ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.

Background Photovoltaic (PV) cells can convert solar energy into electricity and alleviate the dilemma of energy supply shortage. Shanghai's PV module industry is booming, but there are few reports on the health status of the workers and there is an urgent need for health risk assessment. Objective To evaluate the health status of PV module production workers and the association between work and health status, in order to provide a direction for the health management of the workers. Methods Among the PV module production workers who completed prescriptive occupational health examination by a designated medical institution in 2021, 2453 workers with more than one year of working age were selected as the exposure group and 538 newly hired workers as the control group. On the basis of the Technical specifications for occupational health surveillance (GBZ 188−2014), the health examination included physical examination and laboratory examination and information such as sociodemographics, living habits, and disease history. We compared the indicators of pure-tone hearing test, blood routine examination, electrocardiogram (ECG), liver function, and kidney function between the two groups. The blood routine results included erythrocyte-related indicators, leukocyte-related indicators, and platelet-related indicators, and the results of liver function included hepatocyte injury indicators, hepatic secretory function indicators, and hepatic synthesis function indicators. The workers were divided into four groups by quartiles of working age. Trend chi-square test was used to analyze differences in health status between the four working age groups. Multiple logistic regression models were used to evaluate the association between working age and health indicators. Results Among the exposure group workers, 2035 (83.0%) were male and 418 (17.0%) were female. The median (P₂₅, P₇₅) age was 34.0 (30.0, 39.0) years and the median (P₂₅, P₇₅) working age was 6.0 (3.0, 10.0) years. The abnormality rate of blood routine was 61.7%. Among them, the abnormality rates of platelet-related indicators and liver secretory function indicators were 39.8% and 48.1% respectively. The risks of abnormal hepatocyte injury-related indicators, fatty liver, and platelet-related indicator abnormalities among the exposure group were 1.471 (95%CI: 1.060, 2.054), 1.691 (95%CI: 1.208, 2.385), and 7.576 (95%CI: 4.967, 11.994) times higher than those in the control group respectively. The single-factor analysis demonstrated a positively linear trend between working age and hypertension prevalence, electrical audiometry abnormality rate, or liver secretory function indicator abnormality rate. Corrected for gender, age, smoking status, hypertension, etc., the results of logistic analysis showed that quartile working age was positively related to abnormal liver secretion function and abnormal platelet-related indicators respectively (OR=1.047, P=0.005; OR=1.037, P=0.014), and inversely associated with the abnormal rate of renal function (OR=0.953, P=0.044). Conclusion Negative associations between health status and working age are identified in PV module production workers. The target PV module production employees are in younger age, and with the increase of working age, the abnormalities of liver function and platelets may increase. Therefore, the enterprises should extend occupational health work from workplace to workers.

Objective To explore the anti-inflammatory effect of Qingre Jiedu(QRJD)formula on mice with gout and its effect on gut microbiota.Methods Forty C57BL/6 mice weighing 20～22 g were divided into control(CON),model(MOD),allopurinol(ALLO),and QRJD formula(QRJD)groups,and i.g.10 g/0.1 mL carboxymethyl cellulose was administered to the CON every morning from 1 to 35 days.A hyperuricemia mouse model was prepared by intragastric injection of a potassium oxalic acid(500 mg/kg)and yeast extract(10 g/kg)suspension.On day 29,50 μL sterile carboxymethyl cellulose was injected into the right ankle of mice in the CON group under isoflurane-induced anesthesia,and a gouty arthritis model was prepared by injecting the same volume of sodium urate(50 mg/mL)into the right ankle of mice in the other groups.Each group was treated with corresponding drugs every day.On day 35,samples were collected from mice that had been fasted for 6 hours without water.Blood indexes,such as uric acid,creatinine,and urea nitrogen,were assessed.Hematoxylin-eosin and saffranine O-fast green staining was performed on ankle joints.Anti-inflammatory indexes of interleukin-10(IL-10)and transforming growth factor-β1(TGF-β1)were detected by ankle joints immunohistochemical assay.The cecum contents of mice were collected,and changes in gut microbiota were analyzed by high-throughput sequencing of 16S rDNA.Results(1)After 7 days of treatment,compared with the MOD group,QRJD formula effectively reduced the blood concentrations of uric acid(P＜0.001),creatinine(P＜0.01),and urea nitrogen(P＜0.05),and effectively protected renal functions.(2)Compared with the MOD group,HE staining showed that synovial hyperplasia and inflammatory cell infiltration were reduced in the QRJD formula group after treatment.The cartilage arrangement of the compound was more orderly than before,cartilage destruction was less than that in the MOD group,and no matrix loss was observed.(3)Immunohistochemical analysis of the ankle joint indicated that IL-10 and TGF-β1 were not significantly increased in CON and MOD groups.Compared with the MOD group,IL-10 and TGF-β1 expression in the QRJD formula group were increased(P＜0.05).(4)In terms of biodiversity,the number of MOD-specific OTUs increased by 75 compared to the CON group,while the QRJD was able to reduce the number of MOD-specific OTUs to more closely resemble the CON group;no significant difference was found in α-diversity among the four groups(P＜0.05),whereas β-diversity was more similar to the CON group(P=0.001).(5)Compared with the CON group,the MOD group exhibited increased abundances(P＜0.05)of Ruminococcaceae spp.,Dubosiella sp.,Tyzzerella sp.,Ileibacterium sp.,and Bacteroidales spp..In contrast to the MOD group,the QRJD formula group showed elevated abundances(P＜0.05)of Lactobacillus sp.,Ligilactobacillus sp.,and Bacteroides sp..Furthermore,an interaction network of gut microbiota indicated mutual interactions among these microorganisms.(6)In the correlation analysis between gut microbiota and renal functions as well as anti-inflammatory factors,the relative abundances of Dubosiella sp.,Tyzzerella sp.,and Bacteroidales spp.were significantly positively correlated to SUA and SCR(P＜0.05).However,Lactobacillus sp.,Ligilactobacillus sp.,and Mitochondria spp.exhibited a positive correlation to anti-inflammatory factors IL-10 and TGF-β1 with a more significant association observed for TGF-β1(P＜0.05).(7)COG function prediction suggested that the functions of the QRJD formula group were concentrated on inorganic ion transport and metabolism,and carbohydrate transport and metabolism.Conclusions QRJD effectively modulates immune inflammation and gut microbiota dysbiosis,thereby treating gout.Its mechanism of gout prevention and treatment may involve regulation of gut microbiota diversity and abundance,as well as the control of the abundance of differential bacterial species,such as Ruminococcaceae spp.,Dubosiella sp.,and Lactobacillus sp.,to achieve gout therapy.

Humans ; Occupational Health ; Occupational Health Services