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Dadmehr M, Shalileh F, Hosseini M. Enhancing mycotoxins detection through quantum dots-based optical biosensors. NANOTECHNOLOGY 2024; 36:042004. [PMID: 39508269 DOI: 10.1088/1361-6528/ad8c4d] [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: 08/05/2024] [Accepted: 10/29/2024] [Indexed: 11/15/2024]
Abstract
Quantum dot-based optical biosensors represent a significant advancement for detection of mycotoxins that are toxic secondary metabolites produced by fungi and pose serious health risk effects. This review highlights the importance of detection of filamentous fungi such as Aspergillus, Penicillium, Fusarium, Claviceps, and Alternaria in mycotoxin production, leading to contamination of agricultural products and subsequent health issues. Conventional detection methods such as thin-layer chromatography, high-performance liquid chromatography, gas chromatography, and enzyme-linked immunosorbent assay are discussed with their respective advantages and limitations. Then the innovative use of quantum dots (QDs) in fabrication of biosensors is discussed in the present review, emphasizing their unique optical properties, such as size-tunable fluorescence and high photostability. These properties enable the development of highly sensitive and specific biosensors for mycotoxin detection. The application of QD-based biosensors, based on their applied bioreceptors including antibodies, molecularly imprinted polymers and aptamer, is explored through various detection strategies and recent advancements. The review concludes by underscoring the potential of QD-based biosensors in providing portable, cost-effective, and efficient solutions for real-time monitoring of mycotoxin for enhancing food safety and protecting public health.
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Affiliation(s)
- Mehdi Dadmehr
- Department of Biology, Payame Noor University, Tehran, Iran
| | - Farzaneh Shalileh
- Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran
| | - Morteza Hosseini
- Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran
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2
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Fujiuchi K, Aoki N, Ohtake T, Iwashita T, Kawasaki H. Transitions in Immunoassay Leading to Next-Generation Lateral Flow Assays and Future Prospects. Biomedicines 2024; 12:2268. [PMID: 39457581 PMCID: PMC11504701 DOI: 10.3390/biomedicines12102268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 10/03/2024] [Accepted: 10/04/2024] [Indexed: 10/28/2024] Open
Abstract
In the field of clinical testing, the traditional focus has been on the development of large-scale analysis equipment designed to process high volumes of samples with fully automatic and high-sensitivity measurements. However, there has been a growing demand in recent years for the development of analytical reagents tailored to point-of-care testing (POCT), which does not necessitate a specific location or specialized operator. This trend is epitomized using the lateral flow assay (LFA), which became a cornerstone during the 2019 pandemic due to its simplicity, speed of delivering results-within about 10 min from minimal sample concentrations-and user-friendly design. LFAs, with their paper-based construction, combine cost-effectiveness with ease of disposal, addressing both budgetary and environmental concerns comprehensively. Despite their compact size, LFAs encapsulate a wealth of technological ingenuity, embodying years of research and development. Current research is dedicated to further evolving LFA technology, paving the way for the next generation of diagnostic devices. These advancements aim to redefine accessibility, empower individuals, and enhance responsiveness to public health challenges. The future of LFAs, now unfolding, promises even greater integration into routine health management and emergency responses, underscoring their critical role in the evolution of decentralized and patient-centric healthcare solutions. In this review, the historical development of LFA and several of the latest LFA technologies using catalytic amplification, surface-enhanced Raman scattering, heat detection, electron chemical detections, magnetoresistance, and detection of reflected electrons detection are introduced to inspire readers for future research and development.
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Affiliation(s)
- Koyu Fujiuchi
- NanoSuit Research Laboratory, Institute of Photonics Medicine, Division of Preeminent Bioimaging Research, Hamamatsu University School of Medicine, Hamamatsu 431-3125, Japan;
- Research and Development Department, TAUNS Laboratories, Inc., Izunokuni-shi 410-2325, Japan; (N.A.); (T.O.)
| | - Noriko Aoki
- Research and Development Department, TAUNS Laboratories, Inc., Izunokuni-shi 410-2325, Japan; (N.A.); (T.O.)
| | - Tetsurou Ohtake
- Research and Development Department, TAUNS Laboratories, Inc., Izunokuni-shi 410-2325, Japan; (N.A.); (T.O.)
| | - Toshihide Iwashita
- Department of Regenerative and Infectious Pathology, Hamamatsu University School of Medicine, Hamamatsu 431-3125, Japan;
| | - Hideya Kawasaki
- NanoSuit Research Laboratory, Institute of Photonics Medicine, Division of Preeminent Bioimaging Research, Hamamatsu University School of Medicine, Hamamatsu 431-3125, Japan;
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Shen XA, Zhou H, Chen X, Wu J, Su Y, Huang X, Xiong Y. Janus plasmonic-aggregation induced emission nanobeads as high-performance colorimetric-fluorescent probe of immunochromatographic assay for the ultrasensitive detection of staphylococcal enterotoxin B in milk. Biosens Bioelectron 2024; 261:116458. [PMID: 38852321 DOI: 10.1016/j.bios.2024.116458] [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: 03/01/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 06/11/2024]
Abstract
Herein, a colorimetric-fluorescent hybrid bifunctional nanobead with Janus structure (J-cf-HBN) was synthesized via one-pot microemulsification. Oleylamine-coated AuNPs and aggregation-induced emission luminogens (AIEgens) were suggested as building blocks to obtain high-performance colorimetric-fluorescent signals. The as-prepared J-cf-HBNs were used as a signal amplification probe to construct an immunochromatographic assay (J-cf-HBNs-ICA) platform for the ultrasensitive detection of staphylococcal enterotoxin B (SEB) in milk samples. Owing to the rational spatial distribution of AuNPs and AIEgens, the J-cf-HBNs present a highly retained photoluminescence and enhanced colorimetric signals. Combined with a pair of highly affinitive anti-SEB antibodies, the J-cf-HBN-ICA platform enabled the fast naked-eye visualization and fluorescent quantitative detection of SEB in various milk matrices. Given the advantages of the dual-mode high-performance J-cf-HBNs, the proposed strip achieved a high sensitivity for SEB qualitative determination with a visual limit of detection (LOD) of 1.56 ng mL-1 and exhibited ultrasensitivity for SEB quantitative detection with a LOD of 0.09 ng mL-1, which is 139-fold lower than that of ELISA using same antibodies. In conclusion, this work provides new insights into the construction of multimode immunochromatographic methods for food safety detection in the field.
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Affiliation(s)
- Xuan-Ang Shen
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China
| | - Haoxiang Zhou
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China
| | - Xirui Chen
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China
| | - Jingyu Wu
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China
| | - Yu Su
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China.
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China; Jiangxi Medicine Academy of Nutrition and Health Management, Nanchang, 330006, PR China
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang, 330047, PR China; Jiangxi Medicine Academy of Nutrition and Health Management, Nanchang, 330006, PR China; Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang, 330047, PR China.
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Li D, Ao L, Hu R, Zhang X, Huang L, Jiang C, Gao G, Shen Z, Hu J, Wang J. Kiwi-Inspired Rational Nanoarchitecture with Intensified and Discrete Magneto-Fluorescent Functionalities for Ultrasensitive Point-of-Care Immunoassay. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2402676. [PMID: 38847072 DOI: 10.1002/smll.202402676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/27/2024] [Indexed: 10/19/2024]
Abstract
Fluorescent lateral flow immunoassays (FLFIA) is a well-established rapid detection technique for quantitative analysis. However, achieving accurate analysis of biomarkers at the pg mL-1 level using FLFIA still poses challenges. Herein, an ultrasensitive FLFIA platform is reported utilizing a kiwi-type magneto-fluorescent silica nanohybrid (designated as MFS) that serves as both a target-enrichment substrate and an optical signal enhancement label. The spatially-layered architecture comprises a Fe3O4 core, an endocarp-fibers like dendritic mesoporous silica, seed-like quantum dots, and a kiwi-flesh like silica matrix. The MFS demonstrates heightened fluorescence brightness, swift magnetic response, excellent size uniformity, and dispersibility in water. Through liquid-phase capturing and fluorescence-enhanced signal amplification, as well as magnetic-enrichment sample amplification and magnetic-separation noise reduction, the MFS-based FLFIA is successfully applied to the detection of cardiac troponin I that achieved a limit of detection at 8.4 pg mL-1, tens of times lower than those of previously published fluorescent and colorimetric lateral flow immunoassays. This work offers insights into the strategic design of magneto-fluorescent synergetic signal amplification on LFIA platform and underscores their prospects in high-sensitive rapid and on-site diagnosis of biomarkers.
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Affiliation(s)
- Daquan Li
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Lijiao Ao
- Institute of Biomedical Engineering, The Second Clinical Medical College (Shenzhen People's Hospital) of Jinan University, Shenzhen, 518020, P. R. China
| | - Rong Hu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Xueqiang Zhang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Liang Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Chenxing Jiang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Guosheng Gao
- Department of Clinical Laboratory, Ningbo No.2 Hospital, Ningbo, 315010, P. R. China
| | - Zhenlu Shen
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Jun Hu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
| | - Jing Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
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Zhai S, Dong H, Wang H, Huang J, Li D, Li Z, Li Z, Li P, Zhang P, Zhao M, Sun X, Guo Y. Multifunctional nanoenzyme lateral flow immunoassay strip for rapid and ultrasensitive detection of carbofuran in vegetables. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135296. [PMID: 39059293 DOI: 10.1016/j.jhazmat.2024.135296] [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: 04/19/2024] [Revised: 07/15/2024] [Accepted: 07/21/2024] [Indexed: 07/28/2024]
Abstract
A lateral flow immunoassay strip (LFIAS) is one of the most frequently rapid test technologies for carbofuran (CAR). Nevertheless, the LFIAS has a poor quantitative capability and low sensitivity. And, it also requires often complex sample handling steps, making testing time longer. In this study, Fe3O4 nanoparticles were successively modified with MIL-100(Fe)-based metal-organic framework (MOF) and chloroplatinic acid hexahydrate to obtain a core-shell complex of Fe3O4-MOF-Pt. The complex had a peroxidase-mimicking activity catalytic function that enabled signal amplification and sensitivity enhancement. Upon coupling with carbofuran monoclonal antibody (CAR-mAb), the magnetic separation properties of the probe enabled target-specific enrichment. The LFIAS based on Fe3O4-MOF-Pt nanocomposites could detect CAR in the range of 0.25-50 ng mL-1 with a limit of detection (LOD) of 0.15 ng mL-1, enabling colorimetric and catalytic analysis. In addition, the method showed high specificity and stability for detecting CAR in various vegetables, and recovery rates of the spiked samples were 91.40%-102.40%. In conclusion, this study provided one-stop detection of "target enrichment-visual inspection". While lowering the LOD, it reduced the detection time and improved the detection efficiency. The multifunctional Fe3O4-MOF-Pt nanocomposite provides an idea for the construction of novel multifunctional probes to improve the detection performance of conventional LFIAS.
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Affiliation(s)
- Shengxi Zhai
- College 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
- College 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
| | - Jingcheng Huang
- College 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
| | - Donghan Li
- College 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
- College 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
| | - Zhaopeng Li
- College 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
- College 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
| | - Pengwei Zhang
- College 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
- College 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
- College 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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6
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Xing C, Li G, Zheng X, Li P, Yuan J, Yan W. Characterization of a Novel Monoclonal Antibody with High Affinity and Specificity against Aflatoxins: A Discovery from Rosetta Antibody-Ligand Computational Simulation. J Chem Inf Model 2024; 64:6814-6826. [PMID: 39157865 DOI: 10.1021/acs.jcim.4c00736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/20/2024]
Abstract
Aflatoxin B1 (AFB1) accumulates in crops, where it poses a threat to human health. To detect AFB1, anti-AFB1 monoclonal antibodies have been developed and are widely used. While the sensitivity and specificity of these antibodies have been extensively studied, information regarding the atomic-level docking of AFB1 (and its derivatives) with these antibodies is limited. Such information is crucial for understanding the key interactions that are required for high affinity and specificity in aflatoxin binding. First, a 3D comparative model of anti-AFB1 antibody (Ab-4B5G6) was predicted from the sequence using RosettaAntibody. We then utilized RosettaLigand to dock AFB1 onto ten homology models, producing a total of 10,000 binding modes. Interestingly, the best-scoring mode predicted strong interactions involving four sites within the heavy chain: ALA33, ASN52, HIS95, and TRP99. Importantly, these strong binding interactions exclusively involve the variable domain of the heavy chain. The best-scoring mode with AFB1 was also obtained through AF multimer combined with RosettaLigand, and two interactions at TRP and HIS were consistent with those found by Rosetta antibody-ligand computational simulation. The role of tryptophan in π interactions in antibodies was confirmed through mutation experiments, and the resulting mutant (W99A) exhibited a >1000-fold reduction in binding affinity for AFB1 and analogs, indicating the effect of tryptophan on the stability of CDR-H3 region. Additionally, we evaluated the binding of two glycolic acid-derived molecular derivatives (with impaired hydrogen bonding potential), and these derivatives (AFB2-GA and AFG2-GA) demonstrated a very weak binding affinity for Ab-4B5G6. The heavy chain was successfully isolated, and its sensitivity and specificity were consistent with those of the intact antibody. The homology models of variable heavy (VH) single-domain antibodies were established by RosettaAntibody, and the docking analysis revealed the same residues, including Ala, His, and Trp. Compared to the potential binding mode of fragment variable (FV) region, the results from a model of VH indicated that there are seven models involved in hydrophobic interaction with TYR32, which is usually referred to as polar amino acid and has both hydrophobic and hydrophilic features depending on the circumstances. Our work encompasses the entire process of Rosetta antibody-ligand computational simulation, highlighting the significance of variable heavy domain structural design in enhancing molecular interactions.
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Affiliation(s)
- Changrui Xing
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Guanglei Li
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Xin Zheng
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Peng Li
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Jian Yuan
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Wenjing Yan
- National Center of Meat Quality & Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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Wang C, Cheng Y, Yin X, Wu Q, Ma J, Zhang Q, Zhao L, Wang J, Zhang D. "Three-in-One": Ultrasensitive Lateral Flow Immunoassay Driven by Magnetic Enrichment and Photothermal Signal Amplification. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:18171-18180. [PMID: 39092884 DOI: 10.1021/acs.jafc.4c04261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Conventional lateral flow immunoassay (LFIA) usually suffers from poor antimatrix interference, unsatisfactory sensitivity, and lack of quantitative ability for target analyte detection in food matrices. In response to these limits, here, multifunctional nanomaterial ZnFe2O4 nanoparticles (ZFOs) were developed and integrated into LFIA for powerful magnetic separation/enrichment and colorimetric/photothermal target sensing. Under optimum conditions, the detection for clenbuterol (CL) with magnetic enrichment achieves 9-fold higher sensitivity compared to that without enrichment and 162-fold higher sensitivity compared to that based on traditional colloidal golds. Attributing the improved performances of ZFOs, CL can be detected at ultralow levels in pork and milk with 10 min of immunoreaction time. The vLODs were 0.01 μg kg-1 for two modes, and the cutoff values of CL were about 5 and 3 μg kg-1, respectively. More importantly, the enrichment ZFO-mediated LFIA (ZE-LFIA) exhibits a similar limit of detection (LOD) in both buffer solution and food matrix, demonstrating a universal resistance to the food matrix. The multitudinous performance merits of this ZE-LFIA with high sensitivity, matrix tolerance, accuracy, and specificity have ensured a broad application potential for target detection of clenbuterol and can serve as an experience for other veterinary drug residues' detection.
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Affiliation(s)
- Chaoying Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yuanyuan Cheng
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qiaoying Wu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jiaqi Ma
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qingzhe Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Lei Zhao
- Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, College of Food Engineering, Ludong University, Yantai, Shandong 264025, China
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, Shandong 264025, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
- Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, College of Food Engineering, Ludong University, Yantai, Shandong 264025, China
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8
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Liu G, Wang J, Wang J, Cui X, Wang K, Chen M, Yang Z, Gao A, Shen Y, Zhang Q, Gao G, Cui D. Deep-learning assisted zwitterionic magnetic immunochromatographic assays for multiplex diagnosis of biomarkers. Talanta 2024; 273:125868. [PMID: 38458085 DOI: 10.1016/j.talanta.2024.125868] [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: 11/30/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Abstract
Magnetic nanoparticle (MNP)-based immunochromatographic tests (ICTs) display long-term stability and an enhanced capability for multiplex biomarker detection, surpassing conventional gold nanoparticles (AuNPs) and fluorescence-based ICTs. In this study, we innovatively developed zwitterionic silica-coated MNPs (MNP@Si-Zwit/COOH) with outstanding antifouling capabilities and effectively utilised them for the simultaneous identification of the nucleocapsid protein (N protein) of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) and influenza A/B. The carboxyl-functionalised MNPs with 10% zwitterionic ligands (MNP@Si-Zwit 10/COOH) exhibited a wide linear dynamic detection range and the most pronounced signal-to-noise ratio when used as probes in the ICT. The relative limit of detection (LOD) values were achieved in 12 min by using a magnetic assay reader (MAR), with values of 0.0062 ng/mL for SARS-CoV-2 and 0.0051 and 0.0147 ng/mL, respectively, for the N protein of influenza A and influenza B. By integrating computer vision and deep learning to enhance the image processing of immunoassay results for multiplex detection, a classification accuracy in the range of 0.9672-0.9936 was achieved for evaluating the three proteins at concentrations of 0, 0.1, 1, and 10 ng/mL. The proposed MNP-based ICT for the multiplex diagnosis of biomarkers holds substantial promise for applications in both medical institutions and self-administered diagnostic settings.
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Affiliation(s)
- Guan Liu
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Junhao Wang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Jiulin Wang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Xinyuan Cui
- Radiology Department of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Second Road, Shanghai, 200025, PR China
| | - Kan Wang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Mingrui Chen
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Ziyang Yang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Ang Gao
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China
| | - Yulan Shen
- Department of Radiology, Huashan Hospital Affiliated to Fudan University, PR China.
| | - Qian Zhang
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China.
| | - Guo Gao
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China.
| | - Daxiang Cui
- Institute of Nano Biomedicine and Engineering, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, 200240, PR China; National Engineering Research Center for Nanotechnology, Shanghai, 200241, PR China; Henan Medical School, Henan University, Henan, 475004, PR China.
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9
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Zhang X, Li Z, Shi Y, Hu B, Zheng Q, Piao Y, Feng L, Cao J. Electrochemical/photoelectrochemical dual-mode aptasensor for sensitive aflatoxin B1 assay based on distance-modulation strategy using Au NPs/PC ZIF-8-ZnO as sensing substrate. Food Chem 2024; 441:138382. [PMID: 38218151 DOI: 10.1016/j.foodchem.2024.138382] [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: 10/27/2023] [Revised: 12/27/2023] [Accepted: 01/04/2024] [Indexed: 01/15/2024]
Abstract
Aflatoxin B1 (AFB1), a hepatotoxic and carcinogenic food contaminant, is commonly found in agricultural food. Herein, Au NPs anchored ZIF-8-derived porous carbon-ZnO (Au NPs/PCZIF-8-ZnO) was firstly synthesized to act as the sensing substrate. Then, a ratiometric electrochemical (EC) and "off-on" photoelectrochemical (PEC) dual-mode paper-based aptasensor was presented for AFB1 detection based on a distance-modulation sensing strategy. The independent signal transduction mechanisms and output mode not only broaden the dynamic detection range but also provide a self-verification to assay results, improving the sensitivity and reliability. The wide detection ranges of 0.1 pg/mL-100 ng/mL (EC mode) and 0.02 pg/mL-100 ng/mL (PEC mode) were obtained using dual-mode aptasensor, with detection limits of 36.7 and 9.3 fg/mL, respectively. The fabricated aptasensor exhibited excellent selectivity, reproducibility and stability. Furthermore, it exhibited good practicability for AFB1 assays in real samples, demonstrating great potential applications for food safety evaluation.
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Affiliation(s)
- Xiaobo Zhang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, School of Life Sciences, Dalian Minzu University, Dalian 116600, PR China
| | - Zhiru Li
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, School of Life Sciences, Dalian Minzu University, Dalian 116600, PR China
| | - Yushu Shi
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Bing Hu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, School of Life Sciences, Dalian Minzu University, Dalian 116600, PR China
| | - Qiuyue Zheng
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, School of Life Sciences, Dalian Minzu University, Dalian 116600, PR China
| | - Yongzhe Piao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, School of Life Sciences, Dalian Minzu University, Dalian 116600, PR China
| | - Liang Feng
- Department of Instrumentation and Analytical Chemistry, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, PR China.
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, School of Life Sciences, Dalian Minzu University, Dalian 116600, PR China.
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10
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Zhai W, Wei D, Cao M, Wang Z, Wang M. Biosensors based on core-shell nanoparticles for detecting mycotoxins in food: A review. Food Chem 2023; 429:136944. [PMID: 37487389 DOI: 10.1016/j.foodchem.2023.136944] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 07/26/2023]
Abstract
Mycotoxins are toxic metabolites produced by fungi in the process of infecting agricultural products, posing serious threat to the health of human and animals. Thus, sensitive and reliable analytical techniques for mycotoxin detection are needed. Biosensors equipped with antibodies or aptamers as recognition elements and core-shell nanoparticles (NPs) for the pre-treatment and detection of mycotoxins have been extensively studied. By comparison with monocomponent NPs, core-shell nanostructures exhibit unique optical, electric, magnetic, plasmonic, and catalytic properties due to the combination of functionalities and synergistic effects, resulting in significant improvement of sensing capacities in various platforms, such as surface-enhanced Raman spectroscopy, fluorescence, lateral flow immunoassay and electrochemical sensors. This review focused on the development of core-shell NPs based biosensors for the sensitive and accurate detection of mycotoxins in food samples. Recent developments were categorised and summarised, along with detailed discussion of advantages and shortcomings. The future potential of utilising core-shell NPs in food safety testing was also highlighted.
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Affiliation(s)
- Wenlei Zhai
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Dizhe Wei
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Mingshuo Cao
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Zhenyu Wang
- Beijing Center of AGRI-Products Quality and Safety, Beijing 100029, China
| | - Meng Wang
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
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11
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Tong L, Li D, Huang M, Huang L, Wang J. Gold-Silver Alloy Nanoparticle-Incorporated Pitaya-Type Silica Nanohybrids for Sensitive Competitive Lateral Flow Immunoassay. Anal Chem 2023; 95:17318-17327. [PMID: 37967331 DOI: 10.1021/acs.analchem.3c03569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
Although the competitive lateral flow immunoassay (CLFIA) using gold nanoparticles (AuNPs) as labels has been widely adopted for the rapid detection of small molecules, its sensitivity is often constrained by the insufficient colorimetric signal produced by conventional AuNPs labels. Herein, we introduce a new type of intensified colorimetric label, denoted as SAAS, which is engineered by integrating gold-silver alloy nanoparticles (Au-Ag NPs) within a dendritic silica scaffold. These pitaya-type silica nanohybrids combine the advantages of the amplified molar extinction coefficient of alloy units with the signal collective effect of numerous Au-Ag NPs in a singular label. The SAAS-based CLFIA strips not only achieve qualitative screening of aflatoxin B1 (AFB1) at an extraordinarily low concentration of 0.2 ng/mL by the naked eye but also enable precise AFB1 quantification through a smartphone, with a remarkable limit of detection of 0.00314 ng/mL. Moreover, by leveraging SAAS as a quencher, we have delved into transforming the conventional signal-off mode of competitive immunoassay into a signal-on configuration. This innovation led to the development of a fluorescent LFIA that augments interpretative precision and sensitivity. Our study demonstrates the substantial potential of the proposed nanohybrid labels in enhancing the sensitivity of CLFIA for detecting small molecules.
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Affiliation(s)
- Lu Tong
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Daquan Li
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Mei Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Liang Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
| | - Jing Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
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12
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Aggarwal M, Sahoo P, Saha S, Das P. Machine Learning-Mediated Ultrasensitive Detection of Citrinin and Associated Mycotoxins in Real Food Samples Discerned from a Photoluminescent Carbon Dot Barcode Array. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:12849-12858. [PMID: 37584518 DOI: 10.1021/acs.jafc.3c04846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
Economically viable remote sensing of foodborne contaminants using minimalistic chemical reagents and simultaneous automation calls for a concrete integration of a chemical detection strategy with artificial intelligence. In a first of its kind, we report the ultrasensitive detection of citrinin and associated mycotoxins like aflatoxin B1 and ochratoxin A using an Alizarin Red S (ARS) and cystamine-derived carbon dot (CD) that aptly amalgamate with machine learning algorithms for automation. The photoluminescence response of the CD as a function of various solvents and pH is used to generate array channels that are further modulated in the presence of the mycotoxins whose digital images were acquired to determine pixelation, essentially creating a barcode. The barcode was fed to machine learning algorithms that actualize and intertwine convoluted databases, demonstrating Extreme Gradient Boosting (XGBoost) as the optimized model out of eight algorithms tested. Spiked samples of wheat, rice, gram, maize, coffee, and milk were used to evaluate the testing model where an exemplary accuracy of 100% even at 10 pmol of mycotoxin concentration was achieved. Most importantly, the coexistence of mycotoxins could also be detected through the CD array and XGBoost synergy hinting toward a broader scope of the developed methodology for smart detection of foodborne contaminants.
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Affiliation(s)
- Maansi Aggarwal
- Department of Chemistry, Indian Institute of Technology Patna, Patna 801103, Bihar, India
| | - Pranab Sahoo
- Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna 801103, Bihar, India
| | - Sriparna Saha
- Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna 801103, Bihar, India
| | - Prolay Das
- Department of Chemistry, Indian Institute of Technology Patna, Patna 801103, Bihar, India
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13
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Rees K, Darwish GH, Algar WR. Dextran-Functionalized Super-nanoparticle Assemblies of Quantum Dots for Enhanced Cellular Immunolabeling and Imaging. ACS APPLIED MATERIALS & INTERFACES 2023; 15:18672-18684. [PMID: 37018127 DOI: 10.1021/acsami.3c00861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Colloidal semiconductor quantum dots (QDs) are a popular material for applications in bioanalysis and imaging. Although individual QDs are bright, some applications benefit from the use of even brighter materials. One approach to achieve higher brightness is to form super-nanoparticle (super-NP) assemblies of many QDs. Here, we present the preparation, characterization, and utility of dextran-functionalized super-NP assemblies of QDs. Amphiphilic dextran was synthesized and used to encapsulate many hydrophobic QDs via a simple emulsion-based method. The resulting super-NP assemblies or "super-QDs" had hydrodynamic diameters of ca. 90-160 nm, were characterized at the ensemble and single-particle levels, had orders-of-magnitude superior brightness compared to individual QDs, and were non-blinking. Additionally, binary mixtures of red, green, and blue (RGB) colors of QDs were used to prepare super-QDs, including colors difficult to obtain from individual QDs (e.g., magenta). Tetrameric antibody complexes (TACs) enabled simple antibody conjugation for selective cellular immunolabeling and imaging with both an epifluorescence microscope and a smartphone-based platform. The technical limitations of the latter platform were overcome by the increased per-particle brightness of the super-QDs, and the super-QDs outperformed individual QDs in both cases. Overall, the super-QDs are a very promising material for bioanalysis and imaging applications where brightness is paramount.
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Affiliation(s)
- Kelly Rees
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC, V6T 1Z1, Canada
| | - Ghinwa H Darwish
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC, V6T 1Z1, Canada
| | - W Russ Algar
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC, V6T 1Z1, Canada
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14
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Chen J, Jiang J, Liang J, Wu H, Chen L, Xu Z, Lei H, Li X. Bifunctional magnetic ZnCdSe/ZnS quantum dots nanocomposite-based lateral flow immunoassay for ultrasensitive detection of streptomycin and dihydrostreptomycin in milk, muscle, liver, kidney, and honey. Food Chem 2023; 406:135022. [PMID: 36455313 DOI: 10.1016/j.foodchem.2022.135022] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/14/2022] [Accepted: 11/18/2022] [Indexed: 11/22/2022]
Abstract
In this study, bifunctional magnetic ZnCdSe/ZnS quantum dots nanocomposite (MQNs) were synthesized, and firstly used to develop a lateral flow immunoassay (LFIA) for streptomycin (STR) and dihydrostreptomycin (DHSTR) detection in milk, muscle, liver, kidney, and honey simultaneously. The fluorescence signal of MQNs was 9-fold stronger than that of the original quantum dots. The detection limits of the established MQNs-LFIA for STR and DHSTR in five samples were 0.08-1.78 μg/kg, the quantitation limits were 0.26-5.87 μg/kg, the recoveries were between 85.0% and 120.0%, and the coefficient of variations were between 0.8% and 19.3%, respectively. The sensitivity was up to 42-fold more sensitive than the reported LFIAs. The single blind test results of 25 samples were consistent with that of the confirmation method (R2 ≥ 0.99). Besides, a portable reader was self-developed and used for rapid quantification. Our study demonstrated MQNs as a promising signal-amplifying tag can be used for ultrasensitive detection of chemical contaminants in foods.
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Affiliation(s)
- Jiayi Chen
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Jiali Jiang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Jinxuan Liang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Han Wu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Liping Chen
- Shenzhen Zhenrui Biological Technology Co., Ltd., Shenzhen 518109, China
| | - Zhenlin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiangmei Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
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15
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Xu Q, Xiao F, Xu H. Fluorescent detection of emerging virus based on nanoparticles: From synthesis to application. Trends Analyt Chem 2023; 161:116999. [PMID: 36852170 PMCID: PMC9946731 DOI: 10.1016/j.trac.2023.116999] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/26/2023] [Accepted: 02/21/2023] [Indexed: 02/24/2023]
Abstract
The spread of COVID-19 has caused huge economic losses and irreversible social impact. Therefore, to successfully prevent the spread of the virus and solve public health problems, it is urgent to develop detection methods with high sensitivity and accuracy. However, existing detection methods are time-consuming, rely on instruments, and require skilled operators, making rapid detection challenging to implement. Biosensors based on fluorescent nanoparticles have attracted interest in the field of detection because of their advantages, such as high sensitivity, low detection limit, and simple result readout. In this review, we systematically describe the synthesis, intrinsic advantages, and applications of organic dye-doped fluorescent nanoparticles, metal nanoclusters, up-conversion particles, quantum dots, carbon dots, and others for virus detection. Furthermore, future research initiatives are highlighted, including green production of fluorescent nanoparticles with high quantum yield, speedy signal reading by integrating with intelligent information, and error reduction by coupling with numerous fluorescent nanoparticles.
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Affiliation(s)
- Qian Xu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Fangbin Xiao
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Hengyi Xu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
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16
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Lv Y, Fan J, Zhao M, Wu R, Li LS. Recent advances in quantum dot-based fluorescence-linked immunosorbent assays. NANOSCALE 2023; 15:5560-5578. [PMID: 36866747 DOI: 10.1039/d2nr07247e] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Fluorescence immunoassays have been given considerable attention among the quantitative detection methods in the clinical medicine and food safety testing fields. In particular, semiconductor quantum dots (QDs) have become ideal fluorescent probes for highly sensitive and multiplexed detection due to their unique photophysical properties, and the QD fluorescence-linked immunosorbent assay (FLISA) with high sensitivity, high accuracy, and high throughput has been greatly developed recently. In this manuscript, the advantages of applying QDs to FLISA platforms and some strategies for their application to in vitro diagnostics and food safety are discussed. Given the rapid development of this field, we classify these strategies based on the combination of QD types and detection targets, including traditional QDs or QD micro/nano-spheres-FLISA, and multiple FLISA platforms. In addition, some new sensors based on the QD-FLISA are introduced; this is one of the hot spots in this field. The current focus and future direction of QD-FLISA are also discussed, which provides important guidance for the further development of FLISA.
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Affiliation(s)
- Yanbing Lv
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Jinjin Fan
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Man Zhao
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Ruili Wu
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
| | - Lin Song Li
- Key Lab for Special Functional Materials of the Ministry of Education, and School of Materials, Henan University, Kaifeng, 475004, China.
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17
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Liang J, Liu Z, Fang Y, Shen X, Xu Z, Lei H, Huang X, Li X. Two kinds of lateral flow immunoassays based on multifunctional magnetic prussian blue nanoenzyme and colloidal gold for the detection of 38 β-agonists in swine urine and pork. Food Chem 2023; 417:135897. [PMID: 36924717 DOI: 10.1016/j.foodchem.2023.135897] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/26/2023] [Accepted: 03/05/2023] [Indexed: 03/13/2023]
Abstract
Herein, novel multifunctional magnetic prussian blue nanoenzymes (MPBNs) and colloidal gold (CG) were synthesized and used to develop two kinds of lateral flow immunoassays (LFIAs) for the detection of 38 β-agonists. Since MPBNs has a unique three-in-one function of colorimetric magnetic catalytic activities, the signal intensity and coupling ratio are 2 and 8-fold higher than that of the CG. The cut-off values of the CG-LFIA and MPBNs-LFIA for swine urine and pork are 5/5 and 0.3/0.5 μg/kg, the limits of detection are 0.19/0.29 and 0.02/0.03 μg/kg, respectively. The sensitivity of MPBNs-LFIA is 10-fold higher than that of CG-LFIA, and up to 200-fold higher than that of the reported LFIAs. The recoveries of the LFIAs are 80.0%-116.7%, with coefficients of variation of 1.4%-14.3%. Our study proved that the MPBNs have more advantages than CG, and can offer a promising signal label for ultrasensitive immunoassay techniques.
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Affiliation(s)
- Jinxuan Liang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhiwei Liu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Yalin Fang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xing Shen
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhenlin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xianhui Huang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Veterinary Drug Development and Safety Evaluation, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
| | - Xiangmei Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Veterinary Drug Development and Safety Evaluation, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
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18
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Ratiometric fluorescent immunochromatography for simultaneously detection of two nitrofuran metabolites in seafoods. Food Chem 2023; 404:134698. [DOI: 10.1016/j.foodchem.2022.134698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/04/2022] [Accepted: 10/17/2022] [Indexed: 11/22/2022]
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19
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Ma T, Zhang J, Zhang L, Zhang Q, Xu X, Xiong Y, Ying Y, Fu Y. Recent advances in determination applications of emerging films based on nanomaterials. Adv Colloid Interface Sci 2023; 311:102828. [PMID: 36587470 DOI: 10.1016/j.cis.2022.102828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/12/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022]
Abstract
Sensitive and facile detection of analytes is crucial in various fields such as agriculture production, food safety, clinical diagnosis and therapy, and environmental monitoring. However, the synergy of complicated sample pretreatment and detection is an urgent challenge. By integrating the inherent porosity, processability and flexibility of films and the diversified merits of nanomaterials, nanomaterial-based films have evolved as preferred candidates to meet the above challenge. Recent years have witnessed the flourishment of films-based detection technologies due to their unique porous structures and integrated physical/chemical merits, which favors the separation/collection and detection of analytes in a rapid, efficient and facile way. In particular, films based on nanomaterials consisting of 0D metal-organic framework particles, 1D nanofibers and carbon nanotubes, and 2D graphene and analogs have drawn increasing attention due to incorporating new properties from nanomaterials. This paper summarizes the progress of the fabrication of emerging films based on nanomaterials and their detection applications in recent five years, focusing on typical electrochemical and optical methods. Some new interesting applications, such as point-of-care testing, wearable devices and detection chips, are proposed and emphasized. This review will provide insights into the integration and processability of films based on nanomaterials, thus stimulate further contributions towards films based on nanomaterials for high-performance analytical-chemistry-related applications.
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Affiliation(s)
- Tongtong Ma
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Jie Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Lin Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Qi Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Xiahong Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Yibin Ying
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Yingchun Fu
- College of Biosystems Engineering and Food Science, Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou 310058, China.
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20
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Liu Y, Liu D, Li C, Cui S, Yun Z, Zhang J, Wei Y, Sun F. Chromatographic methods for rapid aflatoxin B1 analysis in food: a review. Crit Rev Food Sci Nutr 2022; 64:5515-5532. [PMID: 36519502 DOI: 10.1080/10408398.2022.2155107] [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] [Indexed: 12/23/2022]
Abstract
Aflatoxin B1 (AFB1) is a mycotoxin and is the most carcinogenic of all known chemicals. In view of the AFB1 characteristics of widespread distribution, serious pollution, great harm to humans, and animals and difficult to remove, it is urgent to develop a convenient and sensitive detection method. Moreover, chromatographic test strips (CTSs) are a rapid detection technology that combines labeling technology with chromatography technology. CTSs have been widely used in the fields of environmental monitoring, medical diagnosis, and food safety analysis in recent years. Different from other immune assays, they have the advantages of short measuring time, low cost, high efficiency and no need for professionals to operate. In addition, the introduction of nanomaterials has laid a good foundation for the detection of high sensitivity, high specificity and high efficiency via CTSs. Herein, we tend to comprehensively introduce the applications of chromatographic methods in AFB1 detection and pay attention to the signal detection modes based on nanomaterials in antibody-based immunochromatographic strips (ICSs), such as colorimetric, fluorescent, chemiluminescent, and Raman scattering sensing. Some typical examples are also listed in this review. In the end, we make a summary and put forward prospects for the development of CTSs.
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Affiliation(s)
- Yinyin Liu
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
| | - Dan Liu
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
| | - Can Li
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
| | - Shuangshuang Cui
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
| | - Ziguang Yun
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
| | - Jian Zhang
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
| | - Yong Wei
- Animal Husbandry Division, Xinjiang Tianrun Dairy Co., Ltd, Urumqi, Xinjiang, China
| | - Fengxia Sun
- School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, China
- Animal Husbandry Division, Xinjiang Tianrun Dairy Co., Ltd, Urumqi, Xinjiang, China
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21
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Fang B, Xiong Q, Duan H, Xiong Y, Lai W. Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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22
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Ghasemi F, Fahimi-Kashani N, Bigdeli A, Alshatteri AH, Abbasi-Moayed S, Al-Jaf SH, Merry MY, Omer KM, Hormozi-Nezhad MR. Paper-based optical nanosensors – A review. Anal Chim Acta 2022; 1238:340640. [DOI: 10.1016/j.aca.2022.340640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/23/2022]
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Sensitive and simultaneous detection of ractopamine and salbutamol using multiplex lateral flow immunoassay based on polyethyleneimine-mediated SiO2@QDs nanocomposites: Comparison and application. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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24
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A highly sensitive photothermal immunochromatographic sensor for detection of aflatoxin B 1 based on Cu 2-xSe-Au nanoparticles. Food Chem 2022; 401:134065. [PMID: 36116302 DOI: 10.1016/j.foodchem.2022.134065] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 07/25/2022] [Accepted: 08/28/2022] [Indexed: 11/23/2022]
Abstract
In the study, Cu2-xSe-Au nanoparticles (CSA) with a photothermal conversion efficiency of 60.78 % at 808 nm were applied to the construction of thermal analysis immunochromatographic test strips for the highly sensitive quantitative detection of aflatoxin B1 (AFB1) in grain. The CSA was coupled with the AFB1 antibody to form a photothermal sensor probe by physical adsorption. The constructed immunosensor exhibited high sensitivity and a wide linear range from 0.01 to 10 μg/L in PBS. The detection limits of 0.00842 μg/L based on the thermal analysis was significantly improved by 11.88-fold compared with colorimetric results. No cross-reaction with the other mycotoxins was found except for aflatoxin B2, aflatoxin M1, aflatoxin G1 and aflatoxin G2. Applied to analysize grain sample, the method achieved the detection of AFB1 ranging from 0.16 to 160 μg/kg.
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Underreported Human Exposure to Mycotoxins: The Case of South Africa. Foods 2022; 11:foods11172714. [PMID: 36076897 PMCID: PMC9455755 DOI: 10.3390/foods11172714] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 12/03/2022] Open
Abstract
South Africa (SA) is a leading exporter of maize in Africa. The commercial maize farming sector contributes to about 85% of the overall maize produced. More than 33% of South Africa’s population live in rural settlements, and their livelihoods depend entirely on subsistence farming. The subsistence farming system promotes fungal growth and mycotoxin production. This review aims to investigate the exposure levels of the rural population of South Africa to dietary mycotoxins contrary to several reports issued concerning the safety of South African maize. A systematic search was conducted using Google Scholar. Maize is a staple food in South Africa and consumption rates in rural and urban communities are different, for instance, intake may be 1–2 kg/person/day and 400 g/person/day, respectively. Commercial and subsistence maize farming techniques are different. There exist differences influencing the composition of mycotoxins in food commodities from both sectors. Depending on the levels of contamination, dietary exposure of South Africans to mycotoxins is evident in the high levels of fumonisins (FBs) that have been detected in SA home-grown maize. Other potential sources of exposure to mycotoxins, such as carryover effects from animal products and processed foods, were reviewed. The combined effects between FBs and aflatoxins (AFs) have been reported in humans/animals and should not be ignored, as sporadic breakouts of aflatoxicosis have been reported in South Africa. These reports are not a true representation of the entire country as reports from the subsistence-farming rural communities show high incidence of maize contaminated with both AFs and FBs. While commercial farmers and exporters have all the resources needed to perform laboratory analyses of maize products, the greater challenge in combatting mycotoxin exposure is encountered in rural communities with predominantly subsistence farming systems, where conventional food surveillance is lacking.
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Wu T, Li J, Zheng S, Yu Q, Qi K, Shao Y, Wang C, Tu J, Xiao R. Magnetic Nanotag-Based Colorimetric/SERS Dual-Readout Immunochromatography for Ultrasensitive Detection of Clenbuterol Hydrochloride and Ractopamine in Food Samples. BIOSENSORS 2022; 12:bios12090709. [PMID: 36140094 PMCID: PMC9496078 DOI: 10.3390/bios12090709] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/28/2022] [Accepted: 08/28/2022] [Indexed: 12/29/2022]
Abstract
Direct and sensitive detection of multiple illegal additives in complex food samples is still a challenge in on-site detection. In this study, an ultrasensitive immunochromatographic assay (ICA) using magnetic Fe3O4@Au nanotags as a capture/detection difunctional tool was developed for the direct detection of β2-adrenoceptor agonists in real samples. The Fe3O4@Au tag is composed of a large magnetic core (~160 nm), a rough Au nanoshell, dense surface-modified Raman molecules, and antibodies, which cannot only effectively enrich targets from complex solutions to reduce the matrix effects of food samples and improve detection sensitivity, but also provide strong colorimetric/surface-enhanced Raman scattering (SERS) dual signals for ICA testing. The dual readout signals of the proposed ICA can meet the detection requirements in different environments. Specifically, the colorimetric signal allows for rapid visual detection of the analyte, and the SERS signal is used for the sensitive and quantitative detection modes. The proposed dual-signal ICA can achieve the simultaneous determination of two illegal additives, namely, clenbuterol hydrochloride and ractopamine. The detection limits for the two targets via colorimetric and SERS signals were down to ng mL−1 and pg mL−1 levels, respectively. Moreover, the proposed assay has demonstrated high accuracy and stability in real food samples.
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Affiliation(s)
- Ting Wu
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Jiaxuan Li
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
| | - Shuai Zheng
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Qing Yu
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Kezong Qi
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Ying Shao
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Chongwen Wang
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (C.W.); (J.T.); (R.X.)
| | - Jian Tu
- Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- Correspondence: (C.W.); (J.T.); (R.X.)
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, China
- Correspondence: (C.W.); (J.T.); (R.X.)
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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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Shao Y, Xu W, Zheng Y, Wang J, Xie J, Zhu Z, Xiang X, Ye Q, Zhang Y, Xue L, Gu B, Chen J, Zhang J, Wu Q, Ding Y. Controlled PAH-mediated method with enhanced optical properties for simple, stable immunochromatographic assays. Biosens Bioelectron 2022; 206:114150. [DOI: 10.1016/j.bios.2022.114150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/21/2022] [Accepted: 02/28/2022] [Indexed: 12/20/2022]
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Deoxynivalenol: An Overview on Occurrence, Chemistry, Biosynthesis, Health Effects and Its Detection, Management, and Control Strategies in Food and Feed. MICROBIOLOGY RESEARCH 2022. [DOI: 10.3390/microbiolres13020023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Mycotoxins are fungi-produced secondary metabolites that can contaminate many foods eaten by humans and animals. Deoxynivalenol (DON), which is formed by Fusarium, is one of the most common occurring predominantly in cereal grains and thus poses a significant health risk. When DON is ingested, it can cause both acute and chronic toxicity. Acute signs include abdominal pain, anorexia, diarrhea, increased salivation, vomiting, and malaise. The most common effects of chronic DON exposure include changes in dietary efficacy, weight loss, and anorexia. This review provides a succinct overview of various sources, biosynthetic mechanisms, and genes governing DON production, along with its consequences on human and animal health. It also covers the effect of environmental factors on its production with potential detection, management, and control strategies.
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Ren J, Su L, Hu H, Yin X, Xu J, Liu S, Wang J, Wang Z, Zhang D. Expanded detection range of lateral flow immunoassay endowed with a third-stage amplifier indirect probe. Food Chem 2022; 377:131920. [PMID: 34979402 DOI: 10.1016/j.foodchem.2021.131920] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 11/18/2022]
Abstract
Here, a third-stage amplifier indirect probe (TsAIP) based lateral flow immunoassay (LFIA) was proposed to detect furazolidone (FZD) with Prussian blue nanoparticles (PBNPs) as carrier to label the goat anti-mouse antibody-horseradish peroxidase conjugation [GAMA(HRP)]. In this strategy, owing to the fact that one monoclonal antibody (mAb) can combine several GAMA molecules simultaneously, the indirect probe can generate primary signal amplification, then realize second-stage amplification attributing to PBNPs, and finally achieve third-stage amplification because of the conjugated HRP. The TsAIP-based LFIA shows improved performance for FZD metabolite derivative with a detection limit of 1 ng mL-1. The detection range is expanded about 2-fold compared with the original outcome. Besides, the proposed sensor could be successfully applied in food samples. This method provides a platform for broadening the detection range and application of PBNPs based LFIAs.
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Affiliation(s)
- Jing Ren
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Lihong Su
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Huilan Hu
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Jingke Xu
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Sijie Liu
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Zhanhui Wang
- College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, and Beijing Laboratory for Food Quality and Safety, Beijing 100193, China.
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China.
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Zhou J, Wang Z, Qian W, Liang C, Chen Y, Liu H, Liu Y, Zhu X, Wang A. Quantum dot-based fluorescence immunosorbent assay for the rapid detection of bacitracin zinc in feed samples. LUMINESCENCE 2022; 37:1300-1308. [PMID: 35637545 DOI: 10.1002/bio.4296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/17/2022] [Accepted: 05/24/2022] [Indexed: 11/09/2022]
Abstract
Bacitracin zinc (BAC), a polypeptide antibiotic, is utilized as a feed additive due to its ability to promote growth in animals. However, the abuse of BAC can lead to a great threat to food safety. Therefore, there is an urgent need to develop a rapid and sensitive detection method. In this study, a monoclonal antibody (mAb) against BAC with excellent sensitivity and specificity was obtained. For the first time, quantum dots (QDs) were conjugated with the prepared mAb against BAC and rabbit anti-mouse antibody to fabricate a direct and an indirect competitive fluorescence-linked immunosorbent assay (dc-FLISA and ic-FLISA) to detect BAC. The IC50 of dc-FLISA and ic-FLISA were 0.28 ng/ml and 0.17 ng/ml, respectively. The limits of detection were 0.0016 ng/ml and 0.001 ng/ml, respectively, and the detection ranges were 0.0016-46.50 ng/ml and 0.001-35.65 ng/ml, respectively. In addition, the recovery rate of the two methods ranged from 93.5% to 112.0%, and the coefficient of variation (CV) was less than 10%. Therefore, the methods developed in this work have the merits of low cost, simple operation, and high sensitivity, which provide an effective analytical tool for BAC residue detection in feed samples.
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Affiliation(s)
- Jingming Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhuoyang Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenjing Qian
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Chao Liang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yumei Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Hongliang Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yankai Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Xifang Zhu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
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Lin X, Yu W, Tong X, Li C, Duan N, Wang Z, Wu S. Application of Nanomaterials for Coping with Mycotoxin Contamination in Food Safety: From Detection to Control. Crit Rev Anal Chem 2022; 54:355-388. [PMID: 35584031 DOI: 10.1080/10408347.2022.2076063] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Mycotoxins, which are toxic secondary metabolites produced by fungi, are harmful to humans. Mycotoxin-induced contamination has drawn attention worldwide. Consequently, the development of reliable and sensitive detection methods and high-efficiency control strategies for mycotoxins is important to safeguard food industry safety and public health. With the rapid development of nanotechnology, many novel nanomaterials that provide tremendous opportunities for greatly improving the detection and control performance of mycotoxins because of their unique properties have emerged. This review comprehensively summarizes recent trends in the application of nanomaterials for detecting mycotoxins (fluorescence, colorimetric, surface-enhanced Raman scattering, electrochemical, and point-of-care testing) and controlling mycotoxins (inhibition of fungal growth, mycotoxin absorption, and degradation). These detection methods possess the advantages of high sensitivity and selectivity, operational simplicity, and rapidity. With research attention on the control of mycotoxins and the gradual excavation of the properties of nanomaterials, nanomaterials are also employed for the inhibition of fungal growth, mycotoxin absorption, and mycotoxin degradation, and impressive controlling effects are obtained. This review is expected to provide the readers insight into this state-of-the-art area and a reference to design nanomaterials-based schemes for the detection and control of mycotoxins.
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Affiliation(s)
- Xianfeng Lin
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Wenyan Yu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Xinyu Tong
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Changxin Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
| | - Nuo Duan
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Zhouping Wang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Shijia Wu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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Zhang X, Wang J, Liang J, Liu Z, Shen X, Liu Y, Li X, Xu Z, Lei Y, Lei H. A novel self-aggregated gold nanoparticles based on sensitive immunochromatographic assays for highly detection of opium poppy in herbal teas. Food Chem 2022; 390:133188. [PMID: 35567969 DOI: 10.1016/j.foodchem.2022.133188] [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: 12/22/2021] [Revised: 05/02/2022] [Accepted: 05/06/2022] [Indexed: 11/17/2022]
Abstract
Opium poppy abused in food has aroused public concerns due to its serious side effects. Effective monitoring is essential to fight the abuse crisis. Herein, we synthesized an easily prepared, affordable, accessible highly aggregated gold nanoparticles (AGNPs) performing in lateral flow immunoassay (LFIA) for detection opium poppy in herbal teas. Simultaneously, a LFIA based ontime-resolved fluorescent microspheres (TRFMs) was developed as contrastive method. In this study, morphine (MOR), codeine (COD) and thebaine (THE) were as the specific recognition markers of opium poppy. Results demonstrated the quantitative limits of detection were 0.0049/0.0053/0.084, 0.034/0.037/0.37 ng mL-1 for AGNPs/TRFMs-LFIA, respectively. The recoveries were 95%-107.5%/91%-106.7% with coefficient of variation was 1.6%-6.6%/1.8%-7.2%, indicating excellent accuracy and precision. Parallel experiments among AGNPs/TRFMs-LFIA and LC-MS/MS analysis showed good correlation. Overall, AGNPs-LFIA executed quantitative analysis within 15 min on the basis of simple treatment while providing a rapid and sensitive analysis strategy for illegal drugs abused.
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Affiliation(s)
- Xuan Zhang
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Jin Wang
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Jianhao Liang
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Zhiwei Liu
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Xing Shen
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Yingju Liu
- Laboratory for Biobased Materials and Energy of Ministry of Education, College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China
| | - Xiangmei Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Zhenlin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Yi Lei
- Guangdong Institute of Food Inspection, Guangzhou 510435, China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China.
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Development of Fluorescent Immunochromatographic Test Strip for Qualitative and Quantitative Detection of Zearalenone. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02295-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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35
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Wang H, Ren HL, Hu P, Li YS, Zheng Y, Cao Q, Liu ZX, Liu ZS, Yang Y, Lu SY. A Fluorescence Immunochromatographic Strip Based on Quantum Dot Nanobeads for the Rapid Detection of Okadaic Acid. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02302-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Xiong J, Zhang H, Qin L, Zhang S, Cao J, Jiang H. Magnetic Fluorescent Quantum Dots Nanocomposites in Food Contaminants Analysis: Current Challenges and Opportunities. Int J Mol Sci 2022; 23:ijms23084088. [PMID: 35456904 PMCID: PMC9028821 DOI: 10.3390/ijms23084088] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/05/2022] [Accepted: 04/05/2022] [Indexed: 12/16/2022] Open
Abstract
The presence of food contaminants can cause foodborne illnesses, posing a severe threat to human health. Therefore, a rapid, sensitive, and convenient method for monitoring food contaminants is eagerly needed. The complex matrix interferences of food samples and poor performance of existing sensing probes bring significant challenges to improving detection performances. Nanocomposites with multifunctional features provide a solution to these problems. The combination of the superior characteristics of magnetic nanoparticles (MNPs) and quantum dots (QDs) to fabricate magnetic fluorescent quantum dots (MNPs@QDs) nanocomposites are regarded as an ideal multifunctional probe for food contaminants analysis. The high-efficiency pretreatment and rapid fluorescence detection are concurrently integrated into one sensing platform using MNPs@QDs nanocomposites. In this review, the contemporary synthetic strategies to fabricate MNPs@QDs, including hetero-crystalline growth, template embedding, layer-by-layer assembly, microemulsion technique, and one-pot method, are described in detail, and their advantages and limitations are discussed. The recent advances of MNPs@QDs nanocomposites in detecting metal ions, foodborne pathogens, toxins, pesticides, antibiotics, and illegal additives are comprehensively introduced from the perspectives of modes and detection performances. The review ends with current challenges and opportunities in practical applications and prospects in food contaminants analysis, aiming to promote the enthusiasm for multifunctional sensing platform research.
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Affiliation(s)
- Jincheng Xiong
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; (J.X.); (H.Z.); (L.Q.); (S.Z.)
| | - Huixia Zhang
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; (J.X.); (H.Z.); (L.Q.); (S.Z.)
| | - Linqian Qin
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; (J.X.); (H.Z.); (L.Q.); (S.Z.)
| | - Shuai Zhang
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; (J.X.); (H.Z.); (L.Q.); (S.Z.)
| | - Jiyue Cao
- Department of Veterinary Pharmacology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
| | - Haiyang Jiang
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing 100193, China; (J.X.); (H.Z.); (L.Q.); (S.Z.)
- Correspondence: ; Tel.: +86-010-6273-4478; Fax: +86-010-6273-1032
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Nature-inspired nanozymes as signal markers for in-situ signal amplification strategy: A portable dual-colorimetric immunochromatographic analysis based on smartphone. Biosens Bioelectron 2022; 210:114289. [DOI: 10.1016/j.bios.2022.114289] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/10/2022] [Accepted: 04/14/2022] [Indexed: 02/02/2023]
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38
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Niu Y, Zhang G, Zhou J, Liu H, Chen Y, Ding P, Qi Y, Liang C, Zhu X, Wang A. Differential diagnosis of the infection caused by wild-type or CD2v-deleted ASFV strains by quantum dots-based immunochromatographic assay. Lett Appl Microbiol 2022; 74:1001-1007. [PMID: 35255156 DOI: 10.1111/lam.13691] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/28/2022]
Abstract
African swine fever (ASF), a highly contagious and lethal disease, poses a tremendous threat and burden to the swine industry worldwide. Lack of available vaccines or treatments leaves rapid diagnosis as the key tool to control the disease. Quantum dots (QDs) are unique fluorescent semiconductor nanoparticles, highly versatile for biological applications. In this study, we developed a quantum dots-based fluorescent immunochromatographic assay (QDs-FICA) using CD2v as the diagnosis antigen to detect ASFV antibodies. The titer of the test strip was 1 : 5.12×105 . In addition, the strip was highly specific to Anti-ASFV serum and had no cross-reaction with CSFV, PPV, PRRSV, PCV-2, PRV and FMDV. Moreover, a comparative test of 71 clinical samples showed that the coincidence rate was 85.92 % between the test strip and the commercial ELISA kit (coated with p30, p62 and p72). The QDs-FICA can be used to detect ASFV antibodies, which is meaningful for the surveillance, control and purification of ASF.
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Affiliation(s)
- Yan Niu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Gaiping Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Agriculture University, Zhengzhou, Henan, China
| | - Jingming Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
| | - Hongliang Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
| | - Yumei Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
| | - Peiyang Ding
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yanhua Qi
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Chao Liang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Xifang Zhu
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.,Henan Zhongze Biological Engineering co. LTD, Zhengzhou, Henan, China
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39
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Jia J, Ao L, Luo Y, Liao T, Huang L, Zhuo D, Jiang C, Wang J, Hu J. Quantum dots assembly enhanced and dual-antigen sandwich structured lateral flow immunoassay of SARS-CoV-2 antibody with simultaneously high sensitivity and specificity. Biosens Bioelectron 2022; 198:113810. [PMID: 34840014 PMCID: PMC8595965 DOI: 10.1016/j.bios.2021.113810] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 10/27/2021] [Accepted: 11/13/2021] [Indexed: 12/13/2022]
Abstract
Exploring reliable and highly-sensitive SARS-CoV-2 antibody diagnosis by point-of-care (POC) manner, holds great public health significance for extensive COVID-19 screening and controlling. Unfortunately, the currently applied gold based lateral flow immunoassay (GLFIA) may expose both false-negative and false-positive interpretations owing to the sensitivity and specificity limitations, which may cause significant risk and waste of public resources for large population screening. To simultaneously overcome the drawbacks of GLFIA, a novel fluorescent LFIA based on signal amplification and dual-antigen sandwich structure was established with largely improved sensitivity and specificity. The compact three-dimensional incorporation of hydrophobic quantum dots within dendritic affinity templates and multilayer surface derivation guaranteed a high and robust fluorescence of single label, which lowered the false negative rate of GLFIA prominently. A dual-antigen sandwich structure using labeled/immobilized SARS-CoV-2 spike receptor binding domain antigen for capturing total human SARS-CoV-2 antibody was developed, instead of general indirect antibody capturing approach, to reduce the false positive rate of GLFIA. Over 300 cases of COVID-19 negative and 97 cases of COVID-19 positive samples, the current assay revealed a 100% sensitivity and 100% specificity confirmed by both polymerase chain reaction (PCR) and chemiluminescence immunoassay (CLIA), compared with the considerable misinterpretation cases by currently applied GLFIA. The quantitative results verified by receiver operating characteristic curve and other statistical analysis indicated a well-distinguished positive/negative sample groups. The proposed strategy is highly sensitive towards low concentrated SARS-CoV-2 antibody serums and highly specific towards serums from COVID-19 negative persons and patients infected by other viruses.
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Affiliation(s)
- Jianghua Jia
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China; Medicalsystem Biotechnology Co., Ltd, Ningbo, 315104, China
| | - Lijiao Ao
- Institute of Biomedical Engineering, The Second Clinical Medical College (Shenzhen People's Hospital) of Jinan University, Shenzhen, 518020, China
| | - Yongxin Luo
- Xinyu People's Hospital, Xinyu, 338000, China
| | - Tao Liao
- Shenzhen WWHS Biotech. Inc, Shenzhen, 518100, China
| | - Liang Huang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
| | - Dinglv Zhuo
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Chenxing Jiang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Jing Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
| | - Jun Hu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
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40
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Han H, Wang C, Yang X, Zheng S, Cheng X, Liu Z, Zhao B, Xiao R. Rapid field determination of SARS-CoV-2 by a colorimetric and fluorescent dual-functional lateral flow immunoassay biosensor. SENSORS AND ACTUATORS. B, CHEMICAL 2022; 351:130897. [PMID: 34658530 PMCID: PMC8500848 DOI: 10.1016/j.snb.2021.130897] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 09/12/2021] [Accepted: 10/07/2021] [Indexed: 05/06/2023]
Abstract
The rapid and accurate diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the early stage of virus infection can effectively prevent the spread of the virus and control the epidemic. Here, a colorimetric and fluorescent dual-functional lateral flow immunoassay (LFIA) biosensor was developed for the rapid and sensitive detection of spike 1 (S1) protein of SARS-CoV-2. A novel dual-functional immune label was fabricated by coating a single-layer shell formed by mixing 20 nm Au nanoparticles (Au NPs) and quantum dots (QDs) on SiO2 core to produce strong colorimetric and fluorescence signals and ensure good monodispersity and high stability. The colorimetric signal was used for visual detection and rapid screening of suspected SARS-CoV-2 infection on sites. The fluorescence signal was utilized for sensitive and quantitative detection of virus infection at the early stage. The detection limits of detecting S1 protein via colorimetric and fluorescence functions of the biosensor were 1 and 0.033 ng/mL, respectively. Furthermore, we evaluated the performance of the biosensor for analyzing real samples. The novel biosensor developed herein had good repeatability, specificity and accuracy, which showed great potential as a tool for rapidly detecting SARS-CoV-2.
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Affiliation(s)
- Han Han
- College of Life Science, Hebei Normal University, Shijiazhuang 050024, PR China
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
| | - Chongwen Wang
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Xingsheng Yang
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
| | - Shuai Zheng
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Xiaodan Cheng
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Zhenzhen Liu
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
| | - Baohua Zhao
- College of Life Science, Hebei Normal University, Shijiazhuang 050024, PR China
| | - Rui Xiao
- Beijing Institute of Radiation Medicine, Beijing 100850, PR China
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41
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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: 36] [Impact Index Per Article: 18.0] [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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42
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Lin T, Huang X, Guo L, Zhou S, Li X, Liu Y, Hu J, Chen X, Xiong Y. Boronate affinity-assisted oriented antibody conjugation on quantum dot nanobeads for improved detection performance in lateral flow immunoassay. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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43
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Ensuring food safety using fluorescent nanoparticles-based immunochromatographic test strips. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.10.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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44
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Lv Y, Yang Y, Wu R, Xu Y, Li J, Li N, Shen H, Chai Y, Li LS. A CdSe/ZnS core/shell competitive quantum dot-based fluorescence-linked immunosorbent assay for the sensitive and accurate detection of aflatoxin B1 in corn sample. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2021. [DOI: 10.1007/s11694-021-01223-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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45
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Li R, Wen Y, Wang F, He P. Recent advances in immunoassays and biosensors for mycotoxins detection in feedstuffs and foods. J Anim Sci Biotechnol 2021; 12:108. [PMID: 34629116 PMCID: PMC8504128 DOI: 10.1186/s40104-021-00629-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 08/08/2021] [Indexed: 12/22/2022] Open
Abstract
Mycotoxins are secondary metabolites produced by fungus. Many mycotoxin species are highly toxic and are frequently found in cereals and feedstuffs. So, powerful detection methods are vital and effective ways to prevent feed contamination. Traditional detection methods can no longer meet the needs of massive, real-time, simple, and fast mycotoxin monitoring. Rapid detection methods based on advanced material and sensor technology are the future trend. In this review, we highlight recent progress of mycotoxin rapid detection strategies in feedstuffs and foods, especially for simultaneous multiplex mycotoxin determination. Immunoassays, biosensors, and the prominent roles of nanomaterials are introduced. The principles of different types of recognition and signal transduction are explained, and the merits and pitfalls of these methods are compared. Furthermore, limitations and challenges of existing rapid sensing strategies and perspectives of future research are discussed.
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Affiliation(s)
- Runxian Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yang Wen
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Fenglai Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Pingli He
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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46
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Zhou Y, Chen Y, Liu W, Fang H, Li X, Hou L, Liu Y, Lai W, Huang X, Xiong Y. Development of a rapid and sensitive quantum dot nanobead-based double-antigen sandwich lateral flow immunoassay and its clinical performance for the detection of SARS-CoV-2 total antibodies. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 343:130139. [PMID: 34035562 PMCID: PMC8137357 DOI: 10.1016/j.snb.2021.130139] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 05/18/2023]
Abstract
Owing to the over-increasing demands in resisting and managing the coronavirus disease 2019 (COVID-19) pandemic, development of rapid, highly sensitive, accurate, and versatile tools for monitoring total antibody concentrations at the population level has been evolved as an urgent challenge on measuring the fatality rate, tracking the changes in incidence and prevalence, comprehending medical sequelae after recovery, as well as characterizing seroprevalence and vaccine coverage. To this end, herein we prepared highly luminescent quantum dot nanobeads (QBs) by embedding numerous quantum dots into polymer matrix, and then applied it as a signal-amplification label in lateral flow immunoassay (LFIA). After covalently linkage with the expressed recombinant SARS-CoV-2 spike protein (RSSP), the synthesized QBs were used to determine the total antibody levels in sera by virtue of a double-antigen sandwich immunoassay. Under the developed condition, the QB-LFIA can allow the rapid detection of SARS-CoV-2 total antibodies within 15 min with about one order of magnitude improvement in analytical sensitivity compared to conventional gold nanoparticle-based LFIA. In addition, the developed QB-LFIA performed well in clinical study in dynamic monitoring of serum antibody levels in the whole course of SARS-CoV-2 infection. In conclusion, we successfully developed a promising fluorescent immunological sensing tool for characterizing the host immune response to SARS-CoV-2 infection and confirming the acquired immunity to COVID-19 by evaluating the SRAS-CoV-2 total antibody level in the crowd.
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Affiliation(s)
- Yaofeng Zhou
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Yuan Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- Jiangxi YeLi Medical Device Co., Ltd, Nanchang 330096, PR China
| | - Wenjuan Liu
- Jiangxi Weibang Biological Technology Co. Ltd, Nanchang 330096, PR China
| | - Hao Fang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xiangmin Li
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang 330047, PR China
| | - Li Hou
- Jiangxi YeLi Medical Device Co., Ltd, Nanchang 330096, PR China
| | - Yuanjie Liu
- College of Information and Electrical Engineering, China Agricultural University, Haidian, Beijing 100083, PR China
| | - Weihua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- School of Food Science and Technology, Nanchang University, Nanchang 330047, PR China
- Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang 330047, PR China
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47
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Wang C, Cheng X, Liu L, Zhang X, Yang X, Zheng S, Rong Z, Wang S. Ultrasensitive and Simultaneous Detection of Two Specific SARS-CoV-2 Antigens in Human Specimens Using Direct/Enrichment Dual-Mode Fluorescence Lateral Flow Immunoassay. ACS APPLIED MATERIALS & INTERFACES 2021; 13:40342-40353. [PMID: 34412466 PMCID: PMC8386037 DOI: 10.1021/acsami.1c11461] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/12/2021] [Indexed: 05/18/2023]
Abstract
Sensitive point-of-care methods for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens in clinical specimens are urgently needed to achieve rapid screening of viral infection. We developed a magnetic quantum dot-based dual-mode lateral flow immunoassay (LFIA) biosensor for the high-sensitivity simultaneous detection of SARS-CoV-2 spike (S) and nucleocapsid protein (NP) antigens, which is beneficial for improving the detection accuracy and efficiency of SARS-CoV-2 infection in the point-of-care testing area. A high-performance magnetic quantum dot with a triple-QD shell (MagTQD) nanotag was first fabricated and integrated into the LFIA system to provide superior fluorescence signals, enrichment ability, and detectability for S/NP antigen testing. Two detection modes were provided by the proposed MagTQD-LFIA. The direct mode was used for rapid screening or urgent detection of suspected samples within 10 min, and the enrichment mode was used for the highly sensitive and quantitative analysis of SARS-CoV-2 antigens in biological samples without the interference of the "hook effect." The simultaneous detection of SARS-CoV-2 S/NP antigens was conducted in one LFIA strip, and the detection limits for two antigens under direct and enrichment modes were 1 and 0.5 pg/mL, respectively. The MagTQD-LFIA showed high accuracy, specificity, and stability in saliva and nasal swab samples and is an efficient tool with flexibility to meet the testing requirements for SARS-CoV-2 antigens in various situations.
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Affiliation(s)
- Chongwen Wang
- College
of Life Sciences, Anhui Agricultural University, Hefei 230036, P. R. China
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
- Beijing
Key Laboratory of New Molecular Diagnosis Technologies for Infectious
Diseases, Beijing 100850, P. R. China
| | - Xiaodan Cheng
- College
of Life Sciences, Anhui Agricultural University, Hefei 230036, P. R. China
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
| | - Liyan Liu
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
| | - Xiaochang Zhang
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
| | - Xingsheng Yang
- College
of Life Sciences, Anhui Agricultural University, Hefei 230036, P. R. China
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
| | - Shuai Zheng
- College
of Life Sciences, Anhui Agricultural University, Hefei 230036, P. R. China
| | - Zhen Rong
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
| | - Shengqi Wang
- Beijing
Institute of Radiation Medicine, Beijing 100850, P. R.
China
- Beijing
Key Laboratory of New Molecular Diagnosis Technologies for Infectious
Diseases, Beijing 100850, P. R. China
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48
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Yin X, Dou L, Yao X, Liu S, Zhang L, Zhao M, Su L, Sun J, Wang J, Zhang D. Controllable assembly metal-organic frameworks and gold nanoparticles composites for sensitive immunochromatographic assay. Food Chem 2021; 367:130737. [PMID: 34384985 DOI: 10.1016/j.foodchem.2021.130737] [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] [Received: 08/27/2020] [Revised: 07/25/2021] [Accepted: 07/29/2021] [Indexed: 02/08/2023]
Abstract
Creating universal signal labels from fundamental building blocks with excellent biocompatibility and well-controlled size/uniformity simultaneously for immunochromatographic assay (ICA) is highly desired but extremely challenging. Here, a nano-signal label strategy was reported, in which the amino-terminated zirconium MOFs (NU66) are adopted to construct powerful matrix materials and gold nanoparticles (AuNPs) act as the linker between metal-organic frameworks (MOFs) and antibodies. Particularly, AuNPs were immobilized directly on the surface of NU66, giving NU66 excellent biocompatibility with bright color signal labels and improving the salt ion stability of AuNPs. As a proof of concept, the furazolidone residues was monitored by the developed NU66@AuNPs-ICA in food samples (pork, shrimp and eggs). With 3-[(4-carboxyphenyl) monomethyl] amino-2-oxazolidinone (CPAOZ) as analyte target, the visual limit of detection (vLOD) and cut-off level were 0.6 ng/mL and 3.0 ng/mL, respectively. This work may open a new avenue for the application of MOFs in immunochromatography assays.
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Affiliation(s)
- Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China
| | - Leina Dou
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China
| | - Xiaolin Yao
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China
| | - Sijie Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China
| | - Liang Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China
| | - Man Zhao
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China
| | - Lihong Su
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR 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 712100, Shaanxi, PR China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China.
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49
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Algar WR, Massey M, Rees K, Higgins R, Krause KD, Darwish GH, Peveler WJ, Xiao Z, Tsai HY, Gupta R, Lix K, Tran MV, Kim H. Photoluminescent Nanoparticles for Chemical and Biological Analysis and Imaging. Chem Rev 2021; 121:9243-9358. [PMID: 34282906 DOI: 10.1021/acs.chemrev.0c01176] [Citation(s) in RCA: 123] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Research related to the development and application of luminescent nanoparticles (LNPs) for chemical and biological analysis and imaging is flourishing. Novel materials and new applications continue to be reported after two decades of research. This review provides a comprehensive and heuristic overview of this field. It is targeted to both newcomers and experts who are interested in a critical assessment of LNP materials, their properties, strengths and weaknesses, and prospective applications. Numerous LNP materials are cataloged by fundamental descriptions of their chemical identities and physical morphology, quantitative photoluminescence (PL) properties, PL mechanisms, and surface chemistry. These materials include various semiconductor quantum dots, carbon nanotubes, graphene derivatives, carbon dots, nanodiamonds, luminescent metal nanoclusters, lanthanide-doped upconversion nanoparticles and downshifting nanoparticles, triplet-triplet annihilation nanoparticles, persistent-luminescence nanoparticles, conjugated polymer nanoparticles and semiconducting polymer dots, multi-nanoparticle assemblies, and doped and labeled nanoparticles, including but not limited to those based on polymers and silica. As an exercise in the critical assessment of LNP properties, these materials are ranked by several application-related functional criteria. Additional sections highlight recent examples of advances in chemical and biological analysis, point-of-care diagnostics, and cellular, tissue, and in vivo imaging and theranostics. These examples are drawn from the recent literature and organized by both LNP material and the particular properties that are leveraged to an advantage. Finally, a perspective on what comes next for the field is offered.
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Affiliation(s)
- W Russ Algar
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Melissa Massey
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Kelly Rees
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Rehan Higgins
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Katherine D Krause
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Ghinwa H Darwish
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - William J Peveler
- School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow G12 8QQ, U.K
| | - Zhujun Xiao
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Hsin-Yun Tsai
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Rupsa Gupta
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Kelsi Lix
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Michael V Tran
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
| | - Hyungki Kim
- Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada
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Shi Y, Ye P, Yang K, Meng J, Guo J, Pan Z, Bayin Q, Zhao W. Application of Microfluidics in Immunoassay: Recent Advancements. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:2959843. [PMID: 34326976 PMCID: PMC8302407 DOI: 10.1155/2021/2959843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 06/30/2021] [Indexed: 12/14/2022]
Abstract
In recent years, point-of-care testing has played an important role in immunoassay, biochemical analysis, and molecular diagnosis, especially in low-resource settings. Among various point-of-care-testing platforms, microfluidic chips have many outstanding advantages. Microfluidic chip applies the technology of miniaturizing conventional laboratory which enables the whole biochemical process including reagent loading, reaction, separation, and detection on the microchip. As a result, microfluidic platform has become a hotspot of research in the fields of food safety, health care, and environmental monitoring in the past few decades. Here, the state-of-the-art application of microfluidics in immunoassay in the past decade will be reviewed. According to different driving forces of fluid, microfluidic platform is divided into two parts: passive manipulation and active manipulation. In passive manipulation, we focus on the capillary-driven microfluidics, while in active manipulation, we introduce pressure microfluidics, centrifugal microfluidics, electric microfluidics, optofluidics, magnetic microfluidics, and digital microfluidics. Additionally, within the introduction of each platform, innovation of the methods used and their corresponding performance improvement will be discussed. Ultimately, the shortcomings of different platforms and approaches for improvement will be proposed.
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Affiliation(s)
- Yuxing Shi
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Peng Ye
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Kuojun Yang
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jie Meng
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jiuchuan Guo
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Zhixiang Pan
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Qiaoge Bayin
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Wenhao Zhao
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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