analysis / 中国中药杂志

The present study detected the component content in Dalbergiae Odoriferae Lignum by HPLC fingerprint and the multi-component determination method. HPLC analysis was performed on the Agilent ZORBAX SB-C_(18) column(4.6 mm×250 mm, 5 μm). Acetonitrile-0.5% phosphoric acid aqueous solution with gradient elution was employed as the mobile phase. The flow rate was 1.0 mL·min~(-1) and the column temperature was maintained at 30 ℃. The detection wavelength was 210 nm and the sample volume was 10 μL. The similarity of 18 batches of Dalbergiae Odoriferae Lignum was 0.343-0.779, indicating that there were great differences between different batches of Dalbergiae Odoriferae Lignum. Eighteen common peaks were identified, including eight flavonoids such as liquiritigenin and latifolin. The mass fractions of liquiritigenin, luteolin, naringenin, isoliquiritigenin, formononetin, dalbergin, latifolin, and pinocembrin were in the ranges of 0.134 1%-0.495 2%, 0.028 2%-0.167 0%, 0.016 3%-0.591 3%, 0.053 5%-0.188 0%, 0.142 4%-0.640 1%, 0.068 0%-0.590 7%, 0.003 2%-1.980 7%, and 0.009 6%-0.740 2%, respectively. Eighteen batches of Dalbergiae Odoriferae Lignum were divided into three categories by cluster analysis and eight differential components in Dalbergiae Odoriferae Lignum were marked by partial least-squares discriminant analysis(PLS-DA). The cumulative variance contribution rate was 90.5%. The HPLC fingerprint combined with the multi-component determination method for Dalbergiae Odoriferae Lignum is easy in operation and accurate in results, with good repeatability and reliability. The quality of Dalbergiae Odoriferae Lignum can be evaluated and analyzed by the PLS-DA model. This study is expected to provide a reference for the quality control and clinical application of Dalbergiae Odoriferae Lignum.

Comparative study of rat serum pharmacochemistry between Puerariae Lobatae Radix and Puerariae Thomsonii Radix based on UPLC-Q-TOF-MS / 中国中药杂志

UPLC-Q-TOF-MS and serum pharmacochemistry were employed to study the migrating components in rat sera after intragastric administration of the water extracts of Puerariae Lobatae Radix(PLR) and Puerariae Thomsonii Radix(PTR). After the respective intragastric administration of PLR and PTR extracts, blood samples were collected from the orbital vein. The serum samples were treated by protein precipitation method with methanol and acetonitrile at a ratio of 1∶1 and then passed through Agilent ZORBAX RRHD SB-C_(18) column(3 mm×100 mm, 1.8 μm) and Agilent SB-C_(18) pre-column(3 mm×5 mm, 1.8 μm) with 0.1% formic acid aqueous solution(A)-acetonitrile(B) as the mobile phase. The elution was performed at the flow rate of 0.25 mL·min~(-1), the column temperature of 40 ℃, and the injection volume of 2 μL. By comparison of the total ion chromatogram and secondary fragment ion information of PLR and PTR water extracts, PLR-and PTR-containing sera, and blank serum, we found 42 migrating components(including 17 prototype components and 25 metabolites) in the sera of rats treated with PLR and 35 migrating components(including 15 prototype components and 20 metabolites) in the sera of rats treated with PTR. Thirty-three common components were shared by the two treatments, including 13 prototype components and 20 metabolites. The differences of migrating components in the PLR-and PTR-treated rat sera provide a scientific basis for further study of the active components and quality markers of PLR and PTR.

Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death / 法医学杂志

In the field of forensic medicine, diagnosis of sudden cardiac death is limited by subjective factors and manual measurement methods, so some parameters may have estimation deviation or measurement deviation. As postmortem CT imaging plays a more and more important role in the appraisal of cause of death and cardiopathology research, the application of deep learning such as artificial intelligence technology to analyze vast amounts of cardiac imaging data has provided a possibility for forensic identification and scientific research workers to conduct precise diagnosis and quantitative analysis of cardiac diseases. This article summarizes the main researches on deep learning in the field of cardiac imaging in recent years, and proposes a feasible development direction for the application of deep learning in the virtual anatomy of sudden cardiac death at present.

Application of improved TOPSIS based on entropy weight to evaluating township health education program / 预防医学

Objective To explore a more objective scheme for comprehensive evaluation of township health education program. Methods Based on the indicators and grading results of 17 township hospitals (named from A to Q) in Xiangshan County, we calculated the weight of each indicator by entropy weight method and sorted the township hospitals by the improved TOPSIS. Then we compared the ranking with the annual assessment results in 2017 to verify the rationality of this scheme. Results The entropy weights of"printed materials of health education","play of audio-visual materials","health education bulletin board","public health consultation" ,"health knowledge lecture" ,"individualized health education" and"awareness rate of health knowledge"were 0.122 0, 0.125 3, 0.134 6, 0.157 2, 0.157 0, 0.179 8 and 0.124 1, respectively. Through the improved TOPSIS, 17 hospitals were sorted as follows: P, L, O, C, G, A, H, N, B, E, M, Q, K, J, F, D, I. Compared with the annual assessment rankings which were P, L, A, C, B, O, G, H, K, N, D, E, M, J, I, F, Q, thirteen of them were different. Conclusion "Printed materials of health education","awareness rate of health knowledge" and"play of audio-visual materials" have little room for improvement, while"individualized health education" should be focused on in the future. The improved TOPSIS based on entropy weight could objectively evaluate the quality of health education service.

Isopropyl myristate molecular gels and drug-loaded transdermal capability / 药学学报

<p><b>AIM</b>To prepare of isopropyl myristate (IPM) molecular gels and investigate of its transdermal capability.</p><p><b>METHODS</b>Microstructure of IPM gels was studied by scanning electron microscope (SEM) and optical microscope (OM). The rheology and thixotropy of IPM gels were investigated by viscosity. Triptolide was used as model drug to investigate its transdermal capability.</p><p><b>RESULTS</b>The microstructure of IPM gels was a three-dimension network formed by the aggregation of Span 60 in IPM, which was rod-like tubular aggregate. It has good rheology and thixotropy. There was a good linear correlation between the accumulative permeated amount per unit area and the time for triptolide-loaded IPM gels. The permeation process agreed with zero order pharmacokinetics. The average permeability through rat skin for triptolide was 19.26 ng x cm(-2) x h(-1), which was 2.92 times of triptolide unguents obtained commercially available.</p><p><b>CONCLUSION</b>Isopropyl myristate molercular gel can be formed by span 60 assemblies. Transdermal capability drug-loaded IPM gels was better than that of triptolide unguents.</p>