RESUMO
Objective To investigate the current status of radiation protection in non-medical radiation workplaces in Yantai, China, and to provide a scientific basis for occupational health management in non-medical radiation workplaces. Methods Non-medical radiation workplaces in Yantai were investigated using a questionnaire survey in 2022, including radiation source term, occupational health examination, personal dose monitoring, personal protective equipment, and radiation protection testing workplaces. Data were entered by a double-entry method and then analyzed. Results There were 56 non-medical radiation workplaces in Yantai, covering manufacturing, nonferrous metal ore mining, nuclear power plant, transportation, and technical services. There were 0 Class I radiation device, 150 Class II radiation devices, and 10 Class III radiation devices; there were 80 Class I radiation sources, 16 Class II radiation sources, 14 Class III radiation sources, 62 Class IV radiation sources, and 135 Class V radiation sources. There were 998 radiation workers, with an occupational health examination rate and personal dose monitoring rate of 98.3%. Among the 56 non-medical radiation workplaces, 47 (83.9%) were equipped with radiation protection monitoring instruments, 24 (51.1%) workplaces had verified the radiation protection monitoring instruments, with 2017 personal dose monitoring instruments and 2327 personal protective equipment in place, 42 (75%) workplaces carried out occupational health assessments, 44 (78.6%) workplaces carried out self-detection, and 53 (94.6%) workplaces carried out entrusting detections (monitoring pass rate: 100% [53/53]). The declaration rate of occupational hazard items was 87.5% (49/56). Conclusion There is still a gap between the current status and the requirements in the national regulations and standards regarding radiation protection in non-medical radiation workplaces. Therefore, the supervision and management of non-medical radiation workplaces should be further strengthened, especially the configuration and verification of radiation protection monitoring instruments.
RESUMO
OBJECTIVE：To investigate the effects of dihydroartemisinin （DHA）on the metabolism of amino acid metabolites in human hepatocellular carcinoma cells Huh 7 and BEL- 7402，and to provide theoretic basis for clarifying the mechanism of DHA regulating the metabolism of hepatocellular carcinoma cells. METHODS ：CCK-8 method was taken to detect the effect of different concentrations of DHA （12.5，25，50，100 µmol/L）treating for 24，48，72 h on the two kinds of cells. Two kinds of cells were divided into control group and administration group （DHA，25 µmol/L），and then cultured with drug-free or drug-containing medium for 24 h，operated in parallel for three times. After derivatization of cell samples in each group ，GC-MS method was used to detect the content of amino acid metabolites ，combined with SIMCA-P software analysis and compound library comparison ，the differential metabolites in two kinds of cells were screened out. The pathway enrichment analysis of differential metabolism was conducted with Metaboanalyst 4.0 software. RESULTS ：Compared with control group ，the contents of glutamine ，glutathione， phenylalanine，fumaric acid and taurine were trending down in Huh 7 or BEL- 7402 cells. There were 28 and 29 differential metabolites obtained from the above two kinds of cells ，and 10 of them were common differential metabolites ，including glutamine，glutathione，taurine，fumaric acid ，phenylalanine，etc. The differential metabolites were enriched in 8 and 6 pathways respectively. The common enrichment pathways were amino acid-tRNA biosynthesis ，aspartate-alanine-glutamate metabolism ， nitrogen metabolism ，phenylalanine metabolism and pentose phosphate pathway ，etc. CONCLUSIONS ：DHA can significantly reduce the activities of Huh 7 cells and BEL- 7402 cells，and the contents of glutamine ，glutamic acid ，glutathione and phenylalanine，etc. It may regulate the growth of the two kinds of cells by influencing the mechanism of aspartic acid- alanine-glutamate metabolic pathway ，etc.