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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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Hajfathalian M, Mossburg KJ, Radaic A, Woo KE, Jonnalagadda P, Kapila Y, Bollyky PL, Cormode DP. A review of recent advances in the use of complex metal nanostructures for biomedical applications from diagnosis to treatment. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1959. [PMID: 38711134 PMCID: PMC11114100 DOI: 10.1002/wnan.1959] [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: 01/14/2024] [Revised: 03/31/2024] [Accepted: 04/01/2024] [Indexed: 05/08/2024]
Abstract
Complex metal nanostructures represent an exceptional category of materials characterized by distinct morphologies and physicochemical properties. Nanostructures with shape anisotropies, such as nanorods, nanostars, nanocages, and nanoprisms, are particularly appealing due to their tunable surface plasmon resonances, controllable surface chemistries, and effective targeting capabilities. These complex nanostructures can absorb light in the near-infrared, enabling noteworthy applications in nanomedicine, molecular imaging, and biology. The engineering of targeting abilities through surface modifications involving ligands, antibodies, peptides, and other agents potentiates their effects. Recent years have witnessed the development of innovative structures with diverse compositions, expanding their applications in biomedicine. These applications encompass targeted imaging, surface-enhanced Raman spectroscopy, near-infrared II imaging, catalytic therapy, photothermal therapy, and cancer treatment. This review seeks to provide the nanomedicine community with a thorough and informative overview of the evolving landscape of complex metal nanoparticle research, with a specific emphasis on their roles in imaging, cancer therapy, infectious diseases, and biofilm treatment. This article is categorized under: Diagnostic Tools > In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery > Nanomedicine for Infectious Disease Diagnostic Tools > Diagnostic Nanodevices.
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Affiliation(s)
- Maryam Hajfathalian
- Department of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ 07102
- Division of Infectious Diseases, School of Medicine, Stanford University, Stanford, CA 94305
| | - Katherine J. Mossburg
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Philadelphia, Pennsylvania 19104, United States
| | - Allan Radaic
- School of Dentistry, University of California Los Angeles
| | - Katherine E. Woo
- Division of Infectious Diseases, School of Medicine, Stanford University, Stanford, CA 94305
| | - Pallavi Jonnalagadda
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Yvonne Kapila
- School of Dentistry, University of California Los Angeles
| | - Paul L. Bollyky
- Division of Infectious Diseases, Department of Medicine, Stanford University
| | - David P. Cormode
- Department of Radiology, Department of Bioengineering, University of Pennsylvania
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Xie J, Zhang B, Gui X, Ma J, Chu J, Guo Z, Wang W, Qin W, Qin Z, Yao H, Bai J. Planting gold nanoflower for harvesting reproducible SERS substrate. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 308:123793. [PMID: 38141506 DOI: 10.1016/j.saa.2023.123793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/21/2023] [Accepted: 12/16/2023] [Indexed: 12/25/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is an ultrasensitive analytical method which has been applied in many fields, and the reproducibility of the substrate is important for reliable SERS analysis. In present work, an innovative method inspired by the flower planting process is put forward to acquire gold nanoflower (AuNF) SERS substrate. Three steps (digging holes, sowing the gold nanoseeds and seeds grow into gold nanoflowers) are included in the substrate fabrication process, and the influence of preparing conditions (like reacting time and Na3Au(SO3)2 concentration) on the substrate morphology and SERS performance are investigated. The acquired AuNF substrate not only exhibits good SERS performance but also possesses excellent reproducibility while being used to detect the rhodamine 6G (R6G) molecular. The relative standard deviation (RSD) of Raman signals among substrates acquired in distinct batches (substrate-to-substrate) is as low as 6.67 %. Since the AuNF substrate is prepared by the wet chemistry route based on seed-mediated growth and there are no expensive reagents or complicated process used, the new process to obtain AuNF substrate is cost-effective and easy to scale up.
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Affiliation(s)
- Jianjun Xie
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Baitong Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaoyu Gui
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Ma
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jian Chu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China; School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - Zaichao Guo
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wentao Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Wei Qin
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhi Qin
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - Huijun Yao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China.
| | - Jing Bai
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China.
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Sun H, Tian Y, Wei J, Wei W, Zhang Z, Han S, Niu W. Silver decahedral nanoparticles with uniform and adjustable sizes for surface-enhanced Raman scattering-based thiram residue detection. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4533-4540. [PMID: 37641926 DOI: 10.1039/d3ay01196h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Surface-enhanced Raman scattering (SERS) has been widely used as a sensitive molecular spectroscopy technology in food safety detection. Precise morphology control of plasmonic nanoparticles for high sensitivity and high uniformity SERS substrates remains challenging. Herein, silver decahedral nanoparticles (AgDeNPs) with uniform and adjustable sizes were synthesized by a photochemical seed-mediated method and utilized as SERS substrates for pesticide residue detection. The SERS sensitivity was demonstrated by using 4-mercaptobenzoic acid (4-MBA) as a typical model molecule, and the limit of detection (LOD) reached 1.0 × 10-13 M. The pesticide residue detection of thiram in aqueous solution and on fruit peels was successfully realized; the LODs were 1.0 × 10-11 M and 0.96 ng cm-2, respectively, and SERS repeatability was also proved. Overall, size-tunable AgDeNPs show attractive SERS performances and are expected to hold potential application in sensitive food and environmental safety detection.
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Affiliation(s)
- Hongda Sun
- School of Science, Shenyang University of Chemical Technology, Shenyang 110142, China
| | - Yu Tian
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
- University of Science and Technology of China, Hefei 230026, China
| | - Jinping Wei
- School of Science, Shenyang University of Chemical Technology, Shenyang 110142, China
| | - Wenli Wei
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
- University of Science and Technology of China, Hefei 230026, China
| | - Zhichao Zhang
- School of Science, Shenyang University of Chemical Technology, Shenyang 110142, China
| | - Shuang Han
- School of Science, Shenyang University of Chemical Technology, Shenyang 110142, China
| | - Wenxin Niu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
- University of Science and Technology of China, Hefei 230026, China
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Zhou X, Chen S, Pan Y, Wang Y, Xu N, Xue Y, Wei X, Lu Y. High-Performance Au@Ag Nanorods Substrate for SERS Detection of Malachite Green in Aquatic Products. BIOSENSORS 2023; 13:766. [PMID: 37622852 PMCID: PMC10452132 DOI: 10.3390/bios13080766] [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: 06/29/2023] [Revised: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/26/2023]
Abstract
In order to improve the detection performance of surface-enhanced Raman scattering (SERS), a low-cost Au@Ag nanorods (Au@Ag NRs) substrate with a good SERS enhancement effect was developed and applied to the detection of malachite green (MG) in aquaculture water and crayfish. By comparing the SERS signal enhancement effect of five kinds of Au@Ag NRs substrates with different silver layer thickness on 4-mercaptobenzoic acid (4-MBA) solution, it was found that the substrate prepared with 100 µL AgNO3 had the smallest aspect ratio (3.27) and the thickest Ag layer (4.1 nm). However, it showed a good signal enhancement effect, and achieved a detection of 4-MBA as low as 1 × 10-11 M, which was 8.7 times higher than that of the AuNRs substrate. In addition, the Au@Ag NRs substrate developed in this study was used for SRES detection of MG in crayfish; its detection limit was 1.58 × 10-9 M. The developed Au@Ag NRs sensor had the advantages of stable SERS signal, uniform size and low cost, which provided a new tool for SERS signal enhancement and highly sensitive SERS detection method development.
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Affiliation(s)
- Xiaoxiao Zhou
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China;
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products on Storage and Preservation, Ministry of Agriculture, Shanghai 201306, China
| | - Shouhui Chen
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.P.); (Y.X.)
- Food Safety Engineering and Technology Research Centre (Shanghai), Shanghai 200240, China
| | - Yi Pan
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.P.); (Y.X.)
| | - Yuanfeng Wang
- Institute of Food Engineering, College of Life Science, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai 200234, China; (Y.W.); (N.X.)
| | - Naifeng Xu
- Institute of Food Engineering, College of Life Science, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai 200234, China; (Y.W.); (N.X.)
| | - Yanwen Xue
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.P.); (Y.X.)
- Food Safety Engineering and Technology Research Centre (Shanghai), Shanghai 200240, China
| | - Xinlin Wei
- Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (Y.P.); (Y.X.)
| | - Ying Lu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China;
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products on Storage and Preservation, Ministry of Agriculture, Shanghai 201306, China
- Marine Biomedical Science and Technology Innovation Platform of Lingang New Area, Shanghai 201306, China
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Zhang L, Wang X, Chen C, Wang R, Qiao X, Waterhouse GIN, Xu Z. A surface-enhanced Raman scattering sensor for the detection of benzo[a]pyrene in foods based on a gold nanostars@reduced graphene oxide substrate. Food Chem 2023; 421:136171. [PMID: 37094406 DOI: 10.1016/j.foodchem.2023.136171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 04/06/2023] [Accepted: 04/12/2023] [Indexed: 04/26/2023]
Abstract
In this study, a simple and sensitive surface-enhanced Raman scattering (SERS) sensor based on gold nanostars@reduced graphene oxide (AuNS@rGO) was successfully developed for the detection of benzo[a]pyrene in foods. The detection strategy involved benzo[a]pyrene adsorption on reduced graphene oxide, followed SERS detection of adsorbed molecules. Owing to the large electric fields generated by the gold nanostars under laser irradiation, which greatly amplified the Raman signals of benzo[a]pyrene, very high sensitivity for the target analyte was achieved. Under optimized conditions, the SERS sensor exhibited a wide linear detection range for benzo[a]pyrene (from 0.1 μg L-1 to 10000 μg L-1), with a low limit of detection of 0.0028 μg L-1. Chicken samples spiked with benzo[a]pyrene were assayed using the sensor, with recoveries ranging from 89.20% to 100.80%. The benzo[a]pyrene content in roasted mutton sample was quantified using the SERS sensor and a reversed-phase high-performance liquid chromatography method, with similar results being obtained.
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Affiliation(s)
- Li Zhang
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, People's Republic of China
| | - Ximo Wang
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, People's Republic of China
| | - Chen Chen
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, People's Republic of China
| | - Ruiqiang Wang
- Shandong Cayon Testing Co., LTD., Jining 272000, People's Republic of China
| | - Xuguang Qiao
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, People's Republic of China
| | | | - Zhixiang Xu
- Key Laboratory of Food Processing Technology and Quality Control in Shandong Province, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, People's Republic of China.
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Luo X, Gouda M, Perumal AB, Huang Z, Lin L, Tang Y, Sanaeifar A, He Y, Li X, Dong C. Using surface-enhanced Raman spectroscopy combined with chemometrics for black tea quality assessment during its fermentation process. SENSORS AND ACTUATORS B: CHEMICAL 2022; 373:132680. [DOI: 10.1016/j.snb.2022.132680] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
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Zhou T, Huang J, Zhao W, Guo R, Cui S, Li Y, Zhang X, Liu Y, Zhang Q. Multifunctional Plasmon-Tunable Au Nanostars and Their Applications in Highly Efficient Photothermal Inactivation and Ultra-Sensitive SERS Detection. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:4232. [PMID: 36500854 PMCID: PMC9738658 DOI: 10.3390/nano12234232] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The development and application in different fields of multifunctional plasmonic nanoparticles (NPs) have always been research hotspots. Herein, multi-tip Au nanostars (NSs) with an anisotropic structure were fabricated for the photothermal therapy (PTT) of bacteria and surface-enhanced Raman scattering (SERS) detection of pollutants. The size and localized surface plasmon resonance (LSPR) characteristics of Au NSs were adjusted by varying Au seed additions. In addition, photothermal conversion performance of Au NSs with various Au seed additions was evaluated. Photothermal conversion efficiency of Au NSs with optimal Au seed additions (50 μL) was as high as 28.75% under 808 nm laser irradiation, and the heat generated was sufficient to kill Staphylococcus aureus (S. aureus). Importantly, Au NSs also exhibited excellent SERS activity for the 4-mercaptobenzoic acid (4-MBA) probe molecule, and the local electromagnetic field distribution of Au NSs was explored through finite-difference time-domain (FDTD) simulation. As verified by experiments, Au NSs' SERS substrate could achieve a highly sensitive detection of a low concentration of potentially toxic pollutants such as methylene blue (MB) and bilirubin (BR). This work demonstrates a promising multifunctional nanoplatform with great potential for efficient photothermal inactivation and ultra-sensitive SERS detection.
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Affiliation(s)
- 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
| | - 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
| | - Rui Guo
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Sicheng Cui
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yuqing Li
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Xiaolong Zhang
- 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
| | - Qi Zhang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
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