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Park EY, Maehata S, Khoris IM, Achadu OJ. Signal-amplified surface-enhanced Raman scattering using core/shell satellite nanoparticles for norovirus detection. Mikrochim Acta 2024; 191:560. [PMID: 39180589 DOI: 10.1007/s00604-024-06600-0] [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: 06/07/2024] [Accepted: 07/31/2024] [Indexed: 08/26/2024]
Abstract
The development of an innovative approach is explored to amplify the signal of a surface-enhanced Raman scattering (SERS)-based detection system using a novel nanotag: Au@Ag NPs covered by satellite AuNPs and conjugated by 4-mercaptbenzoic acid (4-MBA) as a Raman tag (Au@Ag-MBA-AuNPs). The Au@Ag-MBA-AuNPs nanotags showed strong SERS activities with an enhancement factor in the 108 order of magnitude. This indicates the formation of many hot spots due to the combination of core-shell nanoparticles and satellite AuNPs on the surface of Au@Ag-MBA NPs. The newly fabricated nanotags were employed in a small-sized Palmtop Raman spectrometer. A concentration-dependent increase in SERS intensity was observed in the norovirus-like particle (NoV-LP) concentration range 10 fg/mL to 100 pg/mL with a detection limit of 0.76 fg/mL. Even in the severe interfering matrices, this detection method's coefficient of variation was less than 10%. This detection system was approximately 107 times more sensitive than commercially available ELISA kits. Norovirus in clinical samples was detected over a wide concentration range of 1.0 × 101 - 1.0 × 106 RNA copy number/mL with a detection limit of 7.8 RNA copy number/mL, indicating sensitivity comparable to real-time PCR. These results suggest that this detection system is stable in a complex matrix and has the potential for detecting norovirus in clinical samples with a small Palmtop Raman spectrometer.
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Affiliation(s)
- Enoch Y Park
- Research Institute of Green Science and Technology, Shizuoka University, 836 Ohya Suruga-Ku, Shizuoka, 422-8529, Japan.
- Graduate School of Integrated Science and Technology, Shizuoka University, 836 Ohya Suruga-Ku, Shizuoka, 422-8529, Japan.
- Faculty of Agriculture, Shizuoka University, 836 Ohya Suruga-Ku, Shizuoka, 422-8529, Japan.
| | - Syuei Maehata
- Graduate School of Integrated Science and Technology, Shizuoka University, 836 Ohya Suruga-Ku, Shizuoka, 422-8529, Japan
| | - Indra Memdi Khoris
- Research Institute of Green Science and Technology, Shizuoka University, 836 Ohya Suruga-Ku, Shizuoka, 422-8529, Japan
- National Institute Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8565, Japan
| | - Ojodomo J Achadu
- School of Health and Life Sciences, & National Horizon Centre, Teesside University, Middlesbrough, TS1 3BA, UK
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Moon Y, Lee S, Kim J, Park G, Park C, Lim JW, Yeom M, Song D, Haam S. Label-Free and Colorimetric Detection of Influenza A Virus via Receptor-Mediated Viral Fusion with Plasmonic Vesicles. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2305748. [PMID: 37712175 DOI: 10.1002/smll.202305748] [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: 07/09/2023] [Revised: 09/02/2023] [Indexed: 09/16/2023]
Abstract
The rapid transmission and numerous re-emerging human influenza virus variants that spread via the respiratory system have led to severe global damage, emphasizing the need for detection tools that can recognize active and intact virions with infectivity. Here, this work presents a plasmonic vesicle-mediated fusogenic immunoassay (PVFIA) comprising gold nanoparticle (GNP) encapsulating fusogenic polymeric vesicles (plasmonic vesicles; PVs) for the label-free and colorimetric detection of influenza A virus (IAV). The PVFIA combines two sequential assays: a biochip-based immunoassay for target-specific capture and a PV-induced fusion assay for color change upon the IAV-PV fusion complex formation. The PVFIA demonstrates excellent specificity in capturing the target IAV, while the fusion conditions and GNP induce a significant color change, enabling visual detection. The integration of two consecutive assays results in a low detection limit (100.7919 EID50 mL-1 ) and good reliability (0.9901), indicating sensitivity that is 104.208 times higher than conventional immunoassay. Leveraging the PV viral membrane fusion activity renders the PVFIA promising for point-of-care diagnostics through colorimetric detection. The innovative approach addresses the critical need for detecting active and intact virions with infectivity, providing a valuable tool with which to combat the spread of the virus.
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Affiliation(s)
- Yesol Moon
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Sojeong Lee
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jinyoung Kim
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Geunseon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Chaewon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jong-Woo Lim
- Department of Veterinary Medicine Virology Laboratory, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
| | - Minjoo Yeom
- Department of Veterinary Medicine Virology Laboratory, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
| | - Daesub Song
- Department of Veterinary Medicine Virology Laboratory, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
| | - Seungjoo Haam
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
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Li H, Lu Y, Zhang L, Qin L, Wen H, Fan X, Peng D. Highly Sensitive Magnetic-Nanoparticle-Based Immunochromatography Assay for Rapid Detection of Amantadine in Chicken and Eggs. BIOSENSORS 2023; 14:23. [PMID: 38248400 PMCID: PMC10813809 DOI: 10.3390/bios14010023] [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: 11/30/2023] [Revised: 12/22/2023] [Accepted: 12/28/2023] [Indexed: 01/23/2024]
Abstract
Amantadine (AMD) is an antiviral drug that is prohibited for use in livestock and poultry. In this study, carboxyl-modified magnetic nanoparticles (MNPs) were synthesized using the solvothermal method in one step with harmless and inexpensive regents, and they were used to label monoclonal antibodies (mAbs) of AMD in microwells with electrostatic adsorption. Then, a magnetic immunochromatography assay (MICA) method was successfully established. Under optimal conditions, the MICA showed a good performance, with a linear range of 0.2~10.0 µg/L. The limit of detection (LOD) was 0.068 µg/L with the instrument, and the visual LOD (vLOD) was 0.5 µg/L. There was no cross-reaction with rimantadine and ribavirin. The vLOD in real samples was 1.0 µg/kg. The developed MICA has the advantages of convenience, speed, and sensitivity, which make it suitable for the on-site rapid detection of AMD residues in chicken tissues and eggs.
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Affiliation(s)
- Huaming Li
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430070, China; (H.L.); (Y.L.); (L.Z.); (L.Q.); (H.W.)
| | - Yanrong Lu
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430070, China; (H.L.); (Y.L.); (L.Z.); (L.Q.); (H.W.)
| | - Linwei Zhang
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430070, China; (H.L.); (Y.L.); (L.Z.); (L.Q.); (H.W.)
| | - Liangni Qin
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430070, China; (H.L.); (Y.L.); (L.Z.); (L.Q.); (H.W.)
| | - Hao Wen
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430070, China; (H.L.); (Y.L.); (L.Z.); (L.Q.); (H.W.)
| | - Xiaohui Fan
- Wuhan Shangcheng Biotechnology Co., Ltd., Wuhan 430070, China
| | - Dapeng Peng
- State Key Laboratory of Agricultural Microbiology, National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430070, China; (H.L.); (Y.L.); (L.Z.); (L.Q.); (H.W.)
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
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Seymour E, Ekiz Kanik F, Diken Gür S, Bakhshpour-Yucel M, Araz A, Lortlar Ünlü N, Ünlü MS. Solid-Phase Optical Sensing Techniques for Sensitive Virus Detection. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23115018. [PMID: 37299745 DOI: 10.3390/s23115018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 06/12/2023]
Abstract
Viral infections can pose a major threat to public health by causing serious illness, leading to pandemics, and burdening healthcare systems. The global spread of such infections causes disruptions to every aspect of life including business, education, and social life. Fast and accurate diagnosis of viral infections has significant implications for saving lives, preventing the spread of the diseases, and minimizing social and economic damages. Polymerase chain reaction (PCR)-based techniques are commonly used to detect viruses in the clinic. However, PCR has several drawbacks, as highlighted during the recent COVID-19 pandemic, such as long processing times and the requirement for sophisticated laboratory instruments. Therefore, there is an urgent need for fast and accurate techniques for virus detection. For this purpose, a variety of biosensor systems are being developed to provide rapid, sensitive, and high-throughput viral diagnostic platforms, enabling quick diagnosis and efficient control of the virus's spread. Optical devices, in particular, are of great interest due to their advantages such as high sensitivity and direct readout. The current review discusses solid-phase optical sensing techniques for virus detection, including fluorescence-based sensors, surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), optical resonators, and interferometry-based platforms. Then, we focus on an interferometric biosensor developed by our group, the single-particle interferometric reflectance imaging sensor (SP-IRIS), which has the capability to visualize single nanoparticles, to demonstrate its application for digital virus detection.
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Affiliation(s)
- Elif Seymour
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M4P 1R2, Canada
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Fulya Ekiz Kanik
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
| | - Sinem Diken Gür
- Department of Biology, Hacettepe University, Ankara 06800, Türkiye
| | - Monireh Bakhshpour-Yucel
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
- Department of Chemistry, Bursa Uludag University, Bursa 16059, Türkiye
| | - Ali Araz
- Department of Chemistry, Dokuz Eylül University, Izmir 35390, Türkiye
| | - Nese Lortlar Ünlü
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - M Selim Ünlü
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
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