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Kadadou D, Tizani L, Alsafar H, Hasan SW. Analytical methods for determining environmental contaminants of concern in water and wastewater. MethodsX 2024; 12:102582. [PMID: 38357632 PMCID: PMC10864661 DOI: 10.1016/j.mex.2024.102582] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/22/2024] [Indexed: 02/16/2024] Open
Abstract
Control and prevention of environmental pollution have emerged as paramount global concerns. Anthropogenic activities, such as industrial discharges, agricultural runoff, and improper waste disposal, introduce a wide range of contaminants into various ecosystems. These pollutants encompass organic and inorganic compounds, particulates, microorganisms, and disinfection by-products, posing severe threats to human health, ecosystems, and the environment. Effective monitoring methods are indispensable for assessing environmental quality, identifying pollution sources, and implementing remedial measures. This paper suggests that the development and utilization of highly advanced analytical tools are both essential for the analysis of contaminants in water samples, presenting a foundational hypothesis for the review. This paper comprehensively reviews the development and utilization of highly advanced analytical tools which is mandatory for the analysis of contaminants in water samples. Depending on the specific pollutants being studied, the choice of analytical methods widely varies. It also reveals insights into the diverse applications and effectiveness of these methods in assessing water quality and contaminant levels. By emphasizing the critical role of the reviewed monitoring methods, this review seeks to deepen the understanding of pollution challenges and inspire innovative monitoring solutions that contribute to a cleaner and more sustainable global environment.•Urgent global concerns: control and prevention of pollution from diverse sources.•Varied contaminants, diverse methods: comprehensive review of analytical tools.•Inspiring a sustainable future: innovative monitoring for a cleaner environment.
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Affiliation(s)
- Dana Kadadou
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Lina Tizani
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical and Petroleum Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Emirates Bio-research Center, Ministry of Interior, Abu Dhabi, United Arab Emirates
| | - Shadi W. Hasan
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical and Petroleum Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
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2
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Lee SY, Oh SW. Point-of-Care Diagnostic System for Viable Salmonella Species via Improved Propidium Monoazide and Recombinase Polymerase Amplification Based Nucleic Acid Lateral Flow. Diagnostics (Basel) 2024; 14:831. [PMID: 38667476 PMCID: PMC11049151 DOI: 10.3390/diagnostics14080831] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Salmonella species are prominent foodborne microbial pathogens transmitted through contaminated food or water and pose a significant threat to human health. Accurate and rapid point-of-care (POC) diagnosis is gaining attention in effectively preventing outbreaks of foodborne disease. However, the presence of dead bacteria can interfere with an accurate diagnosis, necessitating the development of methods for the rapid, simple, and efficient detection of viable bacteria only. Herein, we used an improved propidium monoazide (PMAxx) to develop a nucleic acid lateral flow (NALF) assay based on recombinase polymerase amplification (RPA) to differentiate viable Salmonella Typhimurium. We selected an RPA primer set targeting the invA gene and designed a probe for NALF. RPA-based NALF was optimized for temperature (30-43 °C), time (1-25 min), and endonuclease IV concentration (0.025-0.15 unit/µL). PMAxx successfully eliminated false-positive results from dead S. Typhimurium, enabling the accurate detection of viable S. Typhimurium with a detection limit of 1.11 × 102 CFU/mL in pure culture. The developed method was evaluated with spiked raw chicken breast and milk with analysis completed within 25 min at 39 °C. This study has potential as a tool for the POC diagnostics of viable foodborne pathogens with high specificity, sensitivity, rapidity, and cost-effectiveness.
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Affiliation(s)
| | - Se-Wook Oh
- Department of Food and Nutrition, Kookmin University, Seoul 136-702, Republic of Korea;
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Nnadozie CF, Ngoni N. A method of recovering the very low concentration of pathogens in river water by combining centrifugation and membrane filtration. MethodsX 2023; 11:102291. [PMID: 37560404 PMCID: PMC10407429 DOI: 10.1016/j.mex.2023.102291] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023] Open
Abstract
Waterborne pathogens present major public health concerns because of the associated high mortality, morbidity and cost of treatment. Consumption of and contact with water contaminated by faeces is a significant risk factor for transmitting these organisms to humans. Their detection in a water sample is critical to ascertain potential risks to humans. They are relatively low in concentrations in surface waters, making their detection a challenge. Campylobacter is targeted here because it is one of the leading causes of enteric diseases globally, and consensus on the superiority of centrifugation over filtration, and vice versa, to recover Campylobacter spp. from river water samples for detection, has yet to be. Therefore, for this study river water sample was processed by combining both methods in a single set-up to concentrate Campylobacter spp. cells from water samples. This method of combining centrifugation and filtration can be expanded to other bacterial waterborne pathogens of public health importance.•Concentrating cells by centrifugation (14,000 × g for 30 min) to collect the pellets, followed by membrane filtration (using 0.45 µm) of the supernatant to trap any remaining suspended cells, and then pooling both pellet and residue presents an effective method for obtaining a satisfactory quantitative recovery of waterborne pathogens, such as Campylobacter spp. from environmental waters.•This is a critical need for quantitative microbial risk assessment studies.
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Affiliation(s)
- Chika F. Nnadozie
- Institute for Water Research, Rhodes University, P.O Box 94, Grahamstown 6140, South Africa
| | - Nandipha Ngoni
- Institute for Water Research, Rhodes University, P.O Box 94, Grahamstown 6140, South Africa
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Wang H, Jing Y, Yu J, Ma B, Sui M, Zhu Y, Dai L, Yu S, Li M, Wang L. Micro/nanorobots for remediation of water resources and aquatic life. Front Bioeng Biotechnol 2023; 11:1312074. [PMID: 38026904 PMCID: PMC10666170 DOI: 10.3389/fbioe.2023.1312074] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023] Open
Abstract
Nowadays, global water scarcity is becoming a pressing issue, and the discharge of various pollutants leads to the biological pollution of water bodies, which further leads to the poisoning of living organisms. Consequently, traditional water treatment methods are proving inadequate in addressing the growing demands of various industries. As an effective and eco-friendly water treatment method, micro/nanorobots is making significant advancements. Based on researches conducted between 2019 and 2023 in the field of water pollution using micro/nanorobots, this paper comprehensively reviews the development of micro/nanorobots in water pollution control from multiple perspectives, including propulsion methods, decontamination mechanisms, experimental techniques, and water monitoring. Furthermore, this paper highlights current challenges and provides insights into the future development of the industry, providing guidance on biological water pollution control.
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Affiliation(s)
- Haocheng Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Yizhan Jing
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Jiuzheng Yu
- Oil & Gas Technology Research Institute, PetroChina Changqing Oilfield Company, Xi’an, China
| | - Bo Ma
- State Engineering Laboratory of Exploration and Development of Low-Permeability Oil & Gas Field, Xi’an, China
| | - Mingyang Sui
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Yanhe Zhu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Lizhou Dai
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
| | - Shimin Yu
- College of Engineering, Ocean University of China, Qingdao, China
| | - Mu Li
- Department of Pharmacy, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lin Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
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Du M, Ma J, Zhang Z, Wu G, Wu J, Wang H, Xie X, Wang C. Direct, ultrafast, and sensitive detection of environmental pathogenic microorganisms based on a graphene biosensor. Anal Chim Acta 2023; 1279:341810. [PMID: 37827618 DOI: 10.1016/j.aca.2023.341810] [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: 06/14/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 10/14/2023]
Abstract
Pathogenic microorganisms in the environment pose a serious threat to global human health. This study developed a reduced graphene oxide (rGO)-field effect transistor (FET) biosensor to realize the rapid and sensitive detection of pathogenic microorganisms. The rGO-FET sensors were prepared by in-situ thermal reduction method, and biorecognition elements were immobilized using a crosslinking agent to realize the surface functionalization of rGO. The rGO-FET biosensors can detect Escherichia coli O157:H7 as low as 1.4 CFU mL-1 within 46 s. The normalized current response was linearly correlated with E. coli concentration in the range of 1.4-1.4 × 107 CFU mL-1. The normalized current response of E. coli O157:H7 was about an order of magnitude higher than those of other microorganisms, indicating that the biosensor has good specificity. The current loss rates of the unmodified rGO-FET sensors and the biosensors modified with anti-E. coli O157:H7 after 30 days of storage at 4 °C were approximately 8% and 15%, respectively. Most importantly, the rGO-FET biosensors can directly detect real samples without pretreatment. Compared with other technologies, the rGO-FET biosensors can detect pathogenic microorganisms with a wider linear range in a shorter time, which is of great importance for the rapid warning and control of pathogenic microorganisms in the environment.
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Affiliation(s)
- Manman Du
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin, 300072, China; Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China
| | - Jinbiao Ma
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin, 300072, China
| | - Zhiwei Zhang
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China
| | - Guangzu Wu
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China
| | - Jianguo Wu
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China; School of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China
| | - Hao Wang
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China; School of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China
| | - Xinwu Xie
- Medical Support Technology Research Department, Systems Engineering Institute, Academy of Military Sciences, People's Liberation Army, Tianjin, 300161, China; National Bio-Protection Engineering Center, Tianjin, 300161, China.
| | - Can Wang
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin, 300072, China.
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Zhou Q, Natarajan B, Kannan P. Nanostructured biosensing platforms for the detection of food- and water-borne pathogenic Escherichia coli. Anal Bioanal Chem 2023:10.1007/s00216-023-04731-6. [PMID: 37169938 DOI: 10.1007/s00216-023-04731-6] [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] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
Pathogenic bacterial infection is one of the principal causes affecting human health and ecosystems. The accurate identification of bacteria in food and water samples is of significant interests to maintain safety and health for humans. Culture-based tests are practically tedious and may produce false-positive results, while viable but non-culturable microorganisms (NCMs) cannot be retrieved. Thus, it requires fast, reliable, and low-cost detection strategies for on-field analysis and point-of-care (POC) monitoring. The standard detection methods such as nucleic acid analysis (RT-PCR) and enzyme-linked immunosorbent assays (ELISA) are still challenging in POC practice due to their time-consuming (several hours to days) and expensive laboratory operations. The optical (surface plasmon resonance (SPR), fluorescence, and surface-enhanced Raman scattering (SERS)) and electrochemical-based detection of microbes (early stage of infective diseases) have been considered as alternative routes in the emerging world of nanostructured biosensing since they can attain a faster and concurrent screening of several pathogens in real samples. Moreover, optical and electrochemical detection strategies are opening a new route for the ability of detecting pathogens through the integration of cellphones, which is well fitted for POC analysis. This review article covers the current state of sensitive mechanistic approaches for the screening and detection of Escherichia coli O157:H7 (E. coli) pathogens in food and water samples, which can be potentially applied in clinical and environmental monitoring.
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Affiliation(s)
- Qiang Zhou
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, Zhejiang Province, 314001, People's Republic of China
| | - Bharathi Natarajan
- College of Medicine, Jiaxing University, Jiaxing, Zhejiang Province, 314001, People's Republic of China.
| | - Palanisamy Kannan
- Department of Endocrinology, First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 Zhonghuan South Road, Jiaxing, Zhejiang Province, 314001, People's Republic of China.
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Garzarelli V, Chiriacò MS, Cereda M, Gigli G, Ferrara F. Ultrasensitive qPCR platform for rapid detection of bacterial contamination of raw biological samples at the point of care. Heliyon 2023; 9:e16229. [PMID: 37234630 PMCID: PMC10205631 DOI: 10.1016/j.heliyon.2023.e16229] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 05/07/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Contamination of cell cultures can result in a significant loss of precious biological material, particularly in long-term processes including amplification of chimeric antigen receptors (CAR)-T cells and differentiation of patient-derived stem cells, for therapeutic purposes. Bacterial contamination can also lead to more complex conditions such as sepsis which can cause morbidity and mortality, despite strict controls and good laboratory/manufacturing practices in the manipulation of complex biological samples such as blood used in autologous and allogeneic stem cells transplantation. The current standard method to identify biological risk is the set-up of microbial cultures, which can be time consuming with the likelihood of wasting large amounts of reagents in the event of contamination. Real-Time Polymerase Chain Reaction (qPCR) is a molecular method able to detect biological agents in a highly sensitive and specific way and in a short time. However, qPCR assays require complex DNA/RNA purification steps and expensive benchtop instruments, which may not always be available. This paper reports an extraction-free and low-volume protocol for qPCR in a standard instrument, which has been demonstrated to be effective on both Gram-positive (Gram+) and Gram-negative (Gram-) bacteria. Detection has been obtained from spiked cell culture samples, reaching a limit of detection (LOD) of 1 colony forming unit (CFU)/ml. To demonstrate the high potential of this optimized procedure, the same samples were also tested on a Point-Of-Care platform, which includes a cartridge with micro-chambers and a compact instrument, capable of performing qPCR with the same efficiency. Staphylococcus aureus (Gram+) was selected as the target for a proof of concept, achieving a LOD of 1 CFU/ml also on the portable device. The availability of these results paves the way for a simplified protocol for DNA extraction and amplification.
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Affiliation(s)
- Valeria Garzarelli
- University of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy
- CNR NANOTEC – Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
| | | | - Marco Cereda
- STMicroelectronics S.r.l., via Olivetti 2, 20864, Agrate Brianza, Italy
| | - Giuseppe Gigli
- University of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy
- CNR NANOTEC – Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
| | - Francesco Ferrara
- CNR NANOTEC – Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
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Manzanas C, Morrison E, Kim YS, Alipanah M, Adedokun G, Jin S, Osborne TZ, Fan ZH. Molecular testing devices for on-site detection of E. coli in water samples. Sci Rep 2023; 13:4245. [PMID: 36918634 PMCID: PMC10013241 DOI: 10.1038/s41598-023-31208-4] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/08/2023] [Indexed: 03/16/2023] Open
Abstract
Escherichia coli (E. coli) cells are present in fecal materials that can be the main source for disease-causing agents in water. As a result, E. coli is recommended as a water quality indicator. We have developed an innovative platform to detect E. coli for monitoring water quality on-site by integrating paper-based sample preparation with nucleic acid isothermal amplification. The platform carries out bacterial lysis and DNA enrichment onto a paper pad through ball-based valves for fluid control, with no need of laboratory equipment, followed by loop-mediated isothermal amplification (LAMP) in a battery-operated coffee mug, and colorimetric detection. We have used the platform to detect E. coli in environmental water samples in about 1 h, with a limit of quantitation of 0.2 CFU/mL, and 3 copies per reaction. The platform was confirmed for detecting multiple E. coli strains, and for water samples of different salt concentrations. We validated the functions of the platform by analyzing recreational water samples collected near the Atlantic Ocean that contain different concentrations of salt and bacteria.
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Affiliation(s)
- Carlos Manzanas
- Interdisciplinary Microsystems Group, Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116250, Gainesville, FL, 32611, USA
| | - Elise Morrison
- Department of Environmental Engineering Sciences, University of Florida, P.O. Box 116580, Gainesville, FL, 32611, USA.
| | - Young S Kim
- Department of Molecular Genetics and Microbiology, University of Florida, PO Box 100266, Gainesville, FL, 32610, USA
| | - Morteza Alipanah
- Interdisciplinary Microsystems Group, Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116250, Gainesville, FL, 32611, USA
| | - George Adedokun
- Interdisciplinary Microsystems Group, Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116250, Gainesville, FL, 32611, USA
| | - Shouguang Jin
- Department of Molecular Genetics and Microbiology, University of Florida, PO Box 100266, Gainesville, FL, 32610, USA
| | - Todd Z Osborne
- Whitney Laboratory of Marine Bioscience, University of Florida, P.O. Box 116580, St. Augustine, FL, 32080, USA.
- Soil, Water, and Ecosystem Sciences Department, University of Florida, P.O. Box 110290, Gainesville, FL, 32611, USA.
| | - Z Hugh Fan
- Interdisciplinary Microsystems Group, Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116250, Gainesville, FL, 32611, USA.
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, P.O. Box 116131, Gainesville, FL, 32611, USA.
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Bruce N, Farrell F, Xie E, Scullion MG, Haughey AM, Gu E, Dawson MD, Laurand N. MicroLED biosensor with colloidal quantum dots and smartphone detection. Biomed Opt Express 2023; 14:1107-1118. [PMID: 36950244 PMCID: PMC10026578 DOI: 10.1364/boe.478276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/18/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
A fluorescence sensor with the capability for spatially multiplexed measurements utilizing smartphone detection is presented. Bioconjugated quantum dots are used as the fluorescent tag and are excited using a blue-emitting microLED (µLED). The 1-dimensional GaN µLED array is butt-coupled to one edge of the glass slide to take advantage of total internal reflection fluorescence (TIRF) principles. The bioassays on the top surface of the glass waveguide are excited and the resultant fluorescence is detected with the smartphone. The red, green, and blue channels of the digital image are utilized to spectrally separate the excitation light from the fluorescence for analysis. Using a biotin-functionalized glass slide as proof of principle, we have shown that streptavidin conjugated quantum dots can be detected down to a concentration of 8 nM.
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Affiliation(s)
- Natalie Bruce
- Institute of Photonics, Department of Physics, SUPA, University of Strathclyde, Glasgow, UK
- Fraunhofer Centre for Applied Photonics, 99 George Street, Glasgow, UK
| | - Francesca Farrell
- Institute of Photonics, Department of Physics, SUPA, University of Strathclyde, Glasgow, UK
| | - Enyuan Xie
- Institute of Photonics, Department of Physics, SUPA, University of Strathclyde, Glasgow, UK
| | - Mark G. Scullion
- Fraunhofer Centre for Applied Photonics, 99 George Street, Glasgow, UK
| | | | - Erdan Gu
- Institute of Photonics, Department of Physics, SUPA, University of Strathclyde, Glasgow, UK
| | - Martin D. Dawson
- Institute of Photonics, Department of Physics, SUPA, University of Strathclyde, Glasgow, UK
- Fraunhofer Centre for Applied Photonics, 99 George Street, Glasgow, UK
| | - Nicolas Laurand
- Institute of Photonics, Department of Physics, SUPA, University of Strathclyde, Glasgow, UK
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Thanigaivel S, Vickram S, Dey N, Jeyanthi P, Subbaiya R, Kim W, Govarthanan M, Karmegam N. Ecological disturbances and abundance of anthropogenic pollutants in the aquatic ecosystem: Critical review of impact assessment on the aquatic animals. Chemosphere 2023; 313:137475. [PMID: 36528154 DOI: 10.1016/j.chemosphere.2022.137475] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 07/07/2022] [Revised: 11/02/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Anthropogenic toxins are discharged into the environment and distributed through a variety of environmental matrices. Trace contaminant detection and analysis has advanced dramatically in recent decades, necessitating further specialized technique development. These pollutants can be mobile and persistent in small amounts in the environment, and ecological receptors will interact with it. Despite the fact that few researches have been undertaken on invertebrate exposure, accumulation, and biological implications, it is apparent that a wide range of pollutants can accumulate in the tissues of aquatic insects, earthworms, amphipod crustaceans, and mollusks. Due to long-term stability during long-distance transit, a number of chemical and microbiological agents that were not previously deemed pollutants have been found in various environmental compartments. The uptake of such pollutants by the aquatic organism is done through the process of bioaccumulation when dangerous compounds accumulate in living beings while biomagnification is the process of a pollutant becoming more hazardous as it moves up the trophic chain. Organic and metal pollution harms animals of every species studied so far, from bacteria to phyla in between. The environmental protection agency says these poisons harm humans as well as a variety of aquatic organisms when the water quality is sacrificed in typical wastewater treatment systems. Contrary to popular belief, treated effluents discharged into aquatic bodies contain considerable levels of Anthropogenic contaminants. This evolution necessitates a more robust and recent advancement in the field of remediation and their techniques to completely discharge the various organic and inorganic contaminants.
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Affiliation(s)
- Sundaram Thanigaivel
- Department of Biotechnology, Faculty of Science & Humanities, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603 203, India
| | - Sundaram Vickram
- Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha Nagar, Thandalam, Chennai, 602 105, Tamil Nadu, India
| | - Nibedita Dey
- Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha Nagar, Thandalam, Chennai, 602 105, Tamil Nadu, India
| | - Palanivelu Jeyanthi
- Department of Biotechnology, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600 062, India
| | - Ramasamy Subbaiya
- Department of Biological Sciences, School of Mathematics and Natural Sciences, The Copperbelt University, Riverside, Jambo Drive, P O Box 21692, Kitwe, Zambia
| | - Woong Kim
- Department of Environmental Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.
| | - Muthusamy Govarthanan
- Department of Environmental Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Natchimuthu Karmegam
- PG and Research Department of Botany, Government Arts College (Autonomous), Salem, 636 007, Tamil Nadu, India.
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Okpara EC, Ajiboye TO, Onwudiwe DC, Wojuola OB. Optical and Electrochemical Techniques for Point-of-Care Water Quality Monitoring: A review. Results in Chemistry 2022. [DOI: 10.1016/j.rechem.2022.100710] [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: 12/14/2022] Open
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Chauhan S, Dahiya D, Sharma V, Khan N, Chaurasia D, Nadda AK, Varjani S, Pandey A, Bhargava PC. Advances from conventional to real time detection of heavy metal(loid)s for water monitoring: An overview of biosensing applications. Chemosphere 2022; 307:136124. [PMID: 35995194 DOI: 10.1016/j.chemosphere.2022.136124] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/02/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
The rapid growth of the industrial sector has expedited the accumulation of heavy metal(loid)s in the environment at hazardous levels. The elements such as arsenic, lead, mercury, cadmium and chromium are lethal in terms of toxicity with severe health impacts. With issues like water scarcity, limitations in wastewater treatment, and costs pertaining to detection in environmental matrices; their rapid and selective detection for reuse of effluents is of the utmost priority. Biosensors are the futuristic tool for the accurate qualitative and quantitative analysis of a specific analyte and integrate biotechnology, microelectronics and nanotechnology to fabricate a miniaturized device without compromising the sensitivity, specificity and accuracy. The characteristic features of supporting matrix largely affect the biosensing ability of the device and incorporation of highly sensitive and durable metal organic frameworks (MOFs) are reported to enhance the efficiency of advanced biosensors. Electrochemical biosensors are among the most widely developed biosensors for the detection of heavy metal(loids), while direct electron transfer approach from the recognition element to the electrode has been found to decrease the chances of interference. This review provides an insight into the recent progress in biosensor technologies for the detection of prevalent heavy metal(loid)s; using advanced support systems such as functional metal-based nanomaterials, carbon nanotubes, quantum dots, screen printed electrodes, glass beads etc. The review also delves critically in comparison of various techno-economic studies and the latest advances in biosensor technology.
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Affiliation(s)
- Shraddha Chauhan
- Aquatic Toxicology Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, Uttar Pradesh, 226 001, India
| | - Digvijay Dahiya
- Department of Biotechnology, National Institute of Technology, Andhra Pradesh Tadepalligudem, 534101, India
| | - Vikas Sharma
- Aquatic Toxicology Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, Uttar Pradesh, 226 001, India
| | - Nawaz Khan
- Aquatic Toxicology Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, Uttar Pradesh, 226 001, India
| | - Deepshi Chaurasia
- Aquatic Toxicology Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, Uttar Pradesh, 226 001, India
| | - Ashok Kumar Nadda
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173 234, India
| | | | - Ashok Pandey
- Centre for Innovation and Translational Research, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, Uttar Pradesh, 226001, India; Centre for Energy and Environmental Sustainability, Lucknow, Uttar Pradesh, 226029, India; Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248007, Uttarakhand, India
| | - Preeti Chaturvedi Bhargava
- Aquatic Toxicology Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow, Uttar Pradesh, 226 001, India.
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Ngashangva L, Hemdan BA, El-Liethy MA, Bachu V, Minteer SD, Goswami P. Emerging Bioanalytical Devices and Platforms for Rapid Detection of Pathogens in Environmental Samples. Micromachines (Basel) 2022; 13:mi13071083. [PMID: 35888900 PMCID: PMC9321031 DOI: 10.3390/mi13071083] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 02/05/2023]
Abstract
The development of robust bioanalytical devices and biosensors for infectious pathogens is progressing well with the advent of new materials, concepts, and technology. The progress is also stepping towards developing high throughput screening technologies that can quickly identify, differentiate, and determine the concentration of harmful pathogens, facilitating the decision-making process for their elimination and therapeutic interventions in large-scale operations. Recently, much effort has been focused on upgrading these analytical devices to an intelligent technological platform by integrating them with modern communication systems, such as the internet of things (IoT) and machine learning (ML), to expand their application horizon. This review outlines the recent development and applications of bioanalytical devices and biosensors to detect pathogenic microbes in environmental samples. First, the nature of the recent outbreaks of pathogenic microbes such as foodborne, waterborne, and airborne pathogens and microbial toxins are discussed to understand the severity of the problems. Next, the discussion focuses on the detection systems chronologically, starting with the conventional methods, advanced techniques, and emerging technologies, such as biosensors and other portable devices and detection platforms for pathogens. Finally, the progress on multiplex assays, wearable devices, and integration of smartphone technologies to facilitate pathogen detection systems for wider applications are highlighted.
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Affiliation(s)
- Lightson Ngashangva
- Transdisciplinary Biology, Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvanthapuram, Kerala 695014, India;
| | - Bahaa A. Hemdan
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India; (B.A.H.); (V.B.)
- Water Pollution Research Department, Environmental and Climate Change Research Institute, National Research Centre, 33 El Buhouth Street, Cairo P.O. Box 12622, Egypt;
| | - Mohamed Azab El-Liethy
- Water Pollution Research Department, Environmental and Climate Change Research Institute, National Research Centre, 33 El Buhouth Street, Cairo P.O. Box 12622, Egypt;
| | - Vinay Bachu
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India; (B.A.H.); (V.B.)
| | - Shelley D. Minteer
- Department of Chemistry, University of Utah, 315 South 1400 East, RM 2020, Salt Lake City, UT 84112, USA
- Correspondence: (S.D.M.); (P.G.)
| | - Pranab Goswami
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India; (B.A.H.); (V.B.)
- Correspondence: (S.D.M.); (P.G.)
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Nehra M, Kumar V, Kumar R, Dilbaghi N, Kumar S. Current Scenario of Pathogen Detection Techniques in Agro-Food Sector. Biosensors (Basel) 2022; 12:bios12070489. [PMID: 35884292 PMCID: PMC9313409 DOI: 10.3390/bios12070489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 05/11/2022] [Revised: 06/26/2022] [Accepted: 06/28/2022] [Indexed: 05/05/2023]
Abstract
Over the past-decade, agricultural products (such as vegetables and fruits) have been reported as the major vehicles for foodborne diseases, which are limiting food resources. The spread of infectious diseases due to foodborne pathogens poses a global threat to human health and the economy. The accurate and timely detection of infectious disease and of causative pathogens is crucial in the prevention and treatment of disease. Negligence in the detection of pathogenic substances can be catastrophic and lead to a pandemic. Despite the revolution in health diagnostics, much attention has been paid to the agro-food sector regarding the detection of food contaminants (such as pathogens). The conventional analytical techniques for pathogen detection are reliable and still in operation. However, laborious procedures and time-consuming detection via these approaches emphasize the need for simple, easy-to-use, and affordable detection techniques. The rapid detection of pathogens from food is essential to avoid the morbidity and mortality originating from the suboptimal nature of empiric pathogen treatment. This review critically discusses both the conventional and emerging bio-molecular approaches for pathogen detection in agro-food.
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Affiliation(s)
- Monika Nehra
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar 125001, Haryana, India; (M.N.); (V.K.); (N.D.)
- Department of Mechanical Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India;
| | - Virendra Kumar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar 125001, Haryana, India; (M.N.); (V.K.); (N.D.)
| | - Rajesh Kumar
- Department of Mechanical Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India;
| | - Neeraj Dilbaghi
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar 125001, Haryana, India; (M.N.); (V.K.); (N.D.)
| | - Sandeep Kumar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar 125001, Haryana, India; (M.N.); (V.K.); (N.D.)
- Correspondence:
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15
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Rodoplu D, Chang C, Kao C, Hsu C. A micro-pupil device for point-of-care testing of viable Escherichia coli in tap water. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107390] [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: 10/18/2022]
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16
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Santos M, Mariz M, Tiago I, Martins J, Alarico S, Ferreira P. A review on urinary tract infections diagnostic methods: Laboratory-based and point-of-care approaches. J Pharm Biomed Anal 2022; 219:114889. [PMID: 35724611 DOI: 10.1016/j.jpba.2022.114889] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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: 03/09/2022] [Revised: 05/18/2022] [Accepted: 06/11/2022] [Indexed: 02/07/2023]
Abstract
Urinary tract infections (UTIs) are among the most common infectious diseases worldwide. This type of infections can be healthcare-associated or community-acquired and affects millions of people every year. Different diagnostic procedures are available to detect pathogens in urine and they can be divided into two main categories: laboratory-based and point-of-care (POC) detection techniques. Traditional methodologies are often time-consuming, thus, achieving a rapid and accurate identification of pathogens is a challenging feature that has been pursued by many research groups and companies operating in this area. The purpose of this review is to compare and highlight advantages and disadvantages of the traditional and currently most used detection methods, as well as the emerging POC approaches and the relevant advances in on-site detection of pathogens´ mechanisms, suitable to be adapted to UTI diagnosis. Lately, the commercially available UTI self-testing kits and devices are helping in the diagnosis of urinary infections as patients or care givers are able to perform the test, easily and comfortably at home and, upon the result, decide when to attend an appointment/Urgent Health Care Unit.
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Affiliation(s)
- Marta Santos
- CIEPQPF, Chemical Engineering Department, University of Coimbra, 3030-790 Coimbra, Portugal
| | - Marcos Mariz
- CIEPQPF, Chemical Engineering Department, University of Coimbra, 3030-790 Coimbra, Portugal
| | - Igor Tiago
- CFE, Centre for Functional Ecology (CFE), Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Jimmy Martins
- Faculty of Medicine and Biomedical Sciences, University of Algarve, 8005-139 Faro, Portugal
| | - Susana Alarico
- CNC, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal; CIBB, Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; IIIUC, Institute for Interdisciplinary Research, University of Coimbra, 3004-504 Coimbra, Portugal.
| | - Paula Ferreira
- CIEPQPF, Chemical Engineering Department, University of Coimbra, 3030-790 Coimbra, Portugal; Department of Chemical and Biological Engineering, Coimbra Institute of Engineering, 3030-199 Coimbra, Portugal.
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Fahmy HM, Abu Serea ES, Salah-Eldin RE, Al-Hafiry SA, Ali MK, Shalan AE, Lanceros-Méndez S. Recent Progress in Graphene- and Related Carbon-Nanomaterial-based Electrochemical Biosensors for Early Disease Detection. ACS Biomater Sci Eng 2022; 8:964-1000. [PMID: 35229605 DOI: 10.1021/acsbiomaterials.1c00710] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Graphene- and carbon-based nanomaterials are key materials to develop advanced biosensors for the sensitive detection of many biomarkers owing to their unique properties. Biosensors have attracted increasing interest because they allow efficacious, sensitive, selective, rapid, and low-cost diagnosis. Biosensors are analytical devices based on receptors for the process of detection and transducers for response measuring. Biosensors can be based on electrochemical, piezoelectric, thermal, and optical transduction mechanisms. Early virus identification provides critical information about potentially effective and selective therapies, extends the therapeutic window, and thereby reduces morbidity. The sensitivity and selectivity of graphene can be amended via functionalizing it or conjoining it with further materials. Amendment of the optical and electrical features of the hybrid structure by introducing appropriate functional groups or counterparts is especially appealing for quick and easy-to-use virus detection. Various techniques for the electrochemical detection of viruses depending on antigen-antibody interactions or DNA hybridization are discussed in this work, and the reasons behind using graphene and related carbon nanomaterials for the fabrication are presented and discussed. We review the existing state-of-the-art directions of graphene-based classifications for detecting DNA, protein, and hormone biomarkers and summarize the use of the different biosensors to detect several diseases, like cancer, Alzheimer's disease, and diabetes, to sense numerous viruses, including SARS-CoV-2, human immunodeficiency virus, rotavirus, Zika virus, and hepatitis B virus, and to detect the recent pandemic virus COVID-19. The general concepts, mechanisms of action, benefits, and disadvantages of advanced virus biosensors are discussed to afford beneficial evidence of the creation and manufacture of innovative virus biosensors. We emphasize that graphene-based nanomaterials are ideal candidates for electrochemical biosensor engineering due to their special and tunable physicochemical properties.
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Affiliation(s)
- Heba Mohamed Fahmy
- Biophysics Department, Faculty of Science, Cairo University, 12613 Giza, Egypt
| | - Esraa Samy Abu Serea
- Chemistry and Biochemistry Department, Faculty of Science, Cairo University, 12613 Giza, Egypt.,BCMaterials-Basque Center for Materials, Applications and Nanostructures, Martina Casiano, UPV/EHU Science Park, Barrio Sarriena s/n, Leioa 48940, Spain
| | - Reem Essam Salah-Eldin
- Chemistry and Zoology Department, Faculty of Science, Cairo University, 12613 Giza, Egypt
| | | | - Miar Khaled Ali
- Biotechnology/Biomolecular Chemistry Program, Faculty of Science, Cairo University, 12613 Giza, Egypt
| | - Ahmed Esmail Shalan
- BCMaterials-Basque Center for Materials, Applications and Nanostructures, Martina Casiano, UPV/EHU Science Park, Barrio Sarriena s/n, Leioa 48940, Spain.,Central Metallurgical Research and Development Institute, P.O. Box 87, Helwan, 11422 Cairo, Egypt
| | - Senentxu Lanceros-Méndez
- BCMaterials-Basque Center for Materials, Applications and Nanostructures, Martina Casiano, UPV/EHU Science Park, Barrio Sarriena s/n, Leioa 48940, Spain.,IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
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18
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Bano I, Soomro SEH. Nanotechnology and its importance in the field of microbiology. J Microbiol Methods 2022. [DOI: 10.1016/bs.mim.2022.02.003] [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: 12/27/2022]
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Abstract
Regulatory authorities require analytical methods for bacteria detection to analyze large sample volumes (typically 100 mL). Currently only the Membrane Filtration and the Most Probable Number assays analyze such large volumes, while other assays for bacteria detection (ELISA, lateral flow assays, etc.) typically analyze volumes 1000 times smaller. This study describes flow-through direct immunoassays (FTDI), a new methodology for the targeted detection of bacteria in liquid samples of theoretically any volume. Flow-through direct immunoassays are performed in fluid-permeable microwells (e.g., wells of a filter well plate) that have a membrane on their bottom where the bacteria are trapped before their detection using a direct immunoassay. Two versions of FTDI assays for the detection of E. coli in 10 mL of sample were developed. A rapid FTDI assay that can be completed in less than 2.5 h can detect E. coli bacteria in levels down to 17 CFU/mL, and an ultrasensitive FTDI assay that employs an additional bacteria culturing step to boost the sensitivity can detect E. coli bacteria in levels lower than 1 CFU/mL in less than 5.5 h. All the steps of the assays, including the immunoassay steps, the culturing step, and the analytical signal measurement step are performed inside the well plate to decrease the chance of contamination and ensure a safe, easy process for the user. The assays were assessed and validated in tap water, river water, and apple juice samples, and the results suggests that the assays are robust, precise, and accurate. When the assays are performed in 96-well filter plates, a filter well plate vacuum manifold and a multichannel peristaltic pump are also used, so multiple samples can be analyzed in parallel to allow high-throughput analysis of samples.
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Affiliation(s)
- Parthena Chorti
- Department of Chemistry, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Abbas Parvez Kazi
- Department of Chemistry, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Michael Wiederoder
- U.S. Army Combat Capabilities Development Command (DEVCOM) Soldier Center, Natick, Massachusetts 01760, United States
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20
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Simões J, Yang Z, Dong T. An ultrasensitive fluorimetric sensor for pre-screening of water microbial contamination risk. Spectrochim Acta A Mol Biomol Spectrosc 2021; 258:119805. [PMID: 33957453 DOI: 10.1016/j.saa.2021.119805] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 12/13/2020] [Revised: 03/21/2021] [Accepted: 04/06/2021] [Indexed: 06/12/2023]
Abstract
In recent years, global efforts have been directed towards the development of water safety routines, consequently demanding cost-effective sensors capable of detecting outbreaks at early stages. This work reports the development and study of an original in-field tryptophan fluorimetric sensor as a potential indicator of real-time microbial contamination in water. The sensor excitation and emission wavelengths were selected with respect to the coliform bacteria tryptophan peak; 280 nm for excitation and 330 nm for emission. The in-lab tests with standard samples show a detection limit of 4.89 nM (≈0.1 μg/l) for L-tryptophan. The sensor exhibited good linearity over three orders of magnitude and considerable detection reproducibility, which was confirmed during calibration tests. Small-scale in situ tests showed that the sensor was better correlated with coliform bacteria than other online sensors such as turbidity. This suggests that the fluorimetric tryptophan sensor can be integrated into early warning systems that quickly assess changes in water microbial quality.
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Affiliation(s)
- João Simões
- Department of Microsystems-IMS, Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway-USN, P.O. Box 235, Kongsberg 3603, Norway
| | - Zhaochu Yang
- Chongqing Key Laboratory of Micro-Nano Systems and Intelligent Transduction, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Municipal Key Laboratory of Institutions of Higher Education on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China
| | - Tao Dong
- Department of Microsystems-IMS, Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway-USN, P.O. Box 235, Kongsberg 3603, Norway.
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21
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Canciu A, Tertis M, Hosu O, Cernat A, Cristea C, Graur F. Modern Analytical Techniques for Detection of Bacteria in Surface and Wastewaters. Sustainability 2021; 13:7229. [DOI: 10.3390/su13137229] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Contamination of surface waters with pathogens as well as all diseases associated with such events are a significant concern worldwide. In recent decades, there has been a growing interest in developing analytical methods with good performance for the detection of this category of contaminants. The most important analytical methods applied for the determination of bacteria in waters are traditional ones (such as bacterial culturing methods, enzyme-linked immunoassay, polymerase chain reaction, and loop-mediated isothermal amplification) and advanced alternative methods (such as spectrometry, chromatography, capillary electrophoresis, surface-enhanced Raman scattering, and magnetic field-assisted and hyphenated techniques). In addition, optical and electrochemical sensors have gained much attention as essential alternatives for the conventional detection of bacteria. The large number of available methods have been materialized by many publications in this field aimed to ensure the control of water quality in water resources. This study represents a critical synthesis of the literature regarding the latest analytical methods covering comparative aspects of pathogen contamination of water resources. All these aspects are presented as representative examples, focusing on two important bacteria with essential implications on the health of the population, namely Pseudomonas aeruginosa and Escherichia coli.
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Rani A, Ravindran VB, Surapaneni A, Mantri N, Ball AS. Review: Trends in point-of-care diagnosis for Escherichia coli O157:H7 in food and water. Int J Food Microbiol 2021; 349:109233. [PMID: 34022616 DOI: 10.1016/j.ijfoodmicro.2021.109233] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [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: 02/18/2021] [Revised: 04/27/2021] [Accepted: 04/29/2021] [Indexed: 12/17/2022]
Abstract
Escherichia coli O157:H7, a Shiga-producing E. coli is a major pathogenic E. coli strain which since the early 1980s has become a crucial food and water-borne pathogen. Several management strategies can be applied to control the spread of infection; however early diagnosis represents the optimum preventive strategy to minimize the infection. Therefore, it is crucial to detect this pathogen in a fast and efficient manner in order to reduce the morbidity and mortality. Currently used gold standard tests rely on culture and pre-enrichment of E. coli O157:H7 from the contaminated source; they are time consuming and laborious. Molecular methods such as polymerase chain reaction are sensitive; however, they require expensive instrumentation. Therefore, there is a requirement for Accurate, Sensitive, Specific, User friendly, Rapid, Equipment free and Deliverable (ASSURED) detection methods for use in the laboratory and in the field. Emerging technologies such as isothermal amplification methods, biosensors, surface enhanced Raman Spectroscopy, paper-based diagnostics and smartphone-based digital methods are recognized as new approaches in the field of E. coli O157:H7 diagnostics and are discussed in this review. Mobile PCR and CRISPR-Cas diagnostic platforms have been identified as new tools in E. coli O157:H7 POC diagnostics with the potential for implementation by industry. This review describes advances and progress in the field of E. coli O157:H7 diagnosis in the context of food and water industry. The focus is on emerging high throughput point-of-care (POC) E. coli O157:H7 diagnostics and the requirement for the transformation to service routine diagnostics in the food and water industry.
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Affiliation(s)
- Alka Rani
- ARC Training Centre for the Transformation of Australia's Biosolids Resource, School of Science, RMIT University, Bundoora West, Victoria 3083, Australia.
| | - Vivek B Ravindran
- ARC Training Centre for the Transformation of Australia's Biosolids Resource, School of Science, RMIT University, Bundoora West, Victoria 3083, Australia
| | - Aravind Surapaneni
- ARC Training Centre for the Transformation of Australia's Biosolids Resource, School of Science, RMIT University, Bundoora West, Victoria 3083, Australia; South East Water, Frankston, Victoria 3199, Australia
| | - Nitin Mantri
- The Pangenomics Lab, School of Science, RMIT University, Melbourne, Victoria 3083, Australia
| | - Andrew S Ball
- ARC Training Centre for the Transformation of Australia's Biosolids Resource, School of Science, RMIT University, Bundoora West, Victoria 3083, Australia
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Le Brun G, Hauwaert M, Leprince A, Glinel K, Mahillon J, Raskin JP. Electrical Characterization of Cellulose-Based Membranes towards Pathogen Detection in Water. Biosensors (Basel) 2021; 11:57. [PMID: 33670061 DOI: 10.3390/bios11020057] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/19/2021] [Accepted: 02/19/2021] [Indexed: 12/19/2022]
Abstract
Paper substrates are promising for development of cost-effective and efficient point-of-care biosensors, essential for public healthcare and environmental diagnostics in emergency situations. Most paper-based biosensors rely on the natural capillarity of paper to perform qualitative or semi-quantitative colorimetric detections. To achieve quantification and better sensitivity, technologies combining paper-based substrates and electrical detection are being developed. In this work, we demonstrate the potential of electrical measurements by means of a simple, parallel-plate electrode setup towards the detection of whole-cell bacteria captured in nitrocellulose (NC) membranes. Unlike current electrical sensors, which are mostly integrated, this plug and play system has reusable electrodes and enables simple and fast bacterial detection through impedance measurements. The characterized NC membrane was subjected to (i) a biofunctionalization, (ii) different saline solutions modelling real water samples, and (iii) bacterial suspensions of different concentrations. Bacterial detection was achieved in low conductivity buffers through both resistive and capacitive changes in the sensed medium. To capture Bacillus thuringiensis, the model microorganism used in this work, the endolysin cell-wall binding domain (CBD) of Deep-Blue, a bacteriophage targeting this bacterium, was integrated into the membranes as a recognition bio-interface. This experimental proof-of-concept illustrates the electrical detection of 107 colony-forming units (CFU) mL−1 bacteria in low-salinity buffers within 5 min, using a very simple setup. This offers perspectives for affordable pathogen sensors that can easily be reconfigured for different bacteria. Water quality testing is a particularly interesting application since it requires frequent testing, especially in emergency situations.
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Abstract
Gas-propelled biosensors display a simple gas-based signal amplification with quantitative detection features based on the target recognition event in combination with gas propulsion. Due to the liquid-gas conversion, the gas not only pushes the ink bar forward in the microchannel, but also serves as the power to propel the micromotors in the liquid. Thus, this continuous motion leads to a shift in distances which is associated with the target amount. Therefore, gas-propelled biosensors provide a visual quantification based on distance or speed signals without the need for expensive instruments. In this review, we focus on current developments in gas-propelled biosensors for quantitative analysis. First, we list the types of gas utilized as actuators in biosensors. Second, we review the representative gas-propelled biosensors, including the propulsion mechanisms and fabrication methods. Moreover, gas-propelled quantification based on distance and speed is summarized. Finally, we cover applications and provide a future perspective of gas-propelled biosensors.
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Affiliation(s)
- Xinli Liu
- College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing 210023, China.
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25
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Jain S, Nehra M, Kumar R, Dilbaghi N, Hu T, Kumar S, Kaushik A, Li CZ. Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases. Biosens Bioelectron 2021; 179:113074. [PMID: 33596516 PMCID: PMC7866895 DOI: 10.1016/j.bios.2021.113074] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 02/06/2023]
Abstract
On global scale, the current situation of pandemic is symptomatic of increased incidences of contagious diseases caused by pathogens. The faster spread of these diseases, in a moderately short timeframe, is threatening the overall population wellbeing and conceivably the economy. The inadequacy of conventional diagnostic tools in terms of time consuming and complex laboratory-based diagnosis process is a major challenge to medical care. In present era, the development of point-of-care testing (POCT) is in demand for fast detection of infectious diseases along with “on-site” results that are helpful in timely and early action for better treatment. In addition, POCT devices also play a crucial role in preventing the transmission of infectious diseases by offering real-time testing and lab quality microbial diagnosis within minutes. Timely diagnosis and further treatment optimization facilitate the containment of outbreaks of infectious diseases. Presently, efforts are being made to support such POCT by the technological development in the field of internet of medical things (IoMT). The IoMT offers wireless-based operation and connectivity of POCT devices with health expert and medical centre. In this review, the recently developed POC diagnostics integrated or future possibilities of integration with IoMT are discussed with focus on emerging and re-emerging infectious diseases like malaria, dengue fever, influenza A (H1N1), human papilloma virus (HPV), Ebola virus disease (EVD), Zika virus (ZIKV), and coronavirus (COVID-19). The IoMT-assisted POCT systems are capable enough to fill the gap between bioinformatics generation, big rapid analytics, and clinical validation. An optimized IoMT-assisted POCT will be useful in understanding the diseases progression, treatment decision, and evaluation of efficacy of prescribed therapy.
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Affiliation(s)
- Shikha Jain
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India
| | - Monika Nehra
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India; Department of Mechanical Engineering, UIET, Panjab University, Chandigarh, 160014, India
| | - Rajesh Kumar
- Department of Mechanical Engineering, UIET, Panjab University, Chandigarh, 160014, India
| | - Neeraj Dilbaghi
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India
| | - TonyY Hu
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Sandeep Kumar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Health Systems Engineering, Department of Natural Sciences, Florida Polytechnic University, Lakeland, FL, 33805-8531, United States.
| | - Chen-Zhong Li
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA, 70112, USA; Department of Biomedical Engineering, Florida International University, Miami, FL, 33174, USA.
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Salek Maghsoudi A, Hassani S, Mirnia K, Abdollahi M. Recent Advances in Nanotechnology-Based Biosensors Development for Detection of Arsenic, Lead, Mercury, and Cadmium. Int J Nanomedicine 2021; 16:803-832. [PMID: 33568907 PMCID: PMC7870343 DOI: 10.2147/ijn.s294417] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 01/14/2021] [Indexed: 12/11/2022] Open
Abstract
Heavy metals cause considerable environmental pollution due to their extent and non-degradability in the environment. Analysis and trace levels of arsenic, lead, mercury, and cadmium as the most toxic heavy metals show that they can cause various hazards in humans' health. To achieve rapid, high-sensitivity methods for analyzing ultra-trace amounts of heavy metals in different environmental and biological samples, novel biosensors have been designed with the participation of strategies applied in nanotechnology. This review attempted to investigate the novel, sensitive, efficient, cost-benefit, point of care, and user-friendly biosensors designed to detect these heavy metals based on functional mechanisms. The study's search strategies included examining the primary databases from 2015 onwards and various keywords focusing on heavy metal biosensors' performance and toxicity mechanisms. The use of aptamers and whole cells as two important bio-functional nanomaterials is remarkable in heavy metal diagnostic biosensors' bioreceptor design. The application of hybridized nanomaterials containing a specific physicochemical function in the presence of a suitable transducer can improve the sensing performance to achieve an integrated detection system. Our study showed that in addition to both labeled and label-free detection strategies, a wide range of nanoparticles and nanocomposites were used to modify the biosensor surface platform in the detection of heavy metals. The detection limit and linear dynamic range as an essential characteristic of superior biosensors for the primary toxic metals are studied. Furthermore, the perspectives and challenges facing the design of heavy metal biosensors are outlined. The development of novel biosensors and the application of nanotechnology, especially in real samples, face challenges such as the capability to simultaneously detect multiple heavy metals, the interference process in complex matrices, the efficiency and stability of nanomaterials implemented in various laboratory conditions.
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Affiliation(s)
- Armin Salek Maghsoudi
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran
- Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Shokoufeh Hassani
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran
- Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Kayvan Mirnia
- Department of Neonatology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Abdollahi
- Toxicology and Diseases Group (TDG), Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran
- Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
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Kumar S, Nehra M, Khurana S, Dilbaghi N, Kumar V, Kaushik A, Kim KH. Aspects of Point-of-Care Diagnostics for Personalized Health Wellness. Int J Nanomedicine 2021; 16:383-402. [PMID: 33488077 PMCID: PMC7814661 DOI: 10.2147/ijn.s267212] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 09/24/2020] [Indexed: 12/24/2022] Open
Abstract
Advancements in analytical diagnostic systems for point-of-care (POC) application have gained considerable attention because of their rapid operation at the site required to manage severe diseases, even in a personalized manner. The POC diagnostic devices offer easy operation, fast analytical outcome, and affordable cost, which promote their advanced research and versatile adoptability. Keeping advantages in view, considerable efforts are being made to design and develop smart sensing components such as miniaturized transduction, interdigitated electrodes-based sensing chips, selective detection at low level, portable packaging, and sustainable durability to promote POC diagnostics according to the needs of patient care. Such effective diagnostics systems are in demand, which creates the challenge to make them more efficient in every aspect to generate a desired bio-informatic needed for better health access and management. Keeping advantages and scope in view, this mini review focuses on practical scenarios associated with miniaturized analytical diagnostic devices at POC application for targeted disease diagnostics smartly and efficiently. Moreover, advancements in technologies, such as smartphone-based operation, paper-based sensing assays, and lab-on-a-chip (LOC) which made POC more sensitive, informative, and suitable for major infectious disease diagnosis, are the main focus here. Besides, POC diagnostics based on automated patient sample integration with a sensing platform is continuously improving therapeutics interventions against specific infectious disease. This review also discussed challenges associated with state-of-the-art technology along with future research opportunities to design and develop next generation POC diagnostic systems needed to manage infectious diseases in a personalized manner.
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Affiliation(s)
- Sandeep Kumar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India
| | - Monika Nehra
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India
| | - Sakina Khurana
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India
| | - Neeraj Dilbaghi
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India
| | - Vanish Kumar
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, India
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Natural Sciences, Division of Sciences, Art, & Mathematics, Florida Polytechnic University, Lakeland, FL, 33805-8531, USA
| | - Ki-Hyun Kim
- Department of Civil & Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea
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Vishwakarma A, Lal R, Ramya M. Aptamer-based approaches for the detection of waterborne pathogens. Int Microbiol 2021; 24:125-140. [PMID: 33404933 DOI: 10.1007/s10123-020-00154-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 06/12/2020] [Revised: 10/13/2020] [Accepted: 12/14/2020] [Indexed: 02/06/2023]
Abstract
Waterborne ailments pose a serious threat to public health and are a huge economic burden. Lack of hygiene in drinking and recreational water is the chief source of microbial pathogens in developing countries. Poor water quality and sanitation account for more than 3.4 million deaths a year worldwide. This has urged authorities and researchers to explore different avenues of pathogen detection. There is a growing demand for rapid and reliable sensor technologies, in particular those that can detect in situ and perform in harsh conditions. Some of the major waterborne pathogens include Vibrio cholerae, Leptospira interrogans, Campylobacter jejuni, Shigella spp., enterotoxigenic Escherichia coli, Clostridium difficile, Cryptosporidium parvum, Entamoeba histolytica, and Hepatitis A virus. While conventional methods of pathogen detection like serodiagnosis and microbiological methods have been superseded by nucleic acid amplification methods, there is still potential for improvement. This review provides an insight into aptamers and their utility in the form of aptasensors. It discusses how aptamer-based approaches have emerged as a novel strategy and its advantages over more resource-intensive and complex biochemical approaches.
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Affiliation(s)
- Archana Vishwakarma
- Molecular Genetics Laboratory, Department of Genetic Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur 603203, Kanchipuram, Chennai, TN, India
| | - Roshni Lal
- Molecular Genetics Laboratory, Department of Genetic Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur 603203, Kanchipuram, Chennai, TN, India
| | - Mohandass Ramya
- Molecular Genetics Laboratory, Department of Genetic Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur 603203, Kanchipuram, Chennai, TN, India.
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Nehra M, Dilbaghi N, Marrazza G, Kaushik A, Sonne C, Kim KH, Kumar S. Emerging nanobiotechnology in agriculture for the management of pesticide residues. J Hazard Mater 2021; 401:123369. [PMID: 32763682 DOI: 10.1016/j.jhazmat.2020.123369] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/12/2020] [Accepted: 06/30/2020] [Indexed: 05/18/2023]
Abstract
Utilization of pesticides is often necessary for meeting commercial requirements for crop quality and yield. However, incessant global pesticide use poses potential risks to human and ecosystem health. This situation increases the urgency of developing nano-biotechnology-assisted pesticide formulations that have high efficacy and low risk of side effects. The risks associated with both conventional and nanopesticides are summarized in this review. Moreover, the management of residual pesticides is still a global challenge. The contamination of soil and water resources with pesticides has adverse impact over agricultural productivity and food security; ultimately posing threats to living organisms. Pesticide residues in the eco-system may be treated via several biological and physicochemical processes, such as microbe-based degradation and advanced oxidation processes. With these issues in mind, we present a review that explores both existing and emerging techniques for management of pesticide residues and environmental risks. These techniques can offer a sustainable solution to revitalize the tarnished water/soil resources. Further, state-of-the-art research approaches to investigate biotechnological alternatives to conventional pesticides are discussed along with future prospects and mitigation techniques are recommended.
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Affiliation(s)
- Monika Nehra
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India
| | - Neeraj Dilbaghi
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India
| | - Giovanna Marrazza
- Department of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019, Sesto Fiorentino, Florence, Italy
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Natural Sciences, Division of Sciences, Arts & Mathematics, Florida Polytechnic University, Lakeland, FL, 33805-8531, United States
| | - Christian Sonne
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, DK-4000, Roskilde, Denmark
| | - Ki-Hyun Kim
- Department of Civil & Environmental Engineering, Hanyang University, 222 Wangsimni-Ro, Seoul, 04763, Republic of Korea
| | - Sandeep Kumar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
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Charbaji A, Heidari-Bafroui H, Anagnostopoulos C, Faghri M. A New Paper-Based Microfluidic Device for Improved Detection of Nitrate in Water. Sensors (Basel) 2020; 21:s21010102. [PMID: 33375290 PMCID: PMC7794956 DOI: 10.3390/s21010102] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/06/2020] [Accepted: 12/23/2020] [Indexed: 12/11/2022]
Abstract
In this paper, we report a simple and inexpensive paper-based microfluidic device for detecting nitrate in water. This device incorporates two recent developments in paper-based technology suitable for nitrate detection and has an optimized microfluidic design. The first technical advancement employed is an innovative fibrous composite material made up of cotton fibers and zinc microparticles that can be incorporated in paper-based devices and results in better nitrate reduction. The second is a detection zone with an immobilized reagent that allows the passage of a larger sample volume. Different acids were tested—citric and phosphoric acids gave better results than hydrochloric acid since this acid evaporates completely without leaving any residue behind on paper. Different microfluidic designs that utilize various fluid control technologies were investigated and a design with a folding detection zone was chosen and optimized to improve the uniformity of the signal produced. The optimized design allowed the device to achieve a limit of detection and quantification of 0.53 ppm and 1.18 ppm, respectively, for nitrate in water. This accounted for more than a 40% improvement on what has been previously realized for the detection of nitrate in water using paper-based technology.
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31
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Lamberg P, Lamkin-Kennard KA, Schrlau MG. Fast Detection of Beta Galactosidase and Enzyme Kinetics with 4-Aminophenyl-β-D-Galactopyranoside as Substrate. ANAL LETT 2020. [DOI: 10.1080/00032719.2020.1837856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Peter Lamberg
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, USA
| | | | - Michael G. Schrlau
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, USA
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Offenbaume KL, Bertone E, Stewart RA. Monitoring Approaches for Faecal Indicator Bacteria in Water: Visioning a Remote Real-Time Sensor for E. coli and Enterococci. Water 2020; 12:2591. [DOI: 10.3390/w12092591] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
A comprehensive review was conducted to assess the current state of monitoring approaches for primary faecal indicator bacteria (FIB) E. coli and enterococci. Approaches were identified and examined in relation to their accuracy, ability to provide continuous data and instantaneous detection results, cost, environmental awareness regarding necessary reagent release or other pollution sources, in situ monitoring capability, and portability. Findings showed that several methods are precise and sophisticated but cannot be performed in real-time or remotely. This is mainly due to their laboratory testing requirements, such as lengthy sample preparations, the requirement for expensive reagents, and fluorescent tags. This study determined that portable fluorescence sensing, combined with advanced modelling methods to compensate readings for environmental interferences and false positives, can lay the foundations for a hybrid FIB sensing approach, allowing remote field deployment of a fleet of networked FIB sensors that can collect high-frequency data in near real-time. Such sensors will support proactive responses to sudden harmful faecal contamination events. A method is proposed to enable the development of the visioned FIB monitoring tool.
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Mujawar MA, Gohel H, Bhardwaj SK, Srinivasan S, Hickman N, Kaushik A. Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management. Mater Today Chem 2020; 17:100306. [PMID: 32835155 PMCID: PMC7274574 DOI: 10.1016/j.mtchem.2020.100306] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 05/28/2020] [Accepted: 05/30/2020] [Indexed: 05/18/2023]
Abstract
Biosensors are emerging as efficient (sensitive and selective) and affordable analytical diagnostic tools for early-stage disease detection, as required for personalized health wellness management. Low-level detection of a targeted disease biomarker (pM level) has emerged extremely useful to evaluate the progression of disease under therapy. Such collected bioinformatics and its multi-aspects-oriented analytics is in demand to explore the effectiveness of a prescribed treatment, optimize therapy, and correlate biomarker level with disease pathogenesis. Owing to nanotechnology-enabled advancements in sensing unit fabrication, device integration, interfacing, packaging, and sensing performance at point-of-care (POC) has rendered diagnostics according to the requirements of disease management and patient disease profile i.e. in a personalized manner. Efforts are continuously being made to promote the state of art biosensing technology as a next-generation non-invasive disease diagnostics methodology. Keeping this in view, this progressive opinion article describes personalized health care management related analytical tools which can provide access to better health for everyone, with overreaching aim to manage healthy tomorrow timely. Considering accomplishments and predictions, such affordable intelligent diagnostics tools are urgently required to manage COVID-19 pandemic, a life-threatening respiratory infectious disease, where a rapid, selective and sensitive detection of human beta severe acute respiratory system coronavirus (SARS-COoV-2) protein is the key factor.
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Affiliation(s)
- M A Mujawar
- Department of Electrical and Computer Engineering, College of Engineering and Computing, Florida International University, Miami, FL, 33174, USA
| | - H Gohel
- Department of Computer Science, School of Art and Sciences, University of Houston, Victoria, TX, USA
| | - S K Bhardwaj
- Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, the Netherlands
| | - S Srinivasan
- NnaoBioTech Laboratory, Department of Natural Sciences, Division of Sciences, Art, & Mathematics, Florida Polytechnic University, Lakeland, FL, 33805, USA
| | - N Hickman
- NnaoBioTech Laboratory, Department of Natural Sciences, Division of Sciences, Art, & Mathematics, Florida Polytechnic University, Lakeland, FL, 33805, USA
| | - A Kaushik
- NnaoBioTech Laboratory, Department of Natural Sciences, Division of Sciences, Art, & Mathematics, Florida Polytechnic University, Lakeland, FL, 33805, USA
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Yao S, Li J, Pang B, Wang X, Shi Y, Song X, Xu K, Wang J, Zhao C. Colorimetric immunoassay for rapid detection of Staphylococcus aureus based on etching-enhanced peroxidase-like catalytic activity of gold nanoparticles. Mikrochim Acta 2020; 187:504. [PMID: 32813037 DOI: 10.1007/s00604-020-04473-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 08/04/2020] [Indexed: 12/16/2022]
Abstract
A novel colorimetric immunoassay for the detection of Staphylococcus aureus (S. aureus) based on a combination of immunomagnetic separation and signal amplification via etching-enhanced peroxidase-like catalytic activity of gold nanoparticles (AuNPs) was developed. Nanoconjugates composed of gold and iron oxide nanoparticles were synthesized and further modified with antiS. aureus immunoglobulin Y (IgY), which was used for the selective enrichment and rapid separation of target bacteria in complex matrices. AuNPs functionalized with antiS. aureus aptamer were used as an artificial enzyme which has peroxidase-like catalysis activity. Catalytic activity of AuNPs is inhibited by modifying aptamer. However, catalysis of modified AuNPs remarkably enhanced by hydrogen peroxide etching. Based on collecting unbound modified AuNPs in the supernatant and 3,3',5,5'-tetramethylbenzidine-hydrogen peroxide reporting system, the yellow color of solution decreases linearly with increasing the concentration of S. aureus ranging from 10 to 106 cfu/mL. The limit of detection is 10 cfu/mL, and total detection time is 65 min. The recoveries of the S. aureus spiked in food samples are 88.2-119.8%. Schematic illustration of colorimetric method for detection of S. aureus based on the IgY-Fe3O4/Au nanocomposites as capture probes and apt-AuNPs as artificial enzyme with etching-enhanced peroxidase-like catalytic activity.
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Affiliation(s)
- Shuo Yao
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Juan Li
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Bo Pang
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Xuechen Wang
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Yujie Shi
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Xiuling Song
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Kun Xu
- School of Public Health, Jilin University, Changchun, 130021, China
| | - Juan Wang
- School of Public Health, Jilin University, Changchun, 130021, China.
| | - Chao Zhao
- School of Public Health, Jilin University, Changchun, 130021, China.
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Razmi N, Hasanzadeh M, Willander M, Nur O. Recent Progress on the Electrochemical Biosensing of Escherichia coli O157:H7: Material and Methods Overview. Biosensors (Basel) 2020; 10:E54. [PMID: 32443629 PMCID: PMC7277213 DOI: 10.3390/bios10050054] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/11/2020] [Accepted: 05/13/2020] [Indexed: 01/21/2023]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) is a pathogenic strain of Escherichia coli which has issued as a public health threat because of fatal contamination of food and water. Therefore, accurate detection of pathogenic E. coli is important in environmental and food quality monitoring. In spite of their advantages and high acceptance, culture-based methods, enzyme-linked immunosorbent assays (ELISAs), polymerase chain reaction (PCR), flow cytometry, ATP bioluminescence, and solid-phase cytometry have various drawbacks, including being time-consuming, requiring trained technicians and/or specific equipment, and producing biological waste. Therefore, there is necessity for affordable, rapid, and simple approaches. Electrochemical biosensors have shown great promise for rapid food- and water-borne pathogen detection. Over the last decade, various attempts have been made to develop techniques for the rapid quantification of E. coli O157:H7. This review covers the importance of E. coli O157:H7 and recent progress (from 2015 to 2020) in the development of the sensitivity and selectivity of electrochemical sensors developed for E. coli O157:H7 using different nanomaterials, labels, and electrochemical transducers.
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Affiliation(s)
- Nasrin Razmi
- Physics and Electronics, Department of Sciences and Technology, Linköping University, SE-601 74 Norrköping, Sweden;
| | - Mohammad Hasanzadeh
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz 51664, Iran;
| | - Magnus Willander
- Physics and Electronics, Department of Sciences and Technology, Linköping University, SE-601 74 Norrköping, Sweden;
| | - Omer Nur
- Physics and Electronics, Department of Sciences and Technology, Linköping University, SE-601 74 Norrköping, Sweden;
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Soukarié D, Ecochard V, Salomé L. DNA-based nanobiosensors for monitoring of water quality. Int J Hyg Environ Health 2020; 226:113485. [DOI: 10.1016/j.ijheh.2020.113485] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 01/28/2020] [Accepted: 02/10/2020] [Indexed: 12/20/2022]
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Zhang L, Ying Y, Li Y, Fu Y. Integration and synergy in protein-nanomaterial hybrids for biosensing: Strategies and in-field detection applications. Biosens Bioelectron 2020; 154:112036. [DOI: 10.1016/j.bios.2020.112036] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 01/12/2020] [Accepted: 01/16/2020] [Indexed: 12/12/2022]
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Nehra M, Lettieri M, Dilbaghi N, Kumar S, Marrazza G. Nano-Biosensing Platforms for Detection of Cow's Milk Allergens: An Overview. Sensors (Basel) 2019; 20:E32. [PMID: 31861555 PMCID: PMC6982970 DOI: 10.3390/s20010032] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 12/07/2019] [Accepted: 12/16/2019] [Indexed: 12/16/2022]
Abstract
Among prevalent food allergies, cow milk allergy (CMA) is most common and may persist throughout the life. The allergic individuals are exposed to a constant threat due to milk proteins' presence in uncounted food products like yogurt, cheese, and bakery items. The problem can be more severe due to cross-reactivity of the milk allergens in the food products due to homologous milk proteins of diverse species. This problem can be overcome by proper and reliable food labeling in order to ensure the life quality of allergic persons. Therefore, highly sensitive and accurate analytical techniques should be developed to detect the food allergens. Here, significant research advances in biosensors (specifically immunosensors and aptasensors) are reviewed for detection of the milk allergens. Different allergic proteins of cow milk are described here along with the analytical standard methods for their detection. Additionally, the commercial status of biosensors is also discussed in comparison to conventional techniques like enzyme-linked immunosorbent assay (ELISA). The development of novel biosensing mechanisms/kits for milk allergens detection is imperative from the perspective of enforcement of labeling regulations and directives keeping in view the sensitive individuals.
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Affiliation(s)
- Monika Nehra
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar-Haryana 125001, India; (M.N.)
| | - Mariagrazia Lettieri
- Department of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia, 350019 Sesto Fiorentino (Fi), Italy;
| | - Neeraj Dilbaghi
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar-Haryana 125001, India; (M.N.)
| | - Sandeep Kumar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar-Haryana 125001, India; (M.N.)
| | - Giovanna Marrazza
- Department of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia, 350019 Sesto Fiorentino (Fi), Italy;
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