Institution
Vignan University
Education•Guntur, Andhra Pradesh, India•
About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Control theory & CMOS. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.
Topics: Control theory, CMOS, Cement, Machining, Wireless sensor network
Papers
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TL;DR: The distillery effluent causes a crucial ecological impact when disposed untreated into the environment and the removal of the intense brown colour is a much challenging task due to the presence of... as discussed by the authors.
Abstract: The distillery effluent causes a crucial ecological impact when disposed untreated into the environment and the removal of the intense brown colour is a much challenging task due to the presence of...
7 citations
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TL;DR: In this paper, the preparation of nanoparticles from emulsion polymerization is represented along with the size and distribution of the material used to produce the nanoparticles, which are then used in medical and biotechnological fields.
Abstract: Nanoparticles are said to be active particles which are entrapped in the surface of the polymeric core. Since nanoparticles were used in medical and biotechnological fields, there is a great demand in the preparation of nanoparticles. Nanoparticles are prepared from different substances; mainly, polymer material is used in the field of preparing nanomaterials. There are different methods involved in the preparation of nanoparticles from the polymer. Various experiments and research studies were carried out on the basic preparation of nanoparticles. Emulsion polymerization could be used to make polymeric nanoparticles with a high solid concentration without the need of surfactants. To make carboxylate polystyrene beads or amidine polystyrene nanoparticles, polymeric nanocolloids containing surface functional groups were produced. In this research, the preparation of nanoparticles from emulsion polymerization is represented along with the size and distribution material.
7 citations
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7 citations
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TL;DR: A novel approach of cellulase-based co-culture producing bioethanol using low-cost nutrient medium has been employed for the study, and docking strategies provided the information of cellobiose and cellotetraose inhibitors during cellulase production.
Abstract: A novel approach of cellulase-based co-culture producing bioethanol using low-cost nutrient medium has been employed for the study, and docking strategies provided the information of cellobiose and cellotetraose inhibitors during cellulase production. The Acinetobacter species was isolated from termite gut and confirmed in 16s rDNA analysis. SDS-PAGE reveals the molecular weight of purified cellulose was 45 kDa. Cellulose activity was achieved maximum of 1.2 IU/mL at 48th hour of incubation, and about 80% of polysaccharides were converted into simple sugars. The enzyme activity was optimum at different physiological conditions like temperature at 37 °C, pH 7.0 and with 4% concentration of banana peduncle extract powder. Upon reaching maximum cellulolytic activity of 0.594 IU/mL, the percentage of ethanol produced from cellulosic hydrolysate using S. cerevisiae reached maximum ethanol (18.3 g/L) during 48 h of incubation. Cellulase produced by Acinetobacter indicus KTCV2 strain exhibits a short incubation period (48 h) and produces cellulase in broader pH and temperature ranges. Banana peduncle offers a cheapest raw material composed of cellulosic biomass in agricultural practices, which served as a good substrate for the production of ethanol.
7 citations
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TL;DR: It is concluded that mutational pressure coupled with weak selection influenced SCUB in the examined plastomes of Oenothera.
Abstract: Background: Most of the amino acids are encoded by more than one codon, termed as synonymous codons. Synonymous codon usage is not random as it is unique to species. In each amino acid family, some synonymous codons are preferred and this is referred to as synonymous codon usage bias (SCUB). Trends associated with evolution of SCUB and factors influencing its diversification in plastomes of genetically distinct Oenothera plastomes have not been investigated so far. Objectives: In the present study, major forces that shape SCUB in Oenothera plastomes and putative preferred codons in the protein coding genes (PCG) of plastomes were identified. Materials and Methods: To unravel various features of SCUB across selected Oenothera plastomes, commonly used codon usage indices such as relative synonymous codon usage (RSCU), synonymous codon usage order (SCUO), effective number of codons (ENC) and codon adaptation index (CAI) were calculated. Correspondence analysis (COA) on RSCU was performed to identify various characteristics of SCUB across different PCG in Oenothera plastomes. Spearman’s rank correlation analysis was adopted to correlate nucleotide contents, codon usage indices and major axes of COA to find out critical parameters in shaping SCUB. Results: Mutational bias due to compositional constraints played crucial role in shaping SCUB as T3 and GC3 contents were in strong negative correlation with all axes of COA. Nevertheless, significant negative correlations between axis 1 and 3 with ENC and CAI respectively, in all species, and narrow distribution of GC contents in neutrality plot, indicate the role of natural selection. Hydropathy score of proteins was found to be influencing SCUB in O. glazioviana as it showed strong negative correlation with axis 2. Conclusion: We concluded that mutational pressure coupled with weak selection influenced SCUB in the examined plastomes of Oenothera. In addition, all examined species of Oenothera exist as disjunct populations in different parts of North America and these populations might have experienced genetic drift as random mutations in small populations that have been fixed over a period of time.
7 citations
Authors
Showing all 1166 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muthukaruppan Alagar | 40 | 316 | 5914 |
Ebenezer Daniel | 40 | 180 | 5597 |
P. B. Kavi Kishor | 30 | 123 | 3486 |
V. Purnachandra Rao | 26 | 59 | 1723 |
Muddu Sekhar | 24 | 135 | 1929 |
Anandarup Goswami | 23 | 44 | 5427 |
Reddymasu Sreenivasulu | 20 | 58 | 925 |
Murthy Chavali | 20 | 105 | 1699 |
Krishna P. Kota | 20 | 42 | 1172 |
Naveen Mulakayala | 17 | 39 | 937 |
Tondepu Subbaiah | 16 | 65 | 773 |
Bharat Kumar Tripuramallu | 15 | 34 | 574 |
Avireni Srinivasulu | 13 | 97 | 626 |
Abhinav Parashar | 13 | 29 | 375 |
Umesh Chandra | 13 | 39 | 550 |