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Dong Z, Liu X, Zhou S, Zhu Y, Chen J, Liu Y, Ren X, Lu YQ, Xiao R, Wang G. Microsphere lens array embedded microfluidic chip for SERS detection with simultaneous enhancement of sensitivity and stability. Biosens Bioelectron 2024; 261:116505. [PMID: 38885536 DOI: 10.1016/j.bios.2024.116505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 05/25/2024] [Accepted: 06/15/2024] [Indexed: 06/20/2024]
Abstract
Surface enhanced Raman spectroscopy (SERS) utilizes the fingerprint features of molecular vibrations to identify and detect substances. However, in traditional single focus excitation scenarios, its signal collection efficiency of the objective is restricted. Furthermore, the uneven distribution of samples on the SERS substrate would result in poor signal stability, while the excitation power is limited to avoid sample damage. SERS detection system always requires precise adjustment of focal length and spot size, making it difficult for point-of-care testing applications. Here, we proposed a SERS microfluidic chip with barium titanate microspheres array (BTMA) embedded using vacuum self-assembled hot-pressing method for SERS detection with simultaneous enhancement of sensitivity and stability. Due to photonic nano-jets and directional antenna effects, high index microspheres are perfect micro-lens for effective light focusing and signal collecting. The BTMA can not only disperse excitation beam into an array of focal points covering the target uniformly with very low signal fluctuation, but enlarge the power threshold for higher signal intensity. We conducted a proof-of-principle experiment on chip for the detection of bacteria with immuno-magnetic tags and immuno-SERS tags. Together with magnetic and ultrasonic operations, the target bacteria in the flow were evenly congregated on the focal plane of BTMA. It demonstrated a limit of detection of 5 cells/mL, excellent signal reproducibility (error∼4.84%), and excellent position tolerance of 500 μm in X-Y plane (error∼5.375%). It can be seen that BTMA-SERS microfluidic chip can effectively solve the contradiction between sensitivity and stability in SERS detection.
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Affiliation(s)
- Zhenyong Dong
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China; Key Laboratory of Intelligent Optical Sensing and Integration of the Ministry of Education, Nanjing University, Nanjing, 210009, PR China
| | - Xiaoxian Liu
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China; Key Laboratory of Intelligent Optical Sensing and Integration of the Ministry of Education, Nanjing University, Nanjing, 210009, PR China; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Song Zhou
- Jiangsu Key Laboratory of Advanced Manufacturing Technology, Faculty of Mechanical and Material Engineering, Huaiyin Institute of Technology, Huai'an, 223003, PR China
| | - Yifan Zhu
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China; Key Laboratory of Intelligent Optical Sensing and Integration of the Ministry of Education, Nanjing University, Nanjing, 210009, PR China
| | - Jin Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China
| | - Yukai Liu
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China; Key Laboratory of Intelligent Optical Sensing and Integration of the Ministry of Education, Nanjing University, Nanjing, 210009, PR China
| | - Xiao Ren
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China; Key Laboratory of Intelligent Optical Sensing and Integration of the Ministry of Education, Nanjing University, Nanjing, 210009, PR China
| | - Yan-Qing Lu
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China.
| | - Rui Xiao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, PR China.
| | - Guanghui Wang
- College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, PR China; Key Laboratory of Intelligent Optical Sensing and Integration of the Ministry of Education, Nanjing University, Nanjing, 210009, PR China; Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, PR China.
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2
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Mansouri S. Recent developments of (bio)-sensors for detection of main microbiological and non-biological pollutants in plastic bottled water samples: A critical review. Talanta 2024; 274:125962. [PMID: 38537355 DOI: 10.1016/j.talanta.2024.125962] [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: 01/21/2024] [Revised: 02/27/2024] [Accepted: 03/20/2024] [Indexed: 05/04/2024]
Abstract
The importance of water in all biological processes is undeniable. Ensuring access to clean and safe drinking water is crucial for maintaining sustainable water resources. To elaborate, the consumption of water of inadequate quality can have a repercussion on human health. Furthermore, according to the instability of tap water quality, the consumption rate of bottled water is increasing every day at the global level. Although most people believe bottled water is safe, it can also be contaminated by microbiological or chemical pollution, which can increase the risk of disease. Over the last decades, several conventional analytical tools applied to analyze the contamination of bottled water. On the other hand, some limitations restrict their application in this field. Therefore, biosensors, as emerging analytical method, attract tremendous attention for detection both microbial and chemical contamination of bottled water. Biosensors enjoy several facilities including selectivity, affordability, and sensitivity. In this review, the developed biosensors for analyzing contamination of bottled water were highlighted, as along with working strategies, pros and cons of studies. Challenges and prospects were also examined.
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Affiliation(s)
- Sofiene Mansouri
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia; University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia.
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3
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Kim S, Song Y, Kim J, Jeong B, Park N, Park YM, Kim YT, Rho D, Lee SJ, Choi BG, Im SG, Lee KG. Nanotopology-Enabled On-Site Pathogen Detection for Managing Atopic Dermatitis. Adv Healthc Mater 2024; 13:e2303272. [PMID: 38412280 DOI: 10.1002/adhm.202303272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/19/2024] [Indexed: 02/29/2024]
Abstract
Atopic dermatitis (AD), a prevalent skin condition often complicated by microbial infection, poses a significant challenge in identifying the responsible pathogen for its effective management. However, a reliable, safe tool for pinpointing the source of these infections remains elusive. In this study, a novel on-site pathogen detection that combines chemically functionalized nanotopology with genetic analysis is proposed to capture and analyze pathogens closely associated with severe atopic dermatitis. The chemically functionalized nanotopology features a 3D hierarchical nanopillar array (HNA) with a functional polymer coating, tailored to isolate target pathogens from infected skin. This innovative nanotopology demonstrates superior pathogenic capture efficiency, favorable entrapment patterns, and non-cytotoxicity. An HNA-assembled stick is utilized to directly retrieve bacteria from infected skin samples, followed by extraction-free quantitative loop-mediated isothermal amplification (direct qLAMP) for validation. To mimic human skin conditions, porcine skin is employed to successfully capture Staphylococcus aureus, a common bacterium exacerbating AD cases. The on-site detection method exhibits an impressive detection limit of 103 cells mL-1. The HNA-assembled stick represents a promising tool for on-site detection of bacteria associated with atopic dermatitis. This innovative approach enables to deepen the understanding of AD pathogenesis and open avenues for more effective management strategies for chronic skin conditions.
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Affiliation(s)
- Seongeun Kim
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Younseong Song
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Jueun Kim
- Department of Chemical Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea
| | - Booseok Jeong
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Nahyun Park
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Yoo Min Park
- Center for NanoBio Development, National NanoFab Center, Daejeon, 34141, Republic of Korea
| | - Yong Tae Kim
- Department of Chemical Engineering & Biotechnology, Tech University of Korea, Siheung-si, 15073, Republic of Korea
| | - Donggee Rho
- Center for NanoBio Development, National NanoFab Center, Daejeon, 34141, Republic of Korea
| | - Seok Jae Lee
- Center for NanoBio Development, National NanoFab Center, Daejeon, 34141, Republic of Korea
| | - Bong Gill Choi
- Department of Chemical Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea
| | - Sung Gap Im
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Kyoung G Lee
- Center for NanoBio Development, National NanoFab Center, Daejeon, 34141, Republic of Korea
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Zheng S, Xiao J, Zhang J, Sun Q, Liu D, Liu Y, Gao X. Python-assisted detection and photothermal inactivation of Salmonella typhimurium and Staphylococcus aureus on a background-free SERS chip. Biosens Bioelectron 2024; 247:115913. [PMID: 38091898 DOI: 10.1016/j.bios.2023.115913] [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: 08/31/2023] [Revised: 11/09/2023] [Accepted: 12/03/2023] [Indexed: 01/02/2024]
Abstract
In this study, a background-free surface-enhanced Raman scattering (SERS) chip with a sandwich configuration was fabricated to enable reliable detection and photothermal inactivation of multiple bacteria. The SERS chip consists of a graphene-coated, phenylboronic-modified plasmonic gold substrate (pAu/G/PBA), and two aptamer-functionalized core (gold)-shell (Prussian blue/Poly-L-lysine and 4-mercaptobenzonitrile/polydopamine) SERS tags (Au@PB@PLL@Apt and Au@MB@PDA@Apt). The detection signals rely on the characteristic and nonoverlapping Raman bands of the SERS tags within the Raman-silent region (1800-2800 cm-1), where no background signals from the sample matrix are observed, leading to improved detection sensitivity and accuracy. Considering the relatively large size of bacteria (e.g., micron level), a rapid Raman mapping technique was chosen over conventional point-scan methods to achieve more reliable quantitative analysis of bacteria. This technique involves collecting and analyzing intensity signals of SERS tags from all the scattering points with an average ensemble effect, which is facilitated by the use of Python. As a proof-of-concept, model bacterium of Salmonella typhimurium and Staphylococcus aureus were successfully detected using the SERS chip with a dynamic range of 10-107 CFU/mL. Additionally, the SERS chip demonstrated successful detection of these bacteria in whole blood samples. Moreover, the photothermal effect of pAu/G led to efficient bacteria elimination, achieving approximately 100% eradication. This study integrated a background-free SERS chip with a Python-assisted rapid Raman mapping technique, resulting in a reliable, rapid and accurate method for detecting and eliminating multiple bacteria, which may provide a promising alternative for multiple screening of bacteria in real samples.
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Affiliation(s)
- Shuo Zheng
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jinru Xiao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jing Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Qixiu Sun
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Dingbin Liu
- College of Chemistry, Nankai University, Tianjin, 300071, China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China.
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5
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Sun Y, Zheng X, Wang H, Yan M, Chen Z, Yang Q, Shao Y. Research advances of SERS analysis method based on silent region molecules for food safety detection. Mikrochim Acta 2023; 190:387. [PMID: 37700165 DOI: 10.1007/s00604-023-05968-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/27/2023] [Indexed: 09/14/2023]
Abstract
Food safety is a critical issue that is closely related to people's health and safety. As a simple, rapid, and sensitive detection technique, surface-enhanced Raman scattering (SERS) technology has significant potential for food safety detection. Recently, researchers have shown a growing interest in utilizing silent region molecules for SERS analysis. These molecules exhibit significant Raman scattering peaks in the cellular Raman silent region between 1800 and 2800 cm-1 avoiding overlapping with the SERS spectrum of biological matrices in the range 600-1800 cm-1, which could effectively circumvent matrix effects and improve the SERS accuracy. In this review, the application of silent region molecules-based SERS analytical technique for food safety detection is introduced, detection strategies including label-free detection and labeled detection are discussed, and recent applications of SERS analysis technology based on molecules containing alkyne and nitrile groups, as well as Prussian blue (PB) in the detection of pesticides, mycotoxins, metal ions, and foodborne pathogens are highlighted. This review aims to draw the attention to the silent region molecules-based SERS analytical technique and to provide theoretical support for its further applications in food safety detection.
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Affiliation(s)
- Yuhang Sun
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Xinxin Zheng
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China
| | - Hao Wang
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Mengmeng Yan
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Zilei Chen
- Institution of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Qinzheng Yang
- School of Bioengineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan, 250353, Shandong, People's Republic of China.
| | - Yong Shao
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Science, Beijing, 100081, China.
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Ilyas A, Dyussupova A, Sultangaziyev A, Shevchenko Y, Filchakova O, Bukasov R. SERS immuno- and apta-assays in biosensing/bio-detection: Performance comparison, clinical applications, challenges. Talanta 2023; 265:124818. [PMID: 37453393 DOI: 10.1016/j.talanta.2023.124818] [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: 02/21/2023] [Revised: 06/09/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023]
Abstract
Surface Enhanced Raman Spectroscopy is increasingly used as a sensitive bioanalytical tool for detection of variety of analytes ranging from viruses and bacteria to cancer biomarkers and toxins, etc. This comprehensive review describes principles of operation and compares the performance of immunoassays and aptamer assays with Surface Enhanced Raman scattering (SERS) detection to each other and to some other bioassay methods, including ELISA and fluorescence assays. Both immuno- and aptamer-based assays are categorized into assay on solid substrates, assays with magnetic nanoparticles and assays in laminar flow or/and strip assays. The best performing and recent examples of assays in each category are described in the text and illustrated in the figures. The average performance, particularly, limit of detection (LOD) for each of those methods reflected in 9 tables of the manuscript and average LODs are calculated and compared. We found out that, on average, there is some advantage in terms of LOD for SERS immunoassays (0.5 pM median LOD of 88 papers) vs SERS aptamer-based assays (1.7 pM median LOD of 51 papers). We also tabulated and analyzed the clinical performance of SERS immune and aptamer assays, where selectivity, specificity, and accuracy are reported, we summarized the best examples. We also reviewed challenges to SERS bioassay performance and real-life application, including non-specific protein binding, nanoparticle aggregation, limited nanotag stability, sometimes, relatively long time to results, etc. The proposed solutions to those challenges are also discussed in the review. Overall, this review may be interesting not only to bioanalytical chemist, but to medical and life science researchers who are interested in improvement of bioanalyte detection and diagnostics.
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Affiliation(s)
- Aisha Ilyas
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan
| | | | | | - Yegor Shevchenko
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan
| | - Olena Filchakova
- Department of Biology, SSH, Nazarbayev University, Astana, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan.
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Zhao W, Yang S, Zhang D, Zhou T, Huang J, Gao M, Jiang Y, Liu Y, Yang J. Ultrasensitive dual-enhanced sandwich strategy for simultaneous detection of Escherichia coli and Staphylococcus aureus based on optimized aptamers-functionalized magnetic capture probes and graphene oxide-Au nanostars SERS tags. J Colloid Interface Sci 2023; 634:651-663. [PMID: 36549213 DOI: 10.1016/j.jcis.2022.12.077] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/09/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
In this work, a novel surface-enhanced Raman scattering (SERS) sandwich strategy biosensing platform has been established for simultaneously detecting Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). Fe3O4@SiO2-Au nanocomposites (NCs) with varying amounts of Au nanocrystals were prepared, and the effect of interparticle gaps on SERS activity was studied by finite-difference time-domain (FDTD) method. The optimal magnetic SERS-active substrates (FS-A5) were functionalized with the specific aptamers to act as capture probes. Meanwhile, graphene oxide-Au nanostars (GO-Au NSs) decorated with Raman reporters and aptamers were used as SERS tags. The loading density of Au NSs on GO was tuned to change the number of SERS active sites. In this proposal, E. coli and S. aureus were first captured by capture probes and then bound with SERS tags to form a sandwich-like structure, which caused enhanced electromagnetic field because of the dual enhancement strategy. Under optimal conditions, SERS platform could detect E. coli and S. aureus simultaneously, and the detection limit was as low as 10 cfu/mL. Our sandwich assay-based dual-enhanced SERS platform provides a new idea for simultaneously detecting multiple pathogens with high selectivity and sensitivity, and thus will have more hopeful prospects in the field of food safety.
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Affiliation(s)
- Wenshi Zhao
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuo Yang
- College of Science, Changchun University, Changchun 130022, China
| | - Daxin Zhang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianxiang Zhou
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Jie Huang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Ming Gao
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yuhong Jiang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yang Liu
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China.
| | - Jinghai Yang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China.
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Wei Q, Dong Q, Pu H. Multiplex Surface-Enhanced Raman Scattering: An Emerging Tool for Multicomponent Detection of Food Contaminants. BIOSENSORS 2023; 13:296. [PMID: 36832062 PMCID: PMC9954132 DOI: 10.3390/bios13020296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/31/2022] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
For survival and quality of human life, the search for better ways to ensure food safety is constant. However, food contaminants still threaten human health throughout the food chain. In particular, food systems are often polluted with multiple contaminants simultaneously, which can cause synergistic effects and greatly increase food toxicity. Therefore, the establishment of multiple food contaminant detection methods is significant in food safety control. The surface-enhanced Raman scattering (SERS) technique has emerged as a potent candidate for the detection of multicomponents simultaneously. The current review focuses on the SERS-based strategies in multicomponent detection, including the combination of chromatography methods, chemometrics, and microfluidic engineering with the SERS technique. Furthermore, recent applications of SERS in the detection of multiple foodborne bacteria, pesticides, veterinary drugs, food adulterants, mycotoxins and polycyclic aromatic hydrocarbons are summarized. Finally, challenges and future prospects for the SERS-based detection of multiple food contaminants are discussed to provide research orientation for further.
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Affiliation(s)
- Qingyi Wei
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Qirong Dong
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
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Dayalan S, Gedda G, Li R, Zulfajri M, Huang GG. Vancomycin functionalization of gold nanostars for sensitive detection of foodborne pathogens through surface‐enhanced Raman scattering. J CHIN CHEM SOC-TAIP 2022. [DOI: 10.1002/jccs.202200421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Sandhiya Dayalan
- Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung Taiwan
| | - Gangaraju Gedda
- Department of Chemistry, School of Engineering Presidency University Bangalore India
| | - Ruei–Nian Li
- Department of Biomedical Science and Environmental Biology Kaohsiung Medical University Kaohsiung Taiwan
| | - Muhammad Zulfajri
- Department of Chemistry Education Universitas Serambi Mekkah Banda Aceh Indonesia
| | - Genin Gary Huang
- Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung Taiwan
- Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Taiwan
- Department of Chemistry National Sun Yat‐sen University Kaohsiung Taiwan
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Hussain M, Zou J, Zhang H, Zhang R, Chen Z, Tang Y. Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria. BIOSENSORS 2022; 12:bios12100869. [PMID: 36291007 PMCID: PMC9599795 DOI: 10.3390/bios12100869] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 05/06/2023]
Abstract
Detection of foodborne pathogens at an early stage is very important to control food quality and improve medical response. Rapid detection of foodborne pathogens with high sensitivity and specificity is becoming an urgent requirement in health safety, medical diagnostics, environmental safety, and controlling food quality. Despite the existing bacterial detection methods being reliable and widely used, these methods are time-consuming, expensive, and cumbersome. Therefore, researchers are trying to find new methods by integrating spectroscopy techniques with artificial intelligence and advanced materials. Within this progress report, advances in the detection of foodborne pathogens using spectroscopy techniques are discussed. This paper presents an overview of the progress and application of spectroscopy techniques for the detection of foodborne pathogens, particularly new trends in the past few years, including surface-enhanced Raman spectroscopy, surface plasmon resonance, fluorescence spectroscopy, multiangle laser light scattering, and imaging analysis. In addition, the applications of artificial intelligence, microfluidics, smartphone-based techniques, and advanced materials related to spectroscopy for the detection of bacterial pathogens are discussed. Finally, we conclude and discuss possible research prospects in aspects of spectroscopy techniques for the identification and classification of pathogens.
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Affiliation(s)
- Mubashir Hussain
- School of Materials and Chemical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
- Postdoctoral Innovation Practice, Shenzhen Polytechnic, Liuxian Avenue, Nanshan District, Shenzhen 518055, China
| | - Jun Zou
- School of Materials and Chemical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
- Correspondence: (Z.J.); (T.Y.)
| | - He Zhang
- School of Materials and Chemical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
| | - Ru Zhang
- School of Materials and Chemical Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Yongjun Tang
- Postdoctoral Innovation Practice, Shenzhen Polytechnic, Liuxian Avenue, Nanshan District, Shenzhen 518055, China
- Correspondence: (Z.J.); (T.Y.)
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Liu YQ, Zhu W, Yuan Q, Hu JM, Zhang X, Shen AG. Photoreduced Ag+ surrounding single poly(4-cyanostyrene) nanoparticles for undifferentiated SERS sensing and killing of bacteria. Talanta 2022; 245:123450. [DOI: 10.1016/j.talanta.2022.123450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/30/2022] [Accepted: 04/03/2022] [Indexed: 11/26/2022]
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12
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Separation and detection of E. coli O157:H7 using a SERS-based microfluidic immunosensor. Mikrochim Acta 2022; 189:111. [DOI: 10.1007/s00604-022-05187-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 01/11/2022] [Indexed: 10/19/2022]
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Sun R, Zou H, Zhang Y, Zhang X, Chen L, Lv R, Sheng R, Du T, Li Y, Wang H, Qi Y. Vancomycin recognition and induced-aggregation of the Au nanoparticles through freeze-thaw for foodborne pathogen Staphylococcus aureus detection. Anal Chim Acta 2022; 1190:339253. [PMID: 34857141 DOI: 10.1016/j.aca.2021.339253] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/31/2021] [Accepted: 11/03/2021] [Indexed: 11/24/2022]
Abstract
Infectious diseases caused by foodborne pathogens have become a serious public health problem. It is urgent to develop simple, rapid, and visual methods for pathogen detection. Herein, gold nanoparticles (AuNPs), aptamer and vancomycin (Van) based dual-recognition molecules and magnetic enrichment were combined to realize visual detection of Staphylococcus aureus (S. aureus). Initially, S. aureus was bounded to aptamer coupled Fe3O4 with high affinity and selectivity, which can achieve the separation and enrichment of S. aureus in complex sample matrix. Subsequently, the second recognition molecule, Van, was conjugated to S. aureus -Apt - Fe3O4. Finally, the unbound Van supernatant was dropped in AuNPs solution that induced the aggregation of the AuNPs through freeze-thaw. Firstly, it was found that AuNPs were stable in the presence of Van after a freeze-thaw cycle. A facile visual colorimetric detection of S. aureus was constructed with the linear range from 101 to 104 CFU/mL and the limit of detection (LOD) of 0.2 CFU/mL. By altering the aptamer, this method can be extended to the other Gram-positive bacteria. The proposed method has great potential applications in monitoring food contamination and infectious diseases.
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Affiliation(s)
- Ruimeng Sun
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Hangjin Zou
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Yang Zhang
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Xinming Zhang
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Lixia Chen
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Ruijuan Lv
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Rongtian Sheng
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Ting Du
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Yuhan Li
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Han Wang
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China
| | - Yanfei Qi
- School of Public Health, Jilin University, Changchun, Jilin, 130021, PR China.
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14
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Serebrennikova KV, Berlina AN, Sotnikov DV, Zherdev AV, Dzantiev BB. Raman Scattering-Based Biosensing: New Prospects and Opportunities. BIOSENSORS 2021; 11:512. [PMID: 34940269 PMCID: PMC8699498 DOI: 10.3390/bios11120512] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/10/2021] [Accepted: 12/11/2021] [Indexed: 05/02/2023]
Abstract
The growing interest in the development of new platforms for the application of Raman spectroscopy techniques in biosensor technologies is driven by the potential of these techniques in identifying chemical compounds, as well as structural and functional features of biomolecules. The effect of Raman scattering is a result of inelastic light scattering processes, which lead to the emission of scattered light with a different frequency associated with molecular vibrations of the identified molecule. Spontaneous Raman scattering is usually weak, resulting in complexities with the separation of weak inelastically scattered light and intense Rayleigh scattering. These limitations have led to the development of various techniques for enhancing Raman scattering, including resonance Raman spectroscopy (RRS) and nonlinear Raman spectroscopy (coherent anti-Stokes Raman spectroscopy and stimulated Raman spectroscopy). Furthermore, the discovery of the phenomenon of enhanced Raman scattering near metallic nanostructures gave impetus to the development of the surface-enhanced Raman spectroscopy (SERS) as well as its combination with resonance Raman spectroscopy and nonlinear Raman spectroscopic techniques. The combination of nonlinear and resonant optical effects with metal substrates or nanoparticles can be used to increase speed, spatial resolution, and signal amplification in Raman spectroscopy, making these techniques promising for the analysis and characterization of biological samples. This review provides the main provisions of the listed Raman techniques and the advantages and limitations present when applied to life sciences research. The recent advances in SERS and SERS-combined techniques are summarized, such as SERRS, SE-CARS, and SE-SRS for bioimaging and the biosensing of molecules, which form the basis for potential future applications of these techniques in biosensor technology. In addition, an overview is given of the main tools for success in the development of biosensors based on Raman spectroscopy techniques, which can be achieved by choosing one or a combination of the following approaches: (i) fabrication of a reproducible SERS substrate, (ii) synthesis of the SERS nanotag, and (iii) implementation of new platforms for on-site testing.
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Affiliation(s)
| | | | | | | | - Boris B. Dzantiev
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia; (K.V.S.); (A.N.B.); (D.V.S.); (A.V.Z.)
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Xu L, Bai X, Bhunia AK. Current State of Development of Biosensors and Their Application in Foodborne Pathogen Detection. J Food Prot 2021; 84:1213-1227. [PMID: 33710346 DOI: 10.4315/jfp-20-464] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/11/2021] [Indexed: 01/16/2023]
Abstract
ABSTRACT Foodborne disease outbreaks continue to be a major public health and food safety concern. Testing products promptly can protect consumers from foodborne diseases by ensuring the safety of food before retail distribution. Fast, sensitive, and accurate detection tools are in great demand. Therefore, various approaches have been explored recently to find a more effective way to incorporate antibodies, oligonucleotides, phages, and mammalian cells as signal transducers and analyte recognition probes on biosensor platforms. The ultimate goal is to achieve high specificity and low detection limits (1 to 100 bacterial cells or piconanogram concentrations of toxins). Advancements in mammalian cell-based and bacteriophage-based sensors have produced sensors that detect low levels of pathogens and differentiate live from dead cells. Combinations of biotechnology platforms have increased the practical utility and application of biosensors for detection of foodborne pathogens. However, further rigorous testing of biosensors with complex food matrices is needed to ensure the utility of these sensors for point-of-care needs and outbreak investigations. HIGHLIGHTS
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Affiliation(s)
- Luping Xu
- Molecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana 47907, USA
| | - Xingjian Bai
- Molecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana 47907, USA
| | - Arun K Bhunia
- Molecular Food Microbiology Laboratory, Department of Food Science, Purdue University, West Lafayette, Indiana 47907, USA.,Department of Comparative Pathobiology, Purdue University, West Lafayette, Indiana 47907, USA.,Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, Indiana 47907, USA
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16
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Cao M, Liu Y, Lu C, Guo M, Li L, Yu C, Wei JF. Ultrasensitive detection of specific IgE based on nanomagnetic capture and separation with a AuNP-anti-IgE nanobioprobe for signal amplification. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:2478-2484. [PMID: 33998609 DOI: 10.1039/d1ay00372k] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The accurate detection of allergen specific IgE (sIgE) is fundamental in the diagnosis of allergic diseases. The present commercial platforms fail to meet the need for personalized diagnosis, due to the unsuitable allergen-fixation model and large amounts of serum consumption. In this work, we developed a nano-capturer Fe3O4@SiO2-NTA with an enhanced signal by taking advantage of a AuNP-anti-IgE nanobioprobe for precise and highly sensitive quantification detection of sIgE in serum of allergic patients. The recombinant allergen was immobilized on Fe3O4@SiO2-NTA through the interaction between its His-tag and Ni-NTA, which is more consistent with the real binding mode of allergens with sIgE in vivo than the present clinically used allergen-fixation methods. Numerous horseradish peroxidase (HRP)-labeled anti-IgE were modified onto one AuNP to detect the sIgE probed by Fe3O4@SiO2-NTA@rCanf1. Once one anti-IgE binds to sIgE, other HRP-labeled anti-IgE modified on the same AuNP would all create signals, resulting in a significantly amplified chemiluminescence (CL) signal. Our results showed that this immunosensor could realize fast, accurate, low-cost and highly sensitive sIgE detection in serum samples. In vitro experiments demonstrated a 0.02 ng mL-1 detection limit, which was lower than that of any standard analyzer used for allergy immunoassays. Furthermore, our method was utilized for the diagnosis of clinical samples. The results were in good agreement with those obtained by the clinical gold standard ImmunoCAP, with 1000 times less serum consumption than ImmunoCAP. Therefore, the presented immunosensor holds great promise to improve clinical sIgE quantitative detection and constitutes a potentially useful tool for clinical diagnosis and subsequent individual treatment of allergic diseases.
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Affiliation(s)
- Mengda Cao
- Research Division of Clinical Pharmacology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
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Qu LL, Ying YL, Yu RJ, Long YT. In situ food-borne pathogen sensors in a nanoconfined space by surface enhanced Raman scattering. Mikrochim Acta 2021; 188:201. [PMID: 34041602 PMCID: PMC8154335 DOI: 10.1007/s00604-021-04864-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/13/2021] [Indexed: 01/04/2023]
Abstract
The incidence of disease arising from food-borne pathogens is increasing continuously and has become a global public health problem. Rapid and accurate identification of food-borne pathogens is essential for adopting disease intervention strategies and controlling the spread of epidemics. Surface-enhanced Raman spectroscopy (SERS) has attracted increasing interest due to the attractive features including simplicity, rapid measurement, and high sensitivity. It can be used for rapid in situ sensing of single and multicomponent samples within the nanostructure-based confined space by providing molecular fingerprint information and has been demonstrated to be an effective detection strategy for pathogens. This article aims to review the application of SERS to the rapid sensing of food-borne pathogens in food matrices. The mechanisms and advantages of SERS, and detection strategies are briefly discussed. The latest progress on the use of SERS for rapid detection of food-borne bacteria and viruses is considered, including both the labeled and label-free detection strategies. In closing, according to the current situation regarding detection of food-borne pathogens, the review highlights the challenges faced by SERS and the prospects for new applications in food safety. In this review, the advances on the SERS detection of pathogens over the past decades have been reviewed, focusing on the improvements in sensitivity, reproducibility, specificity, and the performance of the SERS-based assay in complex analytical scenarios. ![]()
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Affiliation(s)
- Lu-Lu Qu
- School of Chemistry and Materials Science, Jiangsu Normal University, 221116, Xuzhou, People's Republic of China.
| | - Yi-Lun Ying
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China
| | - Ru-Jia Yu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China.
| | - Yi-Tao Long
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, People's Republic of China
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