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Jie H, Wang Y, Zhao M, Wang X, Wang Z, Zeng L, Cao X, Xu T, Xia F, Liu Q. Automatic ultrasensitive lateral flow immunoassay based on a color-enhanced signal amplification strategy. Biosens Bioelectron 2024; 256:116262. [PMID: 38621340 DOI: 10.1016/j.bios.2024.116262] [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: 12/11/2023] [Revised: 02/27/2024] [Accepted: 03/29/2024] [Indexed: 04/17/2024]
Abstract
Lateral flow immunoassays (LFIAs) are an essential and widely used point-of-care test for medical diagnoses. However, commercial LFIAs still have low sensitivity and specificity. Therefore, we developed an automatic ultrasensitive dual-color enhanced LFIA (DCE-LFIA) by applying an enzyme-induced tyramide signal amplification method to a double-antibody sandwich LFIA for antigen detection. The DCE-LFIA first specifically captured horseradish peroxidase (HRP)-labeled colored microspheres at the Test line, and then deposited a large amount of tyramide-modified signals under the catalytic action of HRP to achieve the color superposition. A limit of detection (LOD) of 3.9 pg/mL and a naked-eye cut-off limit of 7.8 pg/mL were achieved for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleoprotein. Additionally, in the inactivated virus detections, LOD equivalent to chemiluminescence (0.018 TCID50/mL) was obtained, and it had excellent specificity under the interference of other respiratory viruses. High sensitivity has also been achieved for detection of influenza A, influenza B, cardiac troponin I, and human chorionic gonadotrophin using this DCE-LFIA, suggesting the assay is universally applicable. To ensure the convenience and stability in practical applications, we created an automatic device. It provides a new practical option for point-of-care test immunoassays, especially ultra trace detection and at-home testing.
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Affiliation(s)
- Huiyang Jie
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Yu Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Meng Zhao
- Micro-nano Tech Center, Bioland Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Xiuzhen Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Zhong Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Lingliao Zeng
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China
| | - Xiaobao Cao
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China.
| | - Tao Xu
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China; School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, 511436, PR China
| | - Fan Xia
- Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, Hubei, 430074, PR China
| | - Qian Liu
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou, Guangdong, 510000, PR China; School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, Guangdong, 511436, PR China.
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Jiao S, Xie X, He Z, Sun Z, Wang Z, Zhang S, Cao H, Hammock BD, Liu X. Lateral Flow Immunochromatographic Assay for Competitive Detection of Crustacean Allergen Tropomyosin Using Phage-Displayed Shark Single-Domain Antibody. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:1811-1821. [PMID: 38166198 DOI: 10.1021/acs.jafc.3c07569] [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: 01/04/2024]
Abstract
The common food allergy crustacean tropomyosin (TM) poses a significant food safety challenge, which requires rapid and sensitive methods for screening TM in food. Herein, the variable new antigen receptor (VNAR) single-domain antibodies specific for the crustacean TM were isolated from a naïve phage-displayed shark VNAR library. Subsequently, a lateral flow immunochromatographic assay (LFIA) based on the gold nanoparticle-labeled phage-displayed shark VNAR (AuNPs@PSV) probe was developed for the detection of TM in food. The AuNPs@PSV-LFIA took 15 min for one test and had a visual limit of detection (vLOD) of 0.1 μg/mL and an instrumental LOD of 0.02 μg/mL. Good selectivity, accuracy, precision, and stability were confirmed for the AuNPs@PSV-LFIA. Moreover, the test results of 21 commercially available food products consisted of the allergen labels and were validated by a commercial ELISA kit. Therefore, this work demonstrated the great potential of VNAR for detecting TM in food by LFIA.
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Affiliation(s)
- Sujia Jiao
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Xiaoxia Xie
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Zhenyun He
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Zhichang Sun
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Zheming Wang
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Sihang Zhang
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Hongmei Cao
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Bruce D Hammock
- Department of Entomology and Nematology, and UC Davis Comprehensive Cancer Center, University of California, Davis, California 95616, United States
| | - Xing Liu
- School of Food Science and Engineering, Hainan University, Haikou 570228, China
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Jiao C, Duan W, Wu X, Shang Y, Zhang F, Zhang M, Chen X, Zeng J, Yang C. Multifunctional Nanoprobe-Amplified Enzyme-Linked Immunosorbent Assay on Capillary: A Universal Platform for Simple, Rapid, and Ultrasensitive Dual-Mode Pathogen Detection. Anal Chem 2023. [PMID: 37402321 DOI: 10.1021/acs.analchem.3c01375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Although the traditional enzyme-linked immunosorbent assay (ELISA) has been widely applied in pathogen detection and clinical diagnostics, it always suffers from complex procedures, a long incubation time, unsatisfying sensitivity, and a single signal readout. Here, we developed a simple, rapid, and ultrasensitive platform for dual-mode pathogen detection based on a multifunctional nanoprobe integrated with a capillary ELISA (CLISA) platform. The novel capture antibodies-modified capillaries can act as a swab to combine in situ trace sampling and detection procedures, eliminating the dissociation between sampling and detection in traditional ELISA assays. With excellent photothermal and peroxidase-like activity, the Fe3O4@MoS2 nanoprobe with a unique p-n heterojunction was chosen as an enzyme substitute and amplified signal tag to label the detection antibody for further sandwich immune sensing. As the analyte concentration increased, the Fe3O4@MoS2 probe could generate dual-mode signals, including remarkable color changes from the chromogenic substrate oxidation as well as photothermal enhancement. Moreover, to avoid false negative results, the excellent magnetic capability of the Fe3O4@MoS2 probe can be used to pre-enrich the trace analytes, amplifying the detection signal and enhancing the immunoassay's sensitivity. Under optimal conditions, specific and rapid detection of SARS-CoV-2 has been realized successfully based on this integrated nanoprobe-enhanced CLISA platform. The detection limits were 5.41 pg·mL-1 for the photothermal assay and 150 pg·mL-1 for the visual colorimetric assay. More importantly, the simple, affordable, and portable platform can also be expanded to rapidly detect other targets such as Staphylococcus aureus and Salmonella typhimurium in practical samples, making it a universal and attractive tool for multiple pathogen analysis and clinical testing in the post COVID-19 era.
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Affiliation(s)
- Chunpeng Jiao
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
| | - Wei Duan
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
| | - Xian Wu
- Department of Clinical Laboratory, Peking University First Hospital, Beijing 100034, China
- College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Yanxue Shang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
| | - Fangdou Zhang
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
| | - Maosheng Zhang
- College of Chemistry and Environment, Fujian Provincial Key Laboratory of Modern Analytical Science and Separation Technology, Minnan Normal University, Zhangzhou 363000, China
| | - Xi Chen
- College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Jingbin Zeng
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
| | - Chaoyong Yang
- College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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Xu X, Guo L, Xu L, Kuang H, Xu C, Liu L. Multiplex lateral flow immunochromatographic assay for the qualitative and quantitative detection of six steroid hormone residues in chicken and pork. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
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Mattarozzi M, Laski E, Bertucci A, Giannetto M, Bianchi F, Zoani C, Careri M. Metrological traceability in process analytical technologies and point-of-need technologies for food safety and quality control: not a straightforward issue. Anal Bioanal Chem 2023; 415:119-135. [PMID: 36367573 PMCID: PMC9816273 DOI: 10.1007/s00216-022-04398-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/12/2022] [Accepted: 10/21/2022] [Indexed: 11/13/2022]
Abstract
Traditional techniques for food analysis are based on off-line laboratory methods that are expensive and time-consuming and often require qualified personnel. Despite the high standards of accuracy and metrological traceability, these well-established methods do not facilitate real-time process monitoring and timely on-site decision-making as required for food safety and quality control. The future of food testing includes rapid, cost-effective, portable, and simple methods for both qualitative screening and quantification of food contaminants, as well as continuous, real-time measurement in production lines. Process automatization through process analytical technologies (PAT) is an increasing trend in the food industry as a way to achieve improved product quality, safety, and consistency, reduced production cycle times, minimal product waste or reworks, and the possibility for real-time product release. Novel methods of analysis for point-of-need (PON) screening could greatly improve food testing by allowing non-experts, such as consumers, to test in situ food products using portable instruments, smartphones, or even visual naked-eye inspections, or farmers and small producers to monitor products in the field. This requires the attention of the research community and devices manufacturers to ensure reliability of measurement results from PAT strategy and PON tests through the demonstration and critical evaluation of performance characteristics. The fitness for purpose of methods in real-life conditions is a priority that should not be overlooked in order to maintain an effective and harmonized food safety policy.
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Affiliation(s)
- Monica Mattarozzi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Eleni Laski
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Alessandro Bertucci
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Marco Giannetto
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Federica Bianchi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre CIPACK, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Claudia Zoani
- Department for Sustainability, Biotechnology and Agroindustry Division (SSPT-BIOAG), Casaccia Research Centre, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123, Rome, Italy
| | - Maria Careri
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy.
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy.
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Simultaneous Detection of Five Foodborne Pathogens Using a Mini Automatic Nucleic Acid Extractor Combined with Recombinase Polymerase Amplification and Lateral Flow Immunoassay. Microorganisms 2022; 10:microorganisms10071352. [PMID: 35889071 PMCID: PMC9322833 DOI: 10.3390/microorganisms10071352] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/29/2022] [Accepted: 07/02/2022] [Indexed: 12/10/2022] Open
Abstract
In recent years, foodborne disease outbreaks have caused huge losses to the economy and have had severe impacts on public health. The accuracy and variety of detection techniques is crucial to controlling the outbreak and spread of foodborne diseases. The need for instruments increases the difficulty of field detection, while manually-handled samples are subject to user error and subjective interpretation. Here, we use a mini automatic nucleic acid extractor combined with recombinant polymerase amplification (RPA) and lateral flow immunoassay (LFIA) for simultaneous quantitative detection of five major foodborne pathogens. The pre-treatment device using the magnetic bead method allows for nucleic acid extraction of the reagent tank without manual operation, which is highly efficient and stable for preventing aerosol contamination. The nuc gene of Staphylococcus aureus, the toxR gene of Vibrio parahaemolyticus, the rfbE gene of Escherichia coli O157:H7, the hlyA gene of Listeria monocytogenes, and the fimY gene of Salmonella enterica were used as target fragments. The labeled antibody concentration is optimized on the LFIA to find the equilibrium point for the binding capacity of the five chemical markers and to efficiently and accurately visualize the bands. The RPA assay shows an optimal performance at 37 °C for 15 min. The optimized RPA-LFIA detection limit can reach 101 CFU/mL. There was no cross-reactivity among forty-eight strains. Furthermore, the average recoveries in spiked food samples were 90.5–104.5%. In summary, the RPA-LFIA established in this study can detect five pathogenic bacteria simultaneously with little dependence on laboratory equipment, and it has promising prospects for screening in low-resource areas.
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