Publications by authors named "Shuangye Pan"

In order to obtain a detailed picture of pollution by organic micro-pollutants in Vietnamese rivers, 940 semi-volatile organic compounds in river sediments collected from four major cities were examined by a comprehensive gas chromatography-mass spectrometry-database. The number of detected chemicals at each site ranged from 49 to 158 (median 96 out of 940) with 185 analytes detected at least once in the survey. The substances detected with high frequency (over 80%) and high concentrations were n-alkanes, phthalates, sterols and PAHs.

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Urban societies are using an increasingly diverse array of chemicals, many of which ultimately end up accumulating in urban harbors, where they can act as contaminants alone or as part of a mixture. In attempt to grasp a more complete picture of anthropogenic chemicals in an urban harbor, we analyzed 940 organic chemicals in sediments in Tokyo Bay, one of the most densely populated and modernized areas in the world. For the chemical analysis, we used targeted analytical methods using a GC-MS-MS and a GC-MS-SIM, and a screening analysis using an automated identification and quantification system with a GC-MS database.

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A comprehensive analytical method for nearly 1000 semi-volatile organic compounds (SVOC) in sediments has been developed using an automated identification and quantification system with a GC-MS database. The results of recovery tests using model compounds, which comprise of 119 non-polar to polar compounds, showed that the method can quantitatively analyze most SVOC, except for very polar substances. Analytical results of a standard reference material were close to certified concentrations.

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Dokai Bay in Kitakyushu, Japan, is polluted with complex mixtures of micro-pollutants originating from the extensive industry and urbanization. In order to evaluate effects of these micro-pollutants on benthic organisms in this almost completely enclosed bay, we screened for the occurrence of approximately 900 organic chemicals and heavy metals, and in addition quantified the density and biomass of benthic animals. For the chemical analysis, we used a newly developed comprehensive analytical method using an automated identification and quantification system with a GC-MS database.

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