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Han X, Song D, Xu W, Lu L, Zhu A, Long F. CRISPR/Cas12a powered air-displacement enhanced evanescent wave fluorescence fiber-embedded microfluidic biochip for nucleic acid amplification-free detection of Escherichia coli O157:H7. J Hazard Mater 2024; 469:134037. [PMID: 38521032 DOI: 10.1016/j.jhazmat.2024.134037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/02/2024] [Accepted: 03/12/2024] [Indexed: 03/25/2024]
Abstract
Simple yet ultrasensitive and contamination-free quantification of environmental pathogenic bacteria is in high demand. In this study, we present a portable clustered regularly interspaced short palindromic repeats-associated protein 12a (CRISPR/Cas12a) powered Air-displacement enhanced Evanescent wave fluorescence Fiber-embedded microfluidic Biochip (AEFB) for the high-frequency and nucleic acid amplification-free ultrasensitive detection of Escherichia coli O157:H7. The performance of AEFB was dramatically enhanced upon employing a simple air-solution displacement process. Theoretical assays demonstrated that air-solution displacement significantly enhances evanescent wave field intensity on the fiber biosensor surface and increases the V-number in tapered fiber biosensors. Consequently, light-matter interaction is strengthened, and fluorescence coupling and collection efficiency are improved, considerably enhancing sensitivity. By integrating the CRISPR biosensing mechanism, AEFB facilitated rapid, accurate, nucleic acid amplification-free detection of E.coli O157:H7 with polymerase chain reaction (PCR)-level sensitivity (176 cfu/mL). To validate its practicality, AEFB was used to detect E.coli O157:H7 in surface water and wastewater. Comparison with RT-PCR showed a strong linear relationship (R2 = 0.9871), indicating the excellent accuracy and reliability of this technology in real applications. AEFB is highly versatile and can be easily extended to detect other pathogenic bacteria, which will significantly promote the high-frequency assessment and early-warning of bacterial contamination in aquatic environments.
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Affiliation(s)
- Xiangzhi Han
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
| | - Dan Song
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
| | - Wenjuan Xu
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
| | - Laiya Lu
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China; State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China
| | - Anna Zhu
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China; State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China
| | - Feng Long
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China.
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Wang B, Liu L, Zhang H, Wang Z, Chen K, Wu B, Hu L, Zhou X, Liu L. A group-targeting biosensor for sensitive and rapid detection of quinolones in water samples. Anal Chim Acta 2024; 1301:342475. [PMID: 38553128 DOI: 10.1016/j.aca.2024.342475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/10/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Quinolones (QNs) widely exist in the environment due to their wide range of applications and poor metabolic properties, resulting in the generation and spread of resistance genes, posing a potential threat to human health. Traditional analytical methods cannot detect all broad ranges of QNs simultaneously. The development of facile, efficient and reliable method for quantification and assessment of the total QNs is a long-lasting challenge. RESULTS We hereby provide a simple, sensitive and instantaneous group-targeting biosensor for the detection of total QNs in environmental water samples. The biosensor is based on a group-specific antibodies with high affinity against QNs. Fluorescent labeled antibodies bound to the coated antigen modified on the surface of the transducer, and excited by the evanescent waves. The detected fluorescent signal is inversely proportional to the QNs concentration. This biosensor exhibited excellent performance with detection limits lower than 0.15 μg L-1 for all five QNs variants, and even lower than 0.075 μg L-1 for ciprofloxacin (CIP) and ofloxacin (OFL). Environmental water samples can be detected after simple pretreatment, and all detection steps can be completed in 10 min. The transducer has a high regenerative capacity and shows no significant signal degradation after two hundred detection cycles. The recoveries of QNs in a variety of wastewater range from 105 to 119%, confirming its application potential in the measurement of total QNs in reality. SIGNIFICANCE The biosensor can realize rapid and sensitive detection of total QNs in water samples by simple pretreatment, which overcomes the disadvantage of the traditional methods that require complex pretreatment and time-consuming, and pave the groundwork for expansive development centered around this technology.
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Affiliation(s)
- Bohan Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
| | - Lanhua Liu
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China.
| | - Haopeng Zhang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
| | - Zhiqiang Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
| | - Kang Chen
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
| | - Bo Wu
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
| | - Limin Hu
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China
| | - Xiaohong Zhou
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing, 100084, China
| | - Lanlan Liu
- Department of Pharmacy, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
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Jia Y, Chen S, Wang Q, Li J. Recent progress in biosensor regeneration techniques. Nanoscale 2024; 16:2834-2846. [PMID: 38291996 DOI: 10.1039/d3nr05456j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Biosensors are widely used in various applications, from medical diagnostics to environmental monitoring. Their widespread and continuous use necessitates regeneration methods to ensure cost-effectiveness and sustainability. In the realm of advancing human-centric bioelectronics for continuous monitoring, employing these sensors for real-time, in situ detection of biomarkers presents a considerable challenge. This mini-review examines diverse strategies utilized for the regeneration of biosensors, categorizing them based on their underlying mechanisms and discussing representative works. We explore methods ranging from surface engineering/re-functionalization, chemical treatments, allosteric regulation of bioreceptors, to manipulations of electric/magnetic fields, highlighting their working principles and exemplary studies. The advantages of each method, such as simplicity, high regeneration efficiency, and versatility, are discussed alongside their challenges, including degradation over cycles, limited applicability, and potential damage to sensors. As the demand for continuous and real-time biosensing escalates, the development of efficient and reliable regeneration strategies becomes essential. This mini-review offers an overview of the current landscape of biosensor regeneration, aiming to guide future research and innovations in this area.
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Affiliation(s)
- Yizhen Jia
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
| | - Shulin Chen
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
| | - Qi Wang
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
| | - Jinghua Li
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
- Chronic Brain Injury Program, The Ohio State University, Columbus, OH 43210, USA.
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Hu X, Wang Z, Ye X, Xie P, Liu Y. Analyzing MC-LR distribution characteristics in natural lakes by a novel fluorescence technology. Environ Pollut 2024; 342:123123. [PMID: 38081380 DOI: 10.1016/j.envpol.2023.123123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/08/2023] [Accepted: 12/06/2023] [Indexed: 01/26/2024]
Abstract
The death of aquatic and terrestrial organisms caused by cyanobacterial blooms has been a topic of considerable concern since the 19th century. Microcystin-LR (MC-LR) produced by cyanobacterial blooms threaten natural ecosystems and human health. Therefore, establishing an effective monitoring and early warning system to detect MC-LR in water bodies is crucial. However, rapidly and intuitively assessing the distribution traits of MC-LR in lakes is a challenging task due to the complexities and expenses associated with conventional detection methods. To overcome these technical limitations, we introduce a novel and effective method for evaluating the distribution of MC-LR in lakes. This method is achieved by using a fluorescence probe (BAD) technology, marking the first application of this technology in evaluating the distribution of MC-LR in natural lake environments. The probe BAD is endowed with unique functions through clever functionalization modification. Experimental results exhibit that BAD has different fluorescence signals at various lake sampling points. The correlation analysis of fluorescence data and physicochemical indicators determines that the fluorescence data of the probe exhibit good correlation with MC-LR, implying that BAD is capable of detecting MC-LR in lakes. Moreover, the introduction of fluorescence technology to achieve the intuitive distribution of MC-LR in the entire plateau lake. This study provides a new method for evaluating the distribution of MC-LR in plateau lakes. It opens a new avenue for exploring the relationship between cyanobacterial blooms and MC-LR in natural waters.
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Affiliation(s)
- Xiangyu Hu
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, PR China
| | - Zhaomin Wang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, PR China
| | - Xiao Ye
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, PR China
| | - Ping Xie
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, PR China
| | - Yong Liu
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, PR China.
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Yamin D, Uskoković V, Wakil AM, Goni MD, Shamsuddin SH, Mustafa FH, Alfouzan WA, Alissa M, Alshengeti A, Almaghrabi RH, Fares MAA, Garout M, Al Kaabi NA, Alshehri AA, Ali HM, Rabaan AA, Aldubisi FA, Yean CY, Yusof NY. Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria. Diagnostics (Basel) 2023; 13:3246. [PMID: 37892067 PMCID: PMC10606640 DOI: 10.3390/diagnostics13203246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/14/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023] Open
Abstract
Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, molecular techniques, and innovative approaches, highlighting their advantages, limitations, and potential future applications. By understanding the strengths and limitations of these technologies, researchers and healthcare professionals can make informed decisions in combating antibiotic resistance and improving patient outcomes.
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Affiliation(s)
- Dina Yamin
- Al-Karak Public Hospital, Karak 61210, Jordan;
- Institute for Research in Molecular Medicine, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, University Malaysia Kelantan, Kota Bharu 16100, Kelantan, Malaysia;
| | - Vuk Uskoković
- TardigradeNano LLC., Irvine, CA 92604, USA;
- Department of Mechanical Engineering, San Diego State University, San Diego, CA 92182, USA
| | - Abubakar Muhammad Wakil
- Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, University Malaysia Kelantan, Kota Bharu 16100, Kelantan, Malaysia;
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Maiduguri, Maiduguri 600104, Borno, Nigeria
| | - Mohammed Dauda Goni
- Public Health and Zoonoses Research Group, Faculty of Veterinary Medicine, University Malaysia Kelantan, Pengkalan Chepa 16100, Kelantan, Malaysia;
| | - Shazana Hilda Shamsuddin
- Department of Pathology, School of Medical Sciences, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia;
| | - Fatin Hamimi Mustafa
- Department of Electronic & Computer Engineering, Faculty of Electrical Engineering, University Teknologi Malaysia, Johor Bharu 81310, Johor, Malaysia;
| | - Wadha A. Alfouzan
- Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait;
- Microbiology Unit, Department of Laboratories, Farwania Hospital, Farwania 85000, Kuwait
| | - Mohammed Alissa
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia;
| | - Amer Alshengeti
- Department of Pediatrics, College of Medicine, Taibah University, Al-Madinah 41491, Saudi Arabia;
- Department of Infection Prevention and Control, Prince Mohammad Bin Abdulaziz Hospital, National Guard Health Affairs, Al-Madinah 41491, Saudi Arabia
| | - Rana H. Almaghrabi
- Pediatric Department, Prince Sultan Medical Military City, Riyadh 12233, Saudi Arabia;
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia;
| | - Mona A. Al Fares
- Department of Internal Medicine, King Abdulaziz University Hospital, Jeddah 21589, Saudi Arabia;
| | - Mohammed Garout
- Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia;
| | - Nawal A. Al Kaabi
- College of Medicine and Health Science, Khalifa University, Abu Dhabi 127788, United Arab Emirates;
- Sheikh Khalifa Medical City, Abu Dhabi Health Services Company (SEHA), Abu Dhabi 51900, United Arab Emirates
| | - Ahmad A. Alshehri
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia;
| | - Hamza M. Ali
- Department of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Madinah 41411, Saudi Arabia;
| | - Ali A. Rabaan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia;
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia
- Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
| | | | - Chan Yean Yean
- Department of Medical Microbiology & Parasitology, School of Medical Sciences, University Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Nik Yusnoraini Yusof
- Institute for Research in Molecular Medicine, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
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6
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Liu J, Xing Y, Lin Y, Xie Y, Zhou X. Effect of pretreatment approach on the ELISA-based detection of cyanotoxins in water: Analysis and application. Sci Total Environ 2023; 871:161988. [PMID: 36739018 DOI: 10.1016/j.scitotenv.2023.161988] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/30/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Common cyanotoxins, such as microcystins and nodularins, are produced by frequently occurring harmful cyanobacterial algal blooms in freshwater systems. The required routine monitoring of microcystins and nodularins in drinking water and ambient water demands cost-efficient and reliable enzyme-linked immunosorbent assay kits. We validated the performance of a self-produced broad-spectrum enzyme-linked immunosorbent assay kit and investigated two different methods of mitigating the matrix effects to elucidate the effect of the respective pretreatment approaches recommended by China and the United States on the quantitative detection of cyanotoxins in surface water. We found that the enzyme-linked immunosorbent assay kit achieved a detection limit of 0.15 μg/L with a linear detection range from 0.27 μg/L to 1.87 μg/L for microcystin-LR (the most studied and widely distributed cyanotoxin). The matrix effects could be mitigated both by dilution of water samples with an optimal dilution ratio and dilution of antibody with the buffer containing phosphate buffer solution (10×), bovine serum albumin (1 %) and ethylene diamine tetraacetic acid (0.5 %). In terms of the surface water samples being tested, the concentrations of microcystins and nodularins measured based on pretreatment approach recommended by the United States were 1- 5 times that measured based on pretreatment approach recommended by China, indicating that the pretreatment approach of China overlooks cyanotoxins. In addition, all the measured total microcystins and nodularins of the surface water samples were below the health advisory limit (1.6 μg/L) for microcystins in drinking water proposed by the United States Environmental Protection Agency for school-age children and adults. Our research could provide significant information for outbreak warnings and risk management of harmful cyanobacterial algal blooms.
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Affiliation(s)
- Jinchuan Liu
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, PR China; College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, PR China
| | - Yunpeng Xing
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, PR China
| | - Yongshu Lin
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, PR China
| | - Yangcun Xie
- Chinese Academy of Environmental Planning, Beijing 100043, PR China.
| | - Xiaohong Zhou
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, PR China.
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7
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Li B, Wang Q, Sohail M, Zhang X, He H, Lin L. Facilitating the determination of microcystin toxins with bio-inspired sensors. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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8
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Cai J, Liu Y, Shu X. Long-Period Fiber Grating Sensors for Chemical and Biomedical Applications. Sensors (Basel) 2023; 23:542. [PMID: 36617140 PMCID: PMC9823881 DOI: 10.3390/s23010542] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/02/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
Optical fiber biosensors (OFBS) are being increasingly proposed due to their intrinsic advantages over conventional sensors, including their compactness, potential remote control and immunity to electromagnetic interference. This review systematically introduces the advances of OFBS based on long-period fiber gratings (LPFGs) for chemical and biomedical applications from the perspective of design and functionalization. The sensitivity of such a sensor can be enhanced by designing the device working at or near the dispersion turning point, or working around the mode transition, or their combination. In addition, several common functionalization methods are summarized in detail, such as the covalent immobilization of 3-aminopropyltriethoxysilane (APTES) silanization and graphene oxide (GO) functionalization, and the noncovalent immobilization of the layer-by-layer assembly method. Moreover, reflective LPFG-based sensors with different configurations have also been introduced. This work aims to provide a comprehensive understanding of LPFG-based biosensors and to suggest some future directions for exploration.
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Tan J, Liu L, Li F, Chen Z, Chen GY, Fang F, Guo J, He M, Zhou X. Screening of Endocrine Disrupting Potential of Surface Waters via an Affinity-Based Biosensor in a Rural Community in the Yellow River Basin, China. Environ Sci Technol 2022; 56:14350-14360. [PMID: 36129370 DOI: 10.1021/acs.est.2c01323] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Overcoming the limitations of traditional analytical methods and developing technologies to continuously monitor environments and produce a comprehensive picture of potential endocrine-disrupting chemicals (EDCs) has been an ongoing challenge. Herein, we developed a portable nuclear receptor (NR)-based biosensor within 90 min to perform highly sensitive analyses of a broad range of EDCs in environmental water samples. Based on the specific binding of the fluorescence-labeled NRs with their ligands, the receptors were attached to the EDC-functionalized fiber surface by competing with EDCs in the samples. The biosensor emitted fluorescence due to the evanescent wave excitation, thereby resulting in a turn-off sensing mode. The biosensor showed a detection limit of 5 ng/L E2-binding activity equivalent (E2-BAE) and 93 ng/L T3-BAE. As a case study, the biosensor was used to map the estrogenic binding activities of surface waters obtained from a rural community in the Yellow River basin in China. When the results obtained were compared with those from the traditional yeast two-hybrid bioassay, a high correlation was observed. It is anticipated that the good universality and versatility exhibited by this biosensor for various EDCs, which is achieved by using different NRs, will significantly promote the continuous assessment of global EDCs.
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Affiliation(s)
- Jisui Tan
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
| | - Lanhua Liu
- School of Ecology and Environmental Science, Zhengzhou University, Zhengzhou 450001, China
| | - Fangxu Li
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhongli Chen
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, College of Environment and Ecology, Chongqing University, Chongqing 400030, China
| | - George Y Chen
- Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, Shenzhen University, Shenzhen 518060, China
| | - Fang Fang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, College of Environment and Ecology, Chongqing University, Chongqing 400030, China
| | - Jinsong Guo
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, College of Environment and Ecology, Chongqing University, Chongqing 400030, China
| | - Miao He
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
- National Engineering Research Center of Advanced Technology and Equipment for Water Environment Pollution Monitoring, Changsha 410205, China
| | - Xiaohong Zhou
- State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
- National Engineering Research Center of Advanced Technology and Equipment for Water Environment Pollution Monitoring, Changsha 410205, China
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Tian M, Wang J, Li C, Wang Z, Liu G, Lv E, Zhao X, Li Z, Cao D, Liu H, Zhang C, Xu S, Man B. Qualitative and quantitative detection of microcystin-LR based on SERS-FET dual-mode biosensor. Biosens Bioelectron 2022; 212:114434. [DOI: 10.1016/j.bios.2022.114434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 12/22/2022]
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Wu P, Ye X, Wang D, Gong F, Wei X, Xiang S, Zhang J, Kai T, Ding P. A novel CRISPR/Cas14a system integrated with 2D porphyrin metal-organic framework for microcystin-LR determination through a homogeneous competitive reaction. J Hazard Mater 2022; 424:127690. [PMID: 34799170 DOI: 10.1016/j.jhazmat.2021.127690] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/25/2021] [Accepted: 10/31/2021] [Indexed: 06/13/2023]
Abstract
Selective and sensitive detection of microcystin-LR (MC-LR) is of vital importance because of its high toxicity and broad distribution. Herein, a novel and versatile fluorescence sensor (Cas14-pMOFs fluorescence sensor) was developed by combining the CRISPR/Cas14a system with a 2D porphyrin metal-organic framework nanosheets (2D-pMOFs) for MC-LR determination. The designed CRISPR/Cas14a system was activated by the unbound complementary DNA (cDNA), which was positively correlated with MC-LR concentration. Furthermore, the activated Cas14a protein was utilized to indiscriminately cleave the FAM-labeled single-stranded DNA (ssDNA-FAM), which was pre-absorbed on Cu-TCPP(Fe) nanosheets. Because of the desorption of the cleaved ssDNA-FAM, the pre-quenched fluorescence signal was recovered. Owing to the excellent performance in quantifying cDNA using this Cas14-pMOFs fluorescence sensor with a limit of detection (LOD) of 0.12 nM, this Cas14-pMOFs fluorescence sensor was able to detect MC-LR in a range from 50 pg/mL to 1 μg/mL with the LOD of 19 pg/mL. This work not only provided a new insight for the exploration of fluorescence sensors based on 2D-pMOFs coupled with CRISPR/Cas14a, but also, demonstrated its universality in both nucleic acid and non-nucleic acid targets determination.
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Affiliation(s)
- Pian Wu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Xiaosheng Ye
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Danqi Wang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Fangjie Gong
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Xiaoqian Wei
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Shan Xiang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Jingwen Zhang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China
| | - Tianhan Kai
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China.
| | - Ping Ding
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan 410078, China.
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Rahman BMA, Viphavakit C, Chitaree R, Ghosh S, Pathak AK, Verma S, Sakda N. Optical Fiber, Nanomaterial, and THz-Metasurface-Mediated Nano-Biosensors: A Review. Biosensors (Basel) 2022; 12:bios12010042. [PMID: 35049670 PMCID: PMC8773603 DOI: 10.3390/bios12010042] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/03/2022] [Accepted: 01/10/2022] [Indexed: 05/22/2023]
Abstract
The increasing use of nanomaterials and scalable, high-yield nanofabrication process are revolutionizing the development of novel biosensors. Over the past decades, researches on nanotechnology-mediated biosensing have been on the forefront due to their potential application in healthcare, pharmaceutical, cell diagnosis, drug delivery, and water and air quality monitoring. The advancement of nanoscale science relies on a better understanding of theory, manufacturing and fabrication practices, and the application specific methods. The topology and tunable properties of nanoparticles, a part of nanoscale science, can be changed by different manufacturing processes, which separate them from their bulk counterparts. In the recent past, different nanostructures, such as nanosphere, nanorods, nanofiber, core-shell nanoparticles, nanotubes, and thin films, have been exploited to enhance the detectability of labelled or label-free biological molecules with a high accuracy. Furthermore, these engineered-materials-associated transducing devices, e.g., optical waveguides and metasurface-based scattering media, widened the horizon of biosensors over a broad wavelength range from deep-ultraviolet to far-infrared. This review provides a comprehensive overview of the major scientific achievements in nano-biosensors based on optical fiber, nanomaterials and terahertz-domain metasurface-based refractometric, labelled and label-free nano-biosensors.
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Affiliation(s)
- B. M. Azizur Rahman
- School of Mathematics, Computer Science and Engineering, University of London, London EC1V 0HB, UK; (S.V.); (N.S.)
- Correspondence:
| | - Charusluk Viphavakit
- International School of Engineering and Intelligent Control Automation of Process Systems Research Unit, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand; (C.V.); (A.K.P.)
| | - Ratchapak Chitaree
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand;
| | - Souvik Ghosh
- Department of Electronic and Electrical Engineering, University College London, Gower St., London WC1E 6AE, UK;
| | - Akhilesh Kumar Pathak
- International School of Engineering and Intelligent Control Automation of Process Systems Research Unit, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand; (C.V.); (A.K.P.)
| | - Sneha Verma
- School of Mathematics, Computer Science and Engineering, University of London, London EC1V 0HB, UK; (S.V.); (N.S.)
| | - Natsima Sakda
- School of Mathematics, Computer Science and Engineering, University of London, London EC1V 0HB, UK; (S.V.); (N.S.)
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand;
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Soares MS, Vidal M, Santos NF, Costa FM, Marques C, Pereira SO, Leitão C. Immunosensing Based on Optical Fiber Technology: Recent Advances. Biosensors (Basel) 2021; 11:bios11090305. [PMID: 34562895 PMCID: PMC8472567 DOI: 10.3390/bios11090305] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/25/2021] [Accepted: 08/27/2021] [Indexed: 12/12/2022]
Abstract
The evolution of optical fiber technology has revolutionized a variety of fields, from optical transmission to environmental monitoring and biomedicine, given their unique properties and versatility. For biosensing purposes, the light guided in the fiber core is exposed to the surrounding media where the analytes of interest are detected by different techniques, according to the optical fiber configuration and biofunctionalization strategy employed. These configurations differ in manufacturing complexity, cost and overall performance. The biofunctionalization strategies can be carried out directly on bare fibers or on coated fibers. The former relies on interactions between the evanescent wave (EW) of the fiber and the analyte of interest, whereas the latter can comprise plasmonic methods such as surface plasmon resonance (SPR) and localized SPR (LSPR), both originating from the interaction between light and metal surface electrons. This review presents the basics of optical fiber immunosensors for a broad audience as well as the more recent research trends on the topic. Several optical fiber configurations used for biosensing applications are highlighted, namely uncladded, U-shape, D-shape, tapered, end-face reflected, fiber gratings and special optical fibers, alongside practical application examples. Furthermore, EW, SPR, LSPR and biofunctionalization strategies, as well as the most recent advances and applications of immunosensors, are also covered. Finally, the main challenges and an outlook over the future direction of the field is presented.
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Reynoso EC, Laschi S, Palchetti I, Torres E. Advances in Antimicrobial Resistance Monitoring Using Sensors and Biosensors: A Review. Chemosensors 2021; 9:232. [DOI: 10.3390/chemosensors9080232] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The indiscriminate use and mismanagement of antibiotics over the last eight decades have led to one of the main challenges humanity will have to face in the next twenty years in terms of public health and economy, i.e., antimicrobial resistance. One of the key approaches to tackling antimicrobial resistance is clinical, livestock, and environmental surveillance applying methods capable of effectively identifying antimicrobial non-susceptibility as well as genes that promote resistance. Current clinical laboratory practices involve conventional culture-based antibiotic susceptibility testing (AST) methods, taking over 24 h to find out which medication should be prescribed to treat the infection. Although there are techniques that provide rapid resistance detection, it is necessary to have new tools that are easy to operate, are robust, sensitive, specific, and inexpensive. Chemical sensors and biosensors are devices that could have the necessary characteristics for the rapid diagnosis of resistant microorganisms and could provide crucial information on the choice of antibiotic (or other antimicrobial medicines) to be administered. This review provides an overview on novel biosensing strategies for the phenotypic and genotypic determination of antimicrobial resistance and a perspective on the use of these tools in modern health-care and environmental surveillance.
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