1.Advances of Metal-Organic Framework Stationary Phases for Gas Chromatographic Separations
Yan JIN ; Wen-Bo LI ; Yu-Chen ZHU ; Bin ZHAO ; Lei LI ; Dan ZHENG ; Fei FENG
Chinese Journal of Analytical Chemistry 2025;53(1):1-13
Metal-organic frameworks(MOFs)are porous materials composed of metal ions or metal clusters and organic ligands by coordination,which have the advantages of large specific surface area,good thermal stability and adjustable pore size,and have a promising application in gas chromatographic separation.In recent years,MOFs materials have been used as stationary phases for gas chromatography mainly including ZIF,MIL,UiO-66,HKUST-1,IRMOFs,etc.Based on the molecular sieve effect,van der Waals forces,hydrogen bonding and π-π interactions,the pore size,pore microenvironment,unsaturated metal site and special functional group of the MOFs stationary phase materials can be specifically designed and regulated.MOFs materials as stationary phases have unique separation performance for n-alkanes and their isomers,aromatic compounds and their isomers,alcohols/ketones/aldehydes and their isomers,and chiral compounds.The combination of organic polymers and novel nanomaterials with MOFs materials can improve the separation performance and stability of MOFs.Therefore,MOFs materials are expected to be the promising stationary phase that can be applied to gas separation in complex environments.In this article,the research advances of various stationary phases based on MOFs for gas chromatography in recent years were reviewed.The separation performance and separation mechanism of MOFs stationary phases for mixed gas samples were discussed,and the development trends in the future were prospected.
2.Preparation and Performance Test of Highly Stable Ammonium Ion Selective Electrode Based on Hydrophobic Solid Contact Layer
Chen-Yu LIU ; Jia-Wen YIN ; Yun-Zhe HAN ; Sheng-Kang LU ; Qing-Hui JIN
Chinese Journal of Analytical Chemistry 2025;53(5):774-784
The stability of ammonium ion selective electrode is an important indicator to ensure accurate monitoring of ammonia nitrogen concentration in drinking water.However,in long-term monitoring process,interfering ions and water molecules in water samples may penetrate into the interior of the ammonium ion selective electrode to form a water layer,which affects the potential response and stability of the electrode.Perfluorooctanoic acid is a low surface energy material,and doping it in polyaniline can reduce surface energy of the composite and improve surface roughness.In this work,five ammonium ion selective electrodes were prepared by doping polyaniline with different concentrations of perfluorooctanoic acid as a solid contact layer,which made the solid contact layer of electrode had hydrophobic properties,thereby improving stability of the ammonium ion selective electrode.The stability of the ion-selective electrode was evaluated by potential drift experiment,and the optimal doping concentration of perfluorooctanoic acid in the sediment solution was determined to be 5 mmol/L.The experiment results showed that the solid contact layer had a water contact angle of 132o under the doping concentration,the potential drift rate was 41.66 μV/h,and potential drift rate in the aqueous layer test was 1.31 mV/h,which were all better than those of the unmodified electrode.The standard deviation of the electrode potential was 1.42 mV,which was obviously superior to that of the unmodified electrode.The characteristics of high stability of the electrode made it suitable for long-term monitoring of ammonia nitrogen content in water samples.
3.Biomedical Data in China: Policy, Accumulation, Platform Construction, and Applications.
Jing-Chen ZHANG ; Jing-Wen SUN ; Xiao-Meng LIU ; Jin-Yan LIU ; Wei LUO ; Sheng-Fa ZHANG ; Wei ZHOU
Chinese Medical Sciences Journal 2025;40(1):9-17
Biomedical data is surging due to technological innovations and integration of multidisciplinary data, posing challenges to data management. This article summarizes the policies, data collection efforts, platform construction, and applications of biomedical data in China, aiming to identify key issues and needs, enhance the capacity-building of platform construction, unleash the value of data, and leverage the advantages of China's vast amount of data.
China
;
Humans
;
Biomedical Research
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Data Management
;
Data Collection
4.Tibial transverse transport combined with antibiotic-loaded bone cement for the treatment of diabetic foot ulcer.
Wen CHEN ; Li TIAN ; Tao LIU ; Zhi-Jun HE ; Yan LI ; Jin-Peng LI
China Journal of Orthopaedics and Traumatology 2025;38(9):878-883
OBJECTIVE:
To compare clinical efficacy of tibial transverse transport(TTT) combined with antibiotic-loaded bone cement (ABC) and TTT in treating diabetic foot ulcer (DFU).
METHODS:
A retrospective analysis was conducted on 60 patients with DFU treated from January 2019 to January 2023. They were divided into bone cement group and bone transfer group according to different treatment methods, with 30 patients in each group. There were 20 males and 10 females in bone cement group, aged from 61 to 76 years old with an average of (68.15±4.85) years old;the course of ulcer disease ranged from 7 to 28 months with an average of (15.28±5.52) months;16 patients were grade 3 and 14 patients were grade 4 according to Wagner classification; TTT combined with ABC treatment was performed. There were 22 males and 8 females in bone transfer group, aged from 60 to 75 years old with average of (67.85±4.62) years old;the course of ulcer disease ranged from 6 to 29 months with an average of (14.35±5.21) months;17 patients were grade 3 and 13 patients were grade 4 according to Wagner classification;TTT was performed. The control time of wound infection, duration of antibiotic use, frequency of debridement, weight-bearing time of the affected limb, healing time of ulcer surface and recurrence of infection were compared between two groups. Visual analogue scale (VAS) and ankle brachial index (ABI) between two groups was compared before operation and 2 and 6 months after operation.
RESULTS:
Sixty patients were followed up for 12 to 24 months with average of (17.24±4.42) months. The control time of wound infection, duration of antibiotic use, frequency of debridement, weight-bearing time of the affected limb, and healing time of ulcer surface in bone cement group were (11.02±2.14) days, (12.7±3.5) days, (1.2±0.4) times, (90.02±2.75) days, and (2.32±3.45) months, respectively;while in bone transfer groups were (20.14±3.15) days, (20.4±4.5) days, (2.2±0.8) times, (106.64±8.35) days, and (4.53±3.12) months respectively; bone cement group was superior to bone transfer group, and the differences were statistically significant(P<0.05). Comparisons of VAS and ABI before and after treatment between two groups showed preoperative VAS and ABI in bone cement group were (6.71±0.73) points and (0.25±0.04) respectively, and those in bone transfer group were (6.87±0.17) points and (0.27±0.03) respectively. At 2 months after operation, VAS and ABI in bone cement group were (3.71±0.47) points and (0.61±0.03) respectively, and those in bone transfer group were (3.79±0.70) points and (0.59±0.05) respectively;postoperative VAS and ABI at 6 months in bone cement group were (2.26±0.13) points and (0.80±0.05) respectively, and those in bone transfer group were (2.57±0.17) points and (0.79±0.04) respectively;postoperative VAS and ABI between groups were improved at each time points compared with those of before operation (P<0.05). In bone cement group, there were 2 patients with ulcer recurrence and 1 patient with gangrene;while in bone transfer group, 5 patients with recurrence of infection, 2 patients with recurrence of ulcer and 1 patient with gangrene;the recurrence rate of infection in bone cement group were lower than that in bone transfer group (P<0.05).
CONCLUSION
The combination of TTT and ABC in treating DFU has a good therapeutic effect, which could be shorten the infection control time, ulcer healing time and antibiotic use time, effectively relieve pain, reduce the recurrence rate of infection and improve the quality of life of patients.
Humans
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Male
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Female
;
Aged
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Bone Cements/therapeutic use*
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Middle Aged
;
Anti-Bacterial Agents/therapeutic use*
;
Diabetic Foot/therapy*
;
Retrospective Studies
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Tibia/surgery*
5.Correction to: A Virtual Reality Platform for Context-Dependent Cognitive Research in Rodents.
Xue-Tong QU ; Jin-Ni WU ; Yunqing WEN ; Long CHEN ; Shi-Lei LV ; Li LIU ; Li-Jie ZHAN ; Tian-Yi LIU ; Hua HE ; Yu LIU ; Chun XU
Neuroscience Bulletin 2025;41(5):932-932
6.Association between working hours and occupational stress among employees in manufacturing enterprises
WAN Jialu ; JIN Wen ; RUAN Xiaoying ; YU Jiamian ; CHEN Jiarui
Journal of Preventive Medicine 2025;37(8):837-841
Objective:
To understand the relationship between working hours and occupational stress among front-line employees in manufacturing enterprises, so as to provide a basis for the prevention and control of occupational stress.
Methods:
Front-line employees from 5 manufacturing enterprises in Hangzhou City were selected from June to November 2024 using random cluster sampling. Demographic information and occupational information such as daily average working hours and weekly working hours, were collected through questionnaires. The effort-reward imbalance questionnaire was used to investigate occupational stress. The association between working hours and occupational stress was analyzed using a multivariable logistic regression model.
Results:
A total of 926 people were surveyed, among whom 572 were male, accounting for 61.77%, and 354 were female, accounting for 38.23%. The average age was (32.98±8.28) years. There were 515 people (55.62%) who had a monthly personal income of more than 5 000 yuan but less than 9 000 yuan. There were 353 people (38.12%) who had a working seniority of less than 5 years. There were 784 people (84.67%) who had an average daily working hours of >8 hours and 645 people (69.65%) who had a weekly working day of more than 5 days. There were 338 people (36.50%) on the shift work system, and 331 people (35.75%) worked night shifts. A total of 707 people were detected with occupational stress, with a detection rate of 76.35%. Multivariable logistic regression analysis showed that after adjusting for gender, age, educational level, marital status, number of children, only-child status, monthly personal income, working seniority, weekly working hours, assembly-line work, shift work system and night shift, compared with employees with an average daily working hours of ≤8 hours, the risk of occupational stress increased by 118.7% for those with an average daily working hours of >8-<10 hours (OR=2.187, 95%CI: 1.434-3.336) and by 248.4% for those with an average daily working hours of ≥10 hours (OR=3.484, 95%CI: 2.034-5.966).
Conclusions
The detection rate of occupational stress among front-line employees in manufacturing enterprises in Hangzhou City is high. Long average daily working hours can increase the risk of occupational stress among employees in manufacturing enterprises. It is recommended to reasonably arrange work intensity and working hours.
7.Acupoint thread-embedding therapy of regulating governor vessel, dispersing lung, and suppressing reflux for gastroesophageal reflux cough: a randomized controlled trial.
Mingjie TANG ; Wen LU ; Xiaoni ZHANG ; Jiawei GAO ; Xinchang WEI ; Jin LU ; Jia ZHU ; Yulu FENG ; Lejing JIAO ; Xiaofang XIA ; Zhi ZHOU ; Zhaoming CHEN
Chinese Acupuncture & Moxibustion 2025;45(8):1047-1052
OBJECTIVE:
To observe the clinical efficacy of acupoint thread-embedding therapy of regulating governor vessel, dispersing lung, and suppressing reflux for gastroesophageal reflux cough (GERC).
METHODS:
A total of 120 GERC patients were randomly assigned to an observation group (60 cases, 1 case dropped out) and a control group (60 cases, 1 case was eliminated). The observation group received acupoint thread-embedding treatment at positive response points of governor vessel. If no such points were detected, the following acupoints were used: Dazhui (GV14), Fenghu (Extra), Shendao (GV11), Lingtai (GV10), and Zhiyang (GV9). Treatment was administered once every two weeks. The control group received oral rabeprazole enteric capsules at 20 mg twice daily. All the treatment was given for 6 weeks. Clinical outcomes were assessed using cough symptom score, reflux disease questionnaire (RDQ) score, and Leicester cough questionnaire (LCQ) score before and after treatment in the two groups. Clinical efficacy was also compared between the two groups.
RESULTS:
After treatment, both groups showed decreased cough symptom scores and the each item scores and total scores of RDQ (P<0.001), and increased LCQ scores (P<0.001) compare with those before treatment. The observation group exhibited lower cough symptom score and chest pain, reflux and total score of RDQ, and higher LCQ score compared to those in the control group (P<0.05). The total effective rate in the observation group was 94.9% (56/59), which was higher than 84.7% (50/59) in the control group (P<0.05).
CONCLUSION
Acupoint thread-embedding therapy of regulating governor vessel, dispersing lung, and suppressing reflux could effectively alleviate cough and reflux symptoms in patients with GERC and improve their quality of life.
Humans
;
Acupuncture Points
;
Gastroesophageal Reflux/physiopathology*
;
Male
;
Female
;
Cough/physiopathology*
;
Middle Aged
;
Aged
;
Acupuncture Therapy
;
Adult
;
Treatment Outcome
;
Lung/physiopathology*
;
Meridians
8.Circulating immunological transcriptomic profile identifies DDX3Y and USP9Y on the Y chromosome as promising biomarkers for predicting response to programmed death 1/programmed death ligand 1 blockade.
Liting YOU ; Zhaodan XIN ; Feifei NA ; Min CHEN ; Yang WEN ; Jin LI ; Jiajia SONG ; Ling BAI ; Jianzhao ZHAI ; Xiaohan ZHOU ; Binwu YING ; Juan ZHOU
Chinese Medical Journal 2025;138(3):364-366
9.Intermittent fasting ameliorates rheumatoid arthritis by harassing deregulated synovial fibroblasts.
Lei LI ; Jin DONG ; Yumu ZHANG ; Chen ZHAO ; Wen WEI ; Xueqin GAO ; Yao YU ; Meilin LU ; Qiyuan SUN ; Yuwei CHEN ; Xuehua JIAO ; Jie LU ; Na YUAN ; Yixuan FANG ; Jianrong WANG
Chinese Medical Journal 2025;138(23):3201-3203
10.Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms.
Wen-Yu JIA ; Feng TONG ; Heng-Xu LIU ; Shu-Qin JIN ; Yong-Chao ZHANG ; Chen-Feng ZHANG ; Zhen-Zhong WANG ; Xin ZHANG ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(2):430-438
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods*
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Drugs, Chinese Herbal/administration & dosage*
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Machine Learning
;
Algorithms
;
Humans
;
Quality Control


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