SRM University

About: SRM University is a education organization based out in Chennai, India. It is known for research contribution in the topics: Computer science & Population. The organization has 10787 authors who have published 11704 publications receiving 103767 citations. The organization is also known as: Sri Ramaswamy Memorial University.

Synergetic integration of laccase and versatile peroxidase with magnetic silica microspheres towards remediation of biorefinery wastewater.

Abstract: In this study, a tailor-made biocatalyst consisting of a co-immobilized lignolytic enzyme cascade on multi-functionalized magnetic silica microspheres (MSMS) was developed. Physical adsorption was the most promising strategy for the synthesis of individual immobilized laccase (IL), immobilized versatile peroxidase (IP), as well as co-immobilized laccase (Lac) and versatile peroxidase (VP) with an enzyme activity recovery of about 79, 93, 27, and 27.5%, respectively. Similarly, the biocatalytic load of 116, 183, 23.6, and 31 U/g was obtained for IL, IP, and co-immobilized Lac and VP, respectively. The co-immobilized enzyme system exhibited better pH stability than the free and individual immobilized system by retaining more than 100% residual activity at pH 7.0 after a 150-h incubation; whereas, the thermal stability and kinetics of the co-immobilized biocatalyst were not much improved. IL and IP could be recycled for 10 cycles after which they retained 31 and 44% of their initial activities. Co-immobilized Lac and VP were reused for ten consecutive cycles at the end of which Lac activity was depleted, and 37% of VP activity was left. Free enzymes, IL, IP, co-immobilized Lac, and VP were applied to biorefinery wastewater (BRW) in a batch study to investigate the transformation of phenolic contaminants over a period of 5 days. The major classes of phenolic constituents in terms of their order of removal in a Lac-VP system was phenol >2-chlorophenol > trichlorophenol > dichlorophenol > cresols > dimethylphenol >2 methyl- 4, 6-dinitrophenol > 4-nitrophenol > tetrachlorophenols > pentachlorophenol. The free enzymes and individually immobilized enzymes resulted in 80% dephenolization in 5 days. By contrast, the co-immobilized biocatalyst provided rapid dephenolization yielding the same 80% removal within 24 h and 96% removal of phenols in 60 h after which the system stabilized, which is the major advantage of the co-immobilized biocatalyst.

A Novel Cluster Arrangement Energy Efficient Routing Protocol for Wireless Sensor Networks

Abstract: Background: Wireless sensor networks are application-based networks designed by large number of sensor nodes. Utilizing the energy in efficient way is the one of the main design issue in Wireless Sensor Network (WSN). Limited battery capacity of sensor nodes makes energy efficiency a major and challenging problem in wireless sensor networks. Methods : In order to improve Network lifetime, Energy efficiency and Load balance in Wireless Sensor Network, a Cluster Arrangement Energy Efficient Routing Protocol CAERP is proposed. It mainly includes efficient way of node clustering and distributed multi-hop routing. In the clustering part of CAERP we introduce an un-even clustering mechanism. Cluster head which are closer to the Base Station (BS) have smaller cluster size than those farther from BS, so in here they can preserve some energy in the time of inter-cluster data communication. Our protocol consists of cluster head selection algorithm, a cluster formation scheme and a routing algorithm for the data transmission between cluster heads and the base station. Findings: Each sensor node should effectively handle its energy in order to keep the WSN at its operation state. In each time duration Q-leach is consume more energy than the CAERP. CAERP eliminate the initial dead node problem. During the initial stage the message overhead between the Q-Leach and CAERP have somewhat similar, but after the uneven clustering formation the CAERP message overhead is reduced comparing with the Q-LEACH. In CAERP protocol it mainly focuses for utilizing the energy in efficient way. This improvement is accomplished because the nodes remain alive due to the efficient way of cluster arrangement. CAERP has mainly five cluster Head so each cycle the Cluster Head varying based on the CAERP CH selection algorithm. Due to efficient CH selection algorithm the CAERP have high network life time compared to Q-LEACH. The simulation result shows that CAERP significantly increasing the network lifetime and minimizes energy consumption of nodes compared with Q-leach protocol. Conclusion: The performance of the proposed protocol is compared with that of Q-LEACH using different parameters with the help network simulators. Our protocol CAERP has significantly improved in average energy consumption, survival rate and the extended the network life cycle which means the energy efficiency of the CAERP network is improved.