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      • KCI등재

        Biological synthesis of gold nanoparticles by Bacillus subtilis and evaluation of increased antimicrobial activity against clinical isolates

        A. Thirumurugan,S. Ramachandran,Neethu Anns Tomy,G. J. Jiflin,G. Rajagomathi 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.12

        Biological sources of microorganisms and plants are playing a major role in the reduction of metallic nanoparticles such as silver and gold, as it emerges as an eco-friendly and exciting approach in nanotechnology. We report on the biological synthesis of gold nanoparticles using the culture supernatant of Bacillus subtilis and its effect on increased antibacterial and antifungal activities against clinically isolated organism. When the supernatant of Bacillus subtilis was added to HAuCl4 aqueous solution, HAuCl4 was reduced as Au+ ions, which confirmed the presence of nanoparticles by the color change of pale yellow to purple. The minimum and maximum peaks were observed at 24th and 120th hours by UV-Visible spectroscopy. The combined antibacterial and antifungal activities with various antibiotics were observed against clinical isolates.

      • KCI등재

        Design of an Instrument to Determine the Acoustic Characteristics of Non Wovens Made from Recycled Polyester, Jute and Flax

        V. Thirumurugan,M. RameshKumar 한국섬유공학회 2020 Fibers and polymers Vol.21 No.12

        The influence of acoustic property of fabrics made from recycled polyethylene terephthalate (recycled PET), juteand flax fibres have been studied. Six different blended proportions (100 % Recycled PET, 100 % Jute, 100 % flax, 25 %jute: 25 % flax: 50 % recycled PET, 50 % jute: 25 % flax: 25 % recycled PET, 25 % jute: 50 % flax: 25 % recycled PET) ofdifferent grams per square meter 200, 400, 600 needle punched technique non woven fabrics have been produced andanalyzed for their properties. The sound reduction of needle punched 50 % jute: 25 % flax: 25 % recycled PET non-wovenhas shown better performance among the six samples. The grams per square meter of the samples influence the soundreduction values of non woven fabric. Increase in gsm of the material also increases the sound reduction value. Among all thesamples, the 50 % jute: 25 % flax: 25 % recycled PET non-woven sample produces good acoustic property in developeddigital sound reduction tester and commercial sound impedance tube absorption co efficient value. Anova mathematical toolshows the there is a significant difference between input and output signal in the digital sound reduction tester. From theresults, It is found that the sound reduction property of non woven fabrics increases and decreases with the types of fibre andgrams per square meter of the samples. The jute non woven fabric can be used as good sound reduction material for variousindustrial applications.

      • Amorphous MoSx thin-film-coated carbon fiber paper as a 3D electrode for long cycle life symmetric supercapacitors

        Balasingam, S.,Thirumurugan, A.,Lee, J.,Jun, Y. Royal Society of Chemistry 2016 Nanoscale Vol.8 No.23

        <P>Amorphous MoSx thin-film-coated carbon fiber paper as a binder-free 3D electrode was synthesized by a facile hydrothermal method. The maximum specific capacitance of a single electrode was 83.9 mF cm(-2), while it was 41.9 mF cm(-2) for the symmetric device. Up to 600% capacitance retention was observed for 4750 cycles.</P>

      • Impact of Tobacco on Glutathione S Transferase Gene Loci of Indian Ethnics

        Senthilkumar, K.P.,Thirumurugan, Ramasamy Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10

        Background: Tobacco contains agents which generate various potent DNA adducts that can cause gene mutations. Production of DNA adducts may be neutralized by glutathione S transferase (GST) along with other phase I and phase II enzyme systems. The existence of null type of GST among the population increases the susceptibility to various disorders and diseases. The present study focuses on the impact of high tobacco usage and possible null type mutation in GST loci. Methods: Genotypes of GST were detected by multiplex polymerase chain reaction in unrelated 504 volunteers of high tobacco using natives of Gujarat. Allelic frequencies were calculated using Statistical Package for Social Studies-16 software. Hardy Weinberg Equilibrium (HWE) was calculated using Chi square test. Two sided Fisher's significance test was used to compare allelic frequencies of different populations. Results: The frequency of homozygous null genotype of GSTM1 and GSTT1 were 20% (95% CI 16.7-23.9) and 35.5% (95% CI 31.4-39.9) respectively. The GSTM1 and GSTT1 null allele frequency distribution in the Gujarat population was significantly deviating from HWE. GSTT1 null frequency of Gujaratians was significantly higher and different to all reported low tobacco using Indian ethnics, while GSTM1 was not differing significantly. Conclusion: Tobacco usage significantly influences the rate of mutation and frequency of GSTT1 and M1 null types among the habituates. The rate of mutation in GSTT1 loci was an undeviating response to the dose of tobacco usage among the population. This mutational impact of tobacco on GSTT1 postulates the possible gene - environment interaction and selection of null genotype among the subjects to prone them under susceptible status for various cancers and even worst to cure the population with GSTT1 dependent drugs.

      • GSTM1 and GSTT1 Allele Frequencies among Various Indian and non-Indian Ethnic Groups

        Senthilkumar, K.P.,Thirumurugan, R. Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12

        Background: Glutathione-S-transferase (GST) is an important phase II xenobiotic compound metabolizing enzyme family, involved in tolerance to a particular drug or susceptibility to a diseasec. This study focused the GSTM1 and T1 null allele frequency in the Gujarat population with a comparison across other Inter- and Intra-Indian ethnic groups to predict variation in the possible susceptible status. Methods: DNA was isolated by a salting out method and GSTM1 and T1 homozygous null genotypes were detected by multiplex polymerase chain reaction in 504 unrelated individuals. The genotype distribution of null alleles was compared with Indian and non Indian ethnics reported earlier in the literature using Fisher's test. Results: The frequencies of the homozygous null genotypes of GSTM1 and GSTT1 were 20% (95%CI 16.7-23.9) and 35.5% (95%CI 31.4-39.9) respectively. GSTM1 null frequency did not deviate from most other Indian ethnic groups but differed from the majority of those of non Indian ethnicity studied. The frequency of homozygous null type of GSTT1 was significantly higher and deviated from all Indian groups and a few of non Indian ethnicity. Conclusions: Gujarat ethnicity, possibly the most susceptible for GSTT1 dependent drug disposition and diseases regarding effects of pollution. Further, the results have implications for GSTT1 dependent drugs used for treatment, a serious problem which needs to be solved by physicians and clinical researchers.

      • KCI등재

        Climate Change Projections over India by a Downscaling Approach Using PRECIS

        Prasanta Kumar Bal,Andimuthu Ramachandran,Kandasamy Palanivelu,Perumal Thirumurugan,Rajadurai Geetha,Bhaski Bhaskaran 한국기상학회 2016 Asia-Pacific Journal of Atmospheric Sciences Vol.52 No.4

        This study presents a comprehensive assessment of the possible regional climate change over India by using Providing REgional Climates for Impacts Studies (PRECIS), a regional climate model (RCM) developed by Met Office Hadley Centre in the United Kingdom. The lateral boundary data for the simulations were taken from a sub-set of six members sampled from the Hadley Centre’s 17- member Quantified Uncertainty in Model Projections (QUMP) perturbed physics ensemble. The model was run with 25 km × 25 km resolution from the global climate model (GCM) - HadCM3Q at the emission rate of special report on emission scenarios (SRES) A1B scenarios. Based on the model performance, six member ensembles running over a period of 1970-2100 in each experiment were utilized to predict possible range of variations in the future projections for the periods 2020s (2005-2035), 2050s (2035-2065) and 2080s (2065- 2095) with respect to the baseline period (1975-2005). The analyses concentrated on maximum temperature, minimum temperature and rainfall over the region. For the whole India, the projections of maximum temperature from all the six models showed an increase within the range 2.5oC to 4.4oC by end of the century with respect to the present day climate simulations. The annual rainfall projections from all the six models indicated a general increase in rainfall being within the range 15-24%. Mann-Kendall trend test was run on time series data of temperatures and rainfall for the whole India and the results from some of the ensemble members indicated significant increasing trends. Such high resolution climate change information may be useful for the researchers to study the future impacts of climate change in terms of extreme events like floods and droughts and formulate various adaptation strategies for the society to cope with future climate change.

      • KCI등재

        Climate Change Projections over India by a Downscaling Approach Using PRECIS

        Prasanta Kumar Bal,Andimuthu Ramachandran,Kandasamy Palanivelu,Perumal Thirumurugan,Rajadurai Geetha,Balakrishnan Bhaskaran 한국기상학회 2016 Asia-Pacific Journal of Atmospheric Sciences Vol.52 No.5

        This study presents a comprehensive assessment of the possible regional climate change over India by using Providing REgional Climates for Impacts Studies (PRECIS), a regional climate model (RCM) developed by Met Office Hadley Centre in the United Kingdom. The lateral boundary data for the simulations were taken from a sub-set of six members sampled from the Hadley Centre’s 17- member Quantified Uncertainty in Model Projections (QUMP) perturbed physics ensemble. The model was run with 25 km × 25 km resolution from the global climate model (GCM) - HadCM3Q at the emission rate of special report on emission scenarios (SRES) A1B scenarios. Based on the model performance, six member ensembles running over a period of 1970-2100 in each experiment were utilized to predict possible range of variations in the future projections for the periods 2020s (2005-2035), 2050s (2035-2065) and 2080s (2065- 2095) with respect to the baseline period (1975-2005). The analyses concentrated on maximum temperature, minimum temperature and rainfall over the region. For the whole India, the projections of maximum temperature from all the six models showed an increase within the range 2.5oC to 4.4oC by end of the century with respect to the present day climate simulations. The annual rainfall projections from all the six models indicated a general increase in rainfall being within the range 15-24%. Mann-Kendall trend test was run on time series data of temperatures and rainfall for the whole India and the results from some of the ensemble members indicated significant increasing trends. Such high resolution climate change information may be useful for the researchers to study the future impacts of climate change in terms of extreme events like floods and droughts and formulate various adaptation strategies for the society to cope with future climate change.

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