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Biomedical subjects

S C Santra

Publications and source records attributed to S C Santra.

4 recordsLinked to original sources
PubMed2004

Biological process of arsenic removal using selected microalgae.

In the present investigation, growth of the organisms was reduced due to presence of arsenic (III) and (V) in the culture medium. In comparison to arsenic (V), arsenic (III) had more toxic effect on microalgae. Among the different algal strains, blue green algal species Oscillatoria-Lyngbya mixed culture showed maximum efficiency in removing arsenic (64%) after 21 days of incubation and the same algal species could remove arsenic (III), but 60% after 21 days when incubated in 0.1 mg/l arsenic (III) containing medium. Maximum removal was observed at their exponential growth phase and also so sometime extended to the stationary phase.

Arsenic↗
PubMed2002

Air quality of Kalyani township (Nadia, West Bengal) and its impact on surrounding vegetation.

Plant can act as an indicator of environmental pollution by changing its anatomical, biochemical and physiological features. This has been well recognized in the past. In Kalyani township a case of study was undertaken to determine the extent of air pollution and its impact on some dominant local flora by studying their anatomico-biochemical features of leaves in a comparative manner. The total chlorophyll content, epidermal thickness, stomatal length and breadth of the leaves were found to decrease while the leaf thickness, stomatal frequency were found to increase in case of pollution stress plants with respect to control plant population of non polluted habitat. This indicate that the pollutants have imparted direct adverse effect on biochemical and anatomical make-up of the population stressed plant.

Air Pollutants↗
PubMed2002

Road traffic noise in Calcutta metropolis, India.

A comprehensive study on traffic noise level at twenty four pre-selected road transaction of Calcutta Metropolis was carried out during 1993-94. Noise levels were measured at each of twenty four sites, based on predetermined sampling interval and altogether 2880 observations were generated by recording data continuously for 24 hours. The Lcq 24, exceedence levels, LD, LN, LDN, LNP and TNI were determined. Traffic flow density as measured along with noise data recording were then compared for establishing relationship with noise level. Finally the clustering of the sites were made based on variable viz. Lcq 24 and traffic follow density.

Environmental Monitoring↗