Microwave-assisted Efficient One-pot Synthesis of Nitriles Using Recyclable Magnetite (Fe3O4) Nanoparticles as Catalyst and Water as Solvent: A Greener Approach

Author(s): Prashant Chavan*, Suhas Pednekar, Ramesh Chaughule, Anushree Lokur

Journal Name: Nanoscience & Nanotechnology-Asia

Volume 10 , Issue 4 , 2020

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Graphical Abstract:


Background: There has been an increasing curiosity over the past few years to carry out organic reactions over heterogeneous nanocatalysts. Microwave activation coupled with a nanocatalyst along with water as a reaction medium makes the process further green. Microwave activation as a green process reduces reaction times, enhances product purity and improves chemical yield.

Methods: Nitrile group chemistry has been explored by many researchers across the globe owing to its interesting properties and its importance in synthetic chemistry. Despite several methods being available for the synthesis of nitriles, microwave assisted synthesis of nitriles using Fe3O4 nanoparticles appears more promising. The present study is intended at developing a recyclable magnetite (Fe3O4) nanoparticles catalyzed protocol towards the synthesis of organonitrile derivatives using one pot reaction.

Results: The above protocol incorporates the use of microwave for heating and water as reaction medium. Several substituted nitriles could be synthesized for excellent yields. The magnetite nanoparticles can be reused for new reaction without significant loss in activity.

Conclusion: The experiment makes the protocol simple, environment friendly and economically feasible.

Keywords: Fe3O4 nanoparticles, microwave, one-pot synthesis of nitriles, recyclability, water as solvent.

Hector, J. De Los Santos, R.F. MEMS Circuit Design for Wireless Applications; Artech House, Inc.: Norwood, MA, USA, 2002.
De Los Santos, H. Introduction to Microelectromechanical Microwave Systems, 2nd ed; Artech House: USA, 2004.
Manjula Sutagundar, B.G. Research issues in MEMS resonators research invent. Int. J. Eng. Sci., 2014, 8, 4.
Schneider, P.; Schneider, A.; Schwarz, P. A modular approach for simulation-based optimization of MEMS. Microelectronics J., 2002, 33(1-2), 29-38.
Sutagundar, M.A.; Sheeparamatti, B.G.; Jangamshetti, D.S. ANN modeling of motional resistance for micro disk resonator. Int. J. Appl. Evol. Comput., 2017, 8(4), 14-31.
Wang, J.; Ren, Z.; Nguyen, C.T. 1.156-GHz self-aligned vibrating micromechanical disk resonator. IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 2004, 51(12), 1607-1628.
[http://dx.doi.org/10.1109/TUFFC.2004.1386679] [PMID: 15690722]
Wang, J.; Yang, L.; Pietrangelo, S.; Ren, Z.RF. MEMS resonators: Getting the right frequency and Q 2007. Proceedings of the IEEE Compound Semiconductor Integrated Circuits Symposium, Portland, OR, USAOctober 14-17, 2007
Lee, S.; Demirci, M.U.; Nguyen, C.T.C.A. 10-MHz micromechanical resonator pierce reference oscillator for communications. Transducers ’01. Eurosensors, X.V; Obermeier, E., Ed.; Springer: Berlin, Heidelberg, 2001, pp. 1066-1069.
Lin, Y-W. Lee, S.; Li, S.-S.; Xie, Y.; Ren, Z.; Nguyen, C.T. Series-resonant VHF micromechanical resonator reference oscillators. IEEE J. Solid-State Circuits, 2004, 39(12), 2477-2491.
Jokić, I.; Frantlović, M.; Djurić, Z.; Dukić, M.L.RF. MEMS/NEMS resonators for wireless communication systems and adsorption-desorption phase noise. Fact. Univ. Ser. Electron. Energet, 2015, 28(3), 345-381.
Babazadeh, F.; Keshmiri, S.H. Comprehensive analysis of a high-Q, low motional resistance, very high frequency MEMS resonator. J. Appl. Sci. (Faisalabad), 2009, 9, 1285-1292.
Zhu, H.; Wang, P.; Fan, Z. Evolutionary design optimization of MEMS: A brief review. Proceedings of the IEEE International Conference on Industrial Technology, Vina del Mar, ChileMarch 14-17, 2010
Vachhani, V.L.; Dabhi, V.K.; Prajapati, H.B. Survey of multi objective evolutionary algorithms. Proceedings of the International Conference on Circuits, Power and Computing Technologies [ICCPCT- 2015],Nagercoil, Guangzhou, China, pp. 21-24.2015
Fonseca, C.M.; Fleming, P.J. Multiobjective genetic algorithms IEE colloquium on "Genetic Algorithms for Control Systems Engineering, (Digest No. 1993/130), London, UK, 1993.
Holland, J.H. Adaptation in Natural and Artificial Systems; University of Michigan Press: Ann Arbor, 1975.
Konak, A.; Coit, D.W.; Smith, A.E. Multi-objective optimization using genetic algorithms: A tutorial. Reliabil. Eng. Sys. Safety., 2006, 91(9), 992-1007.

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Article Details

Year: 2020
Published on: 25 August, 2020
Page: [507 - 517]
Pages: 11
DOI: 10.2174/2210681209666190218144322
Price: $25

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