New Analytical Method of Aroclor and Organochlorine Pesticides in Ground Water
New Environmental Monitoring Techniques for Organics
Poster Presentation
Prepared by R. Kitano, B. Prakash, R. Marfil-Vega
Shimadzu Scientific Instruments, Inc., 7102 Riverwood Dr, COLUMBIA, MD, 21046, United States
Contact Information: [email protected]; 410-910-0821
ABSTRACT
ASTM WK54549 is a new method for quantifying pesticides and Aroclor in a single run. The method follows the sample extraction protocol from US EPA method 625.1 and could also be run as a replacement for US EPA method 608. This method does not require confirmation of every detected component on a separate, dissimilar stationary phase GC column, like US EPA method 608, owing to the high selectivity of triple quadrupole GC-MS/MS. In addition, this method substitutes the visual pattern recognition with a traceable and reliable mathematical calculation for determining the type of Aroclor and quantifying the individual components. Shorter data acquisition and processing time enabled by this GC-MS/MS method will ultimately decrease the turn-around-time for the simultaneous analysis of pesticides and Aroclor in environmental samples. In this study, the performance of this new analytical method for analyzing river water and effluent will be demonstrated.
New Environmental Monitoring Techniques for Organics
Poster Presentation
Prepared by R. Kitano, B. Prakash, R. Marfil-Vega
Shimadzu Scientific Instruments, Inc., 7102 Riverwood Dr, COLUMBIA, MD, 21046, United States
Contact Information: [email protected]; 410-910-0821
ABSTRACT
ASTM WK54549 is a new method for quantifying pesticides and Aroclor in a single run. The method follows the sample extraction protocol from US EPA method 625.1 and could also be run as a replacement for US EPA method 608. This method does not require confirmation of every detected component on a separate, dissimilar stationary phase GC column, like US EPA method 608, owing to the high selectivity of triple quadrupole GC-MS/MS. In addition, this method substitutes the visual pattern recognition with a traceable and reliable mathematical calculation for determining the type of Aroclor and quantifying the individual components. Shorter data acquisition and processing time enabled by this GC-MS/MS method will ultimately decrease the turn-around-time for the simultaneous analysis of pesticides and Aroclor in environmental samples. In this study, the performance of this new analytical method for analyzing river water and effluent will be demonstrated.
