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Nie D, Zhu X, Liu M, Cheng M, Fan K, Zhao Z, Huang Q, Zhang X, Han Z. Molecularly imprinted polymer-based electrochemical sensor for rapid detection of masked deoxynivalenol with Mn-doped CeO 2 nanozyme as signal amplifier. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135366. [PMID: 39088943 DOI: 10.1016/j.jhazmat.2024.135366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 07/16/2024] [Accepted: 07/27/2024] [Indexed: 08/03/2024]
Abstract
Deoxynivalenol-3-glucoside (D3G), the masked form of the important mycotoxin deoxynivalenol (DON), displays potential toxicity but is difficult to control owing to the lack of rapid detection methods. Herein, an innovative molecularly imprinted polymer (MIP)-based electrochemical sensor was developed for the rapid detection of D3G. MIP, an efficient recognition element for D3G, was electropolymerized using o-phenylenediamine based on a surface functional monomer-directing strategy for the first time. CeO2, which contains both Ce3+ and Ce4+ oxidation states, was introduced as a nanozyme to catalyze H2O2 reduction, while Mn doping generated more oxygen vacancies and considerably improved the catalytic activity. Mn-CeO2 also served as a promising substrate material because of its large surface area and excellent conductivity. Under optimal conditions, a good linear relationship was observed for D3G detection over the concentration range of 0.01-50 ng/mL. The proposed sensor could detect D3G down to 0.003 ng/mL with excellent selectivity, even distinguishing its precursor DON in complex samples. The sensor exhibited acceptable stability with high reproducibility and accuracy, and could successfully determine D3G in grain samples. To the best of our knowledge, this is the first electrochemical sensing platform for rapid D3G detection that can easily be expanded to other masked mycotoxins.
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Affiliation(s)
- Dongxia Nie
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Xueting Zhu
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Minghui Liu
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Meng Cheng
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Kai Fan
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Zhihui Zhao
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Qingwen Huang
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China
| | - Xiaolin Zhang
- COFCO Nutrition and Health Research Institute, Future Science and Technology Park, South Road No.4 Beiqijia, ChangPing, Beijing 102209, China
| | - Zheng Han
- Institute for Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jingqi Road, Shanghai 201403, China.
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Li D, Dong H, Li Z, Wang H, Sun J, Huang J, Li P, Zhou S, Zhai S, Zhao M, Sun X, Guo Y. Novel cross-linkable fluorescent probe with oriented antibody to enhance lateral immunoassay strip for the detection of acetamiprid. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:134935. [PMID: 38905980 DOI: 10.1016/j.jhazmat.2024.134935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 06/23/2024]
Abstract
Time-resolved fluorescent lateral immunoassay strip (TRFLIS) is a reliable and rapid method for detecting acetamiprid. However, its sensitivity is often affected by the structural patterns and stability of the fluorescent probe. Researchers have shown significant interests in using goat anti-mouse IgG (GaMIgG) which is indirectly bound to time-resolved fluorescent microsphere (TRFM) and antibody. This allowed for oriented modification of the antibody. However, the stability of fluorescent probe in this binding mode remained unexplored. Herein, 1-ethyl-(3-dimethylaminopropyl) carbodiimide hydrochloride was innovatively used as a cross-linking agent to enhance the binding of antibody to GaMIgG, which improved the stability of the fluorescent probe. Under optimal working conditions, this strategy exhibited a wide linear response range of 5-700 ng/mL. Its limit of detection (LOD) was 0.62 ng/mL, the visual LOD was 5 ng/mL, and the limit of quantification (LOQ) of 2.06 ng/mL. Additionally, under tomato matrix, leek matrix and Chinese cabbage matrix, the linear response ranges were 5-400, 5-300, and 5-700 ng/mL, with LODs of 0.16, 0.60, and 0.41 ng/mL, with LOQs of 0.53, 2.01 and 1.37 ng/mL, respectively. In conclusion, this strategy effectively reduced the dosage of acetamiprid antibody compared with TRFM directly linking acetamiprid antibody, and greatly increased the sensitivity of TRFLIS. Meanwhile, it demonstrated outstanding specificity and accuracy in acetamiprid detection and had been successfully applied to vegetable samples. This method enables rapid and accurate detection of large-volume samples by combining qualitative and quantitative methods. As such, it has great potential in the development of low-cost and high-performance immunochromatographic platforms.
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Affiliation(s)
- Donghan Li
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Haowei Dong
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Zhengtao Li
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Haifang Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Jiashuai Sun
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Jingcheng Huang
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Peisen Li
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Shuxian Zhou
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Shengxi Zhai
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Mingxin Zhao
- Institute of Fruit and Floriculture of Gansu Academy of Agricultural Sciences, Lanzhou, Gansu 730070, China
| | - Xia Sun
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China.
| | - Yemin Guo
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China.
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Gao S, Niu L, Zhou R, Wang C, Zheng X, Zhang D, Huang X, Guo Z, Zou X. Significance of the antibody orientation for the lateral flow immunoassays: A mini-review. Int J Biol Macromol 2024; 257:128621. [PMID: 38070797 DOI: 10.1016/j.ijbiomac.2023.128621] [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: 10/23/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 01/26/2024]
Abstract
Lateral flow immunoassays (LFIAs) are well-established and broadly commercialized tools in the field of point-of-care testing due to their simplicity, rapidity, cost-effectiveness, and low requirements for users and equipment. However, the insensitivity and the possibility of producing inaccurate results associated with conventional LFIAs have impeded their wide-ranging implementation, especially for monitoring ultra-trace level of analytes. Moreover, the heterogeneous distribution of amino acids on the surface of antibody (Ab) results in a lack of precise control over their orientation, which ultimately leads to unsatisfactory detection performance. To address those concerns, herein we provide an overview of the emerging efforts to prepare well-established LFIAs from the perspective of orientation manipulation of immobilized Abs on the nanoprobes or membranes. The preparation of excellent nanoprobes with Abs being oriented immobilized, consisting of the nanoprobe types, Ab types, and their conjugation chemistries, are reviewed. Followed by the introduction of efforts highlight the importance of directionally immobilized Ab on the membrane. The effects of Ab orientation on the analytical performance of LFIA platforms in terms of sensitivity, specificity, rapidity, reliability, cost-effectiveness, and stability are also summarized. Finally, the future development and challenges of Ab-oriented immobilization-assisted LFIAs are also discussed.
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Affiliation(s)
- Shipeng Gao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Lidan Niu
- Key Laboratory of Condiment Supervision Technology for State Market Regulation, Chongqing Institute for Food and Drug Control, Chongqing 401121, China
| | - Ruiyun Zhou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Chen Wang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xueyun Zheng
- Key Laboratory of Fermentation Engineering (Ministry of Education), School of Biological Engineering and Food, Hubei University of Technology, Wuhan 430068, China
| | - Di Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xianliang Huang
- Key Laboratory of Condiment Supervision Technology for State Market Regulation, Chongqing Institute for Food and Drug Control, Chongqing 401121, China
| | - Zhiming Guo
- 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.
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; China Light Industry Key Laboratory of Food Intelligent Detection & Processing, Jiangsu University, Zhenjiang 212013, China
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Wu W, Bai Y, Zhao T, Liang M, Hu X, Wang D, Tang X, Yu L, Zhang Q, Li P, Zhang Z. Intelligent Electrochemical Point-of-Care Test Method with Interface Control Based on DNA Pyramids: Aflatoxin B1 Detection in Food and the Environment. Foods 2023; 12:4447. [PMID: 38137251 PMCID: PMC10743006 DOI: 10.3390/foods12244447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Sensitive, intelligent point-of-care test (iPOCT) methods for small molecules like aflatoxin B1 (AFB1) are urgently needed for food and the environment. The challenge remains of surface control in iPOCT. Herein, we developed an electrochemical sensor based on the DNA pyramid (DNP), combining a smartphone, app, and mobile electrochemical workstations to detect AFB1. The DNP's structure can reduce local overcrowding and entanglement between neighboring probes, control the density and orientation of recognition probes (antibodies), produce uniform and orientational surface assemblies, and improve antigen-antibody-specific recognition and binding efficiency. Simultaneously, the hollow structure of the DNP enhances the electron transfer capacity and increases the sensitivity of electrochemical detection. In this work, the biosensor based on DNP was first combined with electrochemical (Ec) iPOCT to simultaneously achieve ordered interface modulation of recognition probes and intelligent detection of AFB1. Under optimal conditions, we found a detection limit of 3 pg/mL and a linear range of 0.006-30 ng/mL (R2 = 0.995). Further, using peanut, soybean, corn, and lake water as complex matrices, it recorded recoveries of 82.15-100.53%, excellent selectivity, acceptable stability, and good reproducibility. Finally, this Ec iPOCT provides consistent results compared to the high-performance liquid chromatography-tandem mass spectrometry method.
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Affiliation(s)
- Wenqin Wu
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Yizhen Bai
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Tiantian Zhao
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Meijuan Liang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Xiaofeng Hu
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Du Wang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Xiaoqian Tang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Li Yu
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Qi Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Peiwu Li
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
| | - Zhaowei Zhang
- Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, National Reference Laboratory for Agricultural Testing (Biotoxin), Hubei Hongshan Lab, Wuhan 430062, China
- School of Bioengineering and Health, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan 430200, China
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Lai X, Zhang G, Deng S, Zhang G, Xiao X, He W, Su L, Liu C, Lai W. Triple strategy-enhanced immunochromatographic assay based on APCB and AIEFM for the ultrasensitive detection of AFM1. JOURNAL OF HAZARDOUS MATERIALS 2023; 460:132438. [PMID: 37666170 DOI: 10.1016/j.jhazmat.2023.132438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/08/2023] [Accepted: 08/28/2023] [Indexed: 09/06/2023]
Abstract
Aflatoxin M1 (AFM1) is highly toxic, widely distributed, and difficult to monitor, posing a serious threat to human health. Therefore, a highly sensitive, rapid, convenient, and low-cost detection method must be urgently established. In this study, a triple strategy-enhanced immunochromatographic assay (ICA) was developed to satisfy these detection requirements. First, a turn-on signal output mode of the fluorescence quenching ICA substituted the turn-off mode of the traditional ICA for sensitive response to trace AFM1, with the limit of detection (LOD) reduced by approximately 4.9-fold. Then, a novel Au and polydopamine (PDA) cogrowth chrysanthemum-like blackbody was prepared as the quenching probe to reduce the background signal. This probe combined the excellent properties of Au nanoparticles with PDA. Thus, its fluorescence quenching constant was higher than that of single Au and PDA nanoparticles by 25.8- and 4.9-fold, respectively. Furthermore, an aggregation-induced emission fluorescence microsphere with a 5.7-fold higher relative quantum yield than a commercial fluorescence microsphere was selected as the signal output carrier to improve the signal-to-noise ratio. The integration of the above triple strategies established a 53.4-fold sensitivity-enhanced fluorescence quenching ICA (LOD = 0.9 pg/mL) for detecting AFM1 in milk, providing a strong technical guarantee for the safety monitoring of milk products.
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Affiliation(s)
- Xiaocui Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China
| | - Ganggang Zhang
- Institute of Microbiology, Jiangxi Academy of Sciences, Nanchang 330096, China
| | - Shengliang Deng
- Institute of Microbiology, Jiangxi Academy of Sciences, Nanchang 330096, China.
| | - Gan Zhang
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China
| | - Xiaoyue Xiao
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China
| | - Weihua He
- Institute of Microbiology, Jiangxi Academy of Sciences, Nanchang 330096, China
| | - Liu Su
- Institute of Microbiology, Jiangxi Academy of Sciences, Nanchang 330096, China
| | - Cong Liu
- Institute of Microbiology, Jiangxi Academy of Sciences, Nanchang 330096, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
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Wang Y, Liu P, Ye Y, Hammock BD, Zhang C. An Integrated Approach to Improve the Assay Performance of Quantum Dot-Based Lateral Flow Immunoassays by Using Silver Deposition. Microchem J 2023; 192:108932. [PMID: 38344211 PMCID: PMC10857874 DOI: 10.1016/j.microc.2023.108932] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Traditional quantum dot-based lateral flow immunoassay (QD-LFIA) is limited to signal loss in part by the blinking, photobleaching and oxidative quenching of QD probes. Inspired by the good application of silver deposition on QD surfaces in tissue imaging, and in the context of improving the assay performance without compromising the simplicity and practicality, we report that introducing the QD-silver combination to the LFIA system, has the advantages of accuracy improvement, signal enhancement and user friendliness promotion, but maintains the cost-effective property and commercial accessibility of QD-LFIA. The effect was shown by using CdSe/ZnS QD-LFIA coupled with anti-sodium pentachlorophenate antibody, which provided a 4-fold improvement in the signal, a 2.5-fold improvement in the detection limit and a zero false-negative rate for sodium pentachlorophenate analysis in chicken samples. The proposed LFIA integrates the possibilities of colorimetric and fluorometric detection with different detection limits (fluorometric at 10 ng/mL and colorimetric at 4 ng/mL) and with acceptable detection times (fluorometric at 12 min and colorimetric at 27 min). The current results indicate that this QD-silver combined LFIA is complementary to conventional fluorescence LFIA and could be an inexpensive, versatile, and sensitive alternative.
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Affiliation(s)
- Yulong Wang
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China
- Anhui Science and Technology University, Fengyang 233100, China
| | - Pengyan Liu
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Yuhui Ye
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Bruce D. Hammock
- Department of Entomology and Nematology, UCD Comprehensive Cancer Center, University of California, Davis, CA 95616, USA
| | - Cunzheng Zhang
- Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, Ministry of Agriculture, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
- Anhui Science and Technology University, Fengyang 233100, China
- School of Biology and food engineering, Jiangsu University, Zhenjiang 212013, China
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Yang D, Hu J, Deng F. Paper based SERS aptasensor towards dual-modal detection of interferon gamma. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38082589 DOI: 10.1109/embc40787.2023.10340492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Interferon gamma (IFN-γ), can serve as an active diagnostic biomarker of a broad spectrum of diseases such as auto inflammatory disease, viral and bacterial, parasites infections, and tumor control. The low physiological concentration of IFN-γ at pg‧mL-1 level for most diseases such as tuberculosis and lung cancer demand highly sensitive and selective detection methods. To achieve the goal, a novel paper-based SERS aptasensor towards rapid, dual-modal (visual and ultrasensitive) detection of IFN-γ is presented for the first time. A lateral flow platform with low-cost and user-friendly format in this study is adopted. The detection relies on the competition of the specific aptamer sequence of IFN-γ between its complementary DNA in the test line and IFN-γ in the sample solution. The presence of IFN-γ can be easily observed in the test line by naked eye and detected at pg‧mL-1 level by a portable Raman spectrometer. Linear detection range of 10-2000 pg‧mL-1 could be obtained with detection limit of 8.7 pg‧mL-1. In addition, as low as 10 pg/mL of IFN-γ in human serum could be detected, which is comparable with the results from ELISA.Clinical Relevance- This study establishes a simple, rapid, and low-cost assay for dual-modal detection of IFN-γ, which is in urgent demand in clinics especially vitally important in resource-limited areas.
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Bartosh AV, Sotnikov DV, Zherdev AV, Dzantiev BB. Handling Detection Limits of Multiplex Lateral Flow Immunoassay by Choosing the Order of Binding Zones. MICROMACHINES 2023; 14:333. [PMID: 36838034 PMCID: PMC9965744 DOI: 10.3390/mi14020333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/20/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Changes in the limits of detection (LODs) for a multiplex lateral flow immunoassay (LFIA) caused by different locations of the binding zone on the test strips were studied. Due to the non-equilibrium conditions of the immune reactions in LFIAs, their analytical parameters are susceptible to the binding constants of antigen-antibody reactions and assay duration. Consequently, the integration of several tests into one multiplex assay can cause a significant worsening of the sensitivity. In this study, we propose a simple methodology for the determination of the best arrangement of binding zones, which takes into account the binding constants for immunoreagents. LFIAs of four mycotoxins, namely, aflatoxin B1, deoxynivalenol, T-2 toxin, and ochratoxin A, were integrated into a multiplex test strip. An enzyme-linked immunosorbent assay was applied to determine the equilibrium and kinetic constants of the immunoreactants for each analyte. It was found that the arrangement of binding zones with a descending order of the equilibrium association constants was optimal and provided both lower detection limits and a more uniform coloration. The selected position of the binding zones allowed decreasing the LODs down to 2 and 27 times for ochratoxin A and deoxynivalenol, respectively. The proposed approach can be applied to multiplex LFIAs for different analytes.
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Lang Y, Zhang B, Cai D, Tu W, Zhang J, Shentu X, Ye Z, Yu X. Determination Methods of the Risk Factors in Food Based on Nanozymes: A Review. BIOSENSORS 2022; 13:69. [PMID: 36671904 PMCID: PMC9856088 DOI: 10.3390/bios13010069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/14/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Food safety issues caused by foodborne pathogens, chemical pollutants, and heavy metals have aroused widespread concern because they are closely related to human health. Nanozyme-based biosensors have excellent characteristics such as high sensitivity, selectivity, and cost-effectiveness and have been used to detect the risk factors in foods. In this work, the common detection methods for pathogenic microorganisms, toxins, heavy metals, pesticide residues, veterinary drugs, and illegal additives are firstly reviewed. Then, the principles and applications of immunosensors based on various nanozymes are reviewed and explained. Applying nanozymes to the detection of pathogenic bacteria holds great potential for real-time evaluation and detection protocols for food risk factors.
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10
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Synthesis of C8F13-SiO2 stationary phase for chromatographic separation of highly polar compounds. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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11
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Emerging biosensors to detect aflatoxin M1 in milk and dairy products. Food Chem 2022; 398:133848. [DOI: 10.1016/j.foodchem.2022.133848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/17/2022] [Accepted: 07/31/2022] [Indexed: 11/23/2022]
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12
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Wang J, Jiang C, Yuan J, Tong L, Wang Y, Zhuo D, Huang L, Ni W, Zhang J, Huang M, Li D, Su B, Hu J. Hue Recognition Competitive Fluorescent Lateral Flow Immunoassay for Aflatoxin M 1 Detection with Improved Visual and Quantitative Performance. Anal Chem 2022; 94:10865-10873. [DOI: 10.1021/acs.analchem.2c02020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jing Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Chenxing Jiang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Jingrui Yuan
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Lu Tong
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Yang Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Dinglv Zhuo
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Liang Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Weihong Ni
- Hangzhou Institute for Food and Drug Control, Hangzhou 310022, PR China
| | - Jiafeng Zhang
- Hangzhou Institute for Food and Drug Control, Hangzhou 310022, PR China
| | - Mei Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Daquan Li
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
| | - Bin Su
- Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, PR China
| | - Jun Hu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, PR China
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13
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Emergence of dyestuff chemistry-encoded signal tracers in immunochromatographic assays: Fundamentals and recent food applications. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.05.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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14
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Zha C, An X, Zhang J, Wei L, Zhang Q, Yang Q, Li F, Sun X, Guo Y. Indirect signal amplification strategy with a universal probe-based lateral flow immunoassay for the rapid quantitative detection of fumonisin B1. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:708-716. [PMID: 35103722 DOI: 10.1039/d1ay01625c] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Fumonisin B1 (FB1) is a serious threat to the health of humans and animals. Herein, a lateral flow immunoassay based on universal detection probes (goat anti-mouse IgG@Eu) that could combine with any mouse monoclonal antibody was applied to detect FB1 in corn and feed. Compared with that based on direct monoclonal antibody labeling, this assay maintained bioactivity and saved consumption of monoclonal antibodies with the indirect signal amplification effect. The results indicated that this assay had higher sensitivity with a limit of detection (LOD) of 0.025 and 0.097 ng mL-1 (0.50 and 1.94 ng g-1 based on sample weight) in corn and feed, respectively. The detection range was about 1-50 ng mL-1 (20-1000 ng g-1 based on sample weight). In addition, the evaluation proved that it had good specificity, accuracy, precision, and applicability, and thus was suitable for the rapid and low-cost detection of fumonisin B1.
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Affiliation(s)
- Chuanyun Zha
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Xingshuang An
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Jiali Zhang
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Lin Wei
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Qi Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, Wuhan 430062, China
| | - Qingqing Yang
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Falan Li
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Xia Sun
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
| | - Yemin Guo
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong Province, China
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15
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Wang Z, Zhao J, Xu X, Guo L, Xu L, Sun M, Hu S, Kuang H, Xu C, Li A. An Overview for the Nanoparticles-Based Quantitative Lateral Flow Assay. SMALL METHODS 2022; 6:e2101143. [PMID: 35041285 DOI: 10.1002/smtd.202101143] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/27/2021] [Indexed: 06/14/2023]
Abstract
The development of the lateral flow assay (LFA) has received much attention in both academia and industry because of their broad applications to food safety, environmental monitoring, clinical diagnosis, and so forth. The user friendliness, low cost, and easy operation are the most attractive advantages of the LFA. In recent years, quantitative detection has become another focus of LFA development. Here, the most recent studies of quantitative LFAs are reviewed. First, the principles and corresponding formats of quantitative LFAs are introduced. In the biomaterial and nanomaterial sections, the detection, capture, and signal amplification biomolecules and the optical, fluorescent, luminescent, and magnetic labels used in LFAs are described. The invention of dedicated strip readers has drawn further interest in exploiting the better performance of LFAs. Therefore, next, the development of dedicated reader devices is described and the usefulness and specifications of these devices for LFAs are discussed. Finally, the applications of LFAs in the detection of metal ions, biotoxins, pathogenic microorganisms, veterinary drugs, and pesticides in the fields of food safety and environmental health and the detection of nucleic acids, biomarkers, and viruses in clinical analyses are summarized.
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Affiliation(s)
- Zhongxing Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Jing Zhao
- Department of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, Jiangsu, 214122, China
| | - Xinxin Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Lingling Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Liguang Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Maozhong Sun
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Shudong Hu
- Department of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, Jiangsu, 214122, China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Chuanlai Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, No. 1800, Lihu Road, Wuxi, Jiangsu, 214122, P. R. China
| | - Aike Li
- Academy of National Food and Strategic Reserves Administration, No. 11, Baiwanzhuang Street, Beijing, 100037, P. R. China
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16
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Sun J, Li W, Zhu X, Jiao S, Chang Y, Wang S, Dai S, Xu R, Dou M, Li Q, Li J. A Novel Multiplex Mycotoxin Surface-Enhanced Raman Spectroscopy Immunoassay Using Functional Gold Nanotags on a Silica Photonic Crystal Microsphere Biochip. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:11494-11501. [PMID: 34530613 DOI: 10.1021/acs.jafc.1c03469] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
A novel multiplex mycotoxin surface-enhanced Raman spectroscopy (SERS) immunoassay was established for the first time on different artificial antigen-modified silica photonic crystal microspheres (SPCMs), which can be integrated into a biochip array to achieve multiplex detection using corresponding antibody-functionalized gold nanoparticles (AuNPs) as the SERS nanotag. The unique optical structure of SPCMs is helpful to find the detection spots easily, accommodate a large amount of probe molecules, and enhance the Raman signal intensity. Such enhancement was confirmed by the simulation result, showing the electric field enhancing effect in SPCMs with AuNPs being 7 times. A competitive SERS immunoassay was established using antigen-modified SPCMs and mycotoxins to compete for binding antibody-functionalized SERS nanotags, displaying broad linear detection ranges of 0.001-0.1 ng/mL for aflatoxin B1 (AFB1), 0.01-10 ng/mL for ochratoxin A (OTA), and 0.001-0.1 ng/mL for zearalenone (ZEN) and low detection limits of 0.82 pg/mL for AFB1, 1.43 pg/mL for OTA, and 1.00 pg/mL for ZEN. In the spiked cereal samples, recovery rates of the method were measured in the range of 70.35-118.04% for the three mycotoxins, which was in agreement with that of the traditional enzyme-linked immunosorbent assay method. The SERS immunoassay for mycotoxin detection also showed high specificity and good repeatability and reproducibility. The new microsphere-based SERS immunoassay biochip only requires a one-step reaction and overcomes the disadvantages of fluorescence and chemiluminescence background signals. The work paves the way for further developing SERS-based microsphere suspension arrays for new targets.
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Affiliation(s)
- Jialong Sun
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Wei Li
- Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S3 7HQ, United Kingdom
| | - Xuerui Zhu
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Saisai Jiao
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Yunwei Chang
- School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China
| | - Siwei Wang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Shijie Dai
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Ruimin Xu
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Menghua Dou
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Qianjin Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Jianlin Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
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17
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Zhou S, Xu L, Kuang H, Xiao J, Xu C. Immunoassays for rapid mycotoxin detection: state of the art. Analyst 2021; 145:7088-7102. [PMID: 32990695 DOI: 10.1039/d0an01408g] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The widespread presence of mycotoxins in nature not only poses a huge health risk to people in terms of food but also causes incalculable losses to the agricultural economy. As a rapidly developing technology in recent years, the mycotoxin immunoassay technology has approached or even surpassed the traditional chromatography technology in some aspects. Using this approach, the lateral flow immunoassay (LFIA) has attracted the interest of researchers due to its user-friendly operation, short time consumption, little interference, low cost, and ability to process a large number of samples at the same time. This paper provides an overview of the immunogens commonly used for mycotoxins, the development of antibodies, and the use of gold nanoparticles, quantum dots, carbon nanoparticles, enzymes, and fluorescent microsphere labeling materials for the construction of LFIAs to improve detection sensitivity. The analytical performance, detection substrates, detection limits or detection ranges of LFIA for mycotoxins have been listed in recent years. Finally, we describe the future outlook for the field, predicting that portable mobile detection devices and simultaneous quantitative detection of multiple mycotoxins is one of the important directions for future development.
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Affiliation(s)
- Shengyang Zhou
- State Key Laboratory of Food Science and Technology, Jiangnan University, China.
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18
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Ng HY, Lee WC, Kung CT, Li LC, Lee CT, Fu LM. Recent Advances in Microfluidic Devices for Contamination Detection and Quality Inspection of Milk. MICROMACHINES 2021; 12:558. [PMID: 34068982 PMCID: PMC8156775 DOI: 10.3390/mi12050558] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/05/2021] [Accepted: 05/11/2021] [Indexed: 02/08/2023]
Abstract
Milk is a necessity for human life. However, it is susceptible to contamination and adulteration. Microfluidic analysis devices have attracted significant attention for the high-throughput quality inspection and contaminant analysis of milk samples in recent years. This review describes the major proposals presented in the literature for the pretreatment, contaminant detection, and quality inspection of milk samples using microfluidic lab-on-a-chip and lab-on-paper platforms in the past five years. The review focuses on the sample separation, sample extraction, and sample preconcentration/amplification steps of the pretreatment process and the determination of aflatoxins, antibiotics, drugs, melamine, and foodborne pathogens in the detection process. Recent proposals for the general quality inspection of milk samples, including the viscosity and presence of adulteration, are also discussed. The review concludes with a brief perspective on the challenges facing the future development of microfluidic devices for the analysis of milk samples in the coming years.
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Affiliation(s)
- Hwee-Yeong Ng
- Division of Nephrology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan; (H.-Y.N.); (W.-C.L.); (L.-C.L.); (C.-T.L.)
| | - Wen-Chin Lee
- Division of Nephrology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan; (H.-Y.N.); (W.-C.L.); (L.-C.L.); (C.-T.L.)
| | - Chia-Te Kung
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan;
| | - Lung-Chih Li
- Division of Nephrology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan; (H.-Y.N.); (W.-C.L.); (L.-C.L.); (C.-T.L.)
| | - Chien-Te Lee
- Division of Nephrology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan; (H.-Y.N.); (W.-C.L.); (L.-C.L.); (C.-T.L.)
| | - Lung-Ming Fu
- Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan
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19
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Wang L, He K, Wang X, Wang Q, Quan H, Wang P, Xu X. Recent progress in visual methods for aflatoxin detection. Crit Rev Food Sci Nutr 2021; 62:7849-7865. [PMID: 33955294 DOI: 10.1080/10408398.2021.1919595] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Aflatoxins (AFs) contamination in food and agricultural products poses a significant threat to human health. Sensitive and accurate detection of AFs provides a strong guarantee for ensuring food safety. Conventional chromatographic-based or mass spectrum methods, which rely on bulky instrument and skilled personnel, are not suitable for on-site surveillance. By contrast, visual detections which possess the merits of rapidity and sophisticated instrument-free present an excellent potential for the on-site detection of AFs. This review intends to summarize the latest development of visual methods for AFs detection, including paper-based tests, chromogenic reactions, and luminescent methods. Emerging technologies, like nanotechnology, DNAzymes, and aptamers combined with these visual methods are introduced. The basic principles, features, and application advantages of each type of visual methods are discussed. The biggest challenges and perspectives on their future trends are also addressed.
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Affiliation(s)
- Liu Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Kaiyu He
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xinquan Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Qiang Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Haoran Quan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Peilong Wang
- Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiahong Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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20
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Hu X, Zhang P, Wang D, Jiang J, Chen X, Liu Y, Zhang Z, Tang BZ, Li P. AIEgens enabled ultrasensitive point-of-care test for multiple targets of food safety: Aflatoxin B 1 and cyclopiazonic acid as an example. Biosens Bioelectron 2021; 182:113188. [PMID: 33799030 DOI: 10.1016/j.bios.2021.113188] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/09/2021] [Accepted: 03/18/2021] [Indexed: 01/04/2023]
Abstract
Food safety is currently a significant issue for human life and health. Various fluorescent nanomaterials have been applied in the point-of-care test (POCT) for food safety as labeling materials. However, previous fluorescent nanomaterials can cause aggregation-caused quenching (ACQ), thus reducing the detection sensitivity. Conversely, aggregation-induced emission luminogens (AIEgens) are promising candidates for POCT in the food safety field because they can enhance detection sensitivity and throughput. Mycotoxins, such as aflatoxin B1 (AFB1) and cyclopiazonic acid (CPA), are a primary threat to human life and health and a significant food safety issue, and their on-site detection from farm to table is needed. Herein, an ultrasensitive point-of-care test was developed based on TPE-Br, a blue-emissive tetraphenylethylene derivative AIEgen. Under optimal conditions, this AIEgen-based lateral-flow biosensor (ALFB) allowed for a rapid response of 8 min toward AFB1 and CPA detection, with considerable sensitivities of 0.003 and 0.01 ng/mL in peanut matrices, respectively. In peanut matrices, the recoveries were 90.3%-110.0% for both mycotoxins, with relative standard deviations (RSDs) below 6%. The ALFB was further validated via UPLC-MS/MS using spiked peanut samples. AIEgens open an avenue for on-site, ultrasensitive, high-throughput detection methods and can be extensively used in point-of-care tests in food safety.
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Affiliation(s)
- Xiaofeng Hu
- National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China
| | - Pengfei Zhang
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Du Wang
- National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China
| | - Jun Jiang
- National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China
| | - Xiaomei Chen
- National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China
| | - Yong Liu
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Zhaowei Zhang
- National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China.
| | - Ben Zhong Tang
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong, China.
| | - Peiwu Li
- National Reference Laboratory for Agricultural Testing (Biotoxin), Key Laboratory of Biology and Genetic Improvement of Oil Crops, Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China.
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21
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Li G, Liu C, Zhang X, Luo P, Lin G, Jiang W. Highly photoluminescent carbon dots-based immunosensors for ultrasensitive detection of aflatoxin M 1 residues in milk. Food Chem 2021; 355:129443. [PMID: 33799265 DOI: 10.1016/j.foodchem.2021.129443] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 02/17/2021] [Accepted: 02/21/2021] [Indexed: 11/29/2022]
Abstract
Here, a facile hydrothermal method was used to synthesize highly photoluminescent N-doped carbon dots, and the quantum yields reached 97.1%. Then, a label-free immunosensor based on the inner filter effect of carbon dots was developed for ultrasensitive detection of aflatoxin M1 residues in milk. The detection limit was 0.0186 ng/mL (equivalents to 18.10 ng/kg), which satisfied the most stringent maximum tolerable limit value of 25 ng/kg. Besides, the immunosensor showed a good linear relationship from 0.003 ng/mL to 0.81 ng/mL, and the average recoveries ranged from 79.6% to 112.5% for spiked milk samples, with relative standard deviations ranging from 6.7% to 13.3%. Compared with other immunoassays, the inner filter effect-based immunosensor incorporating fluorescent detection into conventional enzymatic cascade amplification systems and could be a reliable on-site screening method for aflatoxin M1 residue analysis.
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Affiliation(s)
- Guangming Li
- Department of Nutrition and Food Hygiene, School of Public Health, Health Science Center, Shenzhen University, Shenzhen 518060, China; State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Changchun 130022, China
| | - Chen Liu
- Shenzhen People's Hospital, Shenzhen 518020, China
| | - Xingcai Zhang
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Pengjie Luo
- Key Laboratory of Food Safety Risk Assessment, Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China
| | - Guimiao Lin
- Department of Nutrition and Food Hygiene, School of Public Health, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Wenxiao Jiang
- Department of Nutrition and Food Hygiene, School of Public Health, Health Science Center, Shenzhen University, Shenzhen 518060, China; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
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22
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Su L, Wang L, Xu J, Wang Z, Yao X, Sun J, Wang J, Zhang D. Competitive Lateral Flow Immunoassay Relying on Au-SiO 2 Janus Nanoparticles with an Asymmetric Structure and Function for Furazolidone Residue Monitoring. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:511-519. [PMID: 33373219 DOI: 10.1021/acs.jafc.0c06016] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Gold nanoparticles (AuNPs) are the most commonly used signal materials in lateral flow immunoassay (LFIA). However, the assay sensitivity of traditional AuNP-based LFIA is usually limited by the incomplete competition between free target analytes and immobilized antigens for the binding of AuNP-labeled antibodies. To unfreeze this limitation, here, asymmetric Au-SiO2 Janus NPs (about 66 nm) were designed and synthesized. Au-SiO2 Janus NPs can assemble into snowman-like anisotropic structures and combine two different physicochemical properties at their opposite sides, where the AuNP side mainly possesses the antibody conjugating and signal providing functions and the SiO2 side primarily offers the stable function. In virtue of the unique asymmetric nanostructure, only the AuNP side can interact with target analytes by specific antigen-antibody interactions, which could significantly improve the efficiency of competition. Selecting furazolidone as a model analyte, the immunoassay biosensor showed a limit of detection as low as 0.08 ng/mL, 10-fold decreased than that of the AuNPs-LFIA. Moreover, the Au-SiO2 Janus NP lateral flow immunoassay was well applied in chicken, pork, honey, and beef food samples with visual detection limits of 0.8 ng/g, 0.16 ng/g, 0.4 ng/mL, and 0.16 ng/g, respectively. The Au-SiO2 Janus NPs possess the advantages of both materials, which will broaden their applications as a potential alternative in the rapid and sensitive detection of antibiotic residues.
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Affiliation(s)
- Lihong Su
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
| | - Lulu Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
| | - Jingke Xu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
| | - Zonghan Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
| | - Xiaolin Yao
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
| | - Jing Sun
- Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, Qinghai, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Xianyang 712100, Shaanxi, China
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23
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Li J, Cai T, Li W, Li W, Song L, Li Q, Lv G, Sun J, Jiao S, Wang S, Jin Y, Zheng T. Highly Sensitive Simultaneous Detection of Multiple Mycotoxins Using a Protein Microarray on a TiO 2-Modified Porous Silicon Surface. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:528-536. [PMID: 33377779 DOI: 10.1021/acs.jafc.0c06859] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
A new protein microarray method for multiplex mycotoxin detection in parallel has been established on a stable TiO2-modified porous silicon (PSi) surface. A typical competitive immunoassay microarray protocol has been developed for simultaneous detection of multiplex mycotoxins including aflatoxin B1 (AFB1), ochratoxin A (OTA), and fumonisin B1 (FB1) on the TiO2-PSi surface. The epoxy groups were selected to modify the surface of a TiO2-PSi wafer for the immobilization of artificial antigens of mycotoxins because of their high signal-to-noise ratios. Under optimal conditions, the developed method showed wide linear detection ranges of 0.01-1 ng/mL for OTA, 0.001-1 ng/mL for AFB1, and 0.01-1 ng/mL for FB1 and low limit of detections (LODs) of 0.433 ng/mL for OTA, 0.243 ng/mL for AFB1, and 0.093 ng/mL for FB1. The microarray method can specifically identify the three mycotoxins and their analogues. The recovery rates in real samples were within 75-120%, which were in agreement with that of the classical ELISA method. The new method has great application potential for rapid, sensitive, and high-throughput screening of multiplex mycotoxins and other target molecules.
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Affiliation(s)
- Jianlin Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Tingting Cai
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Wei Li
- Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S3 7HQ, U.K
| | - Weiwei Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Laicui Song
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Qianjin Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Guangping Lv
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Jialong Sun
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Saisai Jiao
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Siwei Wang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Yu Jin
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Tiesong Zheng
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
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24
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Lai W, Guo J, Qiao Z, Chen X, Wang S, Wu L, Cai Q, Ye S, Lin Y, Tang D. A novel colorimetric immunoassay for sensitive monitoring of ochratoxin A based on an enzyme-controlled citrate-iron( iii) chelating system. NEW J CHEM 2021. [DOI: 10.1039/d1nj02291a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Schematic illustration of an enzyme-controlled citrate-iron(iii) chelating system-based colorimetric immunoassay for sensitive determination of ochratoxin A.
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25
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Zhang H, Wang L, Yao X, Wang Z, Dou L, Su L, Zhao M, Sun J, Zhang D, Wang J. Developing a Simple Immunochromatography Assay for Clenbuterol with Sensitivity by One-Step Staining. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:15509-15515. [PMID: 33331779 DOI: 10.1021/acs.jafc.0c05972] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
An innovative lateral flow competition immunoassay (LFCIA) for detecting clenbuterol (CL) was developed by employing the advantages of the coomassie brilliant blue (CBB) staining method. An antibody stained by CBB was used both as a recognition reagent and as a chromogenic probe, enabling the simple but sensitive LFCIA of CL. The CBB-based LFCIA exhibited sensitivity for CL with a detection limit of 2 ng mL-1. Furthermore, this strategy was preliminarily verified by screening for CL in milk, pork tenderloin, and swine liver with recoveries ranging from 81 to 102%. Compared with conventional LFCIAs, the use of CBB as a signal label not only avoided the complicated material synthesis and surface modification process but also simplified the cross-linking with antibodies, meanwhile reducing the steric hindrance and increasing the possibility of immune recognition reactions, which was propitious for the effective utilization of antibodies. Taking advantages of the simplicity, rapidity, and cost-effectiveness, the CBB-based LFCIA may have potential for on-demand monitoring of general harmful small molecules by changing the kind of the staining antibody.
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Affiliation(s)
- Han Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Lulu Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Xiaolin Yao
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Zonghan Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Leina Dou
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Lihong Su
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Man Zhao
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Jing Sun
- Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 23 Xinning Road, Xining, Qinghai 810008, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
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26
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Zheng Q, Wu H, Jiang H, Yang J, Gao Y. Development of a Smartphone-Based Fluorescent Immunochromatographic Assay Strip Reader. SENSORS 2020; 20:s20164521. [PMID: 32823493 PMCID: PMC7471973 DOI: 10.3390/s20164521] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/03/2020] [Accepted: 08/11/2020] [Indexed: 01/29/2023]
Abstract
Fluorescence immunochromatographic assay (FICA) is a rapid immunoassay technique that has the characteristics of high precision and sensitivity. Although image FICA strip readers have the advantages of high portability and easy operation, the use of high-precision complementary metal oxide semiconductor (CMOS) image sensors leads to an increase in overall cost. Considering the popularity of CMOS image sensors in smartphones and their powerful processing functions, this work developed a smartphone-based FICA strip reader. An optical module suitable for the test strips with different fluorescent markers was designed by replacing the excitation light source and the light filter. An android smartphone was used for image acquisition and image denoising. Then, the test and control lines of the test strip image were recognized by the sliding window algorithm. Finally, the characteristic value of the strip image was calculated. A linear detection range from 10 to 5000 mIU/mL (R2 = 0.95) was obtained for human chorionic gonadotrophin with the maximum relative error less than 9.41%, and a linear detection range from 5 to 4000 pg/mL (R2 = 0.99) was obtained for aflatoxin B1, with the maximum relative error less than 12.71%. Therefore, the smartphone-based FICA strip reader had high portability, versatility, and accuracy.
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Affiliation(s)
- Qi Zheng
- Zhicheng College, Fuzhou University, Fuzhou 350002, China;
- Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou 350108, China; (H.W.); (H.J.); (J.Y.)
| | - Huihuang Wu
- Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou 350108, China; (H.W.); (H.J.); (J.Y.)
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
| | - Haiyan Jiang
- Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou 350108, China; (H.W.); (H.J.); (J.Y.)
| | - Jiejie Yang
- Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou 350108, China; (H.W.); (H.J.); (J.Y.)
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
| | - Yueming Gao
- Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou 350108, China; (H.W.); (H.J.); (J.Y.)
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
- Correspondence: ; Tel.: +86-1359-906-7568
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27
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Jiang D, Huang C, Shao L, Wang X, Jiao Y, Li W, Chen J, Xu X. Magneto-controlled aptasensor for simultaneous detection of ochratoxin A and fumonisin B1 using inductively coupled plasma mass spectrometry with multiple metal nanoparticles as element labels. Anal Chim Acta 2020; 1127:182-189. [PMID: 32800122 DOI: 10.1016/j.aca.2020.06.057] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 06/19/2020] [Accepted: 06/23/2020] [Indexed: 02/06/2023]
Abstract
The simultaneous detection of multiple mycotoxins is important for food safety. Here, a magneto-controlled aptasensor for quantitative analysis of ochratoxin A (OTA) and fumonisin B1 (FB1) using inductively coupled plasma mass spectrometry (ICP-MS) with multiple metal nanoparticles as element labels was proposed. Firstly, the OTA aptamer (Apt1) and the FB1 aptamer (Apt2) immobilized on the magnetic beads (MBs) were hybridized with probe DNA1-CdSe quantum dots (pDNA1-QDs) and probe DNA2-Ag nanoparticles (pDNA2-Ag NPs) labels, producing the MBs-Apt1-pDNA1-QDs and MBs-Apt2-pDNA2-Ag NPs conjugates, respectively. Then, the MBs-Apt1-OTA and MBs-Apt2-FB1 conjugates were generated with the addition of targets, resulting the pDNA1-QDs and pDNA2-Ag NPs labels released into the solutions. Finally, the signal intensities of 111Cd and 107Ag were detected by ICP-MS, achieving limits of detection of 0.10 and 0.30 ng mL-1 for OTA and FB1, respectively. The assay showed high specificity and succeeded in wheat flour. The method provides an ideal model for sensitive analysis of multiple mycotoxins in food samples.
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Affiliation(s)
- Dafeng Jiang
- Department of Physical and Chemical Testing, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, 250014, Jinan, PR China
| | - Chao Huang
- School of Chemistry and Chemical Engineering, Shandong University, 250100, Jinan, PR China
| | - Lijun Shao
- Department of Physical and Chemical Testing, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, 250014, Jinan, PR China
| | - Xiaolin Wang
- Department of Physical and Chemical Testing, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, 250014, Jinan, PR China
| | - Yanni Jiao
- Department of Physical and Chemical Testing, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, 250014, Jinan, PR China
| | - Wei Li
- Department of Physical and Chemical Testing, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, 250014, Jinan, PR China
| | - Jindong Chen
- Department of Physical and Chemical Testing, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, 250014, Jinan, PR China.
| | - Xiaowen Xu
- School of Chemistry and Chemical Engineering, Shandong University, 250100, Jinan, PR China.
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28
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Fiber Optic Particle Plasmon Resonance-Based Immunoassay Using a Novel Multi-Microchannel Biochip. SENSORS 2020; 20:s20113086. [PMID: 32485995 PMCID: PMC7313708 DOI: 10.3390/s20113086] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/21/2020] [Accepted: 05/28/2020] [Indexed: 12/27/2022]
Abstract
A novel multi-microchannel biochip fiber-optic particle plasmon resonance (FOPPR) sensor system for the simultaneous detection of multiple samples. The system integrates a novel photoelectric system, a lock-in module, and an all-in-one platform incorporating optical design and mechanical design together to improve system stability and the sensitivity of the FOPPR sensor. The multi-microchannel FOPPR biochip has been developed by constructing a multi-microchannel flow-cell composed of plastic material to monitor and analyze five samples simultaneously. The sensor system requires only 30 μL of sample for detection in each microchannel. Moreover, the total size of the multi-microchannel FOPPR sensor chip is merely 40 mm × 30 mm × 4 mm; thus, it is very compact and cost-effective. The analysis was based on calibration curves obtained from real-time sensor response data after injection of sucrose solution, streptavidin and anti-dinitrophenyl (anti-DNP) antibody of known concentrations over the chips. The results show that the multi-microchannel FOPPR sensor system not only has good reproducibility (coefficient of variation (CV) < 10%), but also excellent refractive index resolution (6.23 ± 0.10 × 10−6 refractive index unit (RIU)). The detection limits are 2.92 ± 0.28 × 10−8 g/mL (0.53 ± 0.01 nM) and 7.48 ± 0.40 × 10−8 g/mL (0.34 ± 0.002 nM) for streptavidin and anti-DNP antibody, respectively.
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29
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Li H, Wang D, Tang X, Zhang W, Zhang Q, Li P. Time-Resolved Fluorescence Immunochromatography Assay (TRFICA) for Aflatoxin: Aiming at Increasing Strip Method Sensitivity. Front Microbiol 2020; 11:676. [PMID: 32435234 PMCID: PMC7219281 DOI: 10.3389/fmicb.2020.00676] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/24/2020] [Indexed: 12/19/2022] Open
Abstract
Aflatoxin is the most harmful mycotoxin that is ubiquitous in foods and agro-products. Because of its high toxicity, maximum admissible levels of aflatoxins (AF) is regulated worldwide, and monitoring of their occurrence in several commodities is mandatory for assuring food safety and consumers' health. Considering that the strip method is very simple and convenient for users, in order to enhance strip assay's sensitivity, a lot of time-resolved fluorescence immunochromatography assays (TRFICAs) were developed recently with increasing several times of assay sensitivity compared with traditional gold nanoparticle-based strip assay (GNP-SA). This review briefly describes the newly developed TRFICA for aflatoxin determination, including TRFICA for aflatoxin B1 (AFB1) detection, TRFICA for aflatoxin M1 (AFM1) detection, TRFICA for total aflatoxins (AFB1 + B2 + G1 + G2) detection and the latest identification-nanobody-based TRFICA for aflatoxin detection. The application of TRFICA for aflatoxin detection in different agro-products is also concluded in this review. Reasonably, TRFICA has been becoming one of the most important tool for monitoring aflatoxin in foods and agro-products.
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Affiliation(s)
- Hui Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, China
- Laboratory of Quality & Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
- Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China
| | - Du Wang
- Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China
| | - Xiaoqian Tang
- Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China
| | - Wen Zhang
- Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China
| | - Qi Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, China
- Laboratory of Quality & Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
- Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China
| | - Peiwu Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, China
- Laboratory of Quality & Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
- Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China
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30
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Zhao W, Tian S, Huang L, Liu K, Dong L, Guo J. A smartphone-based biomedical sensory system. Analyst 2020; 145:2873-2891. [PMID: 32141448 DOI: 10.1039/c9an02294e] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Disease diagnostics, food safety monitoring and environmental quality monitoring are the key means to safeguard human health. However, conventional detection devices for health care are costly, bulky and complex, restricting their applications in resource-limited areas of the world. With the rapid development of biosensors and the popularization of smartphones, smartphone-based sensing systems have emerged as novel detection devices that combine the sensitivity of biosensors and diverse functions of smartphones to provide a rapid, low-cost and convenient detection method. In these systems, a smartphone is used as a microscope to observe and count cells, as a camera to record fluorescence images, as an analytical platform to analyze experimental data, and as an effective tool to connect detection devices and online doctors. These systems are widely used for cell analysis, biochemical analysis, immunoassays, and molecular diagnosis, which are applied in the fields of disease diagnostics, food safety monitoring and environmental quality monitoring. Therefore, we discuss four types of smartphone-based sensing systems in this review paper, specifically in terms of the structure, performance and efficiency of these systems. Finally, we give some suggestions for improvement and future prospective trends.
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Affiliation(s)
- Wenhao Zhao
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
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31
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Huang L, Tian S, Zhao W, Liu K, Ma X, Guo J. Multiplexed detection of biomarkers in lateral-flow immunoassays. Analyst 2020; 145:2828-2840. [DOI: 10.1039/c9an02485a] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Multiplexed detection of biomarkers, i.e., simultaneous detection of multiple biomarkers in a single assay, can enhance diagnostic precision, improve diagnostic efficiency, reduce diagnostic cost, and alleviate pain of patients.
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Affiliation(s)
- Lei Huang
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Shulin Tian
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Wenhao Zhao
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Ke Liu
- School of Automation Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
| | - Xing Ma
- State Key Lab of Advanced Welding and Joining
- Harbin Institute of Technology (Shenzhen)
- Shenzhen 518055
- China
- Ministry of Education Key Lab of Micro-systems and Micro-structures Manufacturing
| | - Jinhong Guo
- School of Communication and Information Engineering
- University of Electronic Science and Technology of China
- Chengdu 611731
- P. R. China
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32
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An X, Shi X, Zhang H, Yao Y, Wang G, Yang Q, Xia L, Sun X. An electrochemical immunosensor based on a combined amplification strategy with the GO–CS/CeO2–CS nanocomposite for the detection of aflatoxin M1. NEW J CHEM 2020. [DOI: 10.1039/c9nj04804a] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Herein, a sensitive electrochemical immunosensor modified with graphene oxide–chitosan (GO–CS) and cerium oxide–chitosan (CeO2–CS) using screen-printed electrodes (SPEs) was developed for the determination of aflatoxin M1(AFM1) in milk.
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Affiliation(s)
- Xingshuang An
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Xiaojie Shi
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Hui Zhang
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Yao Yao
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Guangxian Wang
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Qingqing Yang
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Lianming Xia
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
| | - Xia Sun
- School of Agricultural Engineering and Food Science
- Shandong University of Technology
- Zibo 255049
- China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability
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33
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Liu L, Yang D, Liu G. Signal amplification strategies for paper-based analytical devices. Biosens Bioelectron 2019; 136:60-75. [DOI: 10.1016/j.bios.2019.04.043] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 04/15/2019] [Accepted: 04/21/2019] [Indexed: 12/26/2022]
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34
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Guo M, Wu X, Song S, Zheng Q, Luo P, Kuang H, Sun J, Ye L. Ultrasensitive anti-melamine monoclonal antibody and its use in the development of an immunochromatographic strip. FOOD AGR IMMUNOL 2019. [DOI: 10.1080/09540105.2019.1590318] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Mengyuan Guo
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Xiaoling Wu
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Shanshan Song
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | | | - Pengjie Luo
- China National Center for Food Safety Risk Assessment, NHC Key Laboratory of Food Safety Risk Assessment, Beijing, People’s Republic of China
| | - Hua Kuang
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Jiajia Sun
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Liya Ye
- State Key Lab of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
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