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6
Targeted Quantitation of Insulin and Its Therapeutic Analogs for Research
Conclusions
Automated sample extraction is amenable to high-throughput analysis,
thus decreasing sample preparation times.
Insulin MSIA D.A.R.T.’S equivalently extract multiple insulin variants
present at different concentrations for simultaneous detection and
quantification for research.
HRAM MS affords qualitative confirmation and quantification of the insulin
variants present in one LC/MS run.
Pinpoint software version 1.3 provides automated data extraction,
confirmation, and quantification for all insulin analogs.
Reduced complexity affords shorter LC gradients, and, therefore, shorter
LC/MS analysis times.
An LLOD < 15 pM and an LLOQ of 15 pM (87 pg/mL) in 0.5 mL of plasma
were achieved.
Intra- and inter-day repeatabilities were < 3%, thus making the insulin
MSIA workflow highly reproducible.
References
1. Thevis, M, Thomas, A., Schänzer, W. Mass Spectom. Reviews
2008
,
27(1)
, 35-50.
Acknowledgements
The authors would like to thank Dr. Stephan Morely from the Sheffield Hospital,
UK for the donation of the insulin variants used in the study.
For Research Use Only. Not for use in diagnostic procedures.
Humulin is a registered trademark of Eli Lilly. Lantus and Apidra are trademarks of Sanofi-Aventis. All other
trademarks are the property of Thermo Fisher Scientific and its subsidiaries.
This information is not intended to encourage use of these products in any manners that might infringe the
intellectual property rights of others.
PO64078-EN 0614S
%CV
Accuracy
.04%
40.80%
.46%
11.87%
.85%
-3.46%
.75%
-2.66%
.69%
-3.39%
.20%
-3.06%
.04%
-1.41%
.67%
0.34%
ev
Plus 4
StDev
05
4.57E+05
TABLE 5. Spike and recovery
Sample
Spike Conc.
(pM)
Exp. Conc.
(pM)
Average
(pM)
Exp Recovery
Conc. (pM)
% Yield
Neat_1
0.00
43.79
44.59
Neat_2
45.59
Neat_3
44.38
Low_1
19.50
65.08
64.11
19.52
100.12%
Low_2
63.65
Low_3
63.61
Medium_1
199.50
241.19
237.56
192.97
96.73%
Medium_2
239.80
Medium_3
231.70
High_1
919.50
960.91
928.63
884.05
96.14%
High_2
905.35
High_3
919.64
%CV
Accuracy
3
2.43%
%CV
Accuracy
2
2.15%
h Workflow
M (highlighted in red in
tion where we could achieve a
achieved for the insulin MSIA
entration where the mean total
ckground signal added to the