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Han S, Park J, Moon S, Eom S, Jin CM, Kim S, Ryu YS, Choi Y, Lee JB, Choi I. Label-free and liquid state SERS detection of multi-scaled bioanalytes via light-induced pinpoint colloidal assembly. Biosens Bioelectron 2024; 264:116663. [PMID: 39167886 DOI: 10.1016/j.bios.2024.116663] [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: 02/11/2024] [Revised: 07/17/2024] [Accepted: 08/10/2024] [Indexed: 08/23/2024]
Abstract
Surface-enhanced Raman scattering (SERS) has been extensively applied to detect complex analytes due to its ability to enhance the fingerprint signals of molecules around nanostructured metallic surfaces. Thus, it is essential to design SERS-active nanostructures with abundant electromagnetic hotspots in a probed volume according to the dimensions of the analytes, as the analytes must be located in their hotspots for maximum signal enhancement. Herein, we demonstrate a simple method for detecting robust SERS signals from multi-scaled bioanalytes, regardless of their dimensions in the liquid state, through a photothermally driven co-assembly with colloidal plasmonic nanoparticles as signal enhancers. Under resonant light illumination, plasmonic nanoparticles and analytes in the solution quickly assemble at the focused surface area by convective movements induced by the photothermal heating of the plasmonic nanoparticles without any surface modification. Such collective assemblies of plasmonic nanoparticles and analytes were optimized by varying the optical density and surface charge of the nanoparticles, the viscosity of the solvent, and the light illumination time to maximize the SERS signals. Using these light-induced co-assemblies, the intrinsic SERS signals of small biomolecules can be detected down to nanomolar concentrations based on their fingerprint spectra. Furthermore, large-sized biomarkers, such as viruses and exosomes, were successfully detected without labels, and the complexity of the collected spectra was statistically analyzed using t-distributed stochastic neighbor embedding combined with support vector machine (t-SNE + SVM). The proposed method is expected to provide a robust and convenient method to sensitively detect biologically and environmentally relevant analytes at multiple scales in liquid samples.
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Affiliation(s)
- Seungyeon Han
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Junhee Park
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Sunghyun Moon
- Department of Chemical Engineering, University of Seoul, Seoul, 02504, Republic of Korea
| | - Seonghyeon Eom
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Chang Min Jin
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Seungmin Kim
- School of Biomedical Engineering, Korea University, Seoul, 02481, Republic of Korea; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02481, Republic of Korea
| | - Yong-Sang Ryu
- School of Biomedical Engineering, Korea University, Seoul, 02481, Republic of Korea; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02481, Republic of Korea
| | - Yeonho Choi
- School of Biomedical Engineering, Korea University, Seoul, 02481, Republic of Korea; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02481, Republic of Korea; Exopert Corporation, Seoul, 02580, Republic of Korea
| | - Jong Bum Lee
- Department of Chemical Engineering, University of Seoul, Seoul, 02504, Republic of Korea
| | - Inhee Choi
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea; Department of Applied Chemistry, University of Seoul, Seoul, 02504, Republic of Korea.
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2
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Feng Z, Jia Y, Cui H. Engineering the surface roughness of the gold nanoparticles for the modulation of LSPR and SERS. J Colloid Interface Sci 2024; 672:1-11. [PMID: 38823218 DOI: 10.1016/j.jcis.2024.05.217] [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: 12/31/2023] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/03/2024]
Abstract
In this work, we reported that by using a strong thiol ligand as the morphology-directing reagent, a series of Au nanoparticles with plate-like surface sub-structures could be successfully obtained via a one-pot seedless synthesis. The size and the density of the plates on the surface of Au can be readily tuned with the amount of the thiol ligand, resembling different roughness of the surface. Arising from the different surface roughness, the localized surface plasmon resonance (LSPR) of these shape and morphological alike Au nanoparticles can be continuously tuned within the visible-NIR region. The broad LSPR absorptions and feasible tunability make the Au nanoparticles suitable candidate for plasmonic-related applications. Interestingly, huge SERS enhancement was simultaneously achieved based on the specific surface roughness. Our results demonstrate the great potentials for tuning the LSPR and SERS of Au nanostructures through the engineering of the surface morphologies, which would assist for the design, synthesis, and applications of Au-based plasmonic nanomaterials in various fields.
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Affiliation(s)
- Ziqi Feng
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255000, China
| | - Yun Jia
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255000, China.
| | - Hongyou Cui
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255000, China.
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3
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Li D, Yue W, He Q, Gao P, Gong T, Luo Y, Wang C, Luo X. Single-molecule detection of SARS-CoV-2 N protein on multilayered plasmonic nanotraps with surface-enhanced Raman spectroscopy. Talanta 2024; 278:126494. [PMID: 38955100 DOI: 10.1016/j.talanta.2024.126494] [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: 04/08/2024] [Revised: 06/21/2024] [Accepted: 06/28/2024] [Indexed: 07/04/2024]
Abstract
The spread of the SARS-CoV-2 virus has had an unprecedented impact, both by posing a serious risk to human health and by amplifying the burden on the global economy. The rapid identification of the SARS-CoV-2 virus has been crucial to preventing and controlling the spread of SARS-CoV-2 infections. In this study, we propose a multilayered plasmonic nanotrap (MPNT) device for the rapid identification of single particles of SARS-CoV-2 virus in ultra-high sensitivity by surface-enhanced Raman scattering (SERS). The MPNT device is composed of arrays of concentric cylindrical cavities with Ag/SiO2/Ag multilayers deposited on the top and at the bottom. By varying the diameter of the cylinders and the thickness of the multilayers, the resonant optical absorption and local electric field were optimized. The SERS enhancement factors of the proposed device are of the order of 108, which enable the rapid identification of SARS-CoV-2 N protein in concentrations as low as 1.25 × 10-15-12.5 × 10-15 g mL-1 within 1 min. The developed MPNT SERS device provides a label-free and rapid detection platform for SARS-CoV-2 virus. The general nature of the device makes it equally suitable to detect other infectious viruses.
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Affiliation(s)
- Dongxian Li
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Weisheng Yue
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiong He
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ping Gao
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China
| | - Tiancheng Gong
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yunfei Luo
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Changtao Wang
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiangang Luo
- Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, P.O. Box 350, Chengdu, 610209, China; School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, 100049, China.
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4
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Zhao D, Jia W, Feng X, Yang H, Xie Y, Shang J, Wang P, Guo Y, Li RW. Flexible Sensors Based on Conductive Polymer Composites. SENSORS (BASEL, SWITZERLAND) 2024; 24:4664. [PMID: 39066060 PMCID: PMC11280612 DOI: 10.3390/s24144664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 07/11/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
Elastic polymer-based conductive composites (EPCCs) are of great potential in the field of flexible sensors due to the advantages of designable functionality and thermal and chemical stability. As one of the popular choices for sensor electrodes and sensitive materials, considerable progress in EPCCs used in sensors has been made in recent years. In this review, we introduce the types and the conductive mechanisms of EPCCs. Furthermore, the recent advances in the application of EPCCs to sensors are also summarized. This review will provide guidance for the design and optimization of EPCCs and offer more possibilities for the development and application of flexible sensors.
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Affiliation(s)
- Dan Zhao
- College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiwei Jia
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaona Feng
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huali Yang
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yali Xie
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Shang
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Pengjun Wang
- College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
| | - Yufeng Guo
- College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
| | - Run-Wei Li
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
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5
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Song K, Xue W, Li X, Chang Y, Liu M. Self-Assembly of Single-Virus SERS Hotspots for Highly Sensitive In Situ Detection of SARS-CoV-2 on Solid Surfaces. Anal Chem 2024; 96:8830-8836. [PMID: 38693713 DOI: 10.1021/acs.analchem.4c01607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Microbial surface transmission has aroused great attention since the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Developing a simple in situ detection method for viruses on solid surfaces is of great significance for timely public health surveillance. Taking advantage of the natural structure of SARS-CoV-2, we reported the assembly of Au@AgNPs on the surface of a single virus by the specific aptamer-spike protein interaction. Multiple hotspots can be created between the neighboring Au@AgNPs for the highly sensitive surface-enhanced Raman scattering (SERS) detection of SARS-CoV-2. Using two different aptamers labeled with Cy3 and Au@AgNPs, in situ SERS detection of pseudotyped SARS-CoV-2 (PSV) on packaging surfaces was achieved within 20 min, with a detection limit of 5.26 TCID50/mL. For the blind testing of 20 PSV-contaminated packaging samples, this SERS aptasensor had a sensitivity of 100% and an accuracy of 100%. This assay has been successfully applied to in situ detection of PSV on the surfaces of different packaging materials, suggesting its potential applicability.
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Affiliation(s)
- Kaiyun Song
- School of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian POCT laboratory, Dalian University of Technology, Dalian 116024, China
| | - Wei Xue
- School of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian POCT laboratory, Dalian University of Technology, Dalian 116024, China
| | - Xiaona Li
- School of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian POCT laboratory, Dalian University of Technology, Dalian 116024, China
| | - Yangyang Chang
- School of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian POCT laboratory, Dalian University of Technology, Dalian 116024, China
| | - Meng Liu
- School of Environmental Science and Technology, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian POCT laboratory, Dalian University of Technology, Dalian 116024, China
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6
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Xu D, Su W, Luo Y, Wang Z, Yin C, Chen B, Zhang Y. Cellulose Nanofiber Films with Gold Nanoparticles Electrostatically Adsorbed for Facile Surface-Enhanced Raman Scattering Detection. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 38657211 DOI: 10.1021/acsami.4c03255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Cellulose nanofiber (CNF) holds great promise in applications such as surface-enhanced Raman scattering (SERS), catalysis, esthesia, and detection. This study aimed to build novel CNF-based SERS substrates through a facile synthetic method. Citrate-reduced gold nanoparticles (AuNPs) were adsorbed on the cationized CNF surface due to electrostatic interactions, and uniform AuNPs@(2,3-epoxypropyl trimethylammonium chloride)EPTMAC@CNF flexible SERS substrates were prepared by a simple vacuum-assisted filtration method. The probe molecule methylene blue was chosen to assess the performance of the CNF-based SERS substrate with a sensitivity up to 10-9 M, superior signal reproducibility (relative standard deviation (RSD) = 4.67%), and storage stability (more than 30 days). Tensile strength tests indicated that the CNF-based films had good mechanical properties. In addition, CNF-based substrates can easily capture and visually identify microplastics in water. These results demonstrate the potential application of the flexible, self-assembled AuNPs@EPTMAC@CNF flexible SERS substrate for prompt and sensitive detection of trace substances.
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Affiliation(s)
- Dewen Xu
- College of Mechanics and Engineering Science, Hohai University, Changzhou 213022, China
- Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
| | - Wei Su
- College of Mechanics and Engineering Science, Hohai University, Changzhou 213022, China
| | - Yinlong Luo
- College of Mechanics and Engineering Science, Hohai University, Changzhou 213022, China
| | - Zhenfeng Wang
- College of Mechanics and Engineering Science, Hohai University, Changzhou 213022, China
| | - Cheng Yin
- College of Mechanics and Engineering Science, Hohai University, Changzhou 213022, China
| | - Bingyan Chen
- College of Mechanics and Engineering Science, Hohai University, Changzhou 213022, China
| | - Yunhai Zhang
- Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
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7
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Wetzel C, Jansen-Olliges L, Stadler M, Surup F, Zeilinger C, Roth B. Analysis of SARS-CoV-2 spike RBD binding to ACE2 and its inhibition by fungal cohaerin C using surface enhanced Raman spectroscopy. BIOMEDICAL OPTICS EXPRESS 2023; 14:4097-4111. [PMID: 37799683 PMCID: PMC10549735 DOI: 10.1364/boe.495685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/14/2023] [Accepted: 06/26/2023] [Indexed: 10/07/2023]
Abstract
The structure of the SARS-CoV-2 spike RBD and human ACE2 as well as changes in the structure due to binding activities were analysed using surface enhanced Raman spectroscopy. The inhibitor cohaerin C was applied to inhibit the binding between spike RBD and ACE2. Differences and changes in the Raman spectra were determined using deconvolution of the amide bands and principal component analysis. We thus demonstrate a fast and label-free analysis of the protein structures and the differentiation between bound and unbound states. The approach is suitable for sensing and screening and might be relevant to investigate other protein systems as well.
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Affiliation(s)
- Christoph Wetzel
- Leibniz University Hannover, Hannover Centre for Optical Technologies, Nienburger Str. 17, 30167 Hannover, Germany
| | - Linda Jansen-Olliges
- Leibniz University Hannover, Centre of Biomolecular Drug Research, Schneiderberg 38, 30167 Hannover, Germany
| | - Marc Stadler
- Helmholtz Centre for Infection Research GmbH, Department Microbial Drugs, Inhoffenstraße 7, 38124 Braunschweig, Germany
- Technische Universität Braunschweig, Institute of Microbiology, Spielmannstraße 7, 38106 Braunschweig, Germany
| | - Frank Surup
- Helmholtz Centre for Infection Research GmbH, Department Microbial Drugs, Inhoffenstraße 7, 38124 Braunschweig, Germany
- Technische Universität Braunschweig, Institute of Microbiology, Spielmannstraße 7, 38106 Braunschweig, Germany
| | - Carsten Zeilinger
- Leibniz University Hannover, Centre of Biomolecular Drug Research, Schneiderberg 38, 30167 Hannover, Germany
| | - Bernhard Roth
- Leibniz University Hannover, Hannover Centre for Optical Technologies, Nienburger Str. 17, 30167 Hannover, Germany
- Leibniz University Hannover, Cluster of Excellence PhoenixD, Welfenplatz 1, 30167 Hannover, Germany
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8
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Li X, Li L, Wang Y, Hao X, Wang C, Yang Z, Li H. Ag NPs@PDMS nanoripple array films as SERS substrates for rapid in situ detection of pesticide residues. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 299:122877. [PMID: 37209479 DOI: 10.1016/j.saa.2023.122877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/06/2023] [Accepted: 05/10/2023] [Indexed: 05/22/2023]
Abstract
The large-area fabrication of flexible and transparent surface-enhanced Raman scattering (SERS) substrates with high performance by a facile and efficient method is still challenging. Here, we demonstrated a large-scale, flexible and transparent SERS substrate composed of PDMS nanoripple array film decorated with silver nanoparticles (Ag NPs@PDMS-NR array film) prepared by a combination of plasma treatment and magnetron sputtering. The performances of SERS substrates were characterized by rhodamine 6G (R6G) using a handheld Raman spectrometer. The optimal Ag NPs@PDMS-NR array film exhibited high SERS sensitivity, with a detection limitation of R6G reaching 8.20 × 10-8 M as well as excellent uniformity (RSD = 6.8%) and batch-to-batch reproducibility (RSD = 2.3%). In addition, the substrate showed outstanding mechanical stability and good SERS enhancement by backside illumination, thus it was suitable for in situ SERS detection on curved surfaces. The detection limit of malachite green on apple and tomato peels was 1.19 × 10-7 and 1.16 × 10-7 M, respectively, and quantitative analysis of pesticide residues could be realized. These results demonstrate that the Ag NPs@PDMS-NR array film has great practical potential in rapid in situ detection of pollutants.
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Affiliation(s)
- Xiaojian Li
- School of Physical Science and Information Technology, Key Laboratory of Optical Communication Science and Technology of Shandong Province, Liaocheng University, Liaocheng 252000, PR China
| | - Lijun Li
- School of Physical Science and Information Technology, Key Laboratory of Optical Communication Science and Technology of Shandong Province, Liaocheng University, Liaocheng 252000, PR China
| | - Yangzhi Wang
- School of Physical Science and Information Technology, Key Laboratory of Optical Communication Science and Technology of Shandong Province, Liaocheng University, Liaocheng 252000, PR China
| | - Xuehui Hao
- School of Materials Science and Engineering, Liaocheng University, Liaocheng 252000, PR China
| | - Changzheng Wang
- School of Materials Science and Engineering, Liaocheng University, Liaocheng 252000, PR China
| | - Zhenshan Yang
- School of Physical Science and Information Technology, Key Laboratory of Optical Communication Science and Technology of Shandong Province, Liaocheng University, Liaocheng 252000, PR China
| | - Hefu Li
- School of Physical Science and Information Technology, Key Laboratory of Optical Communication Science and Technology of Shandong Province, Liaocheng University, Liaocheng 252000, PR China.
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Trinh KTL, Do HDK, Lee NY. Recent Advances in Molecular and Immunological Diagnostic Platform for Virus Detection: A Review. BIOSENSORS 2023; 13:bios13040490. [PMID: 37185566 PMCID: PMC10137144 DOI: 10.3390/bios13040490] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 05/17/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused an ongoing coronavirus disease (COVID-19) outbreak and a rising demand for the development of accurate, timely, and cost-effective diagnostic tests for SARS-CoV-2 as well as other viral infections in general. Currently, traditional virus screening methods such as plate culturing and real-time PCR are considered the gold standard with accurate and sensitive results. However, these methods still require sophisticated equipment, trained personnel, and a long analysis time. Alternatively, with the integration of microfluidic and biosensor technologies, microfluidic-based biosensors offer the ability to perform sample preparation and simultaneous detection of many analyses in one platform. High sensitivity, accuracy, portability, low cost, high throughput, and real-time detection can be achieved using a single platform. This review presents recent advances in microfluidic-based biosensors from many works to demonstrate the advantages of merging the two technologies for sensing viruses. Different platforms for virus detection are classified into two main sections: immunoassays and molecular assays. Moreover, available commercial sensing tests are analyzed.
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Affiliation(s)
- Kieu The Loan Trinh
- Department of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea
| | - Hoang Dang Khoa Do
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ward 13, District 04, Ho Chi Minh City 70000, Vietnam
| | - Nae Yoon Lee
- Department of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea
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10
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Luo X, Yue W, Zhang S, Liu H, Chen Z, Qiao L, Wu C, Li P, He Y. SARS-CoV-2 proteins monitored by long-range surface plasmon field-enhanced Raman scattering with hybrid bowtie nanoaperture arrays and nanocavities. LAB ON A CHIP 2023; 23:388-399. [PMID: 36621932 DOI: 10.1039/d2lc01006b] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The identification of biomacromolecules by using surface-enhanced Raman scattering (SERS) remains a challenge because of the near-field effect of traditional substrates. Long-range surface plasmon resonance (LRSPR) is a special type of surface optical phenomenon that provides higher electromagnetic field enhancement and longer penetration depth than conventional surface plasmon resonance. To break the limit of SERS detection distance and obtain a SERS substrate with increased enhancement ability, a bowtie nanoaperture array was sandwiched between two symmetric dielectric environments. Then, an Au mirror was inserted to form a metal-insulator-metal configuration. Finite-difference time-domain simulations revealed that numerous hybrid modes can be provided by this novel configuration (denoted as long-range SERS [LR-SERS] substrate). In particular, the LRSPR mode can be excited and reach the maximum value through the regulation of the polarizations of the incident light and the geometrical parameters of the LR-SERS substrate. The optimized LR-SERS substrate was then applied to detect SARS-CoV-2 spike (S) and nucleocapsid (N) proteins. This substrate displayed ultralow detection limits of ∼9.2 and ∼11.3 pg mL-1 for the S and N proteins, respectively. Moreover, with the help of principal component analysis and receiver operating characteristic methods, our fabricated sensors exhibited excellent selectivity and hold great potential for the diagnosis of SARS-CoV-2 proteins in real samples.
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Affiliation(s)
- Xiaojun Luo
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Weiling Yue
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Shutong Zhang
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Haopeng Liu
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Zhinan Chen
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Ling Qiao
- Division of Chemistry and Biological Chemistry, School of Physical & Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore
| | - Caijun Wu
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Panjie Li
- School of Chemistry and Chemical Engineering, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
| | - Yi He
- School of Science, Xihua University, Chengdu 610039, P. R. China.
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11
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Cai L, Fang G, Tang J, Cheng Q, Han X. Label-Free Surface-Enhanced Raman Spectroscopic Analysis of Proteins: Advances and Applications. Int J Mol Sci 2022; 23:ijms232213868. [PMID: 36430342 PMCID: PMC9695365 DOI: 10.3390/ijms232213868] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/05/2022] [Accepted: 11/07/2022] [Indexed: 11/12/2022] Open
Abstract
Surface-enhanced Raman spectroscopy (SERS) is powerful for structural characterization of biomolecules under physiological condition. Owing to its high sensitivity and selectivity, SERS is useful for probing intrinsic structural information of proteins and is attracting increasing attention in biophysics, bioanalytical chemistry, and biomedicine. This review starts with a brief introduction of SERS theories and SERS methodology of protein structural characterization. SERS-active materials, related synthetic approaches, and strategies for protein-material assemblies are outlined and discussed, followed by detailed discussion of SERS spectroscopy of proteins with and without cofactors. Recent applications and advances of protein SERS in biomarker detection, cell analysis, and pathogen discrimination are then highlighted, and the spectral reproducibility and limitations are critically discussed. The review ends with a conclusion and a discussion of current challenges and perspectives of promising directions.
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Affiliation(s)
- Linjun Cai
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, China
- Correspondence: (L.C.); (X.H.)
| | - Guilin Fang
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, China
| | - Jinpin Tang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China
| | - Qiaomei Cheng
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, China
| | - Xiaoxia Han
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China
- Correspondence: (L.C.); (X.H.)
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