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Nguyen HA, Mai QD, Nguyet Nga DT, Pham MK, Nguyen QK, Do TH, Luong VT, Lam VD, Le AT. Paper/GO/e-Au flexible SERS sensors for in situ detection of tricyclazole in orange juice and on cucumber skin at the sub-ppb level: machine learning-assisted data analysis. NANOSCALE ADVANCES 2024; 6:3106-3118. [PMID: 38868820 PMCID: PMC11166118 DOI: 10.1039/d3na01113e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/23/2024] [Indexed: 06/14/2024]
Abstract
Despite being an excellent surface enhanced Raman scattering (SERS) active material, gold nanoparticles were difficult to be loaded onto the surface of filter paper to fabricate flexible SERS substrates. In this study, electrochemically synthesized gold nanoparticles (e-AuNPs) were deposited on graphene oxide (GO) nanosheets in solution by ultrasonication, resulting in the formation of a GO/Au hybrid material. Thanks to the support of GO, the hybrid material could adhere onto the surface of filter paper, which was immersed into a GO/Au solution for 24 h and dried naturally at room temperature. The paper-based materials were then employed as substrates for a surface enhanced Raman scattering (SERS) sensing platform to detect tricyclazole (TCZ), a widely used pesticide, resulting in better sensitivity compared to the use of paper/Au SERS sensors. With the most optimal GO content of 4%, paper/GO/Au SERS sensors could achieve a limit of detection of 1.32 × 10-10 M in standard solutions. Furthermore, the filter paper-based SERS sensors also exhibited significant advantages in sample collection in real samples. On one hand, the sensors were dipped into orange juice, allowing TCZ molecules in this real sample to be adsorbed onto their SERS active surface. On the other hand, they were pasted onto cucumber skin to collect the analytes. As a result, the paper/GO/Au SERS sensors could sense TCZ in orange juice and on cucumber skin at concentrations as low as 10-9 M (∼2 ppb). In addition, a machine learning model was designed and developed, allowing the sensing system to discriminate TCZ from nine other organic compounds and predict the presence of TCZ on cucumber skin at concentrations down to 10-9 M.
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Affiliation(s)
- Ha Anh Nguyen
- Phenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam
| | - Quan Doan Mai
- Phenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam
| | - Dao Thi Nguyet Nga
- Phenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam
| | - Minh Khanh Pham
- Phenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam
| | - Quoc Khanh Nguyen
- Faculty of Computer Science, Phenikaa University Hanoi 12116 Vietnam
| | - Trong Hiep Do
- Faculty of Computer Science, Phenikaa University Hanoi 12116 Vietnam
| | - Van Thien Luong
- Faculty of Computer Science, Phenikaa University Hanoi 12116 Vietnam
| | - Vu Dinh Lam
- Institute of Materials Science (IMS), Graduate University of Science and Technology (GUST), Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Hanoi 10000 Vietnam
| | - Anh-Tuan Le
- Phenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam
- Faculty of Materials Science and Engineering (MSE), Phenikaa University Hanoi 12116 Vietnam
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Pratap Singh Raman A, Thakur G, Pandey G, Kumari K, Singh P. An Updated Review on Functionalized Graphene as Sensitive Materials in Sensing of Pesticides. Chem Biodivers 2024; 21:e202302080. [PMID: 38578653 DOI: 10.1002/cbdv.202302080] [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: 12/22/2023] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/06/2024]
Abstract
Numerous chemical pesticides were employed for a long time to manage pests, but their uncontrolled application harmed the health and the environment. Accurately quantifying pesticide residues is essential for risk evaluation and regulatory purposes. Numerous analytical methods have been developed and utilized to achieve sensitive and specific detection of pesticides in intricate sampl es like water, soil, food, and air. Electrochemical sensors based on amperometry, potentiometry, or impedance spectroscopy offer portable, rapid, and sensitive detection suitable for on-site analysis. This study examines the potential of electrochemical sensors for the accurate evaluation of various effects of pesticides. Emphasizing the use of Graphene (GR), Graphene Oxide (GO), Reduced Graphene Oxide (rGO), and Graphdiyne composites, the study highlights their enhanced performance in pesticide sensing by stating the account of many actual sensors that have been made for specific pesticides. Computational studies provide valuable insights into the adsorption kinetics, binding energies, and electronic properties of pesticide-graphene complexes, guiding the design and optimization of graphene-based sensors with improved performance. Furthermore, the discussion extends to the emerging field of biopesticides. While the GR/GO/rGO based sensors hold immense future prospects, and their existing limitations have also been discussed, which need to be solved with future research.
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Affiliation(s)
- Anirudh Pratap Singh Raman
- Department of Chemistry, Atma Ram Sanatan Dharma College, University of Delhi, Delhi, India
- Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi- NCR Campus, Delhi-Merrut Road, Modinagar, Ghaziabad, UP, India
| | - Gauri Thakur
- Department of Chemistry, Atma Ram Sanatan Dharma College, University of Delhi, Delhi, India
- Department of Chemistry, Indian Institute of Technology, Madras, India
| | - Garima Pandey
- Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi- NCR Campus, Delhi-Merrut Road, Modinagar, Ghaziabad, UP, India
| | - Kamlesh Kumari
- Department of Zoology, University of Delhi, Delhi, India
| | - Prashant Singh
- Department of Chemistry, Atma Ram Sanatan Dharma College, University of Delhi, Delhi, India
- Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi- NCR Campus, Delhi-Merrut Road, Modinagar, Ghaziabad, UP, India
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Li M, He X, Wu C, Wang L, Zhang X, Gong X, Zeng X, Huang Y. Deep Learning Enabled SERS Identification of Gaseous Molecules on Flexible Plasmonic MOF Nanowire Films. ACS Sens 2024; 9:979-987. [PMID: 38299870 DOI: 10.1021/acssensors.3c02519] [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] [Indexed: 02/02/2024]
Abstract
Through the capture of a target molecule at the metal surface with a highly confined electromagnetic field induced by surface plasmon, surface enhanced Raman spectroscopy (SERS) emerges as a spectral analysis technology with high sensitivity. However, accurate SERS identification of a gaseous molecule with low density and high velocity is still a challenge due to its difficulty in capture. In this work, a flexible paper-based plasmonic metal-organic framework (MOF) film consisting of Ag nanowires@ZIF-8 (AgNWs@ZIF-8) is fabricated for SERS detection of gaseous molecules. Benefiting from its micronanopores generated by the nanowire network and ZIF-8 shell, the effective capture of the gaseous molecule is achieved, and its SERS spectrum is obtained in this paper-based flexible plasmonic MOF nanowire film. With optimal structure parameters, spectra of gaseous 4-aminothiophenol, 4-mercaptophenol, and dithiohydroquinone demonstrate that this film has good SERS performance, which could maintain obvious Raman signals within 30 days during reproducible detection. To realize SERS identification of gaseous molecules, deep learning is performed based on the SERS spectra of the mixed gaseous analyte obtained in this flexible porous film. The results point out that an artificial neural network algorithm could identify gaseous aldehydes (gaseous biomarker of colorectal cancer) in simulated exhaled breath with high accuracy at 93.7%. The integration of the flexible paper-based film sensors with deep learning offers a promising new approach for noninvasive colorectal cancer screening. Our work explores SERS applications in gaseous analyte detection and has broad potential in clinical medicine, food safety, environmental monitoring, etc.
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Affiliation(s)
- Minghong Li
- Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 401331, China
| | - Xi He
- Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 401331, China
| | - Chaolin Wu
- Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 401331, China
| | - Li Wang
- Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 401331, China
| | - Xin Zhang
- Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 401331, China
- Chongqing Industry Polytechnic College, Chongqing 401120, China
| | - Xiangnan Gong
- Analytical and Testing Center, Chongqing University, Chongqing 401331, China
| | - Xiping Zeng
- Shenzhen Huake-Tek Company Limited, Shenzhen, Guangdong 518116, China
| | - Yingzhou Huang
- Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 401331, China
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Barbillon G, Cheap-Charpentier H. Advances in Surface-Enhanced Raman Scattering Sensors of Pollutants in Water Treatment. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2417. [PMID: 37686925 PMCID: PMC10489740 DOI: 10.3390/nano13172417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023]
Abstract
Water scarcity is a world issue, and a solution to address it is the use of treated wastewater. Indeed, in these wastewaters, pollutants such as pharmaceuticals, pesticides, herbicides, and heavy ions can be present at high concentrations. Thus, several analytical techniques were initiated throughout recent years for the detection and quantification of pollutants in different types of water. Among them, the surface-enhanced Raman scattering (SERS) technique was examined due to its high sensitivity and its ability to provide details on the molecular structure. Herein, we summarize the most recent advances (2021-2023) on SERS sensors of pollutants in water treatment. In this context, we present the results obtained with the SERS sensors in terms of detection limits serving as assessment of SERS performances of these sensors for the detection of various pollutants.
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Affiliation(s)
- Grégory Barbillon
- EPF-Ecole d’Ingénieurs, 55 Avenue du Président Wilson, 94230 Cachan, France;
| | - Hélène Cheap-Charpentier
- EPF-Ecole d’Ingénieurs, 55 Avenue du Président Wilson, 94230 Cachan, France;
- Laboratoire Interfaces et Systèmes Electrochimiques, Sorbonne Université, CNRS, UMR 8235, LISE, 4 Place Jussieu, 75005 Paris, France
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Zhao W, Yang S, Zhang D, Zhou T, Huang J, Gao M, Jiang Y, Liu Y, Yang J. Ultrasensitive dual-enhanced sandwich strategy for simultaneous detection of Escherichia coli and Staphylococcus aureus based on optimized aptamers-functionalized magnetic capture probes and graphene oxide-Au nanostars SERS tags. J Colloid Interface Sci 2023; 634:651-663. [PMID: 36549213 DOI: 10.1016/j.jcis.2022.12.077] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/09/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
In this work, a novel surface-enhanced Raman scattering (SERS) sandwich strategy biosensing platform has been established for simultaneously detecting Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). Fe3O4@SiO2-Au nanocomposites (NCs) with varying amounts of Au nanocrystals were prepared, and the effect of interparticle gaps on SERS activity was studied by finite-difference time-domain (FDTD) method. The optimal magnetic SERS-active substrates (FS-A5) were functionalized with the specific aptamers to act as capture probes. Meanwhile, graphene oxide-Au nanostars (GO-Au NSs) decorated with Raman reporters and aptamers were used as SERS tags. The loading density of Au NSs on GO was tuned to change the number of SERS active sites. In this proposal, E. coli and S. aureus were first captured by capture probes and then bound with SERS tags to form a sandwich-like structure, which caused enhanced electromagnetic field because of the dual enhancement strategy. Under optimal conditions, SERS platform could detect E. coli and S. aureus simultaneously, and the detection limit was as low as 10 cfu/mL. Our sandwich assay-based dual-enhanced SERS platform provides a new idea for simultaneously detecting multiple pathogens with high selectivity and sensitivity, and thus will have more hopeful prospects in the field of food safety.
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Affiliation(s)
- Wenshi Zhao
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuo Yang
- College of Science, Changchun University, Changchun 130022, China
| | - Daxin Zhang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianxiang Zhou
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Jie Huang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Ming Gao
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yuhong Jiang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yang Liu
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China.
| | - Jinghai Yang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China.
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Zhai H, Zhu C, Wang X, Yuan Y, Tang H. Arrays of Ag-nanoparticles decorated TiO2 nanotubes as reusable three-dimensional surface-enhanced Raman scattering substrates for molecule detection. Front Chem 2022; 10:992236. [PMID: 36262347 PMCID: PMC9574249 DOI: 10.3389/fchem.2022.992236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
Abstract
Three-dimensional surface-enhanced Raman scattering (SERS) substrates usually provide more hot spots in the excitation light beam and higher sensitivity when compared with the two-dimensional counterpart. Here a simple approach is presented for the fabrication of arrays of Ag-nanoparticles decorated TiO2 nanotubes. Arrays of ZnO nanorods were fabricated in advance by a hydrothermal method. Then TiO2 nanotube arrays were achieved by immersing the arrays of ZnO nanorods in an aqueous solution of (NH4)2TiF6 for 1.5 h. Vertically aligned TiO2 nanotube arrays were modified with dense Ag nanoparticles by Ag mirror reaction. High density of Ag nanoparticles decorated on the fabricated TiO2 nanotubes provide plenty of hotspots for Raman enhancement. In addition, the fabricated array of Ag nanoparticles modified TiO2 nanotubes can serve as a reusable SERS substrate because of the photocatalytic activity of the TiO2 nanotubes. The SERS substrate adsorbed with analyte molecules can realize self-cleaning in deionized water after UV irradiation for 2.5 h. The sensitivity of the fabricated SERS substrate was investigated by the detection of organic dye molecules. The detectable concentration limits of rhodamine 6G (R6G), malachite green (MG) and methylene blue (MB) were found to be 10−12 M, 10−9 M and 10−8 M, respectively. The enhancement factor (EF) of the three-dimensional SERS substrate was estimated to be as high as ∼1.4×108. Therefore, the prepared Ag nanoparticles modified TiO2 nanotube arrays have promising potentials to be applied to rapid and trace SERS detection of organic chemicals.
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Affiliation(s)
- Haichao Zhai
- College of Chemistry and Chemical Engineering, School of Materials Science and Engineering, Anhui University, Hefei, China
| | - Chuhong Zhu
- College of Chemistry and Chemical Engineering, School of Materials Science and Engineering, Anhui University, Hefei, China
- *Correspondence: Chuhong Zhu, ; Xiujuan Wang, ; Haibin Tang,
| | - Xiujuan Wang
- School of Microelectronics, Hefei University of Technology, Hefei, China
- *Correspondence: Chuhong Zhu, ; Xiujuan Wang, ; Haibin Tang,
| | - Yupeng Yuan
- College of Chemistry and Chemical Engineering, School of Materials Science and Engineering, Anhui University, Hefei, China
| | - Haibin Tang
- Key Laboratory of Materials Physics, Anhui Key Laboratory of Nanomaterials and Nanotechnology, Institute of Solid State Physics, HFIPS, Chinese Academy of Sciences, Hefei, China
- *Correspondence: Chuhong Zhu, ; Xiujuan Wang, ; Haibin Tang,
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Jiao S, Liu Y, Wang S, Wang S, Ma F, Yuan H, Zhou H, Zheng G, Zhang Y, Dai K, Liu C. Face-to-Face Assembly of Ag Nanoplates on Filter Papers for Pesticide Detection by Surface-Enhanced Raman Spectroscopy. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:1398. [PMID: 35564107 PMCID: PMC9104380 DOI: 10.3390/nano12091398] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/04/2022] [Accepted: 04/06/2022] [Indexed: 02/04/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) technology has been regarded as a most efficient and sensitive strategy for the detection of pollutants at ultra-low concentrations. Fabrication of SERS substrates is of key importance in obtaining the homogeneous and sensitive SERS signals. Cellulose filter papers loaded with plasmonic metal NPs are well known as cost-effective and efficient paper-based SERS substrates. In this manuscript, face-to-face assembly of silver nanoplates via solvent-evaporation strategies on the cellulose filter papers has been developed for the SERS substrates. Furthermore, these developed paper-based SERS substrates are utilized for the ultra-sensitive detection of the rhodamine 6G dye and thiram pesticides. Our theoretical studies reveal the creation of high density hotspots, with a huge localized and enhanced electromagnetic field, near the corners of the assembled structures, which justifies the ultrasensitive SERS signal in the fabricated paper-based SERS platform. This work provides an excellent paper-based SERS substrate for practical applications, and one which can also be beneficial to human health and environmental safety.
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Affiliation(s)
- Sulin Jiao
- School of Materials Science and Engineering, Key Laboratory of Materials Processing and Mold (Zhengzhou University), Ministry of Education, Zhengzhou 450001, China; (S.J.); (S.W.); (C.L.)
- Henan Key Laboratory of Advanced Nylon Materials and Application (Zhengzhou University), Zhengzhou University, Zhengzhou 450001, China
- Key Laboratory of Material Physics, School of Physics and Microelectronics, Ministry of Education, Zhengzhou University, Zhengzhou 450001, China; (Y.L.); (F.M.)
| | - Yixin Liu
- Key Laboratory of Material Physics, School of Physics and Microelectronics, Ministry of Education, Zhengzhou University, Zhengzhou 450001, China; (Y.L.); (F.M.)
| | - Shenli Wang
- School of Food Science and Engineering, Henan University of Technology, Lianhua Road 100, Zhengzhou 450001, China;
| | - Shuo Wang
- School of Materials Science and Engineering, Key Laboratory of Materials Processing and Mold (Zhengzhou University), Ministry of Education, Zhengzhou 450001, China; (S.J.); (S.W.); (C.L.)
- Henan Key Laboratory of Advanced Nylon Materials and Application (Zhengzhou University), Zhengzhou University, Zhengzhou 450001, China
| | - Fengying Ma
- Key Laboratory of Material Physics, School of Physics and Microelectronics, Ministry of Education, Zhengzhou University, Zhengzhou 450001, China; (Y.L.); (F.M.)
| | - Huiyu Yuan
- Henan Key Laboratory of High Temperature Functional Ceramics, School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China;
| | - Haibo Zhou
- Institute of Pharmaceutical Analysis, College of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Guangchao Zheng
- Key Laboratory of Material Physics, School of Physics and Microelectronics, Ministry of Education, Zhengzhou University, Zhengzhou 450001, China; (Y.L.); (F.M.)
| | - Yuan Zhang
- Key Laboratory of Material Physics, School of Physics and Microelectronics, Ministry of Education, Zhengzhou University, Zhengzhou 450001, China; (Y.L.); (F.M.)
| | - Kun Dai
- School of Materials Science and Engineering, Key Laboratory of Materials Processing and Mold (Zhengzhou University), Ministry of Education, Zhengzhou 450001, China; (S.J.); (S.W.); (C.L.)
- Henan Key Laboratory of Advanced Nylon Materials and Application (Zhengzhou University), Zhengzhou University, Zhengzhou 450001, China
| | - Chuntai Liu
- School of Materials Science and Engineering, Key Laboratory of Materials Processing and Mold (Zhengzhou University), Ministry of Education, Zhengzhou 450001, China; (S.J.); (S.W.); (C.L.)
- Henan Key Laboratory of Advanced Nylon Materials and Application (Zhengzhou University), Zhengzhou University, Zhengzhou 450001, China
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Terry LR, Sanders S, Potoff RH, Kruel JW, Jain M, Guo H. Applications of surface-enhanced Raman spectroscopy in environmental detection. ANALYTICAL SCIENCE ADVANCES 2022; 3:113-145. [PMID: 38715640 PMCID: PMC10989676 DOI: 10.1002/ansa.202200003] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 06/11/2024]
Abstract
As the human population grows, the anthropogenic impacts from various agricultural and industrial processes produce unwanted contaminants in the environment. The accurate, sensitive and rapid detection of such contaminants is vital for human health and safety. Surface-enhanced Raman spectroscopy (SERS) is a valuable analytical tool with wide applications in environmental contaminant monitoring. The aim of this review is to summarize recent advancements within SERS research as it applies to environmental detection, with a focus on research published or accessible from January 2021 through December 2021 including early-access publications. Our goal is to provide a wide breadth of information that can be used to provide background knowledge of the field, as well as inform and encourage further development of SERS techniques in protecting environmental quality and safety. Specifically, we highlight the characteristics of effective SERS nanosubstrates, and explore methods for the SERS detection of inorganic, organic, and biological contaminants including heavy metals, pharmaceuticals, plastic particles, synthetic dyes, pesticides, viruses, bacteria and mycotoxins. We also discuss the current limitations of SERS technologies in environmental detection and propose several avenues for future investigation. We encourage researchers to fill in the identified gaps so that SERS can be implemented in a real-world environment more effectively and efficiently, ultimately providing reliable and timely data to help and make science-based strategies and policies to protect environmental safety and public health.
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Affiliation(s)
- Lynn R. Terry
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Sage Sanders
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Rebecca H. Potoff
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Jacob W. Kruel
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Manan Jain
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Huiyuan Guo
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
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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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Recent Developments in Plasmonic Sensors of Phenol and Its Derivatives. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app112210519] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Many scientists are increasingly interested in on-site detection methods of phenol and its derivatives because these substances have been universally used as a significant raw material in the industrial manufacturing of various chemicals of antimicrobials, anti-inflammatory drugs, antioxidants, and so on. The contamination of phenolic compounds in the natural environment is a toxic response that induces harsh impacts on plants, animals, and human health. This mini-review updates recent developments and trends of novel plasmonic resonance nanomaterials, which are assisted by various optical sensors, including colorimetric, fluorescence, localized surface plasmon resonance (LSPR), and plasmon-enhanced Raman spectroscopy. These advanced and powerful analytical tools exhibit potential application for ultrahigh sensitivity, selectivity, and rapid detection of phenol and its derivatives. In this report, we mainly emphasize the recent progress and novel trends in the optical sensors of phenolic compounds. The applications of Raman technologies based on pure noble metals, hybrid nanomaterials, and metal–organic frameworks (MOFs) are presented, in which the remaining establishments and challenges are discussed and summarized to inspire the future improvement of scientific optical sensors into easy-to-operate effective platforms for the rapid and trace detection of phenol and its derivatives.
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Wang Y, Li P, Lin D, Chen J, Zhang Y, Yang L. Ethanol-extraction SERS strategy for highly sensitive detection of poisons in oily matrix. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 259:119883. [PMID: 33971441 DOI: 10.1016/j.saa.2021.119883] [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: 01/15/2021] [Revised: 04/19/2021] [Accepted: 04/24/2021] [Indexed: 06/12/2023]
Abstract
The sensitive detection and identification of toxicants in oily matrices have suffered from difficulty in poisoning incidents, therefore it is necessary to develop the rapid and efficient analytical method to realize the on-site screening and analyzing. In this report, the surface-enhanced Raman spectroscopy (SERS) method was used to detect paraquat and diquat poisons in various oily matrix coupled with solvent extraction. The solvent extraction not only remove interfering impurities of oily substrates, but also can enrich and separate the poisons from oily matrix. It was demonstrated that the ethanol as the extractant was suitable for the rapid separation of poisons such as paraquat (PQ) and diquat (DQ) in oily matrix (soy sauce, pasta sauce, sesame oil, chili oil). Moreover, combined with a handheld Raman spectrometer, the entire detection process was completed within 8 min with the level of 10 ppb PQ and 100 ppb DQ. Furthermore, double-blind experiments verify the reliability of this method. The results demonstrate that this rapid and convenient method could be used for the effective enrichment and sensitive detection of poisons in several oily matrix and has the grate potential application in emergency response and public safety.
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Affiliation(s)
- Yongtao Wang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China
| | - Pan Li
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
| | - Dongyue Lin
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
| | - Jianyi Chen
- Hefei No.Eight Senior High School, Hefei 230071, China
| | - Yunfeng Zhang
- Institute of Forensic Science, Ministry of Public Security, PRC, Beijing 100038, China
| | - Liangbao Yang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
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Hassan MM, Xu Y, Zareef M, Li H, Rong Y, Chen Q. Recent advances of nanomaterial-based optical sensor for the detection of benzimidazole fungicides in food: a review. Crit Rev Food Sci Nutr 2021; 63:2851-2872. [PMID: 34565253 DOI: 10.1080/10408398.2021.1980765] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The abuse of pesticides in agricultural land during pre- and post-harvest causes an increase of residue in agricultural products and pollution in the environment, which ultimately affects human health. Hence, it is crucially important to develop an effective detection method to quantify the trace amount of residue in food and water. However, with the rapid development of nanotechnology and considering the exclusive properties of nanomaterials, optical, and their integrated system have gained exclusive interest for accurately sensing of pesticides in food and agricultural samples to ensure food safety thanks to their unique benefit of high sensitivity, low detection limit, good selectivity and so on and making them a trending hotspot. This review focuses on recent progress in the past five years on nanomaterial-based optical, such as colorimetric, fluorescence, surface-enhanced Raman scattering (SERS), and their integrated system for the monitoring of benzimidazole fungicide (including, carbendazim, thiabendazole, and thiophanate-methyl) residue in food and water samples. This review firstly provides a brief introduction to mentioned techniques, detection mechanism, applied nanomaterials, label-free detection, target-specific detection, etc. then their specific application. Finally, challenges and perspectives in the respective field are discussed.
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Affiliation(s)
- Md Mehedi Hassan
- College of Food and Biological Engineering, Jimei University, Xiamen PR China.,School of Food and Biological Engineering, Jiangsu University, Zhenjiang, PR China
| | - Yi Xu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, PR China
| | - Muhammad Zareef
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, PR China
| | - Huanhuan Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, PR China
| | - Yawen Rong
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, PR China
| | - Quansheng Chen
- College of Food and Biological Engineering, Jimei University, Xiamen PR China.,School of Food and Biological Engineering, Jiangsu University, Zhenjiang, PR China
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