51
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Li R, Wen Y, Wang F, He P. Recent advances in immunoassays and biosensors for mycotoxins detection in feedstuffs and foods. J Anim Sci Biotechnol 2021; 12:108. [PMID: 34629116 PMCID: PMC8504128 DOI: 10.1186/s40104-021-00629-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 08/08/2021] [Indexed: 12/22/2022] Open
Abstract
Mycotoxins are secondary metabolites produced by fungus. Many mycotoxin species are highly toxic and are frequently found in cereals and feedstuffs. So, powerful detection methods are vital and effective ways to prevent feed contamination. Traditional detection methods can no longer meet the needs of massive, real-time, simple, and fast mycotoxin monitoring. Rapid detection methods based on advanced material and sensor technology are the future trend. In this review, we highlight recent progress of mycotoxin rapid detection strategies in feedstuffs and foods, especially for simultaneous multiplex mycotoxin determination. Immunoassays, biosensors, and the prominent roles of nanomaterials are introduced. The principles of different types of recognition and signal transduction are explained, and the merits and pitfalls of these methods are compared. Furthermore, limitations and challenges of existing rapid sensing strategies and perspectives of future research are discussed.
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Affiliation(s)
- Runxian Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yang Wen
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Fenglai Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Pingli He
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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Zhao J, Wang Z, Chen Y, Peng D, Xianyu Y. Horseradish peroxidase-catalyzed formation of polydopamine for ultra-sensitive magnetic relaxation sensing of aflatoxin B 1. JOURNAL OF HAZARDOUS MATERIALS 2021; 419:126403. [PMID: 34323734 DOI: 10.1016/j.jhazmat.2021.126403] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 05/26/2021] [Accepted: 06/11/2021] [Indexed: 06/13/2023]
Abstract
Aflatoxin B1 as one of the most toxic mycotoxins poses a major health risk to humans and animals. Highly sensitive detection methods of aflatoxin B1 are urgently required because of its low abundance in biological samples. In this work, we developed a magnetic relaxation sensing strategy using enzyme-catalyzed formation of polydopamine for signal amplification. Horseradish peroxidase can catalyze the reaction to generate polydopamine that assembles magnetic nanoparticles for magnetic relaxation sensing with a high signal-to-noise ratio. Combined with the specific antigen-antibody interaction, this magnetic sensor enables fast and ultra-sensitive detection of aflatoxin B1 by using transverse relaxation time (T2) as a readout. Under optimized conditions, the linear range of this magnetic sensor for detecting aflatoxin B1 is from 10 pg/mL to 10 ng/mL, and the limit of detection is 0.35 pg/mL. This sensor has been challenged for the quantitative analysis of aflatoxin B1 in animal feed samples that is promising for real-world applications.
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Affiliation(s)
- Junpeng Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Zhilong Wang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
| | - Dapeng Peng
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for Detection of Veterinary Drug Residues, MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Hubei Collaborative Innovation Center for Animal Nutrition and Feed Safety, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Yunlei Xianyu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
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53
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Li X, Zhu H, Liu P, Wang M, Pan J, Qiu F, Ni L, Niu X. Realizing selective detection with nanozymes: Strategies and trends. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116379] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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54
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Kong D, Zhao J, Tang S, Shen W, Lee HK. Logarithmic Data Processing Can Be Used Justifiably in the Plotting of a Calibration Curve. Anal Chem 2021; 93:12156-12161. [PMID: 34455774 DOI: 10.1021/acs.analchem.1c02011] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The article is a response to a recent opinion piece that log concentration values should not be applied in analytical chemistry. An essential aim in the development of analytical chemistry methods is to obtain more sensitive and accurate detection values. For the application of chemical analysis methods, the obtained experiment data need to fit with the mathematical functions in the first place. As influenced by different detection principles and analytical methods, data can be displayed in a coordinate system with two linear axes for linear function fitting, or the data can first be taken through a logarithmic transformation and then for function fitting. Using raw data or data after logarithmic transformation primarily depends on analytical principles, without special rules of data formats. For example, ultraviolet-visible spectrophotometric data are more suitable for direct linear fitting. However, enzyme-catalyzed reaction or electrochemical data in logarithmic form are more appropriate for function fitting. This transformation of data form will not affect the soundness of fit statistics; rather, it simplifies the complexity of function analysis and calculation, which are the essence of analytical chemistry. In this brief article, we provide justification and legitimacy of the application of logarithmic processing in various fields of quantitative analytical chemistry.
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Affiliation(s)
- Dezhao Kong
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, PR China
| | - Jun Zhao
- School of Science, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, PR China
| | - Sheng Tang
- School of Environment and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, PR China
| | - Wei Shen
- School of Environment and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu Province, PR China
| | - Hian Kee Lee
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore
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Xue L, Jin N, Guo R, Wang S, Qi W, Liu Y, Li Y, Lin J. Microfluidic Colorimetric Biosensors Based on MnO 2 Nanozymes and Convergence-Divergence Spiral Micromixers for Rapid and Sensitive Detection of Salmonella. ACS Sens 2021; 6:2883-2892. [PMID: 34237939 DOI: 10.1021/acssensors.1c00292] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
In-field screening of foodborne pathogens plays an important role in ensuring food safety. Thus, a microfluidic biosensor was developed for rapid and sensitive detection of Salmonella using manganese dioxide nanoflowers (MnO2 NFs) for amplifying the biological signal, a microfluidic chip with a convergence-divergence spiral micromixer for performing automatic operations, and a smartphone app with a saturation calculation algorithm for processing the image. First, immune magnetic nanoparticles (MNPs), the sample, and immune MnO2 NFs were fully mixed and sufficiently incubated in the spiral micromixer to form MNP-bacteria-MnO2 sandwich complexes, which were magnetically captured in a separation chamber in the microfluidic chip. Then, a 3,3',5,5'-tetramethylbenzidine (TMB) substrate was injected and catalyzed by a MnO2 NF nanomimetic enzyme on the complexes, resulting in the production of yellow catalysate. Finally, the catalysate was transferred into a detection chamber and its image was measured and processed using the smartphone app to determine the number of bacteria. This biosensor was able to detect Salmonella from 4.4 × 101 to 4.4 × 106 CFU/mL in 45 min with a detection limit of 44 CFU/mL, and has the potential to provide a promising platform for on-site detection of foodborne bacteria.
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Affiliation(s)
- Li Xue
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Nana Jin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Ruya Guo
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Siyuan Wang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Wuzhen Qi
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Yuanjie Liu
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China
| | - Yanbin Li
- Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, Arkansas 72701, United States
| | - Jianhan Lin
- Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China
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56
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Wu L, Zhou S, Wang G, Yun Y, Liu G, Zhang W. Nanozyme Applications: A Glimpse of Insight in Food Safety. Front Bioeng Biotechnol 2021; 9:727886. [PMID: 34504834 PMCID: PMC8421533 DOI: 10.3389/fbioe.2021.727886] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 07/22/2021] [Indexed: 12/28/2022] Open
Abstract
Nanozymes own striking merits, including high enzyme-mimicking activity, good stability, and low cost. Due to the powerful and distinguished functions, nanozymes exhibit widespread applications in the field of biosensing and immunoassay, attracting researchers in various fields to design and engineer nanozymes. Recently, nanozymes have been innovatively used to bridge nanotechnology with analytical techniques to achieve the high sensitivity, specificity, and reproducibility. However, the applications of nanozymes in food applications are seldom reviewed. In this review, we summarize several typical nanozymes and provide a comprehensive description of the history, principles, designs, and applications of nanozyme-based analytical techniques in food contaminants detection. Based on engineering and modification of nanozymes, the food contaminants are classified and then discussed in detail via discriminating the roles of nanozymes in various analytical methods, including fluorescence, colorimetric and electrochemical assay, surface-enhanced Raman scattering, magnetic relaxing sensing, and electrochemiluminescence. Further, representative examples of nanozymes-based methods are highlighted for contaminants analysis and inhibition. Finally, the current challenges and prospects of nanozymes are discussed.
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Affiliation(s)
- Long Wu
- College of Food Science and Engineering, Hainan University, Haikou, China
- Key Laboratory of Fermentation Engineering (Ministry of Education), College of Bioengineering and Food, Hubei University of Technology, Wuhan, China
| | - Shuhong Zhou
- Key Laboratory of Fermentation Engineering (Ministry of Education), College of Bioengineering and Food, Hubei University of Technology, Wuhan, China
| | - Gonglei Wang
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, China
| | - Yonghuan Yun
- College of Food Science and Engineering, Hainan University, Haikou, China
| | - Guozhen Liu
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, China
| | - Weimin Zhang
- College of Food Science and Engineering, Hainan University, Haikou, China
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57
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Li R, Wen Y, Yang L, Liu A, Wang F, He P. Dual quantum dot nanobeads-based fluorescence-linked immunosorbent assay for simultaneous detection of aflatoxin B1 and zearalenone in feedstuffs. Food Chem 2021; 366:130527. [PMID: 34284186 DOI: 10.1016/j.foodchem.2021.130527] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/22/2021] [Accepted: 07/01/2021] [Indexed: 01/20/2023]
Abstract
A novel dual quantum dot nanobeads-based fluorescence-linked immunosorbent assay (QBs-FLISA) was successfully developed for simultaneously detecting aflatoxin B1 (AFB1) and zearalenone (ZEN) in feedstuffs. Dual CdSe/ZnS quantum dot nanobeads with different diameters that emit red and green fluorescence were conjugated with anti-AFB1 and anti-ZEN monoclonal antibodies to prepare fluorescent probes, which greatly enhance analytical performance. Under the optimal conditions, the limits of detection for AFB1 and ZEN were 9.3 and 102.1 pg mL-1, respectively. The recoveries ranged from 82.50% to 116.21% with relative standard deviation less than 11.3%. Compared with traditional enzyme-linked immunosorbent assay, detection sensitivities of AFB1 and ZEN using QBs-FLISA were increased 20 and 5 folds, respectively. In addition, results of feedstuff samples analyzed by QBs-FLISA and liquid chromatography tandem mass spectrometry showed a good agreement (R2 = 0.99).
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Affiliation(s)
- Runxian Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Yang Wen
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Luqing Yang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Anguo Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Fenglai Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Pingli He
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
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58
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Abdul Hakeem D, Su S, Mo Z, Wen H. Upconversion luminescent nanomaterials: A promising new platform for food safety analysis. Crit Rev Food Sci Nutr 2021; 62:8866-8907. [PMID: 34159870 DOI: 10.1080/10408398.2021.1937039] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Foodborne diseases have become a significant threat to public health worldwide. Development of analytical techniques that enable fast and accurate detection of foodborne pathogens is significant for food science and safety research. Assays based on lanthanide (Ln) ion-doped upconversion nanoparticles (UCNPs) show up as a cutting edge platform in biomedical fields because of the superior physicochemical features of UCNPs, including negligible autofluorescence, large signal-to-noise ratio, minimum photodamage to biological samples, high penetration depth, and attractive optical and chemical features. In recent decades, this novel and promising technology has been gradually introduced to food safety research. Herein, we have reviewed the recent progress of Ln3+-doped UCNPs in food safety research with emphasis on the following aspects: 1) the upconversion mechanism and detection principles; 2) the history of UCNPs development in analytical chemistry; 3) the in-depth state-of-the-art synthesis strategies, including synthesis protocols for UCNPs, luminescence, structure, morphology, and surface engineering; 4) applications of UCNPs in foodborne pathogens detection, including mycotoxins, heavy metal ions, pesticide residue, antibiotics, estrogen residue, and pathogenic bacteria; and 5) the challenging and future perspectives of using UCNPs in food safety research. Considering the diversity and complexity of the foodborne harmful substances, developing novel detections and quantification techniques and the rigorous investigations about the effect of the harmful substances on human health should be accelerated.
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Affiliation(s)
- Deshmukh Abdul Hakeem
- Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China
| | - Shaoshan Su
- Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China
| | - Zhurong Mo
- Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China
| | - Hongli Wen
- Key Laboratory of Clean Chemistry Technology of Guangdong Regular Higher Education Institutions, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China
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59
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Lu D, Jiang H, Zhang G, Luo Q, Zhao Q, Shi X. An In Situ Generated Prussian Blue Nanoparticle-Mediated Multimode Nanozyme-Linked Immunosorbent Assay for the Detection of Aflatoxin B1. ACS APPLIED MATERIALS & INTERFACES 2021; 13:25738-25747. [PMID: 34043909 DOI: 10.1021/acsami.1c04751] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This work aims to develop a novel multimode (photothermal/colorimetric/fluorescent) nanozyme-linked immunosorbent assay (NLISA) based on the in situ generation of Prussian blue nanoparticles (PBNPs) on the surface of magnetic nanoparticles (MNPs). Being considered the most toxic among the mycotoxins, aflatoxin B1 (AFB1) was chosen as the proof-of-concept target. In this strategy, MNPs, on which an AFB1 aptamer was previously assembled via streptavidin-biotin linkage, are anchored to 96-well plates by AFB1 and antibody. In the presence of HCl and K4Fe(CN)6, PBNPs formed in situ on the MNP surface, thereby achieving photothermal and colorimetric signal readout due to their photothermal effect and intrinsic peroxidase-like activity. Based on fluorescence quenching by MNPs, Cy5 fluorescence was recovered by the in situ generation of PBNPs to facilitate ultrasensitive fluorescence detection. Photothermal and colorimetric signals allow portable/visual point-of-care testing, and fluorescent signals enable accurate determination with a detection limit of 0.54 fg/mL, which is 6333 and 28 times lower than those of photothermal and colorimetric analyses, respectively. We expect that this proposed multimode NLISA can not only reduce the false-positive/negative rates through the multisignal crossdetection in AFB1 monitoring but also provide a universal way of sophisticated instrumentation-free, easy-to-use, cost-effective, and highly sensitive detection of other food hazards.
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Affiliation(s)
- Dai Lu
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Hao Jiang
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Guangyin Zhang
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Qian Luo
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Qian Zhao
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Xingbo Shi
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
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60
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Zhang Y, Ning L, Gao D, Jia D, Gu W, Liu X. A highly sensitive upconversion nanoparticles@zeolitic imidazolate frameworks fluorescent nanoprobe for gallic acid analysis. Talanta 2021; 233:122588. [PMID: 34215078 DOI: 10.1016/j.talanta.2021.122588] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 06/03/2021] [Accepted: 06/05/2021] [Indexed: 02/07/2023]
Abstract
In this work, a core-shell structured upconversion nanoparticles@zeolitic imidazolate frameworks (ZIF-8) fluorescent nanoprobe (NaErF4:Tm@SiO2@ZIF-8) has been designed for the detection of gallic acid (GA). The mechanism is according to the 3, 3', 5, 5'-tetramethylbenzidine (TMB) can be oxidized to oxidized TMB (oxTMB) by Ag+. Under 980 nm laser excitation, NaErF4:Tm@SiO2@ZIF-8 can emit red light at 652 nm, which have a good overlap with the absorption spectra of oxTMB, resulting in the fluorescence quenching at 652 nm. Continually adding GA into the above solution, oxTMB will restore to TMB, and the fluorescence intensity at 652 nm gradually recovers, which can realize the detection towards GA. The linear detection range of GA is from 0 to 30 μM, and the limit of detection (LOD) of GA is 0.35 μM. The ZIF-8 can largely enhance the sensitivity of the nanoprobe, due to the physical absorption and the electrostatic attraction between ZIF-8 and the oxTMB. More importantly, this is the first time to realize the detection of GA with high sensitivity by using upconversion fluorescence. Besides, we have realized the analysis of GA in real samples, which certify the feasible of the nanoprobe in potential applications.
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Affiliation(s)
- Yuting Zhang
- College of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (MOE), Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Collaborative Innovation Centre of Chemical Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Liangmin Ning
- College of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (MOE), Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Collaborative Innovation Centre of Chemical Science and Engineering, Nankai University, Tianjin, 300071, China.
| | - Dameng Gao
- College of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (MOE), Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Collaborative Innovation Centre of Chemical Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Dandan Jia
- College of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (MOE), Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Collaborative Innovation Centre of Chemical Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Wen Gu
- College of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (MOE), Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Collaborative Innovation Centre of Chemical Science and Engineering, Nankai University, Tianjin, 300071, China.
| | - Xin Liu
- College of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (MOE), Tianjin Key Laboratory of Metal and Molecule Based Material Chemistry, Collaborative Innovation Centre of Chemical Science and Engineering, Nankai University, Tianjin, 300071, China.
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61
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A Review on Recent Developments and Applications of Nanozymes in Food Safety and Quality Analysis. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-01983-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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62
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Xu Z, Wang R, Chen Y, Chen M, Zhang J, Cheng Y, Xu J, Chen W. Three-dimensional assembly and disassembly of Fe 3O 4-decorated porous carbon nanocomposite with enhanced transversal relaxation for magnetic resonance sensing of bisphenol A. Mikrochim Acta 2021; 188:90. [PMID: 33598733 DOI: 10.1007/s00604-021-04718-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 01/18/2021] [Indexed: 02/02/2023]
Abstract
The design and construction of a novel magnetic resonance sensor (MRS) is presented for bisphenol A (BPA) detection. The MRS has been built based on the core component of magnetic Fe3O4 nanoparticles (~ 40 nm), which were uniformly distributed in nanoporous carbon (abbreviated as Fe3O4@NPC). The synthesis was derived from the calcination of the metal organic framework (MOF) precursor of Fe-MIL-101 at high temperature. Fe3O4@NPC was confirmed with enhanced transversal relaxation with r2 value of 118.2 mM-1 s-1, which was around 1.7 times higher than that of the naked Fe3O4 nanoparticle. This enhancement is attributed to the excellent proton transverse relaxation rate of Fe3O4@NPC caused by the reduced self-diffusion coefficient of water molecules in the vicinity of Fe3O4 nanoparticles in the nanoporous carbon. BPA antibody (Ab) and antigen (Ag)-ovalbumin (OVA) were immobilized onto the Fe3O4@NPC to form Ab-Fe3O4@NPC and Ag-Fe3O4@NPC, respectively. These two composites can cause the three-dimensional assembly of Fe3O4@NPC via immunological recognition. The presence of BPA can compete with antigen-OVA to combine with Ab-Fe3O4@NPC, thereby breaking the assembly process (disassembly). The difference in the change of the T2 value before and after adding BPA can thus be used to monitor BPA. The proposed MRS not only revealed a wide linear range of BPA concentration from 0.05 to 50 ng mL-1 with an extremely low detection limit of 0.012 ng mL-1 (S/N = 3), but also displayed high selectivity towards matrix interferences. The recoveries of BPA ranged from 95.6 to 108.4% for spiked tea π, and 93.4 to 104.7% for spiked canned oranges samples, respectively, and the RSD (n = 3) was less than 4.4% for 3 successive assays. The versatility of Fe3O4@NPC with customized relaxation responses provides the possibility for the adaptation of magnetic resonance platforms for food safety development. The magnetic Fe3O4 nanoparticles are uniformly dispersed in the nanoporous carbon (Fe3O4@NPC), which derived from the calcinating of the metal organic framework (MOF) precursor of Fe-MIL-101. And the magnetic Fe3O4@NPCs are adopted for the construction of magnetic resonance sensor (MRS) for bisphenol A (BPA) detection.
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Affiliation(s)
- Zhou Xu
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Rong Wang
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Yanqiu Chen
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Maolong Chen
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Jian Zhang
- College of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Yunhui Cheng
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China.
| | - Jianguo Xu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Wei Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China.
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63
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Karaman C, Karaman O, Yola BB, Ülker İ, Atar N, Yola ML. A novel electrochemical aflatoxin B1 immunosensor based on gold nanoparticle-decorated porous graphene nanoribbon and Ag nanocube-incorporated MoS2 nanosheets. NEW J CHEM 2021. [DOI: 10.1039/d1nj02293h] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The accurate and precisive monitoring of aflatoxin B1 (AFB1), which is one of the most hazardous mycotoxins, especially in agricultural products, is significant for human and environmental health.
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Affiliation(s)
- Ceren Karaman
- Akdeniz University
- Vocational School of Technical Sciences
- Department of Electricity and Energy
- Antalya
- Turkey
| | - Onur Karaman
- Akdeniz University
- Vocational School of Health Services
- Department of Medical Imaging Techniques
- Antalya
- Turkey
| | - Bahar Bankoğlu Yola
- Iskenderun Technical University
- Science and Technology Application and Research Laboratory
- Turkey
| | - İzzet Ülker
- Erzurum Technical University
- Faculty of Health Sciences
- Department of Nutrition and Dietetics
- Erzurum
- Turkey
| | - Necip Atar
- Pamukkale University
- Faculty of Engineering
- Department of Chemical Engineering
- Denizli
- Turkey
| | - Mehmet Lütfi Yola
- Hasan Kalyoncu University
- Faculty of Health Sciences
- Department of Nutrition and Dietetics
- Gaziantep
- Turkey
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64
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Chen ML, Qi ZL, Jin WT, Xu Z, Cheng YH, Zhou ZH. Cation exchange in a fluorescent zinc-based metal–organic framework for cadmium ion detection. CrystEngComm 2021. [DOI: 10.1039/d1ce00931a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
A Zn metal–organic framework with a large aperture shows remarkable fluorescence characteristics for the detection of cadmium ions in aqueous solution and can adsorb CO2 and O2 selectively.
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Affiliation(s)
- Mao-Long Chen
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Zhen-Li Qi
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Wan-Ting Jin
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Zhou Xu
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Yun-Hui Cheng
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, 410114, China
| | - Zhao-Hui Zhou
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
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Majdinasab M, Ben Aissa S, Marty JL. Advances in Colorimetric Strategies for Mycotoxins Detection: Toward Rapid Industrial Monitoring. Toxins (Basel) 2020; 13:13. [PMID: 33374434 PMCID: PMC7823678 DOI: 10.3390/toxins13010013] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023] Open
Abstract
Mycotoxins contamination is a global public health concern. Therefore, highly sensitive and selective techniques are needed for their on-site monitoring. Several approaches are conceivable for mycotoxins analysis, among which colorimetric methods are the most attractive for commercialization purposes thanks to their visual read-out, easy operation, cost-effectiveness, and rapid response. This review covers the latest achievements in the last five years for the development of colorimetric methods specific to mycotoxins analysis, with a particular emphasis on their potential for large-scale applications in food industries. Gathering all types of (bio)receptors, main colorimetric methods are critically discussed, including enzyme-linked assays, lateral flow-assays, microfluidic devices, and homogenous in-solution strategies. This special focus on colorimetry as a versatile transduction method for mycotoxins analysis is comprehensively reviewed for the first time.
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Affiliation(s)
- Marjan Majdinasab
- Department of Food Science & Technology, School of Agriculture, Shiraz University, Shiraz 71441-65186, Iran;
| | - Sondes Ben Aissa
- BAE-LBBM Laboratory, University of Perpignan via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France;
| | - Jean Louis Marty
- BAE-LBBM Laboratory, University of Perpignan via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France;
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Xu Z, Zhang LW, Long LL, Zhu SH, Chen ML, Ding L, Cheng YH. Metal Organic Frame-Upconverting Nanoparticle Assemblies for the FRET Based Sensor Detection of Bisphenol A in High-Salt Foods. Front Bioeng Biotechnol 2020; 8:626269. [PMID: 33415103 PMCID: PMC7783312 DOI: 10.3389/fbioe.2020.626269] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 12/02/2020] [Indexed: 12/18/2022] Open
Abstract
To resolve the occurrence of unfulfillable detection in high-salts foods, we used fluorescence resonant energy transfer (FRET) sensors based on nanoparticle upconversion. In this study, we developed a novel FRET sensor for the detection of bisphenol A (BPA) in high-salt foods. We based this approach on the assembly of aptamer modified upconversion nanoparticles (DNA1-UCNPs) and complementary DNA modified metal organic frames (DNA2-MOFs), which possessed corresponding wavelength absorption. Targeting BPA signal transduction was performed using the BPA aptamer, via competitive recognition between the BPA analyte and complementary DNA sequences in a high-salt solution. Sensor adaption in high-salt samples was attributed to functional hydrophilic groups, modified in the MOFs, and the enhanced colloidal stability of these MOFs. The MOF-UCNP assembly displayed considerable analytical performance in terms of BPA detection, with a linear range of 0.1-100 nM, and a limit of detection (LOD) of 0.02 nM, in a 340 mM NaCl food sample (the energy drink, Gatorade). Thus, this method provides a solid basis for small molecules detection in high-salt foods.
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Affiliation(s)
- Zhou Xu
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
| | - Lin-wei Zhang
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
| | - Ling-li Long
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
| | - Shao-hua Zhu
- Changsha Customs Technology Center, Changsha Customs District P.R. China, Changsha, China
| | - Mao-long Chen
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
| | - Li Ding
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
| | - Yun-hui Cheng
- College of Chemistry and Food Engineering, Changsha University of Science & Technology, Changsha, China
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