Citation

Al Mahfazur Rahman, Abdullah and Islam, Mohammad Tariqul and Kirawanich, Phumin and Bais, Badariah and Alsaif, Haitham and Maash, Abdulwadoud A. and Hoque, Ahasanul and Moniruzzaman, Md. and Islam, Md. Shabiul and Soliman, Mohamed S. (2024) A highly sensitive modified triple split ring metamaterial-based sensor for blood sample detection based on dielectric property alteration. APL Materials, 12 (7). ISSN 2166-532X

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Abstract

This research paper demonstrates a metamaterial (MTM) based sensing technique to detect various blood samples by analyzing their dielectric properties. The performance of this MTM-based sensor is evaluated with the help of mimicked human blood samples that closely resemble the dielectric properties of actual human blood samples. Moreover, the ISM band frequency of 2.4 GHz is chosen as one of the reference resonance frequencies due to its various industrial and medical applications. The resonating patch is developed on the FR-4 substrate with a dimension of 10 × 20 mm2 that provides sharp reference resonances of 2.4 and 4.72 GHz for the spectra of the transmission coefficient with a good quality factor (Q-factor). The MTM sensor can detect the mimicked blood samples with a maximum frequency deviation of up to 650 MHz at 2.4 GHz and up to 850 MHz at 4.72 GHz, with maximum sensitivity of 0.917 and 0.707, respectively. The measured results using the prototype of the sensor support the simulation result with good agreement, indicating high sensing capability. Due to its high sensitivity, figure of merit (FoM), and frequency shifting with dielectric property changes in blood samples, the developed MTM-based sensor can be implemented effectively for quick sensing of infected blood samples and biomedical applications.

Item Type:	Article
Uncontrolled Keywords:	Metamaterial
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 Jul 2024 03:21
Last Modified:	31 Jul 2024 03:21
URII:	http://shdl.mmu.edu.my/id/eprint/12668

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