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Meliana C, Liu J, Show PL, Low SS. Biosensor in smart food traceability system for food safety and security. Bioengineered 2024; 15:2310908. [PMID: 38303521 PMCID: PMC10841032 DOI: 10.1080/21655979.2024.2310908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/23/2024] [Indexed: 02/03/2024] Open
Abstract
The burden of food contamination and food wastage has significantly contributed to the increased prevalence of foodborne disease and food insecurity all over the world. Due to this, there is an urgent need to develop a smarter food traceability system. Recent advancements in biosensors that are easy-to-use, rapid yet selective, sensitive, and cost-effective have shown great promise to meet the critical demand for onsite and immediate diagnosis and treatment of food safety and quality control (i.e. point-of-care technology). This review article focuses on the recent development of different biosensors for food safety and quality monitoring. In general, the application of biosensors in agriculture (i.e. pre-harvest stage) for early detection and routine control of plant infections or stress is discussed. Afterward, a more detailed advancement of biosensors in the past five years within the food supply chain (i.e. post-harvest stage) to detect different types of food contaminants and smart food packaging is highlighted. A section that discusses perspectives for the development of biosensors in the future is also mentioned.
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Affiliation(s)
- Catarina Meliana
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China
| | - Jingjing Liu
- College of Automation Engineering, Northeast Electric Power University, Jilin, Jilin Province, China
| | - Pau Loke Show
- Department of Chemical Engineering, Khalifa University, Abu Dhabi, Abu Dhabi Municipality, United Arab Emirates
- Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor Darul Ehsan, Malaysia
| | - Sze Shin Low
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China
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Shahzad U, Saeed M, Marwani HM, Al-Humaidi JY, Rehman SU, Althomali RH, Awual MR, Rahman MM. Recent Progress on Potentiometric Sensor Applications Based on Nanoscale Metal Oxides: A Comprehensive Review. Crit Rev Anal Chem 2024:1-18. [PMID: 38593048 DOI: 10.1080/10408347.2024.2337876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Electrochemical sensors have been the subject of much research and development as of late, with several publications detailing new designs boasting enhanced performance metrics. That is, without a doubt, because such sensors stand out from other analytical tools thanks to their excellent analytical characteristics, low cost, and ease of use. Their progress has shown a trend toward seeking out novel useful nano structure materials. A variety of nanostructure metal oxides have been utilized in the creation of potentiometric sensors, which are the subject of this article. For screen-printed pH sensors, metal oxides have been utilized as sensing layers due to their mixed ion-electron conductivity and as paste-ion-selective electrode components and in solid-contact electrodes. Further significant uses include solid-contact layers. All the metal oxide uses mentioned are within the purview of this article. Nanoscale metal oxides have several potential uses in the potentiometry method, and this paper summarizes such uses, including hybrid materials and single-component layers. Potentiometric sensors with outstanding analytical properties can be manufactured entirely from metal oxides. These novel sensors outperform the more traditional, conventional electrodes in terms of useful characteristics. In this review, we looked at the potentiometric analytical properties of different building solutions with various nanoscale metal oxides.
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Affiliation(s)
- Umer Shahzad
- Department of Chemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Mohsin Saeed
- Department of Chemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Hadi M Marwani
- Department of Chemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Excellence for Advanced Materials Research (CEAMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Jehan Y Al-Humaidi
- Department of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Shujah Ur Rehman
- Institute of Energy & Environmental Engineering, University of the Punjab, Lahore, Pakistan
| | - Raed H Althomali
- Department of Chemistry, College of Art and Science, Prince Sattam bin Abdulaziz University, Wadi Al-Dawasir, Saudi Arabia
| | - Md Rabiul Awual
- Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Perth, WA, Australia
| | - Mohammed M Rahman
- Department of Chemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Excellence for Advanced Materials Research (CEAMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Banerjee D, Adhikary S, Bhattacharya S, Chakraborty A, Dutta S, Chatterjee S, Ganguly A, Nanda S, Rajak P. Breaking boundaries: Artificial intelligence for pesticide detection and eco-friendly degradation. ENVIRONMENTAL RESEARCH 2024; 241:117601. [PMID: 37977271 DOI: 10.1016/j.envres.2023.117601] [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: 06/30/2023] [Revised: 09/21/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023]
Abstract
Pesticides are extensively used agrochemicals across the world to control pest populations. However, irrational application of pesticides leads to contamination of various components of the environment, like air, soil, water, and vegetation, all of which build up significant levels of pesticide residues. Further, these environmental contaminants fuel objectionable human toxicity and impose a greater risk to the ecosystem. Therefore, search of methodologies having potential to detect and degrade pesticides in different environmental media is currently receiving profound global attention. Beyond the conventional approaches, Artificial Intelligence (AI) coupled with machine learning and artificial neural networks are rapidly growing branches of science that enable quick data analysis and precise detection of pesticides in various environmental components. Interestingly, nanoparticle (NP)-mediated detection and degradation of pesticides could be linked to AI algorithms to achieve superior performance. NP-based sensors stand out for their operational simplicity as well as their high sensitivity and low detection limits when compared to conventional, time-consuming spectrophotometric assays. NPs coated with fluorophores or conjugated with antibody or enzyme-anchored sensors can be used through Surface-Enhanced Raman Spectrometry, fluorescence, or chemiluminescence methodologies for selective and more precise detection of pesticides. Moreover, NPs assist in the photocatalytic breakdown of various organic and inorganic pesticides. Here, AI models are ideal means to identify, classify, characterize, and even predict the data of pesticides obtained through NP sensors. The present study aims to discuss the environmental contamination and negative impacts of pesticides on the ecosystem. The article also elaborates the AI and NP-assisted approaches for detecting and degrading a wide range of pesticide residues in various environmental and agrecultural sources including fruits and vegetables. Finally, the prevailing limitations and future goals of AI-NP-assisted techniques have also been dissected.
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Affiliation(s)
- Diyasha Banerjee
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
| | - Satadal Adhikary
- Post Graduate Department of Zoology, A. B. N. Seal College, Cooch Behar, West Bengal, India.
| | | | - Aritra Chakraborty
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
| | - Sohini Dutta
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
| | - Sovona Chatterjee
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
| | - Abhratanu Ganguly
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
| | - Sayantani Nanda
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
| | - Prem Rajak
- Department of Animal Science, Kazi Nazrul University, Asansol, West Bengal, India.
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Malik S, Singh J, Goyat R, Saharan Y, Chaudhry V, Umar A, Ibrahim AA, Akbar S, Ameen S, Baskoutas S. Nanomaterials-based biosensor and their applications: A review. Heliyon 2023; 9:e19929. [PMID: 37809900 PMCID: PMC10559358 DOI: 10.1016/j.heliyon.2023.e19929] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023] Open
Abstract
A sensor can be called ideal or perfect if it is enriched with certain characteristics viz., superior detections range, high sensitivity, selectivity, resolution, reproducibility, repeatability, and response time with good flow. Recently, biosensors made of nanoparticles (NPs) have gained very high popularity due to their excellent applications in nearly all the fields of science and technology. The use of NPs in the biosensor is usually done to fill the gap between the converter and the bioreceptor, which is at the nanoscale. Simultaneously the uses of NPs and electrochemical techniques have led to the emergence of biosensors with high sensitivity and decomposition power. This review summarizes the development of biosensors made of NPssuch as noble metal NPs and metal oxide NPs, nanowires (NWs), nanorods (NRs), carbon nanotubes (CNTs), quantum dots (QDs), and dendrimers and their recent advancement in biosensing technology with the expansion of nanotechnology.
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Affiliation(s)
- Sumit Malik
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India
| | - Joginder Singh
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India
| | - Rohit Goyat
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India
| | - Yajvinder Saharan
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India
| | - Vivek Chaudhry
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India
| | - Ahmad Umar
- Department of Chemistry, Faculty of Science and Arts, and Promising Centre for Sensors and Electronic Devices (PCSED)Najran University, Najran, 11001, Kingdom of Saudi Arabia
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA
| | - Ahmed A. Ibrahim
- Department of Chemistry, Faculty of Science and Arts, and Promising Centre for Sensors and Electronic Devices (PCSED)Najran University, Najran, 11001, Kingdom of Saudi Arabia
| | - Sheikh Akbar
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA
| | - Sadia Ameen
- Advanced Materials and Devices Laboratory, Department of Bio-Convergence Science, Advanced Science Campus, Jeonbuk National University, 56212, Jeonju, Republic of Korea
| | - Sotirios Baskoutas
- Department of Materials Science, University of Patras, 26500, Patras, Greece
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Tolubayeva DB, Gritsenko LV, Kedruk YY, Aitzhanov MB, Nemkayeva RR, Abdullin KA. Effect of Hydrogen Plasma Treatment on the Sensitivity of ZnO Based Electrochemical Non-Enzymatic Biosensor. BIOSENSORS 2023; 13:793. [PMID: 37622880 PMCID: PMC10452905 DOI: 10.3390/bios13080793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/26/2023]
Abstract
Information on vitamin C-ascorbic acid (AA)-content is important as it facilitates the provision of dietary advice and strategies for the prevention and treatment of conditions associated with AA deficiency or excess. The methods of determining AA content include chromatographic techniques, spectrophotometry, and electrochemical methods of analysis. In the present work, an electrochemical enzyme-free ascorbic acid sensor for a neutral medium has been developed. The sensor is based on zinc oxide nanowire (ZnO NW) arrays synthesized via low-temperature chemical deposition (Chemical Bath Deposition) on the surface of an ITO substrate. The sensitivity of the electrochemical enzyme-free sensor was found to be dependent on the process treatments. The AA sensitivity values measured in a neutral PBS electrolyte were found to be 73, 44, and 92 µA mM-1 cm-2 for the ZnO NW-based sensors of the pristine, air-annealed (AT), and air-annealed followed by hydrogen plasma treatment (AT+PT), respectively. The simple H-plasma treatment of ZnO nanowire arrays synthesized via low-temperature chemical deposition has been shown to be an effective process step to produce an enzyme-free sensor for biological molecules in a neutral electrolyte for applications in health care and biomedical safety.
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Affiliation(s)
- Diana B. Tolubayeva
- Faculty of Metallurgy and Mechanical Engineering, Karaganda Industrial University, Republic Ave. 30, Temirtau 101400, Kazakhstan;
| | - Lesya V. Gritsenko
- Institute of Energy and Mechanical Engineering, Satbayev University, Satpayev Str., 22, Almaty 050013, Kazakhstan;
- National Nanotechnology Laboratory of Open Type (NNLOT), Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty 050040, Kazakhstan; (M.B.A.); (R.R.N.)
| | - Yevgeniya Y. Kedruk
- Institute of Energy and Mechanical Engineering, Satbayev University, Satpayev Str., 22, Almaty 050013, Kazakhstan;
- National Nanotechnology Laboratory of Open Type (NNLOT), Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty 050040, Kazakhstan; (M.B.A.); (R.R.N.)
| | - Madi B. Aitzhanov
- National Nanotechnology Laboratory of Open Type (NNLOT), Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty 050040, Kazakhstan; (M.B.A.); (R.R.N.)
| | - Renata R. Nemkayeva
- National Nanotechnology Laboratory of Open Type (NNLOT), Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty 050040, Kazakhstan; (M.B.A.); (R.R.N.)
| | - Khabibulla A. Abdullin
- National Nanotechnology Laboratory of Open Type (NNLOT), Al-Farabi Kazakh National University, Al-Farabi Ave., 71, Almaty 050040, Kazakhstan; (M.B.A.); (R.R.N.)
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Dutta T, Noushin T, Tabassum S, Mishra SK. Road Map of Semiconductor Metal-Oxide-Based Sensors: A Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:6849. [PMID: 37571634 PMCID: PMC10422562 DOI: 10.3390/s23156849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/22/2023] [Accepted: 07/19/2023] [Indexed: 08/13/2023]
Abstract
Identifying disease biomarkers and detecting hazardous, explosive, flammable, and polluting gases and chemicals with extremely sensitive and selective sensor devices remains a challenging and time-consuming research challenge. Due to their exceptional characteristics, semiconducting metal oxides (SMOxs) have received a lot of attention in terms of the development of various types of sensors in recent years. The key performance indicators of SMOx-based sensors are their sensitivity, selectivity, recovery time, and steady response over time. SMOx-based sensors are discussed in this review based on their different properties. Surface properties of the functional material, such as its (nano)structure, morphology, and crystallinity, greatly influence sensor performance. A few examples of the complicated and poorly understood processes involved in SMOx sensing systems are adsorption and chemisorption, charge transfers, and oxygen migration. The future prospects of SMOx-based gas sensors, chemical sensors, and biological sensors are also discussed.
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Affiliation(s)
- Taposhree Dutta
- Department of Chemistry, IIEST Shibpur, Howrah 711103, West Bengal, India;
| | - Tanzila Noushin
- Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA;
| | - Shawana Tabassum
- Department of Electrical Engineering, The University of Texas at Tyler, Tyler, TX 75799, USA;
| | - Satyendra K. Mishra
- Danish Offshore Technology Center, Technical University of Denmark, 2800 Lyngby, Denmark
- SRCOM, Centre Technologic de Telecomunicacions de Catalunya, 08860 Castelldefels, Barcelona, Spain
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He JR, Wei JW, Chen SY, Li N, Zhong XD, Li YQ. Machine Learning-Assisted Synchronous Fluorescence Sensing Approach for Rapid and Simultaneous Quantification of Thiabendazole and Fuberidazole in Red Wine. SENSORS (BASEL, SWITZERLAND) 2022; 22:9979. [PMID: 36560348 PMCID: PMC9785232 DOI: 10.3390/s22249979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/09/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Rapid analysis of components in complex matrices has always been a major challenge in constructing sensing methods, especially concerning time and cost. The detection of pesticide residues is an important task in food safety monitoring, which needs efficient methods. Here, we constructed a machine learning-assisted synchronous fluorescence sensing approach for the rapid and simultaneous quantitative detection of two important benzimidazole pesticides, thiabendazole (TBZ) and fuberidazole (FBZ), in red wine. First, fluorescence spectra data were collected using a second derivative constant-energy synchronous fluorescence sensor. Next, we established a prediction model through the machine learning approach. With this approach, the recovery rate of TBZ and FBZ detection of pesticide residues in red wine was 101% ± 5% and 101% ± 15%, respectively, without resorting complicated pretreatment procedures. This work provides a new way for the combination of machine learning and fluorescence techniques to solve the complexity in multi-component analysis in practical applications.
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McCourt KM, Cochran J, Abdelbasir SM, Carraway ER, Tzeng TRJ, Tsyusko OV, Vanegas DC. Potential Environmental and Health Implications from the Scaled-Up Production and Disposal of Nanomaterials Used in Biosensors. BIOSENSORS 2022; 12:1082. [PMID: 36551049 PMCID: PMC9775545 DOI: 10.3390/bios12121082] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/19/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Biosensors often combine biological recognition elements with nanomaterials of varying compositions and dimensions to facilitate or enhance the operating mechanism of the device. While incorporating nanomaterials is beneficial to developing high-performance biosensors, at the stages of scale-up and disposal, it may lead to the unmanaged release of toxic nanomaterials. Here we attempt to foster connections between the domains of biosensors development and human and environmental toxicology to encourage a holistic approach to the development and scale-up of biosensors. We begin by exploring the toxicity of nanomaterials commonly used in biosensor design. From our analysis, we introduce five factors with a role in nanotoxicity that should be considered at the biosensor development stages to better manage toxicity. Finally, we contextualize the discussion by presenting the relevant stages and routes of exposure in the biosensor life cycle. Our review found little consensus on how the factors presented govern nanomaterial toxicity, especially in composite and alloyed nanomaterials. To bridge the current gap in understanding and mitigate the risks of uncontrolled nanomaterial release, we advocate for greater collaboration through a precautionary One Health approach to future development and a movement towards a circular approach to biosensor use and disposal.
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Affiliation(s)
- Kelli M McCourt
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC 29634, USA
- Global Alliance for Rapid Diagnostics (GARD), Michigan State University, East Lancing, MI 48824, USA
| | - Jarad Cochran
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546, USA
| | - Sabah M Abdelbasir
- Central Metallurgical Research and Development Institute, P.O. Box 87, Helwan 11421, Egypt
| | - Elizabeth R Carraway
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC 29634, USA
| | - Tzuen-Rong J Tzeng
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Olga V Tsyusko
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546, USA
| | - Diana C Vanegas
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC 29634, USA
- Global Alliance for Rapid Diagnostics (GARD), Michigan State University, East Lancing, MI 48824, USA
- Interdisciplinary Group for Biotechnology Innovation and Ecosocial Change (BioNovo), Universidad del Valle, Cali 76001, Colombia
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Elistratova JG, Akhmadeev BS, Islamova LN, Fazleeva GM, Kalinin AA, Orekhov AS, Petrov KA, Sinyashin OG, Mustafina AR. Mixed bilayers of phosphatidylcholine with dialkylaminostyrylhetarene dyes for AChE-assisted fluorescent sensing of paraoxon. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.120270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Sebastian N, Yu WC, Balram D. Ultrasensitive Electrochemical Detection and Plasmon-Enhanced Photocatalytic Degradation of Rhodamine B Based on Dual-Functional, 3D, Hierarchical Ag/ZnO Nanoflowers. SENSORS 2022; 22:s22135049. [PMID: 35808543 PMCID: PMC9269782 DOI: 10.3390/s22135049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 01/25/2023]
Abstract
The sensitive detection and degradation of synthetic dyes are pivotal to maintain safety owing to the adverse side effects they impart on living beings. In this work, we developed a sensitive electrochemical sensor for the nanomolar-level detection of rhodamine B (RhB) using a dual-functional, silver-decorated zinc oxide (Ag/ZnO) composite-modified, screen-printed carbon electrode. The plasmon-enhanced photocatalytic degradation of organic pollutant RhB was also performed using this nanocomposite prepared by embedding different weight percentages (1, 3, and 5 wt%) of Ag nanoparticles on the surface of a three-dimensional (3D), hierarchical ZnO nanostructure based on the photoreduction approach. The structure and morphology of an Ag/ZnO nanocomposite were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), elemental mapping, ultraviolet-visible (UV-vis) spectroscopy, and X-ray diffraction (XRD). The electrochemical sensor exhibited a very high sensitivity of 151.44 µAµM-1cm-2 and low detection limit of 0.8 nM towards RhB detection. The selectivity, stability, repeatability, reproducibility, and practical feasibility were also analyzed to prove their reliability. Furthermore, the photocatalysis results revealed that 3 wt% of the Ag/ZnO hybrid nanostructure acquired immense photostability, reusability, and 90.5% degradation efficiency under visible light. Additionally, the pseudo-first-order rate constant of Ag-3/ZnO is 2.186 min-1 suggested promising activity in visible light photocatalysis.
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Affiliation(s)
- Neethu Sebastian
- Institute of Organic and Polymeric Materials, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei 106, Taiwan;
| | - Wan-Chin Yu
- Institute of Organic and Polymeric Materials, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei 106, Taiwan;
- Correspondence:
| | - Deepak Balram
- Department of Electrical Engineering, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei 106, Taiwan;
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