OBJECTIVE:To establish a method to determinate the content of paeoniflorin in Bailing tablet,and to evaluate the uncertainty of results. METHODS:HPLC was performed on the column of Platisil C18 with mobile phase of water- acetonitrile(87:13,V/V) at a flow rate of 1 ml/min,the detection wavelength was 230 nm,the column temperature was 25 ℃ and the injection volume was 10 μl. Quantitative analysis was conducted for the processes and procedures and the uncertainty was evaluated. RESULTS:The linear range of paeoniflorin was 0.100 1-2.502 8 μg;RSDs of precision,stability and reproducibility tests were lower than 2.0%,recovery rate was 98.7%-100.9%(RSD=0.86%,n=6). Reference substance amount,elution produce and the accuracy of method had great effect on the uncertainty. CONCLUSIONS:The established method can be used for the content determination of paeoniflorin in Bailing tablet,and the uncertainty evaluation provides reliability for the method.

OBJECTIVE:To give advice for drugstores on how to meet customers' demands effectively and build core competitive power in China.METHODS:The characteristics of customers' demands were put forward from customers' point of view.The factors influencing customers' demands were analyzed as well.RESULTS&CONCLUSIONS:Customers' demands in drugstores are characterized by passivity,compulsion,urgency,target-orientation etc;customers' demands are influenced by price,income,time variation and customers' personalities;only if drugstores are aware of the characteristics of customers' demands and bring controllable factors influencing customers' demands under control can they achieve the dual goals of establishing core competitive power meanwhile satisfying customers' demands.

Objective:To identify the risk factors for poor prognosis following interventional treatment in the patients with postherpetic neuralgia (PHN) and construct a predictive model.Methods:The medical records from patients with PHN undergoing interventional therapy at the First Affiliated Hospital of Soochow University from March 2020 to August 2023 were retrospectively collected, including basic characteristics, past medical and surgical history, symptoms, medication therapy, clinical pain score, neutrophil/lymphocyte ratio (NLR) before interventional treatment and interventional treatment methods. Logistic regression analysis was used to identify the risk factors associated with poor prognosis following interventional treatment in PHN patients, and a nomogram predictive model for poor prognosis was constructed. The discrimination and calibration of the nomogram predictive model were evaluated using the C-index and Hosmer-Lemeshow test. Calibration curves and clinical decision curves were drawn to further verify the accuracy of the predictive model.Results:The results of the multivariate logistic regression analysis show that increasing age, prolonged disease duration, elevated NLR, use of immunosuppressants and use of pulsed radiofrequency were independent risk factors for poor prognosis following intervention treatment in PHN patients ( P<0.05). The nomogram predictive model for poor prognosis following PHN interventional treatment constructed based on these factors had a C-index of 0.844. Calibration curves showed good consistency between predicted probability of poor prognosis and actual incidence of poor prognosis. Clinical decision curves indicated that the predictive model provided good accuracy and net benefit. Conclusions:Increasing age, prolonged disease course, elevated NLR, use of immunosuppressants and use of pulsed radiofrequency are independent risk factors for poor prognosis following interventional treatment in the patients with PHN. The nomogram predictive model based on these factors can effectively predict the occurrence of poor prognosis in PHN patients undergoing interventional treatment.

OBJECTIVE：To improve the quality standard of Compound child antifebrile suppository. METHODS ：Based on the previous quality standard ，TLC identification methods were established for artificial cow-bezoar and Baphicacanthis Cusiae Rhizoma et Radix. HPLC method was established for content determination of choleic acid （CA），hyodeoxycholic acid （HDCA） and paracetamol. RESULTS ：TLC chromatogram of artificial cow-bezoar and Baphicacanthis Cusiae Rhizoma et Radix all showed the same color spots in the same position as the corresponding substance control or reference medicinal material ，while the negative samples had no interference. HPLC was performed on Welch Xtimate C 18 column（CA，HDCA）or Agilent ZORBAX SB-C 18 column（paracetamol）with mobile phase consisted of acetonitrile-0.5％ formic acetic acid （by gradient elution ，CA and HDCA ）or methanol-water（20∶80，V/V，paracetamol）at the flow rate of 1.0 mL/min. ELSD was used with a nitrogen flow-rate of 2.0 L/min at a drift tube temperature of 105 ℃（CA，HDCA）. The detection wavelength was set at 244 nm（paracetamol）. The linear ranges of CA，HDCA，paracetamol were 0.150 0-4.500 0，0.212 5-6.375 0，0.081 9-1.638 5 μg（all r＞0.999 2）. RSDs of precision ， reproducibility and stability tests were all lower than 3％（n＝6 or n＝7）. The average recoveries were 100.35％，101.39％， 98.81％（all RSD ＜3％，n＝6）. CONCLUSIONS ：Based on previous quality standard of Compound child antifebrile suppository ， TLC method is used to identify artificial cow-bezoar and Baphicacanthis Cusiae Rhizoma et Radix ，and the contents of CA ，HDCA and paracetamol are determined by HPLC ，which can effectively improve the quality control standard of the preparation.

OBJECTIVE To establish a method for the content determination of patulin in Citri Grandis Exocarpium. METHODS High-performance liquid chromatography-triple quadrupole mass spectrometer（HPLC-MS/MS）was used for the analysis. After water-soluble dispersion and pectinase enzymolysis， the Citri Grandis Exocarpium sample was extracted by acetonitrile with high-speed homogenated. The extracted solution was conducted dispersive solid phase extraction by mixing powder of MgSO4 and NaAC （4∶1，m/m），then purified on SHIMSEN 228 solid phase purification column. Water acetonitrile was used as mobile phase， and the Shim-pack XR-ODS column was used to separate the target compound. And it was detected by electrospray ionization in the negative mode under multiple reaction monitoring， and quantified by the external standard method with matrix- matched standard correction curves. RESULTS Patulin showed good linear correlation in the concentration from 5 to 200 ng/mL （r＝0.999 6）. RSDs of precision， reproducibility and stability tests （12 h） were all lower than 6％. The average recoveries at low， medium， high concentrations were 83.9%， 92.08%， 92.21%， respectively （RSDs were 11.09%， 5.53%， 1.75%， respectively）. The limit of quantitation was 6 μg/kg and limit of detection was 3 μg/kg. Patulin was not detected in 20 batches of samples. CONCLUSIONS Established method can be used for the rapid detection and accurate quantification of patulin in Citri Grandis Exocarpium， which can provide experimental basis and method for safety study and quality control of Citri Grandis Exocarpium.