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. Author manuscript; available in PMC: 2015 Dec 22.
Published in final edited form as: Methods. 2013 Oct 22;66(1):106–119. doi: 10.1016/j.ymeth.2013.10.008

Table 2.

Results of the detection of dilution series of monoclonal IgE and IgG1. Dilution series of a monoclonal human IgE specific to Bet v 1 were tested by the MeDALL allergen-chip (left top) or Bet v 1-ImmunoCAP (right). A dilution series of a monoclonal human IgG1 specific to Phl p 2 was tested by the MeDALL allergen-chip (left bottom). Mean results and standard deviations of triplicate measurements are shown in ISU and ISU-G, respectively, for the microarray and in UA/ml for ImmunoCAP. For each dilution, variation coefficients (%CV) and signal-to-noise ratios (SNR) are shown. Orange boxes at the bottom of every table display results obtained for the sample diluent used for diluting the monoclonal antibodies.

MeDALL-chip
Bet v 1-specific monoclonal IgE
IgE-conc.
(ng/ml)
ISU %CV mean
%CV
SD
%CV
SNR mean
SNR
SD
SNR
Mean SD
640 132.02 2.26 1.7 7.7 5.5 58.5 22.7 21.2
320 102.88 16.36 15.9 6.3
32 23.30 1.83 7.9 12.7
3.2 3.12 0.29 9.3 10.8
1.6 1.67 0.07 4.0 25.1
0.8 0.97 0.24 24.1 14.1 6.8 4.1 8.5 3.9
0.4 0.51 0.05 9.3 10.7
0.2 0.28 0.04 12.4 8.1
0.1 0.18 0.03 17.5 5.7
0.05 0.14 0.01 7.1 14.0
0 0.10 0.01 10.0 10.0
Phl p 2-specific monoclonal IgG1
IgG-conc.
(ng/ml)
ISU-G %CV mean
%CV
SD
%CV
SNR mean
SNR
SD
SNR
Mean SD
1000 181.22 15.12 8.3 14.9 7.9 12.0 8.1 3.6
500 161.01 16.26 10.1 9.9
100 117.53 17.70 15.1 6.6
10 31.61 8.21 26.0 3.8
1 4.82 1.25 25.8 16.3 10.4 3.9 21.0 34.4
0.4 2.33 0.03 1.2 82.4
0.3 1.64 0.31 18.6 5.4
0.2 1.11 0.12 10.8 9.3
0.1 0.59 0.15 25.0 4.0
0 0.02 0.01 50.0 2.0
Bet v 1 ImmunoCAP
Bet v 1-specific monoclonal IgE
IgE-conc.
(ng/ml)
UA/ml %CV mean
%CV
SD
%CV
SNR mean
SNR
SD
SNR
Mean SD
312.5 91.20 3.35 3.7 2.7 1.4 27.3 50.1 33.6
39.1 10.57 0.29 2.7 36.6
19.5 5.49 0.26 4.7 21.4
7.8 2.16 0.05 2.1 47.1
3.9 1.14 0.01 0.9 114.0
2.0 0.63 0.01 1.8 54.3
1.0 0.36 0.01 3.2 2.3 2.0 30.9 29.0 2.7
0.5 0.22 0.00 0.0 -
0.2 0.16 0.01 3.7 27.1
0 0.09 0.01 6.2 16.2