Nutraceuticals and mitochondrial oxidative stress: bridging the gap in the management of bronchial asthma

Environmental Science and Pollution Research - Asthma is a chronic inflammatory disease primarily characterized by inflammation and reversible bronchoconstriction. It is currently one of the...     

Study of indiscriminate distribution of restrained antimicrobial resistome of different environmental niches

Environmental Science and Pollution Research - Prophylactic usage and high persistent nature of several antibiotics have put selective pressure on the native microbial population that led to the...     

Unravelling the molecular mechanism of mutagenic factors impacting human health

Environmental Science and Pollution Research - Environmental mutagens are chemical and physical substances in the environment that has a potential to induce a wide range of mutations and generate...     

Spatio-temporal changes associated with natural and anthropogenic factors in wetlands of Great Rann of Kachchh,India

Studies about wetlands have been identified as a key component of environmental change. The present study assesses the spatio-temporal changes in the wetlands of the Great Rann of Kachchh, in the Kachchh Biosphere Reserve, India, using remote sensing and GIS techniques. Satellite time-series data from Landsat (1977, 1990 and 1999) and IRS P6 (2006, 2008–2012) were used. The Normalised Difference Water Index (NDWI) was derived for each year and the layers were manually edited to obtain a high classification accuracy. The analysis found that the area has undergone considerable change from 1977 to 2011. The natural wetland area of 30.6 km² was converted to salt pans. An area of about 255 km² (41.6 %) of natural grassland was invaded by Prosopis juliflora, which raises further conservation concerns and emphasises the importance of having intervention plans to manage this ecosystem. The highest water spread of 1171 km² was observed in September 2011, followed by 2010, 2009 and 2008 in the same month. The present study is useful in planning the long-term management and conservation of the Great Rann of Kachchh wetland.     

Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya,India

Climate Vulnerability Index (CVI) is being proposed to assess climate change vulnerability of communities with a case study. The index consists of household parameters of all the three dimensions of vulnerability such as Exposure, Sensitivity and Adaptive Capability. Exposure is defined by ‘Natural disaster and Climate variability’, however Sensitivity by ‘Health’, Food’, and ‘Water’ and Adaptive Capability by ‘Socio-demographic profile’, ‘Livelihood strategies’, and ‘Social networks’. Respective parameters were based on the peers and literature. The CVI vulnerable status ranges from high (0) to low (1). Household questionnaire survey was undertaken from two regions namely, near to district (NDH) and away to district (ADH), in Srinagar, Uttrakhand, India. Data for desired parameters for CVI was collected from 50 randomly selected households. Data were aggregated using a composite index and differential vulnerabilities were compared. High vulnerability was observed for livelihood strategies, food and natural disaster for ADH households, and health and water for NDH households. It was found that the adaptive capability and sensitivity of ADH households was higher than NDH, however, exposure realization was similar in both the regions. The CVI was 0.69 and 0.64 for NDH and ADH, respectively, suggests high vulnerability to NDH households. This pragmatic CVI approach may be used to assess and monitor vulnerability under various stress condition, and/or evaluate potential program/ policy effectiveness in various data-scarce regions by comparing various anticipated scenarios with baseline. Further, the result obtained by index may have implications for developing adaptation or coping strategies to the region.     

Design of sampling locations for river water quality monitoring considering seasonal variation of point and diffuse pollution loads

The design of a water quality monitoring network (WQMN) is a complicated decision-making process because each sampling involves high installation, operational, and maintenance costs. Therefore, data with the highest information content should be collected. The effect of seasonal variation in point and diffuse pollution loadings on river water quality may have a significant impact on the optimal selection of sampling locations, but this possible effect has never been addressed in the evaluation and design of monitoring networks. The present study proposes a systematic approach for siting an optimal number and location of river water quality sampling stations based on seasonal or monsoonal variations in both point and diffuse pollution loadings. The proposed approach conceptualizes water quality monitoring as a two-stage process; the first stage of which is to consider all potential water quality sampling sites, selected based on the existing guidelines or frameworks, and the locations of both point and diffuse pollution sources. The monitoring at all sampling sites thus identified should be continued for an adequate period of time to account for the effect of the monsoon season. In the second stage, the monitoring network is then designed separately for monsoon and non-monsoon periods by optimizing the number and locations of sampling sites, using a modified Sanders approach. The impacts of human interventions on the design of the sampling net are quantified geospatially by estimating diffuse pollution loads and verified with land use map. To demonstrate the proposed methodology, the Kali River basin in the western Uttar Pradesh state of India was selected as a study area. The final design suggests consequential pre- and post-monsoonal changes in the location and priority of water quality monitoring stations based on the seasonal variation of point and diffuse pollution loadings.     

Heavy metal concentration and distribution in a dated sediment core of Nainital Lake in the Himalayan region

The concentrations and distribution of the elements, including heavy metals such as As, Ba, Br, Co, Cr, Cs, Fe, Ga, K, Mn, Na, Rb, Sc, Sr, Th and Zn, were investigated in dated sediment cores of Nainital Lake located in the Himalayan region, in Uttar Pradesh state of India, which is considered as a remote background area. The concentrations of the elements were measured by instrumental neutron activation analysis using the k0 method. The International Atomic Energy Agency certified reference material SL-3 was used to evaluate the accuracy of the method. The normalized data for a series of elements were used to understand the source of loading. Elements like Br, Co, Cr, Fe, K, Mn and Zn show a negative correlation with increasing depth whereas elements like As, Ba, Cs, Na and Rb show a positive correlation with increasing depth. By considering the concentration for the bottom segments of the core as close to the baseline concentration, recent flux values for different elements were calculated. An increase in the flux value was observed for Br, Cr, Fe, K, Mn and Zn, which can be attributed to anthropogenic contribution in recent years.     

Antimicrobial therapeutics delivery systems based on biodegradable polylactide/polylactide-co-glycolide particles

Environmental Chemistry Letters - Infectious diseases are globally associated with high mortality in spite of the availability of therapeutic agents against most pathogenic microorganisms. This is...