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Chen JL, Njoku DI, Tang C, Gao Y, Chen J, Peng YK, Sun H, Mao G, Pan M, Tam NFY. Advances in Microfluidic Paper-Based Analytical Devices (µPADs): Design, Fabrication, and Applications. SMALL METHODS 2024; 8:e2400155. [PMID: 38781604 DOI: 10.1002/smtd.202400155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 05/01/2024] [Indexed: 05/25/2024]
Abstract
Microfluidic Paper-based Analytical Devices (µPADs) have emerged as a new class of microfluidic systems, offering numerous advantages over traditional microfluidic chips. These advantages include simplicity, cost-effectiveness, stability, storability, disposability, and portability. As a result, various designs for different types of assays are developed and investigated. In recent years, µPADs are combined with conventional detection methods to enable rapid on-site detection, providing results comparable to expensive and sophisticated large-scale testing methods that require more time and skilled personnel. The application of µPAD techniques is extensive in environmental quality control/analysis, clinical diagnosis, and food safety testing, paving the way for on-site real-time diagnosis as a promising future development. This review focuses on the recent research advancements in the design, fabrication, material selection, and detection methods of µPADs. It provides a comprehensive understanding of their principles of operation, applications, and future development prospects.
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Affiliation(s)
- Jian Lin Chen
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, P. R. China
- Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
| | - Demian Ifeanyi Njoku
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
| | - Cui Tang
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
| | - Yaru Gao
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
| | - Jiayu Chen
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
| | - Yung-Kang Peng
- Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
- Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, P. R. China
| | - Hongyan Sun
- Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
- Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, P. R. China
| | - Guozhu Mao
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, P. R. China
| | - Min Pan
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
| | - Nora Fung-Yee Tam
- Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong SAR, P. R. China
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, P. R. China
- Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, P. R. China
- Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, P. R. China
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Pham ML, Maghsoomi S, Brandl M. An Electrochemical Aptasensor for the Detection of Freshwater Cyanobacteria. BIOSENSORS 2024; 14:28. [PMID: 38248405 PMCID: PMC10813013 DOI: 10.3390/bios14010028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/20/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024]
Abstract
Aphanizomenon is a genus of cyanobacteria that is filamentous and nitrogen-fixing and inhabits aquatic environments. This genus is known as one of the major producers of cyanotoxins that can affect water quality after the bloom period. In this study, an electrochemical aptasensor is demonstrated using a specific aptamer to detect Aphanizomenon sp. ULC602 for the rapid and sensitive detection of this bacterium. The principal operation of the generated aptasensor is based on the conformational change in the aptamer attached to the electrode surface in the presence of the target bacterium, resulting in a decrease in the current peak, which is measured by square-wave voltammetry (SWV). This aptasensor has a limit of detection (LOD) of OD750~0.3, with an extension to OD750~1.2 and a sensitivity of 456.8 μA·OD750-1·cm-2 without interference from other cyanobacteria. This is the first aptasensor studied that provides rapid detection to monitor the spread of this bacterium quickly in a targeted manner.
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Affiliation(s)
- Mai-Lan Pham
- Center for Water and Environmental Sensors, Department for Integrated Sensor Systems, University for Continuing Education Krems, Dr.-Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria; (S.M.); (M.B.)
| | - Somayeh Maghsoomi
- Center for Water and Environmental Sensors, Department for Integrated Sensor Systems, University for Continuing Education Krems, Dr.-Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria; (S.M.); (M.B.)
- Institute of Specific Prophylaxis and Tropical Medicine, Medical University of Vienna, Kinderspitalgasse 15, 1090 Vienna, Austria
| | - Martin Brandl
- Center for Water and Environmental Sensors, Department for Integrated Sensor Systems, University for Continuing Education Krems, Dr.-Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria; (S.M.); (M.B.)
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Choi B, Lee J, Park B, Sungjong L. A study of cyanobacterial bloom monitoring using unmanned aerial vehicles, spectral indices, and image processing techniques. Heliyon 2023; 9:e16343. [PMID: 37234667 PMCID: PMC10208818 DOI: 10.1016/j.heliyon.2023.e16343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 05/12/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Last 5 years, the deterioration of water quality caused by algal bloom has emerged as a serious issue in Korea. The method of on-site water sampling to check algal bloom and cyanobacteria is problematic by only partially measuring the site and not fully representing the field, while at the same time, consuming a lot of time and manpower to complete it. In this study, the different spectral indices reflecting the spectral characteristics of photosynthetic pigments were compared. We monitored harmful algal bloom and cyanobacteria in Nakdong rivers with multispectral sensor images from unmanned aerial vehicles (UAVs). The multispectral sensor images were used to assess the applicability of estimating cyanobacteria concentration based on field sample data. Several wavelength analysis techniques were conducted in June, August, and September 2021, when algal bloom intensified, including the analysis of images from multispectral cameras using normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI), blue normalized difference vegetation index (BNDVI), and normalized difference red edge index (NDREI). Radiation correction was performed using the reflection panel to minimize interference that could distort the analysis results of the UAVs image. Regarding field application and correlation analysis, correlation value of NDREI was the highest at 0.7203 in June. And NDVI was the highest at 0.7607 and 0.7773 in August and September, respectively. Based on the results obtained from this study, it is found that it is possible to quickly measure and judge the distribution status of cyanobacteria. In addition, the multispectral sensor installed to the UAV can be considered as a basic technology for monitoring the underwater environment.
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Lan Y, He B, Tan CS, Ming D. Applications of Smartphone-Based Aptasensor for Diverse Targets Detection. BIOSENSORS 2022; 12:bios12070477. [PMID: 35884280 PMCID: PMC9312806 DOI: 10.3390/bios12070477] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 06/27/2022] [Accepted: 06/27/2022] [Indexed: 12/17/2022]
Abstract
Aptamers are a particular class of functional recognition ligands with high specificity and affinity to their targets. As the candidate recognition layer of biosensors, aptamers can be used to sense biomolecules. Aptasensors, aptamer-based biosensors, have been demonstrated to be specific, sensitive, and cost-effective. Furthermore, smartphone-based devices have shown their advantages in binding to aptasensors for point-of-care testing (POCT), which offers an immediate or spontaneous responding time for biological testing. This review describes smartphone-based aptasensors to detect various targets such as metal ions, nucleic acids, proteins, and cells. Additionally, the focus is also on aptasensors-related technologies and configurations.
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Affiliation(s)
- Ying Lan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; (Y.L.); (B.H.)
| | - Baixun He
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; (Y.L.); (B.H.)
| | - Cherie S. Tan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; (Y.L.); (B.H.)
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin 300072, China
- Correspondence: (C.S.T.); (D.M.)
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; (Y.L.); (B.H.)
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin 300072, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
- Correspondence: (C.S.T.); (D.M.)
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Bell JL, Mandel R, Brainard AS, Altschuld J, Wenning RJ. Environmental monitoring tools and strategies in salmon net-pen aquaculture. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2022; 18:950-963. [PMID: 35438842 DOI: 10.1002/ieam.4622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 12/03/2021] [Accepted: 04/18/2022] [Indexed: 06/14/2023]
Abstract
As global salmon production accelerates in response to higher consumer demand for seafood, so does the need for sophisticated monitoring strategies to enable and maintain ethically sound, productive, and environmentally friendly production of fish. Innovative technologies are needed to ensure proper water quality, react to unfavorable hydrodynamic conditions, monitor for changes in fish health, and minimize ecological interactions with indigenous aquatic life, including fish escapes. Automated sensors connected wirelessly to data stations, visualization aids, and acoustic and physical tagging technologies are emerging tools capable of detecting environmental stress and its associated behavioral changes in farmed fish. Computer modeling of the monitoring data collected from a single salmon farm or collection of farms sharing a data network can be used to spot environmental trends vital for anticipating some of the consequences of climate change. Environmental regulations governing salmon farming in coastal areas are becoming more stringent in response to public pressures to protect coastal and ocean resources and to provide for multipurpose use of marine resources. As net-pen salmon aquaculture expands globally, new technologies will be essential to collect and interpret the anticipated larger volumes of data needed to meet these stringent regulatory requirements and to safeguard the high investment costs inherent in salmon farming. Integr Environ Assess Manag 2022;18:950-963. © SETAC.
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Affiliation(s)
| | | | | | - Jon Altschuld
- Chinook Landscape Architecture, LLC, Centennial, Colorado, USA
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Park JA, Seo Y, Sohn H, Park C, Min J, Lee T. Recent Trends in Biosensors Based on Electrochemical and Optical Techniques for Cyanobacterial Neurotoxin Detection. BIOCHIP JOURNAL 2022. [DOI: 10.1007/s13206-022-00054-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Park H, Kim G, Seo Y, Yoon Y, Min J, Park C, Lee T. Improving Biosensors by the Use of Different Nanomaterials: Case Study with Microcystins as Target Analytes. BIOSENSORS 2021; 11:525. [PMID: 34940282 PMCID: PMC8699174 DOI: 10.3390/bios11120525] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 10/09/2021] [Accepted: 12/15/2021] [Indexed: 11/30/2022]
Abstract
The eutrophication of lakes and rivers without adequate rainfall leads to excessive growth of cyanobacterial harmful algal blooms (CyanoHABs) that produce toxicants, green tides, and unpleasant odors. The rapid growth of CyanoHABs owing to global warming, climate change, and the development of rainforests and dams without considering the environmental concern towards lakes and rivers is a serious issue. Humans and livestock consuming the toxicant-contaminated water that originated from CyanoHABs suffer severe health problems. Among the various toxicants produced by CyanoHABs, microcystins (MCs) are the most harmful. Excess accumulation of MC within living organisms can result in liver failure and hepatocirrhosis, eventually leading to death. Therefore, it is essential to precisely detect MCs in water samples. To date, the liquid chromatography-mass spectrometry (LC-MS) and enzyme-linked immunosorbent assay (ELISA) have been the standard methods for the detection of MC and provide precise results with high reliability. However, these methods require heavy instruments and complicated operation steps that could hamper the portability and field-readiness of the detection system. Therefore, in order for this goal to be achieved, the biosensor has been attracted to a powerful alternative for MC detection. Thus far, several types of MC biosensor have been proposed to detect MC in freshwater sample. The introduction of material is a useful option in order to improve the biosensor performance and construct new types of biosensors. Introducing nanomaterials to the biosensor interface provides new phenomena or enhances the sensitivity. In recent times, different types of nanomaterials, such as metallic, carbon-based, and transition metal dichalcogenide-based nanomaterials, have been developed and used to fabricate biosensors for MC detection. This study reviews the recent advancements in different nanomaterial-based MC biosensors.
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Affiliation(s)
- Hanbin Park
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea; (H.P.); (G.K.); (Y.S.); (Y.Y.)
| | - Gahyeon Kim
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea; (H.P.); (G.K.); (Y.S.); (Y.Y.)
| | - Yoseph Seo
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea; (H.P.); (G.K.); (Y.S.); (Y.Y.)
| | - Yejin Yoon
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea; (H.P.); (G.K.); (Y.S.); (Y.Y.)
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea
| | - Chulhwan Park
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea; (H.P.); (G.K.); (Y.S.); (Y.Y.)
| | - Taek Lee
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea; (H.P.); (G.K.); (Y.S.); (Y.Y.)
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Shokravi H, Shokravi Z, Heidarrezaei M, Ong HC, Rahimian Koloor SS, Petrů M, Lau WJ, Ismail AF. Fourth generation biofuel from genetically modified algal biomass: Challenges and future directions. CHEMOSPHERE 2021; 285:131535. [PMID: 34329137 DOI: 10.1016/j.chemosphere.2021.131535] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/27/2021] [Accepted: 07/09/2021] [Indexed: 06/13/2023]
Abstract
Genetic engineering applications in the field of biofuel are rapidly expanding due to their potential to boost biomass productivity while lowering its cost and enhancing its quality. Recently, fourth-generation biofuel (FGB), which is biofuel obtained from genetically modified (GM) algae biomass, has gained considerable attention from academic and industrial communities. However, replacing fossil resources with FGB is still beset with many challenges. Most notably, technical aspects of genetic modification operations need to be more fully articulated and elaborated. However, relatively little attention has been paid to GM algal biomass. There is a limited number of reviews on the progress and challenges faced in the algal genetics of FGB. Therefore, the present review aims to fill this gap in the literature by recapitulating the findings of recent studies and achievements on safe and efficient genetic manipulation in the production of FGB. Then, the essential issues and parameters related to genome editing in algal strains are highlighted. Finally, the main challenges to FGB pertaining to the diffusion risk and regulatory frameworks are addressed. This review concluded that the technical and biosafety aspects of FGB, as well as the complexity and diversity of the related regulations, legitimacy concerns, and health and environmental risks, are among the most important challenges that require a strong commitment at the national/international levels to reach a global consensus.
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Affiliation(s)
- Hoofar Shokravi
- School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor Bahru, Johor, Malaysia
| | - Zahra Shokravi
- Department of Microbiology, Faculty of Basic Science, Islamic Azad University, Science and Research Branch of Tehran, Markazi, Iran
| | - Mahshid Heidarrezaei
- School of Chemical & Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor Bahru, Johor, Malaysia; Institute of Bioproduct Development (IBD), Universiti Teknologi Malaysia, Johor Bahru, 81310, Malaysia
| | - Hwai Chyuan Ong
- Centre for Green Technology, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, 2007, Australia.
| | - Seyed Saeid Rahimian Koloor
- Institute for Nanomaterials, Advanced Technologies, and Innovation (CXI), Technical University of Liberec (TUL), Studentska 2, 461 17, Liberec, Czech Republic
| | - Michal Petrů
- Institute for Nanomaterials, Advanced Technologies, and Innovation (CXI), Technical University of Liberec (TUL), Studentska 2, 461 17, Liberec, Czech Republic
| | - Woei Jye Lau
- School of Chemical & Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor Bahru, Johor, Malaysia; Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia
| | - Ahmad Fauzi Ismail
- School of Chemical & Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor Bahru, Johor, Malaysia; Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia
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