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Biosensors
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Plasmonic Based Biosensors
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Plasmonic Based Biosensors

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".

Deadline for manuscript submissions: closed (30 May 2024) | Viewed by 18782

Special Issue Editors

Dr. Shuohui Cao

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Guest Editor
Department of Electronic Science, Xiamen University, Xiamen 361005, China
Interests: biosensors; bioelectronics
Prof. Dr. Yu Tao

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Guest Editor
Laboratory of Biomaterials and Translational Medicine, Sun Yat-sen University, Guangzhou 510630, China
Interests: biosensors; nanomedicine
Prof. Dr. Xiaoqing Liu

E-Mail Website
Guest Editor
School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangdong 510006, China
Interests: cell analysis; plasmonic electrochemistry
Dr. Lei Zhang

E-Mail Website
Guest Editor
School of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, China
Interests: biosensors; nanomaterials; super-resolution imaging

Special Issue Information

Dear Colleagues,

Biosensors are playing increasingly important roles in medical diagnosis and in the fight against threats to human health, especially during the COVID-19 pandemic which is currently having substantial global economic and social impacts. Attributed to their high sensitivity, even at a single-molecule level, plasmonic techniques are promising to accelerate the development of effective biosensors, with the rational combination of nanomaterials, biotechniques, and instrumentation.

This Special Issue focuses on the recent advances in plasmonic-based biosensors and their applications both in vitro and in vivo. We invite submissions of research which contribute to bioanalysis fields including, but not limited to, surface plasmon resonance sensors, localized surface plasmon resonance sensors, optical and electrical sensors, plasmonic spectroscopy for sensing, plasmonic imaging for sensing, new plasmonic materials and structures for sensing, as well as innovative biorecognition mechanisms and designs. Review articles and research articles related to the above contributions are welcome.

Dr. Shuohui Cao
Dr. Yu Tao
Prof. Dr. Xiaoqing Liu
Dr. Lei Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biosensor
  • plasmonic effect
  • plasmonics materials
  • plasmonic device
  • plasmonic spectroscopy
  • plasmonic imaging
  • photoelectric sensor
  • biomarker
  • diagnosis
  • bioanalysis

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Published Papers (7 papers)

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Research

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13 pages, 7529 KiB  
Article
Enhanced Nanoparticle Recognition via Deep Learning-Accelerated Plasmonic Sensing
by Ke-Xin Jin, Jia Shen, Yi-Jing Wang, Yu Yang and Shuo-Hui Cao
Biosensors 2024, 14(8), 363; https://doi.org/10.3390/bios14080363 - 26 Jul 2024
Viewed by 1051
Abstract
Surface plasmon microscopy proves to be a potent tool for capturing interferometric scattering imaging data of individual particles at both micro and nanoscales, offering considerable potential for label-free analysis of bio-particles and bio-molecules such as exosomes, viruses, and bacteria. However, the manual analysis [...] Read more.
Surface plasmon microscopy proves to be a potent tool for capturing interferometric scattering imaging data of individual particles at both micro and nanoscales, offering considerable potential for label-free analysis of bio-particles and bio-molecules such as exosomes, viruses, and bacteria. However, the manual analysis of acquired images remains a challenge, particularly when dealing with dense samples or strong background noise, common in practical measurements. Manual analysis is not only prone to errors but is also time-consuming, especially when handling a large volume of experimental images. Currently, automated methods for sensing and analysis of such data are lacking. In this paper, we develop an accelerated approach for surface plasmon microscopy imaging of individual particles based on combining the interference scattering model of single particle and deep learning processing. We create hybrid datasets by combining the theoretical simulation of particle images with the actual measurements. Subsequently, we construct a neural network utilizing the EfficientNet architecture. Our results demonstrate the effectiveness of this novel deep learning technique in classifying interferometric scattering images and identifying multiple particles under noisy conditions. This advancement paves the way for practical bio-applications through efficient automated particle analysis. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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8 pages, 3004 KiB  
Communication
The Sensitivity of a Hexagonal Au Nanohole Array under Different Incident Angles
by Kang Yang and Meiying Li
Biosensors 2023, 13(6), 654; https://doi.org/10.3390/bios13060654 - 15 Jun 2023
Cited by 2 | Viewed by 1714
Abstract
Surface plasmon resonance sensors have been widely used in various fields for label-free and real-time detection of biochemical species due to their high sensitivity to the refractive index change of the surrounding environment. The common practices to achieve the improvement of sensitivity are [...] Read more.
Surface plasmon resonance sensors have been widely used in various fields for label-free and real-time detection of biochemical species due to their high sensitivity to the refractive index change of the surrounding environment. The common practices to achieve the improvement of sensitivity are to adjust the size and morphology of the sensor structure. This strategy is tedious and, to some extent, limits the applications of surface plasmon resonance sensors. Instead, the effect of the incident angle of excited light on the sensitivity of a hexagonal Au nanohole array sensor with a period of 630 nm and a hole diameter of 320 nm is theoretically investigated in this work. By exploring the peak shift of reflectance spectra of the sensor when facing a refractive index change in (1) the bulk environment and (2) the surface environment adjacent to the sensor, we can obtain the bulk sensitivity and surface sensitivity. The results show that the bulk sensitivity and surface sensitivity of the Au nanohole array sensor can be improved by 80% and 150%, respectively, by simply increasing the incident angle from 0° to 40°. The two sensitivities both remain nearly unchanged when the incident angle further changes from 40° to 50°. This work provides new understanding of the performance improvement and advanced sensing applications of surface plasmon resonance sensors. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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13 pages, 2711 KiB  
Article
Improved Differential Evolution Algorithm for Sensitivity Enhancement of Surface Plasmon Resonance Biosensor Based on Two-Dimensional Material for Detection of Waterborne Bacteria
by Lei Han, Wentao Xu, Tao Liu, Yong Zhang, Yanhua Ma, Min Jin and Chaoyu Xu
Biosensors 2023, 13(6), 600; https://doi.org/10.3390/bios13060600 - 31 May 2023
Cited by 2 | Viewed by 1475
Abstract
Due to the large number of waterborne bacteria presenting in drinking water, their rapid and accurate identification has become a global priority. The surface plasmon resonance (SPR) biosensor with prism (BK7)-silver(Ag)-MXene(Ti3T2Cx)-graphene- affinity-sensing medium is examined in this paper, in [...] Read more.
Due to the large number of waterborne bacteria presenting in drinking water, their rapid and accurate identification has become a global priority. The surface plasmon resonance (SPR) biosensor with prism (BK7)-silver(Ag)-MXene(Ti3T2Cx)-graphene- affinity-sensing medium is examined in this paper, in which the sensing medium includes pure water, vibrio cholera (V. cholera), and escherichia coli (E. coli). For the Ag-affinity-sensing medium, the maximum sensitivity is obtained by E. coli, followed by V. cholera, and the minimum is pure water. Based on the fixed-parameter scanning (FPS) method, the highest sensitivity is 246.2 °/RIU by the MXene and graphene with monolayer, and with E. coli sensing medium. Therefore, the algorithm of improved differential evolution (IDE) is obtained. By the IDE algorithm, after three iterations, the maximum fitness value (sensitivity) of the SPR biosensor achieves 246.6 °/RIU by using the structure of Ag (61 nm)-MXene (monolayer)-graphene (monolayer)-affinity (4 nm)-E. coli. Compared with the FPS and differential evolution (DE) algorithm, the highest sensitivity is more accurate and efficient, and with fewer iterations. The performance optimization of multilayer SPR biosensors provides an efficient platform. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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14 pages, 2891 KiB  
Article
Ultrasensitive Detection of C-Reactive Protein by a Novel Nanoplasmonic Immunoturbidimetry Assay
by Tang Dang, Zhenyu Li, Liyuan Zhao, Wei Zhang, Liping Huang, Fanling Meng, Gang Logan Liu and Wenjun Hu
Biosensors 2022, 12(11), 958; https://doi.org/10.3390/bios12110958 - 2 Nov 2022
Cited by 6 | Viewed by 2678
Abstract
Nanotechnology has attracted much attention, and may become the key to a whole new world in the fields of food, agriculture, building materials, machinery, medicine, and electrical engineering, because of its unique physical and chemical properties, including high surface area and outstanding electrical [...] Read more.
Nanotechnology has attracted much attention, and may become the key to a whole new world in the fields of food, agriculture, building materials, machinery, medicine, and electrical engineering, because of its unique physical and chemical properties, including high surface area and outstanding electrical and optical properties. The bottom-up approach in nanofabrication involves the growth of particles, and we were inspired to propose a novel nanoplasmonic method to detect the formation of nanoparticles in real time. This innovative idea may contribute to the promotion of nanotechnology development. An increase in nanometer particle size leads to optical extinction or density (OD)-value changes in our nanosensor chip at a specific wavelength measured in a generic microplate reader. Moreover, in applying this method, an ultrasensitive nanoplasmonic immunoturbidimetry assay (NanoPITA) was carried out for the high-throughput quantification of hypersensitive C-reactive protein (CRP), a well-known biomarker of cardiovascular, inflammatory, and tumor diseases. The one-step detection of the CRP concentration was completed in 10 min with high fidelity, using the endpoint analysis method. The new NanoPITA method not only produced a linear range from 1 ng/mL to 500 ng/mL CRP with the detection limit reduced to 0.54 ng/mL, which was an improvement of over 1000 times, with respect to regular immunoturbidity measurement, but was also effective in blood detection. This attractive method, combined with surface plasmon resonance and immunoturbidimetry, may become a new technology platform in the application of biological detection. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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Review

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42 pages, 6600 KiB  
Review
Plasmonic Fluorescence Sensors in Diagnosis of Infectious Diseases
by Juiena Hasan and Sangho Bok
Biosensors 2024, 14(3), 130; https://doi.org/10.3390/bios14030130 - 2 Mar 2024
Viewed by 3215
Abstract
The increasing demand for rapid, cost-effective, and reliable diagnostic tools in personalized and point-of-care medicine is driving scientists to enhance existing technology platforms and develop new methods for detecting and measuring clinically significant biomarkers. Humanity is confronted with growing risks from emerging and [...] Read more.
The increasing demand for rapid, cost-effective, and reliable diagnostic tools in personalized and point-of-care medicine is driving scientists to enhance existing technology platforms and develop new methods for detecting and measuring clinically significant biomarkers. Humanity is confronted with growing risks from emerging and recurring infectious diseases, including the influenza virus, dengue virus (DENV), human immunodeficiency virus (HIV), Ebola virus, tuberculosis, cholera, and, most notably, SARS coronavirus-2 (SARS-CoV-2; COVID-19), among others. Timely diagnosis of infections and effective disease control have always been of paramount importance. Plasmonic-based biosensing holds the potential to address the threat posed by infectious diseases by enabling prompt disease monitoring. In recent years, numerous plasmonic platforms have risen to the challenge of offering on-site strategies to complement traditional diagnostic methods like polymerase chain reaction (PCR) and enzyme-linked immunosorbent assays (ELISA). Disease detection can be accomplished through the utilization of diverse plasmonic phenomena, such as propagating surface plasmon resonance (SPR), localized SPR (LSPR), surface-enhanced Raman scattering (SERS), surface-enhanced fluorescence (SEF), surface-enhanced infrared absorption spectroscopy, and plasmonic fluorescence sensors. This review focuses on diagnostic methods employing plasmonic fluorescence sensors, highlighting their pivotal role in swift disease detection with remarkable sensitivity. It underscores the necessity for continued research to expand the scope and capabilities of plasmonic fluorescence sensors in the field of diagnostics. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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14 pages, 2869 KiB  
Review
Wavelength-Dependent Metal-Enhanced Fluorescence Biosensors via Resonance Energy Transfer Modulation
by Seungah Lee and Seong Ho Kang
Biosensors 2023, 13(3), 376; https://doi.org/10.3390/bios13030376 - 13 Mar 2023
Cited by 11 | Viewed by 3733
Abstract
Fluorescence can be enhanced or quenched depending on the distance between the surface of a metal nanoparticle and the fluorophore molecule. Fluorescence enhancement by nearby metal particles is called metal-enhanced fluorescence (MEF). MEF shows promising potential in the field of fluorescence-based biological sensing. [...] Read more.
Fluorescence can be enhanced or quenched depending on the distance between the surface of a metal nanoparticle and the fluorophore molecule. Fluorescence enhancement by nearby metal particles is called metal-enhanced fluorescence (MEF). MEF shows promising potential in the field of fluorescence-based biological sensing. MEF-based biosensor systems generally fall into two platform categories: (1) a two/three-dimensional scaffold, or (2) a colloidal suspension. This review briefly summarizes the application studies using wavelength-dependent carbon dots (UV-VIS), noble metals (VIS), and upconversion nanoparticles (NIR to VIS), representative nanomaterials that contribute to the enhancement of fluorescence through the resonance energy transfer modulation and then presents a perspective on this topic. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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21 pages, 4127 KiB  
Review
Recent Progress in Plasmonic based Electrochemiluminescence Biosensors: A Review
by Cheng Ma, Zhichen Zhang, Tingting Tan and Jun-Jie Zhu
Biosensors 2023, 13(2), 200; https://doi.org/10.3390/bios13020200 - 29 Jan 2023
Cited by 13 | Viewed by 2898
Abstract
Electrochemiluminescence (ECL) analysis has become a powerful tool in recent biomarker detection and clinic diagnosis due to its high sensitivity and broad linear range. To improve the analytical performance of ECL biosensors, various advanced nanomaterials have been introduced to regulate the ECL signal [...] Read more.
Electrochemiluminescence (ECL) analysis has become a powerful tool in recent biomarker detection and clinic diagnosis due to its high sensitivity and broad linear range. To improve the analytical performance of ECL biosensors, various advanced nanomaterials have been introduced to regulate the ECL signal such as graphene, gold nanomaterials, and quantum dots. Among these nanomaterials, some plasmonic nanostructures play important roles in the fabrication of ECL biosensors. The plasmon effect for the ECL signal includes ECL quenching by resonant energy transfer, ECL enhancement by surface plasmon resonance enhancement, and a change in the polarized angle of ECL emission. The influence can be regulated by the distance between ECL emitters and plasmonic materials, and the characteristics of polarization angle-dependent surface plasmon coupling. This paper outlines the recent advances of plasmonic based ECL biosensors involving various plasmonic materials including noble metals and semiconductor nanomaterials. The detection targets in these biosensors range from small molecules, proteins, nucleic acids, and cells thanks to the plasmonic effect. In addition to ECL biosensors, ECL microscopy analysis with plasmonic materials is also highlighted because of the enhanced ECL image quality by the plasmonic effect. Finally, the future opportunities and challenges are discussed if more plasmonic effects are introduced into the ECL realm. Full article
(This article belongs to the Special Issue Plasmonic Based Biosensors)
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