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Logan N, Cao C, Freitag S, Haughey SA, Krska R, Elliott CT. Advancing Mycotoxin Detection in Food and Feed: Novel Insights from Surface-Enhanced Raman Spectroscopy (SERS). ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2309625. [PMID: 38224595 DOI: 10.1002/adma.202309625] [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: 09/18/2023] [Revised: 12/20/2023] [Indexed: 01/17/2024]
Abstract
The implementation of low-cost and rapid technologies for the on-site detection of mycotoxin-contaminated crops is a promising solution to address the growing concerns of the agri-food industry. Recently, there have been significant developments in surface-enhanced Raman spectroscopy (SERS) for the direct detection of mycotoxins in food and feed. This review provides an overview of the most recent advancements in the utilization of SERS through the successful fabrication of novel nanostructured materials. Various bottom-up and top-down approaches have demonstrated their potential in improving sensitivity, while many applications exploit the immobilization of recognition elements and molecular imprinted polymers (MIPs) to enhance specificity and reproducibility in complex matrices. Therefore, the design and fabrication of nanomaterials is of utmost importance and are presented herein. This paper uncovers that limited studies establish detection limits or conduct validation using naturally contaminated samples. One decade on, SERS is still lacking significant progress and there is a disconnect between the technology, the European regulatory limits, and the intended end-user. Ongoing challenges and potential solutions are discussed including nanofabrication, molecular binders, and data analytics. Recommendations to assay design, portability, and substrate stability are made to help improve the potential and feasibility of SERS for future on-site agri-food applications.
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Affiliation(s)
- Natasha Logan
- National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK
| | - Cuong Cao
- National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK
- Material and Advanced Technologies for Healthcare, Queen's University Belfast, 18-30 Malone Road, Belfast, BT9 5BN, UK
| | - Stephan Freitag
- Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Str. 20, Tulln, 3430, Vienna, Austria
- FFoQSI GmbH - Austrian Competence Centre for Feed and Food Quality, Safety and Innovation, Technopark 1C, Tulln, 3430, Austria
| | - Simon A Haughey
- National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK
| | - Rudolf Krska
- National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK
- Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Str. 20, Tulln, 3430, Vienna, Austria
- FFoQSI GmbH - Austrian Competence Centre for Feed and Food Quality, Safety and Innovation, Technopark 1C, Tulln, 3430, Austria
| | - Christopher T Elliott
- National Measurement Laboratory, Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, UK
- School of Food Science and Technology, Faculty of Science and Technology, Thammasat University, 99 Mhu 18, Khong Luang, Pathum Thani, 12120, Thailand
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Guo Z, Wu X, Jayan H, Yin L, Xue S, El-Seedi HR, Zou X. Recent developments and applications of surface enhanced Raman scattering spectroscopy in safety detection of fruits and vegetables. Food Chem 2024; 434:137469. [PMID: 37729780 DOI: 10.1016/j.foodchem.2023.137469] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/01/2023] [Accepted: 09/11/2023] [Indexed: 09/22/2023]
Abstract
This article reviewed the latest research progress of Surface-enhanced Raman Spectroscopy (SERS) in the security detection of fruits and vegetables in recent years, especially in three aspects: pesticide residues, microbial toxin contamination and harmful microorganism infection. The binding mechanism and application potential of SERS detection materials (including universal type and special type) and carrier materials (namely rigid and flexible materials) were discussed. Finally, the application prospect of SERS in fruit and vegetable safety detection was explored, and the problems to be solved and development trends were put forward. The poor stability and reproducibility of SERS substrates make it difficult for practical applications. It is necessary to continuously optimize SERS substrates and develop small and portable Raman spectroscopy analyzers. In the future, SERS technology is expected to play an important role in human health, food safety and economy.
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Affiliation(s)
- Zhiming Guo
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
| | - Xinchen Wu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Heera Jayan
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Limei Yin
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Shanshan Xue
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Hesham R El-Seedi
- Pharmacognosy Group, Department of Pharmaceutical Biosciences, BMC, Uppsala University, Box 591, SE 751 24 Uppsala, Sweden; International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang 212013, China
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang 212013, China
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3
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Yang T, Luo Z, Wang Y, Li L, Xu Y, Lin X. Hydrogel Digital LAMP with Suppressed Nonspecific Amplification for Rapid Diagnostics of Fungal Disease in Fresh Fruits. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:18636-18644. [PMID: 37975529 DOI: 10.1021/acs.jafc.3c06141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Fungal disease, mainly caused by Alternaria alternata infection, can generate severe economic losses and health hazards. However, rapid nucleic acid test without nonspecific reaction still remains challenging. Here, we reported the hydrogel digital loop-mediated isothermal amplification (HdLAMP) with suppressed nonspecific amplification for rapid diagnosis of fungi in fresh fruits. The introduction of hydrogel offered a simple platform to achieve absolute quantification. By breaking the 3'end G-C anchor, the nonspecific amplification of primers could be suppressed, while the specific positive reaction in HdLAMP was not affected. This method could be applied for A. alternata detection in 9 min with excellent performances in speed, specificity, reproducibility, sensitivity, and detection limit down to a single copy. Finally, the real diseased jujubes during postharvest storage were successfully diagnosed as an A. alternata infection. HdLAMP promotes the molecular diagnosis of fungal diseases and broadens the application of hydrogels in the agricultural and food industry.
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Affiliation(s)
- Tao Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Yiru Wang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Li Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Yanqun Xu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
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4
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Gabbitas A, Ahlborn G, Allen K, Pang S. Advancing Mycotoxin Detection: Multivariate Rapid Analysis on Corn Using Surface Enhanced Raman Spectroscopy (SERS). Toxins (Basel) 2023; 15:610. [PMID: 37888641 PMCID: PMC10610586 DOI: 10.3390/toxins15100610] [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: 09/14/2023] [Accepted: 10/08/2023] [Indexed: 10/28/2023] Open
Abstract
Mycotoxin contamination on food and feed can have deleterious effect on human and animal health. Agricultural crops may contain one or more mycotoxin compounds; therefore, a good multiplex detection method is desirable to ensure food safety. In this study, we developed a rapid method using label-free surface-enhanced Raman spectroscopy (SERS) to simultaneously detect three common types of mycotoxins found on corn, namely aflatoxin B1 (AFB1), zearalenone (ZEN), and ochratoxin A (OTA). The intrinsic chemical fingerprint from each mycotoxin was characterized by their unique Raman spectra, enabling clear discrimination between them. The limit of detection (LOD) of AFB1, ZEN, and OTA on corn were 10 ppb (32 nM), 20 ppb (64 nM), and 100 ppb (248 nM), respectively. Multivariate statistical analysis was used to predict concentrations of AFB1, ZEN, and OTA up to 1.5 ppm (4.8 µM) based on the SERS spectra of known concentrations, resulting in a correlation coefficient of 0.74, 0.89, and 0.72, respectively. The sampling time was less than 30 min per sample. The application of label-free SERS and multivariate analysis is a promising method for rapid and simultaneous detection of mycotoxins in corn and may be extended to other types of mycotoxins and crops.
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Affiliation(s)
- Allison Gabbitas
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA; (A.G.); (K.A.)
| | - Gene Ahlborn
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA;
| | - Kaitlyn Allen
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA; (A.G.); (K.A.)
| | - Shintaro Pang
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA;
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5
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Wang K, Yue Z, Fang X, Lin H, Wang L, Cao L, Sui J, Ju L. SERS detection of thiram using polyacrylamide hydrogel-enclosed gold nanoparticle aggregates. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159108. [PMID: 36191707 DOI: 10.1016/j.scitotenv.2022.159108] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
The development of sensitive and long-term signal-stable plasmonic substrates is vital to the in-field application of the surface-enhanced Raman spectroscopy (SERS) technique. The colloidal gold nanoparticles (AuNPs) system is commonly used in SERS detection, but it shows less signal stability and reproducibility due to the uncontrollable aggregation of nanoparticles by adding aggregating agents in SERS detection. In this study, we developed a new SERS detection platform based on polyacrylamide hydrogel-enclosed plasmonic gold nanoparticle aggregates (PAH-AuANs). In the system, the formation of PAH can rapidly stabilize the gold nanoparticle aggregates, avoiding the over-aggregation or precipitation of AuNPs. With the PAH concentration in the range of 6-10 % and AuNPs at the concentration of 0.2 nM, the resulting PAH-AuNAs platform exhibited both sensitive SERS activity and excellent SERS signal stability. The relative standard deviation of the 4-MBA probe SERS signal collected from the PAH-AuNAs platform was lower than 3 %. The limit of detection for the pesticide thiram was down to 0.38 μg/L with a handheld Raman spectrometer. Moreover, the procedure for preparing the PAH-AuNAs platform was easy to handle, offering a new strategy for in-field detection of environmental contaminants with a handheld Raman spectrometer in the future.
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Affiliation(s)
- Kaiqiang Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China; Fujian Provincial Key Laboratory of Breeding Lateolabrax Japonicus, Ningde, Fujian 355299, China.
| | - Zilin Yue
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China
| | - Xiu Fang
- Fujian Provincial Key Laboratory of Breeding Lateolabrax Japonicus, Ningde, Fujian 355299, China
| | - Hong Lin
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China
| | - Lei Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China
| | - Limin Cao
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China
| | - Jianxin Sui
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China
| | - Lei Ju
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China.
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6
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Guo Z, Gao L, Jiang S, El-Seedi HR, El-Garawani IM, Zou X. Sensitive determination of Patulin by aptamer functionalized magnetic surface enhanced Raman spectroscopy (SERS) sensor. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2022.104985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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7
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Li P, Xia X, Chen J, Yu H, Xie Y, Guo Y, Yao W, Qian H, Cheng Y. Morphology-regulated core–shell Ag@Au NPs for rapid SERS detection of 1-amino-hydantoin (AHD) in crayfish. FOOD AGR IMMUNOL 2022. [DOI: 10.1080/09540105.2022.2144145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Peizhen Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - Xiuhua Xia
- Tourism and Culinary College, Wuxi Vocational Institute of Commerce, Wuxi, People’s Republic of China
| | - Jiannan Chen
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - Hang Yu
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - Yunfei Xie
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - Yahui Guo
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - Weirong Yao
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - He Qian
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
| | - Yuliang Cheng
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, People’s Republic of China
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8
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Yang Y, Ren MY, Xu XG, Han Y, Zhao X, Li CH, Zhao ZL. Recent advances in simultaneous detection strategies for multi-mycotoxins in foods. Crit Rev Food Sci Nutr 2022; 64:3932-3960. [PMID: 36330603 DOI: 10.1080/10408398.2022.2137775] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Mycotoxin contamination has become a challenge in the field of food safety testing, given the increasing emphasis on food safety in recent years. Mycotoxins are widely distributed, in heavily polluted areas. Food contamination with these toxins is difficult to prevent and control. Mycotoxins, as are small-molecule toxic metabolites produced by several species belonging to the genera Aspergillus, Fusarium, and Penicillium growing in food. They are considered teratogenic, carcinogenic, and mutagenic to humans and animals. Food systems are often simultaneously contaminated with multiple mycotoxins. Due to the additive or synergistic toxicological effects caused by the co-existence of multiple mycotoxins, their individual detection requires reliable, accurate, and high-throughput techniques. Currently available, methods for the detection of multiple mycotoxins are mainly based on chromatography, spectroscopy (colorimetry, fluorescence, and surface-enhanced Raman scattering), and electrochemistry. This review provides a comprehensive overview of advances in the multiple detection methods of mycotoxins during the recent 5 years. The principles and features of these techniques are described. The practical applications and challenges associated with assays for multiple detection methods of mycotoxins are summarized. The potential for future development and application is discussed in an effort, to provide standards of references for further research.
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Affiliation(s)
- Ying Yang
- School of Quality and Technical Supervision, Hebei University, Baoding, China
- National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China
- Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding, China
| | - Meng-Yu Ren
- School of Quality and Technical Supervision, Hebei University, Baoding, China
- National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China
- Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding, China
| | - Xiao-Guang Xu
- School of Traditional Chinese Medicine, Hebei University, Baoding, China
| | - Yue Han
- School of Quality and Technical Supervision, Hebei University, Baoding, China
- National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China
- Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding, China
| | - Xin Zhao
- School of Quality and Technical Supervision, Hebei University, Baoding, China
- National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China
- Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding, China
| | - Chun-Hua Li
- School of Quality and Technical Supervision, Hebei University, Baoding, China
- National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China
- Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding, China
| | - Zhi-Lei Zhao
- School of Quality and Technical Supervision, Hebei University, Baoding, China
- National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding, China
- Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding, China
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9
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Solubility enhancement of indigo dye through biochemical reduction and structural modification. KOREAN J CHEM ENG 2022. [DOI: 10.1007/s11814-022-1165-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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10
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Lin X, Yu W, Tong X, Li C, Duan N, Wang Z, Wu S. Application of Nanomaterials for Coping with Mycotoxin Contamination in Food Safety: From Detection to Control. Crit Rev Anal Chem 2022; 54:355-388. [PMID: 35584031 DOI: 10.1080/10408347.2022.2076063] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Mycotoxins, which are toxic secondary metabolites produced by fungi, are harmful to humans. Mycotoxin-induced contamination has drawn attention worldwide. Consequently, the development of reliable and sensitive detection methods and high-efficiency control strategies for mycotoxins is important to safeguard food industry safety and public health. With the rapid development of nanotechnology, many novel nanomaterials that provide tremendous opportunities for greatly improving the detection and control performance of mycotoxins because of their unique properties have emerged. This review comprehensively summarizes recent trends in the application of nanomaterials for detecting mycotoxins (fluorescence, colorimetric, surface-enhanced Raman scattering, electrochemical, and point-of-care testing) and controlling mycotoxins (inhibition of fungal growth, mycotoxin absorption, and degradation). These detection methods possess the advantages of high sensitivity and selectivity, operational simplicity, and rapidity. With research attention on the control of mycotoxins and the gradual excavation of the properties of nanomaterials, nanomaterials are also employed for the inhibition of fungal growth, mycotoxin absorption, and mycotoxin degradation, and impressive controlling effects are obtained. This review is expected to provide the readers insight into this state-of-the-art area and a reference to design nanomaterials-based schemes for the detection and control of mycotoxins.
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Affiliation(s)
- Xianfeng Lin
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Wenyan Yu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Xinyu Tong
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Changxin Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Nuo Duan
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Zhouping Wang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Shijia Wu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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11
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Nan M, Xue H, Bi Y. Contamination, Detection and Control of Mycotoxins in Fruits and Vegetables. Toxins (Basel) 2022; 14:309. [PMID: 35622556 PMCID: PMC9143439 DOI: 10.3390/toxins14050309] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/18/2022] [Accepted: 04/24/2022] [Indexed: 01/09/2023] Open
Abstract
Mycotoxins are secondary metabolites produced by pathogenic fungi that colonize fruits and vegetables either during harvesting or during storage. Mycotoxin contamination in fruits and vegetables has been a major problem worldwide, which poses a serious threat to human and animal health through the food chain. This review systematically describes the major mycotoxigenic fungi and the produced mycotoxins in fruits and vegetables, analyzes recent mycotoxin detection technologies including chromatography coupled with detector (i.e., mass, ultraviolet, fluorescence, etc.) technology, electrochemical biosensors technology and immunological techniques, as well as summarizes the degradation and detoxification technologies of mycotoxins in fruits and vegetables, including physical, chemical and biological methods. The future prospect is also proposed to provide an overview and suggestions for future mycotoxin research directions.
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Affiliation(s)
- Mina Nan
- College of Science, Gansu Agricultural University, Lanzhou 730070, China;
- Basic Experiment Teaching Center, Gansu Agricultural University, Lanzhou 730070, China
| | - Huali Xue
- College of Science, Gansu Agricultural University, Lanzhou 730070, China;
| | - Yang Bi
- College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China
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12
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Hussain M, Liu X, Zou J, Yang J, Ali Z, Rehman HU, He N, Dai J, Tang Y. On-chip classification of micro-particles using laser light scattering and machine learning. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2021.09.044] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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13
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Screening of multi-mycotoxins in fruits by ultra-performance liquid chromatography coupled to ion mobility quadrupole time-of-flight mass spectrometry. Food Chem 2022; 368:130858. [PMID: 34425334 DOI: 10.1016/j.foodchem.2021.130858] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 08/09/2021] [Accepted: 08/10/2021] [Indexed: 12/22/2022]
Abstract
A modified quick, easy, cheap, effective, rugged, and safe extraction procedure combined with ultra-performance liquid chromatographic separation and ion mobility quadrupole time-of-flight mass spectrometry was developed to determine the presence of 20 mycotoxins (i.e., Alternaria toxins, ochratoxin, patulin, aflatoxin and trichothecenes) in fruit samples from Xinjiang. A complete platform, including screening via an in-house library, confirmation and quantification using reference standards, was established, which provided accurate MS data and complete spectra containing the fragment ions for each analyte. To evaluate the performance of the developed method, satisfactory validation parameters, such as linearity (R2 ≥ 0.9992), precision (RSDs ≤ 9.8%), recovery (81.2-99.2%), LOD (0.06-2.22 µg kg-1), and LOQ (0.2-7.39 µg kg-1), were obtained. The analysis of 130 fruit samples revealed nonnegligible contamination with mycotoxins; specifically, the highest levels of three Alternaria toxins were detected in jujube, wolfberries and raisins.
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Wang K, Li J. Reliable SERS detection of pesticides with a large-scale self-assembled Au@4-MBA@Ag nanoparticle array. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 263:120218. [PMID: 34332241 DOI: 10.1016/j.saa.2021.120218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/16/2021] [Accepted: 07/18/2021] [Indexed: 06/13/2023]
Abstract
The fabrication of sensitive and reliable interfacial plasmonic platform for measuring chemical contaminants in various phases is an exciting topic in the food industry and for environment monitoring. In this study, a high-performance surface-enhanced Raman spectroscopy (SERS) analytic platform was developed through self-assembly of the gold@4-mercaptobenzoic acid@silver nanoparticles (Au@4-MBA@Ag NPs) at the cyclohexane/water interface. By addition of the inducer ethanol, the Au@4-MBA@Ag NPs in aqueous phase was effectively migrated to the biphasic interface, forming a large-scale close-packed nanoparticle array. The average gap between adjacent nanoparticles was smaller than 3 nm, where intensive SERS "hot spots" were created for high-sensitive detection. Furthermore, using the sandwiched 4-MBA molecule as the internal standard to correct the Raman signal fluctuations, the point-to-point and batch-to-batch reproducibility of Au@4-MBA@Ag array were improved with lower relative standard deviation (RSD) values of 8.84% and 14.97%, respectively, and pesticides (thiram and thiabendazole) analysis in both aqueous and organic phases were achieved with higher accuracy (R2 of 0.986 and 0.990) as compared with those without 4-MBA correction (R2 of 0.867 and 0.974). The high-throughput fabrication of the self-assembled nanoparticle array is a promising approach for development of a sensitive and reliable SERS platform for chemical contaminants monitoring in multiphase.
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Affiliation(s)
- Kaiqiang Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China.
| | - Jinjie Li
- Institute of Quartermaster Engineering and Technology, Academy of Military Sciences PLA China, Beijing 100010, China
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Guo Z, Chen P, Wang M, Zuo M, El-Seedi HR, Chen Q, Shi J, Zou X. Rapid enrichment detection of patulin and alternariol in apple using surface enhanced Raman spectroscopy with coffee-ring effect. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.112333] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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16
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Fu X, Sun J, Liang R, Guo H, Wang L, Sun X. Application progress of microfluidics-integrated biosensing platforms in the detection of foodborne pathogens. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.07.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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17
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Pan TT, Guo MT, Guo W, Lu P, Hu DY. A Sensitive SERS Method for Determination of Pymetrozine in Apple and Cabbage Based on an Easily Prepared Substrate. Foods 2021; 10:1874. [PMID: 34441651 PMCID: PMC8392414 DOI: 10.3390/foods10081874] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/04/2021] [Accepted: 08/09/2021] [Indexed: 11/03/2022] Open
Abstract
Residual pesticides are one of the major food safety concerns around the world. There is a demand for simple and reliable methods to monitor pesticide residues in foods. In this study, a sensitive method for determination of pymetrozine in apple and cabbage samples using surface-enhanced Raman spectroscopy (SERS) based on decanethiol functionalized silver nanoparticles was established. The proposed method performed satisfactorily with the linear detection range of 0.01-1.00 mg/L and limit of detection (LOD) of 0.01 mg/L in methanol. In addition, it was successfully used to detect pymetrozine in apple and cabbage samples, the LOD was 0.02 and 0.03 mg/L, respectively, and the recoveries of spiked cabbage and apple ranged 70.40-104.00%, with relative standard deviations below 12.18% and 10.33% for intra-day and inter-day tests. Moreover, the results of the correlation test with real cabbage samples of liquid chromatography-tandem mass spectrometry showed that they were highly correlated (slope = 0.9895, R2 = 0.9953). This study provides a sensitive approach for detection of pymetrozine in apple and cabbage, which has great potential for determination of pymetrozine residues in food products.
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Affiliation(s)
- Ting-Tiao Pan
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China; (T.-T.P.); (M.-T.G.); (W.G.); (P.L.)
- College of Biological Sciences and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China
| | - Mei-Ting Guo
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China; (T.-T.P.); (M.-T.G.); (W.G.); (P.L.)
| | - Wang Guo
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China; (T.-T.P.); (M.-T.G.); (W.G.); (P.L.)
| | - Ping Lu
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China; (T.-T.P.); (M.-T.G.); (W.G.); (P.L.)
| | - De-Yu Hu
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China; (T.-T.P.); (M.-T.G.); (W.G.); (P.L.)
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18
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Jin M, Shan J, Wang X, Ren T, Li X. Determination of Florfenicol in Antibiotic Mixtures by Solid-Phase Extraction (SPE) and Surface-Enhanced Raman Scattering (SERS). ANAL LETT 2021. [DOI: 10.1080/00032719.2021.1946075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Mengke Jin
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, China
| | - Jiajia Shan
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, China
| | - Xue Wang
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, China
| | - Tao Ren
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, China
| | - Xinjing Li
- School of Ocean Science and Technology, Dalian University of Technology, Panjin, China
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Pan TT, Guo W, Lu P, Hu D. In situ and rapid determination of acetamiprid residue on cabbage leaf using surface-enhanced Raman scattering. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021; 101:3595-3604. [PMID: 33275280 DOI: 10.1002/jsfa.10988] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 11/12/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Pesticide residues in agricultural products and foods pose a serious threat to human health, and therefore a simple, rapid and direct method is urgently needed for pesticide residue detection. In addition to realizing the detection of acetamiprid in cabbage extract solution, the main target of this study was to establish an in situ surface-enhanced Raman scattering (SERS) method, which could directly detect acetamiprid residue on cabbage leaf without the need for extraction. Acetamiprid was first used to contaminate the surface of fresh cabbage leaf, and then bimetallic silver-coated gold nanoparticles (Au@AgNPs) were added on the contaminated spots and dried for SERS measurement. RESULTS Results suggested that acetamiprid can be detected in cabbage extract and on cabbage leaf surface in situ using the SERS method based on the Au@AgNPs substrate. The limit of detection was 0.08 μg mL-1 in cabbage extract and 0.14 mg kg-1 on cabbage leaf, the recovery ranged from 80.5% to 105.5% and the relative standard deviation was in the range 4.37-10.63%. CONCLUSIONS The proposed SERS method provides an in situ, nondestructive and rapid way to detect acetamiprid residue on the surface of fruits and vegetables, which could serve as an auxiliary approach for early screening of contaminated produce in field or on site in the future. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Ting-Tiao Pan
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, China
- College of Biological Sciences and Agriculture, Qiannan Normal University for Nationalities, Duyun, China
| | - Wang Guo
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, China
| | - Ping Lu
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, China
| | - Deyu Hu
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, China
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20
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Buja I, Sabella E, Monteduro AG, Chiriacò MS, De Bellis L, Luvisi A, Maruccio G. Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics. SENSORS 2021; 21:s21062129. [PMID: 33803614 PMCID: PMC8003093 DOI: 10.3390/s21062129] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/12/2021] [Accepted: 03/14/2021] [Indexed: 12/20/2022]
Abstract
Human activities significantly contribute to worldwide spread of phytopathological adversities. Pathogen-related food losses are today responsible for a reduction in quantity and quality of yield and decrease value and financial returns. As a result, “early detection” in combination with “fast, accurate, and cheap” diagnostics have also become the new mantra in plant pathology, especially for emerging diseases or challenging pathogens that spread thanks to asymptomatic individuals with subtle initial symptoms but are then difficult to face. Furthermore, in a globalized market sensitive to epidemics, innovative tools suitable for field-use represent the new frontier with respect to diagnostic laboratories, ensuring that the instruments and techniques used are suitable for the operational contexts. In this framework, portable systems and interconnection with Internet of Things (IoT) play a pivotal role. Here we review innovative diagnostic methods based on nanotechnologies and new perspectives concerning information and communication technology (ICT) in agriculture, resulting in an improvement in agricultural and rural development and in the ability to revolutionize the concept of “preventive actions”, making the difference in fighting against phytopathogens, all over the world.
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Affiliation(s)
- Ilaria Buja
- Omnics Research Group, Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Via per Monteroni, 73100 Lecce, Italy; (I.B.); (A.G.M.); (G.M.)
- Institute of Nanotechnology, CNR NANOTEC, Via per Monteroni, 73100 Lecce, Italy;
| | - Erika Sabella
- Department of Biological and Environmental Sciences and Technologies, University of Salento, via Monteroni, 73100 Lecce, Italy; (E.S.); (L.D.B.)
| | - Anna Grazia Monteduro
- Omnics Research Group, Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Via per Monteroni, 73100 Lecce, Italy; (I.B.); (A.G.M.); (G.M.)
- Institute of Nanotechnology, CNR NANOTEC, Via per Monteroni, 73100 Lecce, Italy;
| | | | - Luigi De Bellis
- Department of Biological and Environmental Sciences and Technologies, University of Salento, via Monteroni, 73100 Lecce, Italy; (E.S.); (L.D.B.)
| | - Andrea Luvisi
- Department of Biological and Environmental Sciences and Technologies, University of Salento, via Monteroni, 73100 Lecce, Italy; (E.S.); (L.D.B.)
- Correspondence:
| | - Giuseppe Maruccio
- Omnics Research Group, Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Via per Monteroni, 73100 Lecce, Italy; (I.B.); (A.G.M.); (G.M.)
- Institute of Nanotechnology, CNR NANOTEC, Via per Monteroni, 73100 Lecce, Italy;
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Perumal J, Wang Y, Attia ABE, Dinish US, Olivo M. Towards a point-of-care SERS sensor for biomedical and agri-food analysis applications: a review of recent advancements. NANOSCALE 2021; 13:553-580. [PMID: 33404579 DOI: 10.1039/d0nr06832b] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The growing demand for reliable and robust methodology in bio-chemical sensing calls for the continuous advancement of sensor technologies. Over the last two decades, surface-enhanced Raman spectroscopy (SERS) has emerged as one of the most promising analytical techniques for sensitive and trace analysis or detection in biomedical and agri-food applications. SERS overcomes the inherent sensitivity limitation associated with Raman spectroscopy, which provides vibrational "fingerprint" spectra of molecules that makes it unique and versatile among other spectroscopy techniques. This paper comprehensively reviews the recent advancements of SERS for biomedical, food and agricultural applications over the last 6 years, and we envision that, in the near future, some of these platforms have the potential to be translated as a point-of-care and rapid sensor for real-life end-user applications. The merits and limitations of various SERS sensor designs are analysed and discussed based on critical features such as sensitivity, specificity, usability, repeatability and reproducibility. We conclude by highlighting the opportunities and challenges in the field while stressing the technological gaps to be addressed in realizing commercially viable point-of-care SERS sensors for practical biomedical and agri-food technological applications.
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Affiliation(s)
- Jayakumar Perumal
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - Yusong Wang
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - Amalina Binte Ebrahim Attia
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - U S Dinish
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
| | - Malini Olivo
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (A*STAR), Singapore.
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Martinez L, He L. Detection of Mycotoxins in Food Using Surface-Enhanced Raman Spectroscopy: A Review. ACS APPLIED BIO MATERIALS 2021; 4:295-310. [PMID: 35014285 DOI: 10.1021/acsabm.0c01349] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Mycotoxins are toxic metabolites produced by fungi that contaminate many important crops worldwide. Humans are commonly exposed to mycotoxins through the consumption of contaminated food products. Mycotoxin contamination is unpredictable and unavoidable; it occurs at any point in the food production system under favorable conditions, and they cannot be destroyed by common heat treatments, because of their high thermal stability. Early and fast detection plays an essential role in this unique challenge to monitor the presence of these compounds in the food chain. Surface-enhanced Raman spectroscopy (SERS) is an advanced spectroscopic technique that integrates Raman spectroscopic molecular fingerprinting and enhanced sensitivity based on nanotechnology to meet the requirement of sensitivity and selectivity, but that can also be performed in a cost-effective and straightforward manner. This Review focuses on the SERS methodologies applied to date for qualitative and quantitative analysis of mycotoxins based on a variety of SERS substrates, as well as our perspectives on current limitations and future trends for applying this technique to mycotoxin analyses.
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Affiliation(s)
- Lourdes Martinez
- Department of Food Science, University of Massachusetts, Amherst, Massachusetts United States
| | - Lili He
- Department of Food Science, University of Massachusetts, Amherst, Massachusetts United States
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Zhai W, You T, Ouyang X, Wang M. Recent progress in mycotoxins detection based on surface-enhanced Raman spectroscopy. Compr Rev Food Sci Food Saf 2021; 20:1887-1909. [PMID: 33410224 DOI: 10.1111/1541-4337.12686] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/03/2020] [Accepted: 11/09/2020] [Indexed: 12/20/2022]
Abstract
Mycotoxins are toxic compounds naturally produced by certain types of fungi. The contamination of mycotoxins can occur on numerous foodstuffs, including cereals, nuts, fruits, and spices, and pose a major threat to humans and animals by causing acute and chronic toxic effects. In this regard, reliable techniques for accurate and sensitive detection of mycotoxins in agricultural products and food samples are urgently needed. As an advanced analytical tool, surface-enhanced Raman spectroscopy (SERS), presents several major advantages, such as ultrahigh sensitivity, rapid detection, fingerprint-type information, and miniaturized equipment. Benefiting from these merits, rapid growth has been observed under the topic of SERS-based mycotoxin detection. This review provides a comprehensive overview of the recent achievements in this area. The progress of SERS-based label-free detection, aptasensor, and immunosensor, as well as SERS combined with other techniques, has been summarized, and in-depth discussion of the remaining challenges has been provided, in order to inspire future development of translating the techniques invented in scientific laboratories into easy-to-operate analytic platforms for rapid detection of mycotoxins.
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Affiliation(s)
- Wenlei Zhai
- Beijing Research Center for Agricultural Standards and Testing, Haidian District, Beijing, P. R. China
| | - Tianyan You
- Key Laboratory of Modern Agriculture Equipment and Technology, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, P. R. China
| | - Xihui Ouyang
- Laboratory of Quality and Safety Risk Assessment for Agro-products on Environmental Factors (Beijing), Ministry of Agriculture and Rural Affairs/Beijing Municipal Station of Agro-Environmental Monitoring, Beijing, P. R. China
| | - Meng Wang
- Beijing Research Center for Agricultural Standards and Testing, Haidian District, Beijing, P. R. China
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Zhang W, Liu Z, Qin H, Li H, DU H, Fang L, Wang C, Zhang S, Chen Z. Surface-enhanced Raman Spectroscopy Coupled with Dispersive Solid-phase Extraction for the Rapid Detection of Tricyclazole Residues in Rice and Brassica campestris L. ssp. chinensis var. utilis Tsen. ANAL SCI 2020; 36:1439-1445. [PMID: 32684530 DOI: 10.2116/analsci.20p166] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
An efficient methodology has been developed to determine the tricyclazole residue in matrix based on surface-enhanced Raman scattering (SERS) coupled with dispersible matrix solid-phase extraction. After pretreatment and test conditions optimization, peaks at 1373 and 1317 cm-1 in the SERS spectrum were respectively selected as quantitative peaks for rice and Brassica campestris L. ssp. chinensis var. utilis Tsen, respectively. The matrix standard curve-external standard method was used to quantitatively conduct a statistical analysis. The correlation between the quantitative peak response and tricyclazole concentration showed a significant linear relationship with a correlation coefficient of R2 > 0.99. The lowest spiked concentration was determined to be the quantitative limit that was below the maximum residue limits of tricyclazole. This study provides a sensitive, stable and rapid approach for the analysis of tricyclazole in above matrix via SERS, and it will be a useful complement to the quantitative analysis of tricyclazole in a complex matrix.
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Affiliation(s)
- Wenjun Zhang
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Zhen Liu
- Institute for Advanced Interdisciplinary Research (IAIR), School of Materials Science and Engineering, University of Jinan
| | - Hongwei Qin
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Huidong Li
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Hongxia DU
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Liping Fang
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Chenchen Wang
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Shuqiu Zhang
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
| | - Zilei Chen
- Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences
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25
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Xing KY, Shan S, Liu DF, Lai WH. Recent advances of lateral flow immunoassay for mycotoxins detection. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116087] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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26
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Li D, Zhu Z, Sun DW. Visualization of the in situ distribution of contents and hydrogen bonding states of cellular level water in apple tissues by confocal Raman microscopy. Analyst 2020; 145:897-907. [PMID: 31820748 DOI: 10.1039/c9an01743g] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Raman spectroscopy has been employed for studying the hydrogen bonding states of water molecules for decades, however, Raman imaging data contain thousands of spectra, making it challenging to obtain information on water with different hydrogen bonds. In the current study, a novel method combining confocal Raman microscopy (CRM) imaging with the iterative curve fitting algorithms was developed to determine the distribution of water contents at the cellular level and water states with different hydrogen bonds in apple tissues. Raman imaging data ranging from 2700 to 3800 cm-1 were acquired from whole cells in the apple tissue, which were then decomposed into seven sub-peaks using the fixed-position Gaussian iterative curve fitting (FPGICF) algorithm. The content and hydrogen bonding states of cellular water were calculated as the area sum of the OH stretching vibration and the area ratio of DA-OH over DDAA-OH stretching vibration or the number of hydrogen bonds of each water molecule, respectively. Finally, the area of each sub-peak, the area sum of the OH stretching vibration, and the area ratio of DA-OH over DDAA-OH stretching vibration were used to visualize the distribution of each sub-peak, water contents and water states with different hydrogen bonds, respectively. In addition, it was found that the number of hydrogen bonds of each water molecule could also be considered as a criterion to describe the hydrogen bond states of water in apple tissues. The availability of such information should provide new insights for future study of cellular water in other food materials.
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Affiliation(s)
- Dongmei Li
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China.
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A dynamically optical and highly stable pNIPAM @ Au NRs nanohybrid substrate for sensitive SERS detection of malachite green in fish fillet. Talanta 2020; 218:121188. [DOI: 10.1016/j.talanta.2020.121188] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/10/2020] [Accepted: 05/14/2020] [Indexed: 12/23/2022]
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28
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Li L, Chin WS. Rapid Fabrication of a Flexible and Transparent Ag Nanocubes@PDMS Film as a SERS Substrate with High Performance. ACS APPLIED MATERIALS & INTERFACES 2020; 12:37538-37548. [PMID: 32701289 DOI: 10.1021/acsami.0c07178] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Flexible and transparent surface-enhanced Raman scattering (SERS) substrates have long been sought-after for nondestructive detection of analytes on nonplanar surfaces, but there is still a lack of one convenient and robust way to fabricate such SERS substrates rapidly. Herein, we demonstrate the fabrication of a high-performance SERS substrate consisting of plasmonic Ag nanocube (Ag NC) arrays anchored onto a flexible transparent poly(dimethylsiloxane) (PDMS) membrane. Through a simple organic/water interfacial self-assembly method, arrays of presynthesized Ag NCs are obtained and directly retrieved onto the PDMS membrane without the aid of rigid substrates (e.g., Si wafers or glass slides). The plasmonic Ag NC arrays can produce strong electromagnetic enhancement, achieving high SERS enhancement factor (∼3.43 × 106) and ideal detection capability for methylene blue (MB) and Rhodamine 6G (R6G) at respective trace amounts of 10-10 and 10-9 M. Moreover, without the need to transfer from substrate to substrate, the regular Ag NC arrays are kept intact, thereby yielding a good reproducibility (RSD ∼12%). We demonstrate further that our as-fabricated SERS substrate displays ideal selectivity toward different kinds of analyte molecules (R6G, crystal violet (CV), and MB) based on principal component analysis. The PDMS membrane owns excellent transparency and flexibility; thus, the substrate enables the conformal contact with nonplanar surfaces and allows the penetration of a laser to reach the analytes from the reverse side of the substrate. This thus facilitates in situ SERS detection of trace residual crystal violet on fish skin, with limit of detection (LOD) reaching 0.6 ppm. This fabrication method reported here is economical and easily implemented. The robust Ag NCs@PDMS could be readily prepared and stored to meet diverse SERS sensing applications, especially for in situ detection of analytes on irregular nonplanar surfaces.
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Affiliation(s)
- Limin Li
- Department of Chemistry, Faculty of Science, National University of Singapore, 3 Science Drive 3, 117543, Singapore
| | - Wee Shong Chin
- Department of Chemistry, Faculty of Science, National University of Singapore, 3 Science Drive 3, 117543, Singapore
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29
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Tian Y, Sun J, Zhou X, Wu X, Lu B, Dai C. Research on apple origin classification based on variable iterative space shrinkage approach with stepwise regression
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support vector machine algorithm and visible‐near infrared hyperspectral imaging. J FOOD PROCESS ENG 2020. [DOI: 10.1111/jfpe.13432] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Yan Tian
- School of Electrical and Information Engineering, Jiangsu University Zhenjiang China
- School of Electronic Information, Jiangsu University of Science and Technology Zhenjiang China
| | - Jun Sun
- School of Electrical and Information Engineering, Jiangsu University Zhenjiang China
| | - Xin Zhou
- School of Electrical and Information Engineering, Jiangsu University Zhenjiang China
| | - Xiaohong Wu
- School of Electrical and Information Engineering, Jiangsu University Zhenjiang China
| | - Bing Lu
- School of Electrical and Information Engineering, Jiangsu University Zhenjiang China
| | - Chunxia Dai
- School of Electrical and Information Engineering, Jiangsu University Zhenjiang China
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30
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A rapid and convenient screening method for detection of restricted monensin, decoquinate, and lasalocid in animal feed by applying SERS and chemometrics. Food Chem Toxicol 2020; 144:111633. [PMID: 32738374 DOI: 10.1016/j.fct.2020.111633] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/03/2020] [Accepted: 07/17/2020] [Indexed: 01/16/2023]
Abstract
The surface-enhanced activities of size- and shape-controlled gold nanoparticles (AuNPs) with superior chemical stability were investigated to explore a possible development of a simple and non-destructive spectroscopic method to help the regulatory agency's analytical services for rapid detection and characterization of selected antimicrobials in animal feeds. Feed samples spiked at different concentration ranges of antimicrobials were evaluated using AuNPs as a surface-enhanced Raman spectroscopy (SERS) agent. The collected SERS spectra were mathematically preprocessed for further analysis. The classification models obtained 100% predictive accuracy with zero or little misclassification. The first two canonical variables (p = 0.001) could explain >95% of the variability in preprocessed spectral data. Most chemometric models for predicting MON, DEC, and LAS concentrations showed a high predictive accuracy (r2 > 0.90), lower predictive error (<20 mg/kg), and satisfactory regression quality (slope close to 1.0). The statistical results showed no statistically significant difference between the reference and SERS predicted values (p > 0.05). The findings and implications from the study indicate that SERS would be a powerful and efficient technique possessing a great potential serving as an excellent monitoring and screening tool for antimicrobial contaminated samples in the on-site analysis.
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Hussain A, Sun DW, Pu H. Bimetallic core shelled nanoparticles (Au@AgNPs) for rapid detection of thiram and dicyandiamide contaminants in liquid milk using SERS. Food Chem 2020; 317:126429. [DOI: 10.1016/j.foodchem.2020.126429] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 07/30/2019] [Accepted: 02/17/2020] [Indexed: 01/03/2023]
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Narváez A, Rodríguez-Carrasco Y, Izzo L, Castaldo L, Ritieni A. Target Quantification and Semi-Target Screening of Undesirable Substances in Pear Juices Using Ultra-High-Performance Liquid Chromatography-Quadrupole Orbitrap Mass Spectrometry. Foods 2020; 9:E841. [PMID: 32605196 PMCID: PMC7404460 DOI: 10.3390/foods9070841] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 01/16/2023] Open
Abstract
Fruit juices are common products in modern diets due to the supply of vegetal nutrients combined with its tastiness. Nevertheless, potential contaminants, such as mycotoxins and pesticides, can be present in commercial products due to a potential carry-over. Therefore, the aim of this study was to investigate for the first time the presence of 14 Fusarium mycotoxins using a quick, easy, cheap, effective, rugged, and safe (QuEChERS)-based extraction followed by an ultra-high-performance liquid chromatography-quadrupole Orbitrap high-resolution mass spectrometry in 21 pear juice samples from Italian markets. Up to nine different mycotoxins were detected, particularly an extensive presence of zearalenone (67%, n = 21, mean value = 0.88 ng/mL). Emerging Fusarium mycotoxins enniatins B, B1, A, and A1 were also detected. Additionally, 77 pesticide residues were tentatively identified through a retrospective analysis based on a mass spectral library. The prevalent presence of some non-approved pesticides, such as ethoxyquin (64%, n = 21) and triazophos (55%, n = 21), must be highlighted. The results obtained indicate an extensive contamination of marketed pear juice with undesirable compounds, and they should be taken into consideration when performing risk assessment studies.
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Affiliation(s)
- Alfonso Narváez
- Department of Pharmacy, University of Naples “Federico II”, Via Domenico Montesano 49, 80131 Napoli, Italy; (A.N.); (L.I.); (L.C.); (A.R.)
| | - Yelko Rodríguez-Carrasco
- Laboratory of Food Chemistry and Toxicology, Faculty of Pharmacy, University of Valencia, Av. Vicent Andrés Estellés s/n, Burjassot, 46100 València, Spain
| | - Luana Izzo
- Department of Pharmacy, University of Naples “Federico II”, Via Domenico Montesano 49, 80131 Napoli, Italy; (A.N.); (L.I.); (L.C.); (A.R.)
| | - Luigi Castaldo
- Department of Pharmacy, University of Naples “Federico II”, Via Domenico Montesano 49, 80131 Napoli, Italy; (A.N.); (L.I.); (L.C.); (A.R.)
| | - Alberto Ritieni
- Department of Pharmacy, University of Naples “Federico II”, Via Domenico Montesano 49, 80131 Napoli, Italy; (A.N.); (L.I.); (L.C.); (A.R.)
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Hahm E, Kim YH, Pham XH, Jun BH. Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles. SENSORS (BASEL, SWITZERLAND) 2020; 20:E3523. [PMID: 32580325 PMCID: PMC7349361 DOI: 10.3390/s20123523] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/12/2020] [Accepted: 06/19/2020] [Indexed: 11/18/2022]
Abstract
Alternariol (AOH) is a mycotoxin from fungi that has been found in processed foods due to its high thermal stability. To address the complexity and costs of conventional AOH detection methods, we propose an alternative based on surface-enhanced Raman scattering (SERS) and specially designed nanoparticle substrate. Herein, silver-embedded silica (SiO2@Ag) nanoparticles with a highly reproducible SERS signal were successfully developed for detecting AOH. Silica nanoparticles (~145 nm) were used as a template to deposit silver nanoparticles (~17 nm), thereby generating SiO2@Ag. The SiO2@Ag nanoparticles showed a good linearity between SERS signal intensity and AOH concentrations from 16 to 1000 nM with a limit of detection of 4.83 nM. Additionally, the SERS signal of the SiO2@Ag nanoparticles was highly reproducible, with relative standard deviations of 2.33-5.95% in the AOH concentration range from 10 to 10,000 nM, demonstrating the reliability of the proposed SERS method.
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Affiliation(s)
| | | | | | - Bong-Hyun Jun
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Korea; (E.H.); (Y.-H.K.); (X.-H.P.)
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Two-dimensional Au@Ag nanodot array for sensing dual-fungicides in fruit juices with surface-enhanced Raman spectroscopy technique. Food Chem 2020; 310:125923. [DOI: 10.1016/j.foodchem.2019.125923] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 10/15/2019] [Accepted: 11/17/2019] [Indexed: 11/22/2022]
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35
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Hussain A, Pu H, Sun DW. Cysteamine modified core-shell nanoparticles for rapid assessment of oxamyl and thiacloprid pesticides in milk using SERS. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2020. [DOI: 10.1007/s11694-020-00448-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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36
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Hussain A, Pu H, Sun DW. SERS detection of sodium thiocyanate and benzoic acid preservatives in liquid milk using cysteamine functionalized core-shelled nanoparticles. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 229:117994. [PMID: 31951941 DOI: 10.1016/j.saa.2019.117994] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 12/25/2019] [Accepted: 12/25/2019] [Indexed: 05/04/2023]
Abstract
A cysteamine functionalized core shelled nanoparticles (Au@Ag-CysNPs) was presented for simultaneous and rapid detection of sodium thiocyanate (STC) and benzoic acid (BA) preservatives in liquid milk using surface-enhanced Raman spectroscopy (SERS) technique. A spectrum covering 350-2350 cm-1 region was selected to detect STC with concentrations ranging from 0.5 to 10 mg/L and BA with concentrations ranging from 15 to 240 mg/L in milk samples. Characterization of nanoparticles using high-resolution TEM confirmed that the successful synthesis of Au@AgNPs with core (gold) size of 28 nm and shell (silver) thickness of about 5 nm was grafted with 120 μL of 0.1 nM cysteamine hydrochloride. Results showed that Au@Ag-CysNPs could be used to detect STC up to 0.03 mg/L with a limit of quantification (LOQ) of 0.039 mg/L and a coefficient of determination (R2) of 0.9833 in the milk sample. For detecting BA, it could be screened up to 9.8 mg/L with LOQ of 10.2 mg/L and R2 of 0.9903. The proposed substrate was also highly sensitive and the employed method involved only minor sample pretreatment steps. It is thus hoped that the new substrate could be used in the screening of prohibited chemicals in complex food matrices in future studies.
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Affiliation(s)
- Abid Hussain
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland.
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37
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Recent development in rapid detection techniques for microorganism activities in food matrices using bio-recognition: A review. Trends Food Sci Technol 2020. [DOI: 10.1016/j.tifs.2019.11.007] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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38
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Wang K, Sun DW, Pu H, Wei Q. A rapid dual-channel readout approach for sensing carbendazim with 4-aminobenzenethiol-functionalized core–shell Au@Ag nanoparticles. Analyst 2020; 145:1801-1809. [DOI: 10.1039/c9an02185j] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In this study, a 4-aminobenzenethiol-functionalized silver-coated gold nanoparticle (Au@Ag-4ABT NP) system was designed for the rapid sensing of carbendazim (CBZ) using a combination of naked-eye colorimetry and SERS dual-channel approach.
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Affiliation(s)
- Kaiqiang Wang
- School of Food Science and Engineering
- South China University of Technology
- Guangzhou 510641
- China
- Academy of Contemporary Food Engineering
| | - Da-Wen Sun
- School of Food Science and Engineering
- South China University of Technology
- Guangzhou 510641
- China
- Academy of Contemporary Food Engineering
| | - Hongbin Pu
- School of Food Science and Engineering
- South China University of Technology
- Guangzhou 510641
- China
- Academy of Contemporary Food Engineering
| | - Qingyi Wei
- School of Food Science and Engineering
- South China University of Technology
- Guangzhou 510641
- China
- Academy of Contemporary Food Engineering
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Farber C, Mahnke M, Sanchez L, Kurouski D. Advanced spectroscopic techniques for plant disease diagnostics. A review. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.05.022] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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40
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Recent advances in detecting and regulating ethylene concentrations for shelf-life extension and maturity control of fruit: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.06.010] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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41
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Yaseen T, Pu H, Sun DW. Effects of Ions on Core-Shell Bimetallic Au@Ag NPs for Rapid Detection of Phosalone Residues in Peach by SERS. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01454-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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42
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Developments of nondestructive techniques for evaluating quality attributes of cheeses: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.04.013] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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43
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Pu H, Huang Z, Sun DW, Fu H. Recent advances in the detection of 17β-estradiol in food matrices: A review. Crit Rev Food Sci Nutr 2019; 59:2144-2157. [PMID: 31084362 DOI: 10.1080/10408398.2019.1611539] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Pollution of endocrine disrupting chemicals has become a global issue. As one of the hormonally active compounds, 17β-estradiol produces the strongest estrogenic effect when it enters the organism exogenously including food intakes, bringing potential harmfulness such as malfunction of the endocrine system. Therefore, in order to assure food safety and avoid potential risks of 17β-estradiol to humans, it is of great significance to develop rapid, sensitive and selective approaches for the detection of 17β-estradiol in food matrices. In this review, the harmfulness and main sources of 17β-estradiol are firstly introduced, followed by the description of the principles and applications of different approaches for 17β-estradiol detection including high performance liquid chromatography, electrochemistry, Raman spectroscopy, fluorescence and colorimetry. Particularly, applications in detecting 17β-estradiol in food matrices over the years of 2010-2018 are discussed. Finally, advantages and limitations of these detection methods are highlighted and perspectives on future developments in the detection methods for 17β-estradiol are also proposed. Although many detection approaches can achieve trace or ultratrace detection of 17β-estradiol, further studies should be focused on the development of in-situ and real-time methods to monitor and evaluate 17β-estradiol for food safety.
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Affiliation(s)
- Hongbin Pu
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering , South China University of Technology, Guangzhou Higher Education Mega Center , Guangzhou , China.,c Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Zhibin Huang
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering , South China University of Technology, Guangzhou Higher Education Mega Center , Guangzhou , China.,c Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Da-Wen Sun
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering , South China University of Technology, Guangzhou Higher Education Mega Center , Guangzhou , China.,c Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods , Guangzhou Higher Education Mega Center , Guangzhou , China.,d Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre , University College Dublin, National University of Ireland , Belfield , Dublin 4 , Ireland
| | - Haohua Fu
- e Tang Renshen Group Co., Ltd , Zhuzhou , China
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44
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Yaseen T, Pu H, Sun DW. Fabrication of silver-coated gold nanoparticles to simultaneously detect multi-class insecticide residues in peach with SERS technique. Talanta 2019; 196:537-545. [DOI: 10.1016/j.talanta.2018.12.030] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 12/07/2018] [Accepted: 12/11/2018] [Indexed: 12/18/2022]
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45
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Hussain A, Sun DW, Pu H. SERS detection of urea and ammonium sulfate adulterants in milk with coffee ring effect. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2019; 36:851-862. [DOI: 10.1080/19440049.2019.1591643] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Abid Hussain
- School of Food Science and Engineering, South China University of Technology, Guangzhou, PR China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, PR China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou, PR China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, PR China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou, PR China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, PR China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, China
- Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland
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46
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Yaseen T, Pu H, Sun DW. Rapid detection of multiple organophosphorus pesticides (triazophos and parathion-methyl) residues in peach by SERS based on core-shell bimetallic Au@Ag NPs. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2019; 36:762-778. [DOI: 10.1080/19440049.2019.1582806] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Tehseen Yaseen
- School of Food Science and Engineering, South China University of Technology, Guangzhou, PR China
- Academy of Contemporary Food Engineering, Guangzhou Higher Education Mega Centre, South China University of Technology, Guangzhou, PR China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou, PR China
- Academy of Contemporary Food Engineering, Guangzhou Higher Education Mega Centre, South China University of Technology, Guangzhou, PR China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou, PR China
- Academy of Contemporary Food Engineering, Guangzhou Higher Education Mega Centre, South China University of Technology, Guangzhou, PR China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, Guangzhou Higher Education Mega Centre, Guangzhou, China
- Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Dublin, Ireland
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47
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Shell thickness-dependent Au@Ag nanoparticles aggregates for high-performance SERS applications. Talanta 2019; 195:506-515. [DOI: 10.1016/j.talanta.2018.11.057] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 11/13/2018] [Accepted: 11/19/2018] [Indexed: 01/05/2023]
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48
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Tu YS, Tseng YJ, Appell M. Quantum chemical investigation of the detection properties of alternariol and alternariol monomethyl ether. Struct Chem 2019. [DOI: 10.1007/s11224-019-01302-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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49
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Tittlemier S, Cramer B, Dall’Asta C, Iha M, Lattanzio V, Malone R, Maragos C, Solfrizzo M, Stranska-Zachariasova M, Stroka J. Developments in mycotoxin analysis: an update for 2017-2018. WORLD MYCOTOXIN J 2019. [DOI: 10.3920/wmj2018.2398] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
This review summarises developments that have been published in the period from mid-2017 to mid-2018 on the analysis of various matrices for mycotoxins. Analytical methods to determine aflatoxins, Alternaria toxins, ergot alkaloids, fumonisins, ochratoxins, patulin, trichothecenes, and zearalenone are covered in individual sections. Advances in sampling strategies are discussed in a dedicated section, as are methods used to analyse botanicals and spices, and newly developed comprehensive liquid chromatographic-mass spectrometric based multi-mycotoxin methods. This critical review aims to briefly discuss the most important recent developments and trends in mycotoxin determination as well as to address limitations of the presented methodologies.
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Affiliation(s)
- S.A. Tittlemier
- Canadian Grain Commission, Grain Research Laboratory, 1404-303 Main Street, Winnipeg, MB R3C 3G8, Canada
| | - B. Cramer
- University of Münster, Institute of Food Chemistry, Corrensstr. 45, 48149 Münster, Germany
| | - C. Dall’Asta
- Università di Parma, Department of Food and Drug, Viale delle Scienze 23/A, 43124 Parma, Italy
| | - M.H. Iha
- Nucleous of Chemistry and Bromatology Science, Adolfo Lutz Institute of Ribeirão Preto, Rua Minas 866, CEP 14085-410, Ribeirão Preto, SP, Brazil
| | - V.M.T. Lattanzio
- National Research Council of Italy, Institute of Sciences of Food Production, via Amendola 122/O, 70126 Bari, Italy
| | - R.J. Malone
- Trilogy Analytical Laboratory, 870 Vossbrink Dr, Washington, MO 63090, USA
| | - C. Maragos
- Mycotoxin Prevention and Applied Microbiology Research Unit, USDA, ARS National Center for Agricultural Utilization Research, 1815 N. University St., Peoria, IL 61604, USA
| | - M. Solfrizzo
- National Research Council of Italy, Institute of Sciences of Food Production, via Amendola 122/O, 70126 Bari, Italy
| | - M. Stranska-Zachariasova
- Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Technická 5, 166 28 Prague 6 – Dejvice, Czech Republic
| | - J. Stroka
- European Commission, Joint Research Centre, Retieseweg 111, 2440 Geel, Belgium
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50
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Ultrasensitive analysis of kanamycin residue in milk by SERS-based aptasensor. Talanta 2019; 197:151-158. [PMID: 30771917 DOI: 10.1016/j.talanta.2019.01.015] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 12/27/2018] [Accepted: 01/03/2019] [Indexed: 12/16/2022]
Abstract
An ultrasensitive method for the kanamycin (KANA) detection in milk sample using surface-enhanced Raman spectroscopy-based aptasensor was employed in the current study. Double strand DNA binding bimetallic gold@silver nanoparticles were developed as a sensing platform. Probe DNAs were first embedded on the surface of gold nanoparticles by the end-modified thiol, and after silver shell encapsulating, KANA aptamer DNAs with the Raman reporter Cy3 were then hybridized with probe DNAs by complementary base pairing. Results showed that with increase in the KANA concentration, the Raman intensity of Cy3 decreased. Besides achieving selectivity, an ultralow detection limit of 0.90 pg/mL, a broad linear relationship ranging from 10 μg/mL to 100 ng/mL in aqueous reagent and satisfactory recoveries of 90.4-112% in liquid whole milk were obtained. The result of actual sample proved that this aptasensor was promising in trace determination of KANA residue.
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