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Vironex Environmental Field:ices -HRC Page 2 of 5 <br /> provided the technical expertise to integrate the MIP with the <br /> HAPSITE@. <br /> System Improvements: The HAPSITEQ offers system improvement! <br /> in a number of ways. First, the HAPSITE@ utilizes an integrated three- <br /> phase carbon trap which concentrates the MIP effluent allowing for <br /> increased sensitivity. (Note: this trapping concept is already being use <br /> with traditional detectors in an attempt to increase MIP sensitivity). <br /> Second, the mass spec is a universal detector that is able to detect an <br /> confirm the presence of MTBE. Traditional PID/FID detectors are unab <br /> to reliably detect MTBE due to their inherent design. The FID is prone <br /> to many false positives and the PID has insufficient ionization potentia <br /> to detect MTBE at all but the highest concentrations. The third, and <br /> most important improvement that the integrated MIP-HAPSITE@ <br /> system offers is the ability for 100% in-situ identification of subsurfac( <br /> contaminants. This is accomplished by comparing the mass spectrum <br /> of an unidentified component against a reference library such as the <br /> National Institute of Standard and Technology (NIST) Mass Spectral <br /> Database. <br /> Laboratory Testing Results: The first phase of laboratory testing <br /> was to determine the sensitivity of the integrated MIP-HAPSITE@ <br /> system using standards prepared in 500 mL of water. Geoprobe@ use <br /> this technique to simulate real world MIP field response. The goal was <br /> to see to what extent the sensitivity could be increased in the typical <br /> 45-second exposure time that is used for the FID/PID/ECD response <br /> testing outlined in Geoprobe's@ MIP Standard Operating Procedure <br /> (SOP). <br /> The MIP carrier gas flow was split 50:50 and sent equally to traditiona <br /> in-line PID/DELCD detectors and to the HAPSITE@. This approach <br /> allows for real time contaminant logging data as well as for increment; <br /> (typically 5-10 ft interval) GC/MS trapping/speciation data collection <br /> (see figure 1 for example). <br /> Figure 1. Example of traditional MIP data integrated with incremental GC/MS data. <br /> NIP Log 1 Swulto Building <br /> Worth 30'51.00911 Min i Yes[97'97.20840 Min <br /> 388 Conduotivily Log <br /> 230 <br /> 200 <br /> 150 <br /> a 100 <br /> SO <br /> CC�Y 0 <br /> O 5 10 15 20 25 30 <br /> D.ptL(Ft) <br /> Real Time Conductivity Logging Data (Lithology of Subsurface) <br /> t^ 9.00E+05 ._.__-.-......._ ...__--._._...._ ............_._... .... _..............._...................____..._._-...-__ ......_.............-.._..-1 <br /> �r 2.30E+OS <br /> w 7.00E-05 <br /> • 1.50E+05 <br /> I.00E+05 <br /> S00E.0d <br /> K 0.00[.00 <br /> 0 5 10 15 20 25 30 <br /> Dept\[ft] <br /> http://www.vironex.com/pages/support_hapsite_mlp.html 1/10/2006 <br />