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2
Examples of PBDE data acquired on the TSQ 8000
GC-MS are shown in Table 1 and Figure 1. Also of interest
are applications that utilize halogenated derivatized
reagents, such as the analysis of estrogenic compounds or
tetrahydrocannabinol (THC) in hair.
CI Method Development
Compared to EI, CI is not as widely used in GC-MS/MS.
Consequently, there is not a significant amount of
reference information available to help with the setting up
of new methods. This technique has the potential to be an
unfamiliar and laborious method development process for
laboratories. It’s especially complex for applications like
this, which offers a compelling reason to use the TSQ
8000 GC-MS system.
How the TSQ 8000 GC-MS Can Assist CI
Method Development
1. The stages of instrument set-up and method develop-
ment are all manageable through smart software tools
integrated into the workflows needed for both positive
and negative mode CI.
2. The TSQ 8000 GC-MS automatically handles CI
source tuning and optimization, and offers automated
switching between two CI gases.
3. AutoSRM software walks you through the CI method
development process to obtained fully optimized SRM
transitions (see Figure 2).
4. The TSQ 8000 GC-MS method, linked with
AutoSRM, can automatically import developed CI
SRMs and optimize MS/MS acquisition for maximum
sensitivity through timed-SRM.
5. Thermo Scientific TraceFinder Software methods can
also import compound information, control sequences,
and quantify target compounds
6. Sample probes, which enable sample placement
directly into the source, allow for fast and easy
compound characterization of solids or liquids in CI,
further facilitated by MS/MS which is available on the
TSQ 8000 GC-MS system.
MDLs @ 99% Confidence Level n = 8
PBDE # Concentration Range
Measured (pg/µL)
RSD R
2
Value MDL
(pg/µL)
47
0.5–250
7% 0.9999 0.106
99
0.5–250
5% 0.9997 0.081
100
0.5–250
8% 0.9995 0.113
153
1-500
5% 0.9996 0.147
154
1-500
9% 0.9997 0.276
Table 1. Quantitative performance for PBDEs using NCI SRM on the TSQ 8000
GC-MS System.
Figure 2. AutoSRM precursor ion selection PBDE
