Kousik Das | IIT Kharagpur (original) (raw)
Uploads
Papers by Kousik Das
A survey was conducted in the remote area of Laxmisagar village of Simlapal Block, Bankura Distri... more A survey was conducted in the remote area of Laxmisagar village of
Simlapal Block, Bankura District, West Bengal, India, of the fluoride (F) concentration
in ground water and dental fluorosis in children, 66 boys and 83 girls, aged 6 – <8 yr,
8 – 10 yr, and >10 yr. The ground water F concentration range was 0.25–9.30 mg F/L
and the mean 2.02 mg F/L. Using Dean’s Index, the severity of dental fluorosis tended
to increase with age, particularly for girls but the result was not significant (boys:
r=0.474, p=0.893; girls: r=0.949, p=0.146). In the >10 yr groups, severe dental fluorosis
was present in 15.79% of boys and 35% of girls.
Arsenic in drinking water has been recognized as a serious community health problem because of it... more Arsenic in drinking water has been recognized as a serious community health problem because of its
toxic nature and therefore, its removal is highly essential. A series of adsorption experiments (batch and
column) were performed utilizing iron impregnated sugarcane carbon (Fe–SCC), a composite adsorbent,
to remove arsenic from aqueous systems. Under optimized batch conditions, the Fe–SCC could remove
up to 94.5% of arsenic from contaminated water. The artificial neural network (ANN) model was
developed from batch experimental data sets which provided reasonable predictive performance
(R2 = 0.964; 0.963) of arsenic adsorption. In batch operation, the adsorbent dose had the most significant
impact on the adsorption process. For column operation, central composite design (CCD) in response
surface methodology (RSM) was applied to investigate the influence on the breakthrough time for
optimization and evaluation of interacting effects of different operating variables. The perturbation plot
depicted that the breakthrough time is more sensitive to initial concentration and adsorbent dose than
flow rate. The optimized result obtained from bar plot revealed that the Fe–SCC was an effective and
economically feasible adsorbent; whereas more than 93% desorption efficiency showed the reusability of
the adsorbent. The high arsenic adsorptive removal ability and regeneration efficiency of this adsorbent
suggest its applicability in industrial/household systems and data generated would help in further
upscaling of the adsorption process.
… Physiology & Biochemistry, Jan 1, 2011
A survey was conducted in the remote area of Laxmisagar village of Simlapal Block, Bankura Distri... more A survey was conducted in the remote area of Laxmisagar village of
Simlapal Block, Bankura District, West Bengal, India, of the fluoride (F) concentration
in ground water and dental fluorosis in children, 66 boys and 83 girls, aged 6 – <8 yr,
8 – 10 yr, and >10 yr. The ground water F concentration range was 0.25–9.30 mg F/L
and the mean 2.02 mg F/L. Using Dean’s Index, the severity of dental fluorosis tended
to increase with age, particularly for girls but the result was not significant (boys:
r=0.474, p=0.893; girls: r=0.949, p=0.146). In the >10 yr groups, severe dental fluorosis
was present in 15.79% of boys and 35% of girls.
Arsenic in drinking water has been recognized as a serious community health problem because of it... more Arsenic in drinking water has been recognized as a serious community health problem because of its
toxic nature and therefore, its removal is highly essential. A series of adsorption experiments (batch and
column) were performed utilizing iron impregnated sugarcane carbon (Fe–SCC), a composite adsorbent,
to remove arsenic from aqueous systems. Under optimized batch conditions, the Fe–SCC could remove
up to 94.5% of arsenic from contaminated water. The artificial neural network (ANN) model was
developed from batch experimental data sets which provided reasonable predictive performance
(R2 = 0.964; 0.963) of arsenic adsorption. In batch operation, the adsorbent dose had the most significant
impact on the adsorption process. For column operation, central composite design (CCD) in response
surface methodology (RSM) was applied to investigate the influence on the breakthrough time for
optimization and evaluation of interacting effects of different operating variables. The perturbation plot
depicted that the breakthrough time is more sensitive to initial concentration and adsorbent dose than
flow rate. The optimized result obtained from bar plot revealed that the Fe–SCC was an effective and
economically feasible adsorbent; whereas more than 93% desorption efficiency showed the reusability of
the adsorbent. The high arsenic adsorptive removal ability and regeneration efficiency of this adsorbent
suggest its applicability in industrial/household systems and data generated would help in further
upscaling of the adsorption process.
… Physiology & Biochemistry, Jan 1, 2011