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Liu J, Shan S, Lai W, Chen Q, Jing X, Li R, Tan Y, Liu D, Peng J. Phage-based magnetic capture method as an aid for real-time recombinase polymerase amplification detection of Salmonella spp. in milk. J Dairy Sci 2024; 107:6528-6540. [PMID: 38754822 DOI: 10.3168/jds.2023-24237] [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: 09/25/2023] [Accepted: 02/28/2024] [Indexed: 05/18/2024]
Abstract
Salmonella is a major cause of foodborne diseases worldwide. Conventional rapid assays for detecting Salmonella in real samples often encounter severe matrix interference or detect a limited number of species of a genus, resulting in inaccurate detection. In this study, we developed a method that combined phage-based magnetic capture with real-time recombinase polymerase amplification (RPA) for the rapid, highly sensitive, and specific detection of Salmonella in milk with an ultra-low detection limit. The Felix O-1 phage-conjugated magnetic beads (O-1 pMBs) synthesized in this method showed excellent capture ability for Salmonella spp. and ideal specificity for non-Salmonella strains. After O-1 pMBs-based magnetic separation, the limit of detection of the real-time RPA assay was 50 cfu/mL in milk samples, which was significantly increased by a magnitude of 3 to 4 orders. The method exhibited a high sensitivity (compatibility) of 100% (14/14) for all tested Salmonella serotype strains and an ideal specificity (exclusivity) of 100% (7/7) for the tested non-Salmonella strains. The entire detection process, including Salmonella capture, DNA extraction, and real-time RPA detection, was completed within 1.5 h. Furthermore, milk samples spiked with 10 cfu/25 mL of Salmonella were detected positive after being cultured in buffered peptone water for only 3 h. Therefore, the proposed method could be an alternative for the rapid and accurate detection of Salmonella.
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Affiliation(s)
- Jie Liu
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China
| | - Shan Shan
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Centre for Disease Control and Prevention, Nanchang 330029, China; College of Life Science, National R&D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang 330022, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China
| | - Qi Chen
- National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Nanchang University, Nanchang 330031, China
| | - Xudong Jing
- State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China
| | - Rui Li
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Centre for Disease Control and Prevention, Nanchang 330029, China; Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330019, China
| | - Yucheng Tan
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Centre for Disease Control and Prevention, Nanchang 330029, China; Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330019, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Provincial Centre for Disease Control and Prevention, Nanchang 330029, China.
| | - Juan Peng
- School of Food Science, Nanchang University, Nanchang 330047, China.
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Mermiga E, Pagkali V, Kokkinos C, Economou A. An Aptamer-Based Lateral Flow Biosensor for Low-Cost, Rapid and Instrument-Free Detection of Ochratoxin A in Food Samples. Molecules 2023; 28:8135. [PMID: 38138623 PMCID: PMC10746035 DOI: 10.3390/molecules28248135] [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: 12/04/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023] Open
Abstract
In this work, a simple and cost-efficient aptasensor strip is developed for the rapid detection of OTA in food samples. The biosensor is based on the lateral flow assay concept using an OTA-specific aptamer for biorecognition of the target analyte. The strip consists of a sample pad, a conjugate pad, a nitrocellulose membrane (NC) and an absorbent pad. The conjugate pad is loaded with the OTA-specific aptamer conjugated with gold nanoparticles (AuNPs). The test line of the NC membrane is loaded with a specific OTA-aptamer probe and the control line is loaded with a control probe. The assay is based on a competitive format, where the OTA present in the sample combines with the OTA aptamer-AuNP conjugate and prevents the interaction between the specific probe immobilized on the test line and the OTA aptamer-AuNP conjugates; therefore, the color intensity of the test line decreases as the concentration of OTA in the sample increases. Qualitative detection of OTA is performed visually, while quantification is performed by reflectance colorimetry using a commercial scanner and image analysis. All the parameters of the assay are investigated in detail and the analytical features are established. The visual limit of detection (LOD) of the strip is 0.05 ng mL-1, while the LOD for semi-quantitative detection using reflectance colorimetry is 0.02 ng mL-1. The lateral flow strip aptasensor is applied to the detection of OTA in wine, beer, apple juice and milk samples with recoveries in the range from 91 to 114%. The assay exhibits a satisfactory selectivity for OTA with respect to other mycotoxins and lasts 20 min. Therefore, the lateral flow strip aptasensor could be useful for the rapid, low-cost and fit-for-purpose on-site detection of OTA in food samples.
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Affiliation(s)
| | | | | | - Anastasios Economou
- Department of Chemistry, National and Kapodistrian University of Athens, 157 71 Athens, Greece; (E.M.); (V.P.); (C.K.)
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Yang J, Wang X, Sun Y, Chen B, Hu F, Guo C, Yang T. Recent Advances in Colorimetric Sensors Based on Gold Nanoparticles for Pathogen Detection. BIOSENSORS 2022; 13:29. [PMID: 36671864 PMCID: PMC9856207 DOI: 10.3390/bios13010029] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/09/2022] [Accepted: 12/23/2022] [Indexed: 05/28/2023]
Abstract
Infectious pathogens cause severe threats to public health due to their frightening infectivity and lethal capacity. Rapid and accurate detection of pathogens is of great significance for preventing their infection. Gold nanoparticles have drawn considerable attention in colorimetric biosensing during the past decades due to their unique physicochemical properties. Colorimetric diagnosis platforms based on functionalized AuNPs are emerging as a promising pathogen-analysis technique with the merits of high sensitivity, low-cost, and easy operation. This review summarizes the recent development in this field. We first introduce the significance of detecting pathogens and the characteristics of gold nanoparticles. Four types of colorimetric strategies, including the application of indirect target-mediated aggregation, chromogenic substrate-mediated catalytic activity, point-of-care testing (POCT) devices, and machine learning-assisted colorimetric sensor arrays, are systematically introduced. In particular, three biomolecule-functionalized AuNP-based colorimetric sensors are described in detail. Finally, we conclude by presenting our subjective views on the present challenges and some appropriate suggestions for future research directions of colorimetric sensors.
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Affiliation(s)
- Jianyu Yang
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xin Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Yuyang Sun
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Bo Chen
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Fangxin Hu
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Chunxian Guo
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Ting Yang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
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Du Z, Lin S, Li J, Tian J, Xu W, Huang K, Liu Q, Sun Y. Nano-gold-enhanced LAMP method for qualitative visual detection of Salmonella in milk. Mikrochim Acta 2022; 189:365. [PMID: 36048255 DOI: 10.1007/s00604-022-05459-3] [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: 03/21/2022] [Accepted: 08/09/2022] [Indexed: 10/14/2022]
Abstract
Since Salmonella can cause foodborne disease and public health safety issues and requires a robust, rapid, on-site detection method, a novel visual qualitative method with nano-gold-enhanced loop-mediated isothermal amplification (LAMP) reaction was established for detecting Salmonella in an integrated tube. During the experiment, nano-gold were used to enhance LAMP amplification, improving amplification efficiency and shortening the reaction time to within 30 min. Visual qualitative detection is achieved via negative staining, involving the addition of CuSO4 to the final products of the LAMP reaction. Ring-like white accumulation occurs in the absence of Salmonella targets but not when they are present. After completing the LAMP reaction, the integration tube was shaken gently for 1 min to observe the liquid phase system changes, realizing the closed tube detection of Salmonella. The process resolved the challenge presented by cross-contamination, false positives, and nonspecific amplification during the LAMP reaction. This method was used to detect Salmonella in milk, further highlighting its prospects in the field of rapid food safety detection.
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Affiliation(s)
- ZaiHui Du
- College of Food Science and Nutritional Engineering (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China
| | - ShengHao Lin
- College of Food Science and Nutritional Engineering (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China
| | - JiaLe Li
- College of Food Science and Nutritional Engineering (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China
| | - JingJing Tian
- College of Food Science and Nutritional Engineering (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China
| | - WenTao Xu
- College of Food Science and Nutritional Engineering (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China. .,Key Laboratory of Agricultural Genetically Modified Organisms Safety Evaluation (Edible), Ministry of Agriculture, Beijing, 100083, China.
| | - KunLun Huang
- College of Food Science and Nutritional Engineering (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China.,Key Laboratory of Agricultural Genetically Modified Organisms Safety Evaluation (Edible), Ministry of Agriculture, Beijing, 100083, China
| | - QingLiang Liu
- Shandong Baier Testing Co., Ltd, No.1, Fuhua Lane 2, Weifang City, 261061, Shandong Province, China
| | - YanLi Sun
- Shandong Baier Testing Co., Ltd, No.1, Fuhua Lane 2, Weifang City, 261061, Shandong Province, China
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Feng X, Zhou D, Gan B, Xie G, Xu H. A Combination of Novel Nucleic Acid Cross-Linking Dye and Recombinase-Aided Amplification for the Rapid Detection of Viable Salmonella in Milk. Foods 2022; 11:foods11152375. [PMID: 35954141 PMCID: PMC9368416 DOI: 10.3390/foods11152375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 07/18/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022] Open
Abstract
Salmonella, as an important foodborne pathogen, can cause various diseases, such as severe enteritis. In recent years, various types of nucleicacid-intercalating dyes have been utilized to detect viable Salmonella. However, in principle, the performance of existing nucleic acid dyes is limited because they depend on the integrity of cell membrane. Herein, based on the metabolic activity of bacteria, a novel DNA dye called thiazole orange monoazide (TOMA) was introduced to block the DNA from dead bacteria. Recombinase-aided amplification (RAA) was then performed to detect viable Salmonella in samples. In this study, the permeability of TOMA to the cell membrane of Salmonella was evaluated via confocal laser scanning microscopy and fluorescence emission spectrometry. The limit of detection (LOD) of the TOMA–RAA method was 2.0 × 104 CFU/mL in pure culture. The feasibility of the TOMA–RAA method in detecting Salmonella was assessed in spiked milk. The LOD for Salmonella was 3.5 × 102 CFU/mL after 3 h of enrichment and 3.5 × 100 CFU/mL after 5 h of enrichment. The proposed TOMA–RAA assay has great potential to be applied to accurately detect and monitor foodborne pathogens in milk and its byproducts.
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Affiliation(s)
- Xiaoyan Feng
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Donggen Zhou
- Ningbo International Travel Healthcare Center (Ningbo Customs Port Outpatient Department), Ningbo 315010, China
| | - Bei Gan
- Institute for Testing of Industrial Products of Jiangxi General Institute of Testing and Certification, Nanchang 330047, China
| | - Guoyang Xie
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Hengyi Xu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
- Correspondence: or ; Tel.: +86-791-8830-4447 (ext. 9520); Fax: +86-791-8830-4400
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Manessis G, Gelasakis AI, Bossis I. Point-of-Care Diagnostics for Farm Animal Diseases: From Biosensors to Integrated Lab-on-Chip Devices. BIOSENSORS 2022; 12:455. [PMID: 35884258 PMCID: PMC9312888 DOI: 10.3390/bios12070455] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 02/06/2023]
Abstract
Zoonoses and animal diseases threaten human health and livestock biosecurity and productivity. Currently, laboratory confirmation of animal disease outbreaks requires centralized laboratories and trained personnel; it is expensive and time-consuming, and it often does not coincide with the onset or progress of diseases. Point-of-care (POC) diagnostics are rapid, simple, and cost-effective devices and tests, that can be directly applied on field for the detection of animal pathogens. The development of POC diagnostics for use in human medicine has displayed remarkable progress. Nevertheless, animal POC testing has not yet unfolded its full potential. POC devices and tests for animal diseases face many challenges, such as insufficient validation, simplicity, and portability. Emerging technologies and advanced materials are expected to overcome some of these challenges and could popularize animal POC testing. This review aims to: (i) present the main concepts and formats of POC devices and tests, such as lateral flow assays and lab-on-chip devices; (ii) summarize the mode of operation and recent advances in biosensor and POC devices for the detection of farm animal diseases; (iii) present some of the regulatory aspects of POC commercialization in the EU, USA, and Japan; and (iv) summarize the challenges and future perspectives of animal POC testing.
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Affiliation(s)
- Georgios Manessis
- Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece; (G.M.); (A.I.G.)
| | - Athanasios I. Gelasakis
- Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece; (G.M.); (A.I.G.)
| | - Ioannis Bossis
- Laboratory of Animal Husbandry, Department of Animal Production, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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