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Characterization of Honking Noise in Urban Environment of Nagpur(The Journal of Acoustical Society of India)
(Chaitanya Thakre, Vijaya Laxmi, Ritesh Vijay, D. J. Killedar, Rakesh Kumar,45,,1-11,Year : 2018)
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India where festivals and functions are incomplete without blare sound of loudspeakers in every nook and corner introduces noise as a pollutant in the environment. Contributing to such activities, major sources of noise seeks to be the traffic noise which also entails noise produced by constant honking scenario of the vehicles. Due to existing heterogeneous condition of traffic scenario in India, the research was carried out on National highway whichemphasis on characterization of traffic and honking noise. Traffic volume, noise metrics with statistical indicators (Leq, L10, L90, Lmax, Lmin) were observed during morning, afternoon and evening session. Study includes manual quantification of honking incident of different categories of vehicle (light and medium), which exhibit positive relationship with observed Leq level. As per traffic volume data collected, 60-64% light category vehicles contributed 60-70% honks and medium category vehicle volume of 29- 32% contributing 30-40% of honks. Statistical analysis and
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Root transcripts associated with arsenic accumulation in hyperaccumulator Pteris vittata(Journal of Biosciences)
(Rasika M Potdukhe, Priyanka Bedi, Bijaya K Sarangi, Ram A Pandey and Sanjog T Thul
, 431,,105–115 ,Year : 2018)
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Hyperaccumulation of arsenic (As) by brake fern Pteris vittata has been described as an important genetic trait that provides an option for development of a sustainable phytoremediation process for As mitigation. Accumulation of very high concentration of arsenic in above-ground tissues may be the result of arsenic vacuole compartmentalization, but the mechanism(s) of arsenic uptake and transport by underground tissues are largely unknown. In this study, we made an attempt towards understanding the molecular mechanism of As hyperaccumulation in this plant. A time-dependent As accumulation study indicates an exponential accumulation of As from 7 to 30 days of arsenic exposure in fronds, and day 3–7 in roots. Root transcriptome analysis identified 554,973 transcripts. Further, subsets of 824 transcripts were differ- entially expressed between treated and control samples. Many of the genes of critical As-stress response, transcription factors and metal transporters, biosynthesis of chelating compounds involved in uptake and accumulation mechanisms were identified. The genes that were highly expressed such as cysteine-rich RLK, and ABC transporter G family member 26 needs further studies along with arsenite transmembrane transporter. The analysis of generated transcriptome dataset has provided valuable information and platform for further functional studies.
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Enhancement of indigo dye yield using fungal elicitors during fermentation of Indigofera plant biomass(Indian Journal of Experiment Biology)
(Saikat Dutta, El Mutaz Nassir Farag, Bijaya Ketan Sarangi
,,,,Year : 2018)
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Natural indigo dye from biogenic materials is an alternative to synthetic indigo to alleviate the pollution scenario. Indigo production from the Indigofera tinctoria plant has been developed from ancient time begins through biomass fermentation in water. Maximum indigo yield depends on complete release of indigo precursor indican from plant biomass through fermentation. This study was carried out to assess the role of fungal elicitors on indigo dye yield during biomass fermentation using three strains namely; Aspergillus niger, Trichoderma reesei and Sclerotium rolfsii. Fungal extracts were prepared from mycelia raised separately on Potato Dextrose agar medium and extracted in a buffer solution containing 1N HNO3 and 1N NaOH. The extracts were added to fermentation water in 1%, 5% and 10% doses (v/v) separately during biomass fermentation keeping other parameters for fermentation and further processing for dye production fixed. Indigo yield with 10% A. niger extract was 1.56 % (w/w), which was higher in comparison to control 0.45% (w/w). A. niger extract at 10% enhanced indigo yield up to 3.5 times in comparison to other two cultures used at same concentration.
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In silico characterization of broad range proteases produced by Serratia marcescens EGD‐HP20(Journal of basic microbiology)
(Priya Fuke, Rajesh R Pal, Anshuman A Khardenavis, Hemant J Purohit
,58 6,,, 492-500,Year : 2018)
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In the present study, Serratia marcescens EGD?HP20 strain was demonstrated to utilize poultry waste comprising of both white non?melanized and dark/brown melanized poultry feathers. The potential of the isolate to hydrolyze diverse keratinous wastes was further corroborated by comparative genomics which indicated the presence of genes for broad substrate specific proteases including metallo?proteases, serine endoprotease, dipeptidase, oligopeptidase, etc. Multiple gene sequence alignments of above genes showed 99–100% sequence identities with that of closely related strains of S. marcescens. The secondary structure, 3D structures and energy models suggested the stable nature of all the observed enzymes. Comparative genomics and hydrolysis of mixed feather waste indicated that the above potential of the isolate was associated with synergistic action of various types of proteases.
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Fold change based approach for identification of significant network markers in breast, lung and prostate cancer
(RK Makhijani, SA Raut, HJ Purohit
,,,,Year : 2018)
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Cancer belongs to a class of highly aggressive diseases and a leading cause of death in the world. With more than 100 types of cancers, breast, lung and prostate cancer remain to be the most common types. To identify essential network markers (NMs) and therapeutic targets in these cancers, the authors present a novel approach which uses gene expression data from microarray and RNA-seq platforms and utilises the results from this data to evaluate protein–protein interaction (PPI) network. Differentially expressed genes (DEGs) are extracted from microarray data using three different statistical methods in R, to produce a consistent set of genes. Also, DEGs are extracted from RNA-seq data for the same three cancer types. DEG sets found to be common in both platforms are obtained at three fold change (FC) cut-off levels to accurately identify the level of change in expression of these genes in all three cancers.
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Identification of common key genes in breast, lung and prostate cancer and exploration of their heterogeneous expression(Oncology letters)
(RK Makhijani, SA Raut, HJ Purohit
,15 (2),,1680-1690,Year : 2018)
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Cancer is one of the leading causes of mortality worldwide, and in particular, breast cancer in women, prostate cancer in men, and lung cancer in both women and men. The present study aimed to identify a common set of genes which may serve as indicators of important molecular and cellular processes in breast, prostate and lung cancer. Six microarray gene expression profile datasets [GSE45827, GSE48984, GSE19804, GSE10072, GSE55945 and GSE26910 (two datasets for each cancer)] and one RNA?Seq expression dataset (GSE62944 including all three cancer types), were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified in each individual cancer type using the LIMMA statistical package in R, and then a comparison of the resulting gene lists was performed to identify common DEGs across cancer types. This analysis was performed for microarray and RNA?Seq datasets individually, revealing a set of 62 and 1,290 differentially expressed genes respectively, which may be associated with the three cancers. Out of these genes, 44 were common to both analyses, and hence termed key genes. Gene Ontology functional annotation, Kyoto Encyclopedia of Genes and Genomes pathway mapping and literature citations were used to confirm the role of the key genes in cancer. Finally, the heterogeneity of expression of the key genes was explored using the I2 statistic (meta package in R). The results demonstrated non?heterogeneous expression of 6 out of the 44 key genes, whereas the remaining genes exhibited significant heterogeneity in expression across microarray samples. In conclusion, the identified DEGs may play important roles in the pathogenesis of breast, prostate and lung cancer and may be used as biomarkers for the development of novel diagnostic and therapeutic strategies.
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Draft genome sequence of Penicillium chrysogenum strain HKF2, a fungus with potential for production of prebiotic synthesizing enzymes(3Biotech)
(VV Gujar, P Fuke, AA Khardenavis, HJ Purohit
,8 2, ,,106,Year : 2018)
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In this study, we have characterized a novel set of extracellular enzymes produced by Penicillium chrysogenum strain HKF2. A draft genome data of 31.5 Mbp was generated and annotation suggested a total of 11,243 protein-coding genes out of which 609 were CAZymes, majority of which were found to have homology with Penicillium rubens, Penicillium chrysogenum followed by Penicillium expansum and Penicillium roqueforti. The prominent CAZyme genes identified in the draft genome encoded for enzymes involved in the production of prebiotics such as inulo-oligosaccharides and fructo-oligosaccharides. Corresponding enzyme assay indicated that the isolate possessed the potential to produce 11.8 and 3.8 U/mL of β-fructofuranosidase and inulinase, respectively. This study highlights the significance of Effluent Treatment Plants as novel and under-explored niche for isolation of fungi having the potential for production of prebiotics synthesizing enzymes.
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Recent advancements in the mitigation of obnoxious nitrogenous gases(Journal of Environmental Management)
(Ishan Raj, AN Vaidya, RA Pandey, Amit Bansiwal, Sharvari Deshmukh, Hemant J Purohit
,205, ,,319-336,Year : 2018)
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Nitrogenous gaseous emissions commonly have an obnoxious odor associated with it, which when discharged into the environment results in serious environmental problems and health hazards. Several strategies for mitigation of nitrogenous odorants have been reported which include physical, chemical and biological methods. Biological treatments are widely employed because of their efficiency even at low concentration, where physical and chemical methods are not effective. Most commonly used biological treatment methods are biofiltration, biotrickling filters and membrane bioreactors with innovative reactor design, mixing pattern, and air sparging, for example FEBR, ALR, etc. These treatment methods require a critical assessment for the mitigation of obnoxious nitrogen emissions, especially in the context of environmental protection. This review offers a critical evaluation of treatment methods for the mitigation of nitrogenous odorous compound with a key emphasis on biological treatment systems. Also, various mathematical modelling techniques required for optimized operation of biotreatment systems has been discussed.
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Quantitative evaluation of source interventions for urban air quality improvement-A case study of Delhi city.(Atmospheric Pollution Research)
(Sunil Gulia, Abhishek Mittal, Mukesh Khare,,,,Year : 2018)
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No information is available
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Application of microwave synthesized Ag-Rh nanoparticles in cyclohexane dehydrogenation for enhanced H2 delivery(International journal of hydrogen energy)
(Jayshri V Pande, Ankush B Bindwal, Yogesh B Pakade, Rajesh B Biniwale,43:,,7411-7423,Year : 2018)
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The catalytic dehydrogenation of liquid organic hydrides (LOH) is a promising route to deliver H2 for various mobile and stationary applications. However, an efficient and low-cost dehydrogenation catalyst, as an alternative to Pt, is a key for the success of LOH-based H2 supply. In a quest for such catalysts, we synthesized stable Ag-Rh bimetallic nanoparticles (BNP) supported on activated carbon cloth (ACC) and Y2O3 using the microwave-assisted polyol technique. The performance of these catalysts during dehydrogenation of LOH viz., cyclohexane, was evaluated at 300 ?C using an advanced spray-pulse reactor system. The Ag:Rh ratio was optimized to maximize the cyclohexane conversion and H2 evolution. The effect of Ag:Rh ratio, catalyst support, and synthesis method was investigated, too. The most stable H2 evolution performance was exhibited by microwave-synthesized 1:4 Ag-Rh/Y2O3 catalyst with the cyclohexane conversion, dehydrogenation rate and H2 evolution rate of 35.8%, 17.2 mmol/gMet/min and 400 mmol/gMet/min, respectively. Finally, the performance of catalysts used in this study was compared with the Pt-based catalysts.
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A system based approach to develop hybrid model predicting extreme urban NO2 and PM2.5 concentrations(Transportation Reaearch Part D: Transport and Environment)
(Sunil Gulia, Shiva Nagendra, Mukesh Khare,,,,Year : 2018)
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No information is available
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The composition of the essential oil and aqueous distillate of Origanum vulgare L. Growing in Saudi Arabia and evaluation of their antibacterical activity(Arabian Journal of Chemistry)
(M. Khan, S. T. Khan, N. A. Khan, A. Mahmood, A. A. aAl-Kedhairy, H. Z. Alkhathlan,,,,Year : 2018)
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No information is available
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Hydrogen transportation using liquid organic hydrides: A comprehensive life cycle assessment(Journal of Cleaner Production
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(Rajesh B. Biniwale,183:,,988-997,Year : 2018)
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The liquid organic hydride (LOH-H2) technology has gained significant attention for hydrogen transportation. There are, however, open questions on LOH-H2 environmental performance due to the presence of energy-intensive dehydrogenation and separation steps. Therefore, in this study, we have conducted the life cycle assessment of LOH-H2 to quantify its total environmental footprint and benchmark the results with conventional compressed hydrogen technology (G-H2). In the LCA model, we have used the ReCiPe end point method and the IPCC 2013 global warming potential methods. Our results suggest that the dehydrogenation-cum-separation stage in LOH-H2 contributes to the largest environmental footprint and the dehydrogenation conversion should be maintained above 99% to gain environmental advantage over G-H2. Through breakeven point analysis, we found that LOH-H2 could be an environmentally favorable option when H2 is transported beyond 395?km, 365?km, 295, and 265 for USA, Europe, China and India respectively.
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Uraban local air quality management framework for non-attainment areas in Indian cities(Science of the Total Environment)
(Sunil Gulia, SMS, Jo Barnes, Nagendra, Mukesh Khare,,,,Year : 2018)
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No information is available
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Natural Gas Pipelines Leakage, Toxicity and its Safety Measures(modern Approaches in Oceanography and Petrochemical Sciences (MAOPS))
(Papiya Mandal, Rashmi Misra and Poonam Kumari,,,,Year : 2018)
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No information is available
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An adaptive neuro-fuzzy interface system model for traffic classification and noise prediction(Soft Computing)
(A Sharma, R Vijay, GL Bodhe, LG Malik,,,,Year : 2018)
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In present study, two adaptive neuro-fuzzy models have been developed for traffic classification and noise prediction, respectively. The traffic classification model (ANFIS-TC) classifies extracted sound features of different categories of vehicles based on their acoustic signatures. The model also compute total number of vehicles passes through a particular sampling point. The results have been used for the estimation of the equivalent traffic flow (QE). The noise prediction model (ANFIS-TNP) has three inputs, namely equivalent traffic flow (QE), equivalent vehicle speed (SE) and honking. The equivalent traffic flow (QE) is the output of ANFIS-TC model, while equivalent vehicle speed (SE) and honking are computed from observed averaged speed of different categories of vehicles and number of recorded horns blow per minute. The model assumes that the distance between sound level meter and road centerline is fixed for particular sampling point. The performance of both the models has been validated by field observations. The results show that traffic classification is 100% accurate, while correlation coefficients between observed and predicted traffic noise range from 0.75 to 0.96. Both the models are validated with random samples of data, and it is observed that both the models are generalized and could be employed for traffic classification and traffic noise prediction in small urban heterogeneous traffic environment for noise pollution assessment and control.
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Superiority of Re-circulating Fluidized Bed Reactor Over Existing Reactor Arrangements for Chemical Looping Combustion?A Review(Water Science and Technology Library)
(Tomar S., Lokachari N., Sharma R.
,80,,77-87,Year : 2018)
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No information is available
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Superiority of Re-circulating Fluidized Bed Reactor Over Existing Reactor Arrangements for Chemical Looping Combustion?A ReviewSuperiority of Re-circulating Fluidized Bed Reactor Over Existing Reactor Arrangements for Chemical Looping Combustion?A Review(Water Science and Technology Library)
(Tomar S., Lokachari N., Sharma R.
,80,,77-87,Year : 2018)
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No information is available
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A Proposed Method to Minimize the Global Warming and Environmental Pollution(Journal of Environment Science & Engineering )
(,52(2), ,,,Year : 2018)
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No information is available
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"Evaluation of the costs and benefits of Mumbai sewage disposal project India "(Indian Journal of Geo-marine Sciences)
(Leena Vachasiddha,Vol. 46(8),,1539- 1545,Year : 2017)
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Municipal Corporation of Greater Mumbai intends to undertake Mumbai Sewage Disposal (MSDP) for improvement of environment in and around Mumbai city. Sewage generated from the city currently gets into nearby marine water body. This paper addresses the cost benefit analysis of MSDP works for better compliance of sewage treatment and disposal. Cost benefit analysis indicates that the investment in sewage treatment is economically beneficial and will provide immense social, environmental and economic benefits. Positive benefits such as improved tourism, avoided health costs and enhanced fish catches can be a major outcome of the project. The total capital cost of the project is estimated to be about INR 51510 million and operation and maintenance cost is about INR 2240.6 million. The cost benefit analysis indicates that a benefit of about 25855 million per year due to implementation of this project. The direct cost benefits alone indicate the positive result which is expected due to this project implementation.
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