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Li B, Wang Q, Sohail M, Zhang X, He H, Lin L. Facilitating the determination of microcystin toxins with bio-inspired sensors. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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2
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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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Kordasht HK, Hassanpour S, Baradaran B, Nosrati R, Hashemzaei M, Mokhtarzadeh A, la Guardia MD. Biosensing of microcystins in water samples; recent advances. Biosens Bioelectron 2020; 165:112403. [PMID: 32729523 DOI: 10.1016/j.bios.2020.112403] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 06/16/2020] [Accepted: 06/19/2020] [Indexed: 02/07/2023]
Abstract
Safety and quality of water are significant matters for agriculture, animals and human health. Microcystins, as secondary metabolite of cyanobacteria (blue-green algae) and cyclic heptapeptide cyanotoxin, are one of the main marine toxins in continental aquatic ecosystems. More than 100 microcystins have been identified, of which MC-LR is the most important type due to its high toxicity and common detection in the environment. Climate change is an impressive factor with effects on cyanobacterial blooms as source of microcystins. The presence of this cyanotoxin in freshwater, drinking water, water reservoir supplies and food (vegetable, fish and shellfish) has created a common phenomenon in eutrophic freshwater ecosystems worldwide. International public health organizations have categorized microcystins as a kind of neurotoxin and carcinogen. There are several conventional methods for detection of microcystins. The limitations of traditional methods have encouraged the development of innovative methods for detection of microcystins. In recent years, the developed sensor techniques, with advantages, such as accuracy, reproducibility, portability and low cost, have attracted considerable attention. This review compares the well-known of biosensor types for detection of microcystins with a summary of their analytical performance.
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Affiliation(s)
- Houman Kholafazad Kordasht
- Department of Food Hygiene and Aquatic, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
| | - Soodabeh Hassanpour
- Department of Analytical Chemistry, Faculty of Science, Palacky University Olomouc, 17. Listopadu 12, 77146, Olomouc, Czech Republic
| | - Behzad Baradaran
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Rahim Nosrati
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran; Cellular and Molecular Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Mahmoud Hashemzaei
- Department of Pharmacodynamics and Toxicology, School of Pharmacy, Zabol University of Medical Sciences, Zabol, Iran
| | - Ahad Mokhtarzadeh
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Miguel de la Guardia
- Department of Analytical Chemistry, University of Valencia, Dr. Moliner 50, 46100, Burjassot, Valencia, Spain.
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Su X, Sutarlie L, Loh XJ. Sensors, Biosensors, and Analytical Technologies for Aquaculture Water Quality. RESEARCH (WASHINGTON, D.C.) 2020; 2020:8272705. [PMID: 32149280 PMCID: PMC7048950 DOI: 10.34133/2020/8272705] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 01/08/2020] [Indexed: 12/20/2022]
Abstract
In aquaculture industry, fish, shellfish, and aquatic plants are cultivated in fresh, salt, or brackish waters. The increasing demand of aquatic products has stimulated the rapid growth of aquaculture industries. How to effectively monitor and control water quality is one of the key concerns for aquaculture industry to ensure high productivity and high quality. There are four major categories of water quality concerns that affect aquaculture cultivations, namely, (1) physical parameters, e.g., pH, temperature, dissolved oxygen, and salinity, (2) organic contaminants, (3) biochemical hazards, e.g., cyanotoxins, and (4) biological contaminants, i.e., pathogens. While the physical parameters are affected by climate changes, the latter three are considered as environmental factors. In this review, we provide a comprehensive summary of sensors, biosensors, and analytical technologies available for monitoring aquaculture water quality. They include low-cost commercial sensors and sensor network setups for physical parameters. They also include chromatography, mass spectrometry, biochemistry, and molecular methods (e.g., immunoassays and polymerase chain reaction assays), culture-based method, and biophysical technologies (e.g., biosensors and nanosensors) for environmental contamination factors. According to the different levels of sophistication of various analytical techniques and the information they can provide (either fine fingerprint, highly accurate quantification, semiquantification, qualitative detection, or fast screening), we will comment on how they may be used as complementary tools, as well as their potential and gaps toward current demand of real-time, online, and/or onsite detection.
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Affiliation(s)
- Xiaodi Su
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research, 2 Fusionopolis Way. Innovis #08-03, Singapore 138634
- Department of Chemistry, National University of Singapore, Block S8, Level 3, 3 Science Drive 3, Singapore 117543
| | - Laura Sutarlie
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research, 2 Fusionopolis Way. Innovis #08-03, Singapore 138634
| | - Xian Jun Loh
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research, 2 Fusionopolis Way. Innovis #08-03, Singapore 138634
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Moghimi S, Morsali A, Heravi MM, Beyramabadi SA. Quantum‐Chemical Modeling of Cyclic Peptide‐Selenium Nanoparticle as an Anticancer Drug Nanocarrier. B KOREAN CHEM SOC 2019. [DOI: 10.1002/bkcs.11912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Sara Moghimi
- Department of Chemistry, Mashhad BranchIslamic Azad University Mashhad Iran
| | - Ali Morsali
- Department of Chemistry, Mashhad BranchIslamic Azad University Mashhad Iran
- Research Center for Animal Development Applied Biology, Mashhad BranchIslamic Azad University Mashhad 917568 Iran
| | - Mohammad M. Heravi
- Department of Chemistry, Mashhad BranchIslamic Azad University Mashhad Iran
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Bergdahl GE, Hedström M, Mattiasson B. Capacitive Sensor to Monitor Enzyme Activity by Following Degradation of Macromolecules in Real Time. Appl Biochem Biotechnol 2019; 189:374-383. [PMID: 31020512 PMCID: PMC6754820 DOI: 10.1007/s12010-019-03006-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 03/27/2019] [Indexed: 11/29/2022]
Abstract
A capacitive sensor was developed to analyze the presence and enzymatic activity of a model protease from standard solutions by following the degradation of the substrate in real time. The enzyme was chosen based on its specific digestion of the hinge region of immunoglobulin G (IgG). Real-time enzyme activity was monitored by measuring the change in capacitance (∆C) based on the release of IgG fragments after enzymatic digestion by the enzyme. The results indicated that the developed capacitive system might be used successfully for label-free and real-time monitoring of enzymatic activity of different enzymes in a sensitive, rapid, and inexpensive manner in biotechnological, environmental, and clinical applications.
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Affiliation(s)
- Gizem Ertürk Bergdahl
- CapSenze Biosystems AB, Lund, Sweden. .,Department of Biotechnology, Lund University, Lund, Sweden.
| | - Martin Hedström
- CapSenze Biosystems AB, Lund, Sweden.,Department of Biotechnology, Lund University, Lund, Sweden
| | - Bo Mattiasson
- CapSenze Biosystems AB, Lund, Sweden.,Department of Biotechnology, Lund University, Lund, Sweden
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Nelis JLD, Tsagkaris AS, Zhao Y, Lou-Franco J, Nolan P, Zhou H, Cao C, Rafferty K, Hajslova J, Elliott CT, Campbell K. The end user sensor tree: An end-user friendly sensor database. Biosens Bioelectron 2019; 130:245-253. [PMID: 30769289 DOI: 10.1016/j.bios.2019.01.055] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 01/21/2019] [Accepted: 01/22/2019] [Indexed: 11/18/2022]
Abstract
Detailed knowledge regarding sensor based technologies for the detection of food contamination often remains concealed within scientific journals or divided between numerous commercial kits which prevents optimal connectivity between companies and end-users. To overcome this barrier The End user Sensor Tree (TEST) has been developed. TEST is a comprehensive, interactive platform including over 900 sensor based methods, retrieved from the scientific literature and commercial market, for aquatic-toxins, mycotoxins, pesticides and microorganism detection. Key analytical parameters are recorded in excel files while a novel classification system is used which provides, tailor-made, experts' feedback using an online decision tree and database introduced here. Additionally, a critical comparison of reviewed sensors is presented alongside a global perspective on research pioneers and commercially available products. The lack of commercial uptake of the academically popular electrochemical and nanomaterial based sensors, as well as multiplexing platforms became very apparent and reasons for this anomaly are discussed.
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Affiliation(s)
- J L D Nelis
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK
| | - A S Tsagkaris
- Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Technická 5, 166 28 Prague 6 - Dejvice, Prague, Czech Republic
| | - Y Zhao
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK; School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Stranmillis Road, Belfast, UK
| | - J Lou-Franco
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK
| | - P Nolan
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK
| | - H Zhou
- School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Stranmillis Road, Belfast, UK; Department of Informatics, University of Leicester, University Road, Leicester LE1 7RH, UK
| | - C Cao
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK
| | - K Rafferty
- School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Stranmillis Road, Belfast, UK
| | - J Hajslova
- Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Technická 5, 166 28 Prague 6 - Dejvice, Prague, Czech Republic
| | - C T Elliott
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK
| | - K Campbell
- Institute for Global Food Security, School of Biological Sciences, Queen's University, David Keir Building, Stranmillis Road, Belfast BT9 5AG, UK.
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Ertürk G, Hedström M, Mattiasson B, Ruzgas T, Lood R. Highly sensitive detection and quantification of the secreted bacterial benevolence factor RoxP using a capacitive biosensor: A possible early detection system for oxidative skin diseases. PLoS One 2018; 13:e0193754. [PMID: 29494704 PMCID: PMC5833275 DOI: 10.1371/journal.pone.0193754] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 02/16/2018] [Indexed: 01/20/2023] Open
Abstract
The impact of the microbiota on our health is rapidly gaining interest. While several bacteria have been associated with disease, and others being indicated as having a probiotic effect, the individual biomolecules behind these alterations are often not known. A major problem in the study of these factors in vivo is their low abundance in complex environments. We recently identified the first secreted bacterial antioxidant protein, RoxP, from the skin commensal Propionibacterium acnes, suggesting its relevance for maintaining the redox homeostasis on the skin. In order to study the effect, and prevalence, of RoxP in vivo, a capacitive biosensor with a recognition surface based on molecular imprinting was used to detect RoxP on skin in vivo. In vitro analyses demonstrated the ability to detect and quantify RoxP in a concentration range of 1 x 10−13 M to 1 x 10−8 M from human skin swabs; with a limit of detection of 2.5 x 10−19 M in buffer systems. Further, the biosensor was highly selective, not responding to any other secreted protein from P. acnes. Thus, it was possible to demonstrate the presence, and quantity, of RoxP on human skin. Therefore, the developed biosensor is a very promising tool for the detection of RoxP from clinical samples, offering a rapid, cost-effective and sensitive means of detecting low-abundant bacterial proteins in vivo in complex milieus.
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Affiliation(s)
- Gizem Ertürk
- Department of Clinical Sciences Lund, Division of Infection Medicine, Biomedical Center B14, Lund University, Lund, Sweden
| | - Martin Hedström
- Department of Biotechnology, Lund University, Lund, Sweden
- CapSenze Biosystems AB, Lund, Sweden
| | - Bo Mattiasson
- Department of Biotechnology, Lund University, Lund, Sweden
- CapSenze Biosystems AB, Lund, Sweden
| | - Tautgirdas Ruzgas
- Department of Biomedical Sciences, Faculty of Health and Society, Malmö University, Malmö, Sweden
| | - Rolf Lood
- Department of Clinical Sciences Lund, Division of Infection Medicine, Biomedical Center B14, Lund University, Lund, Sweden
- * E-mail:
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Lebogang L, Jantra J, Hedström M, Mattiasson B. Electrochemical Flow-ELISA for Rapid and Sensitive Determination of Microcystin-LR Using Automated Sequential Injection System. SENSORS 2017; 17:s17071639. [PMID: 28714899 PMCID: PMC5539796 DOI: 10.3390/s17071639] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 06/30/2017] [Accepted: 07/05/2017] [Indexed: 11/16/2022]
Abstract
An amperometric immunoanalysis system based on monoclonal antibodies immobilized on Sepharose beads and packed into a micro-immunocolumn was developed for the quantification of microcystin-LR. Microcystin-LR (MCLR) was used as a reference microcystin variant. Inside the immunocolumn, free microcystins and microcystin-horseradish peroxidase (tracer) were sequentially captured by the immobilized antibodies, and the detection was performed electrochemically using Super AquaBlue ELISA substrate 2,2'-azinobis(3-ethylbenzothiazoline-sulfonic acid) (ABTS). The ABTS●+ generated by enzymatic oxidation of ABTS was electrochemically determined at a carbon working electrode by applying a reduction potential set at 0.4 V versus Ag/AgCl reference electrode. The peak current intensity was inversely proportional to the amount of analyte bound to the immunocolumn. The amperometric flow-ELISA system, which was automatically controlled through the CapSenzeTM (Lund, Sweden) computer software, enabled determination of MCLR as low as 0.01 µg/L. The assay time was very short (20 min for one assay cycle). In addition, the electrochemical signals were not significantly affected by possible interferences which could be present in the real samples. Along with the simplicity of automation, this makes the developed method a promising tool for use in water quality assessment.
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Affiliation(s)
- Lesedi Lebogang
- Department of Biotechnology, Lund University, Box 124, SE-22100 Lund, Sweden.
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Plot 10071, Palapye, Botswana.
| | - Jongjit Jantra
- Department of Biotechnology, Lund University, Box 124, SE-22100 Lund, Sweden.
- CapSenze Biosystems AB, Scheelevägen 22, SE-22363 Lund, Sweden.
| | - Martin Hedström
- Department of Biotechnology, Lund University, Box 124, SE-22100 Lund, Sweden.
- CapSenze Biosystems AB, Scheelevägen 22, SE-22363 Lund, Sweden.
| | - Bo Mattiasson
- Department of Biotechnology, Lund University, Box 124, SE-22100 Lund, Sweden.
- CapSenze Biosystems AB, Scheelevägen 22, SE-22363 Lund, Sweden.
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Capacitive Biosensors and Molecularly Imprinted Electrodes. SENSORS 2017; 17:s17020390. [PMID: 28218689 PMCID: PMC5336051 DOI: 10.3390/s17020390] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 01/16/2017] [Accepted: 02/08/2017] [Indexed: 01/05/2023]
Abstract
Capacitive biosensors belong to the group of affinity biosensors that operate by registering direct binding between the sensor surface and the target molecule. This type of biosensors measures the changes in dielectric properties and/or thickness of the dielectric layer at the electrolyte/electrode interface. Capacitive biosensors have so far been successfully used for detection of proteins, nucleotides, heavy metals, saccharides, small organic molecules and microbial cells. In recent years, the microcontact imprinting method has been used to create very sensitive and selective biorecognition cavities on surfaces of capacitive electrodes. This chapter summarizes the principle and different applications of capacitive biosensors with an emphasis on microcontact imprinting method with its recent capacitive biosensor applications.
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Ertürk G, Hedström M, Mattiasson B. A sensitive and real-time assay of trypsin by using molecular imprinting-based capacitive biosensor. Biosens Bioelectron 2016; 86:557-565. [DOI: 10.1016/j.bios.2016.07.046] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 07/11/2016] [Accepted: 07/12/2016] [Indexed: 12/17/2022]
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Gutierrez R AV, Hedström M, Mattiasson B. Screening of self-assembled monolayer for aflatoxin B1 detection using immune-capacitive sensor. ACTA ACUST UNITED AC 2015; 8:144-151. [PMID: 28352584 PMCID: PMC4980746 DOI: 10.1016/j.btre.2015.10.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 09/23/2015] [Accepted: 10/04/2015] [Indexed: 02/07/2023]
Abstract
A capacitive biosensor was used for detection of aflatoxin B1. Two different methods for cleaning gold electrodes were evaluated using cyclic voltammetry in the presence of ferricyanide as redox couple. The methods involve use of a sequence of cleaning steps avoiding the use of Piranha solution and plasma cleaner. Anti-aflatoxin B1 was immobilized on self-assembled monolayers (SAM). The immune-capacitive biosensor is able to detect aflatoxin B1 concentrations in a linear range of 3.2 × 10−12 M to 3.2 × 10−9 M when thiourea was used to form the SAM; 3.2 × 10−9 M to 3.2 × 10−7 M when thioctic acid was used. When the gold surface was isolated with tyramine-electropolymerization linear ranges of 3.2 × 10−13 M to 3.2 × 10−7 M and 3.2 × 10−9 M to 3.2 × 10−7 M where obtained, respectively. The results obtained show the difference in linear range, limit of detection, and limit of quantification when different self-assembled monolayers are used for aflatoxin B1 detection.
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Affiliation(s)
- Alvaro V Gutierrez R
- Department of Biotechnology, Lund University, Lund, Sweden; IIFB, FCFB, Universidad Mayor de San Andres, La Paz, Bolivia
| | - Martin Hedström
- Department of Biotechnology, Lund University, Lund, Sweden; CapSenze HB, Medicon Village, Lund, Sweden
| | - Bo Mattiasson
- Department of Biotechnology, Lund University, Lund, Sweden; CapSenze HB, Medicon Village, Lund, Sweden
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