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Zhang Y, Zhao C, Picchetti P, Zheng K, Zhang X, Wu Y, Shen Y, De Cola L, Shi J, Guo Z, Zou X. Quantitative SERS sensor for mycotoxins with extraction and identification function. Food Chem 2024; 456:140040. [PMID: 38878539 DOI: 10.1016/j.foodchem.2024.140040] [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: 03/06/2024] [Revised: 05/15/2024] [Accepted: 06/07/2024] [Indexed: 07/24/2024]
Abstract
The development of new sensors for on-site food toxin monitoring that combine extraction, analytes distinction and detection is important in resource-limited environments. Surface-enhanced Raman scattering (SERS)-based signal readout features fast response and high sensitivity, making it a powerful method for detecting mycotoxins. In this work, a SERS-based assay for the detection of multiple mycotoxins is presented that combines extraction and subsequent detection, achieving an analytically relevant detection limit (∼ 1 ng/mL), which is also tested in corn samples. This sensor consists of a magnetic-core and mycotoxin-absorbing polydopamine-shell, with SERS-active Au nanoparticles on the outer surface. The assay can concentrate multiple mycotoxins, which are identified through multiclass partite least squares analysis based on their SERS spectra. We developed a strategy for the analysis of multiple mycotoxins with minimal sample pretreatment, enabling in situ analytical extraction and subsequent detection, displaying the potential to rapidly identify lethal mycotoxin contamination on site.
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Affiliation(s)
- Yang Zhang
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Chuping Zhao
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Pierre Picchetti
- Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, Germany
| | - Kaiyi Zheng
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Xinai Zhang
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Yanling Wu
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Ye Shen
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Luisa De Cola
- Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, Germany; Department DISFARM, University of Milano, via Camillo Golgi 19, 20133 Milano, Italy; Department of Molecular Biochemistry and Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRRCCS, 20156 Milano, Italy
| | - Jiyong Shi
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Zhiming Guo
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Xiaobo Zou
- International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
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2
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Kozisek J, Hrncirova J, Slouf M, Sloufova I. Plasmon-driven substitution of 4-mercaptophenylboronic acid to 4-nitrothiophenol monitored by surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 319:124523. [PMID: 38820811 DOI: 10.1016/j.saa.2024.124523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/02/2024] [Accepted: 05/23/2024] [Indexed: 06/02/2024]
Abstract
Plasmon-driven reactions on plasmonic nanoparticles (NPs) occur under significantly different conditions from those of classical organic synthesis and provide a promising pathway for enhancing the efficiency of various chemical processes. However, these reactions can also have undesirable effects, such as 4-mercaptophenylboronic acid (MPBA) deboronation. MPBA chemisorbs well to Ag NPs through its thiol group and can subsequently bind to diols, enabling the detection of various biological structures by surface-enhanced Raman scattering (SERS), but not upon its deboronation. To avoid this reaction, we investigated the experimental conditions of MPBA deboronation on Ag NPs by SERS. Our results showed that the level of deboronation strongly depends on both the morphology of the system and the excitation laser wavelength and power. In addition, we detected not only the expected products, namely thiophenol and biphenyl-4,4-dithiol, but also 4-nitrothiophenol (NTP). The crucial reagent for NTP formation was an oxidation product of hydroxylamine hydrochloride, the reduction agent used in Ag NP synthesis. Ultimately, this reaction was replicated by adding NaNO2 to the system, and its progress was monitored as a function of the laser power, thereby identifying a new reaction of plasmon-driven -B(OH)2 substitution for -NO2.
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Affiliation(s)
- Jan Kozisek
- Charles University, Faculty of Science, Department of Physical and Macromolecular Chemistry, Hlavova 2030, 128 40 Prague 2, Czech Republic
| | - Jana Hrncirova
- Charles University, Faculty of Science, Department of Physical and Macromolecular Chemistry, Hlavova 2030, 128 40 Prague 2, Czech Republic
| | - Miroslav Slouf
- Institute of Macromolecular Chemistry, Czech Academy of Sciences, Heyrovskeho nam. 2, 162 06 Prague 6, Czech Republic
| | - Ivana Sloufova
- Charles University, Faculty of Science, Department of Physical and Macromolecular Chemistry, Hlavova 2030, 128 40 Prague 2, Czech Republic.
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3
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Yuwen L, Ni J, Liang J, Liu X, Chen Z, Li X, Lv H, Zhang J, Song C. Portable SERS biosensor based on aptamer-assisted catalytic hairpin assembly signal amplification for ultrasensitive detection of Staphylococcus aureus. Talanta 2024; 278:126565. [PMID: 39018762 DOI: 10.1016/j.talanta.2024.126565] [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: 09/20/2023] [Revised: 06/11/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
Bacteria infections pose a serious threat to public health, and it is urgent to develop facile and accurate detection methods. To meet the important need, a potable and high-sensitive surface enhanced Raman scattering (SERS) biosensor based on aptamer recognition and catalytic hairpin assembly (CHA) signal amplification was proposed for point-of-care detection of Staphylococcus aureus (S. aureus). The SERS biosensor contains three parts: recognition probes, SERS sensing chip, and SERS tags. The feasibility of the strategy was verified by gel electrophoresis, and the one-step test route was optimized. The bacteria SERS biosensor has a good linear relationship ranging from 10 to 107 CFU mL-1 with high sensitivity low to 5 CFU mL-1, and shows excellent specificity, uniformity, and repeatability on S. aureus identification and enumeration, which can distinguish S. aureus from other bacteria. The SERS biosensor shows a good recovery rate (95.73 %-109.65 %) for testing S. aureus spiked in milk, and has good practicability for detecting S. aureus infected mouse wound, which provides a facile and reliable approach for detection of trace bacteria in the real samples.
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Affiliation(s)
- Lihui Yuwen
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jie Ni
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jing Liang
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xinyu Liu
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Zhilong Chen
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xiao Li
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Huiming Lv
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jingjing Zhang
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Chunyuan Song
- State Key Laboratory of Organic Electronics and Information Displays, Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China; State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China.
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4
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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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5
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Huo B, Xia L, Hu Y, Li G. Flexible microfluidic co-recognition coupled with magnetic enrichment and silent SERS sensing for simultaneous analysis of bacteria in food. Biosens Bioelectron 2024; 255:116227. [PMID: 38552524 DOI: 10.1016/j.bios.2024.116227] [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: 02/10/2024] [Revised: 03/10/2024] [Accepted: 03/13/2024] [Indexed: 04/15/2024]
Abstract
Food safety represents a critical global public health issue, with safety challenges posed by foodborne pathogens garnering extensive attention. Therefore, we introduce a co-recognition, enrichment and sensing (CES) all-in-one strategy for analysis of bacteria with low background and high specificity. This method employs antimicrobial peptide (AMP) functionalized magnetic nanoparticles (MNPs) to enrich bacteria and uses aptamer@Au@PBA (KxMFe(CN)6 (M = Pb and Ni)) NPs as silent SERS tags. When both S. aureus and E. coli O157:H7 are present, the silent SERS probes could specifically label the target bacteria, forming a sandwich-like structure. This binding induces silent Raman shifts (2139 cm-1 and 2197 cm-1), enabling quantification of two bacteria. Coupling with the modular flexible microfluidics and magnetic control slider device, this platform facilitates rapid switching between magnetic loading and elution. The CES SERS method demonstrated linear relationships for both S. aureus and E. coli O157:H7 at 50-1600 cfu mL-1, with detection limits of 14 and 18 cfu mL-1, respectively. The method achieved recovery rates of 85.6-112% and relative standard deviations of 1.5-8.6%. Validation using the ELISA method revealed relative errors between -7.5 and 4.3%. The CES approach has potential applications in food safety, environmental monitoring, and biomedical diagnosis.
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Affiliation(s)
- Bingyang Huo
- School of Chemistry, Sun Yat-sen University, Guangzhou, 510006, China
| | - Ling Xia
- School of Chemistry, Sun Yat-sen University, Guangzhou, 510006, China
| | - Yuling Hu
- School of Chemistry, Sun Yat-sen University, Guangzhou, 510006, China
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou, 510006, China.
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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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Zhu A, Ali S, Wang Z, Xu Y, Lin R, Jiao T, Ouyang Q, Chen Q. ZnO@Ag-Functionalized Paper-Based Microarray Chip for SERS Detection of Bacteria and Antibacterial and Photocatalytic Inactivation. Anal Chem 2023; 95:18415-18425. [PMID: 38060837 DOI: 10.1021/acs.analchem.3c03492] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Bacterial infections caused by pathogenic microorganisms have become a serious, widespread health concern. Thus, it is essential and required to develop a multifunctional platform that can rapidly and accurately determine bacteria and effectively inhibit or inactivate pathogens. Herein, a microarray SERS chip was successfully synthesized using novel metal/semiconductor composites (ZnO@Ag)-ZnO nanoflowers (ZnO NFs) decorated with Ag nanoparticles (Ag NPs) arrayed on a paper-based chip as a supporting substrate for in situ monitoring and photocatalytic inactivation of pathogenic bacteria. Typical Gram-positive Staphylococcus aureus and Gram-negative Escherichia coli and Vibrio parahemolyticus were selected as models. Partial least-squares discriminant analysis (PLS-DA) was performed to minimize the dimensionality of SERS spectra data sets and to develop a cost-effective identification model. The classification accuracy was 100, 97.2, and 100% for S. aureus, E. coli, and V. parahemolyticus, respectively. The antimicrobial activity of ZnO@Ag was proved by the microbroth dilution method, and the minimum inhibitory concentrations (MICs) of S. aureus, E. coli, and V. parahemolyticus were 40, 50, and 55 μg/mL, respectively. Meanwhile, it demonstrated remarkable photocatalytic performance under natural sunlight for the inactivation of pathogenic bacteria, and the inactivation rates for S. aureus, E. coli, and V. parahemolyticus were 100, 97.03 and 97.56%, respectively. As a result, the microarray chip not only detected the bacteria with high sensitivity but also confirmed the antibacterial and photocatalytic sterilization properties. Consequently, it offers highly prospective strategies for foodborne diseases caused by pathogenic bacteria.
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Affiliation(s)
- Afang Zhu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Shujat Ali
- College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, P. R. China
| | - Zhen Wang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Yi Xu
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, P. R. China
| | - Rongxi Lin
- Fujian Bama Tea Industry Co., Ltd., Quanzhou 362442, P. R. China
| | - Tianhui Jiao
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, P. R. China
| | - Qin Ouyang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Quansheng Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, P. R. China
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Huang X, Chen L, Sha T, Lin Y, Zeng R, Xu J, Chen S, Cai HH, Zhang J, Zhou H, Sun PH, Jiang X. In Situ Tyrosinase Monitoring by Wearable Microneedle Patch toward Clinical Melanoma Screening. ACS NANO 2023; 17:20073-20086. [PMID: 37792448 DOI: 10.1021/acsnano.3c05638] [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: 10/05/2023]
Abstract
Despite the potential indicating role of tyrosinase (TYR) in cutaneous melanoma, how to capture the real changes of TYR in suspicious skin remains a major challenge. Unlike the traditional human serum test, this study reports a sensing platform that incorporates a wearable microneedle (MN) patch and trimetallic Au@Ag-Pt nanoparticles (NPs) for surface-enhanced Raman scattering (SERS) and colorimetric dual-mode detecting TYR in human skin in situ toward potential melanoma screening. In the presence of TYR, catechol immobilized on MN is preferentially oxidized to benzoquinone, which competitively impedes the interaction of MN and Au@Ag-Pt NPs, triggering the SERS-colorimetric signal reciprocal switch. Using a B16F10 mouse melanoma model, our platform is capable of noninvasively piercing the skin surface and detecting TYR levels before and during anti-PD-1 antibody treatment, which would be highly informative for prognostic judgment and illness monitoring of melanoma. Through in situ sensing for capturing the metabolic changes of TYR in advance, this platform was successfully applied to discriminate the melanoma subjects from skin moles and normal ones (p < 0.001), as well as screen potential melanoma from lactate dehydrogenase (LDH)-negative patients. Melanoma growth and prognosis can still be monitored through recording the continuous change of TYR levels. More importantly, the well-defined flexible and stretchable characteristics of the MN patch allow robustly adhering to the skin without inducing chemical or physical irritation. We believe this platform integrating MN-based in situ sensing, TYR responsiveness, and SERS/colorimetric dual-readout strategy will have high clinical importance in early diagnosis and monitoring of cutaneous melanoma.
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Affiliation(s)
- Xueqin Huang
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, School of Medical Technology, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523000, China
| | - Lingzhi Chen
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Tianjian Sha
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Yongjian Lin
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Runmin Zeng
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Jun Xu
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Shanze Chen
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Huai-Hong Cai
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Jianglin Zhang
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Haibo Zhou
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Ping-Hua Sun
- The Second Clinical Medical College (Shenzhen People's Hospital), The Fifth Affiliated Hospital, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
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Wang C, Xu G, Wang W, Ren Z, Zhang C, Gong Y, Zhao M, Qu Y, Li W, Zhou H, Li YQ. Bioinspired hot-spot engineering strategy towards ultrasensitive SERS sandwich biosensor for bacterial detection. Biosens Bioelectron 2023; 237:115497. [PMID: 37390642 DOI: 10.1016/j.bios.2023.115497] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/08/2023] [Accepted: 06/23/2023] [Indexed: 07/02/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) sandwich biosensors have received tremendous attention in early diagnosis of bacterial infections. However, efficiently engineering nanoscale plasmonic hots pots (HS) towards ultrasensitive SERS detection still remains challenging. Herein, we propose a bioinspired synergistic HS engineering strategy to construct ultrasensitive SERS sandwich bacterial sensor (named USSB), by coupling bioinspired signal module and plasmonic enrichment module to synergistically boost the number and intensity of HS. The bioinspired signal module is based on dendritic mesoporous silica nanocarrier (DMSN) loaded with plasmonic nanoparticles and SERS tag, while magnetic Fe3O4 nanoparticles coated with Au shell are employed in plasmonic enrichment module. We demonstrate that DMSN effectively shrank nanogaps between plasmonic nanoparticles to improve HS intensity. Meanwhile, plasmonic enrichment module contributed to plenty of additional HS inside and outside individual "sandwich". Ascribing to the boosted number and intensity of HS, the constructed USSB sensor exhibits ultrahigh detection sensitivity (7 CFU/mL) and selectivity towards model pathogenic bacteria of Staphylococcus aureus. Remarkably, the USSB sensor enables fast and accurate bacterial detection in real blood samples of septic mice, achieving early diagnosis of bacterial sepsis. The proposed bioinspired synergistic HS engineering strategy opens up a new direction for constructing ultrasensitive SERS sandwich biosensors, and may promote their advancing applications in the early diagnosis and prognosis of devastating diseases.
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Affiliation(s)
- Chunni Wang
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Guopeng Xu
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Weijie Wang
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Zhiyuan Ren
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Chengmei Zhang
- Laboratory Animal Center of Shandong University, Jinan, 250012, China
| | - Yuan Gong
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215025, China; Guizhou Children's Hospital, Zunyi, 563000, China
| | - Mingwen Zhao
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Yuanyuan Qu
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Weifeng Li
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China
| | - Huiting Zhou
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215025, China.
| | - Yong-Qiang Li
- Institute of Advanced Interdisciplinary Science, School of Physics, Shandong University, Jinan, 250100, China.
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10
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Bi L, Zhang H, Hu W, Chen J, Wu Y, Chen H, Li B, Zhang Z, Choo J, Chen L. Self-assembly of Au@AgNR along M13 framework: A SERS nanocarrier for bacterial detection and killing. Biosens Bioelectron 2023; 237:115519. [PMID: 37437455 DOI: 10.1016/j.bios.2023.115519] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/14/2023] [Accepted: 07/05/2023] [Indexed: 07/14/2023]
Abstract
Self-assembled functional nanomaterials with electromagnetic hot spots are crucial and highly desirable in surface-enhanced Raman scattering (SERS). Due to its versatile biological scaffold, the M13 phage has been employed to produce novel nano-building blocks and devices. In this study, we propose a novel M13 phage-based SERS nanocarrier, that utilizes the pVIII capsid in M13 to conjugate Au@Ag core-shell nanorod (Au@AgNR) with linker carboxy-PEG-thiol (M13-Au@AgNR) and the pIII capsid to specifically target Escherichia coli (E. coli). The M13-Au@AgNR@DTTC (3,3'- diethylthiocarbocyanine iodide) SERS probe was used to detect E. coli in a concentration range of 6 to 6 × 105 cfu/mL, achieving a limit of detection (LOD) of 0.5 cfu/mL. The proposed SERS platform was also tested in real samples, showing good recoveries (92%-114.3%) and a relative standard deviation (RSD) of 1.2%-4.7%. Furthermore, the system demonstrated high antibacterial efficiency against E. coli, approximately 90%, as measured by the standard plate-count method. The investigation provides an effective strategy for in vitro bacteria detection and inactivation.
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Affiliation(s)
- Liyan Bi
- School of Special Education, Binzhou Medical University, Yantai, 264003, China.
| | - Huangruici Zhang
- School of Special Education, Binzhou Medical University, Yantai, 264003, China
| | - Wenchao Hu
- School of Special Education, Binzhou Medical University, Yantai, 264003, China
| | - Jiadong Chen
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Yixuan Wu
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Hao Chen
- School of Environmental and Material Engineering, Yantai University, Yantai, 264003, China
| | - Bingqian Li
- School of Special Education, Binzhou Medical University, Yantai, 264003, China
| | - Zhiyang Zhang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai, 264003, China
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea.
| | - Lingxin Chen
- School of Special Education, Binzhou Medical University, Yantai, 264003, China; CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai, 264003, China; Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
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11
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Huang X, Chen L, Zhi W, Zeng R, Ji G, Cai H, Xu J, Wang J, Chen S, Tang Y, Zhang J, Zhou H, Sun P. Urchin-Shaped Au-Ag@Pt Sensor Integrated Lateral Flow Immunoassay for Multimodal Detection and Specific Discrimination of Clinical Multiple Bacterial Infections. Anal Chem 2023; 95:13101-13112. [PMID: 37526338 DOI: 10.1021/acs.analchem.3c01631] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
A new lateral flow immunoassay strip (LFIA) combining sensitive detection and identification of multiple bacteria remains a huge challenge. In this study, we first developed multifunctional urchin-shaped Au-Ag@Pt nanoparticles (UAA@P NPs) with a unique combination of colorimetric-SERS-photothermal-catalytic (CM/SERS/PT/CL) properties and integrated them with LFIA for multiplexed detection and specific discrimination of pathogenic bacteria in blood samples. Unlike the conventional LFIA that relied on antibody (Ab), this novel LFIA introduced 4-mercaptophenylboronic acid (4-MPBA) as an ideal Ab replacer that was functionalized on UAA@P NPs (UAA@P/M NPs) with outstanding binding and enrichment capacities toward bacteria. Taking Staphylococcus aureus (S. aureus) as model bacteria, the limit of detection (LOD) was 3 CFU/mL for SERS-LFIA, 27 CFU/mL for PT-LFIA, and 18 CFU/mL for CL-LFIA, three of which were over 330-fold, 37-fold, and 55-fold more sensitive than ordinary visual CM-LFIA, respectively. Besides, this SERS-LFIA is capable of identifying three types of bacterial spiked blood samples (E. coli, S. aureus, and P. aeruginosa) effectively according to specific bacterial Raman "fingerprints" by partial least-squares-discriminant analysis (PLS-DA). More importantly, this LFIA was successfully applied to blood samples with satisfactory recoveries from 90.3% to 108.8% and capable of identifying the infected patients (N = 4) from healthy subjects (N = 2) with great accuracy. Overall, the multimodal LFIA incorporates bacteria discrimination and quantitative detection, offering an avenue for early warning and diagnosis of bacterial infection.
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Affiliation(s)
- Xueqin Huang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Lingzhi Chen
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Weixia Zhi
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Runmin Zeng
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Guanxu Ji
- Oncology Department, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Huaihong Cai
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Jun Xu
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Jinyong Wang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
- Institute of Infectious Diseases, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Shanze Chen
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Yong Tang
- College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Jianglin Zhang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Haibo Zhou
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Pinghua Sun
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China
- The Fifth Affiliated Hospital of Jinan University, Heyuan 517000, China
- College of Pharmacy, Jinan University, Guangzhou 510632, China
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12
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Zhang XL, Zhang HN, Liang H, Yang X, Chai YQ, Yuan R. Gold Nanobipyramid Hotspot Aggregation-Induced Surface-Enhanced Raman Scattering for the Ultrasensitive Detection of miRNA. Anal Chem 2023; 95:12768-12775. [PMID: 37587155 DOI: 10.1021/acs.analchem.3c01477] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Herein, a surface-enhanced Raman scattering (SERS) biosensor was constructed by gold nanobipyramid (Au NBP) hotspot aggregation-induced SERS (HAI-SERS) for the ultrasensitive detection of microRNA-221 (miRNA-221). Impressively, compared with single Au NBP, the multiple Au NBPs assembled by tetrahedral DNA nanostructures (TDNs) could increase hotspot aggregation to significantly enhance the SERS signal of Raman molecule methylene blue (MB). Meanwhile, in the aid of Exo-III assisted target cycle amplification and TDNs-induced catalytic hairpin assembly (CHA) amplification, the biosensor could achieve the sensitive detection of miRNA-221 with a linear range of 1 fM-10 nM, and the limit of detection (LOD) was 0.59 fM, which could be used for practical application in MHCC-97L and MCF-7 cell lysates. This work provided a method for hotspot aggregation to enhance SERS for the detection of biomarkers and disease diagnosis.
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Affiliation(s)
- Xin-Li Zhang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Hai-Na Zhang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Huan Liang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Xia Yang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Ya-Qin Chai
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Ruo Yuan
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
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13
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Dai T, Xiao Z, Shan D, Moreno A, Li H, Prakash M, Banaei N, Rao J. Culture-Independent Multiplexed Detection of Drug-Resistant Bacteria Using Surface-Enhanced Raman Scattering. ACS Sens 2023; 8:3264-3271. [PMID: 37506677 DOI: 10.1021/acssensors.3c01345] [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: 07/30/2023]
Abstract
The rapid and accurate detection of bacteria resistance to β-lactam antibiotics is critical to inform optimal treatment and prevent overprescription of potent antibiotics. Here, we present a fast, culture-independent method for the detection of extended-spectrum β-lactamases (ESBLs) using surface-enhanced Raman scattering (SERS). The method uses Raman probes that release sulfur-based Raman active molecules in the presence of β-lactamases. The released thiol molecules can be captured by gold nanoparticles, leading to amplified Raman signals. A broad-spectrum cephalosporin probe R1G and an ESBL-specific probe R3G are designed to enable duplex detection of bacteria expressing broad-spectrum β-lactamases or ESBLs with a detection limit of 103 cfu/mL in 1 h incubation. Combined with a portable Raman microscope, our culturing-free SERS assay has reduced screening time to 1.5 h without compromising sensitivity and specificity.
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Affiliation(s)
- Tingting Dai
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
| | - Zhen Xiao
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Dingying Shan
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Angel Moreno
- Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Hongquan Li
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Manu Prakash
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Niaz Banaei
- Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States
- Clinical Microbiology Laboratory, Stanford University Medical Center, Palo Alto, California 94304, United States
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Jianghong Rao
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California 94305, United States
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14
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Wang Y, Cheng X, Wang C, Zhang D, Liu A, Wang Z, Wei W, Liu S. Ag +-gated peroxidase activity of gold nanoparticles for sensitive detection of Escherichia coli. Talanta 2023; 264:124779. [PMID: 37311328 DOI: 10.1016/j.talanta.2023.124779] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/02/2023] [Accepted: 06/06/2023] [Indexed: 06/15/2023]
Abstract
Escherichia coli (E. coli) is one of the most ubiquitous foodborne pathogens that can cause infections and threaten human health. Herein, a colorimetric method for sensitive detection of E. coli was established by using enzyme-nanozyme cascade reaction for signal amplification. Gold nanoparticles (AuNPs) are well-known nanozymes due to their high peroxidase-like activity. When the dense cetyltrimethylammonium bromide (CTAB) membrane on the surfaces of AuNPs kept the substrate away from AuNPs, the peroxidase activity of AuNPs was inhibited. However, the CTAB membrane could be disrupted by Ag+, resulting in enhanced peroxidase activity of AuNPs. When E. coli was present, the enzyme-nanozyme cascade reaction was initiated. The substrate p-aminophenyl β-D-galactopyranoside (PAPG) was hydrolyzed to the reductive p-aminophenol (PAP) by beta-galactosidase (β-gal) in E. coli, reducing Ag+ to Ag. Consequently, CTAB-AuNPs remained weak peroxidase activity and could not catalyze the H2O2-mediated oxidation of TMB. As the amount of E. coli increased, the absorbance of TMB decreased along with a color change from deep blue to pink. The absorbance intensity displayed a linear dependence on E. coli from 1.0 × 102 to 1.0 × 109 CFU mL-1. Therefore, the proposed method holds good prospects in foodborne pathogenic bacteria detection.
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Affiliation(s)
- Yong Wang
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Xiao Cheng
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Chenchen Wang
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Duoduo Zhang
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Anran Liu
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Zhi Wang
- Wuxi Institute of Inspection, Testing and Certification, Wuxi, 214125, China
| | - Wei Wei
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
| | - Songqin Liu
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
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15
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Zhang X, Xiong Y, Cai S, Wu T, Lian Z, Wang C, Zhang W, Yang R. Versatile gold-silver-PB nanojujubes for multi-modal detection and photo-responsive elimination against bacteria. Front Chem 2023; 11:1211523. [PMID: 37284578 PMCID: PMC10239827 DOI: 10.3389/fchem.2023.1211523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/10/2023] [Indexed: 06/08/2023] Open
Abstract
Bacterial infections have become a serious threat to global public health. Nanomaterials have shown promise in the development of bacterial biosensing and antibiotic-free antibacterial modalities, but single-component materials are often less functional and difficult to achieve dual bacterial detection and killing. Herein, we report a novel strategy based on the effective integration of multi-modal bacterial detection and elimination, by constructing the versatile gold-silver-Prussian blue nanojujubes (GSP NJs) via a facile template etching method. Such incorporation of multi-components involves the utilization of cores of gold nanobipyramids with strong surface-enhanced Raman scattering (SERS) activity, the shells of Prussian blue as both an efficient bio-silent SERS label and an active peroxidase-mimic, and functionalization of polyvinyl pyrrolidone and vancomycin, respectively endowing them with good colloidal dispersibility and specificity against S. aureus. The GSP NJs show operational convenience in the SERS detection and excellent peroxidase-like activity for the sensitive colorimetric detection. Meanwhile, they exhibit robust near-infrared photothermal/photodynamic effects, and the photo-promoted Ag+ ions release, ultimately achieving a high antibacterial efficiency over 99.9% in 5 min. The NJs can also effectively eliminate complex biofilms. The work provides new insights into the design of multifunctional core-shell nanostructures for the integrated bacterial detection and therapy.
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Affiliation(s)
- Xining Zhang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China
| | - Youlin Xiong
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Shuangfei Cai
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Ting Wu
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Zheng Lian
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Chen Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China
| | - Wei Zhang
- Institute of Applied Physics and Computational Mathematics, Beijing, China
| | - Rong Yang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, Beijing, China
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16
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Deng X, Wang S, Zhou W, Xu M, Chen B, Zhang W. Wrinkle-bioinspired silver nanowire surface enhanced Raman scattering sensors for pesticide molecule detection. Anal Bioanal Chem 2023:10.1007/s00216-023-04702-x. [PMID: 37071141 DOI: 10.1007/s00216-023-04702-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/09/2023] [Accepted: 04/12/2023] [Indexed: 04/19/2023]
Abstract
We demonstrate wrinkle-bioinspired flexible SERS sensor covered by silver nanowire (AgNWs) network for the detection of pesticide molecules. Compared with the silver film deposition substrates, the wrinkle-bioinspired AgNWs SERS substrates show stronger SERS effect, which were attributed to the electromagnetic field enhancement posed by the relatively high density "hot spots" of AgNWs. In order to investigate the adsorption performance of wrinkle-bioinspired flexible sensors, we measured the corresponding contact angles of AgNWs on the substrate surfaces before and after plasma treatment and found that the AgNWs treated with plasma are more hydrophilic than that without plasma treatment. Additionally, the wrinkle-bioinspired SERS sensors show different SERS activities under different tensile strain, and the 10-6 mol/L concentration of Rhodamine dye (R6G) molecules can be detected by portable Raman spectra, reducing greatly detection cost. The surface plasmon resonance of AgNWs is induced by adjusting the deformation of AgNWs substrate, enhancing the SERS signal. This reliability of wrinkle-bioinspired SERS sensors is further verified by in situ detection of pesticide molecules.
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Affiliation(s)
- Xue Deng
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Song Wang
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Wei Zhou
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Minghao Xu
- College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Bo Chen
- Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenqiang Zhang
- College of Engineering, China Agricultural University, Beijing, 100083, China.
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17
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Liu X, Chen Y, Bu T, Deng Z, Zhao L, Tian Y, Jia C, Li Y, Wang R, Wang J, Zhang D. Nanosheet antibody mimics based label-free and dual-readout lateral flow immunoassay for Salmonella enteritidis rapid detection. Biosens Bioelectron 2023; 229:115239. [PMID: 36965382 DOI: 10.1016/j.bios.2023.115239] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/27/2023]
Abstract
Portable devices for on-site foodborne pathogens detection are urgently desirable. Lateral flow immunoassay (LFIA) provides an efficient strategy for pathogens detection, however, antibody labeling independence and detection reliability, are still challenging. Here, we report the development of a label-free LFIA with dual-readout using glucan-functionalized two-dimensional (2D) transition metal dichalcogenides (TMDs) tungsten disulfide (WS2) as detection probes for sensitive detection of Salmonella enteritidis (S. enteritidis). In particular, glucan-functionalized WS2, synthesized via liquid exfoliation, are reliable detection antibody candidates which served as antibody mimics for bacteria capturing. This LFIA has not only eliminated the intricate antibody labeling process and screening of paired antibodies in conventional LFIAs, but also promised dual-readout (colorimetric/Raman) for flexible detection. Under optimized conditions, this LFIA achieves selective detection of S. enteritidis with a low visual detection limit of 103 CFU/mL and a broad linear range of 103-108 CFU/mL. Additionally, the LFIA could be successfully applied in drinking water and milk with recoveries of 85%-109%. This work is desirable to expand the application of 2D TMDs in biosensors and offers a brand-new alternative protocol of detection antibodies in foodborne pathogens detection.
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Affiliation(s)
- Xiaojing Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Tong Bu
- College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, Henan, 450002, China
| | - Ziai Deng
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Lei Zhao
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China.
| | - Yanli Tian
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Conghui Jia
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yuechun Li
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Rong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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18
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Huang X, Tian H, Huang L, Chen Q, Yang Y, Zeng R, Xu J, Chen S, Zhou X, Liu G, Li H, Zhang Y, Zhang J, Zheng J, Cai H, Zhou H. Well-Ordered Au Nanoarray for Sensitive and Reproducible Detection of Hepatocellular Carcinoma-Associated miRNA via CHA-Assisted SERS/Fluorescence Dual-Mode Sensing. Anal Chem 2023; 95:5955-5966. [PMID: 36916246 DOI: 10.1021/acs.analchem.2c05640] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Ultra-sensitive detection of cancer-related biomarkers in serum is of great significance for early diagnosis, treatment, prognosis, and staging of cancer. In this work, we proposed a surface-enhanced Raman scattering and fluorescence (SERS/FL) dual-mode biosensor for hepatocellular carcinoma (HCC)-related miRNA (miR-224) detection using the composition of well-arranged Au nanoarrays (Au NAs) substrate coupled with the target-catalyzed hairpin assembly (CHA) strategy. The hot spots densely and uniformly distributed on the Au array offers considerably enhanced and reproducible SERS signals, along with their wide and open surface to facilitate miR-224 adsorption. By this sensing strategy, the target miR-224 can be detected in a wide linear range (1 fM to 1 nM) with a limit of detection of 0.34 fM in the SERS mode and 0.39 fM in the FL mode. Meanwhile, this biosensor with exceptional specificity and anti-interference ability can discriminate target miR-224 from other interference miRNAs. Practical analysis of human blood samples also demonstrated considerable reliability and repeatability of our developed strategy. Furthermore, this biosensor can distinguish HCC cancer subjects from normal ones and monitor HCC patients before and after hepatectomy as well as guide the distinct Barcelona clinic liver cancer (BCLC) stages. Overall, benefiting from a well-arranged Au nanoarray, CHA amplification strategy, and SERS/metal enhanced fluorescence effect, this established biosensor opens new avenues for the early prediction, warning, monitoring, and staging of HCC.
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Affiliation(s)
- Xueqin Huang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Hemi Tian
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Lei Huang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Qiuxia Chen
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Yingqi Yang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Runmin Zeng
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Jun Xu
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Shanze Chen
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Xia Zhou
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Guangqiang Liu
- School of Physics and Physical Engineering, Shandong Provincial Key Laboratory of Laser Polarization and Information Technology, Qufu Normal University, Qufu 273100, China
| | - Haoyu Li
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Yuan Zhang
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Jianglin Zhang
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Junxia Zheng
- Department of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, China
| | - Huaihong Cai
- College of Chemistry and Materials Science, Jinan University, Guangzhou 510632, China
| | - Haibo Zhou
- The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, China.,College of Pharmacy, Jinan University, Guangzhou 510632, China
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19
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Liu L, Ma W, Wang X, Li S. Recent Progress of Surface-Enhanced Raman Spectroscopy for Bacteria Detection. BIOSENSORS 2023; 13:350. [PMID: 36979564 PMCID: PMC10046079 DOI: 10.3390/bios13030350] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
There are various pathogenic bacteria in the surrounding living environment, which not only pose a great threat to human health but also bring huge losses to economic development. Conventional methods for bacteria detection are usually time-consuming, complicated and labor-intensive, and cannot meet the growing demands for on-site and rapid analyses. Sensitive, rapid and effective methods for pathogenic bacteria detection are necessary for environmental monitoring, food safety and infectious bacteria diagnosis. Recently, benefiting from its advantages of rapidity and high sensitivity, surface-enhanced Raman spectroscopy (SERS) has attracted significant attention in the field of bacteria detection and identification as well as drug susceptibility testing. Here, we comprehensively reviewed the latest advances in SERS technology in the field of bacteria analysis. Firstly, the mechanism of SERS detection and the fabrication of the SERS substrate were briefly introduced. Secondly, the label-free SERS applied for the identification of bacteria species was summarized in detail. Thirdly, various SERS tags for the high-sensitivity detection of bacteria were also discussed. Moreover, we emphasized the application prospects of microfluidic SERS chips in antimicrobial susceptibility testing (AST). In the end, we gave an outlook on the future development and trends of SERS in point-of-care diagnoses of bacterial infections.
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Affiliation(s)
- Lulu Liu
- College of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
| | - Wenrui Ma
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
- Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| | - Xiang Wang
- Department of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China
| | - Shunbo Li
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
- Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
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20
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Muthukumar D, Shtenberg G. SERS-based immunosensor for E. coli contaminants detection in milk using silver-coated nanoporous silicon substrates. Talanta 2023; 254:124132. [PMID: 36459872 DOI: 10.1016/j.talanta.2022.124132] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/20/2022] [Accepted: 11/22/2022] [Indexed: 11/24/2022]
Abstract
The dairy sector is frequently affected by contagious and environmental factors that spread between animals by numerous means and induce the inflammatory disease of bovine mastitis (BM). Herein, silver decorated porous silicon (Ag-pSi) SERS platform was designed for rapid and reliable Escherichia coli (predominant BM pathogen) detection in various milk origins. The inherent surface void and pore morphology were physically optimized to augment the SERS effect using 4-aminothiphenol (4ATP) while achieving an enhancement factor >4.6 × 107. An indirect immunoassay evaluated the residual unreacted antibodies using an optimized 4ATP/Ag-pSi SERS platform modified with secondary antibodies. Under optimized conditions, the porous substrate offered high sensitivity toward target bacteria detection of 3 CFU mL-1 and linear response of 101-105 CFU mL-1. Moreover, the selectivity and specificity of the designed sensing platform were cross-validated against other interfering bacteria without compromising its performance efficiencies. Finally, the applicability of the developed system for real-life conditions was elucidated in different milk samples (bovine, goat, sheep) with recovery values of 78-115% compared to the conventional culture technique. Considering the complex media analysis, the miniaturized SERS platform is highly reliable, rapid and accurate that could be applicable for routine on-site analysis of various emerging pathogens relevant to BM management.
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Affiliation(s)
- Divagar Muthukumar
- Institute of Agricultural Engineering, ARO, Volcani Institute, Rishon LeZion, Israel
| | - Giorgi Shtenberg
- Institute of Agricultural Engineering, ARO, Volcani Institute, Rishon LeZion, Israel.
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21
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Awiaz G, Lin J, Wu A. Recent advances of Au@Ag core-shell SERS-based biosensors. EXPLORATION (BEIJING, CHINA) 2023; 3:20220072. [PMID: 37323623 PMCID: PMC10190953 DOI: 10.1002/exp.20220072] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 05/18/2022] [Indexed: 06/17/2023]
Abstract
The methodological advancements in surface-enhanced Raman scattering (SERS) technique with nanoscale materials based on noble metals, Au, Ag, and their bimetallic alloy Au-Ag, has enabled the highly efficient sensing of chemical and biological molecules at very low concentration values. By employing the innovative various type of Au, Ag nanoparticles and especially, high efficiency Au@Ag alloy nanomaterials as substrate in SERS based biosensors have revolutionized the detection of biological components including; proteins, antigens antibodies complex, circulating tumor cells, DNA, and RNA (miRNA), etc. This review is about SERS-based Au/Ag bimetallic biosensors and their Raman enhanced activity by focusing on different factors related to them. The emphasis of this research is to describe the recent developments in this field and conceptual advancements behind them. Furthermore, in this article we apex the understanding of impact by variation in basic features like effects of size, shape varying lengths, thickness of core-shell and their influence of large-scale magnitude and morphology. Moreover, the detailed information about recent biological applications based on these core-shell noble metals, importantly detection of receptor binding domain (RBD) protein of COVID-19 is provided.
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Affiliation(s)
- Gul Awiaz
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS) Key Laboratory of Magnetic Materials and Devices and Zhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and Engineering, CASNingboChina
- University of Chinese Academy of SciencesBeijingChina
| | - Jie Lin
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS) Key Laboratory of Magnetic Materials and Devices and Zhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and Engineering, CASNingboChina
- Advanced Energy Science and Technology Guangdong LaboratoryHuizhouChina
| | - Aiguo Wu
- Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS) Key Laboratory of Magnetic Materials and Devices and Zhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and Engineering, CASNingboChina
- Advanced Energy Science and Technology Guangdong LaboratoryHuizhouChina
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22
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Li J, Chen J, Dai Y, Liu Z, Zhao J, Liu S, Xiao R. Magnetic SERS Strip Based on 4-mercaptophenylboronic Acid-Modified Fe 3O 4@Au for Active Capture and Simultaneous Detection of Respiratory Bacteria. BIOSENSORS 2023; 13:210. [PMID: 36831976 PMCID: PMC9953780 DOI: 10.3390/bios13020210] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
The rapid diagnosis and detection of respiratory bacteria at the early stage can effectively control the epidemic spread and bacterial infection. Here, we designed a rapid, ultrasensitive, and quantitative lateral flow immunoassay (LFA) strip for simultaneous detection of respiratory bacteria S. aureus and S. pneumoniae. In this assay, the surface enhanced Raman scattering (SERS) tags were designed through combining magnetite Raman enhancement nanoparticle Fe3O4@Au/DTNB and recognition element 4-mercaptophenylboronic acid (4-MPBA). Further, 4-MPBA could capture multiple bacteria in a complex environmental solution. Based on the strategies, Fe3O4@Au/DTNB-mediated magnetic enrichment and 4-MPBA-mediated universal capture capabilities improved the detection sensitivity, the limits of detection for S. aureus and S. pneumoniae were as low as 8 and 13 CFU mL-1, respectively, which were more sensitive than those of colloidal gold method. The Fe3O4@Au/DTNB/Au/4-MPBA-LFA also exhibited good reproducibility, excellent specificity, and high recovery rates in sputum samples, indicating its potential application in the detection of respiratory bacteria samples.
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Affiliation(s)
- Jingfei Li
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Jin Chen
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Yuwei Dai
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Zhenzhen Liu
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Junnan Zhao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Shuchen Liu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
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