ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

Objective To explore the differences in stress distribution and stability of the planta pedis in the patients with unilateral and bilateral plantar fasciitis(PF)through plantar stress and center of pressure(COP)analysis.Methods A total of 100 patients with PF visiting in this hospital were enrolled,among them 50 cases were unilateral heel pain(unilateral heel pain group)and 50 cases were bilateral heel pain(bilateral heel pain).Meanwhile,50 healthy subjects were included(healthy group).In the health group and bilateral heel pain groups,the average stress value of both planta pedis surfaces of each subject was taken and named as the J0 group and H2 group,respectively.In the unilateral heel pain group,the plantar stress in 50 healthy feet and 50 affected feet were named as the J1 group and H1 group,respectively.The plantar pedis was divided into 10 regions for analysis and comparison[the first foot toe(T1),T2-5,the first-fifth metatarsal bones(M1-M5),the mid foot(MF),heel medial side(MH),heel lateral side(LH)].The subjects in 3 groups conducted the static and dynamic tests respectively,and the differences in plantar stress distribution and COP parameters among the J1,H1,H2 and J0 groups were compared respectively.Results In the static tests,the maximum pressure of the LH regions in the group J1 was increased when compared with the group J0,the contact area of LH regions in the group H1 was reduced when compared with the group J0,the maximum pressure of the M2 and M3 regions in the H1 group was increased when compared with the group J0,the contact areas of the MH and LH regions in the H2 group were decreased when compared with the group J0,the maximum pressure of the M1 region was increased when compared with the group J0,and the differences were statistically significant(P<0.05).In the dynamic tests,the maximum pressure of the T2-5 regions in the J1 group was increased when compared with the J0 group,the maximum pressure of the M3 region in the group H1 was increased when compared with the group J0,the maximum pressure of the M3 and M4 region in the group H2 was in-creased when compared with the group J0,and the differences were statistically significant(P<0.05).The COP 95%confidence ellipse area in the health group was the smallest,followed by the bilateral heel pain group,and finally the unilateral heel pain group,and the differences among 3 groups were statistically signifi-cant(P<0.05),there was also statistically significant difference between pairwise comparisons in 3 groups(P<0.05).Conclusion In the static condition,the pressure of the healthy heel and affected forefoot in the patients with PF is increased;while in the dynamic condition,the pressure of the toes of the healthy foot and forefoot of the affected foot in the patients with PF is also increased.The distribution of plantar stress in the patients with PF has larger difference compared with the healthy population,and the stability is poor.Meas-ures can be taken to improve the abnormal force on the foot,reduce pain and reduce the risk of falling.

Objective To explore the application of Plan-Do-Check-Act(PDCA)cycle management to continuously im-prove the service quality of outpatient pharmacy and enhance patient satisfaction.Methods To address the problem of long wait-ing time for patients in outpatient pharmacy,we applied PDCA cycle to investigate the factors affecting patients'waiting time in the process of medicine collection,analyze the current situation,determine the expected goals,formulate the service quality im-provement plan of outpatient pharmacy,implement the improvement plan,follow up and supervise,and summarize and analyse the problems regularly until it was solved.Results After implementing the PDCA cycle in the management,the service quality of outpatient pharmacy was improved,the waiting time was significantly shortened and the satisfaction of medical treatment was in-creased.Conclusion The application of PDCA cycle method is effective in improving the service quality of outpatient pharmacy.Therefore,it is recommended for broader implementation.

Objective To establish the ultra-high performance liquid chromatography(UPLC)chromatographic fingerprint of Notopterygii Rhizoma et Radix;To determine the contents of ferulic acid,nodakenin,ammijin,notopterol,isoimperatorin and volatile oil of Notopterygii Rhizoma et Radix from different producing areas;To provide reference for quality evaluation of Notopterygii Rhizoma et Radix.Methods Waters BEH C18 chromatographic column(2.1 mm×150 mm,1.7 μm)was used,with mobile phase acetonitrile-0.02%formic acid aqueous solution gradient elution,flow rate 0.25 mL/min,column temperature 25℃,detection wavelength 330 nm,injection volume 2 μL.UPLC fingerprints of 25 batches of Notopterygii Rhizoma et Radix were established,and the similarity analysis and chemometrics analysis were carried out.The contents of ferulic acid,nodakenin,ammijin,notopterol and isoimperatorin were determined simultaneously,and the contents of volatile oil was determined by steam distillation method.Results Totally 23 common fingerprint peaks were calibrated,11 known components were identified.According to the results of the cluster analysis and principal component analysis,25 batches of Notopterygii Rhizoma et Radix samples were divided into 3 categories,and the 6 potential differential components were screened out by orthogonal partial least squares-discriminant analysis(OPLS-DA).The results showed that the contents of notopterol and volatile oil from Sichuan Province were higher than those from Gansu Province and Qinghai Province.Conclusion The method established in the study is accurate and reliable,which can provide scientific basis and reference for the quality evaluation and control of Notopterygii Rhizoma et Radix.

Objective:To establish ultra performance liquid chromatography (UPLC) characteristic chromatogram of Pulsatilla chinensis; To provide reference for the origin identification and quality control of Pulsatilla chinensis. Methods:UPLC Method was adopted. The determination was performed on a column of Agilent SB C18 (2.1 mm×100 mm, 1.8 μm) . The mobile phase was acetonitrile-methanol (2:1) -0.1% phosphoric acid solution by fradient elution at a flow rate of 0.30ml/min. The column temperature was 30 ℃. The detection wavelength was 215 nm. The injection volume was 2 μl. The common counterfeit products and medicinal herbs of Pulsatilla chinensis from different areas were evaluated by comparison of characteristic chromatogram, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Results:There were 9 characteristic peaks in the characteristic chromatogram of Pulsatilla chinensis, and 8 common peaks were identified by high resolution mass spectrometry and comparison of reference materials. Through PCA analysis, it was possible to clearly distinguish the medicinal herbs of Pulsatilla chinensis from different areas. Combined with OPLS-DA analysis, it was found that peak 2, peak 3, peak 6 were the main markers of Pulsatilla chinensis from different producing areas. Conclusion:The established method has good specificity, repeatability and durability, and it can effectively distinguish the common counterfeits of Pulsatilla chinensis, and provide the basis of quality control and selection of origin for Pulsatilla chinensis.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

ObjectiveTo observe the clinical efficacy of modified Zuojinwan granules in treating reflux esophagitis （RE） and functional dyspepsia （FD） with the same syndrome with disharmony between liver and stomach）. MethodA randomized double-blind placebo-controlled clinical trial was conducted to enroll 144 patients with disharmony between liver and stomach， including 72 patients with RE and 72 patients with FD. These patients were then randomly divided into observation and control groups， with 36 patients in each group. The observation group was given modified Zuojinwan granules orally， and the control group was given placebo granules orally. They both were treated with two packs each time， twice a day， for four weeks. The traditional Chinese medicine （TCM） syndrome scores， cerebrointestinal peptides ［calcitonin gene-associated titanium （CGRP）， vasoactive intestinal peptide （VIP）， 5-hydroxytryptamine （5-HT）， and substance P （SP）］， inflammatory factors ［tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6）］， common gastrointestinal related hormones ［gastrin （GAS） and motilin （MTL）］， and other indicators in the two groups were compared before and after treatment， and the curative effect of TCM syndromes and the occurrence of adverse reactions were determined. At the same time， the changes in the above indicators and the curative effect of TCM syndromes in the two groups of patients with the same disease were analyzed. ResultAfter treatment， CGRP， VIP， 5-HT， SP， TNF-α， IL-6， GAS， MTL， and TCM syndrome scores in the observation group and control group were significantly improved （P<0.05）. After treatment， the improvement of CGRP， VIP， 5-HT， SP， TNF-α， IL-6， GAS， MTL， and TCM syndrome scores in the observation group was better than that in the control group （P<0.05）. After treatment， CGRP， VIP， 5-HT， SP， TNF-α， IL-6， GAS， MTL， and TCM syndrome scores in both groups of RE patients and FD patients were significantly improved （P<0.05）. After treatment， the improvement of CGRP， VIP， 5-HT， SP， TNF-α， IL-6， GAS， MTL， and TCM syndrome scores in RE patients and FD patients in the observation group were better than that in the control group （P<0.05）. In the observation group and the control group， the incidence of nausea， vomiting， fatigue， dry mouth， and other adverse reactions was lower， and there was no statistical significance. ConclusionModified Zuojinwan granules can effectively improve the TCM syndromes of disharmony between liver and stomach of RE and FD， brain and intestinal peptide， gastrointestinal hormone， and inflammatory factors and provide evidence for the clinical application of TCM theory of "treating different diseases with the same method".

Brain glioma invariably relapses since the tumor is difficult to remove completely. Accurate identification of tumor subtypes and tracing of tumor boundaries intraoperatively are the key clinical issues. Raman spectroscopy has a good application prospect in the intraoperative diagnosis of brain glioma due to its advantages of nondestructive, label-free, histology imaging and high specificity. In this article, the research and application of Raman spectroscopy in the in vitro diagnosis and intraoperative navigation-related diagnosis and treatment of brain glioma are reviewed.

Objective:To comprehensively evaluate the ability of common resting state functional magnetic resonance imaging (rs-fMRI) indices to detect abnormal brain activity in childhood absence epilepsy (CAE).Methods:Simultaneous electroencephalography-functional magnetic resonance imaging (fMRI) data of 20 patients with CAE who were treated in the Jinling Hospital, Nanjing University School of Medicine from February 2010 to September 2021 were retrospectively collected. After excluding 2 patients with CAE with greater head movement, 44 fMRI data containing discharges from 18 patients were obtained finally. The generalized spike and slow-wave discharges (GSWD) related fMRI activation mappings were obtained by using the generalized linear model. At the same time, 94 age- and sex-matched healthy controls underwent rs-fMRI scanning. Meanwhile, 12 indices of rs-fMRI were calculated respectively [amplitude of low frequency fluctuation (ALFF), fractional amplitude of low frequency fluctuation (fALFF), regional homogeneity (ReHo), functional connectivity density (FCD), long FCD, local FCD, granger causality density (GCD)-in, GCD-out, GCD-int, resting state functional magnetic resonance imaging lag analysis (RSLA), Hurst index and brain entropy]. Two-sample t-tests were employed to detect significant differences in 12 indices of rs-fMRI. The Dice coefficient was used to evaluate the overlap between different brain maps of 12 indices of rs-fMRI and the GSWD-related blood oxygenation level dependent (BOLD) activation. Results:Positive activation of GSWD-related BOLD in CAE was mainly in the bilateral thalamus, and negative activation was mainly in default mode network (DMN) related brain regions. There was a significant overlap between the abnormal brain regions detected by various resting-state indicators: compared with normal controls, ALFF, fALFF, ReHo, GCD-in, GCD-out and local FCD were elevated in the bilateral thalamus, while FCD, long FCD, GCD-int and RSLA were decreased in CAE; ALFF, fALFF, ReHo, local FCD, GCD-out, RSLA and brain entropy were decreased in the DMN, while FCD, long FCD, GCD-in and GCD-int were increased in CAE. The Dice coefficient of long FCD was the highest (0.365),FCD was 0.362, while the Hurst index showed the lowest (0.142).Conclusions:Rs-fMRI indices variously revealed abnormal brain activity in CAE, in which the FCD is better for detection of epileptic activity. Rs-fMRI could be helpful to understand the pathophysiological mechanism of CAE, and to find reliable imaging markers.