Chemistry Reference
In-Depth Information
Zamil et al.
(2009) (labeled Z in
Table 5.23
)
developed 7 QSARs to predict the
maximum biosorption capacity (
q
max
) of cations to the bacterium,
Staphylococcus
saprophyticus
BMSZ711. The QSARs developed with
X
r
2
and a combination of
ionic radius (IR) and standard reduction-oxidation potential, also known as the abso-
lute value of the electrochemical potential between the ion and its first stable reduced
state (ΔE
0
), were the most statistically significant (Table 5.23).
Several physicochemical properties were used 3 or more times to develop
QSARs for predicting the biosorption capacity of cations (labeled a-j in column 1 of
Table 5.23). The absolute value of the logarithm of the first hydrolysis constant (|log
K
OH
|), ionic index (Z
2
/r), and ionization potential (IP) (labeled a, b, and c in column
1 of Table 5.23) were used by Can and Jianlong (2007) to develop 3 QSARs each,
and all were statistically significant. The ionic potential (Z/r) was used by Can and
Jianlong (2007) to develop 3 QSARs (labeled d in column 1 of Table 5.23) and the
one used to predict the biosorption capacity of 7 cations with a r
2
of 0.91 was the
most statistically significant. The ion charge/atomic radius (Z/AR) was used by Can
and Jianlong (2007) to develop 3 QSARs (labeled e in column 1 of Table 5.23) and
the one with an r
2
of 0.81 was the most statistically significant. The atomic number
(AN)/the difference of the ionization potential in volts between its oxidation number
(OX) and the next lower one (OX - 1) (ΔIP), was used by Can and Jianlong (2007),
Chen and Wang (2007), and Zamil et al.
(2009) to develop 4 QSARs for predicting the
biosorption capacity of cations (labeled f in column 1 of Table 5.23), but none were
highly statistically significant. Can and Jianlong (2007), Chen and Wang (2007), and
Zamil et al.
(2009) used the covalent index
X
r
m
( )
to develop 4 QSARs for predicting
the biosorption capacity of cations (labeled g in column 1 of Table 5.23) and the one
with an r
2
of 0.87 was the most statistically significant. AN and AR/AW were used by
Can and Jianlong (2007), Chen and Wang (2007), and Zamil et al.
(2009) to develop
3 QSARs each for predicting the biosorption capacity of cations (labeled h and i in
column 1 of Table 5.23), but none were highly statistically significant.
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