A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

AIM To study the chemical constituents from the root tubers of Stephania kwangsiensis H.S.Lo and their tyrosinase inhibition and insecticidal activities.METHODS The 70％ ethanol extract from root tubers of S.kwangsiensis was isolated and purified by Sephadex LH-20,MCI,ODS,semi-prepative HPLC and HSCCC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The tyrosinase inhibitory activities were determined by using levodopa as substrate,and the insecticidal activities were evaluated by the control effect of Diaphorina citri.RESULTS Twelve compounds were isolated and identified as tetrahydropalmatine ( 1 ),dehydrocrebanine ( 2 ),crebanine ( 3 ),stephanine ( 4 ),liriodenine ( 5 ),piperumbellactam A ( 6 ),sinoacutine ( 7 ),(+)-salutaridine N-oxide ( 8 ),bisnorargemonine ( 9 ),(+)-corytuberine (10),sebiferine (11) and palmatrubine (12).The IC50 values of compounds 5-7 to tyrosinase were (0.1702±0.0101),(0.7663±0.0331) and (0.5193±0.0075) mg/mL,respectively.The control effects of compounds 2-5,7,8,10-12 against D.citri ranged from ( 19.33±0.57 )％ to ( 77.15±0.45 )％.CONCLUSION Compounds 2,5,6,and 8-12 are isolated from this plant for the first time,6 and 9 are first obtained from genus Stephania.Compounds 5-7 displayed significant tyrosinase inhibition activities.Compounds 7,8 and 10 show strong insecticidal activities.

Objective To investigate factors influencing the occurrence of early haematoma expansion(HE)in patients with spontaneous intracerebral hemorrhage(sICH),to develop a predictive model and evaluate its predictive efficacy.Methods A retrospective cohort of 238 patients with sICH,admitted to General Hospital of Western Theater Command between January 2017 and December 2022,was analyzed.Patients were categorized into two groups based on the criteria of HE exceeding 33%in relative volume or 6 ml in absolute volume:HE group(n=62)and non-haematoma expansion(NHE)group(n=176).Clinical characteristics,laboratory findings,Non-contrast Computed Tomography(NCCT)imaging,and Glasgow Coma Scale(GCS)scores were compared between the two groups.Multifactorial logistic regression analysis was employed to identify risk factors for HE and to model the probability of its occurrence.The R language rms package was utilized to construct a nomogram model for predicting HE in sICH patients,Additionally,the related clinical,NCCT,and GCS models were constructed.The predictive efficacy of each model for HE in sICH patients was evaluated using area under Receive Operative Characteristic(ROC)curve(AUC),and the clinical application value of each model was assessed using accuracy,sensitivity,specificity,and Jordon's index.The Delong test was applied to analyze differences in the predictive values of the models.Results Significant differences in satellite sign,vortex sign,and history of anticoagulant treatment were observed between two groups(P<0.05).Multifactorial logistic regression analysis revealed independent risk factors for HE in sICH patients,including the first CT examination time,homogeneity,history of anticoagulant medication,volume,maximal diameter,hypodensity sign,island sign,satellite sign,and vortex sign(P<0.05).The AUCs for the constructed clinical model,NCCT model,GCS model and nomogram model in predicting the occurrence of HE in sICH patients were 0.672,0.706,0.518 and 0.754,respectively.The nomogram model demonstrated higher accuracy,sensitivity,Jordon's index and AUC compared with those in the clinical and NCTT models.Conclusions The first CT examination time,homogeneity,history of anticoagulant treatment,volume,maximum diameter,hypodensity sign,island sign,satellite sign,and vortex sign are independent predictors of early HE in sICH patients.The nomogram model,constructed with the above parameters,demonstrated high predictive efficacy for HE and holds potential for clinical application.

Objective:To analyze the efficiency of human resource allocation and its spatial distribution characteristics of district-level Center for Disease Control and Prevention(CDC)in city N of Jiangsu Province in 2020,in order to provide a strong decision-making reference for optimizing and strengthening the CDC talent team.Methods:The efficiency of human resources of district-level CDC of City N in2020 was measured using the Super-Efficiency SBM model,and the spatial association pattern was analyzed using the natural break point classification method and Moran's index,with the visualization presented through LISA maps.Results:The overall level of human resource efficiency in district-level CDC of City N is relatively high.However,spatially,there are significant differences among the regions,showing a trend of high efficiency in the central areas and low efficiency at the ends.Moran's index and LISA maps indicate a negative spatial correlation in efficiency,with a low-high(L-H)cluster centered on Area L and a high-low(H-L)cluster centered on Area J.The high-high(H-H)cluster pattern has not yet formed,exhibiting a characteristic of interspersed high and low efficiency.Conclusions:There are regional differences in the human resource efficiency of the Disease Control Center in City N,and the spatial cluster pattern needs to be optimized.It is recommended to focus on efficiency improvement in Areas P and L,formulate appropriate policies,and promote coordinated regional development.

AIM To study the chemical constituents from the root tubers of Stephania kwangsiensis H.S.Lo and their tyrosinase inhibition and insecticidal activities.METHODS The 70％ ethanol extract from root tubers of S.kwangsiensis was isolated and purified by Sephadex LH-20,MCI,ODS,semi-prepative HPLC and HSCCC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The tyrosinase inhibitory activities were determined by using levodopa as substrate,and the insecticidal activities were evaluated by the control effect of Diaphorina citri.RESULTS Twelve compounds were isolated and identified as tetrahydropalmatine ( 1 ),dehydrocrebanine ( 2 ),crebanine ( 3 ),stephanine ( 4 ),liriodenine ( 5 ),piperumbellactam A ( 6 ),sinoacutine ( 7 ),(+)-salutaridine N-oxide ( 8 ),bisnorargemonine ( 9 ),(+)-corytuberine (10),sebiferine (11) and palmatrubine (12).The IC50 values of compounds 5-7 to tyrosinase were (0.1702±0.0101),(0.7663±0.0331) and (0.5193±0.0075) mg/mL,respectively.The control effects of compounds 2-5,7,8,10-12 against D.citri ranged from ( 19.33±0.57 )％ to ( 77.15±0.45 )％.CONCLUSION Compounds 2,5,6,and 8-12 are isolated from this plant for the first time,6 and 9 are first obtained from genus Stephania.Compounds 5-7 displayed significant tyrosinase inhibition activities.Compounds 7,8 and 10 show strong insecticidal activities.

Humans ; Nutrition Surveys ; Diabetes Mellitus, Type 2/chemically induced* ; Environmental Exposure/analysis* ; Environmental Monitoring ; Phthalic Acids/toxicity* ; Environmental Pollutants/toxicity*

OBJECTIVE: To explore the mechanism of Haitongpi Prescription extract in the treatment of knee osteoarthritis based on transcriptome. METHODS: Total of 12 SPF grade rats were divided into control group(group C), model group(group M), and Haitongpi prescription group(group HP). The knee osteoarthritis rat model was established using the Panicker method for group M and group HP, and group HP was intervened by local topical application of Haitongpi Prescription extract for 4 weeks. Total RNA from mouse knee cartilage was extracted and three sets of differential genes were obtained through sequencing.Differential genes were prediction and analysis through GO function and KEGG pathway enrichment analysis. RESULTS: A total of 109 differentially expressed genes were identified in Group C versus Group M, while 118 differentially expressed genes were identified in Group M versus Group HP, resulting in a total of 28 genes. GO functional enrichment analysis showed that the mechanism of HP extract in treating knee osteoarthritis mainly involved immunoglobulin mediated immune response, immunoglobulin complexes, and antigen binding; KEGG pathway enrichment analysis showed correlation with tumor necrosis factor (TNF) signaling pathway, interleukin 17(IL-17) signaling pathway, and estrogen signaling pathway. CONCLUSION HP extract can exert therapeutic effects on knee osteoarthritis through mechanisms such as immunoglobulin mediated immune response, immunoglobulin complexes, and antigen binding, as well as signaling pathways such as TNF signaling pathway, IL-17 signaling pathway, and estrogen signaling pathway.
Mice ; Rats ; Animals ; Osteoarthritis, Knee/genetics* ; Transcriptome ; Interleukin-17 ; Ointments ; Estrogens ; Immunoglobulins

Objective: To study the incidence of bloodstream infections, pathogen distribution, and antibiotic resistance profile in patients with hematological malignancies. Methods: From January 2018 to December 2021, we retrospectively analyzed the clinical characteristics, pathogen distribution, and antibiotic resistance profiles of patients with malignant hematological diseases and bloodstream infections in the Department of Hematology, Nanfang Hospital, Southern Medical University. Results: A total of 582 incidences of bloodstream infections occurred in 22,717 inpatients. From 2018 to 2021, the incidence rates of bloodstream infections were 2.79%, 2.99%, 2.79%, and 2.02%, respectively. Five hundred ninety-nine types of bacteria were recovered from blood cultures, with 487 (81.3%) gram-negative bacteria, such as Klebsiella pneumonia, Escherichia coli, and Pseudomonas aeruginosa. Eighty-one (13.5%) were gram-positive bacteria, primarily Staphylococcus aureus, Staphylococcus epidermidis, and Enterococcus faecium, whereas the remaining 31 (5.2%) were fungi. Enterobacteriaceae resistance to carbapenems, piperacillin/tazobactam, cefoperazone sodium/sulbactam, and tigecycline were 11.0%, 15.3%, 15.4%, and 3.3%, with a descending trend year on year. Non-fermenters tolerated piperacillin/tazobactam, cefoperazone sodium/sulbactam, and quinolones at 29.6%, 13.3%, and 21.7%, respectively. However, only two gram-positive bacteria isolates were shown to be resistant to glycopeptide antibiotics. Conclusions: Bloodstream pathogens in hematological malignancies were broadly dispersed, most of which were gram-negative bacteria. Antibiotic resistance rates vary greatly between species. Our research serves as a valuable resource for the selection of empirical antibiotics.
Humans ; Bacteremia/epidemiology* ; Cefoperazone ; Sulbactam ; Retrospective Studies ; Drug Resistance, Bacterial ; Microbial Sensitivity Tests ; Hematologic Neoplasms ; Sepsis ; Anti-Bacterial Agents/pharmacology* ; Gram-Negative Bacteria ; Gram-Positive Bacteria ; Piperacillin, Tazobactam Drug Combination ; Escherichia coli