China is thought to be the most important contributor to the global burden of carbonaceous aerosols, and residential coal combustion is the greatest emission source of black carbon (BC). In the present study, two high-efficiency household coalstovesaretestedtogetherwithhoneycomb-coal-briquettesandrawcoal-chunks of nine different coals. Coal-burning emissions are collected onto quartz fiber filters (QFFs) and analyzed by a thermal-optical transmittance (TOT) method. Emission factors (EFs) of particulate matter (PM), organic carbon (OC), and elemental carbon (EC) are systematically measured, and the average EFs are calculated by taking into account our previous data. For bituminous coal-briquette and -chunk, EFs of PM, OC, and EC are 7.33, 4.16, and 0.08 g/kg and 14.8, 5.93, and 3.81 g/kg, respectively; and for anthracite-briquette and -chunk, they are 1.21, 0.06, and 0.004 g/kg and 1.08, 0.10, and 0.007 g/kg, respectively. Annual estimates for PM, OC, and EC emissions in China are calculated for the years of 2000 and 2005 according to the EFs and coal consumptions, and the results are consistent with our previous estimates. Bituminous coal-chunk contributes 68% and 99% of the total OC and EC emissions from household coal burning, respectively. Additionally, a new model of Aethalometer (AE90) is introduced into the sampling system to monitor the real-time BC concentrations. On one hand, AE90 provides a set of EFs for optical BC in parallel to thermal-optical EC, and these two data are generally comparable, although BC/EC ratios vary in different coal/stove combinations. On the other hand, AE90 offers a chance to observe the variation of BC concentrations during whole burning cycles, which demonstrates that almost all BC emits into the flue during the initial period of 15 min after coal addition into household stoves.
The capacity for quantification of active metabolites of vitamin D (VitD) is highly valuable to evaluate the risks and therapies for numerous diseases such as multiple sclerosis. However, the extremely low circulating levels and poor detectability of some dihydroxyl metabolites such as the 1alpha,25-dihydroxy-VitD(3) constitute a daunting challenge. Based on the combination of a selective solid-phase extraction (SPE) and a microflow liquid chromatography tandem mass spectrometry (microLC-MS/MS), we developed an ultrasensitive method for the robust, selective, and accurate quantification of four key VitD metabolites, including 25-hydroxy-VitD(2), 25-hydroxy-VitD(3), 24(R),25-dihydroxy-VitD(3), and 1alpha,25-dihydroxy-VitD(3), in serum samples. A one-step derivatization was employed to improve the ionization efficiency of the metabolites. The SPE procedure was optimized so that the analytes were selectively extracted from serum, while the sample matrix was substantially simplified. By eliminating majority of undesirable compounds from the matrix, the selective SPE enabled a high sample loading volume on the microLC column without causing overcapacity of the microLC column and thus helped to achieve ultralow detect limits in serum. An on-column sample focusing approach was employed to prevent band-broadening, and a sufficient microLC separation was achieved to eliminate endogenous interferences and to minimize ion suppression effect. Detect limits of the four metabolites ranged from 0.5-1 pg/mL, and the linearity was excellent for all compounds. The method showed high quantitative accuracy (error < 13.8%) and precision (CV < 14.1%). For 1alpha,25-dihydroxy-VitD(3), a lower limit of quantification (LLOQ) of 5 pg/mL was validated. This high level of sensitivity, for the first time, enabled the robust and consistent LC/MS/MS-based analysis of the four metabolites in a large-scale clinical investigation. Serum samples from 281 multiple sclerosis patients and 22 healthy subjects were analyzed, and it was discovered that the levels of both 24(R),25-dihydroxy-VitD(3) and 1alpha,25-dihydroxy-VitD(3) were significantly lower in patients than healthy subjects (P < 0.05). This novel observation may imply that the incidence of multiple sclerosis is inversely associated with the levels of the two metabolites. Moreover, the method was highly robust and reproducible as evaluated extensively in the clinical analysis; therefore, it could serve as a more selective and accurate alternative to immunoassay for large-scale clinical studies.
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