Experimentation and Evaluation of Biodegradative Kinetic …
173
30 °C. The lower and higher temperature affected the bacterial growth in the synthetic
medium containing NO 3
− .
The NO 3
− removal by bacterial consortium was severely influenced by various
pH. The maximum level 99.4% of NO 3
− was reducedat pH 7 and at 30 °C. The nature
of alkaline and acidic conditions may interfere in NO 3
− reduction. Carrera et al.
(2003) studied hydrogenotrophic denitrification using a fluidized bed sand reactor and
showed that the optimum pH for NO 3
− removal was 7.5. The consortium functions
to its maximum at neutral pH and since pH of drinking water is normally near neutral
the consortium might have effectively reduced NO 3 .
3.3 Growth Kinetics of Nitrate Removal
The first-order kinetic model of substrate utilization (Eq. 13.1) and R
2 , the determinant coefficient was demonstrated (Table 2). It was observed that, the increasing
level of starch concentration invers the first-order rate constant, unless it reaches
equilibrium. As the favourable starch concentration was fixed with the consecutive
test with different temperature, pH and cell mass, there was no correlation observed
in rate constant.
The maximum specific removal rate (μ), calculated by Lineweaver–Burk plot
using the concept of Monod model for different starch concentration, temperature,
pH and cell inoculum was 7.6923, 0.0009, 0 and 0.0617 respectively. From this
result, it is obvious that increasing the starch concentration increases the bacterial
growth and leads to higher removal of nitrate and pH makes the effective impact
even in bit variation in neutral condition. These results were further, verified with
considering the variables as independent by Friedman test. Table 3 describes the
results of difference between mean ranks towards factors on role description. At,
5% significant level, cell concentration is the most important factor followed by
temperature in par with pH and starch concentration.
The specific growth rate (degradation rate of nitrate) parameter is Haldane’s
kinetic model was illustrated in Fig. 4. In case of starch, temperature and pH, the
specific growth rate increases along with the initial concentration up to a certain
maximum value, then the rate decrease.
3.4 Removal of Nitrate from Drinking Water in Lab Scale
Study
Water sample containing 100 mg/Lof NO 3
− amended with 1% starch was treated with
bacterial consortium(KW1 + YW4) in lab scale was reduced 99.4% of NO 3
− and also
increased in numbers (85 × 10
4 CFU/mL) after 48 h. During the process of NO 3
−
reduction, 3.2 mg/L and 8.4 mg/L of NO 2
− and NH 4
+ respectively were formed in
173
30 °C. The lower and higher temperature affected the bacterial growth in the synthetic
medium containing NO 3
− .
The NO 3
− removal by bacterial consortium was severely influenced by various
pH. The maximum level 99.4% of NO 3
− was reducedat pH 7 and at 30 °C. The nature
of alkaline and acidic conditions may interfere in NO 3
− reduction. Carrera et al.
(2003) studied hydrogenotrophic denitrification using a fluidized bed sand reactor and
showed that the optimum pH for NO 3
− removal was 7.5. The consortium functions
to its maximum at neutral pH and since pH of drinking water is normally near neutral
the consortium might have effectively reduced NO 3 .
3.3 Growth Kinetics of Nitrate Removal
The first-order kinetic model of substrate utilization (Eq. 13.1) and R
2 , the determinant coefficient was demonstrated (Table 2). It was observed that, the increasing
level of starch concentration invers the first-order rate constant, unless it reaches
equilibrium. As the favourable starch concentration was fixed with the consecutive
test with different temperature, pH and cell mass, there was no correlation observed
in rate constant.
The maximum specific removal rate (μ), calculated by Lineweaver–Burk plot
using the concept of Monod model for different starch concentration, temperature,
pH and cell inoculum was 7.6923, 0.0009, 0 and 0.0617 respectively. From this
result, it is obvious that increasing the starch concentration increases the bacterial
growth and leads to higher removal of nitrate and pH makes the effective impact
even in bit variation in neutral condition. These results were further, verified with
considering the variables as independent by Friedman test. Table 3 describes the
results of difference between mean ranks towards factors on role description. At,
5% significant level, cell concentration is the most important factor followed by
temperature in par with pH and starch concentration.
The specific growth rate (degradation rate of nitrate) parameter is Haldane’s
kinetic model was illustrated in Fig. 4. In case of starch, temperature and pH, the
specific growth rate increases along with the initial concentration up to a certain
maximum value, then the rate decrease.
3.4 Removal of Nitrate from Drinking Water in Lab Scale
Study
Water sample containing 100 mg/Lof NO 3
− amended with 1% starch was treated with
bacterial consortium(KW1 + YW4) in lab scale was reduced 99.4% of NO 3
− and also
increased in numbers (85 × 10
4 CFU/mL) after 48 h. During the process of NO 3
−
reduction, 3.2 mg/L and 8.4 mg/L of NO 2
− and NH 4
+ respectively were formed in