Optical-microwave sensor for real-time measurement of water contamination in oil derivatives

Abdulsattar, Russul Khalid, Alibakhshikenari, Mohammad, Virdee, Bal Singh, Sharma, Richa, Elwi, Taha A., Kouhalvandi, Lida, Abdul Hassain, Zaid A., Ali, Syed Mansoor, Tokan, Nurhan Türker, Livreri, Patrizia, Falcone, Francisco and Limiti, Ernesto (2023) Optical-microwave sensor for real-time measurement of water contamination in oil derivatives. International Journal of Electronics and Communications, 170 (154798). pp. 1-10. ISSN 1434-8411

1-s2.0-S1434841123002728-main.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (8MB) | Preview
Official URL: https://www.sciencedirect.com/science/article/pii/...

Abstract / Description

This paper presents a novel microwave sensor using optical activation for measuring in real-time the water contamination in crude oil or its derivatives. The sensor is constructed from an end-coupled microstrip resonator that is interconnected to two pairs of identical fractal structures based on Moore curves. Electromagnetic (EM) interaction between the fractal curves is mitigated using a T-shaped microstrip-stub to enhance the performance of the sensor. The gap in one pair of fractal curves is loaded with light dependent resistors (LDR) and the other pair with microwave chip capacitors. The chip capacitors were used to increase the EM coupling between the fractal gaps to realize a high Q-factor resonator that determines the sensitivity of the sensor. Empirical results presented here show that the insertion-loss of the sensor is affected by the change in LDR impedance when illuminated by light. This property is used to determine the amount of water contaminated oil. The sensitivity of the sensor was optimized using commercial 3D EM solver. The measurements were made by placing a 30 mm diameter petri dish holding the sample on top of the sensor. The petri dish was filled up to a height of 10 mm with the sample of water contaminated crude oil, and the measurements were done in the range between 0.76 GHz and 1.2 GHz. The Q-factor of the oil sample with no water contamination was 70 and the Q-factor declined to 20 for 100% contamination. The error in the measurements was less than 0.024%. The sensor has dimensions of 0.127λo × 0.127λo × 0.004 λo and represents a new modality. Compared to existing techniques, the proposed sensor is simple to use, readily portable and is more sensitive.

Item Type: Article
Uncontrolled Keywords: Microstrip sensor, Electromagnetic (EM) spectrum, Fractal curves, light dependent resistors (LDR)
Subjects: 600 Technology
600 Technology > 620 Engineering & allied operations
Department: School of Computing and Digital Media
Depositing User: Bal Virdee
Date Deposited: 23 Jun 2023 09:26
Last Modified: 01 Aug 2023 13:39
URI: https://repository.londonmet.ac.uk/id/eprint/8603


Downloads per month over past year

Downloads each year

Actions (login required)

View Item View Item