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Wu H, Kanike C, Marcati A, Zhang X. Flexible Surface-Enhanced Raman Scattering Tape Based on Ag Nanostructured Substrate for On-Site Analyte Detection. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:4218-4227. [PMID: 38354289 DOI: 10.1021/acs.langmuir.3c03340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
Surface-enhanced Raman scattering (SERS) has emerged as a powerful surface analytical technique that amplifies Raman scattering signals of molecules adsorbed onto metal nanostructured surfaces. The droplet reaction method has recently been employed to fabricate large-scale microring patterns of silver (Ag) nanostructures on rigid substrates, which enables sensitive detection within the ring area. However, these rigid substrates present limitations for direct on-site detection of analyte residues on irregular sample surfaces. There is a need to develop soft and flexible SERS substrates that can intimately conform to arbitrary surfaces. In this study, we presented a SERS substrate using flexible and adhesive tape as the supporting material. This SERS tape was fabricated by repeatedly transferring presynthesized Ag nanostructures from a rigid substrate to the tape. For a model compound adenine, our SERS tape exhibited a good linear response from 5 × 10-4 M to 5 × 10-5 M with a low limit of detection (LOD) of 5 × 10-7 M and displayed a SERS enhancement factor (EF) of 3.2 × 105. The relative standard deviation (RSD) of SERS intensity achieved was as low as 1.93%, indicating its outstanding uniformity. The as-prepared SERS tape was used for in situ detection of pesticide residue on an apple surface and dye residue on human hair. Leveraging the large surface area of Ag nanostructure patterns from the droplet reaction, the developed SERS tape demonstrates excellent performance in terms of sensitivity and uniformity. The successful detection of analyte residues on arbitrary surfaces of apple and human hair highlights the potential of this flexible SERS tape for real-world applications across various industries for enhanced diagnostic accuracy.
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Affiliation(s)
- Hongyan Wu
- Department of Chemical and Materials Engineering, University of Alberta, Alberta T6G 1H9, Canada
| | - Chiranjeevi Kanike
- Department of Chemical and Materials Engineering, University of Alberta, Alberta T6G 1H9, Canada
| | - Alain Marcati
- Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, F-63000, Clermont-Ferrand, France
| | - Xuehua Zhang
- Department of Chemical and Materials Engineering, University of Alberta, Alberta T6G 1H9, Canada
- Physics of Fluids Group, Max Planck Center Twente for Complex Fluid Dynamics, JM Burgers Center for Fluid Dynamics, Mesa+, Department of Science and Technology, University of Twente, Enschede 7522 NB, The Netherlands
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Yang Q, Deng X, Niu B, Lin H, Jing J, Chen Q. Qualitative and semi-quantitative analysis of melamine in liquid milk based on surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 303:123143. [PMID: 37478706 DOI: 10.1016/j.saa.2023.123143] [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: 05/05/2023] [Revised: 06/25/2023] [Accepted: 07/11/2023] [Indexed: 07/23/2023]
Abstract
Melamine is one of the common limited contaminations in dairy products. The traditional detection method has a long period and complicated pretreatment process. The rapid detection method is the better method to solve the screening of limited contaminations. In this paper, taking melamine as the research object, the surface enhanced Raman spectrum of melamine in liquid milk were collected by portable Raman spectrometer, and melamine was qualitatively identified and semi-quantitatively analyzed by Raman characteristic peak and Raman intensity, and a simple and efficient rapid screening method for limited contaminations was developed. The limit of detection is 0.25 mg/kg. The probability of detection is 100% at 2.5 mg/kg, which is the same between the two laboratories, indicating that the semi-quantitative method has good repeatability. The method of melamine proposed in this study can meet the rapid screening requirements of limited contaminations at the maximum residue limit, and has a good application prospect.
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Affiliation(s)
- Qiaoling Yang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; School of Life Sciences, Shanghai University, Shanghai 200444, China.
| | - Xiaojun Deng
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.
| | - Bing Niu
- School of Life Sciences, Shanghai University, Shanghai 200444, China.
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
| | - Jing Jing
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.
| | - Qin Chen
- School of Life Sciences, Shanghai University, Shanghai 200444, China.
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Qiu M, Tang L, Wang J, Xu Q, Zheng S, Weng S. SERS with Flexible β-CD@AuNP/PTFE Substrates for In Situ Detection and Identification of PAH Residues on Fruit and Vegetable Surfaces Combined with Lightweight Network. Foods 2023; 12:3096. [PMID: 37628095 PMCID: PMC10453087 DOI: 10.3390/foods12163096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/12/2023] [Accepted: 08/15/2023] [Indexed: 08/27/2023] Open
Abstract
The detection of polycyclic aromatic hydrocarbons (PAHs) on fruit and vegetable surfaces is important for protecting human health and ensuring food safety. In this study, a method for the in situ detection and identification of PAH residues on fruit and vegetable surfaces was developed using surface-enhanced Raman spectroscopy (SERS) based on a flexible substrate and lightweight deep learning network. The flexible SERS substrate was fabricated by assembling β-cyclodextrin-modified gold nanoparticles (β-CD@AuNPs) on polytetrafluoroethylene (PTFE) film coated with perfluorinated liquid (β-CD@AuNP/PTFE). The concentrations of benzo(a)pyrene (BaP), naphthalene (Nap), and pyrene (Pyr) residues on fruit and vegetable surfaces could be detected at 0.25, 0.5, and 0.25 μg/cm2, respectively, and all the relative standard deviations (RSD) were less than 10%, indicating that the β-CD@AuNP/PTFE exhibited high sensitivity and stability. The lightweight network was then used to construct a classification model for identifying various PAH residues. ShuffleNet obtained the best results with accuracies of 100%, 96.61%, and 97.63% for the training, validation, and prediction datasets, respectively. The proposed method realised the in situ detection and identification of various PAH residues on fruit and vegetables with simplicity, celerity, and sensitivity, demonstrating great potential for the rapid, nondestructive analysis of surface contaminant residues in the food-safety field.
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Affiliation(s)
- Mengqing Qiu
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; (M.Q.); (Q.X.)
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
| | - Le Tang
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China; (L.T.); (J.W.)
| | - Jinghong Wang
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China; (L.T.); (J.W.)
| | - Qingshan Xu
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; (M.Q.); (Q.X.)
| | - Shouguo Zheng
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; (M.Q.); (Q.X.)
- Anhui Institute of Innovation for Industrial Technology, Hefei 230088, China
| | - Shizhuang Weng
- National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601, China; (L.T.); (J.W.)
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Zhang Y, Xu B, Wang Z, Yang R, Zhu L, He W, Zhou G, Li J, Li J, Han Z, Hong Y, Wang S. Surface-enhanced Raman imaging through sprayed probes for the application in chemical visualization of methamphetamine within fingerprints. Anal Bioanal Chem 2023:10.1007/s00216-023-04757-w. [PMID: 37258691 DOI: 10.1007/s00216-023-04757-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 05/01/2023] [Accepted: 05/16/2023] [Indexed: 06/02/2023]
Abstract
For fingerprint-involved forensic investigations, cyanoacrylates and inorganic nanophosphors are mostly used for fingerprint visualization. However, methods to simultaneously report fingerprint images and the corresponding specific chemical information have yet to be realized. In this work, chemical visualization of the analytes in fingerprints is achieved through surface-enhanced Raman spectroscopy (SERS) measurements with the aid of spray-dispersed gold nanorods (AuNRs). The optimal coverage of AuNRs was studied by theoretical simulations and experimental operations. A rapid sampling of fingerprints with the chemical of interest was developed by tuning the spray parameters. In particular, the SERS imaging of methamphetamine in fingerprint latent was attempted by addressing the SERS spectral features of methamphetamine. This chemical visualization method reflects both the graphical and chemical characteristics of fingerprints in a single batch measurement, in which methamphetamine can be detected and mapped at the concentration of 10-5 M. The data processing approach was also modified by employing relevant logical judgments. The improved SERS images with sharpened patterns of fingerprints were obtained by involving the scored multi-peak judgments.
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Affiliation(s)
- Yating Zhang
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China
| | - Buyi Xu
- National Anti-Drug Laboratory Sichuan Regional Center, Chengdu, 610041, People's Republic of China
| | - Zehua Wang
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China
| | - Rongji Yang
- National Anti-Drug Laboratory Sichuan Regional Center, Chengdu, 610041, People's Republic of China
| | - Leixia Zhu
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China
| | - Wei He
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China
| | - Guoyun Zhou
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China
| | - Jiujuan Li
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China
| | - Jianhui Li
- Suining Ruijiexing Technology Co., Ltd., Suining, 629001, People's Republic of China
| | - Zhiwei Han
- Bomin Electronics Co., Ltd., Meizhou, 514000, People's Republic of China
| | - Yan Hong
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China.
| | - Shouxu Wang
- School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China.
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Pesticide Residues and Unauthorized Dyes as Adulteration Markers in Chilli Pepper and Tomato. INTERNATIONAL JOURNAL OF FOOD SCIENCE 2023; 2023:5337150. [PMID: 36684413 PMCID: PMC9859701 DOI: 10.1155/2023/5337150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 12/28/2022] [Accepted: 01/02/2023] [Indexed: 01/15/2023]
Abstract
To assess the contamination of processed chilli pepper and tomatoes, a report over the past four decades since the establishment of the Rapid Alert System for Food and Feed (RASFF) was retrieved and analysed. Out of the 887 notification reports assessed for eligibility, 446 were found regarding chilli pepper and tomato contamination. This study identified India as the country of origin with the highest number of reported cases relating to chilli pepper contamination. Italy and Türkiye were the countries with the highest number of reported cases regarding the exportation of adulterated tomatoes to other countries according to the RASFF report. Unauthorized dyes such as Sudan I, III, IV, orange II, rhodamine B, and para red were reported to have been detected in either chilli pepper or tomato in the supply chain. Almost all unauthorized dyes in this study were found to be more than the range (0.5 to 1 mg/kg) of the detection limit of Sudan dye and other related dyes using analytical methods set by the European Union. Unapproved pesticides by the European Union (EU) found in this study were acetamiprid, chlorothalonil, chlorpyrifos, dimethoate, methomyl, monocrotophos, omethoate, oxamyl, and thiophanate methyl. The present study indicates the persistence of chilli pepper and tomato contamination with harmful dyes and pesticide residues despite the ban on the use of certain chemicals in the food chain.
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