Microbial production of dicarboxylic acids from edible plants and milk using GC-MS

Kaur, Rajinder; Kaur, Rajanbir; Sharma, Anket; Kumar, Vinod; Bhardwaj, Renu; Thukral, Ashwani Kumar

doi:10.1186/s40543-018-0154-0

Cited by 20 publications

(8 citation statements)

References 21 publications

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“…52 separated from the main group ( Figure 5(a)). Because the stress in NMDS Shepard curve ( Figure 5(b)) is 0.016 less than 0.05, the statistics demonstrated a good fit to NMDS data (Kaur et al, 2018).…”

Section: Resultsmentioning

confidence: 91%

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Keshavarzi

Kumar

2019

Geology, Ecology, and Landscapes

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Illustrating the spatial distribution and potential sources of soil properties, and heavy metals, viz., Fe, Zn, Mn, and Cu, are the vital prerequisites for decreasing their pollution. The 68 composite agricultural soil samples in triplicates were collected by employing grid method to evaluate the concentration of pH, sand, silt, clay, organic carbon, P, K, and heavy metals. Multivariate techniques (Pearson's correlation, heatmap, principal component analysis, and nonmetric multidimensional scaling), geostatistcal techniques, and contamination indices were employed. The contents of Fe, Zn, Mn, and Cu were lower than the limits for Iran EPA guidelines and Earth's crust. The results of contamination factor and potential ecological risk index (RI) showed that agricultural soils have less contamination and low ecological risks. The enrichment factor (EF), geoaccumulation index (Igeo) and modified ecological risk index (MRI) indicated that 99%, 86.7% and 52.4% agricultural soil samples showed very high enrichment and ecological risks of heavy metals. Both anthropogenic activities and natural factors were responsible for heavy metal contents. The results of geostatistcal analysis revealed that Zn is accumulated more in Central regions, whereas Cu and Mn accumulated more in South and Northeastern regions of the studied area for EF, Igeo, and modified potential ecological RI. ARTICLE HISTORY

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Section: Resultsmentioning

confidence: 91%

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Keshavarzi

Kumar

2019

Geology, Ecology, and Landscapes

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“…In the sampling sites 29, 40 and 50 soils are collected adjacent to grassland, while 54 point is soil collected around the industrial zone. The stress level is less than the 0.05 (Kaur et al 2018), indicating good fit of this data to NMDS plot (Figure 4b).…”

Section: Principal Component Analysis and Non-metric Multidimensionalmentioning

confidence: 75%

Appraisal of Pollution and Source Apportionment of Potentially Toxic Elements in Different Soils Collected around the Industrial Area

Verma¹,

Dhaliwal²,

Kumar³

et al. 2021

Preprint

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It is imperative to understand the pollution of potentially toxic elements (PTEs) in different soils in order to determine the sustainable management approaches for soils. Potentially toxic elements (Fe, Mn, As, Pb, Zn, Ni, Cu, Cn, Co and Cd), and pH and organic carbon were determined in agricultural, non-agricultural and industrial soils of Indian, Punjab. The findings of PTEs indicated that industrial soils recorded highest concentration of PTEs followed by non-agricultural and agricultural soils. The percentage change recorded from agricultural to non-agricultural soils for PTEs were 3.19% for Fe, 25.3% for Mn, 63.8% for Cu, 13.5% for Cn, 49.8% for Pb, 79.6% for Ni, 35.8% for Co and 32% for Cd. From non-agricultural to industrial soils the percentage change observed for PTEs were 89% for Zn, 2.03% for Fe, 21.9% for Mn, 68.2% Cu, 9.2% for Cn, 35.8% for Pb, 18.4% for Co, 30.4% for Cd and 43.4% for As. The results of contamination factor, enrichment factor, geoaccumulation index, pollution and modified pollution indices indicated that Cd and As showed severe contamination in all studied soil types. Ecological risk assessment results revealed that Cd exhibited very risk in different soil types. The outcomes of this study will aid in forming approaches to decline the perils allied with PTEs in soils, and produce guidelines to save the environs from long term accrual of PTEs.

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“…The water of this location specific sample was taken from the point where there was a confluence of the highly contaminated local drain with the river. The stress values were less than 0.05 during all the seasons, and it signifies a good fit of data to NMDS plot (Kaur et al 2018).…”

Section: Non-metric Multidimensional Scaling and Cluster Analysismentioning

confidence: 79%

Spatio-temporal variations in water quality, hydrochemistry and its controlling factors in a perennial river in India

et al. 2021

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The spatial and temporal variations in the hydrochemistry of the Sutlej river in the Indian Punjab were studied based on water quality parameters analysed during pre- and post-monsoon seasons of the years 2017 and 2018. The grab water samples were collected from the river using stratified random sampling and analysed for pH, electrical conductivity (EC), carbonate (CO3−2), bicarbonate (HCO3−), chloride (Cl−), nitrate (NO3−), total hardness, calcium (Ca+2), sodium (Na+) and potassium (K+) using standard methods. Spatio-temporal variations in the parameters used to evaluate the water quality for irrigation (electrical conductivity (EC), residual sodium carbonate (RSC) and sodium absorption ratio (SAR)) were also studied. In order to rate the composite influence of all the physicochemical parameters, water quality index (WQI) was computed. Spatial variations in WQI for drinking and irrigation purposes were studied using the inverse distance weighted method in GIS. Results showed that the river water was alkaline in nature, HCO3− and Cl− are the major anions, and Ca2+ and Na+ are the cations in the river water during both seasons. The regression analysis of EC with cations and anions showed that the regression coefficient was mainly significant with Ca2+ and HCO3−, irrespective of the season. The concentration of ions was not significantly affected by season, but it was higher along transboundary of the river. Total alkalinity of water was significantly (p < 0.05) higher during pre-monsoon than post-monsoon season. The EC, SAR and RSC values during different seasons showed that > 85% of the water samples were in good categories for irrigation purposes. According to grades of WQI for drinking purposes, the poor WQI was observed in 3.6%, 3.7% and 5.9% of the samples during pre-2017, pre-2018 and post-monsoon 2018, respectively. The poor water quality index for irrigation purposes was observed in 16.7% and 4.7% of the samples during pre-monsoon 2017 and 2018, respectively. The water quality index values for drinking and irrigation were higher (poor water quality) along transboundary of the river. The ratio of Ca2+/Mg2+, (Na+ + K+)/TZ+ and Ca2+ + Mg2+/(Na+ + K+) indicated both carbonate and silicate lithology contribute to hydrochemistry of the river besides anthropogenic factors. Non-metric multidimensional scaling showed that all the samples are of a similar origin across the river including transboundary, whereas cluster analysis resulted in the two main groups: pH and Cl in the one group, and EC along with the remaining cations and anions in the other group during pre-monsoon, but pH in the one group, and EC along with the remaining cations and anions in the other group during post-monsoon. The high concentration of Cl− is a signature of anthropogenic inputs in addition to the contribution of natural factors. These results suggest that the cultivation of crops on the soils along transboundary may cause the transfer of ions through the food chain to human beings affecting their health. Moreover, drinking of river water by inhabitants living along transboundary may affect their health.

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Microbial production of dicarboxylic acids from edible plants and milk using GC-MS

Cited by 20 publications

References 21 publications

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Spatial distribution and potential ecological risk assessment of heavy metals in agricultural soils of Northeastern Iran

Appraisal of Pollution and Source Apportionment of Potentially Toxic Elements in Different Soils Collected around the Industrial Area

Spatio-temporal variations in water quality, hydrochemistry and its controlling factors in a perennial river in India

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