New Organic Monitoring Techniques
Oral Presentation
Prepared by R. Addink, T. Hall
Fluid Management Systems, 900 Technology Park Drive, Billerica, Massachusetts, MA 01821, United States
Contact Information: [email protected]; 617-393-2396
ABSTRACT
Labor and solvent use in sample cleanup for environmental analysis of Persistent Organic Pollutants (POPs), such as polychlorinated dibenzo-p-dioxins (PCDDs), furans (PCDFs), and biphenyls (PCBs), are important factors that determine sample throughput and business-cost.
Manual techniques used in cleanup have historically involved large amounts of solvents and have been multiple day processes, with sample concentration steps after each column. Here we present a recently developed automated system with a multi-pump and a sample processing unit using a method that has been optimized for low solvent volume.
The automated system can be used to process up to six samples in parallel and is fast (30 - 45 min); a closed system with low chance of cross-contamination; use of certified pre-packaged columns with no native background; low energy cost (multi-pump only); and choice of various column kits (size of acid silica column varies depending on amount of lipid in sample). It uses two columns: acidified silica (fat removal capacity 0.15-7 g) and alumina. The columns are stacked on top of each other to form a column assembly. Solvents used are hexane, 10% dichloromethane-hexane, and dichloromethane.
The system runs samples with all 209 PCBs collected with 55 mL hexane and dichloromethane and excellent recoveries (13C labeled > 75%). The advantage is that the samples can contain considerable amounts of dichloromethane (~ 7 mLs), eliminating the need for solvent-exchange to hexane during blow-down prior to cleanup.
For combined PCDD/F and PCBs analysis, extracts in toluene can be processed without carbon column and total volume use of ~ 100 mLs, also collecting all 209 PCBs. 13C PCDD/F and 13C PCB recoveries were all > 75%.
The low amounts of solvent needed for these newly developed methods reduce sample concentration times prior to analysis and solvent cost, also leading to less time involved from lab technicians.

