A method for simultaneous determination of 25 kinds of fungicides in cereals, vegetables and fruits using SPE-LC-Q-TOF/MS technique was developed.The samples were extracted with acetonitrile containing 1% (V/V) acetic acid, purified by solid phase extraction (SPE) with a Crabon/NH2 cartridge, eluted with acetonitrile-toluene(3∶1, V/V), separated by a reversed phase C18 column, gradiently eluted with acetonitrile and 0.1% formic acid solution (Containing 5 mmol/L ammonium acetate), determined by LC-Q-TOF/MS, and quantified by external standard method.A data base of the accurate mass numbers and a library which contains 25 kinds of fungicides were established.The automatic retrieval of detection results was carried on according to the characteristics of the compound, such as accurate mass, retention time, isotope peak distribution, isotopic ratios, and so on.Based on the above results, the qualitative identifications of the 25 new fungicides were accomplished without the contrast of standard substances.The results indicated that 25 fungicides showed good linearity in the range of 0.02-200 μg/L, and the limits of detection (LOD) and the limits of quantification (LOQ) were 0.01-5.00 μg/kg and 0.02-20.00 μg/kg, respectively.The linear relative coefficients were greater than 0.995.The recoveries were in the range 71.8%-114.0% and the relative standard deviations (RSD) were ranged from 0.1% to 21.3% (n=3).The method has some advantages such as simplicity, rapidity and high sensitivity, and is suitable for the rapid determination of the common fungicides in cereals, vegetables and fruits.

BACKGROUND:Previous studies have showed thatTougu XiaotongCapsule (TGXTC) exertsbetter effects on osteoarthritis, byregulatingRho/Rock signaling pathway, inhibitingsignal transduction of chondrocyte mitochondrial apoptosis pathway,varyingthe rate and pattern of subchondral bone remodeling and improving the arrangement of subchondral bone colagen fibers and calcium-phosphate crystalization. OBJECTIVE:To observe the effects of the serum containing TGXTC and itsdisassembled recipeson chondrocytedegenerationof ratsviaWnt/β-cateninsignal pathway, and to explore the maintherapeutic method forosteoarthritis in theTGXTC. METHODS:FortySprague-Dawley rats were randomlyassigned to receivethe treatment ofTGXTC,Bushen Rougan(BSRG),Huoxue Qufeng(HXQF) and normal saline, respectively, according tothe dose conversion methods ofanimaltoanimal and animaltohuman. Thenvarious drug-containing serums wereprepared for thefolowingcelular experiment.After culture and passage, chondrocytesfromSprague-Dawley ratsat passage 3 were divided into five groups: blank control, model, TGXTC, BSRG, HXQF groups. Cels in the latter four groups wereculturedin appropriate drug-containing serums(normal salineserumfor the model group) for 72 hours, folowing intervention with interleukin-1β for 24 hours.Cels in the blank control group were cultured innormal saline serum.Afterwards, cels in al the five groups were colected for detecting expression ofWnt 4, β-cateninandmatrix metaloproteinase 13at mRNA and proteinlevels using real-time PCR and western blot assay, respectively. RESULTS AND CONCLUSION:Compared with theblank control group, the expressionof Wnt 4,β-catenin, matrix metaloproteinase 13 wassignificantly increasedin the model group. Compared with the model group, the expression of Wnt 4, β-catenin, matrix metaloproteinase 13 in the TGXTC, BSRG and HXQF groups were decreasedsignificantly, sequenced as TGXTC group

Objective:To verify the reliability, accuracy and stability of the machine performance check (MPC) system of Varian′s TrueBeam series accelerator.Methods:After the installation was completed, the acceptance data were compared with the results of the first MPC operation to verify the reliability of the MPC results; the accuracy of the MPC results in the image-guided radiotherapy (IGRT) application was verified by the method of artificially introducing errors. The mechanical performance results of 60 groups of MPC from March 2019 to March 2020 were collected to calculate the mean value and standard deviation and compare the stability differences of each index.Results:The equipment error parameters obtained by MPC were all lower than those obtained by acceptance. The maximum difference between two sets of data was only 2mm and the threshold ratio was less than 20%. MPC had a high sensing accuracy for radiation and imaging position shift, and the r values were more than 90%. The vertical direction of the couch had a poor sense of displacement accuracy, and the r value was less than 73.7%. For this verification project, the angle of the treatment bed was the most stable, and the standard deviation did not exceed 0.01. The stability of other indexes did not significantly differ.Conclusions:MPC can be used as a verification tool for routine quality assurance of IGRT. The verification accuracy of radiation and imaging centers are better than the mechanical accuracy of gantry, collimator and couch.

Objective To analyze the risk factors for the occurrence of post transplantation diabetes mellitus (PTDM) in renal transplant recipients, establish a prediction model for PTDM and evaluate its prediction value. Methods Clinical data of 915 renal transplant recipients were retrospectively analyzed. According to the occurrence of PTDM, all recipients were divided into the PTDM group (n=78) and non-PTDM group (n=837). The main indexes of recipients were collected. The risk factors for the occurrence of PTDM in renal transplant recipients were analyzed by univariate and multivariate analysis. The prediction model for PTDM was established and its prediction value was evaluated. Results Family history of diabetes mellitus, body mass index (BMI), preoperative 2 h postprandial blood glucose and preoperative glycosylated hemoglobin were the independent risk factors for the occurrence of PTDM in renal transplant recipients. The prediction model for PTDM was logit (P)=2.199×family history of diabetes (yes=1, no=0)+0.109×BMI+0.151×2 h postprandial blood glucose (mmol/L)+0.508×glycosylated hemoglobin (%)-9.123. The results of receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of these 4 predictors combined for predicting PTDM in renal transplant recipients was 0.830 [95% confidence interval (CI) 0.786-0.873], the cut-off value was 0.0608, the sensitivity was 0.821, the specificity was 0.700, and the Youden index was 0.521 (P < 0.05). Conclusions Family history of diabetes mellitus, BMI, preoperative 2 h postprandial blood glucose and preoperative glycosylated hemoglobin are the independent risk factors for the occurrence of PTDM in renal transplant recipients. The prediction model for PTDM combined with4 predictors yield relatively high prediction value for PTDM.