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Ma G, Li X, Cai J, Wang X. Carbon dots-based fluorescent probe for detection of foodborne pathogens and its potential with microfluidics. Food Chem 2024; 451:139385. [PMID: 38663242 DOI: 10.1016/j.foodchem.2024.139385] [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: 12/20/2023] [Revised: 04/03/2024] [Accepted: 04/14/2024] [Indexed: 05/26/2024]
Abstract
Concern about food safety triggers demand on rapid, accurate and on-site detection of foodborne pathogens. Among various fluorescent probes for detection, carbon dots (CDs) prepared by carbonization of carbon-rich raw materials show extraordinary performance for their excellent and tailorable photoluminescence property, as well as their facilely gained specificity by surface customization and modification. CDs-based fluorescent probes play a crucial role in many pathogenic bacteria sensing systems. In addition, microfluidic technology with characteristics of portability and functional integration is expected to combine with CDs-based fluorescent probes for point-of-care testing (POCT), which can further enhance the detection property of CDs-based fluorescent probes. Here, this paper reviews CDs-based bacterial detection methods and systems, including the structural modulation of fluorescent probes and pathogenic bacteria detection mechanisms, and describes the potential of combining CDs with microfluidic technology, providing reference for the development of novel rapid detection technology for pathogenic bacteria in food.
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Affiliation(s)
- Guozhi Ma
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China
| | - Xiaoyun Li
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China
| | - Jihai Cai
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China
| | - Xiaoying Wang
- State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, 381 Wushan Road, Guangzhou 510640, China.
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2
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Silva GBL, Campos FV, Guimarães MCC, Oliveira JP. Recent Developments in Lateral Flow Assays for Salmonella Detection in Food Products: A Review. Pathogens 2023; 12:1441. [PMID: 38133324 PMCID: PMC10747123 DOI: 10.3390/pathogens12121441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/22/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023] Open
Abstract
Salmonellosis is a disease transmitted by contaminated food and is one of the leading causes of infections worldwide, making the early detection of Salmonella of crucial importance for public health. However, current detection methods are laborious and time-consuming, thus impacting the entire food supply chain and leading to production losses and economic sanctions. To mitigate these issues, a number of different biosensors have been developed, including lateral flow assays (LFAs), which have emerged as valuable tools in pathogen detection due to their portability, ease of use, time efficiency, and cost effectiveness. The performance of LFAs has been considerably enhanced by the development of new nanomaterials over the years. In this review, we address the principles and formats of the assay and discuss future prospects and challenges with an emphasis on LFAs developed for the detection of different Salmonella serovars in food.
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Affiliation(s)
| | | | | | - Jairo P. Oliveira
- Morphology Department, Health Sciences Center, Federal University of Espírito Santo, Av Marechal Campos 1468, Vitória 29040-090, Brazil; (G.B.L.S.); (F.V.C.); (M.C.C.G.)
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3
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Zhou J, Wang TY, Lan Z, Yang HJ, Ye XJ, Min R, Wang ZH, Huang Q, Cao J, Gao YE, Wang WL, Sun XL, Zhang Y. Strategy of functional nucleic acids-mediated isothermal amplification for detection of foodborne microbial contaminants: A review. Food Res Int 2023; 173:113286. [PMID: 37803599 DOI: 10.1016/j.foodres.2023.113286] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 10/08/2023]
Abstract
Foodborne microbial contamination (FMC) is the leading cause of food poisoning and foodborne illness. The foodborne microbial detection methods based on isothermal amplification have high sensitivity and short detection time, and functional nucleic acids (FNAs) could extend the detectable object of isothermal amplification to mycotoxins. Therefore, the strategy of FNAs-mediated isothermal amplification has been emergingly applied in biosensors for foodborne microbial contaminants detection, making biosensors more sensitive with lower cost and less dependent on nanomaterials for signal output. Here, the mechanism of six isothermal amplification technologies and their application in detecting FMC is firstly introduced. Then the strategy of FNAs-mediated isothermal amplification is systematically discussed from perspectives of FNAs' versatility including recognition elements (Aptamer, DNAzyme), programming tools (DNA tweezer, DNA walker and CRISPR-Cas) and signal units (G-quadruplex, FNAs-based nanomaterials). Finally, challenges and prospects are presented in terms of addressing the issue of nonspecific amplification reaction, developing better FNAs-based sensing elements and eliminating food matrix effects.
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Affiliation(s)
- Jie Zhou
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Biotechnology, Jiangnan University, Wuxi, 214122, China
| | - Teng-Yu Wang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Zhi Lan
- Wuxi Medical School, Jiangnan University, Wuxi 214122, China
| | - Han-Jie Yang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Xing-Jian Ye
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Rui Min
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Zhao-Hui Wang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Qing Huang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Jing Cao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Yu-E Gao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Wen-Long Wang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Xiu-Lan Sun
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Yi Zhang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
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4
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Valenzuela-Amaro HM, Aguayo-Acosta A, Meléndez-Sánchez ER, de la Rosa O, Vázquez-Ortega PG, Oyervides-Muñoz MA, Sosa-Hernández JE, Parra-Saldívar R. Emerging Applications of Nanobiosensors in Pathogen Detection in Water and Food. BIOSENSORS 2023; 13:922. [PMID: 37887115 PMCID: PMC10605657 DOI: 10.3390/bios13100922] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/23/2023] [Accepted: 10/03/2023] [Indexed: 10/28/2023]
Abstract
Food and waterborne illnesses are still a major concern in health and food safety areas. Every year, almost 0.42 million and 2.2 million deaths related to food and waterborne illness are reported worldwide, respectively. In foodborne pathogens, bacteria such as Salmonella, Shiga-toxin producer Escherichia coli, Campylobacter, and Listeria monocytogenes are considered to be high-concern pathogens. High-concern waterborne pathogens are Vibrio cholerae, leptospirosis, Schistosoma mansoni, and Schistosima japonicum, among others. Despite the major efforts of food and water quality control to monitor the presence of these pathogens of concern in these kinds of sources, foodborne and waterborne illness occurrence is still high globally. For these reasons, the development of novel and faster pathogen-detection methods applicable to real-time surveillance strategies are required. Methods based on biosensor devices have emerged as novel tools for faster detection of food and water pathogens, in contrast to traditional methods that are usually time-consuming and are unsuitable for large-scale monitoring. Biosensor devices can be summarized as devices that use biochemical reactions with a biorecognition section (isolated enzymes, antibodies, tissues, genetic materials, or aptamers) to detect pathogens. In most cases, biosensors are based on the correlation of electrical, thermal, or optical signals in the presence of pathogen biomarkers. The application of nano and molecular technologies allows the identification of pathogens in a faster and high-sensibility manner, at extremely low-pathogen concentrations. In fact, the integration of gold, silver, iron, and magnetic nanoparticles (NP) in biosensors has demonstrated an improvement in their detection functionality. The present review summarizes the principal application of nanomaterials and biosensor-based devices for the detection of pathogens in food and water samples. Additionally, it highlights the improvement of biosensor devices through nanomaterials. Nanomaterials offer unique advantages for pathogen detection. The nanoscale and high specific surface area allows for more effective interaction with pathogenic agents, enhancing the sensitivity and selectivity of the biosensors. Finally, biosensors' capability to functionalize with specific molecules such as antibodies or nucleic acids facilitates the specific detection of the target pathogens.
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Affiliation(s)
- Hiram Martin Valenzuela-Amaro
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Alberto Aguayo-Acosta
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Edgar Ricardo Meléndez-Sánchez
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Orlando de la Rosa
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | | | - Mariel Araceli Oyervides-Muñoz
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Juan Eduardo Sosa-Hernández
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Roberto Parra-Saldívar
- Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico; (H.M.V.-A.); (A.A.-A.); (E.R.M.-S.); (O.d.l.R.); (M.A.O.-M.)
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
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Tao Y, Zhao Y, Wang L, Huang J, Chen Y, Huang Q, Song B, Li HY, Chen J, Liu H. Flexible Amperometric Immunosensor Based on Colloidal Quantum Dots for Detecting the Myeloperoxidase (MPO) Systemic Inflammation Biomarker. BIOSENSORS 2023; 13:255. [PMID: 36832021 PMCID: PMC9954662 DOI: 10.3390/bios13020255] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Myeloperoxidase (MPO) has been demonstrated to be a biomarker of neutrophilic inflammation in various diseases. Rapid detection and quantitative analysis of MPO are of great significance for human health. Herein, an MPO protein flexible amperometric immunosensor based on a colloidal quantum dot (CQD)-modified electrode was demonstrated. The remarkable surface activity of CQDs allows them to bind directly and stably to the surface of proteins and to convert antigen-antibody specific binding reactions into significant currents. The flexible amperometric immunosensor provides quantitative analysis of MPO protein with an ultra-low limit of detection (LOD) (31.6 fg mL-1), as well as good reproducibility and stability. The detection method is expected to be applied in clinical examination, POCT (bedside test), community physical examination, home self-examination and other practical scenarios.
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Affiliation(s)
- Yanbing Tao
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yunong Zhao
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Le Wang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Jing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yan Chen
- CHINALLERGY Biotech Co., Ltd., Wuhan Institute of Biotechnology, 666 Gaoxin Road, Wuhan 430079, China
| | - Qing Huang
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Boxiang Song
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hua-Yao Li
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
- Wenzhou Institute of Advanced Manufacturing Technology, Huazhong University of Science and Technology, Wenzhou 325000, China
| | - Jianjun Chen
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Huan Liu
- School of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China
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Kakkar S, Gupta P, Kumar N, Kant K. Progress in Fluorescence Biosensing and Food Safety towards Point-of-Detection (PoD) System. BIOSENSORS 2023; 13:249. [PMID: 36832016 PMCID: PMC9953818 DOI: 10.3390/bios13020249] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/26/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
The detection of pathogens in food substances is of crucial concern for public health and for the safety of the natural environment. Nanomaterials, with their high sensitivity and selectivity have an edge over conventional organic dyes in fluorescent-based detection methods. Advances in microfluidic technology in biosensors have taken place to meet the user criteria of sensitive, inexpensive, user-friendly, and quick detection. In this review, we have summarized the use of fluorescence-based nanomaterials and the latest research approaches towards integrated biosensors, including microsystems containing fluorescence-based detection, various model systems with nano materials, DNA probes, and antibodies. Paper-based lateral-flow test strips and microchips as well as the most-used trapping components are also reviewed, and the possibility of their performance in portable devices evaluated. We also present a current market-available portable system which was developed for food screening and highlight the future direction for the development of fluorescence-based systems for on-site detection and stratification of common foodborne pathogens.
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Affiliation(s)
- Saloni Kakkar
- Institute of Microbial Technology (IMTECH), Council of Scientific and Industrial Research (CSIR), Chandigarh 160036, India
- Department of Biotechnology, Graphic Era (Deemed to be University), Dehradun 248002, India
| | - Payal Gupta
- Department of Biotechnology, Graphic Era (Deemed to be University), Dehradun 248002, India
| | - Navin Kumar
- Department of Biotechnology, Graphic Era (Deemed to be University), Dehradun 248002, India
| | - Krishna Kant
- Biomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain
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7
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Liu S, Zhao K, Huang M, Zeng M, Deng Y, Li S, Chen H, Li W, Chen Z. Research progress on detection techniques for point-of-care testing of foodborne pathogens. Front Bioeng Biotechnol 2022; 10:958134. [PMID: 36003541 PMCID: PMC9393618 DOI: 10.3389/fbioe.2022.958134] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 06/30/2022] [Indexed: 11/21/2022] Open
Abstract
The global burden of foodborne disease is enormous and foodborne pathogens are the leading cause of human illnesses. The detection of foodborne pathogenic bacteria has become a research hotspot in recent years. Rapid detection methods based on immunoassay, molecular biology, microfluidic chip, metabolism, biosensor, and mass spectrometry have developed rapidly and become the main methods for the detection of foodborne pathogens. This study reviewed a variety of rapid detection methods in recent years. The research advances are introduced based on the above technical methods for the rapid detection of foodborne pathogenic bacteria. The study also discusses the limitations of existing methods and their advantages and future development direction, to form an overall understanding of the detection methods, and for point-of-care testing (POCT) applications to accurately and rapidly diagnose and control diseases.
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Affiliation(s)
- Sha Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Kaixuan Zhao
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Meiyuan Huang
- Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Department of Pathology, Central South University, Zhuzhou, China
| | - Meimei Zeng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Wen Li
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
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Liang S, Sutham P, Wu K, Mallikarjunan K, Wang JP. Giant Magnetoresistance Biosensors for Food Safety Applications. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22155663. [PMID: 35957220 PMCID: PMC9371012 DOI: 10.3390/s22155663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/25/2022] [Accepted: 07/26/2022] [Indexed: 05/25/2023]
Abstract
Nowadays, the increasing number of foodborne disease outbreaks around the globe has aroused the wide attention of the food industry and regulators. During food production, processing, storage, and transportation, microorganisms may grow and secrete toxins as well as other harmful substances. These kinds of food contamination from microbiological and chemical sources can seriously endanger human health. The traditional detection methods such as cell culture and colony counting cannot meet the requirements of rapid detection due to some intrinsic shortcomings, such as being time-consuming, laborious, and requiring expensive instrumentation or a central laboratory. In the past decade, efforts have been made to develop rapid, sensitive, and easy-to-use detection platforms for on-site food safety regulation. Herein, we review one type of promising biosensing platform that may revolutionize the current food surveillance approaches, the giant magnetoresistance (GMR) biosensors. Benefiting from the advances of nanotechnology, hundreds to thousands of GMR biosensors can be integrated into a fingernail-sized area, allowing the higher throughput screening of food samples at a lower cost. In addition, combined with on-chip microfluidic channels and filtration function, this type of GMR biosensing system can be fully automatic, and less operator training is required. Furthermore, the compact-sized GMR biosensor platforms could be further extended to related food contamination and the field screening of other pathogen targets.
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Affiliation(s)
- Shuang Liang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Phanatchakorn Sutham
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA;
| | - Kai Wu
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455, USA
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA
| | - Kumar Mallikarjunan
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA;
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA;
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455, USA
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9
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Sandwich Fluorescence Detection of Foodborne Pathogen Staphylococcus aureus with CD Fluorescence Signal Amplification in Food Samples. Foods 2022; 11:foods11070945. [PMID: 35407032 PMCID: PMC8997861 DOI: 10.3390/foods11070945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/16/2022] [Accepted: 03/21/2022] [Indexed: 12/15/2022] Open
Abstract
Timely detection of Staphylococcus aureus (S. aureus) is critical because it can multiply to disease−causing levels in a matter of hours. Herein, a simple and sensitive DNA tetrahedral (Td) fluorescence signal amplifier with blue carbon quantum dots (bCDs) was prepared for sandwich detection of S. aureus. bCD was modified at the apex of Td, and an aptamer on Td was used to accurately identify and “adsorb” the amplifier to the surface of S. aureus. Atomic force microscopy (AFM) demonstrates the successful preparation of this signal amplifier. The fluorescence intensity emitted in this strategy increased 4.72 times. The strategy showed a stronger fluorescence intensity change, sensitivity (linear range of 7.22 × 100–1.44 × 109 CFU/mL with a LOD of 4 CFU/mL), and selectivity. The recovery rate in qualified pasteurized milk and drinking water samples was 96.54% to 104.72%. Compared with simple aptamer sandwich detection, these fluorescence signal amplifiers have improved fluorescence detection of S. aureus. Additionally, this fluorescent signal amplification strategy may be applied to the detection of other food pathogens or environmental microorganisms in the future.
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