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Yang L, Yi W, Sun F, Xu M, Zeng Z, Bi X, Dong J, Xie Y, Li M. Application of Lab-on-Chip for Detection of Microbial Nucleic Acid in Food and Environment. Front Microbiol 2021; 12:765375. [PMID: 34803990 PMCID: PMC8600318 DOI: 10.3389/fmicb.2021.765375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/08/2021] [Indexed: 12/26/2022] Open
Abstract
Various diseases caused by food-borne or environmental pathogenic microorganisms have been a persistent threat to public health and global economies. It is necessary to regularly detect microorganisms in food and environment to prevent infection of pathogenic microorganisms. However, most traditional detection methods are expensive, time-consuming, and unfeasible in practice in the absence of sophisticated instruments and trained operators. Point-of-care testing (POCT) can be used to detect microorganisms rapidly on site and greatly improve the efficiency of microbial detection. Lab-on-chip (LOC) is an emerging POCT technology with great potential by integrating most of the experimental steps carried out in the laboratory into a single monolithic device. This review will primarily focus on principles and techniques of LOC for detection of microbial nucleic acid in food and environment, including sample preparation, nucleic acid amplification and sample detection.
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Affiliation(s)
- Liu Yang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wei Yi
- Department of Gynecology and Obstetrics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Fangfang Sun
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Mengjiao Xu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhan Zeng
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Xiaoyue Bi
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Jianping Dong
- Department of Infectious Diseases, Haidian Hospital, Beijing Haidian Section of Peking University Third Hospital, Beijing, China
| | - Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.,Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Minghui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.,Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
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Wan Q, Liu X, Zu Y. Oligonucleotide aptamers for pathogen detection and infectious disease control. Theranostics 2021; 11:9133-9161. [PMID: 34522231 PMCID: PMC8419047 DOI: 10.7150/thno.61804] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/04/2021] [Indexed: 12/21/2022] Open
Abstract
During an epidemic or pandemic, the primary task is to rapidly develop precise diagnostic approaches and effective therapeutics. Oligonucleotide aptamer-based pathogen detection assays and control therapeutics are promising, as aptamers that specifically recognize and block pathogens can be quickly developed and produced through simple chemical synthesis. This work reviews common aptamer-based diagnostic techniques for communicable diseases and summarizes currently available aptamers that target various pathogens, including the SARS-CoV-2 virus. Moreover, this review discusses how oligonucleotide aptamers might be leveraged to control pathogen propagation and improve host immune system responses. This review offers a comprehensive data source to the further develop aptamer-based diagnostics and therapeutics specific for infectious diseases.
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Affiliation(s)
| | | | - Youli Zu
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA
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Ayodele OO, Adesina AO, Pourianejad S, Averitt J, Ignatova T. Recent Advances in Nanomaterial-Based Aptasensors in Medical Diagnosis and Therapy. NANOMATERIALS (BASEL, SWITZERLAND) 2021; 11:932. [PMID: 33917467 PMCID: PMC8067492 DOI: 10.3390/nano11040932] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/25/2021] [Accepted: 03/30/2021] [Indexed: 02/07/2023]
Abstract
Rapid and accurate diagnosis of various biomarkers associated with medical conditions including early detection of viruses and bacteria with highly sensitive biosensors is currently a research priority. Aptamer is a chemically derived recognition molecule capable of detecting and binding small molecules with high specificity and its fast preparation time, cost effectiveness, ease of modification, stability at high temperature and pH are some of the advantages it has over traditional detection methods such as High Performance Liquid Chromatography (HPLC), Enzyme-linked Immunosorbent Assay (ELISA), Polymerase Chain Reaction (PCR). Higher sensitivity and selectivity can further be achieved via coupling of aptamers with nanomaterials and these conjugates called "aptasensors" are receiving greater attention in early diagnosis and therapy. This review will highlight the selection protocol of aptamers based on Traditional Systematic Evolution of Ligands by EXponential enrichment (SELEX) and the various types of modified SELEX. We further identify both the advantages and drawbacks associated with the modified version of SELEX. Furthermore, we describe the current advances in aptasensor development and the quality of signal types, which are dependent on surface area and other specific properties of the selected nanomaterials, are also reviewed.
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Affiliation(s)
| | | | | | | | - Tetyana Ignatova
- Nanoscience Department, The Joint School of Nanoscience & Nanoengineering, University of North Carolina, Greensboro, NC 27401, USA; (O.O.A.); (A.O.A.); (S.P.); (J.A.)
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Han X, Liu Y, Yin J, Yue M, Mu Y. Microfluidic devices for multiplexed detection of foodborne pathogens. Food Res Int 2021; 143:110246. [PMID: 33992358 DOI: 10.1016/j.foodres.2021.110246] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 02/02/2021] [Accepted: 02/16/2021] [Indexed: 01/10/2023]
Abstract
The global burden of foodborne diseases is substantial and foodborne pathogens are the major cause for human illnesses. In order to prevent the spread of foodborne pathogens, detection methods are constantly being updated towards rapid, portable, inexpensive, and multiplexed on-site detection. Due to the nature of the small size and low volume, microfluidics has been applied to rapid, time-saving, sensitive, and portable devices to meet the requirements of on-site detection. Simultaneous detection of multiple pathogens is another key parameter to ensure food safety. Multiplexed detection technology, including microfluidic chip design, offers a new opportunity to achieve this goal. In this review, we introduced several sample preparation and corresponding detection methods on microfluidic devices for multiplexed detection of foodborne pathogens. In the sample preparation section, methods of cell capture and enrichment, as well as nucleic acid sample preparation, were described in detail, and in the section of detection methods, amplification, immunoassay, surface plasmon resonance and impedance spectroscopy were exhaustively illustrated. The limitations and advantages of all available experimental options were also summarized and discussed in order to form a comprehensive understanding of cutting-edge technologies and provide a comparative assessment for future investigation and in-field application.
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Affiliation(s)
- Xiaoying Han
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310023, PR China; College of Life Sciences, Zhejiang University, Hangzhou 310058, PR China
| | - Yuanhui Liu
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310023, PR China; College of Life Sciences, Zhejiang University, Hangzhou 310058, PR China
| | - Juxin Yin
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310023, PR China
| | - Min Yue
- Department of Veterinary Medicine & Institute of Preventive Veterinary Sciences, Zhejiang University College of Animal Sciences, Hangzhou 310058, PR China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, PR China; Hainan Institute of Zhejiang University, Sanya 572025, PR China.
| | - Ying Mu
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310023, PR China.
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Wang P, Sun Y, Li X, Wang L, Xu Y, He L, Li G. Recent advances in dual recognition based surface enhanced Raman scattering for pathogenic bacteria detection: A review. Anal Chim Acta 2021; 1157:338279. [PMID: 33832584 DOI: 10.1016/j.aca.2021.338279] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 12/16/2022]
Abstract
Rapid and reliable detection of pathogenic bacteria at the early stage represents a highly topical research area for food safety and public health. Although culture based method is the gold standard method for bacteria detection, recent techniques have promoted the development of alternative methods, such as surface enhanced Raman scattering (SERS). SERS provides additional advantages of high speed, simultaneous detection and characterization, multiplex analysis, and comparatively low cost. However, conventional SERS methods for bacteria detection are facing limitations of low sensitivity, susceptible to matrix interference, and poor accuracy. In recent years, specific detection of pathogenic bacteria with dual recognition based SERS methods has attracted increasing attentions. These methods include two steps recognition of target bacteria, and integrate the functions of target separation and detection. Considering their merits of excellent specificity, ultrahigh sensitivity, multiplex detection capability, and potential for on-site applications, these methods are promising alternatives for rapid and reliable detection of pathogenic bacteria. Herein, this review aims to summarize the recent advances in dual recognition based SERS methods for specific detection of pathogenic bacteria. Their advantages and limitations are discussed, and further perspectives are tentatively given. This review provides new insights into the application of SERS as a reliable tool for pathogenic bacteria detection.
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Affiliation(s)
- Panxue Wang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Yan Sun
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Xiang Li
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Li Wang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Ying Xu
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Lili He
- Department of Food Science, University of Massachusetts Amherst, 102 Holdsworth Way, MA, 01003, USA
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China.
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