Simulation of hemoglobin detection using surface plasmon resonance based on kretschmann configuration

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Roni Sumantri, Lilik Hasanah, Mohammad Arifin, Yuyu Rachmat Tayubi, Chandra Wulandari, Dadi Rusdiana, Cahya Julian, Roer Eka Pawinanto, P. Susthita Menon, Siti Kudnie Sahari, Budi Mulyanti

2020 Journal of Engineering Science and Technology Vol. 15 Issue 4 Article Cited by 9 SDG 3SDG 17 Quartile

Abstract

Researches on detecting haemoglobin have been intensively carried out as the number of anemia cases increases in both developed and developing countries. The haemoglobin concentration is influenced by some factors including gender, age, and environmental conditions of residence. As to this, the development of sensors to detect haemoglobin concentrations with high sensitivity, free labels, and high resolution is needed. In this study, sensor simulations were conducted and analyzed by varying the haemoglobin concentration using Lumerical Finite Difference Time Domain. The results of the simulations showed a different decrease in reflectance in each different haemoglobin concentration. The analysis of the simulations employed the graph method to determine the sensitivity value. The results showed that the sensitivity of the haemoglobin sensor was 0.2765 g/dL with a large Signal to noise ratio of 0.6875, the size of the sensor resolution obtained was 0.28. 10-3 and the value of Full Width at Half Maximum was 5.11o. The configuration and sensor materials are believed to be able to improve sensor performance in measuring haemoglobin concentration. Therefore, this sensor model can be used to detect haemoglobin in the concentration range of patients with anemia. © 2020 Taylor's University. All rights reserved.

Affiliations

Departemen Pendidikan Fisika, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung, 40154, Indonesia; Departemen Pendidikan Teknik Elektro, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung, 40154, Indonesia; Institute of Microengineering and Nanoelectronics, Universiti Kebangsaan Malaysia, Bangi, 43600, Malaysia; Faculty of Engineering, Universiti Malaysia Sarawak, Jalan Datuk Mohammad Musa, Kota Samarahan, Sarawak, 94300, Malaysia

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