Remote Detection of Chemical Reactions using Nanoscale Terahertz Communication Powered by Pyroelectric Energy Harvesting

A novel self-powered sensing and communication architecture for remote detection of chemical reactions is proposed. It is assumed that pyroelectric nanogenerators fitted with Graphene-based nano-antennas radiating in the Terahertz band (0.1-10THz) are embedded in the catalyst surface where different types of chemical reactions take place. Each reaction consumes or dissipates some heat, which causes temperature fluctuations on the catalyst surface. A pyroelectric nanogenerator harvests electrical energy from each temperature fluctuation and use the energy to transmit a THz pulse of proportional amplitude. Because different types of reactions dissipate different amounts of energy, we show that a remote receiver can detect the reaction type from the received pulse energy. The accuracy of reaction detection at the receiver, however, is compromised by the noise and attenuation of the THz channel, which makes it difficult to detect reactions from a longer distance. Using simulations, it is shown that dynamic frequency selection within the THz band based on the expected chemical composition of the reactor at any given time can help extending the distance of remote reaction detection.

[1]  Yan Zhang,et al.  Pyroelectric nanogenerators for driving wireless sensors. , 2012, Nano letters.

[2]  Chun Tung Chou,et al.  Innovative Approach to Improving Gas-to-Liquid Fuel Catalysis via Nanosensor Network Modulation , 2014 .

[3]  Chun Tung Chou,et al.  Nano-scale sensor networks for chemical catalysis , 2013, 2013 13th IEEE International Conference on Nanotechnology (IEEE-NANO 2013).

[4]  Ian F. Akyildiz,et al.  Graphene-based plasmonic nano-transceiver for terahertz band communication , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

[5]  Fuqin Xiong,et al.  M-ary energy detection of a Gaussian FSK UWB system , 2014, EURASIP J. Wirel. Commun. Netw..

[6]  Mahbub Hassan,et al.  Frequency hopping strategies for improving terahertz sensor network performance over composition varying channels , 2014, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014.

[7]  Ian F. Akyildiz,et al.  Channel Modeling and Capacity Analysis for Electromagnetic Wireless Nanonetworks in the Terahertz Band , 2011, IEEE Transactions on Wireless Communications.

[8]  Adesoji A. Adesina,et al.  Hydrocarbon synthesis via Fischer-Tropsch reaction: travails and triumphs , 1996 .

[9]  A. M. Saib,et al.  Studying Fischer–Tropsch catalysts using transmission electron microscopy and model systems of nanoparticles on planar supports , 2011 .

[10]  Chun Tung Chou,et al.  Nano sensor networks for tailored operation of highly efficient gas-to-liquid fuels catalysts , 2013 .