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Chen G, Yang G, Wang Y, Deng M, Wang Z, Aguilar ZP, Xu H. Antibiotic-Based Magnetic Nanoprobes Combined with mPCR for Simultaneous Detection of Staphylococcus aureus and Bacillus cereus. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02026-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Wang Z, Cai R, Gao Z, Yuan Y, Yue T. Immunomagnetic separation: An effective pretreatment technology for isolation and enrichment in food microorganisms detection. Compr Rev Food Sci Food Saf 2020; 19:3802-3824. [PMID: 33337037 DOI: 10.1111/1541-4337.12656] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 09/17/2020] [Accepted: 09/24/2020] [Indexed: 12/24/2022]
Abstract
The high efficiency and accurate detection of foodborne pathogens and spoilage microorganisms in food are a task of great social, economic, and public health importance. However, the contamination levels of target bacteria in food samples are very low. Owing to the background interference of food ingredients and negative impact of nontarget flora, the establishment of efficient pretreatment techniques is very crucial for the detection of food microorganisms. With the significant advantages of high specificity and great separation efficiency, immunomagnetic separation (IMS) assay based on immunomagnetic particles (IMPs) has been considered as a powerful system for the separation and enrichment of target bacteria. This paper mainly focuses on the development of IMS as well as their application in food microorganisms detection. First, the basic principle of IMS in the concentration of food bacteria is presented. Second, the effect of different factors, including the sizes of magnetic particles (MPs), immobilization of antibody and operation parameters (the molar ratio of antibody to MPs, the amount of IMPs, incubation time, and bacteria concentration) on the immunocapture efficiency of IMPs are discussed. The performance of IMPs in different food samples is also evaluated. Finally, the combination of IMS and various kinds of detection methods (immunology-based methods, nucleic acid-based methods, fluorescence methods, and biosensors) to detect pathogenic and spoilage organisms is summarized. The challenges and future trends of IMS are also proposed. As an effective pretreatment technique, IMS can improve the detection sensitivity and shorten their testing time, thus exhibiting broad prospect in the field of food bacteria detection.
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Affiliation(s)
- Zhouli Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Laboratory of Quality & Safety Risk Assessment for Agro-products (YangLing), Ministry of Agriculture, Yangling, Shaanxi, China.,National Engineering Research Center of Agriculture Integration Test (Yangling), Yangling, Shaanxi, China
| | - Rui Cai
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Laboratory of Quality & Safety Risk Assessment for Agro-products (YangLing), Ministry of Agriculture, Yangling, Shaanxi, China.,National Engineering Research Center of Agriculture Integration Test (Yangling), Yangling, Shaanxi, China
| | - Zhenpeng Gao
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Laboratory of Quality & Safety Risk Assessment for Agro-products (YangLing), Ministry of Agriculture, Yangling, Shaanxi, China.,National Engineering Research Center of Agriculture Integration Test (Yangling), Yangling, Shaanxi, China
| | - Yahong Yuan
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Laboratory of Quality & Safety Risk Assessment for Agro-products (YangLing), Ministry of Agriculture, Yangling, Shaanxi, China.,National Engineering Research Center of Agriculture Integration Test (Yangling), Yangling, Shaanxi, China
| | - Tianli Yue
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Laboratory of Quality & Safety Risk Assessment for Agro-products (YangLing), Ministry of Agriculture, Yangling, Shaanxi, China.,National Engineering Research Center of Agriculture Integration Test (Yangling), Yangling, Shaanxi, China
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Zhang T, Zhang W, Ai D, Zhang R, Lu Q, Luo Q, Shao H. Prevalence and characterization of Clostridium perfringens in broiler chickens and retail chicken meat in central China. Anaerobe 2018; 54:100-103. [DOI: 10.1016/j.anaerobe.2018.08.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 08/03/2018] [Accepted: 08/17/2018] [Indexed: 11/28/2022]
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Ultrasensitive Electrochemical Detection of Clostridium perfringens DNA Based Morphology-Dependent DNA Adsorption Properties of CeO₂ Nanorods in Dairy Products. SENSORS 2018; 18:s18061878. [PMID: 29890646 PMCID: PMC6022109 DOI: 10.3390/s18061878] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 06/04/2018] [Accepted: 06/06/2018] [Indexed: 01/04/2023]
Abstract
Foodborne pathogens such as Clostridium perfringens can cause diverse illnesses and seriously threaten to human health, yet far less attention has been given to detecting these pathogenic bacteria. Herein, two morphologies of nanoceria were synthesized via adjusting the concentration of NaOH, and CeO₂ nanorod has been utilized as sensing material to achieve sensitive and selective detection of C. perfringens DNA sequence due to its strong adsorption ability towards DNA compared to nanoparticle. The DNA probe was tightly immobilized on CeO₂/chitosan modified electrode surface via metal coordination, and the DNA surface density was 2.51 × 10−10 mol/cm². Under optimal experimental conditions, the electrochemical impedance biosensor displays favorable selectivity toward target DNA in comparison with base-mismatched and non-complementary DNA. The dynamic linear range of the proposed biosensor for detecting oligonucleotide sequence of Clostridium perfringens was from 1.0 × 10−14 to 1.0 × 10−7 mol/L. The detection limit was 7.06 × 10−15 mol/L. In comparison, differential pulse voltammetry (DPV) method quantified the target DNA with a detection limit of 1.95 × 10−15 mol/L. Moreover, the DNA biosensor could detect C. perfringens extracted DNA in dairy products and provided a potential application in food quality control.
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Detection of Alicyclobacillus spp. in Fruit Juice by Combination of Immunomagnetic Separation and a SYBR Green I Real-Time PCR Assay. PLoS One 2015; 10:e0141049. [PMID: 26488469 PMCID: PMC4619346 DOI: 10.1371/journal.pone.0141049] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 10/01/2015] [Indexed: 02/07/2023] Open
Abstract
An approach based on immunomagnetic separation (IMS) and SYBR Green I real-time PCR (real-time PCR) with species-specific primers and melting curve analysis was proposed as a rapid and effective method for detecting Alicyclobacillus spp. in fruit juices. Specific primers targeting the 16S rDNA sequences of Alicyclobacillus spp. were designed and then confirmed by the amplification of DNA extracted from standard strains and isolates. Spiked samples containing known amounts of target bacteria were used to obtain standard curves; the correlation coefficient was greater than 0.986 and the real-time PCR amplification efficiencies were 98.9%- 101.8%. The detection limit of the testing system was 2.8×101 CFU/mL. The coefficient of variation for intra-assay and inter-assay variability were all within the acceptable limit of 5%. Besides, the performance of the IMS-real-time PCR assay was further investigated by detecting naturally contaminated kiwi fruit juice; the sensitivity, specificity and accuracy were 91.7%, 95.9% and 95.3%, respectively. The established IMS-real-time PCR procedure provides a new method for identification and quantitative detection of Alicyclobacillus spp. in fruit juice.
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Lin Y, Hamme AT. Gold Nanoparticle Labeling Based ICP-MS Detection/Measurement of Bacteria, and Their Quantitative Photothermal Destruction. J Mater Chem B 2015; 3:3573-3582. [PMID: 26417447 PMCID: PMC4582679 DOI: 10.1039/c5tb00223k] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Bacteria such as Salmonella and E. coli present a great challenge in public health care in today's society. Protection of public safety against bacterial contamination and rapid diagnosis of infection require simple and fast assays for the detection and elimination of bacterial pathogens. After utilizing Salmonella DT104 as an example bacterial strain for our investigation, we report a rapid and sensitive assay for the qualitative and quantitative detection of bacteria by using antibody affinity binding, popcorn shaped gold nanoparticle (GNPOPs) labeling, surfance enchanced Raman spectroscopy (SERS), and inductively coupled plasma mass spectrometry (ICP-MS) detection. For qualitative analysis, our assay can detect Salmonella within 10 min by Raman spectroscopy; for quantitative analysis, our assay has the ability to measure as few as 100 Salmonella DT104 in a 1 mL sample (100 CFU/mL) within 40 min. Based on the quantitative detection, we investigated the quantitative destruction of Salmonella DT104, and the assay's photothermal efficiency in order to reduce the amount of GNPOPs in the assay to ultimately to eliminate any potential side effects/toxicity to the surrounding cells in vivo. Results suggest that our assay may serve as a promising candidate for qualitative and quantitative detection and elimination of a variety of bacterial pathogens.
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Affiliation(s)
- Yunfeng Lin
- Department of Chemistry and Biochemistry, Jackson State University, 1400 J R Lynch street, Jackson, MS 39217, USA
| | - Ashton T. Hamme
- Department of Chemistry and Biochemistry, Jackson State University, 1400 J R Lynch street, Jackson, MS 39217, USA
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Wang L, Li P, Yang Y, Xu H, Aguilar ZP, Xu H, Yang L, Xu F, Lai W, Xiong Y, Wei H. Development of an immunomagnetic separation–propidium monoazide–polymerase chain reaction assay with internal amplification control for rapid and sensitive detection of viable Escherichia coli O157:H7 in milk. Int Dairy J 2014. [DOI: 10.1016/j.idairyj.2013.07.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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Wang Z, Cai R, Yuan Y, Niu C, Hu Z, Yue T. An immunomagnetic separation-real-time PCR system for the detection of Alicyclobacillus acidoterrestris in fruit products. Int J Food Microbiol 2014; 175:30-5. [PMID: 24531036 DOI: 10.1016/j.ijfoodmicro.2014.01.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 01/10/2014] [Accepted: 01/22/2014] [Indexed: 11/18/2022]
Abstract
Alicyclobacillus acidoterrestris is the most important spoilage species within the Alicyclobacillus genus and has become a major issue in the pasteurized fruit juice industry. The aim of this study was to develop a method combining immunomagnetic separation (IMS) with real-time PCR system (IMS-PCR) for rapid and specific detection of A. acidoterrestris in fruit products. A real-time PCR with the TaqMan system was designed to target the 16S rDNA genes with specific primer and probe set. The specificity of the assay was confirmed using 9 A. acidoterrestris strains and 21 non-A. acidoterrestris strains. The results indicated that no combination of the designed primers and probe was found in any Alicyclobacillus genus except A. acidoterrestris. The detection limit of the established IMS-PCR was less than 10CFU/mL and the testing process was accomplished in 2-3h. For the three types of samples (sterile water, apple juice and kiwi juice), the correlation coefficient of standard curves was greater than 0.991, and the calculated PCR efficiencies were from 108% to 109%. As compared with the standard culture method performed concurrently on the same set of samples, the sensitivity, specificity and accuracy of IMS-PCR for 196 naturally contaminated fruit products were 90.0%, 98.3% and 97.5%, respectively. The results exhibited that the proposed IMS-PCR method was effective for the rapid detection of A. acidoterrestris in fruit products.
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Affiliation(s)
- Zhouli Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Rui Cai
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yahong Yuan
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chen Niu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhongqiu Hu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Tianli Yue
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China.
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Shim WB, Song JE, Mun H, Chung DH, Kim MG. Rapid colorimetric detection of Salmonella typhimuriumusing a selective filtration technique combined with antibody–magnetic nanoparticle nanocomposites. Anal Bioanal Chem 2013; 406:859-66. [DOI: 10.1007/s00216-013-7497-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 10/31/2013] [Accepted: 11/07/2013] [Indexed: 10/25/2022]
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Wang Z, Wang J, Yue T, Yuan Y, Cai R, Niu C. Immunomagnetic separation combined with polymerase chain reaction for the detection of Alicyclobacillus acidoterrestris in apple juice. PLoS One 2013; 8:e82376. [PMID: 24349270 PMCID: PMC3857787 DOI: 10.1371/journal.pone.0082376] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Accepted: 10/29/2013] [Indexed: 11/23/2022] Open
Abstract
A combination of immunomagnetic separation (IMS) and polymerase chain reaction (PCR) was used to detect Alicyclobacillus acidoterrestris (A. acidoterrestris) in apple juice. The optimum technological parameters of the IMS system were investigated. The results indicated that the immunocapture reactions could be finished in 60 min and the quantity of IMPs used for IMS was 2.5 mg/mL. Then the combined IMS-PCR procedure was assessed by detecting A. acidoterrestris in apple juice samples. The agarose gel electrophoresis results of 20 different strains showed that the IMS-PCR procedure presented high specificity to the A. acidoterrestris. The sensitivity of the IMS-PCR was 2×101 CFU/mL and the total detection time was 3 to 4 h. Of the 78 naturally contaminated apple juice samples examined, the sensitivity, specificity and accuracy of IMS-PCR compared with the standardized pour plate method were 90.9%, 97.0% and 96.2%, respectively. The results exhibited that the developed IMS-PCR method will be a valuable tool for detecting A. acidoterrestris and improving food quality in juice samples.
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Affiliation(s)
- Zhouli Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China
| | - Jun Wang
- College of Food Science and Engineering, XuChang University, XuChang, Henan, China
| | - Tianli Yue
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China
- * E-mail:
| | - Yahong Yuan
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China
| | - Rui Cai
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China
| | - Chen Niu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China
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Bai Y, Song M, Cui Y, Shi C, Wang D, Paoli GC, Shi X. A rapid method for the detection of foodborne pathogens by extraction of a trace amount of DNA from raw milk based on amino-modified silica-coated magnetic nanoparticles and polymerase chain reaction. Anal Chim Acta 2013; 787:93-101. [PMID: 23830426 DOI: 10.1016/j.aca.2013.05.043] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2012] [Revised: 05/20/2013] [Accepted: 05/23/2013] [Indexed: 11/29/2022]
Abstract
A method based on amino-modified silica-coated magnetic nanoparticles (ASMNPs) and polymerase chain reaction (PCR) was developed to rapidly and sensitively detect foodborne pathogens in raw milk. After optimizing parameters such as pH, temperature, and time, a trace amount of genomic DNA of pathogens could be extracted directly from complex matrices such as raw milk using ASMNPs. The magnetically separated complexes of genomic DNA and ASMNPs were directly subjected to single PCR (S-PCR) or multiplex PCR (M-PCR) to detect single or multiple pathogens from raw milk samples. Salmonella Enteritidis (Gram-negative) and Listeria monocytogenes (Gram-positive) were used as model organisms to artificially contaminate raw milk samples. After magnetic separation and S-PCR, the detection sensitivities were 8 CFU mL(-1) and 13 CFU mL(-1) respectively for these two types of pathogens. Furthermore, this method was successfully used to detect multiple pathogens (S. Enteritidis and L. monocytogenes) from artificially contaminated raw milk using M-PCR at sensitivities of 15 CFU mL(-1) and 25 CFU mL(-1), respectively. This method has great potential to rapidly and sensitively detect pathogens in raw milk or other complex food matrices.
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Affiliation(s)
- Yalong Bai
- MOST-USDA Joint Research Center for Food Safety & Bor Luh Food Safety Center, School of Agriculture and Biology & State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, PR China.
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Krizkova S, Jilkova E, Krejcova L, Cernei N, Hynek D, Ruttkay-Nedecky B, Sochor J, Kynicky J, Adam V, Kizek R. Rapid superparamagnetic-beads-based automated immunoseparation of Zn-proteins fromStaphylococcus aureuswith nanogram yield. Electrophoresis 2012; 34:224-34. [DOI: 10.1002/elps.201200234] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2012] [Revised: 08/14/2012] [Accepted: 09/01/2012] [Indexed: 01/13/2023]
Affiliation(s)
| | - Eva Jilkova
- Department of Chemistry and Biochemistry; Faculty of Agronomy; Mendel University in Brno; Brno; Czech Republic
| | - Ludmila Krejcova
- Department of Chemistry and Biochemistry; Faculty of Agronomy; Mendel University in Brno; Brno; Czech Republic
| | - Natalia Cernei
- Department of Chemistry and Biochemistry; Faculty of Agronomy; Mendel University in Brno; Brno; Czech Republic
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Zuo H, Xie Z, Ding X, Zhang W, Yang J, Fan X, Poms R, Pei X. A novel magnetic capture-multiplex PCR assay for the simultaneous detection of three foodborne pathogens. QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS 2011. [DOI: 10.1111/j.1757-837x.2011.00113.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Haojiang Zuo
- Department of Medical Technology; West China School of Public Health; Sichuan University; Chengdu; Sichuan; China
| | - Zhimei Xie
- Department of Medical Technology; West China School of Public Health; Sichuan University; Chengdu; Sichuan; China
| | - Xiaobei Ding
- Department of Medical Technology; West China School of Public Health; Sichuan University; Chengdu; Sichuan; China
| | - Weiwei Zhang
- Department of Medical Technology; West China School of Public Health; Sichuan University; Chengdu; Sichuan; China
| | - Jingyan Yang
- Department of Medical Technology; West China School of Public Health; Sichuan University; Chengdu; Sichuan; China
| | - Xuejun Fan
- Sichuan Entry-Exit Inspection and Quarantine Bureau; Chengdu; Sichuan; China
| | | | - Xiaofang Pei
- Department of Medical Technology; West China School of Public Health; Sichuan University; Chengdu; Sichuan; China
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