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Liu Y, Chen L, Yu L, Yang C, Zhu J, Wang J, Zheng J, Wang F, He G, Jiang F, Sun C, Zheng L, Yang Y. Confinement-enhanced microalgal individuals biosensing for digital atrazine assay. Biosens Bioelectron 2023; 241:115647. [PMID: 37688850 DOI: 10.1016/j.bios.2023.115647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/11/2023]
Abstract
Microalgal sensors are widely recognized for their high sensitivity, accessibility, and low cost. However, the current dilemma of motion-induced spatial phase changes and concentration-related multiple scattering interferes with induced test instability and limited sensitivity, which has hindered their practical applications. Here, a differentiated strategy, named confinement-enhanced microalgal biosensing (C-EMB), is developed and proposed to pave the way. The in-situ printed microgel trap is designed to confine Chlamydomonas reinhardtii individuals, stabilizing their spatial phase. The microgel trap arrays are introduced to eliminate the multiple scattering of microalgae, breaking the existing effective concentration in traditional microalgal sensing and enabling sensitive assays. The integration with lab-on-a-chip technology and a developed digital imaging algorithm empower portable and automated detection. With this system, a microalgae analyzer is developed for atrazine detection, featuring a linear range of 0.04-100 μg/L. We assess the system's performance through practical atrazine assays on commercial food, using a double-blind test against a standard instrument. Our results demonstrate the good accuracy and test stability of this system with the mean bias atrazine detection in corn and sugarcane juice samples (SD) were 1.661 μg/L (3.122 μg/L) and 3.144 μg/L (4.125 μg/L), respectively. This method provides a new paradigm of microalgal sensors and should advance the further applications of microalgal sensors in commercial and practical settings.
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Affiliation(s)
- Yantong Liu
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China; Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Longfei Chen
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China; Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Le Yu
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Chen Yang
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Jiaomeng Zhu
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Jian Wang
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Jingjing Zheng
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Fang Wang
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Guoqing He
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Fenghua Jiang
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Chengjun Sun
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Li Zheng
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Yi Yang
- School of Physics & Technology, Department of Clinical Laboratory, Institute of Translational Medicine, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China; Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China.
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Kaushal JB, Raut P, Kumar S. Organic Electronics in Biosensing: A Promising Frontier for Medical and Environmental Applications. BIOSENSORS 2023; 13:976. [PMID: 37998151 PMCID: PMC10669243 DOI: 10.3390/bios13110976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 11/25/2023]
Abstract
The promising field of organic electronics has ushered in a new era of biosensing technology, thus offering a promising frontier for applications in both medical diagnostics and environmental monitoring. This review paper provides a comprehensive overview of organic electronics' remarkable progress and potential in biosensing applications. It explores the multifaceted aspects of organic materials and devices, thereby highlighting their unique advantages, such as flexibility, biocompatibility, and low-cost fabrication. The paper delves into the diverse range of biosensors enabled by organic electronics, including electrochemical, optical, piezoelectric, and thermal sensors, thus showcasing their versatility in detecting biomolecules, pathogens, and environmental pollutants. Furthermore, integrating organic biosensors into wearable devices and the Internet of Things (IoT) ecosystem is discussed, wherein they offer real-time, remote, and personalized monitoring solutions. The review also addresses the current challenges and future prospects of organic biosensing, thus emphasizing the potential for breakthroughs in personalized medicine, environmental sustainability, and the advancement of human health and well-being.
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Affiliation(s)
- Jyoti Bala Kaushal
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA; (J.B.K.); (P.R.)
| | - Pratima Raut
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA; (J.B.K.); (P.R.)
| | - Sanjay Kumar
- Durham School of Architectural Engineering and Construction, Scott Campus, University of Nebraska-Lincoln, Omaha, NE 68182, USA
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Song X, Fredj Z, Zheng Y, Zhang H, Rong G, Bian S, Sawan M. Biosensors for waterborne virus detection: Challenges and strategies. J Pharm Anal 2023; 13:1252-1268. [PMID: 38174120 PMCID: PMC10759259 DOI: 10.1016/j.jpha.2023.08.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/20/2023] [Accepted: 08/29/2023] [Indexed: 01/05/2024] Open
Abstract
Waterborne viruses that can be harmful to human health pose significant challenges globally, affecting health care systems and the economy. Identifying these waterborne pathogens is essential for preventing diseases and protecting public health. However, handling complex samples such as human and wastewater can be challenging due to their dynamic and complex composition and the ultralow concentration of target analytes. This review presents a comprehensive overview of the latest breakthroughs in waterborne virus biosensors. It begins by highlighting several promising strategies that enhance the sensing performance of optical and electrochemical biosensors in human samples. These strategies include optimizing bioreceptor selection, transduction elements, signal amplification, and integrated sensing systems. Furthermore, the insights gained from biosensing waterborne viruses in human samples are applied to improve biosensing in wastewater, with a particular focus on sampling and sample pretreatment due to the dispersion characteristics of waterborne viruses in wastewater. This review suggests that implementing a comprehensive system that integrates the entire waterborne virus detection process with high-accuracy analysis could enhance virus monitoring. These findings provide valuable insights for improving the effectiveness of waterborne virus detection, which could have significant implications for public health and environmental management.
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Affiliation(s)
- Xixi Song
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Zina Fredj
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Yuqiao Zheng
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Hongyong Zhang
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
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Kilic NM, Singh S, Keles G, Cinti S, Kurbanoglu S, Odaci D. Novel Approaches to Enzyme-Based Electrochemical Nanobiosensors. BIOSENSORS 2023; 13:622. [PMID: 37366987 DOI: 10.3390/bios13060622] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/29/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
Electrochemistry is a genuinely interdisciplinary science that may be used in various physical, chemical, and biological domains. Moreover, using biosensors to quantify biological or biochemical processes is critical in medical, biological, and biotechnological applications. Nowadays, there are several electrochemical biosensors for various healthcare applications, such as for the determination of glucose, lactate, catecholamines, nucleic acid, uric acid, and so on. Enzyme-based analytical techniques rely on detecting the co-substrate or, more precisely, the products of a catalyzed reaction. The glucose oxidase enzyme is generally used in enzyme-based biosensors to measure glucose in tears, blood, etc. Moreover, among all nanomaterials, carbon-based nanomaterials have generally been utilized thanks to the unique properties of carbon. The sensitivity can be up to pM levels using enzyme-based nanobiosensor, and these sensors are very selective, as all enzymes are specific for their substrates. Furthermore, enzyme-based biosensors frequently have fast reaction times, allowing for real-time monitoring and analyses. These biosensors, however, have several drawbacks. Changes in temperature, pH, and other environmental factors can influence the stability and activity of the enzymes, affecting the reliability and repeatability of the readings. Additionally, the cost of the enzymes and their immobilization onto appropriate transducer surfaces might be prohibitively expensive, impeding the large-scale commercialization and widespread use of biosensors. This review discusses the design, detection, and immobilization techniques for enzyme-based electrochemical nanobiosensors, and recent applications in enzyme-based electrochemical studies are evaluated and tabulated.
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Affiliation(s)
- Nur Melis Kilic
- Faculty of Science Biochemistry Department, Ege University, 35100 Bornova, Turkey
| | - Sima Singh
- Department of Pharmacy, University of Naples Federico II, 80138 Naples, Italy
| | - Gulsu Keles
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, 06560 Ankara, Turkey
| | - Stefano Cinti
- Department of Pharmacy, University of Naples Federico II, 80138 Naples, Italy
| | - Sevinc Kurbanoglu
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, 06560 Ankara, Turkey
| | - Dilek Odaci
- Faculty of Science Biochemistry Department, Ege University, 35100 Bornova, Turkey
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Rathnayake IVN, Megharaj M, Naidu R. Sol-Gel Immobilized Optical Microalgal Biosensor for Monitoring Cd, Cu and Zn Bioavailability in Freshwater. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2023; 110:73. [PMID: 37000234 DOI: 10.1007/s00128-023-03709-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 03/02/2023] [Indexed: 06/19/2023]
Abstract
While analytical measurements provide the quantitative estimation of the total amount of metals present in a sample, they do not reflect the truly bioavailable fraction of metal which reflects the adverse biological effect. Hence the development of monitoring tools for detecting bioavailable toxic metals has become a priority in environmental monitoring activities. An optical whole-cell biosensor was constructed using the microalga Scenedesmus subspicatus MM1 immobilizing in inorganic silica hydrogels using the sol-gel technique to detect bioavailable Cadmium (Cd2+), Copper (Cu2+) and Zinc (Zn+) in freshwater. Conditions for optimum biosensor performance have been established regarding effective pH range, cell density, exposure time, and storage stability. The optimum response for the biosensor was dependent on the pH of the matrix, cell concentration and exposure time were derived. The biosensor was operational for four weeks. The limit of detection for the algal biosensor was determined as 9.0 × 10-1, 9.1 × 10-1, and 8.8 × 10-1 mg/L for Cd, Cu and Zn, respectively. Whole-cell cell biosensor will be highly useful since it comprises a single microalgal species able to detect the bioavailable content of Cd2+, Cu2+, and Zn2+ in freshwater.
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Affiliation(s)
- I V N Rathnayake
- Centre for Environmental Risk Assessment and Remediation (CERAR), University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA, 5095, Australia.
- Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), University of Newcastle, Callaghan, NSW, 2308, Australia.
- Department of Microbiology, Faculty of Science, University of Kelaniya, Kelaniya, GQ, 11600, Sri Lanka.
| | - Mallavarapu Megharaj
- Global Centre for Environmental Remediation (G.C.E.R.), College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW, 2308, Australia
- Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Ravi Naidu
- Global Centre for Environmental Remediation (G.C.E.R.), College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW, 2308, Australia
- Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), University of Newcastle, Callaghan, NSW, 2308, Australia
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Lovecchio N, Costantini F, Nascetti A, de Cesare G, Caputo D. Thin-Film-Based Multifunctional System for Optical Detection and Thermal Treatment of Biological Samples. BIOSENSORS 2022; 12:bios12110969. [PMID: 36354478 PMCID: PMC9688047 DOI: 10.3390/bios12110969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/24/2022] [Accepted: 10/31/2022] [Indexed: 05/31/2023]
Abstract
In this work, we present a multifunctional Lab-on-Chip (LoC) platform based on hydrogenated amorphous silicon sensors suitable for a wide range of application in the fields of biochemical and food quality control analysis. The proposed system includes a LoC fabricated on a 5 cm × 5 cm glass substrate and a set of electronic boards for controlling the LoC functionalities. The presented Lab-on-Chip comprises light and temperature sensors, a thin film resistor acting as a heating source, and an optional thin film interferential filter suitable for fluorescence analysis. The developed electronics allows to control the thin film heater, a light source for fluorescence and absorption measurements, and the photosensors to acquire luminescent signals. All these modules are enclosed in a black metal box ensuring the portability of the whole platform. System performances have been evaluated in terms of sensor optical performances and thermal control achievements. For optical sensors, we have found a minimum number of detectable photons of 8 × 104 s-1·cm-2 at room temperature, 1.6 × 106 s-1·cm-2 in presence of fluorescence excitation source, and 2.4 × 106 s-1·cm-2 at 90 °C. From a thermal management point of view, we have obtained heating and cooling rates both equal to 2.2 °C/s, and a temperature sensor sensitivity of about 3 mV/°C even in presence of light. The achieved performances demonstrate the possibility to simultaneously use all integrated sensors and actuators, making promising the presented platform for a wide range of application fields.
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Affiliation(s)
- Nicola Lovecchio
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy
| | - Francesca Costantini
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy
- CREA-DC Research Centre for Plant Protection and Certification, 00156 Rome, Italy
| | - Augusto Nascetti
- School of Aerospace Engineering, Sapienza University of Rome, 00138 Rome, Italy
| | - Giampiero de Cesare
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy
| | - Domenico Caputo
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy
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Ma Z, Meliana C, Munawaroh HSH, Karaman C, Karimi-Maleh H, Low SS, Show PL. Recent advances in the analytical strategies of microbial biosensor for detection of pollutants. CHEMOSPHERE 2022; 306:135515. [PMID: 35772520 DOI: 10.1016/j.chemosphere.2022.135515] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/10/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
Microbial biosensor which integrates different types of microorganisms, such as bacteria, microalgae, fungi, and virus have become suitable technologies to address limitations of conventional analytical methods. The main applications of biosensors include the detection of environmental pollutants, pathogenic bacteria and compounds related to illness, and food quality. Each type of microorganisms possesses advantages and disadvantages with different mechanisms to detect the analytes of interest. Furthermore, there is an increasing trend in genetic modifications for the development of microbial biosensors due to potential for high-throughput analysis and portability. Many review articles have discussed the applications of microbial biosensor, but many of them focusing only about bacterial-based biosensor although other microbes also possess many advantages. Additionally, reviews on the applications of all microbes as biosensor especially viral and microbial fuel cell biosensors are also still limited. Therefore, this review summarizes all the current applications of bacterial-, microalgal-, fungal-, viral-based biosensor in regard to environmental, food, and medical-related applications. The underlying mechanism of each microbes to detect the analytes are also discussed. Additionally, microbial fuel cell biosensors which have great potential in the future are also discussed. Although many advantageous microbial-based biosensors have been discovered, other areas such as forensic detection, early detection of bacteria or virus species that can lead to pandemics, and others still need further investigation. With that said, microbial-based biosensors have promising potential for vast applications where the biosensing performance of various microorganisms are presented in this review along with future perspectives to resolve problems related on microbial biosensors.
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Affiliation(s)
- Zengling Ma
- Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou, 325035, China.
| | - Catarina Meliana
- Department of Food Science and Nutrition, Faculty of Life Science, Indonesia International Institute of Life Sciences, Jakarta, 13210, Indonesia
| | - Heli Siti Halimatul Munawaroh
- Study Program of Chemistry, Department of Chemistry Education, Universitas Pendidikan Indonesia, Jalan Dr. Setiabudhi 229, Bandung, 40154, Indonesia
| | - Ceren Karaman
- Akdeniz University, Department of Electricity and Energy, Antalya, 07070, Turkey
| | - Hassan Karimi-Maleh
- School of Resources and Environment, University of Electronic Science and Technology of China, P.O. Box 611731, Xiyuan Ave, Chengdu, PR China; Department of Chemical Engineering and Energy, Quchan University of Technology, Quchan, 9477177870, Iran
| | - Sze Shin Low
- Research Centre of Life Science and Healthcare, China Beacons Institute, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo, 315100, Zhejiang, China.
| | - Pau Loke Show
- Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou, 325035, China; Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia.
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Allouzi MMA, Allouzi S, Al-Salaheen B, Khoo KS, Rajendran S, Sankaran R, Sy-Toan N, Show PL. Current advances and future trend of nanotechnology as microalgae-based biosensor. Biochem Eng J 2022. [DOI: 10.1016/j.bej.2022.108653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Hui Y, Huang Z, Alahi MEE, Nag A, Feng S, Mukhopadhyay SC. Recent Advancements in Electrochemical Biosensors for Monitoring the Water Quality. BIOSENSORS 2022; 12:bios12070551. [PMID: 35884353 PMCID: PMC9313366 DOI: 10.3390/bios12070551] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/10/2022] [Accepted: 07/13/2022] [Indexed: 05/06/2023]
Abstract
The release of chemicals and microorganisms from various sources, such as industry, agriculture, animal farming, wastewater treatment plants, and flooding, into water systems have caused water pollution in several parts of our world, endangering aquatic ecosystems and individual health. World Health Organization (WHO) has introduced strict standards for the maximum concentration limits for nutrients and chemicals in drinking water, surface water, and groundwater. It is crucial to have rapid, sensitive, and reliable analytical detection systems to monitor the pollution level regularly and meet the standard limit. Electrochemical biosensors are advantageous analytical devices or tools that convert a bio-signal by biorecognition elements into a significant electrical response. Thanks to the micro/nano fabrication techniques, electrochemical biosensors for sensitive, continuous, and real-time detection have attracted increasing attention among researchers and users worldwide. These devices take advantage of easy operation, portability, and rapid response. They can also be miniaturized, have a long-life span and a quick response time, and possess high sensitivity and selectivity and can be considered as portable biosensing assays. They are of special importance due to their great advantages such as affordability, simplicity, portability, and ability to detect at on-site. This review paper is concerned with the basic concepts of electrochemical biosensors and their applications in various water quality monitoring, such as inorganic chemicals, nutrients, microorganisms' pollution, and organic pollutants, especially for developing real-time/online detection systems. The basic concepts of electrochemical biosensors, different surface modification techniques, bio-recognition elements (BRE), detection methods, and specific real-time water quality monitoring applications are reviewed thoroughly in this article.
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Affiliation(s)
- Yun Hui
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;
| | - Zhaoling Huang
- School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China;
| | - Md Eshrat E. Alahi
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;
- Correspondence: (M.E.E.A.); (S.F.)
| | - Anindya Nag
- Faculty of Electrical and Computer Engineering, Technische Universität Dresden, 01062 Dresden, Germany;
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, 01069 Dresden, Germany
| | - Shilun Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Correspondence: (M.E.E.A.); (S.F.)
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González-González RB, Flores-Contreras EA, González-González E, Torres Castillo NE, Parra-Saldívar R, Iqbal HMN. Biosensor Constructs for the Monitoring of Persistent Emerging Pollutants in Environmental Matrices. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00421] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
| | | | | | | | | | - Hafiz M. N. Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
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Caroleo F, Magna G, Naitana ML, Di Zazzo L, Martini R, Pizzoli F, Muduganti M, Lvova L, Mandoj F, Nardis S, Stefanelli M, Di Natale C, Paolesse R. Advances in Optical Sensors for Persistent Organic Pollutant Environmental Monitoring. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22072649. [PMID: 35408267 PMCID: PMC9002670 DOI: 10.3390/s22072649] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/15/2022] [Accepted: 03/25/2022] [Indexed: 05/17/2023]
Abstract
Optical chemical sensors are widely applied in many fields of modern analytical practice, due to their simplicity in preparation and signal acquisition, low costs, and fast response time. Moreover, the construction of most modern optical sensors requires neither wire connections with the detector nor sophisticated and energy-consuming hardware, enabling wireless sensor development for a fast, in-field and online analysis. In this review, the last five years of progress (from 2017 to 2021) in the field of optical chemical sensors development for persistent organic pollutants (POPs) is provided. The operating mechanisms, the transduction principles and the types of sensing materials employed in single selective optical sensors and in multisensory systems are reviewed. The selected examples of optical sensors applications are reported to demonstrate the benefits and drawbacks of optical chemical sensor use for POPs assessment.
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Affiliation(s)
- Fabrizio Caroleo
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Gabriele Magna
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Mario Luigi Naitana
- Department of Science, Roma Tre University, Via della Vasca Navale 84, 00146 Rome, Italy;
| | - Lorena Di Zazzo
- Department of Electronic Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy; (L.D.Z.); (C.D.N.)
| | - Roberto Martini
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Francesco Pizzoli
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Mounika Muduganti
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Larisa Lvova
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
- Correspondence: ; Tel.: +39-06725974732
| | - Federica Mandoj
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Sara Nardis
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Manuela Stefanelli
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
| | - Corrado Di Natale
- Department of Electronic Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy; (L.D.Z.); (C.D.N.)
| | - Roberto Paolesse
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy; (F.C.); (G.M.); (R.M.); (F.P.); (M.M.); (F.M.); (S.N.); (M.S.); (R.P.)
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12
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Gavrilaș S, Ursachi CȘ, Perța-Crișan S, Munteanu FD. Recent Trends in Biosensors for Environmental Quality Monitoring. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22041513. [PMID: 35214408 PMCID: PMC8879434 DOI: 10.3390/s22041513] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 05/07/2023]
Abstract
The monitoring of environmental pollution requires fast, reliable, cost-effective and small devices. This need explains the recent trends in the development of biosensing devices for pollutant detection. The present review aims to summarize the newest trends regarding the use of biosensors to detect environmental contaminants. Enzyme, whole cell, antibody, aptamer, and DNA-based biosensors and biomimetic sensors are discussed. We summarize their applicability to the detection of various pollutants and mention their constructive characteristics. Several detection principles are used in biosensor design: amperometry, conductometry, luminescence, etc. They differ in terms of rapidity, sensitivity, profitability, and design. Each one is characterized by specific selectivity and detection limits depending on the sensitive element. Mimetic biosensors are slowly gaining attention from researchers and users due to their advantages compared with classical ones. Further studies are necessary for the development of robust biosensing devices that can successfully be used for the detection of pollutants from complex matrices without prior sample preparation.
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13
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Wlodkowic D, Karpiński TM. Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives. SENSORS 2021; 21:s21217028. [PMID: 34770335 PMCID: PMC8588540 DOI: 10.3390/s21217028] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 12/14/2022]
Abstract
Continuous monitoring and early warning of potential water contamination with toxic chemicals is of paramount importance for human health and sustainable food production. During the last few decades there have been noteworthy advances in technologies for the automated sensing of physicochemical parameters of water. These do not translate well into online monitoring of chemical pollutants since most of them are either incapable of real-time detection or unable to detect impacts on biological organisms. As a result, biological early warning systems have been proposed to supplement conventional water quality test strategies. Such systems can continuously evaluate physiological parameters of suitable aquatic species and alert the user to the presence of toxicants. In this regard, single cellular organisms, such as bacteria, cyanobacteria, micro-algae and vertebrate cell lines, offer promising avenues for development of water biosensors. Historically, only a handful of systems utilising single-cell organisms have been deployed as established online water biomonitoring tools. Recent advances in recombinant microorganisms, cell immobilisation techniques, live-cell microarrays and microfluidic Lab-on-a-Chip technologies open new avenues to develop miniaturised systems capable of detecting a broad range of water contaminants. In experimental settings, they have been shown as sensitive and rapid biosensors with capabilities to detect traces of contaminants. In this work, we critically review the recent advances and practical prospects of biological early warning systems based on live-cell biosensors. We demonstrate historical deployment successes, technological innovations, as well as current challenges for the broader deployment of live-cell biosensors in the monitoring of water quality.
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Affiliation(s)
- Donald Wlodkowic
- The Neurotox Laboratory, School of Science, RMIT University, Plenty Road, P.O. Box 71, Bundoora, VIC 3083, Australia
- Correspondence: ; Tel.: +61-3-9925-7157; Fax: +61-3-9925-7110
| | - Tomasz M. Karpiński
- Chair and Department of Medical Microbiology, Poznań University of Medical Sciences, Wieniawskiego 3, 61-712 Poznań, Poland;
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14
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Bownik A, Wlodkowic D. Advances in real-time monitoring of water quality using automated analysis of animal behaviour. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 789:147796. [PMID: 34049143 DOI: 10.1016/j.scitotenv.2021.147796] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 05/11/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
Monitoring of freshwater quality and its potential sudden contamination is integral to human health, sustainable economic development and prediction of pollutant impact on aquatic ecosystems. Although there have been significant advances in technologies for automated sampling and continuous analysis of water physicochemical parameters, the current capabilities for real-time warning against rapidly developing unknown mixtures of chemical hazards are still limited. Conventional chemical analysis systems are not suitable for assessing unknown mixtures of chemicals as well as additive and/or synergetic effects on biological systems. From the perspective of neurotoxicology the acute exposures to chemical agents that affect nervous system and can enter the freshwater supplies accidentally or as a result of deliberate action, can only be reliably assessed using appropriate functional biological models. In this regard real-time biological early warning systems (BEWS), that can continuously monitor behavioural and/or physiological parameters of suitable aquatic bioindicator species, have been historically proposed to fill the gap and supplement conventional water quality test strategies. Alterations in sub-lethal neuro-behavioural traits have been proven as very sensitive and physiologically relevant endpoints that can provide highly integrative water quality sensing capabilities. Although BEWS are commonly regarded as non-specific and lacking both quantitative and qualitative detection capabilities, their advantages, if properly designed and implemented, lie in continuous sensing and early-warning information about sudden alteration in water quality parameters. In this work we review the future prospects of real-time biological early warning systems as well as recent developments that are anchored in historical successes and practical deployment examples. We concentrate on technologies utilizing analysis of behavioural and physiological endpoints of animal bioindicators and highlight the existing challenges, barriers to future development and demonstrate how recent advances in inexpensive electronics and multidisciplinary bioengineering can help revitalize the BEWS field.
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Affiliation(s)
- Adam Bownik
- Department of Hydrobiology and Protection of Ecosystems, Faculty of Environmental Biology, University of Life Sciences, Lublin, Poland
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15
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How does the Internet of Things (IoT) help in microalgae biorefinery? Biotechnol Adv 2021; 54:107819. [PMID: 34454007 DOI: 10.1016/j.biotechadv.2021.107819] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 07/27/2021] [Accepted: 08/22/2021] [Indexed: 12/14/2022]
Abstract
Microalgae biorefinery is a platform for the conversion of microalgal biomass into a variety of value-added products, such as biofuels, bio-based chemicals, biomaterials, and bioactive substances. Commercialization and industrialization of microalgae biorefinery heavily rely on the capability and efficiency of large-scale cultivation of microalgae. Thus, there is an urgent need for novel technologies that can be used to monitor, automatically control, and precisely predict microalgae production. In light of this, innovative applications of the Internet of things (IoT) technologies in microalgae biorefinery have attracted tremendous research efforts. IoT has potential applications in a microalgae biorefinery for the automatic control of microalgae cultivation, monitoring and manipulation of microalgal cultivation parameters, optimization of microalgae productivity, identification of toxic algae species, screening of target microalgae species, classification of microalgae species, and viability detection of microalgal cells. In this critical review, cutting-edge IoT technologies that could be adopted to microalgae biorefinery in the upstream and downstream processing are described comprehensively. The current advances of the integration of IoT with microalgae biorefinery are presented. What this review discussed includes automation, sensors, lab-on-chip, and machine learning, which are the main constituent elements and advanced technologies of IoT. Specifically, future research directions are discussed with special emphasis on the development of sensors, the application of microfluidic technology, robotized microalgae, high-throughput platforms, deep learning, and other innovative techniques. This review could contribute greatly to the novelty and relevance in the field of IoT-based microalgae biorefinery to develop smarter, safer, cleaner, greener, and economically efficient techniques for exhaustive energy recovery during the biorefinery process.
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16
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Tanvir RU, Zhang J, Canter T, Chen D, Lu J, Hu Z. Harnessing Solar Energy using Phototrophic Microorganisms: A Sustainable Pathway to Bioenergy, Biomaterials, and Environmental Solutions. RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2021; 146:1-111181. [PMID: 34526853 PMCID: PMC8437043 DOI: 10.1016/j.rser.2021.111181] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Phototrophic microorganisms (microbial phototrophs) use light as an energy source to carry out various metabolic processes producing biomaterials and bioenergy and supporting their own growth. Among them, microalgae and cyanobacteria have been utilized extensively for bioenergy, biomaterials, and environmental applications. Their superior photosynthetic efficiency, lipid content, and shorter cultivation time compared to terrestrial biomass make them more suitable for efficient production of bioenergy and biomaterials. Other phototrophic microorganisms, especially anoxygenic phototrophs, demonstrated the ability to survive and flourish while producing renewable energy and high-value products under harsh environmental conditions. This review presents a comprehensive overview of microbial phototrophs on their (i) production of bioenergy and biomaterials, (ii) emerging and innovative applications for environmental conservation, mitigation, and remediation, and (iii) physical, genetic, and metabolic pathways to improve light harvesting and biomass/biofuel/biomaterial production. Both physical (e.g., incremental irradiation) and genetic approaches (e.g., truncated antenna) are implemented to increase the light-harvesting efficiency. Increases in biomass yield and metabolic products are possible through the manipulation of metabolic pathways and selection of a proper strain under optimal cultivation conditions and downstream processing, including harvesting, extraction, and purification. Finally, the current barriers in harnessing solar energy using phototrophic microorganisms are presented, and future research perspectives are discussed, such as integrating phototrophic microorganisms with emerging technologies.
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Affiliation(s)
- Rahamat Ullah Tanvir
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, Missouri, 65211, USA
| | - Jianying Zhang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Timothy Canter
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, Missouri, 65211, USA
| | - Dick Chen
- Dual Enrollment Program, University of Missouri, Columbia, Missouri, 65211, USA
| | - Jingrang Lu
- Office of Research and Development, United States Environmental Protection Agency (EPA), Cincinnati, Ohio, 45268, USA
| | - Zhiqiang Hu
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, Missouri, 65211, USA
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17
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Chen X, Huang P, Wang N, Zhu Y, Zhang J. Dual Tunable MZIs Stationary-Wave Integrated Fourier Transform Spectrum Detection. SENSORS 2021; 21:s21072352. [PMID: 33800576 PMCID: PMC8036941 DOI: 10.3390/s21072352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/19/2021] [Accepted: 03/25/2021] [Indexed: 12/20/2022]
Abstract
In order to resolve spectral alias due to under sampling in traditional stationary-wave integrated Fourier transform (SWIFT) spectrometers, an all-on-chip waveguide based on dual tunable Mach-Zehnder interferometer (MZI) stationary-wave integrated Fourier transform technology (DTM-SWIFT) is proposed. Several gold nanowires are asymmetrically positioned at two sides of zero optical path difference and scatter the interference fringes information, which can avoid aliasing of spectral signals and help to gain high spectral resolution. A systematic theoretical analysis is carried on in detail, including the optical distribution characteristics based on multi-beam interference, stationary-wave theorem and signal reconstruction method based on the FT technology. The results show that the method can complete a resolution of 6 nm for Gauss spectrum reconstruction using only 6 gold nanowires, and a resolution of 5 cm-1 for Raman spectrum reconstruction using 25 gold nanowires.
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Affiliation(s)
| | | | | | | | - Jie Zhang
- Correspondence: ; Tel.: +86-135-9413-5451
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18
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Leonardi AA, Lo Faro MJ, Irrera A. Biosensing platforms based on silicon nanostructures: A critical review. Anal Chim Acta 2021; 1160:338393. [PMID: 33894957 DOI: 10.1016/j.aca.2021.338393] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 03/09/2021] [Accepted: 03/10/2021] [Indexed: 12/21/2022]
Abstract
Biosensors are revolutionizing the health-care systems worldwide, permitting to survey several diseases, even at their early stage, by using different biomolecules such as proteins, DNA, and other biomarkers. However, these sensing approaches are still scarcely diffused outside the specialized medical and research facilities. Silicon is the undiscussed leader of the whole microelectronics industry, and novel sensors based on this material may completely change the health-care scenario. In this review, we will show how novel sensing platforms based on Si nanostructures may have a disruptive impact on applications with a real commercial transfer. A critical study for the main Si-based biosensors is herein presented with a comparison of their advantages and drawbacks. The most appealing sensing devices are discussed, starting from electronic transducers, with Si nanowires field-effect transistor (FET) and porous Si, to their optical alternatives, such as effective optical thickness porous silicon, photonic crystals, luminescent Si quantum dots, and finally luminescent Si NWs. All these sensors are investigated in terms of working principle, sensitivity, and selectivity with a specific focus on the possibility of their industrial transfer, and which ones may be preferred for a medical device.
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Affiliation(s)
- Antonio Alessio Leonardi
- Dipartimento di Fisica e Astronomia "Ettore Majorana", Università di Catania, Via Santa Sofia 64, 95123, Catania, Italy; CNR-IMM UoS Catania, Istituto per La Microelettronica e Microsistemi, Via Santa Sofia 64, Italy; CNR-IPCF, Istituto per I Processi Chimico-Fisici, Viale F. Stagno D'Alcontres 37, 98158, Messina, Italy
| | - Maria José Lo Faro
- Dipartimento di Fisica e Astronomia "Ettore Majorana", Università di Catania, Via Santa Sofia 64, 95123, Catania, Italy; CNR-IMM UoS Catania, Istituto per La Microelettronica e Microsistemi, Via Santa Sofia 64, Italy
| | - Alessia Irrera
- CNR-IPCF, Istituto per I Processi Chimico-Fisici, Viale F. Stagno D'Alcontres 37, 98158, Messina, Italy.
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19
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Gall JL, Vasilijević S, Battaglini N, Mattana G, Noël V, Brayner R, Piro B. Algae-functionalized hydrogel-gated organic field-effect transistor. Application to the detection of herbicides. Electrochim Acta 2021. [DOI: 10.1016/j.electacta.2021.137881] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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20
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Roxby DN, Rivy H, Gong C, Gong X, Yuan Z, Chang GE, Chen YC. Microalgae living sensor for metal ion detection with nanocavity-enhanced photoelectrochemistry. Biosens Bioelectron 2020; 165:112420. [DOI: 10.1016/j.bios.2020.112420] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 06/13/2020] [Accepted: 06/30/2020] [Indexed: 01/07/2023]
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21
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Le Gall J, Mouillard F, Le TN, Vu TT, Mattana G, Brayner R, Zrig S, Noël V, Piro B. Monitoring photosynthetic microorganism activity with an electrolyte-gated organic field effect transistor. Biosens Bioelectron 2020; 157:112166. [PMID: 32250936 DOI: 10.1016/j.bios.2020.112166] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 03/10/2020] [Accepted: 03/20/2020] [Indexed: 01/16/2023]
Abstract
Among organic thin film transistors (OTFTs), Organic Electrochemical Transistors (OECTs) have been extensively used for cell monitoring while Electrolyte-Gated Organic Field-Effect Transistors (EGOFETs) have never been described for that kind of application. However, EGOFETs are well adapted for this use because, as well as OECTs, they can operate directly in aqueous solutions such as cells culture media, but they offer much a higher on/off ratio which could lead to better sensitivity. As a proof of concept, we propose herein to monitor the photosynthetic activity of a cyanobacterium (Anabaena flos-aquae) contained within an EGOFET's electrolyte.
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Affiliation(s)
- Jérémy Le Gall
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France
| | - Flavien Mouillard
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France
| | - Trung Ngoc Le
- Department of Advanced Materials Science and Nanotechnology (AMSN), University of Science and Technology of Hanoi (USTH), Vietnam Academy of Science and Technology (VAST), 18 Hoang Quoc Viet, Nghĩa Đô, Cầu Giấy, Hanoi, Viet Nam
| | - Thi Thu Vu
- Department of Advanced Materials Science and Nanotechnology (AMSN), University of Science and Technology of Hanoi (USTH), Vietnam Academy of Science and Technology (VAST), 18 Hoang Quoc Viet, Nghĩa Đô, Cầu Giấy, Hanoi, Viet Nam
| | - Giorgio Mattana
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France
| | - Roberta Brayner
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France
| | - Samia Zrig
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France
| | - Vincent Noël
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France.
| | - B Piro
- Université de Paris, ITODYS, CNRS, UMR 7086, 15 Rue J-A de Baïf, F-75013, Paris, France.
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22
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Development of Microalgae Biosensor Chip by Incorporating Microarray Oxygen Sensor for Pesticides Sensing. BIOSENSORS-BASEL 2019; 9:bios9040133. [PMID: 31726653 PMCID: PMC6956216 DOI: 10.3390/bios9040133] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/08/2019] [Accepted: 11/08/2019] [Indexed: 01/24/2023]
Abstract
A microalgae (Pseudokirchneriella subcapitata) biosensor chip for pesticide sensing has been developed by attaching the immobilized microalgae biofilm pon the microarray dye spots (size 100 μm and pitch 200 μm). The dye spots (ruthenium complex) were printed upon SO3-modified glass slides using a polydimethylsiloxane (PDMS) stamp and a microcontact printer (μCP). Emitted fluorescence intensity (FI) variance due to photosynthetic activity (O2 production) of microalgae was monitored by an inverted fluorescent microscope and inhibition of the oxygen generation rate was calculated based on the FI responses both before and after injection of pesticide sample. The calibration curves, as the inhibition of oxygen generation rate (%) due to photosynthetic activity inhibition by the pesticides, depicted that among the 6 tested pesticides, the biosensor showed good sensitivity for 4 pesticides (diuron, simetryn, simazine, and atrazine) but was insensitive for mefenacet and pendimethalin. The detection limits were 1 ppb for diuron and 10 ppb for simetryn, simazine, and atrazine. The simple and low-cost nature of sensing of the developed biosensor sensor chip has apparently created opportunities for regular water quality monitoring, where pesticides are an important concern.
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23
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Lab-On-A-Chip Device for Yeast Cell Characterization in Low-Conductivity Media Combining Cytometry and Bio-Impedance. SENSORS 2019; 19:s19153366. [PMID: 31370234 PMCID: PMC6695822 DOI: 10.3390/s19153366] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 07/24/2019] [Accepted: 07/29/2019] [Indexed: 01/08/2023]
Abstract
This paper proposes a simple approach to optimize the operating frequency band of a lab-on-a-chip based on bio-impedance cytometry for a single cell. It mainly concerns applications in low-conductivity media. Bio-impedance allows for the characterization of low cell concentration or single cells by providing an electrical signature. Thus, it may be necessary to perform impedance measurements up to several tens of megahertz in order to extract the internal cell signature. In the case of single cells, characterization is performed in a very small volume down to 1 pL. At the same time, measured impedances increase from tens of kilo-ohms for physiological liquids up to several mega-ohms for low conductivity media. This is, for example, the case for water analysis. At frequencies above hundreds of kilohertz, parasitic effects, such as coupling capacitances, can prevail over the impedance of the sample and completely short-circuit measurements. To optimize the sensor under these conditions, a complete model of a cytometry device was developed, including parasitic coupling capacitances of the sensor to take into account all the impedances. It appears that it is possible to increase the pass band by optimizing track geometries and placement without changing the sensing area. This assumption was obtained by measuring and comparing electrical properties of yeast cells in a low-conductivity medium (tap water). Decreased coupling capacitance by a factor higher than 10 was obtained compared with a previous non-optimized sensor, which allowed for the impedance measurement of all electrical properties of cells as small as yeast cells in a low-conductivity medium.
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24
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Gupta N, Renugopalakrishnan V, Liepmann D, Paulmurugan R, Malhotra BD. Cell-based biosensors: Recent trends, challenges and future perspectives. Biosens Bioelectron 2019; 141:111435. [PMID: 31238280 DOI: 10.1016/j.bios.2019.111435] [Citation(s) in RCA: 133] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 05/31/2019] [Accepted: 06/11/2019] [Indexed: 12/13/2022]
Abstract
Existing at the interface of biology and electronics, living cells have been in use as biorecognition elements (bioreceptors) in biosensors since the early 1970s. They are an interesting choice of bioreceptors as they allow flexibility in determining the sensing strategy, are cheaper than purified enzymes and antibodies and make the fabrication relatively simple and cost-effective. And with advances in the field of synthetic biology, microfluidics and lithography, many exciting developments have been made in the design of cell-based biosensors in the last about five years. 3D cell culture systems integrated with electrodes are now providing new insights into disease pathogenesis and physiology, while cardiomyocyte-integrated microelectrode array (MEA) technology is set to be standardized for the assessment of drug-induced cardiac toxicity. From cell microarrays for high-throughput applications to plasmonic devices for anti-microbial susceptibility testing and advent of microbial fuel cell biosensors, cell-based biosensors have evolved from being mere tools for detection of specific analytes to multi-parametric devices for real time monitoring and assessment. However, despite these advancements, challenges such as regeneration and storage life, heterogeneity in cell populations, high interference and high costs due to accessory instrumentation need to be addressed before the full potential of cell-based biosensors can be realized at a larger scale. This review summarizes results of the studies that have been conducted in the last five years toward the fabrication of cell-based biosensors for different applications with a comprehensive discussion on the challenges, future trends, and potential inputs needed for improving them.
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Affiliation(s)
- Niharika Gupta
- Department of Biotechnology, Delhi Technological University, Main Bawana Road, Delhi 110042, India
| | | | - Dorian Liepmann
- Department of Bioengineering, University of California, Berkeley, CA, USA
| | - Ramasamy Paulmurugan
- Department of Radiology, Cellular Pathway Imaging Laboratory, Stanford University School of Medicine, 3155 Porter Drive, Suite 2236, Palo Alto, CA, 94304, USA
| | - Bansi D Malhotra
- Department of Biotechnology, Delhi Technological University, Main Bawana Road, Delhi 110042, India.
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25
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Towards integrated multi-sensor platform using dual electrochemical and optical detection for on-site pollutant detection in water. Biosens Bioelectron 2019; 132:90-96. [DOI: 10.1016/j.bios.2019.01.065] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 12/21/2018] [Accepted: 01/29/2019] [Indexed: 01/30/2023]
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26
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Wang N, Kanhere E, Tao K, Hu L, Wu J, Miao J, Triantafyllou MS. Investigation of a Thin‐Film Quasi‐Reference Electrode Fabricated by Combined Sputtering‐Evaporation Approach. ELECTROANAL 2018. [DOI: 10.1002/elan.201800532] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Nan Wang
- Center for Environmental Sensing and Modeling (CENSAM) IRGSingapore-MIT Alliance for Research and Technology (SMART) Centre 1 CREATE Way 138602 Singapore
| | - Elgar Kanhere
- Center for Environmental Sensing and Modeling (CENSAM) IRGSingapore-MIT Alliance for Research and Technology (SMART) Centre 1 CREATE Way 138602 Singapore
| | - Kai Tao
- Department of Microsystem EngineeringNorthwestern Polytechnical University 127 West Youyi Road, Beilin District Xi'an Shaanxi 710072 China
| | - Liangxing Hu
- School of Mechanical and Aerospace EngineeringNanyang Technological University 50 Nanyang Avenue 639798 Singapore
| | - Jin Wu
- School of Electronics and Information TechnologySun Yat-sen University No. 135, Xingang Xi Road Guangzhou 510275 China
| | - Jianmin Miao
- School of Mechanical and Aerospace EngineeringNanyang Technological University 50 Nanyang Avenue 639798 Singapore
| | - Michael S. Triantafyllou
- Center for Environmental Sensing and Modeling (CENSAM) IRGSingapore-MIT Alliance for Research and Technology (SMART) Centre 1 CREATE Way 138602 Singapore
- Department of Mechanical EngineeringMassachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139 USA
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27
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Xurography-based microfluidic algal biosensor and dedicated portable measurement station for online monitoring of urban polluted samples. Biosens Bioelectron 2018; 117:669-677. [DOI: 10.1016/j.bios.2018.07.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 06/28/2018] [Accepted: 07/04/2018] [Indexed: 01/09/2023]
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28
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Biosensors for wastewater monitoring: A review. Biosens Bioelectron 2018; 118:66-79. [PMID: 30056302 DOI: 10.1016/j.bios.2018.07.019] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 07/07/2018] [Accepted: 07/09/2018] [Indexed: 02/06/2023]
Abstract
Water pollution and habitat degradation are the cause of increasing water scarcity and decline in aquatic biodiversity. While the freshwater availability has been declining through past decades, water demand has continued to increase particularly in areas with arid and semi-arid climate. Monitoring of pollutants in wastewater effluents are critical to identifying water pollution area for treatment. Conventional detection methods are not effective in tracing multiple harmful components in wastewater due to their variability along different times and sources. Currently, the development of biosensing instruments attracted significant attention because of their high sensitivity, selectivity, reliability, simplicity, low-cost and real-time response. This paper provides a general overview on reported biosensors, which have been applied for the recognition of important organic chemicals, heavy metals, and microorganisms in dark waters. The significance and successes of nanotechnology in the field of biomolecular detection are also reviewed. The commercially available biosensors and their main challenges in wastewater monitoring are finally discussed.
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29
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Moro L, Pezzotti G, Turemis M, Sanchís J, Farré M, Denaro R, Giacobbe MG, Crisafi F, Giardi MT. Fast pesticide pre-screening in marine environment using a green microalgae-based optical bioassay. MARINE POLLUTION BULLETIN 2018; 129:212-221. [PMID: 29680540 DOI: 10.1016/j.marpolbul.2018.02.036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 02/15/2018] [Accepted: 02/20/2018] [Indexed: 06/08/2023]
Abstract
The present study evaluates an optical bioassay based on green photosynthetic microalgae as a promising alternative for monitoring of relevant seawater pollutants. Photosystem II fluorescence parameters from several microalgae species were examined in the presence of three common marine pesticides that act as photosynthesis inhibitors. The three pollutants were detected within 10 min in concentrations between ng/L-μg/L. The different algae species showed slightly diverse pesticide sensitivities, being Chlorella mirabilis the most sensitive one. Potential interferences due to oil-spill pollutants were discarded. The lipid content was characterized to identify microorganisms with suitable mechanisms that could facilitate stress acclimatization. C. mirabilis presented elevated content of unsaturated lipids, showing a promising potential for biosensing in saline stress conditions. The optimized microalgae-based bioassay was preliminarily incorporated into a marine buoy for autonomous pre-screening of pesticides in coastal areas, demonstrating its suitability for real-time monitoring of marine water and quantitative evaluation of total biotoxicity.
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Affiliation(s)
- Laura Moro
- Biosensor Srl, Via degli Olmetti 44, 00060 Formello, Rome, Italy.
| | - Gianni Pezzotti
- Biosensor Srl, Via degli Olmetti 44, 00060 Formello, Rome, Italy.
| | - Mehmet Turemis
- Biosensor Srl, Via degli Olmetti 44, 00060 Formello, Rome, Italy.
| | - Josep Sanchís
- Water and Soil Quality Research Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/ Jordi Girona 18-26, 08034 Barcelona, Catalonia, Spain.
| | - Marinella Farré
- Water and Soil Quality Research Group, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), c/ Jordi Girona 18-26, 08034 Barcelona, Catalonia, Spain.
| | - Renata Denaro
- Institute for Coastal Marine Environment (IAMC-CNR), Spianata S. Raineri 86, 98122 Messina, Italy.
| | - Maria Grazia Giacobbe
- Institute for Coastal Marine Environment (IAMC-CNR), Spianata S. Raineri 86, 98122 Messina, Italy.
| | - Francesca Crisafi
- Institute for Coastal Marine Environment (IAMC-CNR), Spianata S. Raineri 86, 98122 Messina, Italy.
| | - Maria Teresa Giardi
- Biosensor Srl, Via degli Olmetti 44, 00060 Formello, Rome, Italy; Crystallography Institute, CNR Area della Ricerca di Roma, Via Salaria km 29,300, 00015 Monterotondo, Rome, Italy.
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Wang L. Microwave Sensors for Breast Cancer Detection. SENSORS (BASEL, SWITZERLAND) 2018; 18:E655. [PMID: 29473867 PMCID: PMC5854976 DOI: 10.3390/s18020655] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 02/18/2018] [Accepted: 02/20/2018] [Indexed: 12/31/2022]
Abstract
Breast cancer is the leading cause of death among females, early diagnostic methods with suitable treatments improve the 5-year survival rates significantly. Microwave breast imaging has been reported as the most potential to become the alternative or additional tool to the current gold standard X-ray mammography for detecting breast cancer. The microwave breast image quality is affected by the microwave sensor, sensor array, the number of sensors in the array and the size of the sensor. In fact, microwave sensor array and sensor play an important role in the microwave breast imaging system. Numerous microwave biosensors have been developed for biomedical applications, with particular focus on breast tumor detection. Compared to the conventional medical imaging and biosensor techniques, these microwave sensors not only enable better cancer detection and improve the image resolution, but also provide attractive features such as label-free detection. This paper aims to provide an overview of recent important achievements in microwave sensors for biomedical imaging applications, with particular focus on breast cancer detection. The electric properties of biological tissues at microwave spectrum, microwave imaging approaches, microwave biosensors, current challenges and future works are also discussed in the manuscript.
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Affiliation(s)
- Lulu Wang
- Department of Biomedical Engineering, School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.
- Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1142, New Zealand.
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Cao L, Zhang Q, Dai H, Fu Y, Li Y. Separation/Concentration-signal-amplification in-One Method Based on Electrochemical Conversion of Magnetic Nanoparticles for Electrochemical Biosensing. ELECTROANAL 2018. [DOI: 10.1002/elan.201700653] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Lulu Cao
- College of Biosystems Engineering and Food Science; Zhejiang University; Hangzhou 310058 China
| | - Qi Zhang
- College of Biosystems Engineering and Food Science; Zhejiang University; Hangzhou 310058 China
| | - Huang Dai
- College of Biosystems Engineering and Food Science; Zhejiang University; Hangzhou 310058 China
| | - Yingchun Fu
- College of Biosystems Engineering and Food Science; Zhejiang University; Hangzhou 310058 China
| | - Yanbin Li
- College of Biosystems Engineering and Food Science; Zhejiang University; Hangzhou 310058 China
- Department of Biological and Agricultural Engineering; University of Arkansas; Fayetteville, AR 72701 USA
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Arduini F, Cinti S, Scognamiglio V, Moscone D, Palleschi G. How cutting-edge technologies impact the design of electrochemical (bio)sensors for environmental analysis. A review. Anal Chim Acta 2017; 959:15-42. [PMID: 28159104 DOI: 10.1016/j.aca.2016.12.035] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Revised: 12/19/2016] [Accepted: 12/22/2016] [Indexed: 11/25/2022]
Abstract
Through the years, scientists have developed cutting-edge technologies to make (bio)sensors more convenient for environmental analytical purposes. Technological advancements in the fields of material science, rational design, microfluidics, and sensor printing, have radically shaped biosensor technology, which is even more evident in the continuous development of sensing systems for the monitoring of hazardous chemicals. These efforts will be crucial in solving some of the problems constraining biosensors to reach real environmental applications, such as continuous analyses in field by means of multi-analyte portable devices. This review (with 203 refs.) covers the progress between 2010 and 2015 in the field of technologies enabling biosensor applications in environmental analysis, including i) printing technology, ii) nanomaterial technology, iii) nanomotors, iv) biomimetic design, and (v) microfluidics. Next section describes futuristic cutting-edge technologies that are gaining momentum in recent years, which furnish highly innovative aspects to biosensing devices.
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Affiliation(s)
- Fabiana Arduini
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133 Rome, Italy; National Institute of Biostructures and Biosystems "INBB", Viale Medaglie d'Oro, 305, Rome, Italy.
| | - Stefano Cinti
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133 Rome, Italy
| | - Viviana Scognamiglio
- Institute of Crystallography (IC-CNR), Via Salaria Km 29.300, 00015, Monterotondo, Rome, Italy
| | - Danila Moscone
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133 Rome, Italy; National Institute of Biostructures and Biosystems "INBB", Viale Medaglie d'Oro, 305, Rome, Italy
| | - Giuseppe Palleschi
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133 Rome, Italy; National Institute of Biostructures and Biosystems "INBB", Viale Medaglie d'Oro, 305, Rome, Italy
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SensoTube: A Scalable Hardware Design Architecture for Wireless Sensors and Actuators Networks Nodes in the Agricultural Domain. SENSORS 2016; 16:s16081227. [PMID: 27527180 PMCID: PMC5017392 DOI: 10.3390/s16081227] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 07/28/2016] [Accepted: 07/29/2016] [Indexed: 11/17/2022]
Abstract
Wireless Sensor and Actuators Networks (WSANs) constitute one of the most challenging technologies with tremendous socio-economic impact for the next decade. Functionally and energy optimized hardware systems and development tools maybe is the most critical facet of this technology for the achievement of such prospects. Especially, in the area of agriculture, where the hostile operating environment comes to add to the general technological and technical issues, reliable and robust WSAN systems are mandatory. This paper focuses on the hardware design architectures of the WSANs for real-world agricultural applications. It presents the available alternatives in hardware design and identifies their difficulties and problems for real-life implementations. The paper introduces SensoTube, a new WSAN hardware architecture, which is proposed as a solution to the various existing design constraints of WSANs. The establishment of the proposed architecture is based, firstly on an abstraction approach in the functional requirements context, and secondly, on the standardization of the subsystems connectivity, in order to allow for an open, expandable, flexible, reconfigurable, energy optimized, reliable and robust hardware system. The SensoTube implementation reference model together with its encapsulation design and installation are analyzed and presented in details. Furthermore, as a proof of concept, certain use cases have been studied in order to demonstrate the benefits of migrating existing designs based on the available open-source hardware platforms to SensoTube architecture.
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Identification of pesticide varieties by testing microalgae using Visible/Near Infrared Hyperspectral Imaging technology. Sci Rep 2016; 6:24221. [PMID: 27071456 PMCID: PMC4829843 DOI: 10.1038/srep24221] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 03/22/2016] [Indexed: 01/10/2023] Open
Abstract
In our study, the feasibility of using visible/near infrared hyperspectral imaging technology to detect the changes of the internal components of Chlorella pyrenoidosa so as to determine the varieties of pesticides (such as butachlor, atrazine and glyphosate) at three concentrations (0.6 mg/L, 3 mg/L, 15 mg/L) was investigated. Three models (partial least squares discriminant analysis combined with full wavelengths, FW-PLSDA; partial least squares discriminant analysis combined with competitive adaptive reweighted sampling algorithm, CARS-PLSDA; linear discrimination analysis combined with regression coefficients, RC-LDA) were built by the hyperspectral data of Chlorella pyrenoidosa to find which model can produce the most optimal result. The RC-LDA model, which achieved an average correct classification rate of 97.0% was more superior than FW-PLSDA (72.2%) and CARS-PLSDA (84.0%), and it proved that visible/near infrared hyperspectral imaging could be a rapid and reliable technique to identify pesticide varieties. It also proved that microalgae can be a very promising medium to indicate characteristics of pesticides.
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