| Summary: | 博士 === 慈濟大學 === 醫學科學研究所 === 107 === Because Taiwan is located in the sub-tropic area using tons of pesticides, the risk assessment of pesticides has become a public health issue. Generally, measures of risk assessment of pesticides are environmental monitoring and biological markers. Most researches on analysis aim at single type of pesticides, and few study the correlation between various human biomarkers.
Thus, the purpose of this study includes application of gas chromatography–mass spectrometry (GC/MS) with selected ion monitoring (SIM) mode for analysis of environmental dust samples and human biomarkers (blood and urine), and pre-analysis sample extraction. In addition, the interest also lies in the correlation between blood and urinary biomarkers. A series of dust, blood and urine samples were prepared for this GC/MS method testing, and a total of 30 household dust samples, blood and urine samples from 35 pregnant subjects were also collected.
The quality assurance and quality control (QA/QC) of the methods show high stability for various concentrations. The low concentration (0.5 µg/L) sample extraction recovery rates are 93.64% for dust samples, 93.45% for blood samples, and 94.36% for urine samples with an average limit of detection being 0.05ug/L. The household dust samples show no consistency between the indoor and outdoor concentrations of target pesticides (|Kappa| <0.15), suggesting different sources of pesticides. The analytic result comparison of blood and urine samples (prepared at 10 µg/L) from using GCMS and commonly used liquid chromatography-mass spectrometry (LC/MS) indicates similarity, suggesting that this GC/MS method is no inferior to the LC/MS method. Each subject’s pesticides in blood and metabolites in urine were summed up by molar concentration (µmol/L) for organophosphates (OP) and pyrethroids (PYR). The correlations were highly significant between pesticides in blood and metabolites in urine for OP (r = 0.786) and PYR (r = 0.848) (p <0.001), suggesting that blood samples could be used as well as urine samples for biomonitoring.
Compared with the common LC/MS method, this method of GC/MS costs relatively low, and requires relatively short time of maintenance. It can be easily applied for multi-type pesticide analysis with highly stable QA/QC result. This study provides a useful alternative to the regular LC/MS method for routine analysis of risk assessment research.
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