1
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Du X, Gao Z, He L. Quantifying the effect of non-ionic surfactant alkylphenol ethoxylates on the persistence of thiabendazole on fresh produce surface. J Sci Food Agric 2024; 104:2630-2640. [PMID: 37985216 DOI: 10.1002/jsfa.13147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/19/2023] [Accepted: 11/21/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Understanding the role of adjuvants in pesticide persistence is crucial to develop effective pesticide formulations and manage pesticide residues in fresh produce. This study investigated the impact of a commercial non-ionic surfactant product containing alkylphenol ethoxylates (APEOs) on the persistence of thiabendazole on apple and spinach surfaces against the 30 kg m-3 baking soda (sodium bicarbonate, NaHCO3 ) soaking, which was used to remove the active ingredient (AI) in the cuticular wax layer of fresh produce through alkaline hydrolysis. Surface-enhanced Raman scattering (SERS) mapping method was used to quantify the residue levels on fresh produce surfaces at different experimental scenarios. Four standard curves were established to quantify surface thiabendazole in the absence and presence of APEOs, on apple and spinach leaf surfaces, respectively. RESULTS Overall, the result showed that APEOs enhanced the persistence of thiabendazole over time. After 3 days of exposure, APEOs increased thiabendazole surface residue against NaHCO3 hydrolysis on apple and spinach surfaces by 5.39% and 10.47%, respectively. CONCLUSION The study suggests that APEOs led to more pesticide residues on fresh produce and greater difficulty in washing them off from the surfaces using baking soda, posing food safety concerns. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Xinyi Du
- Department of Food Science, University of Massachusetts, Amherst, MA, USA
| | - Zili Gao
- Department of Food Science, University of Massachusetts, Amherst, MA, USA
| | - Lili He
- Department of Food Science, University of Massachusetts, Amherst, MA, USA
- Department of Chemistry, University of Massachusetts, Amherst, MA, USA
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2
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Díaz MA, O’Connell DP, Jordan S, O’Connor C, Martin P, Jones JC, Garvey J. Analysis of Pesticide Levels in Honey and Pollen from Irish Honey Bee Colonies Using a Modified Dutch Mini-Luke Method with Gas and Liquid Chromatography-Tandem Mass Spectrometry Detection. J Agric Food Chem 2023; 71:12657-12667. [PMID: 37584230 PMCID: PMC10472503 DOI: 10.1021/acs.jafc.3c02250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/17/2023]
Abstract
Determining the levels of agrochemicals, such as pesticides, that honey bees are exposed to is critical for understanding what stress factors may be contributing to colony declines. Although several pesticide detection methods are available for honey, limited work has been conducted to adapt these methods for pollen. Here, we address this gap by modifying the Dutch mini-Luke extraction method (NL method) for pesticide analysis in honey and pollen from throughout the island of Ireland. The NL method was modified to enable detection in small-sized samples and validated for both pollen and honey matrices. The modified NL method combined with liquid and gas chromatography-tandem mass spectrometry gave consistent results in terms of accuracy and precision measured by recovery experiments and was successfully applied in the analysis of a range of pesticide residues. The modified NL method developed here provides a key tool for detecting pesticides in honey bee colony resources and the environment more broadly.
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Affiliation(s)
- Marcela A. Díaz
- School
of Biology and Environmental Science, University
College Dublin, Belfield, Dublin D04 N2E5, Ireland
| | - Darren P. O’Connell
- School
of Biology and Environmental Science, University
College Dublin, Belfield, Dublin D04 N2E5, Ireland
| | - Seana Jordan
- Food
Chemistry Division, Department of Agriculture, Food and The Marine, Celbridge W23 X3PH, Ireland
| | - Catriona O’Connor
- Food
Chemistry Division, Department of Agriculture, Food and The Marine, Celbridge W23 X3PH, Ireland
| | - Paul Martin
- Food
Chemistry Division, Department of Agriculture, Food and The Marine, Celbridge W23 X3PH, Ireland
| | - Julia C. Jones
- School
of Biology and Environmental Science, University
College Dublin, Belfield, Dublin D04 N2E5, Ireland
| | - Jim Garvey
- Food
Chemistry Division, Department of Agriculture, Food and The Marine, Celbridge W23 X3PH, Ireland
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3
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Gong T, Li H, Wang G, Guan F, Huang W, Zhang X. An anti-scratch flexible SERS substrate for pesticide residue detection on the surface of fruits and vegetables. Nanotechnology 2022; 33:405501. [PMID: 35767929 DOI: 10.1088/1361-6528/ac7cf3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
We propose an anti-scratch flexible surface-enhanced Raman scattering substrate with arrayed nanocavity microstructures fabricated by colloidal lithography. The nanocavity microstructure of the substrate can well protect the inner gold nanoparticles during wipe sampling. The prepared flexible substrate was able to detect 4-aminothiophenol (4-ATP) with a concentration down to 1 fM. Furthermore, the substrate was used to detect 6-BA residues on the surface of apples and bean sprouts through wipe sampling, which shows great potential in the field of rapid on-site detection, especially in the detection of pesticide residues on the surface of fruits and vegetables.
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Affiliation(s)
- Tianxun Gong
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Haonan Li
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Guilin Wang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Fang Guan
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Wen Huang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Xiaosheng Zhang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, People's Republic of China
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4
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Li J, Chen K, Zhu L, Li X, Li C, Chang Q, Xu W. Multiple Recognition-Based Sensor for Pesticide Residues. Front Chem 2022; 10:856698. [PMID: 35386844 PMCID: PMC8979164 DOI: 10.3389/fchem.2022.856698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/08/2022] [Indexed: 11/13/2022] Open
Abstract
The use of pesticides is gradually increasing to improve the yield and quality of crops. However, excessive pesticide use has led to a dramatic pollution increase in the environment and agricultural products, posing severe human health risks. Therefore, rapid, sensitive pesticide detection is essential. Various pesticides detection methods and products have been developed in recent years. This brief review summarized the point-of-care testing (POCT) detection of pesticides based on multiple recognition, including protein-, aptamer-, nanomaterial-, and macrocycle-based recognition. The review aimed to address the growing demands for regulating and destroying pesticides or other adverse agriculture-related applications in the real world.
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Affiliation(s)
- Jie Li
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, China,Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China,Beijing Laboratory for Food Quality and Safety, Food Science and Engineering College, Beijing University of Agriculture, Beijing, China
| | - Keren Chen
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China
| | - Longjiao Zhu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China
| | - Xiangyang Li
- Beijing Laboratory for Food Quality and Safety, Food Science and Engineering College, Beijing University of Agriculture, Beijing, China
| | - Changmo Li
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, China
| | - Qiaoying Chang
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China,*Correspondence: Qiaoying Chang, ; Wentao Xu,
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China,*Correspondence: Qiaoying Chang, ; Wentao Xu,
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5
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Zhao G, Chu F, Zhou J. A Novel Integrated APCI and MPT Ionization Technique as Online Sensor for Trace Pesticides Detection. Sensors (Basel) 2022; 22:1816. [PMID: 35270963 PMCID: PMC8914877 DOI: 10.3390/s22051816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/23/2022] [Accepted: 02/24/2022] [Indexed: 06/14/2023]
Abstract
The misuse of pesticides poses a tremendous threat to human health. Excessive pesticide residues have been shown to cause many diseases. Many sensor detection methods have been developed, but most of them suffer from problems such as slow detection speed or narrow detection range. So, the development of rapid, direct and sensitive means of detecting trace amounts of pesticide residues is always necessary. A novel online sensor technique was developed for direct analysis of pesticides in complex matrices with no sample pretreatment. The portable sensor ion source consists of an MPT (microwave plasma torch) with desolventizing capability and an APCI (atmosphere pressure chemical ionization), which provides abundant precursor ions and a strong electric field. The performance which improves the ionization efficiency and suppresses the background signal was verified by using pesticide standard solution and pesticide pear juice solution measurements with an Orbitrap mass spectrometer. The limit of detection (LOD) and the limit of quantization (LOQ) of the method were measured by pear juice solutions that were obtained in the ranges of 0.034-0.79 μg/L and 0.14-1 μg/L. Quantitative curves were obtained ranging from 0.5 to 100 μg/L that showed excellent semi-quantitative ability with correlation coefficients of 0.985-0.997. The recoveries (%) of atrazine, imidacloprid, dimethoate, profenofos, chlorpyrifos, and dichlorvos were 96.6%, 112.7%, 88.1%, 85.5%, 89.2%, and 101.9% with the RSDs ranging from 5.89-14.87%, respectively. The results show that the method has excellent sensitivity and quantification capability for rapid and direct detection of trace pesticide.
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Affiliation(s)
- Gaosheng Zhao
- State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Research Center for Analytical Instrumentation, Zhejiang University, Hangzhou 310027, China;
| | - Fengjian Chu
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China;
| | - Jianguang Zhou
- State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Research Center for Analytical Instrumentation, Zhejiang University, Hangzhou 310027, China;
- Department of Chemistry, Zhejiang University, Hangzhou 310027, China
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6
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Shen B, Ma C, Ji Y, Dai J, Li B, Zhang X, Huang H. Detection of Carboxylesterase 1 and Chlorpyrifos with ZIF-8 Metal-Organic Frameworks Using a Red Emission BODIPY-Based Probe. ACS Appl Mater Interfaces 2021; 13:8718-8726. [PMID: 33569946 DOI: 10.1021/acsami.0c19811] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
In this work, a red emission fluorescent probe CBZ-BOD@zeolitic imidazolate framework-8 (ZIF-8) was fabricated based on metal-organic frameworks (MOFs) for detecting carboxylesterase 1 (CES1). The small molecule probe CBZ-BOD was first synthesized and then used to prepare the functionalized MOF material. ZIF-8 was chosen as an encapsulation shell to improve the detection properties of CBZ-BOD. Using this unique porous materials, ultrasensitive quantification of CES1 and chlorpyrifos was successfully realized. The low detection limit and high fluorescence quantum yield were calculated as 1.15 ng/mL and 0.65 for CBZ-BOD@ZIF-8, respectively. CBZ-BOD@ZIF-8 has good biocompatibility and was successfully applied to monitor the activity of CES1 in living cells. A molecular docking study was used to explore the binding of CES1 and CBZ-BOD, finding that CES1 can bind with the probe before and after hydrolysis. This type of materialized probe can inspire the development of fluorescent tools for further exploration of many pathological processes.
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Affiliation(s)
- Baoxing Shen
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
| | - Chenggong Ma
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
| | - Yuan Ji
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
| | - Jianan Dai
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
| | - Bingzhi Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
| | - Xing Zhang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
| | - He Huang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China
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7
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Abstract
Surface-enhanced Raman spectroscopy (SERS) can be used for the detection of trace amounts of pesticides in foods to ensure consumer safety. In this perspective, we highlight the trends of SERS-based assays in pesticide detection and the various challenges associated with their selectivity, reproducibility, and nonspecific binding. We also discuss and compare the target analyte capture techniques, such as the use of antibodies, aptamers, and molecularly imprinted polymers (MIPs), coupled with SERS to overcome the drawbacks as mentioned above. In addition, issues related to the nonspecific binding of analytes and its potential solution are discussed.
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Affiliation(s)
- Andrea Bernat
- Department of Nutrition, Food and Exercise Sciences , Florida State University , Tallahassee , Florida 32306 , United States
| | - Mustafa Samiwala
- Department of Nutrition, Food and Exercise Sciences , Florida State University , Tallahassee , Florida 32306 , United States
| | - Jonathan Albo
- Department of Chemical and Biomedical Engineering , Florida State University , Tallahassee , Florida 32310 , United States
| | - Xingyi Jiang
- Department of Nutrition, Food and Exercise Sciences , Florida State University , Tallahassee , Florida 32306 , United States
| | - Qinchun Rao
- Department of Nutrition, Food and Exercise Sciences , Florida State University , Tallahassee , Florida 32306 , United States
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8
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Abstract
Organophosphate poisoning is a continued menace associated with high morbidity and mortality in both resource-crunched developing and developed countries. Cases have been described of deliberate self-poisoning which has higher mortality than accidental exposure. Fatal poisoning by accidental dermal absorption is rarely reported for monocrotophos. Authors detail fatal accidental monocrotophos poisoning in adult female by dermal exposure while sleeping. Pesticide was detected in post-mortem blood and skin by chromatography and spectroscopy. Extraction along with review of literature for monocrotophos poisoning is adjuncted in this study.
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Affiliation(s)
- J Bodwal
- Department of Forensic Medicine, Deen Dayal Upadhyaya Hospital, India
| | - M Chauhan
- Government Medical College & Hospital, Chandigarh, India
| | - C Behera
- Department of Forensic medicine & Toxicology, AIIMS, India
| | - K Jitendra
- Delhi State Forensic Science Laboratory, India
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9
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Sitjar J, Liao JD, Lee H, Liu BH, Fu WE. SERS-Active Substrate with Collective Amplification Design for Trace Analysis of Pesticides. Nanomaterials (Basel) 2019; 9:E664. [PMID: 31035555 DOI: 10.3390/nano9050664] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 04/23/2019] [Accepted: 04/24/2019] [Indexed: 12/12/2022]
Abstract
Health risks posed by the exposure to trace amounts of pesticide residue in agricultural products have gained a lot of concerns, due to their neurotoxic nature. The applications of surface-enhanced Raman Scattering (SERS) as a detection technique have consistently shown its potential as a rapid and sensitive means with minimal sample preparation. In this study, gold nanoparticles (Au NPs) in elliptical shapes were collected into a layer of ordered zirconia concave pores. The porous zirconia layer (pZrO2) was then deposited with Au NPs, denoted as Au NPs (x)/pZrO2, where x indicates the deposition thickness of Au NPs in nm. In the concave structure of pZrO2, Au-ZrO2 and Au-Au interactions provide a synergistic and physical mechanism of SERS, which is anticipated to collect and amplify SERS signals and thereafter improve the enhancement factor (EF) of Au NPs/pZrO2. By taking Rhodamine 6G (R6G) as the test molecule, EF of Au NPs/pZrO2 might reach to 7.0 × 107. Au NPs (3.0)/pZrO2 was then optimized and competent to detect pesticides, e.g., phosmet and carbaryl at very low concentrations, corresponding to the maximum residue limits of each, i.e., 0.3 ppm and 0.2 ppm, respectively. Au NPs (3.0)/pZrO2 also showed the effectiveness of distinguishing between phosmet and carbaryl under mixed conditions. Due to the strong affinities of the phosphoric groups and sulfur in phosmet to the Au NPs (3.0)/pZrO2, the substrate exhibited selective detection to this particular pesticide. In this study, Au NPs (3.0)/pZrO2 has thus demonstrated trace detection of residual pesticides, due to the substrate design that intended to provide collective amplification of SERS.
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10
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Zhu J, Lin G, Wu M, Chen Z, Lu P, Wu W. Large-Scale Fabrication of Ultrasensitive and Uniform Surface-Enhanced Raman Scattering Substrates for the Trace Detection of Pesticides. Nanomaterials (Basel) 2018; 8:E520. [PMID: 30002295 DOI: 10.3390/nano8070520] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 07/07/2018] [Accepted: 07/09/2018] [Indexed: 12/13/2022]
Abstract
Technology transfer from laboratory into practical application needs to meet the demands of economic viability and operational simplicity. This paper reports a simple and convenient strategy to fabricate large-scale and ultrasensitive surface-enhanced Raman scattering (SERS) substrates. In this strategy, no toxic chemicals or sophisticated instruments are required to fabricate the SERS substrates. On one hand, Ag nanoparticles (NPs) with relatively uniform size were synthesized using the modified Tollens method, which employs an ultra-low concentration of Ag+ and excessive amounts of glucose as a reducing agent. On the other hand, when a drop of the colloidal Ag NPs dries on a horizontal solid surface, the droplet becomes ropy, turns into a layered structure under gravity, and hardens. During evaporation, capillary flow was burdened by viscidity resistance from the ropy glucose solution. Thus, the coffee-ring effect is eliminated, leading to a uniform deposition of Ag NPs. With this method, flat Ag NPs-based SERS active films were formed in array-well plates defined by hole-shaped polydimethylsiloxane (PDMS) structures bonded on glass substrates, which were made for convenient detection. The strong SERS activity of these substrates allowed us to reach detection limits down to 10−14 M of Rhodamine 6 G and 10−10 M of thiram (pesticide).
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Koh EH, Mun C, Kim C, Park SG, Choi EJ, Kim SH, Dang J, Choo J, Oh JW, Kim DH, Jung HS. M13 Bacteriophage/Silver Nanowire Surface-Enhanced Raman Scattering Sensor for Sensitive and Selective Pesticide Detection. ACS Appl Mater Interfaces 2018; 10:10388-10397. [PMID: 29505228 DOI: 10.1021/acsami.8b01470] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
A surface-enhanced Raman scattering (SERS) sensor comprising silver nanowires (AgNWs) and genetically engineered M13 bacteriophages expressing a tryptophan-histidine-tryptophan (WHW) peptide sequence (BPWHW) was fabricated by simple mixing of BPWHW and AgNW solutions, followed by vacuum filtration onto a glass-fiber filter paper (GFFP) membrane. The AgNWs stacked on the GFFP formed a high density of SERS-active hot spots at the points of nanowire intersections, and the surface-coated BPWHW functioned as a bioreceptor for selective pesticide detection. The BPWHW-functionalized AgNW (BPWHW/AgNW) sensor was characterized by scanning electron microscopy, confocal scanning fluorescence microscopy, atomic force microscopy, and Fourier transform infrared spectroscopy. The Raman signal enhancement and the selective pesticide SERS detection properties of the BPWHW/AgNW sensor were investigated in the presence of control substrates such as wild-type M13 bacteriophage-decorated AgNWs (BPWT/AgNW) and undecorated AgNWs (AgNW). The BPWHW/AgNW sensor exhibited a significantly higher capture capability for pesticides, especially paraquat (PQ), than the control SERS substrates, and it also showed a relatively higher selectivity for PQ than for other bipyridylium pesticides such as diquat and difenzoquat. Furthermore, as a field application test, PQ was detected on the surface of PQ-pretreated apple peels, and the results demonstrated the feasibility of using a paper-based SERS substrate for on-site residual pesticide detection. The developed M13 bacteriophage-functionalized AgNW SERS sensor might be applicable for the detection of various pesticides and chemicals through modification of the M13 bacteriophage surface peptide sequence.
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Affiliation(s)
- Eun Hye Koh
- Advanced Functional Thin Films Department , Korea Institute of Materials Science (KIMS) , Changwon , Gyeongnam 51508 , Republic of Korea
- Department of Nano Fusion Technology , Pusan National University (PNU) , Busan 46241 , Republic of Korea
| | - ChaeWon Mun
- Advanced Functional Thin Films Department , Korea Institute of Materials Science (KIMS) , Changwon , Gyeongnam 51508 , Republic of Korea
| | - ChunTae Kim
- Department of Nano Fusion Technology , Pusan National University (PNU) , Busan 46241 , Republic of Korea
| | - Sung-Gyu Park
- Advanced Functional Thin Films Department , Korea Institute of Materials Science (KIMS) , Changwon , Gyeongnam 51508 , Republic of Korea
| | - Eun Jung Choi
- Department of Nano Fusion Technology , Pusan National University (PNU) , Busan 46241 , Republic of Korea
| | - Sun Ho Kim
- Advanced Functional Thin Films Department , Korea Institute of Materials Science (KIMS) , Changwon , Gyeongnam 51508 , Republic of Korea
| | - Jaejeung Dang
- Department of Bionano Technology , Hanyang University , Ansan 426-791 , Republic of Korea
| | - Jaebum Choo
- Department of Bionano Technology , Hanyang University , Ansan 426-791 , Republic of Korea
| | - Jin-Woo Oh
- Department of Nano Fusion Technology , Pusan National University (PNU) , Busan 46241 , Republic of Korea
| | - Dong-Ho Kim
- Advanced Functional Thin Films Department , Korea Institute of Materials Science (KIMS) , Changwon , Gyeongnam 51508 , Republic of Korea
| | - Ho Sang Jung
- Advanced Functional Thin Films Department , Korea Institute of Materials Science (KIMS) , Changwon , Gyeongnam 51508 , Republic of Korea
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12
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Jiang J, Zou S, Ma L, Wang S, Liao J, Zhang Z. Surface-Enhanced Raman Scattering Detection of Pesticide Residues Using Transparent Adhesive Tapes and Coated Silver Nanorods. ACS Appl Mater Interfaces 2018; 10:9129-9135. [PMID: 29470045 DOI: 10.1021/acsami.7b18039] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The efficient extraction of analytes from complex and severe environments is significant for promoting the surface-enhanced Raman scattering (SERS) technique to actual applications. In this paper, a proof-of-concept strategy is proposed for the rapid detection of pesticide residues by utilizing the flexible, transparent, and adhesive properties of commercial tapes and SERS performance of Al2O3-coated silver nanorod (AgNR@Al2O3) arrays. The function of tapes is to rapidly transfer the analytes from the actual surface to the SERS substrate. The novel "tape-wrapped SERS (T-SERS)" approach was constructed by a simple "paste, peel off, and paste again" procedure. The easily obtained but clearly distinguished SERS signals allow us to quickly determine the constituents of complex surfaces, such as tetramethylthiuram disulfide and thiabendazole pesticides from fruits and vegetables, which may be practically applied to food safety, environmental monitoring, and industrial production process controlling.
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Affiliation(s)
- Jiaolai Jiang
- Institute of Materials , China Academy of Engineering Physics , P.O. Box 9-11, Huafengxincun, Jiangyou , Sichuan 621908 , P. R. China
| | - Sumeng Zou
- Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering , Tsinghua University , Beijing 100084 , P. R. China
| | - Lingwei Ma
- Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering , Tsinghua University , Beijing 100084 , P. R. China
| | - Shaofei Wang
- Institute of Materials , China Academy of Engineering Physics , P.O. Box 9-11, Huafengxincun, Jiangyou , Sichuan 621908 , P. R. China
| | - Junsheng Liao
- Institute of Materials , China Academy of Engineering Physics , P.O. Box 9-11, Huafengxincun, Jiangyou , Sichuan 621908 , P. R. China
| | - Zhengjun Zhang
- Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering , Tsinghua University , Beijing 100084 , P. R. China
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