Inductively coupled plasma-mass spectrometry (ICP-MS) is the most common technique for elements analysis at present. ICP-MS with high sensitivity and wide linear range can be applied to multi-elements analysis in blood and urine. This paper reviews the common means of sample pretreatment (direct dilution method and wet digestion method), the method for correction of mass spectral interference and non-interference, the main influence factors of analysis results, and provides an outlook of the application of ICP-MS in forensic toxicological analysis.
Body Fluids/chemistry* ; Humans ; Mass Spectrometry/methods* ; Metals, Heavy/urine* ; Microwaves ; Sensitivity and Specificity ; Specimen Handling/methods* ; Trace Elements/urine*

OBJECTIVES: This study assessed the factors that have an influence on the residents exposed to heavy metals, and we utilized the findings to establish the proper management of abandoned metal mines in the future. METHODS: For a total of 258 residents who lived close to abandoned mines in Gangwon-province and Gyeonggi-province, the exposure factors and biomarkers in their blood and urine were comparatively analyzed via multiple regression analysis. RESULTS: The blood levels of lead and mercury and the cadmium levels in urine were found to be higher in the study group than that in the average Korean. For the blood levels of heavy metals according to each exposure factor, all of them were found to be significantly higher in both of the group residing for a longer period of time and the group living closer to the source of pollutants. Multiple regression analysis disclosed that all the heavy metals, except lead, in their blood were significantly reduced in proportion to the increased distance of inhabitancy from the mines. Their other biomarkers were within the normal ranges. CONCLUSIONS: We found that the distance between the residential village and the mines was a factor that affects the blood level of heavy metals in the villagers. This finding could be an important factor when developing a management model for the areas that surround abandoned metal mines. (ED note: I much like this important study.)
Biological Markers/blood/urine ; Cadmium/blood/urine ; Cluster Analysis ; Environmental Exposure/*adverse effects ; Humans ; Lead/blood/urine ; Mercury/blood/urine ; Metals, Heavy/*blood/*urine ; Mining ; Republic of Korea ; Water Pollutants, Chemical/analysis ; Water Supply/analysis

BACKGROUND: Previous studies have suggested that exposures to heavy metals (arsenic, cadmium, lead, and selenium) may be associated with differences in blood pressure. However, the findings of these studies have been inconsistent. This study was performed to examine the associations between urinary heavy metal concentrations and blood pressure among residents of four Asian countries (Bangladesh, Indonesia, Nepal, and Vietnam). METHODS: This cross-sectional study examined 1899 adults in four Asian countries. Urinary concentrations of heavy metals were measured by inductively coupled plasma mass spectrometry. A questionnaire survey was administered regarding individual characteristics. Anthropometric measurements (height and weight) were performed. Systolic and diastolic blood pressures were measured after a short rest. Multiple linear regression models were applied to investigate associations between urinary heavy metal concentrations and blood pressure after adjustments for age, sex, and body mass index. RESULTS: The geometric means of the urinary concentrations of arsenic, cadmium, lead, and selenium were 84.6, 0.885, 2.09, and 16.5 μg/g creatinine, respectively. The urinary arsenic concentrations were slightly higher than those typically reported in non-polluted populations, while urinary cadmium, lead, and selenium concentrations were equivalent or slightly lower. The urinary lead concentrations were positively associated with both systolic and diastolic blood pressure, but urinary selenium concentrations were negatively associated with them. CONCLUSIONS Variations in the urinary concentrations of lead and selenium were associated with blood pressure at low levels of exposure/intake.
Adult ; Arsenic/urine* ; Bangladesh ; Blood Pressure ; Cadmium/urine* ; Cross-Sectional Studies ; Environmental Exposure ; Female ; Humans ; Indonesia ; Lead/urine* ; Linear Models ; Male ; Metals, Heavy/urine* ; Middle Aged ; Nepal ; Selenium/urine* ; Vietnam

OBJECTIVETo study the association between metal exposure and risk of diabetes and prediabetes among Chinese workers exposed to metals.

METHODSWe used data obtained from the baseline survey of the Jinchang Cohort Study of workers in Jinchang Industry, the largest nickel production company in China. A total of 42,122 workers ⋝20 years of age were included in the study. A standardized, structured questionnaire was used to collect epidemiological information. Physical examinations and laboratory tests were conducted to evaluate the health status of the participants and to measure various biomarkers including blood sugar, lipids, and urinary metal concentrations. Logistic regression was used to study the association between occupational groups categorized according to the measured metal levels (office workers, low-level; mining/production workers, mid-level; and smelting/refining workers, high-level) and risk of diabetes and prediabetes.

RESULTSThe overall prevalence of diabetes and prediabetes was 7.5% and 16.8%, respectively. The adjusted odds ratios for diabetes among mining/production workers and smelting/refining workers compared to office workers were 1.5 (95% CI: 1.3, 1.7) and 3.8 (95% CI: 3.4, 4.3), respectively. No association was observed between these occupational groups and prediabetes in this study.

CONCLUSIONOccupations associated with higher levels of metal exposure were associated with an increased risk of diabetes in this cohort. More studies are needed to confirm this observed association.

Adult ; China ; epidemiology ; Cohort Studies ; Female ; Humans ; Male ; Metals, Heavy ; toxicity ; urine ; Middle Aged ; Occupational Exposure ; adverse effects ; Prediabetic State ; chemically induced ; epidemiology

OBJECTIVES: To assess the protective effects of wearing protective devices among the residents and volunteers who participated in the cleanup of the Hebei Spirit oil spill. METHODS: A total of 288 residents and 724 volunteers were surveyed about symptoms, whether they were wearing protective devices and potential confounding variables. The questionnaires were administered from the second to the sixth week following the accident. Spot urine samples were collected and analyzed for metabolites of 4 volatile organic compounds (VOCs), 2 polycyclic aromatic hydrocarbons (PAHs), and 6 heavy metals. The association between the wearing of protective devices and various symptoms was assessed using a multiple logistic regression adjusted for confounding variables. A multiple generalized linear regression model adjusted for the covariates was used to test for a difference in least-square mean concentration of urinary biomarkers between residents who wore protective devices and those who did not. RESULTS: Thirty nine to 98% of the residents and 62-98% of volunteers wore protective devices. Levels of fatigue and fever were higher among residents not wearing masks than among those who did wear masks (odds ratio 4.5; 95% confidence interval 1.23-19.86). Urinary mercury levels were found to be significantly higher among residents not wearing work clothes or boots (p<0.05). CONCLUSIONS: Because the survey was not performed during the initial high-exposure period, no significant difference was found in metabolite levels between people who wore protective devices and those who did not, except for mercury, whose biological half-life is more than 6 weeks.
Adult ; Aged ; Biological Markers/urine ; *Disasters ; Environmental Exposure/*prevention & control ; Environmental Pollutants/*urine ; Female ; Gloves, Protective ; Humans ; Male ; Masks ; Metals, Heavy/urine ; Middle Aged ; Oceans and Seas ; *Petroleum ; Polycyclic Hydrocarbons, Aromatic/urine ; Protective Clothing ; *Protective Devices ; Respiratory Protective Devices ; Shoes ; Volatile Organic Compounds/urine ; Voluntary Workers