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Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit
One of the primary goals for the researchers is to create a high-quality sensor with a simple structure because of the urgent requirement to identify biomolecules at low concentrations to diagnose diseases and detect hazardous chemicals for health early on. Recently graphene has attracted much inter...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533514/ https://www.ncbi.nlm.nih.gov/pubmed/37758823 http://dx.doi.org/10.1038/s41598-023-43480-5 |
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author | Jafari, Behnam Gholizadeh, Elnaz Jafari, Bahram Zhoulideh, Moheimen Adibnia, Ehsan Ghafariasl, Mahdi Noori, Mohammad Golmohammadi, Saeed |
author_facet | Jafari, Behnam Gholizadeh, Elnaz Jafari, Bahram Zhoulideh, Moheimen Adibnia, Ehsan Ghafariasl, Mahdi Noori, Mohammad Golmohammadi, Saeed |
author_sort | Jafari, Behnam |
collection | PubMed |
description | One of the primary goals for the researchers is to create a high-quality sensor with a simple structure because of the urgent requirement to identify biomolecules at low concentrations to diagnose diseases and detect hazardous chemicals for health early on. Recently graphene has attracted much interest in the field of improved biosensors. Meanwhile, graphene with new materials such as CaF(2) has been widely used to improve the applications of graphene-based sensors. Using the fantastic features of the graphene/CaF(2) multilayer, this article proposes an improvement sensor in the sensitivity (S), the figure of merit (FOM), and the quality factor (Q). The proposed sensor is based on the five-layers graphene/dielectric grating integrated with a Fabry–Perot cavity. By tuning graphene chemical potential (µ(c)), due to the semi-metal features of graphene, the surface plasmon resonance (SPR) waves excited at the graphene/dielectric boundaries. Due to the vertical polarization of the source to the gratings and the symmetry of the electric field, both corners of the grating act as electric dipoles, and this causes the propagation of plasmonic waves on the graphene surface to propagate towards each other. Finally, it causes Fabry–Perot (FP) interference on the surface of graphene in the proposed structure's active medium (the area where the sample is located). In this article, using the inherent nature of FP interference and its S to the environment's refractive index (RI), by changing a minimal amount in the RI of the sample, the resonance wavelength (interferometer order) shifts sharply. The proposed design can detect and sense some cancers, such as Adrenal Gland Cancer, Blood Cancer, Breast Cancer I, Breast Cancer II, Cervical Cancer, and skin cancer precisely. By optimizing the structure, we can achieve an S as high as 9000 nm/RIU and a FOM of about 52.14 for the first resonance order (M(1)). Likewise, the remarkable S of 38,000 nm/RIU and the FOM of 81 have been obtained for the second mode (M(2)). In addition, the proposed label-free SPR sensor can detect changes in the concentration of various materials, including gases and biomolecules, hemoglobin, breast cancer, diabetes, leukemia, and most alloys, with an accuracy of 0.001. The proposed sensor can sense urine concentration with a maximum S of 8500 nm/RIU and cancers with high S in the 6000 nm/RIU range to 7000 nm/RIU. Also, four viruses, such as M13 bacteriophage, HIV type one, Herpes simplex type 1, and influenza, have been investigated, showing Maximum S (for second resonance mode of λ(R)(M(2)) of 8000 nm/RIU (λ(R)(M(2)) = 11.2 µm), 12,000 nm/RIU (λ(R)(M(2)) = 10.73 µm), 38,000 nm/RIU (λ(R)(M(2)) = 11.78 µm), and 12,000 nm/RIU (λ(R)(M(2)) = 10.6 µm), respectively, and the obtained S for first resonance mode (λ(R)(M(1))) for mentioned viruses are 4740 nm/RIU (λ(R)(M(1)) = 8.7 µm), 8010 nm/RIU (λ(R)(M(1)) = 8.44 µm), 8100 nm/RIU (λ(R)(M(1)) = 10.15 µm), and 9000 (λ(R)(M(1)) = 8.36 µm), respectively. |
format | Online Article Text |
id | pubmed-10533514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105335142023-09-29 Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit Jafari, Behnam Gholizadeh, Elnaz Jafari, Bahram Zhoulideh, Moheimen Adibnia, Ehsan Ghafariasl, Mahdi Noori, Mohammad Golmohammadi, Saeed Sci Rep Article One of the primary goals for the researchers is to create a high-quality sensor with a simple structure because of the urgent requirement to identify biomolecules at low concentrations to diagnose diseases and detect hazardous chemicals for health early on. Recently graphene has attracted much interest in the field of improved biosensors. Meanwhile, graphene with new materials such as CaF(2) has been widely used to improve the applications of graphene-based sensors. Using the fantastic features of the graphene/CaF(2) multilayer, this article proposes an improvement sensor in the sensitivity (S), the figure of merit (FOM), and the quality factor (Q). The proposed sensor is based on the five-layers graphene/dielectric grating integrated with a Fabry–Perot cavity. By tuning graphene chemical potential (µ(c)), due to the semi-metal features of graphene, the surface plasmon resonance (SPR) waves excited at the graphene/dielectric boundaries. Due to the vertical polarization of the source to the gratings and the symmetry of the electric field, both corners of the grating act as electric dipoles, and this causes the propagation of plasmonic waves on the graphene surface to propagate towards each other. Finally, it causes Fabry–Perot (FP) interference on the surface of graphene in the proposed structure's active medium (the area where the sample is located). In this article, using the inherent nature of FP interference and its S to the environment's refractive index (RI), by changing a minimal amount in the RI of the sample, the resonance wavelength (interferometer order) shifts sharply. The proposed design can detect and sense some cancers, such as Adrenal Gland Cancer, Blood Cancer, Breast Cancer I, Breast Cancer II, Cervical Cancer, and skin cancer precisely. By optimizing the structure, we can achieve an S as high as 9000 nm/RIU and a FOM of about 52.14 for the first resonance order (M(1)). Likewise, the remarkable S of 38,000 nm/RIU and the FOM of 81 have been obtained for the second mode (M(2)). In addition, the proposed label-free SPR sensor can detect changes in the concentration of various materials, including gases and biomolecules, hemoglobin, breast cancer, diabetes, leukemia, and most alloys, with an accuracy of 0.001. The proposed sensor can sense urine concentration with a maximum S of 8500 nm/RIU and cancers with high S in the 6000 nm/RIU range to 7000 nm/RIU. Also, four viruses, such as M13 bacteriophage, HIV type one, Herpes simplex type 1, and influenza, have been investigated, showing Maximum S (for second resonance mode of λ(R)(M(2)) of 8000 nm/RIU (λ(R)(M(2)) = 11.2 µm), 12,000 nm/RIU (λ(R)(M(2)) = 10.73 µm), 38,000 nm/RIU (λ(R)(M(2)) = 11.78 µm), and 12,000 nm/RIU (λ(R)(M(2)) = 10.6 µm), respectively, and the obtained S for first resonance mode (λ(R)(M(1))) for mentioned viruses are 4740 nm/RIU (λ(R)(M(1)) = 8.7 µm), 8010 nm/RIU (λ(R)(M(1)) = 8.44 µm), 8100 nm/RIU (λ(R)(M(1)) = 10.15 µm), and 9000 (λ(R)(M(1)) = 8.36 µm), respectively. Nature Publishing Group UK 2023-09-27 /pmc/articles/PMC10533514/ /pubmed/37758823 http://dx.doi.org/10.1038/s41598-023-43480-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jafari, Behnam Gholizadeh, Elnaz Jafari, Bahram Zhoulideh, Moheimen Adibnia, Ehsan Ghafariasl, Mahdi Noori, Mohammad Golmohammadi, Saeed Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
title | Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
title_full | Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
title_fullStr | Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
title_full_unstemmed | Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
title_short | Highly sensitive label-free biosensor: graphene/CaF(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
title_sort | highly sensitive label-free biosensor: graphene/caf(2) multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533514/ https://www.ncbi.nlm.nih.gov/pubmed/37758823 http://dx.doi.org/10.1038/s41598-023-43480-5 |
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