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Dong S, Zhu Z, Shi Q, He K, Wu J, Feng J. Development of aptamer surface-enhanced Raman spectroscopy sensor based on Fe 3O 4@Pt and Au@Ag nanoparticles for the determination of acetamiprid. Mikrochim Acta 2024; 191:289. [PMID: 38683210 DOI: 10.1007/s00604-024-06351-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/05/2024] [Indexed: 05/01/2024]
Abstract
As a common chlorinated nicotinic pesticide with high insecticidal activity, acetamiprid has been widely used for pest control. However, the irrational use of acetamiprid will pollute the environment and thus affect human health. Therefore, it is crucial to develop a simple, highly sensitive, and rapid method for acetamiprid residue detection. In this study, the capture probe (Fe3O4@Pt-Aptamer) was connected with the signal probe (Au@DTNB@Ag CS-cDNA) to form an assembly with multiple SERS-enhanced effects. Combined with magnetic separation technology, a SERS sensor with high sensitivity and stability was constructed to detect acetamiprid residue. Based on the optimal conditions, the SERS intensity measured at 1333 cm-1 is in relation to the concentration of acetamiprid in the range 2.25 × 10-9-2.25 × 10-5 M, and the calculated limit of detection (LOD) was 2.87 × 10-10 M. There was no cross-reactivity with thiacloprid, clothianidin, nitenpyram, imidacloprid, and chlorpyrifos, indicating that this method has good sensitivity and specificity. Finally, the method was applied to the detection of acetamiprid in cucumber samples, and the average recoveries were 94.19-103.58%, with RSD < 2.32%. The sensor can be used to analyse real samples with fast detection speed, high sensitivity, and high selectivity.
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Affiliation(s)
- Sa Dong
- College of Plant Protection, Yangzhou University, Yangzhou, 225009, China.
| | - Zixin Zhu
- College of Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Qiuyun Shi
- College of Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Kangli He
- College of Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Jianwei Wu
- College of Plant Protection, Yangzhou University, Yangzhou, 225009, China
| | - Jianguo Feng
- College of Plant Protection, Yangzhou University, Yangzhou, 225009, China.
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2
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Yao Y, Hou L, Wei F, Lin T, Zhao S. An intelligent readable and capture-antibody-independent lateral flow immunoassay based on Cu 2-xSe nanocrystals for point-of-care detection of Escherichia coli O157:H7. Analyst 2024; 149:357-365. [PMID: 38062973 DOI: 10.1039/d3an01694c] [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: 01/16/2024]
Abstract
Escherichia coli (E. coli) O157:H7 is a common foodborne pathogen which can cause serious harm. It is particularly important to establish a simple and portable method to achieve on-site pathogen detection. In this study, a capture-antibody-independent lateral flow immunoassay (LFIA) was constructed based on Cu2-xSe nanocrystals (Cu2-xSe NCs) for rapid detection of E. coli O157:H7. Cu2-xSe NCs can not only be regarded as the "nano-antibody" for the recognition of E. coli O157:H7 through electrostatic adsorption, but also as nanozymes that show good peroxidase-like catalytic activity. The formed compound of E. coli O157:H7 and Cu2-xSe NCs would be captured by a detection antibody on the T line due to the specific recognition of the antibody and E. coli O157:H7. Then, Cu2-xSe NCs could catalyze the oxidation of TMB by H2O2 to generate oxTMB, thereby generating blue bands. Meanwhile, we developed a mobile app for rapid data analysis. Under the optimal reaction conditions, E. coli O157:H7 could be detected within 70 min. The detection limit of this method was 2.65 × 105 CFU mL-1 with good specificity and stability. Additionally, it could achieve on-site rapid detection of E. coli O157:H7 in environmental water samples, providing a promising biosensor for portable pathogen detection.
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Affiliation(s)
- Yiyun Yao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Li Hou
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Fenghuang Wei
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Tianran Lin
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Shulin Zhao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
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3
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Duan M, Li B, He Y, Zhao Y, Liu Y, Zou B, Liu Y, Chen J, Dai R, Li X, Jia F. A CG@MXene nanocomposite-driven E-CRISPR biosensor for the rapid and sensitive detection of Salmonella Typhimurium in food. Talanta 2024; 266:125011. [PMID: 37544254 DOI: 10.1016/j.talanta.2023.125011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 07/19/2023] [Accepted: 07/28/2023] [Indexed: 08/08/2023]
Abstract
In this study, we developed a novel electrochemical biosensor based on CRISPR/Cas12a (E-CRISPR) for the rapid and sensitive detection of Salmonella Typhimurium (S. Typhimurium). The CRISPR/Cas12a system was applied to identify S. Typhimurium gene and induce signal changes in electrochemical measurement. The colloidal gold and MXene (CG@MXene) nanocomposites were synthesized and immobilized to improve the performance of the biosensor by decreasing the background noise. The formation process of CG@MXene was well characterized, and experiment conditions were fully optimized. Under the optimal conditions, the proposed E-CRISPR biosensor exhibited excellent sensitivity for S. Typhimurium, with a limit of detection (LOD) of 160 CFU/mL, and great specificity against other common foodborne pathogens. Furthermore, the feasibility of the E-CRISPR biosensor was evaluated by analyzing S. Typhimurium-spiked chicken samples, with a recovery rate ranging from 100.46% to 106.37%. In summary, this research proposed a novel E-CRISPR biosensor from a new perspective to detect S. Typhimurium which can be an alternative approach for bacterial detection in the food supply chain.
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Affiliation(s)
- Miaolin Duan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Bingyan Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yawen He
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Yijie Zhao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yana Liu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Bo Zou
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yi Liu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Juhong Chen
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Ruitong Dai
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Xingmin Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Fei Jia
- Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, 72701, USA.
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4
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Yu X, Pu H, Sun DW. Developments in food neonicotinoids detection: novel recognition strategies, advanced chemical sensing techniques, and recent applications. Crit Rev Food Sci Nutr 2023:1-19. [PMID: 38149655 DOI: 10.1080/10408398.2023.2290698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Neonicotinoid insecticides (NEOs) are a new class of neurotoxic pesticides primarily used for pest control on fruits and vegetables, cereals, and other crops after organophosphorus pesticides (OPPs), carbamate pesticides (CBPs), and pyrethroid pesticides. However, chronic abuse and illegal use have led to the contamination of food and water sources as well as damage to ecological and environmental systems. Long-term exposure to NEOs may pose potential risks to animals (especially bees) and even human health. Consequently, it is necessary to develop effective, robust, and rapid methods for NEOs detection. Specific recognition-based chemical sensing has been regarded as one of the most promising detection tools for NEOs due to their excellent selectivity, sensitivity, and robust interference resistance. In this review, we introduce the novel recognition strategies-enabled chemical sensing in food neonicotinoids detection in the past years (2017-2023). The properties and advantages of molecular imprinting recognition (MIR), host-guest recognition (HGR), electron-catalyzed recognition (ECR), immune recognition (IR), aptamer recognition (AR), and enzyme inhibition recognition (EIR) in the development of NEOs sensing platforms are discussed in detail. Recent applications of chemical sensing platforms in various food products, including fruits and vegetables, cereals, teas, honey, aquatic products, and others are highlighted. In addition, the future trends of applying chemical sensing with specific recognition strategies for NEOs analysis are discussed.
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Affiliation(s)
- Xinru Yu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China
- Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
- Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland
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Sun Y, Deng X, Luo C, Ma W, Liu W, Wang J, Li Q, Bu T, Zhang X. Time-resolved fluorescence microspheres-antibody-penicillin-binding protein assisted construction of immunochromatographic assay for sensitive detection of 22 β-lactams in milk. Mikrochim Acta 2023; 191:50. [PMID: 38141100 DOI: 10.1007/s00604-023-06106-1] [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: 07/26/2023] [Accepted: 11/15/2023] [Indexed: 12/24/2023]
Abstract
A sensitive immunochromatographic assay (ICA) using time-resolved fluorescence microspheres (TRFMs) coupled with an indirect-labeling mode was developed for simultaneously determining 22 kinds of β-lactams in milk samples. The TRFMs labeled anti-receptor monoclonal antibodies (mAbs) conjugated to penicillin-binding proteins (PBPs) as ternary TRFMs-mAb-PBPs (TMP) nanoscaffolds provide excellent solubility, brightness, and stability. Thanks to the fact that they not only fully expose the binding sites of PBPs, thereby enhancing the biological affinity of PBPs towards the target, but also generated superb fluorescence signals, the versatile TMP manifested unique possibilities as efficient probes for ICA with remarkable enhancement in sensitivity in β-lactams screening. The results showed that the standard curves of the 22 varying β-lactams displayed linearity in their respective concentration ranges (R2 > 0.98), with the cutoff values of 1-100 ng/mL. The constructed TMP-ICA was successfully applied to the analysis of real milk, with consistent results compared with liquid chromatography-tandem mass spectrometry (LC-MS), providing an effective method for sensing β-lactams in food matrices.
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Affiliation(s)
- Yawei Sun
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, People's Republic of China
| | - Xiangjie Deng
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, People's Republic of China
| | - Changwei Luo
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China
| | - Wentao Ma
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China
| | - Wanjing Liu
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China
| | - Jinkui Wang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China
| | - Qingyue Li
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China
| | - Tong Bu
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
| | - Xiya Zhang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
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Zhang C, Guo M, Dong J, Liu L, Zhou X, Wu J. Visual and Super-Sensitive Detection of Maize Chlorotic Mottle Virus by Dot-ELISA and Au Nanoparticle-Based Immunochromatographic Test Strip. Viruses 2023; 15:1607. [PMID: 37515293 PMCID: PMC10383747 DOI: 10.3390/v15071607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023] Open
Abstract
Maize chlorotic mottle virus (MCMV) is the only species in the Mahromovirus genus and is often co-infected with one or several viruses of the Potyvirus genus, posing a great threat to the global maize industry. Effective viral integrated management measures are dependent on the timely and proper detection of the causal agent of the disease. In this work, six super-sensitive and specific monoclonal antibodies (mAbs) against MCMV were first prepared using purified MCMV virions as the immunogen. Then, the Dot enzyme-linked immunosorbent assay (Dot-ELISA) was established based on the obtained mAbs, and it can detect MCMV in infected maize leaf crude extracts diluted up to 1:10,240-fold (w/v, g/mL). Furthermore, a rapid and user-friendly Au nanoparticle-based immunochromatographic test strip (AuNP-ICTS) based on paired mAbs 7B12 and 17C4 was created for monitoring MCMV in point-of-care tests, and it can detect the virus in a 25,600-fold dilution (w/v, g/mL) of MCMV-infected maize leaf crude extracts. The whole test process for ICTS was completed in 10 min. Compared with conventional reverse transcription-polymerase chain reaction (RT-PCR), the detection endpoint of both serological methods is higher than that of RT-PCR, especially the Dot-ELISA, which is 12.1 times more sensitive than that of RT-PCR. In addition, the detection results of 20 blinded maize samples by the two serological assays were consistent with those of RT-PCR. Therefore, the newly created Dot-ELISA and AuNP-ICTS exhibit favorable application potential for the detection of MCMV in plant samples.
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Affiliation(s)
- Cui Zhang
- State Key Laboratory of Rice Biology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Mengmeng Guo
- State Key Laboratory of Rice Biology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Jinxi Dong
- State Key Laboratory of Rice Biology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China
- Hainan Institute, Zhejiang University, Sanya 572025, China
| | - Li Liu
- The Department of Applied Engineering, Zhejiang Economic and Trade Polytechnic, Hangzhou 310018, China
| | - Xueping Zhou
- State Key Laboratory of Rice Biology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jianxiang Wu
- State Key Laboratory of Rice Biology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China
- Hainan Institute, Zhejiang University, Sanya 572025, China
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7
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Jiang Y, Zhu P, Zhao J, Li S, Wu Y, Xiong X, Zhang X, Liu Y, Bai J, Wang Z, Xu S, Wang M, Song T, Wang Z, Wang W, Han J. Sensitive biosensors based on topological insulator Bi 2Se 3 and peptide. Anal Chim Acta 2023; 1239:340655. [PMID: 36628700 DOI: 10.1016/j.aca.2022.340655] [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: 09/19/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 11/23/2022]
Abstract
In this work, we designed a facile and label-free electrochemical biosensor based on intrinsic topological insulator (TI) Bi2Se3 and peptide for the detection of immune checkpoint molecules. With topological protection, Bi2Se3 could have robust surface states with low electronic noise, which was beneficial for the stable and sensitive electron transport between electrode and electrolyte interface. The peptides are easily synthesized and chemically modified, and have good biocompatibility and bioavailability, which is a suitable candidate as the recognition units for immune checkpoint molecules. Therefore, the peptide/Bi2Se3 was developed as a suitable working electrode for the electrochemical biosensor. The basic performance of the designed peptide/Bi2Se3 biosensor was investigated to determine the Anti-HA Tag Antibody and PD-L1 molecules. The linear detection range was from 3.6 × 10-10 mg mL-1 to 3.6 × 10-5 mg mL-1, and the detection limit was 1.07 × 10-11 mg mL-1. Moreover, the biosensor also displayed good selectivity and stability.
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Affiliation(s)
- Yujiu Jiang
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Peng Zhu
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Jinge Zhao
- Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Key Laboratory of Cluster Science of Ministry of Education, Beijing Key Laboratory of Photoelectronic/Electro-photonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Shanshan Li
- Department of Rheumatology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Yetong Wu
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Xiaolu Xiong
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Xu Zhang
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Yuxiang Liu
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Jiangyue Bai
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Zihang Wang
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Shiqi Xu
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Minxuan Wang
- Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Key Laboratory of Cluster Science of Ministry of Education, Beijing Key Laboratory of Photoelectronic/Electro-photonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Tinglu Song
- Experimental Centre of Advanced Materials School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Zhiwei Wang
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
| | - Weizhi Wang
- Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Key Laboratory of Cluster Science of Ministry of Education, Beijing Key Laboratory of Photoelectronic/Electro-photonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Junfeng Han
- Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314019, China; Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China.
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8
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Wang W, Yang X, Rong Z, Tu Z, Zhang X, Gu B, Wang C, Wang S. Introduction of graphene oxide-supported multilayer-quantum dots nanofilm into multiplex lateral flow immunoassay: A rapid and ultrasensitive point-of-care testing technique for multiple respiratory viruses. NANO RESEARCH 2022; 16:3063-3073. [PMID: 36312892 PMCID: PMC9589541 DOI: 10.1007/s12274-022-5043-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/09/2022] [Accepted: 09/11/2022] [Indexed: 06/16/2023]
Abstract
UNLABELLED A lateral flow immunoassay (LFA) biosensor that allows the sensitive and accurate identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other common respiratory viruses remains highly desired in the face of the coronavirus disease 2019 pandemic. Here, we propose a multiplex LFA method for the on-site, rapid, and highly sensitive screening of multiple respiratory viruses, using a multilayered film-like fluorescent tag as the performance enhancement and signal amplification tool. This film-like three-dimensional (3D) tag was prepared through the layer-by-layer assembly of highly photostable CdSe@ZnS-COOH quantum dots (QDs) onto the surfaces of monolayer graphene oxide nanosheets, which can provide larger reaction interfaces and specific active surface areas, higher QD loads, and better luminescence and dispersibility than traditional spherical fluorescent microspheres for LFA applications. The constructed fluorescent LFA biosensor can simultaneously and sensitively quantify SARS-CoV-2, influenza A virus, and human adenovirus with low detection limits (8 pg/mL, 488 copies/mL, and 471 copies/mL), short assay time (15 min), good reproducibility, and high accuracy. Moreover, our proposed assay has great potential for the early diagnosis of respiratory virus infections given its robustness when validated in real saliva samples. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material (Section S1 Experimental section, Section S2 Calculation of the maximum number of QDs on the GO@TQD nanofilm, Section S3 Optimization of the LFA method, and Figs. S1-S17 mentioned in the main text) is available in the online version of this article at 10.1007/s12274-022-5043-6.
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Affiliation(s)
- Wenqi Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
- College of Life Sciences, Anhui Agricultural University, Hefei, 230036 China
| | - Xingsheng Yang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
| | - Zhen Rong
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
| | - Zhijie Tu
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
| | - Xiaochang Zhang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
| | - Bing Gu
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000 China
| | - Chongwen Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
- College of Life Sciences, Anhui Agricultural University, Hefei, 230036 China
- Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000 China
| | - Shengqi Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing, 100850 China
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9
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Qiao W, He B, Ren W, Zhao R, Suo Z, Yan H, Xu Y, Wei M, Jin H. Colloidal Au sphere and nanoflower-based immunochromatographic strips for sensitive detection of zearalenone in cereals. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3831-3839. [PMID: 36168770 DOI: 10.1039/d2ay01365g] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Zearalenone (ZEN), also known as an F-2 toxin, is a secondary metabolite in the toxic Fusarium species with estrogen properties. ZEN and its derivatives can cause developmental and reproductive disorders in humans and other mammals. In this study, colloidal Au spheres (AuSPs) and Au nanoflowers (AuNFs) were used as signal labels to detect ZEN in cereals, and the critical factors affecting the sensitivity of the immunochromatographic strip (ICS), namely the volume of antigen, antibody, and probe quantities were optimized and compared in detail. Since the large specific surface area of AuNFs reduces the steric hindrance of proteins, it is more conducive to improving the fixation rate of antibodies and proteins. Compared with the traditional colloidal AuSP immunochromatographic strip (AuSP-ICS), the volume of the antibody used in the AuNF immunochromatographic strip (AuNF-ICS) was 0.6 times that in the AuSPs-ICS. At the same antigen volume, a lower amount of probe can achieve the desired visual detection effect and higher sensitivity. For the AuNF-ICS, the limit of detection (LOD) was as low as 0.08 ng mL-1. ZEN could be detected quickly and accurately from 0.08-10.2 ng mL-1. And the AuNF-ICS had a high degree of specificity and sensitivity to ZEN. In summary, the AuNF-ICS serves as a valuable tool in large-scale on-site detection of ZEN.
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Affiliation(s)
- Weili Qiao
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Baoshan He
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Wenjie Ren
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Renyong Zhao
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Zhiguang Suo
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Haoyang Yan
- School of International Education, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China
| | - Yiwei Xu
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Min Wei
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
| | - Huali Jin
- School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
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