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Wang Y, Jing Y, Cao J, Sun Y, Guo K, Chen X, Li Z, Shi Q, Hu X. Application of Surface-Enhanced Raman Spectroscopy Combined with Immunoassay for the Detection of Adrenoceptor Agonists. Foods 2024; 13:1805. [PMID: 38928747 PMCID: PMC11202903 DOI: 10.3390/foods13121805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
Rapid, sensitive, and accurate detection of adrenoceptor agonists is a significant research topic in the fields of food safety and public health. Immunoassays are among the most widely used methods for detecting adrenoceptor agonists. In recent years, surface-enhanced Raman spectroscopy combined with immunoassay (SERS-IA) has become an effective technique for improving detection sensitivity. This review focuses on the innovation of Raman reporter molecules and substrate materials for the SERS-IA of adrenoceptor agonists. In addition, it also investigates the challenges involved in potentially applying SERS-IA in the detection of adrenoceptor agonists. Overall, this review provides insight into the design and application of SERS-IA for the detection of adrenoceptor agonists, which is critical for animal-derived food safety and public health.
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Affiliation(s)
- Yao Wang
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Yubing Jing
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Jinbo Cao
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Yingying Sun
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Kaitong Guo
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Xiujin Chen
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Zhaozhou Li
- Henan International Joint Laboratory of Food Green Processing and Quality Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China; (Y.J.); (J.C.); (Y.S.); (K.G.); (X.C.); (Z.L.)
| | - Qiaoqiao Shi
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China;
| | - Xiaofei Hu
- Henan Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
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Xu S, Wu XH, Wu L, Zhai JM, Li SJ, Kou Y, Peng W, Zheng QN, Tian JH, Zhang YJ, Li JF. Systematic Optimization of Universal Real-Time Hypersensitive Fast Detection Method for HBsAg in Serum Based on SERS. Anal Chem 2024; 96:6784-6793. [PMID: 38632870 DOI: 10.1021/acs.analchem.4c00668] [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: 04/19/2024]
Abstract
Hepatitis B virus (HBV) is a major cause of liver cirrhosis and hepatocellular carcinoma, with HBV surface antigen (HBsAg) being a crucial marker in the clinical detection of HBV. Due to the significant harm and ease of transmission associated with HBV, HBsAg testing has become an essential part of preoperative assessments, particularly for emergency surgeries where healthcare professionals face exposure risks. Therefore, a timely and accurate detection method for HBsAg is urgently needed. In this study, a surface-enhanced Raman scattering (SERS) sensor with a sandwich structure was developed for HBsAg detection. Leveraging the ultrasensitive and rapid detection capabilities of SERS, this sensor enables quick detection results, significantly reducing waiting times. By systematically optimizing critical factors in the detection process, such as the composition and concentration of the incubation solution as well as the modification conditions and amount of probe particles, the sensitivity of the SERS immune assay system was improved. Ultimately, the sensor achieved a sensitivity of 0.00576 IU/mL within 12 min, surpassing the clinical requirement of 0.05 IU/mL by an order of magnitude. In clinical serum assay validation, the issue of false positives was effectively addressed by adding a blocker. The final sensor demonstrated 100% specificity and sensitivity at the threshold of 0.05 IU/mL. Therefore, this study not only designed an ultrasensitive SERS sensor for detecting HBsAg in actual clinical serum samples but also provided theoretical support for similar systems, filling the knowledge gap in existing literature.
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Affiliation(s)
- Shanshan Xu
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Xiao-Hang Wu
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Lin Wu
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Jia-Min Zhai
- College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
| | - Shi-Jun Li
- College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
| | - Yichuan Kou
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Wei Peng
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Qing-Na Zheng
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Jing-Hua Tian
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
| | - Yue-Jiao Zhang
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Jian-Feng Li
- College of Materials, College of Energy, College of Physical Science and Technology, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Department of Clinical Laboratory, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
- College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
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3
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Terzapulo X, Kassenova A, Bukasov R. Immunoassays: Analytical and Clinical Performance, Challenges, and Perspectives of SERS Detection in Comparison with Fluorescent Spectroscopic Detection. Int J Mol Sci 2024; 25:2080. [PMID: 38396756 PMCID: PMC10889711 DOI: 10.3390/ijms25042080] [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: 11/29/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024] Open
Abstract
Immunoassays (IAs) with fluorescence-based detection are already well-established commercialized biosensing methods, such as enzyme-linked immunosorbent assay (ELISA) and lateral flow immunoassay (LFIA). Immunoassays with surface-enhanced Raman spectroscopy (SERS) detection have received significant attention from the research community for at least two decades, but so far they still lack a wide clinical commercial application. This review, unlike any other review that we have seen, performs a three-dimensional performance comparison of SERS IAs vs. fluorescence IAs. First, we compared the limit of detection (LOD) as a key performance parameter for 30 fluorescence and 30 SERS-based immunoassays reported in the literature. We also compared the clinical performances of a smaller number of available reports for SERS vs. fluorescence immunoassays (FIAs). We found that the median and geometric average LODs are about 1.5-2 orders of magnitude lower for SERS-based immunoassays in comparison to fluorescence-based immunoassays. For instance, the median LOD for SERS IA is 4.3 × 10-13 M, whereas for FIA, it is 1.5 × 10-11 M. However, there is no significant difference in average relative standard deviation (RSD)-both are about 5-6%. The analysis of sensitivity, selectivity, and accuracy reported for a limited number of the published clinical studies with SERS IA and FIA demonstrates an advantage of SERS IA over FIA, at least in terms of the median value for all three of those parameters. We discussed common and specific challenges to the performances of both SERS IA and FIA, while proposing some solutions to mitigate those challenges for both techniques. These challenges include non-specific protein binding, non-specific interactions in the immunoassays, sometimes insufficient reproducibility, relatively long assay times, photobleaching, etc. Overall, this review may be useful for a large number of researchers who would like to use immunoassays, but particularly for those who would like to make improvements and move forward in both SERS-based IAs and fluorescence-based IAs.
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Affiliation(s)
| | | | - Rostislav Bukasov
- Department of Chemistry, Nazarbayev University, Kabanbay Batyr Ave. 53, Astana 010000, Kazakhstan
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4
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Sun Y, Zheng X, Wang H, Yan M, Chen Z, Yang Q, Shao Y. Research advances of SERS analysis method based on silent region molecules for food safety detection. Mikrochim Acta 2023; 190:387. [PMID: 37700165 DOI: 10.1007/s00604-023-05968-9] [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: 06/22/2023] [Accepted: 08/27/2023] [Indexed: 09/14/2023]
Abstract
Food safety is a critical issue that is closely related to people's health and safety. As a simple, rapid, and sensitive detection technique, surface-enhanced Raman scattering (SERS) technology has significant potential for food safety detection. Recently, researchers have shown a growing interest in utilizing silent region molecules for SERS analysis. These molecules exhibit significant Raman scattering peaks in the cellular Raman silent region between 1800 and 2800 cm-1 avoiding overlapping with the SERS spectrum of biological matrices in the range 600-1800 cm-1, which could effectively circumvent matrix effects and improve the SERS accuracy. In this review, the application of silent region molecules-based SERS analytical technique for food safety detection is introduced, detection strategies including label-free detection and labeled detection are discussed, and recent applications of SERS analysis technology based on molecules containing alkyne and nitrile groups, as well as Prussian blue (PB) in the detection of pesticides, mycotoxins, metal ions, and foodborne pathogens are highlighted. This review aims to draw the attention to the silent region molecules-based SERS analytical technique and to provide theoretical support for its further applications in food safety detection.
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Affiliation(s)
- Yuhang Sun
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Xinxin Zheng
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China
| | - Hao Wang
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Mengmeng Yan
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Zilei Chen
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Qinzheng Yang
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China.
| | - Yong Shao
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Science, Beijing, 100081, China.
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5
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Subekin A, Alieva R, Kukushkin V, Oleynikov I, Zavyalova E. Rapid SERS Detection of Botulinum Neurotoxin Type A. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2531. [PMID: 37764560 PMCID: PMC10535226 DOI: 10.3390/nano13182531] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/07/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is a powerful technique for decoding of 2-5-component mixes of analytes. Low concentrations of analytes and complex biological media are usually non-decodable with SERS. Recognition molecules, such as antibodies and aptamers, provide an opportunity for a specific binding of ultra-low contents of analyte dissolved in complex biological media. Different approaches have been proposed to provide changes in SERS intensity of an external label upon binding of ultra-low contents of the analytes. In this paper, we propose a SERS-based sensor for the rapid and sensitive detection of botulinum toxin type A. The silver nanoisland SERS substrate was functionalized using an aptamer conjugated with a Raman label. The binding of the target affects the orientation of the label, providing changes in an analytical signal. This trick allowed detecting botulinum toxin type A in a one-stage manner without additional staining with a monotonous dose dependence and a limit of detection of 2.4 ng/mL. The proposed sensor architecture is consistent with the multiarray detection systems for multiplex analyses.
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Affiliation(s)
- Alexei Subekin
- Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia; (A.S.); (R.A.)
| | - Rugiya Alieva
- Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia; (A.S.); (R.A.)
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Vladimir Kukushkin
- Osipyan Institute of Solid State Physics of the Russian Academy of Science, 142432 Chernogolovka, Russia;
| | - Ilya Oleynikov
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia;
| | - Elena Zavyalova
- Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia; (A.S.); (R.A.)
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia
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6
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Guan PC, Zhang H, Li ZY, Xu SS, Sun M, Tian XM, Ma Z, Lin JS, Gu MM, Wen H, Zhang FL, Zhang YJ, Yu GJ, Yang C, Wang ZX, Song Y, Li JF. Rapid Point-of-Care Assay by SERS Detection of SARS-CoV-2 Virus and Its Variants. Anal Chem 2022; 94:17795-17802. [PMID: 36511436 PMCID: PMC9762416 DOI: 10.1021/acs.analchem.2c03437] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/25/2022] [Indexed: 12/15/2022]
Abstract
Addressing the spread of coronavirus disease 2019 (COVID-19) has highlighted the need for rapid, accurate, and low-cost diagnostic methods that detect specific antigens for SARS-CoV-2 infection. Tests for COVID-19 are based on reverse transcription PCR (RT-PCR), which requires laboratory services and is time-consuming. Here, by targeting the SARS-CoV-2 spike protein, we present a point-of-care SERS detection platform that specifically detects SARS-CoV-2 antigen in one step by captureing substrates and detection probes based on aptamer-specific recognition. Using the pseudovirus, without any pretreatment, the SARS-CoV-2 virus and its variants were detected by a handheld Raman spectrometer within 5 min. The limit of detection (LoD) for the pseudovirus was 124 TU μL-1 (18 fM spike protein), with a linear range of 250-10,000 TU μL-1. Moreover, this assay can specifically recognize the SARS-CoV-2 antigen without cross reacting with specific antigens of other coronaviruses or influenza A. Therefore, the platform has great potential for application in rapid point-of-care diagnostic assays for SARS-CoV-2.
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Affiliation(s)
- Peng-Cheng Guan
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Hong Zhang
- Shanghai
Children’s Hospital, Shanghai Jiao
Tong University, Shanghai 200062, China
| | - Zhi-Yong Li
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Shan-Shan Xu
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Miao Sun
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Xian-Min Tian
- Shanghai
Children’s Hospital, Shanghai Jiao
Tong University, Shanghai 200062, China
| | - Zhan Ma
- Shanghai
Children’s Hospital, Shanghai Jiao
Tong University, Shanghai 200062, China
| | - Jia-Sheng Lin
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Man-Man Gu
- Department
of Optics and Electronic Technology, China
Jiliang University, Hangzhou 310018, China
| | - Huan Wen
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Fan-Li Zhang
- Department
of Optics and Electronic Technology, China
Jiliang University, Hangzhou 310018, China
| | - Yue-Jiao Zhang
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Guang-Jun Yu
- Shanghai
Children’s Hospital, Shanghai Jiao
Tong University, Shanghai 200062, China
| | - Chaoyong Yang
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
- Innovation
Laboratory for Sciences and Technologies of Energy Materials of Fujian
Province (IKKEM), Xiamen 361005, China
| | - Zhan-Xiang Wang
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Yanling Song
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
| | - Jian-Feng Li
- College
of Materials, State Key Laboratory for Physical Chemistry of Solid
Surfaces, iChEM, MOE Key Laboratory of Spectrochemical Analysis and
Instrumentation, College of Chemistry and Chemical Engineering, College
of Energy, The First Affiliated Hospital, Xiamen University, Xiamen 361005, China
- Innovation
Laboratory for Sciences and Technologies of Energy Materials of Fujian
Province (IKKEM), Xiamen 361005, China
- Department
of Optics and Electronic Technology, China
Jiliang University, Hangzhou 310018, China
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Geng P, Sun S, Wang X, Ma L, Guo C, Li J, Guan M. Rapid and sensitive detection of amphetamine by SERS-based competitive immunoassay coupled with magnetic separation. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:2608-2615. [PMID: 35726804 DOI: 10.1039/d2ay00581f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Amphetamine (AMP), as a psychiatric drug acting on the central nervous system, and has become one of the most common drugs of abuse in the illegal market at present, which adversely affects social public safety. We developed a SERS magnetic immunoassay with high sensitivity, specificity, and rapid and quantitative detection of AMP. We synthesized a high SERS intensity substrate (Au-XP013@Ag) using the "hot spot" effect and combined it with antibodies to form SERS immunotags (Au-XP013@Ag-AMP-mAb). Subsequently, the carboxyl magnetic beads were linked to label antigens as functional magnetic beads (carboxyl magnetic beads-AMP-BSA). Using the principle of competitive immunoassay, the Raman response value of the immune complex formed with SERS tags and functional magnetic beads was detected to realize the quantitative detection of AMP. The detection limit of this method for AMP was 2.28 ng mL-1. More importantly, a portable Raman instrument was used in this study, which can meet the requirements of point-of-care testing (POCT). Therefore, this SERS-based magnetic immunoassay can provide a favorable scientific basis for the control of drug abuse, monitoring by law enforcement agencies, and determination of drug users.
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Affiliation(s)
- Pengfei Geng
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China.
| | - Shijiao Sun
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China.
| | - Xiaomei Wang
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China.
| | - Li Ma
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China.
| | - Chang Guo
- Shanghai Simp Bio-Science Co., Ltd, Shanghai 200000, China
| | - Jiutong Li
- Shanghai Simp Bio-Science Co., Ltd, Shanghai 200000, China
| | - Ming Guan
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China.
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8
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Rebrosova K, Samek O, Kizovsky M, Bernatova S, Hola V, Ruzicka F. Raman Spectroscopy—A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings. Front Cell Infect Microbiol 2022; 12:866463. [PMID: 35531343 PMCID: PMC9072635 DOI: 10.3389/fcimb.2022.866463] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/07/2022] [Indexed: 12/02/2022] Open
Abstract
Rapid and accurate identification of pathogens causing infections is one of the biggest challenges in medicine. Timely identification of causative agents and their antimicrobial resistance profile can significantly improve the management of infection, lower costs for healthcare, mitigate ever-growing antimicrobial resistance and in many cases, save lives. Raman spectroscopy was shown to be a useful—quick, non-invasive, and non-destructive —tool for identifying microbes from solid and liquid media. Modifications of Raman spectroscopy and/or pretreatment of samples allow single-cell analyses and identification of microbes from various samples. It was shown that those non-culture-based approaches could also detect antimicrobial resistance. Moreover, recent studies suggest that a combination of Raman spectroscopy with optical tweezers has the potential to identify microbes directly from human body fluids. This review aims to summarize recent advances in non-culture-based approaches of identification of microbes and their virulence factors, including antimicrobial resistance, using methods based on Raman spectroscopy in the context of possible use in the future point-of-care diagnostic process.
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Affiliation(s)
- Katarina Rebrosova
- Department of Microbiology, Faculty of Medicine of Masaryk University and St. Anne’s University Hospital, Brno, Czechia
| | - Ota Samek
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czechia
| | - Martin Kizovsky
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czechia
| | - Silvie Bernatova
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czechia
| | - Veronika Hola
- Department of Microbiology, Faculty of Medicine of Masaryk University and St. Anne’s University Hospital, Brno, Czechia
- *Correspondence: Veronika Hola,
| | - Filip Ruzicka
- Department of Microbiology, Faculty of Medicine of Masaryk University and St. Anne’s University Hospital, Brno, Czechia
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9
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Highly sensitive detection of three protein toxins via SERS-lateral flow immunoassay based on SiO 2@Au nanoparticles. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2022; 41:102522. [PMID: 35032631 DOI: 10.1016/j.nano.2022.102522] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 12/16/2021] [Accepted: 01/03/2022] [Indexed: 11/21/2022]
Abstract
We developed surface-enhanced Raman scattering-lateral flow immunoassay (SERS-LFIA) biosensor strips based on SiO2@Au nanoparticles (NPs) for the specific and highly sensitive detection of ricin, staphylococcal enterotoxin B (SEB), and botulinum neurotoxin type A (BoNT/A). SiO2@Au NPs were used to prepare SERS tags with useful properties, such as light weight, uniform particle size, good dispersion, and high SERS performance. The detection limit of the SERS-LFIA strips developed herein for ricin, SEB, and BoNT/A was 0.1, 0.05, and 0.1 ng/mL. Their sensitivity was 100-fold higher than that of colloidal gold-LFIA strips, and the same batch of strips had good repeatability. Moreover, the test was completed within 15 min, indicating that the strips are suitable for the rapid and on-site detection of the said toxins. The SERS-LFIA strips based on SiO2@Au NPs developed herein for the detection of toxins are important to the prevention of bioterrorism attacks.
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10
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Serebrennikova KV, Berlina AN, Sotnikov DV, Zherdev AV, Dzantiev BB. Raman Scattering-Based Biosensing: New Prospects and Opportunities. BIOSENSORS 2021; 11:512. [PMID: 34940269 PMCID: PMC8699498 DOI: 10.3390/bios11120512] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/10/2021] [Accepted: 12/11/2021] [Indexed: 05/02/2023]
Abstract
The growing interest in the development of new platforms for the application of Raman spectroscopy techniques in biosensor technologies is driven by the potential of these techniques in identifying chemical compounds, as well as structural and functional features of biomolecules. The effect of Raman scattering is a result of inelastic light scattering processes, which lead to the emission of scattered light with a different frequency associated with molecular vibrations of the identified molecule. Spontaneous Raman scattering is usually weak, resulting in complexities with the separation of weak inelastically scattered light and intense Rayleigh scattering. These limitations have led to the development of various techniques for enhancing Raman scattering, including resonance Raman spectroscopy (RRS) and nonlinear Raman spectroscopy (coherent anti-Stokes Raman spectroscopy and stimulated Raman spectroscopy). Furthermore, the discovery of the phenomenon of enhanced Raman scattering near metallic nanostructures gave impetus to the development of the surface-enhanced Raman spectroscopy (SERS) as well as its combination with resonance Raman spectroscopy and nonlinear Raman spectroscopic techniques. The combination of nonlinear and resonant optical effects with metal substrates or nanoparticles can be used to increase speed, spatial resolution, and signal amplification in Raman spectroscopy, making these techniques promising for the analysis and characterization of biological samples. This review provides the main provisions of the listed Raman techniques and the advantages and limitations present when applied to life sciences research. The recent advances in SERS and SERS-combined techniques are summarized, such as SERRS, SE-CARS, and SE-SRS for bioimaging and the biosensing of molecules, which form the basis for potential future applications of these techniques in biosensor technology. In addition, an overview is given of the main tools for success in the development of biosensors based on Raman spectroscopy techniques, which can be achieved by choosing one or a combination of the following approaches: (i) fabrication of a reproducible SERS substrate, (ii) synthesis of the SERS nanotag, and (iii) implementation of new platforms for on-site testing.
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Affiliation(s)
| | | | | | | | - Boris B. Dzantiev
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia; (K.V.S.); (A.N.B.); (D.V.S.); (A.V.Z.)
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11
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Yan M, Li H, Li M, Cao X, She Y, Chen Z. Advances in Surface-Enhanced Raman Scattering-Based Aptasensors for Food Safety Detection. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:14049-14064. [PMID: 34798776 DOI: 10.1021/acs.jafc.1c05274] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Owing to the excellent performances of high sensitivity, high specificity, on-site detection, and multiplexing capability, surface-enhanced Raman scattering (SERS)-based aptasensors have performed prosperous applications and gained impressive progress in food safety. Herein, we reviewed the SERS-based aptasensors from the principles to specific applications in food safety. First, the sensor-working principles, SERS label design and preparation are introduced. Then, the popular platforms in the aptasensors are summarized with their advantages and disadvantages, followed by their representative applications. Further, the specific applications of developing SERS-based aptasensors in food safety are systematically provided. Moreover, the multiplex analysis using SERS labels are highlighted. Finally, challenges and perspectives for improving the SERS-based aptasensor performance are also discussed, aiming to give some proposes for researchers to choose suitable SERS-based aptasensors according to specific applications.
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Affiliation(s)
- Mengmeng Yan
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, People's Republic of China
| | - Huidong Li
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, People's Republic of China
| | - Min Li
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, People's Republic of China
| | - Xiaolin Cao
- College of Life Science, Yantai University, Yantai, Shandong 264005, People's Republic of China
| | - Yongxin She
- Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, People's Republic of China
| | - Zilei Chen
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, People's Republic of China
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Yu Q, Wu Y, Kang T, Choo J. Development of surface-enhanced Raman scattering-based immunoassay platforms using hollow Au nanostars for reliable SARS-CoV-2 diagnosis. B KOREAN CHEM SOC 2021; 42:1699-1705. [PMID: 34898787 PMCID: PMC8653018 DOI: 10.1002/bkcs.12418] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 09/28/2021] [Indexed: 12/23/2022]
Abstract
We developed a novel surface‐enhanced Raman scattering (SERS)‐based SARS‐CoV‐2 assay platform using hollow Au nanostars to realize high‐sensitivity diagnosis of SARS‐CoV‐2. The assay was performed using SARS‐CoV‐2 lysate as the target in a wide dynamic range with virus concentrations ranging from 0 to 104 PFU/ml and has a limit of detection (LOD) of 5.1 PFU/ml. This LOD value shows 100 times and 10 times better sensitivity compared to the LODs measured on the same sample using a commercially available rapid kit and enzyme‐linked immunosorbent assay, respectively. Therefore, we believe that this SERS‐based SARS‐CoV‐2 assay platform has high diagnostic accuracy for early or asymptomatic infected patients with low virus concentrations. Furthermore, the probability of a false‐negative diagnosis is likely to be very low.
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Affiliation(s)
- Qian Yu
- Department of Chemistry, Chung-Ang University Seoul South Korea
| | - Yixuan Wu
- Department of Chemistry, Chung-Ang University Seoul South Korea
| | - Taejoon Kang
- Bionanotechnology Research Center Korea Research Institute of Bioscience and Biotechnology (KRIBB) Daejeon South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University Seoul South Korea
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13
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Magnetic surface-enhanced Raman scattering (MagSERS) biosensors for microbial food safety: Fundamentals and applications. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.05.007] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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14
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Lukose J, M. SP, N. M, Barik AK, Pai KM, Unnikrishnan VK, George SD, Kartha VB, Chidangil S. Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections. Biophys Rev 2021; 13:359-385. [PMID: 34093888 PMCID: PMC8170462 DOI: 10.1007/s12551-021-00807-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/07/2021] [Indexed: 12/12/2022] Open
Abstract
Human saliva can be treated as a pool of biological markers able to reflect on the state of personal health. Recent years have witnessed an increase in the use of optical devices for the analysis of body fluids. Several groups have carried out studies investigating the potential of saliva as a non-invasive and reliable clinical specimen for use in medical diagnostics. This brief review aims to highlight the optical technologies, mainly surface plasmon resonance (SPR), Raman, and Fourier transform infrared (FTIR) spectroscopy, which are being used for the probing of saliva for diverse biomedical applications. Advances in bio photonics offer the promise of unambiguous, objective and fast detection of abnormal health conditions and viral infections (such as COVID-19) from the analysis of saliva.
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Affiliation(s)
- Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Sanoop Pavithran M.
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Mithun N.
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Keerthilatha M. Pai
- Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - V. K. Unnikrishnan
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Sajan D. George
- Centre for Applied Nanoscience, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - V. B. Kartha
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
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Shin H, Seo D, Choi Y. Extracellular Vesicle Identification Using Label-Free Surface-Enhanced Raman Spectroscopy: Detection and Signal Analysis Strategies. Molecules 2020; 25:E5209. [PMID: 33182340 PMCID: PMC7664897 DOI: 10.3390/molecules25215209] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/19/2020] [Accepted: 11/05/2020] [Indexed: 02/07/2023] Open
Abstract
Extracellular vesicles (EVs) have been widely investigated as promising biomarkers for the liquid biopsy of diseases, owing to their countless roles in biological systems. Furthermore, with the notable progress of exosome research, the use of label-free surface-enhanced Raman spectroscopy (SERS) to identify and distinguish disease-related EVs has emerged. Even in the absence of specific markers for disease-related EVs, label-free SERS enables the identification of unique patterns of disease-related EVs through their molecular fingerprints. In this review, we describe label-free SERS approaches for disease-related EV pattern identification in terms of substrate design and signal analysis strategies. We first describe the general characteristics of EVs and their SERS signals. We then present recent works on applied plasmonic nanostructures to sensitively detect EVs and notable methods to interpret complex spectral data. This review also discusses current challenges and future prospects of label-free SERS-based disease-related EV pattern identification.
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Affiliation(s)
- Hyunku Shin
- Department of Bio-convergence Engineering, Korea University, Seoul 02841, Korea; (H.S.); (D.S.)
| | - Dongkwon Seo
- Department of Bio-convergence Engineering, Korea University, Seoul 02841, Korea; (H.S.); (D.S.)
| | - Yeonho Choi
- Department of Bio-convergence Engineering, Korea University, Seoul 02841, Korea; (H.S.); (D.S.)
- School of Biomedical Engineering, Korea University, Seoul 02841, Korea
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A novel SERS selective detection sensor for trace trinitrotoluene based on meisenheimer complex of monoethanolamine molecule. Talanta 2020; 218:121157. [PMID: 32797911 DOI: 10.1016/j.talanta.2020.121157] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 05/06/2020] [Accepted: 05/10/2020] [Indexed: 11/21/2022]
Abstract
Trinitrotoluene (TNT) is a primary component in chemical explosives, making them a common focus in public safety detection. However, it is very difficult to achieve selective and sensitive detection of the TNT molecule in practical application. In the present study, a simple surface enhanced Raman scattering (SERS) sensing based on monoethanolamine (MEA) - modified gold nanoparticles (Au NPs) was expanded for high selectivity and sensitive detecting of TNT in an envelope, luggage, lake water, and clothing through a quickly sampling and detection process. The monoethanolamine molecule based on Meisenheimer complex lights up ultra-high Raman scattering of a nonresonant molecule on the superficial coat of gold nanoparticles. Using this detection sensor, a molecular bridge can be established to selectively detect trinitrotoluene with a detection limit of 21.47 pM. We were able to rapidly identification trinitrotoluene molecule with a powerful selective over the familiar interfering substances nitrophenol, picric acid, 2,4-dinitrophenol, and 2,4-dinitrotoluene. The outcome in this work supply an efficient solution to the test of trinitrotoluene and to establishing a SERS sensor analytical strategy. The studies have demonstrated that the MEA-Au NPs based SERS sensing can be potentially used in field detection the trace amount of chemical explosives for public security.
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Qian J, Xing C, Ge Y, Li R, Li A, Yan W. Gold nanostars-enhanced Raman fingerprint strip for rapid detection of trace tetracycline in water samples. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 232:118146. [PMID: 32086043 DOI: 10.1016/j.saa.2020.118146] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 02/04/2020] [Accepted: 02/09/2020] [Indexed: 05/25/2023]
Abstract
Rapid and accurate detection of antibiotics at trace levels in food represents a great challenge. Tetracycline (TC), as a sort of broad-spectrum antibiotic, has been extensively used in animal infection therapy and animal husbandry as growth promoters. Large amounts of TC residues in animal-derived foods affect food quality and safety, and cause undesirable side effects such as allergic reactions and bacterial antibiotic resistance. Here, a Raman fingerprint strip sensor was reported based on surface-enhanced Raman scattering technology and demonstrated for ultrasensitive detection of TC. In this approach, 4-aminothiophenol (4-ATP) modified gold nanostars (GNSs) were used as a strong Raman reporter, which was coated with anti-TC monoclonal antibody serving as a biorecognition to acquire both visual and Raman signals on the test line. To demonstrate the performance of this strip, TC standard solutions with concentrations ranging from 0.5 to 50 ng/mL was detected, the limit of the detection (LOD) for the Raman signal was 0.04 ng/mL, which was 100 times more sensitive than those of color intensity quantifications. The other analogues, oxytetracycline, and chlortetracycline were detected using this method, making them suitable for the samples with TC analogues screening.
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Affiliation(s)
- Jing Qian
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Changrui Xing
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Yonghui Ge
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Rui Li
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Aitong Li
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Wenjing Yan
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
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Lee DJ, Kim DY. Hydrophobic Paper-Based SERS Sensor Using Gold Nanoparticles Arranged on Graphene Oxide Flakes. SENSORS (BASEL, SWITZERLAND) 2019; 19:E5471. [PMID: 31835903 PMCID: PMC6960698 DOI: 10.3390/s19245471] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 12/09/2019] [Accepted: 12/09/2019] [Indexed: 12/21/2022]
Abstract
Paper-based surface-enhanced Raman scattering (SERS) sensors have garnered much attention in the past decade owing to their ubiquity, ease of fabrication, and environmentally friendly substrate. The main drawbacks of a paper substrate for a SERS sensor are its high porosity, inherent hygroscopic nature, and hydrophilic surface property, which reduce the sensitivity and reproducibility of the SERS sensor. Here, we propose a simple, quick, convenient, and economical method for hydrophilic to hydrophobic surface modification of paper, while enhancing its mechanical and moisture-resistant properties. The hydrophobic paper (h-paper) was obtained by spin-coating diluted polydimethylsiloxane (PDMS) solution onto the filter paper, resulting in h-paper with an increased contact angle of up to ≈130°. To complete the h-paper-based SERS substrate, gold nanoparticles arranged on graphene oxide (AuNPs@GO) were synthesized using UV photoreduction, followed by drop-casting of AuNPs@GO solution on the h-paper substrate. The enhancement of the SERS signal was then assessed by attaching a rhodamine 6G (R6G) molecule as a Raman probe material to the h-paper-based SERS substrate. The limit of detection was 10 nM with an R2 of 0.966. The presented SERS sensor was also tested to detect a thiram at the micromolar level. We expect that our proposed AuNPs@GO/h-paper-based SERS sensor could be applied to point-of-care diagnostics applications in daily life and in spacecraft.
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Affiliation(s)
- Dong-Jin Lee
- Inha Research Institute for Aerospace Medicine, Inha University, Incheon 22212, Korea;
| | - Dae Yu Kim
- Inha Research Institute for Aerospace Medicine, Inha University, Incheon 22212, Korea;
- Department of Electrical Engineering, College of Engineering, Inha University, Incheon 22212, Korea
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Wei Q, Lin J, Liu F, Wen C, Li N, Huang G, Luo Z. Synthesis of MBA-Encoded Silver/Silica Core-Shell Nanoparticles as Novel SERS Tags for Biosensing Gibberellin A 3 Based on Au@Fe 3O 4 as Substrate. SENSORS (BASEL, SWITZERLAND) 2019; 19:E5152. [PMID: 31775290 PMCID: PMC6928791 DOI: 10.3390/s19235152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 11/13/2019] [Accepted: 11/23/2019] [Indexed: 12/25/2022]
Abstract
A surface-enhanced Raman scattering (SERS) tag is proposed for high-sensitivity detection of gibberellin A3 (GA3). Silver nanoparticles (AgNPs) were synthesized using citrate reduction. 4-Mercaptobenzoic acid (MBA) was used for the Raman-labeled molecules, which were coupled to the surface of the AgNPs using sulfydryls. MBA was coated with silica using the Stöber method to prevent leakage. GA3 antibodies were attached via the active functional groups N-Hydroxysuccinimide (NHS) and N-Ethyl-N'-(3-dimethylaminopropyl)carbodiimide hydrochloride (EDC) to construct a novel immuno-AgNPs@SiO2 SERS tags. The captured SERS substrates were fabricated through Fe3O4 nanoparticles and gold nanoparticles (AuNPs) using chemical methods. These nanoparticles were characterized using ultraviolet-visible spectroscopy (UV-Vis), dynamic light scattering, Raman spectroscopy, transmission electron microscope (TEM), and X-ray diffraction (XRD). This immuno-AgNPs@SiO2 SERS tags has a strong SERS signal based on characterizations via Raman spectroscopy. Based on antigen-antibody reaction, the immuno-Au@Fe3O4 nanoparticles can capture the GA3 and AgNPs@SiO2 SERS tags. Due to the increasing number of captured nanoprobes, the SERS signal from MBA was greatly enhanced, which favored the sensitive detection of GA3. The linear equation for the SERS signal was y = -13635x + 202211 (R2 = 0.9867), and the limit of detection (LOD) was 10-10 M. The proposed SERS tags are also applicable for the detection of other food risk factors.
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Affiliation(s)
- Qingmin Wei
- Guangxi Key Laboratory of Agricultural Resources Chemistry and Biotechnology, Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin 537000, China; (Q.W.); (J.L.); (F.L.); (N.L.)
| | - Jianjuan Lin
- Guangxi Key Laboratory of Agricultural Resources Chemistry and Biotechnology, Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin 537000, China; (Q.W.); (J.L.); (F.L.); (N.L.)
| | - Fa Liu
- Guangxi Key Laboratory of Agricultural Resources Chemistry and Biotechnology, Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin 537000, China; (Q.W.); (J.L.); (F.L.); (N.L.)
| | - Changchun Wen
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China;
| | - Na Li
- Guangxi Key Laboratory of Agricultural Resources Chemistry and Biotechnology, Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin 537000, China; (Q.W.); (J.L.); (F.L.); (N.L.)
| | - Guobao Huang
- Guangxi Key Laboratory of Agricultural Resources Chemistry and Biotechnology, Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin 537000, China; (Q.W.); (J.L.); (F.L.); (N.L.)
| | - Zhihui Luo
- Guangxi Key Laboratory of Agricultural Resources Chemistry and Biotechnology, Colleges and Universities Key Laboratory for Efficient Use of Agricultural Resources in the Southeast of Guangxi, College of Chemistry and Food Science, Yulin Normal University, Yulin 537000, China; (Q.W.); (J.L.); (F.L.); (N.L.)
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