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Chen K, Ma C, Chen G, Yang T, Gao H, Li L, Yang Z, Cao J, Zheng C, Ma L. SERS substrate based on COF@Ag for detecting amoxicillin in honey and lake water. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 313:124165. [PMID: 38493514 DOI: 10.1016/j.saa.2024.124165] [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: 12/07/2023] [Revised: 03/04/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
This study presents the design of a Surface-enhanced Raman scattering (SERS) substrate, COF@Ag, for the sensitive detection of Amoxicillin (AMX) in lake water and honey. Furthermore, the study investigates the role of covalent organic frameworks (COFs) in SERS detection. The characterization results demonstrate the capability of COFs to efficiently enrich Ag nanoparticles (AgNPs), resulting in a more concentrated distribution of hotspots and an enhanced electromagnetic field on the substrate. By employing density functional theory (DFT) simulation, the frontier electronic orbitals of COFs and AMX were analyzed, and the chemical bonds and weak interactions in the system were examined using the Interaction Region Indicator (IRI) method to propose potential enhancement mechanisms. In aqueous solutions, the linear range is 1 μg/L-30 μg/L, with a limit of detection (LOD) 0.279 μg/L. In lake water, the linear range span from 100 μg/L to 500 μg/L, with a detection limit of 8.244 μg/L. For honey, the linear range extend from 20 ng/g to 100 ng/g, with a detection limit of 2.917 ng/g. This method holds key significance in facilitating the rapid detection of amoxicillin and advancing the application of COFs in SERS.
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Affiliation(s)
- Kun Chen
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Chaoqun Ma
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China.
| | - Guoqing Chen
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Taiqun Yang
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Hui Gao
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Lei Li
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Zichen Yang
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China; School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jun Cao
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Chenkai Zheng
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
| | - Longyao Ma
- School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, Jiangsu 214122, China
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2
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Kibar G, Sarıarslan B, Doğanay S, Yıldız G, Usta OB, Çetin B. Novel 3D-Printed Microfluidic Magnetic Platform for Rapid DNA Isolation. Anal Chem 2024; 96:1985-1992. [PMID: 38254336 DOI: 10.1021/acs.analchem.3c04412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
This study presents a novel miniaturized device as a 3D-printed microfluidic magnetic platform specifically designed to manipulate magnetic microparticles in a microfluidic chip for rapid deoxyribonucleic acid (DNA) isolation. The novel design enables the movement of the magnetic particles in the same or opposite directions with the flow or suspends them in continuous flow. A computational model was developed to assess the effectiveness of the magnetic manipulation of the particles. Superparamagnetic monodisperse silica particles synthesized in-house are utilized for the isolation of fish sperm DNA and human placenta DNA. It was demonstrated that the proposed platform can perform DNA isolation within 10 min with an isolation efficiency of 50% at optimum operating conditions.
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Affiliation(s)
- Güneş Kibar
- Department of Materials Science and Engineering, Adana Alparslan Türkeş Science and Technology University, Adana 01250, Turkey
- Center for Engineering in Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
- UNAM─National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Büşra Sarıarslan
- UNAM─National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
- Microfluidics & Lab-on-a-chip Research Group, Mechanical Engineering Department, Bilkent University, Ankara 06800, Turkey
| | - Serkan Doğanay
- Mechatronics Engineering Department İzmir Katip Çelebi University, İzmir 35620, Turkey
| | - Gökay Yıldız
- TEKGEN Healthcare Services Inc., Ümraniye, İstanbul 34775, Turkey
| | - O Berk Usta
- Center for Engineering in Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
- Shriners Children's Hospital, Boston, Massachusetts 02114, United States
| | - Barbaros Çetin
- UNAM─National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
- Microfluidics & Lab-on-a-chip Research Group, Mechanical Engineering Department, Bilkent University, Ankara 06800, Turkey
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3
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Guo H, Ren X, Song X, Li X. Preparation of SiO 2@Ag@molecular imprinted polymers hybrid for sensitive and selective detection of amoxicillin using surface-enhanced Raman scattering. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 291:122365. [PMID: 36652805 DOI: 10.1016/j.saa.2023.122365] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/07/2023] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
In this work, we fabricated a 300 nm-sized silver-coated silica (SiO2@Ag) SERS substrate. Based on SiO2@Ag, we designed SiO2@Ag@molecular imprinted polymers (SiO2@Ag@MIPs) to realize selectively detection of amoxicillin by coating a molecular imprinted layer averagely thinner than 10 nm on SiO2@Ag. The as-prepared SERS-active substrate demonstrates excellent enhancement for amoxicillin as well as the enhancement factors were 1.63 × 106 of SiO2@Ag@MIPs and 2.97 × 105 of SiO2@Ag, respectively. The SiO2@Ag@MIPs core-shell hybrids as SERS substrates and the minimum detectable concentration of amoxicillin was as low as 2.7 × 10-9 M, and the detection limit of SiO2@Ag was 2.7 × 10-7 M. The linear relationship between intensities of characteristic peaks and concentrations of amoxicillin was established. Both SiO2@Ag and SiO2@Ag@MIPs substrates were highly sensitive and could achieve qualitative and semi-quantitative analysis of amoxicillin in aqueous media with good linear correlations. Based on the above, SiO2@Ag@MIPs will be conducive to detecting actual samples and expanding the practical application.
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Affiliation(s)
- Hui Guo
- School of Chemistry and Chemical Engineering, State Key Lab of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Xiaohui Ren
- College of Textile and Clothing, Yancheng Institute of Technology, Yancheng 224051, China
| | - Xinyue Song
- School of Chemistry and Chemical Engineering, State Key Lab of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Xin Li
- School of Chemistry and Chemical Engineering, State Key Lab of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
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Chang TH, Chang YC, Lee CI, Lin YR, Ko FH. Optimization Temperature Programming of Microwave-Assisted Synthesis ZnO Nanoneedle Arrays for Optical and Surface-Enhanced Raman Scattering Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:3989. [PMID: 36432278 PMCID: PMC9696083 DOI: 10.3390/nano12223989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/20/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
This study used a rapid and simple microwave-assisted synthesis method to grow ZnO nanoneedle arrays on the silicon substrate with the ZnO seed layer. The effects of reaction temperature and time on the lengths of ZnO nanoneedle arrays were investigated. The appropriate temperature programming step can grow the longer ZnO nanoneedle arrays at the same reaction time (25 min), which is 2.08 times higher than without the temperature programming step. The geometry of the ZnO nanoneedle arrays features a gradual decrease from the Si substrate to the surface, which provides an excellent progressive refractive index between Si and air, resulting in excellent antireflection properties over an extensive wavelength range. In addition, the ZnO nanoneedle arrays exhibit a suitable structure for uniform deposition of Ag nanoparticles, which can provide three-dimensional hot spots and surface active sites, resulting in higher surface-enhanced Raman scattering (SERS) enhancement, high uniformity, high reusability, and low detection limit for R6G molecule. The ZnO/Ag nanoneedle arrays can also reveal a superior SERS-active substrate detecting amoxicillin (10-8 M). These results are promising for applying the SERS technique for rapid low-concentration determination in different fields.
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Affiliation(s)
- Tung-Hao Chang
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua 50006, Taiwan
- Department of Radiological Technology, Yuanpei University, Hsinchu 30015, Taiwan
- Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung 40601, Taiwan
| | - Yu-Cheng Chang
- Department of Materials Science and Engineering, Feng Chia University, Taichung 40724, Taiwan
| | - Chung-I Lee
- Department of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Ying-Ru Lin
- Department of Materials Science and Engineering, Feng Chia University, Taichung 40724, Taiwan
- Department of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Fu-Hsiang Ko
- Department of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
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Sultangaziyev A, Ilyas A, Dyussupova A, Bukasov R. Trends in Application of SERS Substrates beyond Ag and Au, and Their Role in Bioanalysis. BIOSENSORS 2022; 12:bios12110967. [PMID: 36354477 PMCID: PMC9688019 DOI: 10.3390/bios12110967] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 10/26/2022] [Accepted: 10/30/2022] [Indexed: 05/31/2023]
Abstract
This article compares the applications of traditional gold and silver-based SERS substrates and less conventional (Pd/Pt, Cu, Al, Si-based) SERS substrates, focusing on sensing, biosensing, and clinical analysis. In recent decades plethora of new biosensing and clinical SERS applications have fueled the search for more cost-effective, scalable, and stable substrates since traditional gold and silver-based substrates are quite expensive, prone to corrosion, contamination and non-specific binding, particularly by S-containing compounds. Following that, we briefly described our experimental experience with Si and Al-based SERS substrates and systematically analyzed the literature on SERS on substrate materials such as Pd/Pt, Cu, Al, and Si. We tabulated and discussed figures of merit such as enhancement factor (EF) and limit of detection (LOD) from analytical applications of these substrates. The results of the comparison showed that Pd/Pt substrates are not practical due to their high cost; Cu-based substrates are less stable and produce lower signal enhancement. Si and Al-based substrates showed promising results, particularly in combination with gold and silver nanostructures since they could produce comparable EFs and LODs as conventional substrates. In addition, their stability and relatively low cost make them viable alternatives for gold and silver-based substrates. Finally, this review highlighted and compared the clinical performance of non-traditional SERS substrates and traditional gold and silver SERS substrates. We discovered that if we take the average sensitivity, specificity, and accuracy of clinical SERS assays reported in the literature, those parameters, particularly accuracy (93-94%), are similar for SERS bioassays on AgNP@Al, Si-based, Au-based, and Ag-based substrates. We hope that this review will encourage research into SERS biosensing on aluminum, silicon, and some other substrates. These Al and Si based substrates may respond efficiently to the major challenges to the SERS practical application. For instance, they may be not only less expensive, e.g., Al foil, but also in some cases more selective and sometimes more reproducible, when compared to gold-only or silver-only based SERS substrates. Overall, it may result in a greater diversity of applicable SERS substrates, allowing for better optimization and selection of the SERS substrate for a specific sensing/biosensing or clinical application.
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Dikmen G. Ultrasensitive detection of amoxicillin using the plasmonic silver nanocube as SERS active substrate. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 278:121308. [PMID: 35561447 DOI: 10.1016/j.saa.2022.121308] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
Even though amoxicillin is used as an antibacterial drug in some foods such as fish, chick, etc. However, the use of amoxicillin in the food industry is prohibited. Therefore, rapid detection and sensitive detection at ultra-low concentration of amoxicillin is very important for human. Surface enhanced Raman scattering (SERS) is fast and reliable method to determine the molecules at ultra-low concentration. In this study, silver nanocubes were synthesized and used as SERS active substrate. The synthesized Ag NCs exhibit an excellent sensitivity towards the detection of amoxicillin at the lowest concentration of 10-9 M based on the effect resulting from Ag NCs leading to the high electromagnetic effect and chemical mechanism. The dynamic linear regression between the Raman intensity and amoxicillin concentration over seven orders of magnitude (from 10-4 to 10-9 M) was excellent with high reliability (R2 = 0.99). On the one hand, SERS substrate can be used after storing for 20 days. Because Ag NCs also demonstrated remarkable recyclability, reproducibility, and chemical stability. As a result, Ag NCs can be used as a potential SERS substrate to detect amoxicillin at ultra-low concentration.
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Affiliation(s)
- Gökhan Dikmen
- Eskisehir Osmangazi University, Central Research Laboratory Application and Research Center (ARUM), Eskisehir 26040, Turkey.
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7
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Detection of benzylpenicillin sodium and ampicillin residue based on flower-like silver nanostructures using surface-enhanced Raman spectroscopy. RESEARCH ON CHEMICAL INTERMEDIATES 2021. [DOI: 10.1007/s11164-021-04574-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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8
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Kumar R, Lakshmi G, Dhiman TK, Singh K, Solanki PR. Highly sensitive amoxicillin immunosensor based on aqueous vanadium disulphide quantum dots. J Electroanal Chem (Lausanne) 2021. [DOI: 10.1016/j.jelechem.2021.115266] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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9
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Wang L, Zhou G, Guan XL, Zhao L. Rapid preparation of surface-enhanced Raman substrate in microfluidic channel for trace detection of amoxicillin. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 235:118262. [PMID: 32251895 DOI: 10.1016/j.saa.2020.118262] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 03/08/2020] [Accepted: 03/15/2020] [Indexed: 05/18/2023]
Abstract
A high sensitive surface-enhanced Raman scattering (SERS) substrate based on the Ag dendrite in a T-type microfluidic device was constructed by a simple and rapid strategy. According to the simulated results by COMSOL Multiphysics, the microfluidic-SERS sensor was fabricated by simultaneously introducing into 40 mmol·L-1 silver nitrate solution and 0.2 mol·L-1 sodium nitrate solution for about 15 min with the flow velocity at 20 µL·min-1 at room temperature, respectively. The analytical performance of this sensor was investigated with different concentrations of amoxicillin aqueous solution, and the detection limit was up to 1.0 ng·mL-1. And the semi-quantitation was obtained from the relationship between the Raman intensity and the logarithm of the amoxicillin concentration. This method can be employed to fabricate high sensitive microfluidic-SERS sensors as well as realize many lab-on-a-chip applications with the integration of other microfluidic networks.
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Affiliation(s)
- Li Wang
- School of Materials Science and Engineering, Beihang University, Beijing 100083, China
| | - Gang Zhou
- School of Biological Science and Medical Engineering, Beihang University, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing 100083, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 102402, China; Shenzhen Research Institute, Beihang University, Shenzhen 518057, China.
| | - Xia-Li Guan
- School of Biological Science and Medical Engineering, Beihang University, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing 100083, China
| | - Li Zhao
- School of Biological Science and Medical Engineering, Beihang University, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing 100083, China
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Chang YC, Wu SH. Bi-functional Al-doped ZnO@SnO2 heteronanowires as efficient substrates for improving photocatalytic and SERS performance. J IND ENG CHEM 2019. [DOI: 10.1016/j.jiec.2019.03.058] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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11
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Song D, Yang R, Long F, Zhu A. Applications of magnetic nanoparticles in surface-enhanced Raman scattering (SERS) detection of environmental pollutants. J Environ Sci (China) 2019; 80:14-34. [PMID: 30952332 DOI: 10.1016/j.jes.2018.07.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 06/25/2018] [Accepted: 07/18/2018] [Indexed: 05/19/2023]
Abstract
Environmental pollution, a major problem worldwide, poses considerable threat to human health and ecological environment. Efficient and reliable detection technologies, which focus on the appearance of emerging environmental and trace pollutants, are urgently needed. Surface-enhanced Raman scattering (SERS) has become an attractive analytical tool for sensing trace targets in environmental field because of its inherent molecular fingerprint specificity and high sensitivity. In this review, we focused on the recent developments in the integration of magnetic nanoparticles (MNPs) with SERS for facilitating sensitive detection of environmental pollutants. An overview and classification of different types of MNPs for SERS detection were initially provided, enabling us to categorize the huge amount of literature that was available in the interdisciplinary research field of MNPs based SERS technology. Then, the basic working principles and applications of MNPs in SERS detection were presented. Subsequently, the detection technologies integrating MNPs with SERS that eventually were used for the detection of various environmental pollutions were reviewed. Finally, the advantages of MNP-basedSERS detection technology for environmental pollutants were concluded, and the current challenges and future outlook of this technology in practical applications were highlighted. The application of the MNPs-basedSERS techniques for environmental analysis will be significantly advanced with the great progresses of the nanotechnologies, optics, and materials.
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Affiliation(s)
- Dan Song
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
| | - Rong Yang
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
| | - Feng Long
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China.
| | - Anna Zhu
- Research Institute of Chemical Defense, Academy of Military Sciences PLA China, Beijing 102205, China; State Key Laboratory of NBC Protection FOR Civilian, Beijing 102205, China.
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Kibar G, Çalışkan U, Erdem EY, Çetin B. One‐pot synthesis of organic–inorganic hybrid polyhedral oligomeric silsesquioxane microparticles in a double‐zone temperature controlled microfluidic reactor. ACTA ACUST UNITED AC 2019. [DOI: 10.1002/pola.29399] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Güneş Kibar
- Department of Materials EngineeringAdana Alparslan Turkes Science and Technology University 01250 Adana Turkey
| | - Umutcan Çalışkan
- Microfluidics & Lab‐on‐a‐chip Research Group, Mechanical Engineering DepartmentBilkent University 06800 Ankara Turkey
| | - E. Yegân Erdem
- Microfluidics & Lab‐on‐a‐chip Research Group, Mechanical Engineering DepartmentBilkent University 06800 Ankara Turkey
- UNAM Institute of Materials Science and NanotechnologyBilkent University 06800 Ankara Turkey
| | - Barbaros Çetin
- Microfluidics & Lab‐on‐a‐chip Research Group, Mechanical Engineering DepartmentBilkent University 06800 Ankara Turkey
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13
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Magnetite-Supported Gold Nanostars for the Uptake and SERS Detection of Tetracycline. NANOMATERIALS 2018; 9:nano9010031. [PMID: 30591645 PMCID: PMC6359395 DOI: 10.3390/nano9010031] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 12/20/2018] [Accepted: 12/21/2018] [Indexed: 01/17/2023]
Abstract
Magnetite nanoparticles (MNPs) decorated with gold nanostars (AuNSs) have been prepared by using a seed growth method without the addition of surfactants or colloidal stabilizers. The hybrid nanomaterials were investigated as adsorbents for the uptake of tetracycline (TC) from aqueous solutions and subsequent detection using surface-enhanced Raman scattering (SERS). Several parameters were investigated in order to optimize the performance of these hybrid platforms on the uptake and SERS detection of TC, including variable pH values and the effect of contact time on the removal of TC. The spatial distribution of TC and AuNS on the hybrid composites was accomplished by coupling SERS analysis with Raman imaging studies, allowing also for the determination of the detection limit for TC when dissolved in ultrapure water (10 nM) and in more complex aqueous matrices (1 μM). Attempts were also made to investigate the adsorption modes of the TC molecules at the surface of the metal NPs by taking into account the enhancement of the Raman bands in these different matrices.
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Chen X, Liu M, Yuan H, Huang S, Tao J, Zhao J. Analysis of Diethylstilbestrol Residues in Chicken Using Surface-Enhanced Raman Spectroscopy (SERS) Coupled with Multivariate Analysis. APPLIED SPECTROSCOPY 2018; 72:1798-1806. [PMID: 30203675 DOI: 10.1177/0003702818797344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Estrogen residues, including diethylstilbestrol in chicken, are one of the main food safety concerns all over the world owing to a series of negative effects on the human body. Surface-enhanced Raman spectroscopy (SERS) coupled with multivariate analysis was applied to detect rapidly diethylstilbestrol residues in chicken. The detection conditions, including the sizes of colloidal gold nanoparticles (Au NPs) and the additional amounts of Au NPs, chicken extract containing diethylstilbestrol, and magnesium sulfate solution, as well as the adsorption time, were optimized by a single factor experiment to obtain a better detection effect of diethylstilbestrol residues in chicken. Partial least squares regression (PLSR) was the best quantitative model for the detection of diethylstilbestrol residues in chicken by comparing four chemometric models. Diethylstilbestrol residues in chicken could be predicted by PLSR with the low root mean square error (RMSE = 0.4128 mg/L), and the high determination coefficient (R2 = 0.9811) and ratio of prediction to deviation (RPD = 7.2566) for the test set. A novel approach, which has the potential for the analysis of other estrogen residues in meat, was developed to detect rapidly the diethylstilbestrol residues in chicken by using SERS coupled with multivariate analysis.
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Affiliation(s)
- Xiongfei Chen
- Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, China
| | - Muhua Liu
- Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, China
- Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Provence, Jiangxi Agricultural University, Nanchang, China
| | - Haichao Yuan
- Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, China
| | - Shuanggen Huang
- Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, China
| | - Jinjiang Tao
- Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, China
| | - Jinhui Zhao
- Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, China
- Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Provence, Jiangxi Agricultural University, Nanchang, China
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Kibar G, Tuncel A. Gold-Nanoparticle Decorated Monosized Magnetic Polymer Based Catalyst: Reduction of 4-Nitrophenol. J Inorg Organomet Polym Mater 2018. [DOI: 10.1007/s10904-018-0899-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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16
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Jiang Y, Sun DW, Pu H, Wei Q. Surface enhanced Raman spectroscopy (SERS): A novel reliable technique for rapid detection of common harmful chemical residues. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.02.020] [Citation(s) in RCA: 133] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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17
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Lu H, Zhu L, Zhang C, Wang Z, Lv Y, Chen K, Cui Y. Highly uniform SERS-active microchannel on hydrophobic PDMS: a balance of high reproducibility and sensitivity for detection of proteins. RSC Adv 2017. [DOI: 10.1039/c6ra25173k] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
SERS-active microchannels on hydrophobic polydimethylsiloxane (PDMS) with both high reproducibility and sensitivity are fabricated. Proteins might denature while drying on the SERS-active substrate, but keep native structures in the microchannels.
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Affiliation(s)
- Hui Lu
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| | - Li Zhu
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| | - Chuanlong Zhang
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| | - Zhile Wang
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| | - Yiru Lv
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| | - Kexiang Chen
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| | - Yiping Cui
- Advanced Photonics Center
- Southeast University
- Nanjing 210096
- China
| |
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