01.12.2012 Views

Analysis of Fluorescence Decay by the Nonlinear Least Squares ...

Analysis of Fluorescence Decay by the Nonlinear Least Squares ...

Analysis of Fluorescence Decay by the Nonlinear Least Squares ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

RESULTS OF ANALYSIS BY<br />

D a = 0.5 ns; ,=0.25 ns; FWHM = 0.9 ns<br />

TABLE II<br />

METHODS I AND II OF DATA SIMULATED USING<br />

R(t) = W(e -e-t/0)<br />

(AIIA2)* 7,* CH1SQ*<br />

I II I II I II<br />

10,0.2,1,2 10.07 ± 0.03 9.90 ± 0.03 0.198 ± 0.001 0.201 ± 0.001 1.05 ± 0.13 1.06 ± 0.15<br />

1,0.2,1,2 1.03 ± 0.01 1.00 ± 0.01 0.195 ± 0.002 0.200 ± 0.002 1.12 ± 0.07 1.10 ± 0.06<br />

10,0.1,1,2 10.21 ± 0.05 9.48 ± 0.05 0.098 ± 0.001 0.104 ± 0.001 1.12 ± 0.08 1.15 ± 0.07<br />

1,0.1,1.2 1.05 ± 0.02 0.96 ± 0.02 0.096 ± 0.002 0.104 ± 0.002 1.07 ± 0.07 1.06 ± 0.08<br />

10,0.05,1,2 10.40 ± 0.14 8.23 ± 0.07 0.048 ± 0.001 0.058 ± 0.001 1.09 ± 0.16 1.19 ± 0.14<br />

1,0.05,1,2 1.13 ± 0.06 0.86 ± 0.03 0.045 ± 0.003 0.056 ± 0.002 1.03 ± 0.06 1.03 ± 0.07<br />

10,0.02,1,2 10.85 ± 0.30 5.42 ± 0.05 0.018 ± 0.001 0.031 ± 0.001 1.02 ± 0.04 1.05 ± 0.03<br />

1,0.02,1,2 1.27 ± 0.19 0.58 ± 0.03 0.017 ± 0.003 0.030 ± 0.003 1.01 ± 0.14 1.01 ± 0.14<br />

E a = 1.0 ns; =0.5 ns; FWHM = 1.75 ns<br />

10,0.1,1,2 10.10 ± 0.08 9.39 ± 0.06 0.099 ± 0.001 0.105 ± 0.001 1.16 ± 0.28 1.22 ± 0.29<br />

1,0.02,1,2 1.40 ± 0.06 0.57 ± 0.06 0.017 ± 0.006 0.029 ± 0.006 1.09 ± 0.13 1.09 ± 0.13<br />

F a = 2.5 ns; 3= 1.0 ns; FWHM = 4.0 ns<br />

10,0.1,1,2 10.03 ± 0.09 9.33 ± 0.07 0.100 ± 0.001 0.106 ± 0.001 1.03 ± 0.05 1.05 ± 0.05<br />

1,0.02,1,2 0.90 ± 0.22 0.54 ± 0.05 0.24 ± 0.005 0.031 ± 0.005 0.98 ± 0.04 0.98 ± 0.04<br />

*Average and standard deviation <strong>of</strong> ten values.<br />

$rl and T2 are in nanoseconds.<br />

G y = 0.2 ns; FWHM =0.65 ns<br />

TABLE III<br />

RESULTS OF ANALYSIS BY METHODS I AND II OF DATA SIMULATED USING<br />

R(t) = Wt2e-t'y<br />

(AIIA2)* T,* CH1SQ*<br />

I II I II I II<br />

10,0.2,1,2 9.98 ± 0.04 9.82 ± 0.04 0.201 ± 0.001 0.204 ± 0.001 1.53 ± 0.15 1.86 ± 0.15<br />

1,0.2,1,2 0.99 0.01 0.96 ± 0.01 0.203 ± 0.002 0.208 ± 0.002 1.33 ± 0.15 1.42 ± 0.16<br />

10,0.1,1,2 9.87 ± 0.04 9.21 ± 0.04 0.102 ± 0.001 0.107 ± 0.001 1.54 ± 0.14 2.10 ± 0.18<br />

1,0.1,1,2 0.94 + 0.02 0.87 ± 0.02 0.107 ± 0.002 0.115 ± 0.002 1.24 ± 0.06 1.33 ± 0.07<br />

10,0.05,1,2 9.58 _ 0.10 7.82 ± 0.05 0.052 ± 0.001 0.061 ± 0.001 1.51 ± 0.20 2.04 ± 0.25<br />

1,0.05,1,2 0.82 _ 0.02 0.69 ± 0.01 0.062 ± 0.002 0.072 ± 0.002 1.22 ± 0.12 1.28 ± 0.12<br />

10,0.02,1,2 8.56 ± 0.19 4.98 ± 0.04 0.024 ± 0.001 0.035 ± 0.001 1.27 ± 0.16 1.42 ± 0.18<br />

1,0.02,1,2 0.48 +0.04 0.36 ± 0.02 0.044 ± 0.003 0.055 ± 0.003 1.07 ± 0.08 1.09 ± 0.08<br />

H y = 0.5 ns; FWHM =1.7 ns<br />

10,0.1,1,2 9.86 ±0.09 9.21 ± 0.07 0.102 ± 0.001 0.107 ± 0.001 1.17 ± 0.09 1.28 ± 0.08<br />

1,0.02,1,2 0.54 _ 0.11 0.36 ± 0.05 0.039 ± 0.008 0.049 ± 0.008 1.09 ± 0.12 1.09 ± 0.12<br />

I y=0.1;FWHM=0.35ns<br />

10,0.1,1,2 9.94 + 0.04 9.28 ± 0.03 0.101 ±_ 0.107 ± 2.34 ± 0.27 3.78 ± 0.38<br />

1,0.02,1,2 0.52 ± 0.03 0.37 ± 0.01 0.040 ± 0.003 0.052 ± 0.003 1.26 ± 0.15 2.00 ± 0.08<br />

*Average and standard deviation <strong>of</strong> ten values.<br />

5Tl and T2 are in nanoseconds.<br />

1Standard deviation is

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!