Biomedical Engineering Reference
In-Depth Information
The fit is poor. Only three data points are available. The availability of more data points
would lead to a more reliable fit. The poor fit is also reflected in the estimated value of
the rate coefficient. The error is large, and thus only the positive value is given as the rate
coefficient value cannot have a negative value. The binding rate coefficient,
k
, value exhibits
only a very low (equal to 0.1681) order of dependence on the SEB concentration in solution
in the range analyzed.
Figure 14.9b
and
Table 14.6
show the increase in the dissociation rate coefficient,
k
d1
, with
an increase in the SEB concentration (in fM) in solution for a dual-fractal analysis. For the
data shown in
Figure 14.9b
, the dissociation rate coefficient,
k
d1
, is given by:
0
:
3229
0
:
0815
k
d
¼ð
0
:
002823
þ
0
:
00381
Þ½
SEB, in fM
ð
14
:
6b
Þ
The fit is reasonable. The points are at extreme ends of the plot. Only four data points are
available. The availability of more data points along with some points in the intermediate
SEB concentration range would lead to a more reliable fit. The poor fit is also reflected in
the estimated value of the rate coefficient. The error is large, and thus only the positive value
is given as the rate coefficient value cannot have a negative value. The dissociation rate coef-
ficient,
k
d
, value exhibits only a very low (equal to 0.3229) order of dependence on the SEB
concentration in solution in the range analyzed.
Figure 14.9c
and
Tables 14.6
and
14.7
show the increase in the dissociation rate coefficient,
k
d1
, with an increase in the fractal dimension,
D
fd1
, for a dual-fractal analysis. For the data
shown in
Figure 14.9c
, the dissociation rate coefficient,
k
d1
, is given by:
D
0
:
4547
0
:
2214
k
d1
¼ð
0
:
0797
þ
0
:
258
Þ
ð
14
:
6c
Þ
fd1
The fit is very poor. Only three data points are available. The availability of more data may
provide for a better fit. The very poor fit is also reflected in the estimated value of the rate
coefficient. The error is large, and thus only the positive value is given as the rate coefficient
value cannot have a negative value. The dissociation rate coefficient,
k
d1
, value exhibits close
to one half (equal to 0.4547) order of dependence on the fractal dimension,
D
fd1
, present on
the sensor chip surface in the initial dissociation phase.
Fonfria et al. (2007)
have recently used a SPR-based biosensor in shellfish based matrixes
to detect PSP toxins in contaminated shellfish. These authors point out that this is essential
for human health conservation. Also, for ethical and technical reasons an alternative (detection
method) to the mouse array is required. These authors used an inhibition assay using an anti-
GTX2/3 antibody (GT-13-A) and a STX-CM5 chip. These authors were able to make quantita-
tive the amounts of STX, dcSTX, GTX2/3, decarbamyl gonyautoxin 2,3 (dcGTX 2/3), GTX5,
and C1,2 (C1/2) at concentrations ranging from 2 to 50 ng/mL. These authors explain that the
technology that they have developed can be used as a PSP screening assay. Furthermore, they
