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Wang M, Zheng L, Sun F, Ye Q, Liang P, Pang K, Ye Z, Wang Y. Revolutionizing Escherichia coli detection in real samples with digital SERS aptamer sensor technology. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2025; 339:126314. [PMID: 40311255 DOI: 10.1016/j.saa.2025.126314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2025] [Revised: 04/24/2025] [Accepted: 04/27/2025] [Indexed: 05/03/2025]
Abstract
Aptamer sensors based on surface-enhanced Raman scattering (SERS) technology have demonstrated great potential in the ultrasensitive and rapid detection of Escherichia coli (E. coli). Herein, this paper presents a digital SERS aptamer sensor. This sensor integrates ordered nanoscale array synthesis technology and digital analysis technology, enabling highly sensitive and rapid bacterial quantification. The ordered monolayer gold nanosphere arrays (Au NS) can form uniform and dense "hot spots" on the silicon wafer due to their uniform spherical structures and narrow gaps. Moreover, digital SERS is adopted to further optimize the signal uniformity so as to achieve precise quantification. The sensor modules are combined together through base pairing. The aptamers labeled with Raman tags are detached from the complementary DNA due to the competition of the target substance, thus realizing the detection of E. coli. The digital SERS aptamer sensor has been verified to possess excellent selectivity and reproducibility. It has a wide dynamic linear detection range from 1.0 * 101 to 1.0 * 109 CFU/ml and a detection limit of 0.657 CFU/ml, maintaining excellent specificity even in the presence of mixed bacterial interference. The spiked recoveries in actual samples range from 98.80 % to 99.81 %. Leveraging different aptamers and digital analysis, the sensor holds promise for food safety and environmental monitoring applications.
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Affiliation(s)
- Mengmeng Wang
- College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China
| | - Li Zheng
- College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China
| | - Fan Sun
- Key Laboratory of Microbiological Metrology, Measurement & Bio-product Quality Security, State Administration for Market Regulation, Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou 310018, China
| | - Qingdan Ye
- College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China
| | - Pei Liang
- College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China.
| | - Kun Pang
- Key Laboratory of Microbiological Metrology, Measurement & Bio-product Quality Security, State Administration for Market Regulation, Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou 310018, China
| | - Zihong Ye
- Key Laboratory of Microbiological Metrology, Measurement & Bio-product Quality Security, State Administration for Market Regulation, Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou 310018, China
| | - Yufeng Wang
- Key Laboratory of Microbiological Metrology, Measurement & Bio-product Quality Security, State Administration for Market Regulation, Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
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2
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Arora P, Bhagat S, Krishnendu MR, Singh S. Emerging trends of biomedical nanotechnology in nutrition, health monitoring and disease diagnosis. 3 Biotech 2025; 15:152. [PMID: 40336812 PMCID: PMC12052695 DOI: 10.1007/s13205-025-04291-9] [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: 05/20/2024] [Accepted: 03/22/2025] [Indexed: 05/09/2025] Open
Abstract
The transdisciplinary nature of nanotechnology has facilitated its application across various fields, especially in biological sciences. The primary aim of this review is to consolidate the many facets of nanomedicine, theranostics, and nanotechnology in food preservation into a unified framework and to underscore established research methodologies in the medical domain. Nanoparticles serve a crucial function in improving the bioavailability of orally delivered bioactive substances. This review demonstrated that nanoparticles can enhance the bioavailability of micronutrients, such as vitamin B12, vitamin A, folic acid, and iron. New advances in nanotechnology have made big differences in finding pathogens and killing them specifically, helping people to get better health through medication delivery and imaging, improving food packaging better so it lasts longer, and making foods healthier overall. Nanotechnology currently enhances the safety of delivering highly hazardous medicines through the use of nanozymes that exhibit antioxidant and antibacterial characteristics. Moreover, wearable devices can identify significant alterations in vital signs, medical problems, and infections occurring within the body. We anticipate that these technologies will provide physicians with enhanced direct access to crucial information about the causes of changes in vital signs or diseases, as they are directly connected to the source of the problem. This review paper thoroughly examines the latest developments in nanomaterials and nanozymes as antimicrobial agents in food science and nutrition, wound healing, illness diagnostics, imaging, and potential future uses. The paper presents a concise and structured report on nanotechnology, which will be beneficial to researchers and scientists for future research opportunities.
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Affiliation(s)
- Palak Arora
- Nanobiology and Nanozymology Research Lab, National Institute of Animal Biotechnology (NIAB), Opposite Journalist Colony, Near Gowlidoddy, Extended Q-City Road, Gachibowli, Hyderabad, Telangana 500032 India
- Regional Centre for Biotechnology (RCB), Faridabad, Haryana 121001 India
| | - Stuti Bhagat
- Nanobiology and Nanozymology Research Lab, National Institute of Animal Biotechnology (NIAB), Opposite Journalist Colony, Near Gowlidoddy, Extended Q-City Road, Gachibowli, Hyderabad, Telangana 500032 India
- Regional Centre for Biotechnology (RCB), Faridabad, Haryana 121001 India
| | - M. R. Krishnendu
- Nanobiology and Nanozymology Research Lab, National Institute of Animal Biotechnology (NIAB), Opposite Journalist Colony, Near Gowlidoddy, Extended Q-City Road, Gachibowli, Hyderabad, Telangana 500032 India
- Regional Centre for Biotechnology (RCB), Faridabad, Haryana 121001 India
| | - Sanjay Singh
- Nanobiology and Nanozymology Research Lab, National Institute of Animal Biotechnology (NIAB), Opposite Journalist Colony, Near Gowlidoddy, Extended Q-City Road, Gachibowli, Hyderabad, Telangana 500032 India
- Regional Centre for Biotechnology (RCB), Faridabad, Haryana 121001 India
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3
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Chen J, Wei Y, Wang L, Chen L, He S, Liu H. Digital SERS Nanostructured Platform for Amplification-free Single-Molecule DNA Detection and Pre-Symptomatic Diagnosis of Kiwifruit Soft Rot. Anal Chem 2025. [PMID: 40391652 DOI: 10.1021/acs.analchem.5c01686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2025]
Abstract
We present a digital surface-enhanced Raman spectroscopy (SERS) platform enabling enzyme- and amplification-free single-molecule DNA detection through Poisson distribution-driven quantification and geometrically optimized plasmonic nanostructures. Utilizing high-throughput UV lithography, we fabricated large-area nanopillar arrays (1.5 × 1.5 cm) with tunable heights (500-1300 nm) and periodicities (4-10 μm), addressing key limitations in conventional SERS methods via three innovations: (1) dynamic hotspot generation: Target DNA induces plasmonic dimerization between functionalized gold nanoprobes and Au-capped nanopillars, creating spatially resolved SERS enhancement (1326 cm-1 DTNB signal), (2) digital counting algorithms: Compensate Raman intensity variations by quantifying activated pillars as discrete molecular events, and (3) geometric confinement: Spatial confinement effects enabling statistically robust single-molecule occupancy. This platform achieved 10 fM sensitivity for Diaporthe spp. DNA detection, outperforming PCR-electrophoresis (1 pM) by 2 orders of magnitude. Applied to presymptomatic kiwifruit diagnosis, the system identified pathogen DNA in asymptomatic samples prior to visual symptom development, validated by characteristic DTNB peaks (1326 cm-1) absent in negative controls. The modular design permits multiplexed detection through probe diversification, while the absence of enzymatic steps enables field-deployable operation. By integrating single-molecule statistics with plasmonic signal amplification, this work establishes a robust framework for precision molecular diagnostics, demonstrating transformative potential for agricultural pathogen surveillance and low-abundance biomarker analysis. The technology's batch-producible nanopillar architecture and digital quantification strategy overcome longstanding reproducibility challenges in SERS-based detection, positioning it as a versatile tool for next-generation biosensing applications.
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Affiliation(s)
- Jinai Chen
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Yujiao Wei
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Liming Wang
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China
| | - Leyi Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Shengnan He
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China
| | - Honglin Liu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
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4
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Shim JE, Kim YJ, Hahm E, Choe JH, Baek A, Kim RM, You EA. Ultrasensitive SERS nanoprobe-based multiplexed digital sensing platform for the simultaneous quantification of Alzheimer's disease biomarkers. Biosens Bioelectron 2025; 274:117216. [PMID: 39899917 DOI: 10.1016/j.bios.2025.117216] [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: 11/20/2024] [Revised: 01/18/2025] [Accepted: 01/27/2025] [Indexed: 02/05/2025]
Abstract
Alzheimer's disease (AD) is a severe neurodegenerative disease that requires early diagnosis to manage its progression. Although the simultaneous detection of multiple AD biomarkers is expected to facilitate early assessment of AD risk, the lack of multiplexed sensing platforms for accurately quantifying multiple AD biomarkers remains a challenge. Here, we present a multiplexed digital sensing platform based on bumpy core-shell (BCS) surface-enhanced Raman spectroscopy (SERS) nanoprobes for ultrasensitive, quantitative, and simultaneous detection of Aβ42 and Aβ40 as AD biomarkers, enabling the accurate determination of the Aβ42/Aβ40 ratio. We synthesized BCS SERS nanoprobes with distinct Raman reporters to generate unique, intense, and reproducible SERS signals, offering single-nanoparticle sensitivity and quantification capabilities. These nanoprobes were subsequently employed in SERS-based immunoassays combined with digital SERS analysis for multiplexed quantification. The proposed platform accurately and quantitatively detected Aβ42 and Aβ40 across a range of five orders of magnitude, with a limit of detection of 8.7× 10-17 g/mL (1.9 × 10-17 M) for Aβ42 and 1.0 × 10-15 g/mL (2.3 × 10-16 M) for Aβ40, surpassing the performance of conventional enzyme-linked immunosorbent assays. Based on the exclusive detection of Aβ42 and Aβ40 using distinct SERS nanoprobes, the proposed sensing platform can also accurately quantify Aβ42 and Aβ40 at clinically relevant levels in both cerebrospinal fluid and blood plasma. Therefore, this sensing platform can be used to accurately and reliably determine the Aβ42/Aβ40 ratio, thus serving as an effective tool for the early diagnosis of AD.
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Affiliation(s)
- Jae-Eul Shim
- Medical Metrology Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
| | - Young Jun Kim
- Medical Metrology Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
| | - Eunil Hahm
- Medical Metrology Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
| | - Jong-Ho Choe
- Department of Physics, Korea University, Seoul, 02841, Republic of Korea
| | - Ahruem Baek
- Nanobio Measurement Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
| | - Ryeong Myeong Kim
- Medical Metrology Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea
| | - Eun-Ah You
- Medical Metrology Group, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
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5
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Stanley CV, Xiao Y, Ling T, Li DS, Chen P. Opto-digital molecular analytics. Chem Soc Rev 2025; 54:3557-3577. [PMID: 40035639 DOI: 10.1039/d5cs00023h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2025]
Abstract
In contrast to conventional ensemble-average-based methods, opto-digital molecular analytic approaches digitize detection by physically partitioning individual detection events into discrete compartments or directly locating and analyzing the signals from single molecules. The sensitivity can be enhanced by signal amplification reactions, signal enhancement interactions, labelling by strong signal emitters, advanced optics, image processing, and machine learning, while specificity can be improved by designing target-selective probes and profiling molecular dynamics. With the capabilities to attain a limit of detection several orders lower than the conventional methods, reveal intrinsic molecular information, and achieve multiplexed analysis using a small-volume sample, the emerging opto-digital molecular analytics may be revolutionarily instrumental to clinical diagnosis, molecular chemistry and science, drug discovery, and environment monitoring. In this article, we provide a comprehensive review of the recent advances, offer insights into the underlying mechanisms, give comparative discussions on different strategies, and discuss the current challenges and future possibilities.
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Affiliation(s)
- Chelsea Violita Stanley
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
- Lee Kong Chian School of Medicine, Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
| | - Yi Xiao
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
- Lee Kong Chian School of Medicine, Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
| | - Tong Ling
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
| | - Dong-Sheng Li
- College of Materials and Chemical Engineering, Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials, China Three Gorges University, Yichang, 443002, P. R. China
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore.
- Lee Kong Chian School of Medicine, Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
- Skin Research Institute of Singapore, 308232, Singapore
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6
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Lin LL, Alvarez-Puebla R, Liz-Marzán LM, Trau M, Wang J, Fabris L, Wang X, Liu G, Xu S, Han XX, Yang L, Shen A, Yang S, Xu Y, Li C, Huang J, Liu SC, Huang JA, Srivastava I, Li M, Tian L, Nguyen LBT, Bi X, Cialla-May D, Matousek P, Stone N, Carney RP, Ji W, Song W, Chen Z, Phang IY, Henriksen-Lacey M, Chen H, Wu Z, Guo H, Ma H, Ustinov G, Luo S, Mosca S, Gardner B, Long YT, Popp J, Ren B, Nie S, Zhao B, Ling XY, Ye J. Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges. ACS APPLIED MATERIALS & INTERFACES 2025; 17:16287-16379. [PMID: 39991932 DOI: 10.1021/acsami.4c17502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
The year 2024 marks the 50th anniversary of the discovery of surface-enhanced Raman spectroscopy (SERS). Over recent years, SERS has experienced rapid development and became a critical tool in biomedicine with its unparalleled sensitivity and molecular specificity. This review summarizes the advancements and challenges in SERS substrates, nanotags, instrumentation, and spectral analysis for biomedical applications. We highlight the key developments in colloidal and solid SERS substrates, with an emphasis on surface chemistry, hotspot design, and 3D hydrogel plasmonic architectures. Additionally, we introduce recent innovations in SERS nanotags, including those with interior gaps, orthogonal Raman reporters, and near-infrared-II-responsive properties, along with biomimetic coatings. Emerging technologies such as optical tweezers, plasmonic nanopores, and wearable sensors have expanded SERS capabilities for single-cell and single-molecule analysis. Advances in spectral analysis, including signal digitalization, denoising, and deep learning algorithms, have improved the quantification of complex biological data. Finally, this review discusses SERS biomedical applications in nucleic acid detection, protein characterization, metabolite analysis, single-cell monitoring, and in vivo deep Raman spectroscopy, emphasizing its potential for liquid biopsy, metabolic phenotyping, and extracellular vesicle diagnostics. The review concludes with a perspective on clinical translation of SERS, addressing commercialization potentials and the challenges in deep tissue in vivo sensing and imaging.
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Affiliation(s)
- Linley Li Lin
- Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Ramon Alvarez-Puebla
- Departamento de Química Física e Inorganica, Universitat Rovira i Virgili, Tarragona 43007, Spain
- ICREA-Institució Catalana de Recerca i Estudis Avançats, Barcelona 08010, Spain
| | - Luis M Liz-Marzán
- CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián 20014, Spain
- Ikerbasque, Basque Foundation for Science, University of Santiago de nCompostela, Bilbao 48013, Spain
- Centro de Investigación Cooperativa en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Donostia-San Sebastián 20014, Spain
- Cinbio, University of Vigo, Vigo 36310, Spain
| | - Matt Trau
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Jing Wang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350117, China
| | - Laura Fabris
- Department of Applied Science and Technology, Politecnico di Torino Corso Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Xiang Wang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Guokun Liu
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry and Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen 361005, China
| | - Shuping Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Xiao Xia Han
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Liangbao Yang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, P. R. China
- Department of Pharmacy, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, Anhui 230031, P. R. China
| | - Aiguo Shen
- School of Bioengineering and Health, Wuhan Textile University, Wuhan 430200, P. R. China
| | - Shikuan Yang
- School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. China
| | - Yikai Xu
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
| | - Chunchun Li
- School of Materials Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
| | - Jinqing Huang
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong 999077, China
| | - Shao-Chuang Liu
- Molecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
| | - Jian-An Huang
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland
- Research Unit of Disease Networks, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland
- Biocenter Oulu, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland
| | - Indrajit Srivastava
- Department of Mechanical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
- Texas Center for Comparative Cancer Research (TC3R), Amarillo, Texas 79106, United States
| | - Ming Li
- School of Materials Science and Engineering, Central South University, Changsha, Hunan 410083, China
| | - Limei Tian
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems Texas A&M University, College Station, Texas 77843, United States
| | - Lam Bang Thanh Nguyen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore 637371
| | - Xinyuan Bi
- Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Dana Cialla-May
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, Oxfordshire OX11 0QX, United Kingdom
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, United Kingdom
| | - Nicholas Stone
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, United Kingdom
| | - Randy P Carney
- Department of Biomedical Engineering, University of California, Davis, California 95616, United States
| | - Wei Ji
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
| | - Wei Song
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Zhou Chen
- Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - In Yee Phang
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, International Joint Research Laboratory for Nano Energy Composites, School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, P. R. China
| | - Malou Henriksen-Lacey
- CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián 20014, Spain
- Centro de Investigación Cooperativa en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Donostia-San Sebastián 20014, Spain
| | - Haoran Chen
- Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Zongyu Wu
- Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Heng Guo
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems Texas A&M University, College Station, Texas 77843, United States
| | - Hao Ma
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Gennadii Ustinov
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Siheng Luo
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, Oxfordshire OX11 0QX, United Kingdom
| | - Benjamin Gardner
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, United Kingdom
| | - Yi-Tao Long
- Molecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
| | - Juergen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Bin Ren
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Shuming Nie
- Department of Bioengineering, University of Illinois at Urbana-Champaign, 1406 W. Green Street, Urbana, Illinois 61801, United States
| | - Bing Zhao
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Xing Yi Ling
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore 637371
- Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, International Joint Research Laboratory for Nano Energy Composites, School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, P. R. China
| | - Jian Ye
- Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
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7
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Li Y, Ding Z, Wang H, Qu C, Li G, Liu H. Reversible Swell-Shrink Hydrogel Microspheres for High-Selectivity Digital SERS Analysis of Nonvolatile Fentanyl in Simulated Breath Aerosols. Anal Chem 2025; 97:3579-3588. [PMID: 39908397 DOI: 10.1021/acs.analchem.4c05999] [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: 02/07/2025]
Abstract
In clinical diagnostics, human breath presents an alternative and more convenient sample than biofluids for detecting the ingestion of nonvolatile drugs. Surface-enhanced Raman spectroscopy (SERS) is a powerful vibrational spectroscopy technique with high sensitivity based on molecular fingerprinting. However, the low affinity of traditional SERS substrates for aerosols and the stochastic fluctuation of the SERS signal at low concentrations limit their application in breath aerosol analysis. In this study, we synthesized hydrogel microsphere SERS substrates with highly reversible swelling/shrinking properties that enhance target analyte accumulation in breath aerosols and promote plasmonic nanoparticle aggregation for intense Raman hotspot formation. Furthermore, these hydrogel microsphere SERS substrates function as a three-in-one system, enabling multilevel selectivity based on size, charge, and hydrophilicity for target molecules simultaneously without pretreatment. Notably, by "digitizing" the SERS signal of each individual hydrogel microsphere and calculating the proportion of positive microspheres, the hydrogel microspheres can serve as a digital SERS platform that circumvents the low stability issues resulting from fluctuations in SERS signal intensity. Consequently, the digital SERS platform achieved a detection limit of 0.5 ppm for fentanyl in simulated breath aerosols. This innovative sensing strategy not only demonstrates a promising approach for screening nonvolatile drugs but also simplifies the sampling process, holding great potential for clinical diagnosis of breath aerosols.
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Affiliation(s)
- Yuzhu Li
- Anhui Provincial International Science and Technology Cooperation Base for Major Metabolic Diseases and Nutritional Interventions, China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China
| | - Zhongxiang Ding
- Anhui Provincial International Science and Technology Cooperation Base for Major Metabolic Diseases and Nutritional Interventions, China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China
| | - Hongyan Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Cheng Qu
- Anhui Provincial International Science and Technology Cooperation Base for Major Metabolic Diseases and Nutritional Interventions, China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China
| | - Guangping Li
- Anhui Provincial International Science and Technology Cooperation Base for Major Metabolic Diseases and Nutritional Interventions, China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China
| | - Honglin Liu
- Anhui Provincial International Science and Technology Cooperation Base for Major Metabolic Diseases and Nutritional Interventions, China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China
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8
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Li A, Mo X, Lu Y, Zhu G, Liu C, Yang X, Huang Y, Sheng J, Zhang H, Meng D, Zhao X. Digital SERS immunoassay of Interleukin-6 based on Au@Ag-Au nanotags. Biosens Bioelectron 2025; 270:116973. [PMID: 39581067 DOI: 10.1016/j.bios.2024.116973] [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: 09/07/2024] [Revised: 10/29/2024] [Accepted: 11/19/2024] [Indexed: 11/26/2024]
Abstract
Interleukin-6 (IL-6) is a crucial cytokine involved in inflammation and immune regulation. However, the detection of IL-6 with ultrasensitivity and high specificity remains a significant challenge due to the inherent complexity of biofluids. Herein, we present a digital surface enhanced Raman scattering (SERS) immunoassay using core-shell Au@Ag-Au nanotags for IL-6 detection with ultrasensitivity and high reliability. A low-cost silicon chip was functionalized as capture substrates, employing novel SERS nanotags that exhibit strong, robust and reproducible signals at single-nanoparticle resolution as the amplification element. We proposed two analytical methods to validate single-molecule events follow a Poisson distribution and to quantify protein biomarkers over a broad linear dynamic range, respectively. The strong alignment between theoretical and experimental results enhances the method's reliability. Our assay provides two readouts: colorimetric analysis by naked eyes for high concentrations (>1 ng/mL) and digital SERS analysis for low concentrations. Following method optimization, we obtained a linear range from 100 fg/mL to 1 ng/mL (R2 = 0.994) with a limit of detection (LOD) of 12.4 fg/mL, suitable for clinical applications. The method was tested for IL-6 quantification in healthy human serum and saliva, with recoveries from 92.4% to 105.3%. Finally, the immunoassay demonstrated strong consistency with the standard clinical laboratory method when tested with clinical serum samples. Thus, our proposed the digital SERS immunoassay is a promising tool for the precision clinical diagnosis of IL-6-related diseases or other conditions.
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Affiliation(s)
- Ao Li
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Xiufang Mo
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Yu Lu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Geng Zhu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Chang Liu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Xi Yang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Yan Huang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China
| | - Jinliang Sheng
- State International Joint Research Center for Animal Health Breeding, College of Animal Science and Technology, Shihezi University, Shihezi, 832003, China
| | - Hui Zhang
- State International Joint Research Center for Animal Health Breeding, College of Animal Science and Technology, Shihezi University, Shihezi, 832003, China
| | - Dianhuai Meng
- Rehabilitation Medical Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Xiangwei Zhao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China; Southeast University Shenzhen Research Institute, Shenzhen, 518000, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, 215163, China.
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9
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Chen L, Zeng X, Yang F, Yang T, Chen Y, Zhao Y, Luo X, Li Y. Rapid and Sensitive Detection of Mutations in SARS-CoV-2 by Surface-Enhanced Raman Spectroscopy. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2025; 41:3583-3591. [PMID: 39884846 DOI: 10.1021/acs.langmuir.4c04725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2025]
Abstract
Since the outbreak of the novel coronavirus (SARS-CoV-2), the world has suffered significant losses. At present, the pneumonia disease caused by SARS-CoV-2 virus has not been eliminated, and SARS-CoV-2 has a high mutation rate, and its variant strains also have a high prevalence rate, which has always threatened the health of all mankind. This study aims to develop a rapid and sensitive method to complement existing SARS-CoV-2 diagnostic tools by utilizing surface-enhanced Raman spectroscopy (SERS) for the direct detection of the intrinsic SERS signal from the S proteins of SARS-CoV-2 and its variants (Omicron and Delta) within 5 min using a portable Raman spectrometer. The linear range of S protein detection of Wild-type, Omicron and Delta variants ranged from 1.0 × 10-7 to 1.0 × 10-3 g·mL-1, the limits of detection (LOD) were down to ∼10-8 g·mL-1 level. Our proposed method uses portable Raman spectrometer for direct detection, which is characterized by its simplicity, rapidity, portability, and wide applicability. It enables simultaneous detection of diverse mutated targets, thereby playing a pivotal role in the early diagnosis of viral diseases. Moreover, it holds promising prospects in the fields of chemistry, biology, and medicine.
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Affiliation(s)
- Liping Chen
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Xuanjiang Zeng
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Fan Yang
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Tao Yang
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Yushi Chen
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Yan Zhao
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Xiaojun Luo
- School of Science, Xihua University, Chengdu 610039, PR China
| | - Yuanyuan Li
- Shanghai Institute of Doping Analyses, Shanghai University of Sport, Shanghai 200438, PR China
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10
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Ly NH, Choo J, Gnanasekaran L, Aminabhavi TM, Vasseghian Y, Joo SW. Recent Plasmonic Gold- and Silver-Assisted Raman Spectra for Advanced SARS-CoV-2 Detection. ACS APPLIED BIO MATERIALS 2025; 8:88-107. [PMID: 39665205 DOI: 10.1021/acsabm.4c01457] [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] [Indexed: 12/13/2024]
Abstract
COVID-19 has become one of the deadliest epidemics in the past years. In efforts to combat the deadly disease besides vaccines, drug therapies, and facemasks, significant focus has been on designing specific methods for the sensitive and accurate detection of SARS-CoV-2. Of these, surface-enhanced Raman scattering (SERS) is an attractive analytical tool for the identification of SARS-CoV-2. SERS is the phenomenon of enhancement of Raman intensity signals from molecular analytes anchored onto the surfaces of roughened plasmonic nanomaterials. This work gives an updated summary of plasmonic gold nanomaterials (AuNMs) and silver nanomaterials (AgNMs)-based SERS technologies to identify SARS-CoV-2. Due to extreme "hot spots" promoting higher electromagnetic fields on their surfaces, different shapes of AuNMs and AgNMs combined with Raman probes have been reviewed for enhancing Raman signals of probe molecules for quantifying the virus. It also reviews progress made recently in the design of certain specific Raman probe molecules capable of imparting characteristic SERS response/tags for SARS-CoV-2 detection.
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Affiliation(s)
- Nguyễn Hoàng Ly
- Department of Chemistry, Gachon University, Seongnam 13120, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | | | - Tejraj Malleshappa Aminabhavi
- Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Hubballi, Karnataka 580031, India
- Korea University, Seoul 02841, South Korea
| | - Yasser Vasseghian
- Department of Chemistry, Soongsil University, Seoul 06978, South Korea
- Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam 603103, Tamil Nadu, India
| | - Sang-Woo Joo
- Department of Chemistry, Soongsil University, Seoul 06978, South Korea
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11
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Kant K, Beeram R, Cao Y, Dos Santos PSS, González-Cabaleiro L, García-Lojo D, Guo H, Joung Y, Kothadiya S, Lafuente M, Leong YX, Liu Y, Liu Y, Moram SSB, Mahasivam S, Maniappan S, Quesada-González D, Raj D, Weerathunge P, Xia X, Yu Q, Abalde-Cela S, Alvarez-Puebla RA, Bardhan R, Bansal V, Choo J, Coelho LCC, de Almeida JMMM, Gómez-Graña S, Grzelczak M, Herves P, Kumar J, Lohmueller T, Merkoçi A, Montaño-Priede JL, Ling XY, Mallada R, Pérez-Juste J, Pina MP, Singamaneni S, Soma VR, Sun M, Tian L, Wang J, Polavarapu L, Santos IP. Plasmonic nanoparticle sensors: current progress, challenges, and future prospects. NANOSCALE HORIZONS 2024; 9:2085-2166. [PMID: 39240539 PMCID: PMC11378978 DOI: 10.1039/d4nh00226a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 08/19/2024] [Indexed: 09/07/2024]
Abstract
Plasmonic nanoparticles (NPs) have played a significant role in the evolution of modern nanoscience and nanotechnology in terms of colloidal synthesis, general understanding of nanocrystal growth mechanisms, and their impact in a wide range of applications. They exhibit strong visible colors due to localized surface plasmon resonance (LSPR) that depends on their size, shape, composition, and the surrounding dielectric environment. Under resonant excitation, the LSPR of plasmonic NPs leads to a strong field enhancement near their surfaces and thus enhances various light-matter interactions. These unique optical properties of plasmonic NPs have been used to design chemical and biological sensors. Over the last few decades, colloidal plasmonic NPs have been greatly exploited in sensing applications through LSPR shifts (colorimetry), surface-enhanced Raman scattering, surface-enhanced fluorescence, and chiroptical activity. Although colloidal plasmonic NPs have emerged at the forefront of nanobiosensors, there are still several important challenges to be addressed for the realization of plasmonic NP-based sensor kits for routine use in daily life. In this comprehensive review, researchers of different disciplines (colloidal and analytical chemistry, biology, physics, and medicine) have joined together to summarize the past, present, and future of plasmonic NP-based sensors in terms of different sensing platforms, understanding of the sensing mechanisms, different chemical and biological analytes, and the expected future technologies. This review is expected to guide the researchers currently working in this field and inspire future generations of scientists to join this compelling research field and its branches.
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Affiliation(s)
- Krishna Kant
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
- Department of Biotechnology, School of Engineering and Applied Sciences, Bennett University, Greater Noida, UP, India
| | - Reshma Beeram
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Yi Cao
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Paulo S S Dos Santos
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
| | | | - Daniel García-Lojo
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Heng Guo
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA
| | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Siddhant Kothadiya
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Marta Lafuente
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - Yong Xiang Leong
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Yiyi Liu
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Yuxiong Liu
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Sree Satya Bharati Moram
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Sanje Mahasivam
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Sonia Maniappan
- Department of Chemistry, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517 507, India
| | - Daniel Quesada-González
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
| | - Divakar Raj
- Department of Allied Sciences, School of Health Sciences and Technology, UPES, Dehradun, 248007, India
| | - Pabudi Weerathunge
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Xinyue Xia
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
| | - Qian Yu
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Sara Abalde-Cela
- International Iberian Nanotechnology Laboratory (INL), 4715-330 Braga, Portugal
| | - Ramon A Alvarez-Puebla
- Department of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, Tarragona, Spain
- ICREA-Institució Catalana de Recerca i Estudis Avançats, 08010, Barcelona, Spain
| | - Rizia Bardhan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Vipul Bansal
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Luis C C Coelho
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
- FCUP, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - José M M M de Almeida
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
- Department of Physics, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
| | - Sergio Gómez-Graña
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Marek Grzelczak
- Centro de Física de Materiales (CSIC-UPV/EHU) and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia San-Sebastián, Spain
| | - Pablo Herves
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Jatish Kumar
- Department of Chemistry, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517 507, India
| | - Theobald Lohmueller
- Chair for Photonics and Optoelectronics, Nano-Institute Munich, Department of Physics, Ludwig-Maximilians-Universität (LMU), Königinstraße 10, 80539 Munich, Germany
| | - Arben Merkoçi
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, Barcelona, 08010, Spain
| | - José Luis Montaño-Priede
- Centro de Física de Materiales (CSIC-UPV/EHU) and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia San-Sebastián, Spain
| | - Xing Yi Ling
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Reyes Mallada
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Jorge Pérez-Juste
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - María P Pina
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Srikanth Singamaneni
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Venugopal Rao Soma
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
- School of Physics, University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Mengtao Sun
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Limei Tian
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA
| | - Jianfang Wang
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
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12
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Liu X, Deng W, Yang Y, Xi J, Li S, Zhang L, Li P, Wu W. Superhydrophobic nanocellulose-based self-assembled flexible SERS substrates for pesticide detection. Int J Biol Macromol 2024; 282:137171. [PMID: 39489266 DOI: 10.1016/j.ijbiomac.2024.137171] [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: 04/27/2024] [Revised: 10/22/2024] [Accepted: 10/30/2024] [Indexed: 11/05/2024]
Abstract
Flexible surface-enhanced Raman scattering (SERS) substrates that provide simple sampling are helpful for the on-site detection of explosive contamination, pesticide residues on food surfaces, and water pollution in public spaces. Using superhydrophobic nanocellulose-based film as the support, 2D flexible SERS substrates that integrated sampling, enrichment, and detection were successfully fabricated via the solvent-induced evaporation method. This approach enabled the co-loading of two plasmonic nanoparticles with different sizes and shapes. A uniform and dense distribution of two-dimensional "hot spots" was created by the plasmonic nanoparticles' self-assembly on the hydrophobic substrate. By adjusting the loading ratio of Au-core/Ag-shell nanocubes and gold nanospheres, their synergistic effect optimized the "hot spots" structure and significantly increased the SERS signal intensity. Additionally, the hydrophobic property of the substrate allowed the target analytes to be concentrated throughout the drying process, significantly increasing the sensitivity of SERS detection. This flexible substrate can sensitively and accurately detect the pesticide residues of phosphorus and methyl parathion on apple peel with the detection limit of 10-7 g/L and relative standard deviation (RSD) less than 10 %. The high-performance SERS substrate has great potential for in-situ detection applications such as food safety and environmental monitoring.
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Affiliation(s)
- Xingyue Liu
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Wen Deng
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Yuzhou Yang
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Jianfeng Xi
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Sijie Li
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Lei Zhang
- Key Laboratory for Organic Electronics and Information, National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing 210023, China.
| | - Peng Li
- School of Electronic and Information Engineering, Soochow University, Suzhou 215000, Jiangsu, China
| | - Weibing Wu
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing 210037, China.
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13
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Chen L, Liu H, Gao J, Wang J, Jin Z, Lv M, Yan S. Development and Biomedical Application of Non-Noble Metal Nanomaterials in SERS. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:1654. [PMID: 39452990 PMCID: PMC11510763 DOI: 10.3390/nano14201654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 10/12/2024] [Accepted: 10/13/2024] [Indexed: 10/26/2024]
Abstract
Surface-enhanced Raman scattering (SERS) is vital in many fields because of its high sensitivity, fast response, and fingerprint effect. The surface-enhanced Raman mechanisms are generally electromagnetic enhancement (EM), which is mainly based on noble metals (Au, Ag, etc.), and chemical enhancement (CM). With more and more studies on CM mechanism in recent years, non-noble metal nanomaterial SERS substrates gradually became widely researched and applied due to their superior economy, stability, selectivity, and biocompatibility compared to noble metal. In addition, non-noble metal substrates also provide an ideal new platform for SERS technology to probe the mechanism of biomolecules. In this paper, we review the applications of non-noble metal nanomaterials in SERS detection for biomedical engineering in recent years. Firstly, we introduce the development of some more common non-noble metal SERS substrates and discuss their properties and enhancement mechanisms. Subsequently, we focus on the progress of the application of SERS detection of non-noble metal nanomaterials, such as analysis of biomarkers and the detection of some contaminants. Finally, we look forward to the future research process of non-noble metal substrate nanomaterials for biomedicine, which may draw more attention to the biosensor applications of non-noble metal nanomaterial-based SERS substrates.
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Affiliation(s)
- Liping Chen
- School of Chemistry and Life Sciences, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
| | - Hao Liu
- School of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (H.L.); (Z.J.)
| | - Jiacheng Gao
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
| | - Jiaxuan Wang
- School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
| | - Zhihan Jin
- School of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (H.L.); (Z.J.)
| | - Ming Lv
- Department of Medical Engineering, Medical Supplies Center of PLA General Hospital, Beijing 100039, China;
| | - Shancheng Yan
- School of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; (H.L.); (Z.J.)
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14
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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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15
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Shoup DN, Fan S, Zapata-Herrera M, Schorr HC, Aizpurua J, Schultz ZD. Comparison of Gap-Enhanced Raman Tags and Nanoparticle Aggregates with Polarization Dependent Super-Resolution Spectral SERS Imaging. Anal Chem 2024; 96:11422-11429. [PMID: 38958534 DOI: 10.1021/acs.analchem.4c01564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Strongly confined electric fields resulting from nanogaps within nanoparticle aggregates give rise to significant enhancement of surface-enhanced Raman scattering (SERS). Nanometer differences in gap sizes lead to drastically different confined field strengths; so much attention has been focused on the development and understanding of nanostructures with controlled gap sizes. In this work, we report a novel petal gap-enhanced Raman tag (GERT) consisting of a bipyramid core and a nitrothiophenol (NTP) spacer to support the growth of hundreds of small petals and compare its SERS emission and localization to a traditional bipyramid aggregate. To do this, we use super resolution spectral SERS imaging that simultaneously captures the SERS images and spectra while varying the incident laser polarization. Intensity fluctuations inherent of SERS enabled super resolution algorithms to be applied, which revealed subdiffraction limited differences in the localization with respect to polarization direction for both particles. Interestingly, however, only the traditional bipyramid aggregates experienced a strong polarization dependence in their SERS intensity and in the plasmon-induced conversion of NTP to dimercaptoazobenzene (DMAB), which was localized with nanometer precision to regions of intense electromagnetic fields. The lack of polarization dependence (validated through electromagnetic simulations) and surface reactions from the bipyramid-GERTs suggests that the emissions arising from the bipyramid-GERTs are less influenced by confined fields.
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Affiliation(s)
- Deben N Shoup
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Sanjun Fan
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Mario Zapata-Herrera
- Center for Materials Physics in San Sebastián (CSIC-UPV/EHU), Donostia-San Sebastián 20018, Spain
- Donostia International Physics Center, Donostia-San Sebastián 20018, Spain
| | - Hannah C Schorr
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Javier Aizpurua
- Donostia International Physics Center, Donostia-San Sebastián 20018, Spain
- Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain
- Department of Electricity and Electronics, University of the Basque Country UPV/EHU, ESP, 48940 Leioa, Spain
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
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16
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Wang W, Srivastava S, Garg A, Xiao C, Hawks S, Pan J, Duggal N, Isaacman-VanWertz G, Zhou W, Marr LC, Vikesland PJ. Digital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dust. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4926-4936. [PMID: 38452107 PMCID: PMC10956432 DOI: 10.1021/acs.est.3c10311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/15/2024] [Accepted: 02/20/2024] [Indexed: 03/09/2024]
Abstract
This study introduces a novel surface-enhanced Raman spectroscopy (SERS)-based lateral flow test (LFT) dipstick that integrates digital analysis for highly sensitive and rapid viral quantification. The SERS-LFT dipsticks, incorporating gold-silver core-shell nanoparticle probes, enable pixel-based digital analysis of large-area SERS scans. Such an approach enables ultralow-level detection of viruses that readily distinguishes positive signals from background noise at the pixel level. The developed digital SERS-LFTs demonstrate limits of detection (LODs) of 180 fg for SARS-CoV-2 spike protein, 120 fg for nucleocapsid protein, and 7 plaque forming units for intact virus, all within <30 min. Importantly, digital SERS-LFT methods maintain their robustness and their LODs in the presence of indoor dust, thus underscoring their potential for accurate and reliable virus diagnosis and quantification in real-world environmental settings.
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Affiliation(s)
- Wei Wang
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS)
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Sonali Srivastava
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS)
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Aditya Garg
- Department
of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Chuan Xiao
- Department
of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Seth Hawks
- Department
of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Jin Pan
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Nisha Duggal
- Department
of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Gabriel Isaacman-VanWertz
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Wei Zhou
- Department
of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Linsey C. Marr
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS)
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Peter J. Vikesland
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS)
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
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17
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Cho HS, Noh MS, Kim YH, Namgung J, Yoo K, Shin MS, Yang CH, Kim YJ, Yu SJ, Chang H, Rho WY, Jun BH. Recent Studies on Metal-Embedded Silica Nanoparticles for Biological Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:268. [PMID: 38334538 PMCID: PMC10856399 DOI: 10.3390/nano14030268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 02/10/2024]
Abstract
Recently, silica nanoparticles (NPs) have attracted considerable attention as biocompatible and stable templates for embedding noble metals. Noble-metal-embedded silica NPs utilize the exceptional optical properties of novel metals while overcoming the limitations of individual novel metal NPs. In addition, the structure of metal-embedded silica NPs decorated with small metal NPs around the silica core results in strong signal enhancement in localized surface plasmon resonance and surface-enhanced Raman scattering. This review summarizes recent studies on metal-embedded silica NPs, focusing on their unique designs and applications. The characteristics of the metal-embedded silica NPs depend on the type and structure of the embedded metals. Based on this progress, metal-embedded silica NPs are currently utilized in various spectroscopic applications, serving as nanozymes, detection and imaging probes, drug carriers, photothermal inducers, and bioactivation molecule screening identifiers. Owing to their versatile roles, metal-embedded silica NPs are expected to be applied in various fields, such as biology and medicine, in the future.
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Affiliation(s)
- Hye-Seong Cho
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Mi Suk Noh
- Bio & Medical Research Center, Bio Business Division, Korea Testing Certification, Gunpo 15809, Gyeonggi-do, Republic of Korea;
| | - Yoon-Hee Kim
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Jayoung Namgung
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Kwanghee Yoo
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Min-Sup Shin
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Cho-Hee Yang
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Young Jun Kim
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
| | - Seung-Ju Yu
- Graduate School of Integrated Energy-AI, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea;
| | - Hyejin Chang
- Division of Science Education, Kangwon National University, Chuncheon 24341, Republic of Korea;
| | - Won Yeop Rho
- Graduate School of Integrated Energy-AI, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeollabuk-do, Republic of Korea;
| | - Bong-Hyun Jun
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea; (H.-S.C.); (Y.-H.K.); (J.N.); (K.Y.); (M.-S.S.); (C.-H.Y.); (Y.J.K.)
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18
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Scarpitti BT, Fan S, Lomax-Vogt M, Lutton A, Olesik JW, Schultz ZD. Accurate Quantification and Imaging of Cellular Uptake Using Single-Particle Surface-Enhanced Raman Scattering. ACS Sens 2024; 9:73-80. [PMID: 38100727 PMCID: PMC10958331 DOI: 10.1021/acssensors.3c01648] [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] [Indexed: 12/17/2023]
Abstract
Understanding the uptake, distribution, and stability of gold nanoparticles (NPs) in cells is of fundamental importance in nanoparticle sensors and therapeutic development. Single nanoparticle imaging with surface-enhanced Raman spectroscopy (SERS) measurements in cells is complicated by aggregation-dependent SERS signals, particle inhomogeneity, and limited single-particle brightness. In this work, we assess the single-particle SERS signals of various gold nanoparticle shapes and the role of silica encapsulation on SERS signals to develop a quantitative probe for single-particle level Raman imaging in living cells. We observe that silica-encapsulated gap-enhanced Raman tags (GERTs) provide an optimized probe that can be quantifiable per voxel in SERS maps of cells. This approach is validated by single-particle inductively coupled mass spectrometry (spICP-MS) measurements of NPs in cell lysate post-imaging. spICP-MS also provides a means of measuring the tag stability. This analytical approach can be used not only to quantitatively assess nanoparticle uptake on the cellular level (as in previous digital SERS methods) but also to reliably image the subcellular distribution and to assess the stability of NPs in cells.
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Affiliation(s)
- Brian T. Scarpitti
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA
| | - Sanjun Fan
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA
| | - Madeleine Lomax-Vogt
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA
| | - Anthony Lutton
- School of Earth Sciences, The Ohio State University, Columbus, Ohio, 43210, USA
| | - John W. Olesik
- School of Earth Sciences, The Ohio State University, Columbus, Ohio, 43210, USA
| | - Zachary D. Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, 43210, USA
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19
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Kim YJ, Min J. Advances in nanobiosensors during the COVID-19 pandemic and future perspectives for the post-COVID era. NANO CONVERGENCE 2024; 11:3. [PMID: 38206526 PMCID: PMC10784265 DOI: 10.1186/s40580-023-00410-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024]
Abstract
The unprecedented threat of the highly contagious virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes exponentially increased infections of coronavirus disease 2019 (COVID-19), highlights the weak spots of the current diagnostic toolbox. In the midst of catastrophe, nanobiosensors offer a new opportunity as an alternative tool to fill a gap among molecular tests, rapid antigen tests, and serological tests. Nanobiosensors surpass the potential of antigen tests because of their enhanced sensitivity, thus enabling us to see antigens as stable and easy-to-access targets. During the first three years of the COVID-19 pandemic, a substantial number of studies have reported nanobiosensors for the detection of SARS-CoV-2 antigens. The number of articles on nanobiosensors and SARS-CoV-2 exceeds the amount of nanobiosensor research on detecting previous infectious diseases, from influenza to SARS-CoV and MERS-CoV. This unprecedented publishing pace also implies the significance of SARS-CoV-2 and the present pandemic. In this review, 158 studies reporting nanobiosensors for detecting SARS-CoV-2 antigens are collected to discuss the current challenges of nanobiosensors using the criteria of point-of-care (POC) diagnostics along with COVID-specific issues. These advances and lessons during the pandemic pave the way for preparing for the post-COVID era and potential upcoming infectious diseases.
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Affiliation(s)
- Young Jun Kim
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea.
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20
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Li D, Sun C, Zhuang P, Mei X. Revolutionizing SARS-CoV-2 omicron variant detection: Towards faster and more reliable methods. Talanta 2024; 266:124937. [PMID: 37481886 DOI: 10.1016/j.talanta.2023.124937] [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: 03/08/2023] [Revised: 07/03/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
The emergence of the highly contagious Omicron variant of SARS-CoV-2 has inflicted significant damage during the ongoing COVID-19 pandemic. This new variant's significant sequence changes and mutations in both proteins and RNA have rendered many existing rapid detection methods ineffective in identifying it accurately. As the world races to control the spread of the virus, researchers are urgently exploring new diagnostic strategies to specifically detect Omicron variants with high accuracy and sensitivity. In response to this challenge, we have compiled a comprehensive overview of the latest reported rapid detection techniques. These techniques include strategies for the simultaneous detection of multiple SARS-CoV-2 variants and methods for selectively distinguishing Omicron variants. By categorizing these diagnostic techniques based on their targets, which encompass protein antigens and nucleic acids, we aim to offer a comprehensive understanding of the utilization of various recognition elements in identifying these targets. We also highlight the advantages and limitations of each approach. Our work is crucial in providing a more nuanced understanding of the challenges and opportunities in detecting Omicron variants and emerging variants.
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Affiliation(s)
- Dan Li
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China.
| | - Cai Sun
- AECC Shenyang Liming Aero-Engine Co., Ltd., Shenyang, China
| | - Pengfei Zhuang
- College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China
| | - Xifan Mei
- Key Laboratory of Medical Tissue Engineering of Liaoning Province, Jinzhou Medical University, Jinzhou, Liaoning, China.
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21
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Dong T, Wang M, Liu J, Ma P, Pang S, Liu W, Liu A. Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives. Chem Sci 2023; 14:6149-6206. [PMID: 37325147 PMCID: PMC10266450 DOI: 10.1039/d2sc06665c] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/03/2023] [Indexed: 06/17/2023] Open
Abstract
The disastrous spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has induced severe public healthcare issues and weakened the global economy significantly. Although SARS-CoV-2 infection is not as fatal as the initial outbreak, many infected victims suffer from long COVID. Therefore, rapid and large-scale testing is critical in managing patients and alleviating its transmission. Herein, we review the recent advances in techniques to detect SARS-CoV-2. The sensing principles are detailed together with their application domains and analytical performances. In addition, the advantages and limits of each method are discussed and analyzed. Besides molecular diagnostics and antigen and antibody tests, we also review neutralizing antibodies and emerging SARS-CoV-2 variants. Further, the characteristics of the mutational locations in the different variants with epidemiological features are summarized. Finally, the challenges and possible strategies are prospected to develop new assays to meet different diagnostic needs. Thus, this comprehensive and systematic review of SARS-CoV-2 detection technologies may provide insightful guidance and direction for developing tools for the diagnosis and analysis of SARS-CoV-2 to support public healthcare and effective long-term pandemic management and control.
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Affiliation(s)
- Tao Dong
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
- School of Pharmacy, Medical College, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Mingyang Wang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Junchong Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Pengxin Ma
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Shuang Pang
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
| | - Wanjian Liu
- Qingdao Hightop Biotech Co., Ltd 369 Hedong Road, Hi-tech Industrial Development Zone Qingdao 266112 China
| | - Aihua Liu
- Institute for Chemical Biology & Biosensing, College of Life Sciences, Qingdao University 308 Ningxia Road Qingdao 266071 China
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