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Yadav PK, Kumar A, Upadhyay S, Kumar A, Srivastava A, Srivastava M, Srivastava SK. 2D material-based surface plasmon resonance biosensors for applications in different domains: an insight. Mikrochim Acta 2024; 191:373. [PMID: 38842697 DOI: 10.1007/s00604-024-06442-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/16/2024] [Indexed: 06/07/2024]
Abstract
The design of surface plasmon resonance (SPR) sensors has been greatly enhanced in recent years by the advancements in the production and integration of nanostructures, leading to more compact and efficient devices. There have been reports of novel SPR sensors having distinct nanostructures, either as signal amplification tags like gold nanoparticles (AuNPs) or as sensing substrate-like two-dimensional (2D) materials including graphene, transition metal dichalcogenides (TMDCs), MXene, black phosphorus (BP), metal-organic frameworks (MOFs), and antimonene. Such 2D-based SPR biosensors offer advantages over conventional sensors due to significant increases in their sensitivity with a good figure of merit and limit of detection (LOD). Due to their atomically thin structure, improved sensitivity, and sophisticated functionalization capabilities, 2D materials can open up new possibilities in the field of healthcare, particularly in point-of-care diagnostics, environmental and food monitoring, homeland security protection, clinical diagnosis and treatment, and flexible or transient bioelectronics. The present study articulates an in-depth analysis of the most recent developments in 2D material-based SPR sensor technology. Moreover, in-depth research of 2D materials, their integration with optoelectronic technology for a new sensing platform, and the predicted and experimental outcomes of various excitation approaches are highlighted, along with the principles of SPR biosensors. Furthermore, the review projects the potential prospects and future trends of these emerging materials-based SPR biosensors to advance in clinical diagnosis, healthcare biochemical, and biological applications.
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Affiliation(s)
- Prateek Kumar Yadav
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Awadhesh Kumar
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Satyam Upadhyay
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Anil Kumar
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Amit Srivastava
- Department of Physics TDPG College, VBS Purvanchal University, Jaunpur, 222001, India
| | - Monika Srivastava
- School of Materials Science and Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India
| | - S K Srivastava
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
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Yuan X, Wu L, Qin Y. Advancing Sensitivity in Guided-Wave Surface Plasmon Resonance Sensor through Integration of 2D BlueP/MoS 2 Hybrid Layers. BIOSENSORS 2023; 14:25. [PMID: 38248402 PMCID: PMC10813102 DOI: 10.3390/bios14010025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/23/2023] [Accepted: 12/26/2023] [Indexed: 01/23/2024]
Abstract
The surface plasmon resonance (SPR) signal, generated from the Kretschmann configuration, has been developed as an effective detection technology in chemical and biological sensors. The sensitivity of SPR signals to changes in the surrounding media makes it a valuable tool, as even a slight variation in refractive index can cause a significant change in SPR signals, such as phase, intensity, and resonance angle. However, the detection of ultralow changes in refractive index, which occur in chemical reactions or biological actions, remains a challenge for conventional SPR sensors due to their limited sensitivity. To overcome this limitation, we theoretically propose a novel guided-wave SPR (GWSPR) configuration coated with a few-layer blue phosphorene (blueP)/MoS2 hybrid structure. This configuration aims to enhance the electric field and subsequently achieve a significant improvement in sensitivity. The results of our study demonstrate that the proposed blueP/MoS2-based GWSPR sensor exhibits a high sensitivity of 290°/RIU, which represents an impressive enhancement of approximately 82.4% compared to the conventional Au-based SPR sensor. This advancement addresses the challenge of detecting ultralow changes in refractive index and offers significant potential for enhancing the performance of chemical and biological sensors.
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Affiliation(s)
- Xixi Yuan
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, China;
| | - Leiming Wu
- Key Laboratory of Photonic Technology for Integrated Sensing and Communication, Ministry of Education of China, Guangdong University of Technology, Guangzhou 510006, China;
| | - Yuwen Qin
- Key Laboratory of Photonic Technology for Integrated Sensing and Communication, Ministry of Education of China, Guangdong University of Technology, Guangzhou 510006, China;
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Jannesari R, Pühringer G, Stocker G, Grille T, Jakoby B. Design of a High Q-Factor Label-Free Optical Biosensor Based on a Photonic Crystal Coupled Cavity Waveguide. SENSORS (BASEL, SWITZERLAND) 2023; 24:193. [PMID: 38203055 PMCID: PMC10781198 DOI: 10.3390/s24010193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/17/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024]
Abstract
In recent years, there has been a significant increase in research into silicon-based on-chip sensing. In this paper, a coupled cavity waveguide (CCW) based on a slab photonic crystal structure was designed for use as a label-free biosensor. The photonic crystal consisted of holes arranged in a triangular lattice. The incorporation of defects can be used to design sensor devices, which are highly sensitive to even slight alterations in the refractive index with a small quantity of analyte. The plane wave expansion method (PWE) was used to study the dispersion and profile of the CCW modes, and the finite difference time domain (FDTD) technique was used to study the transmission spectrum, quality factor, and sensitivity. We present an analysis of adiabatically coupling light into a coupled cavity waveguide. The results of the simulation indicated that a sensitivity of 203 nm/RIU and a quality factor of 13,360 could be achieved when the refractive indices were in the range of 1.33 to 1.55.
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Affiliation(s)
- Reyhaneh Jannesari
- Institute for Microelectronics and Microsensors, Johannes Kepler University, 4040 Linz, Austria; (G.P.); (B.J.)
| | - Gerald Pühringer
- Institute for Microelectronics and Microsensors, Johannes Kepler University, 4040 Linz, Austria; (G.P.); (B.J.)
| | - Gerald Stocker
- Infineon Technologies Austria AG, 9520 Villach, Austria (T.G.)
| | - Thomas Grille
- Infineon Technologies Austria AG, 9520 Villach, Austria (T.G.)
| | - Bernhard Jakoby
- Institute for Microelectronics and Microsensors, Johannes Kepler University, 4040 Linz, Austria; (G.P.); (B.J.)
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Yuan Y, Peng X, Weng X, He J, Liao C, Wang Y, Liu L, Zeng S, Song J, Qu J. Two-dimensional nanomaterials as enhanced surface plasmon resonance sensing platforms: Design perspectives and illustrative applications. Biosens Bioelectron 2023; 241:115672. [PMID: 37716156 DOI: 10.1016/j.bios.2023.115672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 08/16/2023] [Accepted: 09/04/2023] [Indexed: 09/18/2023]
Abstract
Both increasing demand for ultrasensitive detection in the scientific community and significant new breakthroughs in materials science field have inspired and promoted the development of new-generation multifunctional plasmonic sensing platforms by adopting promising plasmonic nanomaterials. Recently, high-quality surface plasmon resonance (SPR) sensors, assisted by two dimensional (2D) nanomaterials including 2D van der Waals (vdWs) materials (such as graphene/graphene oxide, transition metal dichalcogenides (TMDs), phosphorene, antimonene, tellurene, MXenes, and metal oxides), 2D metal-organic frameworks (MOFs), 2D hyperbolic metamaterials (HMMs), and 2D optical metasurfaces, have emerged as a class of novel plasmonic sensing platforms that show unprecedented detection sensitivity and impressive performance. This review of recent progress in 2D nanomaterials-enhanced SPR platforms will highlight their compelling plasmonic enhancement features, working mechanisms, and design methodologies, as well as discuss illustrative practical applications. Hence, it is of great importance to describe the latest research progress in 2D nanomaterials-enhanced SPR sensing cases. In this review, we present some concepts of SPR enhanced by 2D nanomaterials, including the basic principles of SPR, signal modulation approaches, and working enhancement mechanisms for various 2D materials-enhanced SPR systems. In addition, we also demonstrate a detailed categorization of 2D nanomaterials-enhanced SPR sensing platforms and comment on their ability to realize ultrasensitive SPR detection. Finally, we conclude with future perspectives for exploring a new generation of 2D nanomaterials-based sensors.
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Affiliation(s)
- Yufeng Yuan
- School of Electronic Engineering and Intelligentization, Dongguan University of Technology, Dongguan, Guangdong, 523808, China; State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Xiao Peng
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Xiaoyu Weng
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Jun He
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Changrui Liao
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Yiping Wang
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Liwei Liu
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Shuwen Zeng
- Light, Nanomaterials & Nanotechnologies (L2n), CNRS-EMR 7004, Université de Technologie de Troyes, 10000, Troyes, France.
| | - Jun Song
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China.
| | - Junle Qu
- State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China.
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Jafari B, Gholizadeh E, Jafari B, Zhoulideh M, Adibnia E, Ghafariasl M, Noori M, Golmohammadi S. Highly sensitive label-free biosensor: graphene/CaF 2 multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit. Sci Rep 2023; 13:16184. [PMID: 37758823 PMCID: PMC10533514 DOI: 10.1038/s41598-023-43480-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/25/2023] [Indexed: 09/29/2023] Open
Abstract
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 CaF2 has been widely used to improve the applications of graphene-based sensors. Using the fantastic features of the graphene/CaF2 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 (µc), 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 (M1). Likewise, the remarkable S of 38,000 nm/RIU and the FOM of 81 have been obtained for the second mode (M2). 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 λR(M2) of 8000 nm/RIU (λR(M2) = 11.2 µm), 12,000 nm/RIU (λR(M2) = 10.73 µm), 38,000 nm/RIU (λR(M2) = 11.78 µm), and 12,000 nm/RIU (λR(M2) = 10.6 µm), respectively, and the obtained S for first resonance mode (λR(M1)) for mentioned viruses are 4740 nm/RIU (λR(M1) = 8.7 µm), 8010 nm/RIU (λR(M1) = 8.44 µm), 8100 nm/RIU (λR(M1) = 10.15 µm), and 9000 (λR(M1) = 8.36 µm), respectively.
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Affiliation(s)
- Behnam Jafari
- Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, 5166616471, Iran.
| | - Elnaz Gholizadeh
- Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, 5166616471, Iran
| | - Bahram Jafari
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
| | - Moheimen Zhoulideh
- Department of Pharmacology, I.M. Sechenov First Moscow State Medical University (Sechenov university), Moscow, Russia
| | - Ehsan Adibnia
- Faculty of Electrical and Computer Engineering, University of Sistan and Baluchestan (USB), Zahedan, Iran
| | - Mahdi Ghafariasl
- Department of Physics and Astronomy, University of Georgia, Athens, GA, 30602, USA
| | - Mohammad Noori
- Electrical Engineering Department, Technical and Engineering Faculty, University of Bonab, Bonab, East Azerbaijan, Iran
| | - Saeed Golmohammadi
- Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, 5166616471, Iran
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