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Soni DK, Ahmad R, Dubey SK. Biosensor for the detection of Listeria monocytogenes: emerging trends. Crit Rev Microbiol 2018; 44:590-608. [PMID: 29790396 DOI: 10.1080/1040841x.2018.1473331] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
The early detection of Listeria monocytogenes (L. monocytogenes) and understanding the disease burden is of paramount interest. The failure to detect pathogenic bacteria in the food industry may have terrible consequences, and poses deleterious effects on human health. Therefore, integration of methods to detect and trace the route of pathogens along the entire food supply network might facilitate elucidation of the main contamination sources. Recent research interest has been oriented towards the development of rapid and affordable pathogen detection tools/techniques. An innovative and new approach like biosensors has been quite promising in revealing the foodborne pathogens. In spite of the existing knowledge, advanced research is still needed to substantiate the expeditious nature and sensitivity of biosensors for rapid and in situ analysis of foodborne pathogens. This review summarizes recent developments in optical, piezoelectric, cell-based, and electrochemical biosensors for Listeria sp. detection in clinical diagnostics, food analysis, and environmental monitoring, and also lists their drawbacks and advantages.
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Affiliation(s)
- Dharmendra Kumar Soni
- a Department of Botany, Institute of Science , Banaras Hindu University , Varanasi , India
| | - Rafiq Ahmad
- b Sensors Lab, Electrical Engineering Program, Computer, Electrical and Mathematical Science and Engineering Division , King Abdullah University of Science and Technology (KAUST) , Thuwal , Kingdom of Saudi Arabia
| | - Suresh Kumar Dubey
- a Department of Botany, Institute of Science , Banaras Hindu University , Varanasi , India
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Habimana JDD, Ji J, Sun X. Minireview: Trends in Optical-Based Biosensors for Point-Of-Care Bacterial Pathogen Detection for Food Safety and Clinical Diagnostics. ANAL LETT 2018. [DOI: 10.1080/00032719.2018.1458104] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Jean de Dieu Habimana
- State Key Laboratory of Food Science and Technology, School of Food Science, National Engineering Research Center for Functional Foods, Synergetic Innovation Center of Food Safety, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, China
- Department of Food Science and Technology, School of Food Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Jian Ji
- State Key Laboratory of Food Science and Technology, School of Food Science, National Engineering Research Center for Functional Foods, Synergetic Innovation Center of Food Safety, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, China
| | - Xiulan Sun
- State Key Laboratory of Food Science and Technology, School of Food Science, National Engineering Research Center for Functional Foods, Synergetic Innovation Center of Food Safety, International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu, China
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Abstract
Rapid detection of foodborne pathogens at an early stage is imperative for preventing the outbreak of foodborne diseases, known as serious threats to human health. Conventional bacterial culturing methods for foodborne pathogen detection are time consuming, laborious, and with poor pathogen diagnosis competences. This has prompted researchers to call the current status of detection approaches into question and leverage new technologies for superior pathogen sensing outcomes. Novel strategies mainly rely on incorporating all the steps from sample preparation to detection in miniaturized devices for online monitoring of pathogens with high accuracy and sensitivity in a time-saving and cost effective manner. Lab on chip is a blooming area in diagnosis, which exploits different mechanical and biological techniques to detect very low concentrations of pathogens in food samples. This is achieved through streamlining the sample handling and concentrating procedures, which will subsequently reduce human errors and enhance the accuracy of the sensing methods. Integration of sample preparation techniques into these devices can effectively minimize the impact of complex food matrix on pathogen diagnosis and improve the limit of detections. Integration of pathogen capturing bio-receptors on microfluidic devices is a crucial step, which can facilitate recognition abilities in harsh chemical and physical conditions, offering a great commercial benefit to the food-manufacturing sector. This article reviews recent advances in current state-of-the-art of sample preparation and concentration from food matrices with focus on bacterial capturing methods and sensing technologies, along with their advantages and limitations when integrated into microfluidic devices for online rapid detection of pathogens in foods and food production line.
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54
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A Novel Pathogen Capturing Device for Removal and Detection. Sci Rep 2017; 7:5552. [PMID: 28717239 PMCID: PMC5514083 DOI: 10.1038/s41598-017-05854-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 06/23/2017] [Indexed: 01/03/2023] Open
Abstract
A simple technique that employs an antibody coated polydimethylsiloxane tube is used for effective capturing of bloodborne and foodborne pathogens. By recirculating the entire sample through the antibody coated tube, accumulation of target pathogens is achieved, thereby delivering a higher concentration of pathogens in a small volume. The described method can provide an effective and economical solution to microbiology techniques that rely on enrichment, thereby expediting diagnostics. Using this method 80.3 ± 5.6% of Staphylococcus aureus with a starting concentration of ~107 CFU/mL and 95.4 ± 1.0% of Methicillin-resistant Staphylococcus aureus with starting concentration of ~104 CFU/mL were removed from 5 mL blood in a few hours. This concept was extended to live rats with an induced bloodstream S. aureus infection. A reduction of two orders of magnitude in the bacterial load of the rats was observed within a few hours. The same technique was used to capture a food pathogen, Salmonella typhimurium, with starting concentrations as low as ~100 CFU, from 100 or 250 mL of culture broth within similar timeframes as above. The feasibility for food pathogen testing applications was additionally confirmed by capturing and detecting S. typhimurium in ground chicken and ground beef.
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55
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Choi Y, Lee H, Lee S, Kim S, Lee J, Ha J, Oh H, Yoon Y. Comparison of Upgraded Methods for Detecting Pathogenic Escherichia coli in Foods Using Centrifugation or Filtration. Korean J Food Sci Anim Resour 2017; 37:799-803. [PMID: 29725200 PMCID: PMC5932947 DOI: 10.5851/kosfa.2017.37.6.799] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 09/26/2017] [Accepted: 10/11/2017] [Indexed: 01/10/2023] Open
Abstract
In the present study, centrifugation and filtration pretreatments were evaluated to decrease sample preparation time and to improve the sensitivity and specificity of multiplex polymerase chain reaction (PCR) for the detection of low levels of pathogenic Escherichia coli in various foods. Pathogenic E. coli (E. coli NCCP11142, E. coli NCCP14037, E. coli NCCP 14038, E. coli NCCP14039, and E. coli NCCP15661) was inoculated into pork, beef, and baby leafy vegetables at 1, 2, and 3 Log CFU/g. The samples were shaken 30 times (control), then centrifuged or filtered. DNA extracts from the samples were subjected to PCR using the PowerchekTM Diarrheal E. coli 8-plex Detection Kit. In the pork samples, no E. coli was detected in the control samples, while E. coli were detected in 100% of 3-Log CFU/g inoculated and centrifuged samples, and in 100% of 2 and 3-Log CFU/g inoculated, and filtered samples. In the beef samples, all control samples appeared to be E. coli-negative, while E. coli was detected in 50-75% of centrifuged samples, regardless of inoculated level, and in 100% of 2 and 3-Log CFU/g inoculated, and filtered samples. In baby leafy vegetables, E. coli were not detected in 25-50% of the control samples, while E. coli were detected in 0-25% of the centrifuged samples, and 75-100% of the filtered samples, depending on the inoculum amount. In conclusion, filtration pretreatment can be used to minimize sample preparation time, and improve the sensitivity and specificity of rapid detection of pathogenic E. coli in various foods.
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Affiliation(s)
- Yukyung Choi
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Heeyoung Lee
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Soomin Lee
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Sejeong Kim
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Jeeyeon Lee
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Jimyeong Ha
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Hyemin Oh
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
| | - Yohan Yoon
- Department of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.,Risk Analysis Research Center, Sookmyung Women's University, Seoul 04310, Korea
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56
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Liana AE, Marquis CP, Gunawan C, Gooding JJ, Amal R. T4 bacteriophage conjugated magnetic particles for E. coli capturing: Influence of bacteriophage loading, temperature and tryptone. Colloids Surf B Biointerfaces 2016; 151:47-57. [PMID: 27974276 DOI: 10.1016/j.colsurfb.2016.12.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 12/01/2016] [Accepted: 12/07/2016] [Indexed: 01/16/2023]
Abstract
This work demonstrates the use of bacteriophage conjugated magnetic particles (Fe3O4) for the rapid capturing and isolation of Escherichia coli. The investigation of T4 bacteriophage adsorption to silane functionalised Fe3O4 with amine (NH2), carboxylic (COOH) and methyl (CH3) surface functional groups reveals the domination of net electrostatic and hydrophobic interactions in governing bacteriophage adsorption. The bare Fe3O4 and Fe3O4-NH2 with high T4 loading captured 3-fold more E. coli (∼70% capturing efficiency) compared to the low loading T4 on Fe3O4-COOH, suggesting the significance of T4 loading in E. coli capturing efficiency. Importantly, it is further revealed that E. coli capture is highly dependent on the incubation temperature and the presence of tryptone in the media. Effective E. coli capturing only occurs at 37°C in tryptone-containing media with the absence of either conditions resulted in poor bacteria capture. The incubation temperature dictates the capturing ability of Fe3O4/T4, whereby T4 and E. coli need to establish an irreversible binding that occurred at 37°C. The presence of tryptophan-rich tryptone in the suspending media was also critical, as shown by a 3-fold increase in E. coli capture efficiency of Fe3O4/T4 in tryptone-containing media compared to that in tryptone-free media. This highlights for the first time that successful bacteria capturing requires not only an optimum tailoring of the particle's surface physicochemical properties for favourable bacteriophage loading, but also an in-depth understanding of how factors, such as temperature and solution chemistry influence the subsequent bacteriophage-bacteria interactions.
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Affiliation(s)
- Ayu Ekajayanthi Liana
- School of Chemical Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Christopher P Marquis
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia.
| | - Cindy Gunawan
- School of Chemical Engineering, The University of New South Wales, Sydney, NSW 2052, Australia; ithree Institute, University of Technology Sydney, Sydney, NSW 2007, Australia.
| | - J Justin Gooding
- School of Chemistry and Australian Centre for NanoMedicine, The University of New South Wales, Sydney, NSW 2052, Australia
| | - Rose Amal
- School of Chemical Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
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57
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Nychas GJE, Panagou EZ, Mohareb F. Novel approaches for food safety management and communication. Curr Opin Food Sci 2016. [DOI: 10.1016/j.cofs.2016.06.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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58
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Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry. Sci Rep 2016; 6:38099. [PMID: 27901131 PMCID: PMC5128872 DOI: 10.1038/srep38099] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 11/04/2016] [Indexed: 01/06/2023] Open
Abstract
Rapid detection of target bacteria is crucial to provide a safe food supply and to prevent foodborne diseases. Herein, we present an optical biosensor for identification and quantification of Escherichia coli (E. coli, used as a model indicator bacteria species) in complex food industry process water. The biosensor is based on a nanostructured, oxidized porous silicon (PSi) thin film which is functionalized with specific antibodies against E. coli. The biosensors were exposed to water samples collected directly from process lines of fresh-cut produce and their reflectivity spectra were collected in real time. Process water were characterized by complex natural micro-flora (microbial load of >107 cell/mL), in addition to soil particles and plant cell debris. We show that process water spiked with culture-grown E. coli, induces robust and predictable changes in the thin-film optical interference spectrum of the biosensor. The latter is ascribed to highly specific capture of the target cells onto the biosensor surface, as confirmed by real-time polymerase chain reaction (PCR). The biosensors were capable of selectively identifying and quantifying the target cells, while the target cell concentration is orders of magnitude lower than that of other bacterial species, without any pre-enrichment or prior processing steps.
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59
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Fructose 1,6-Bisphosphate Aldolase, a Novel Immunogenic Surface Protein on Listeria Species. PLoS One 2016; 11:e0160544. [PMID: 27489951 PMCID: PMC4973958 DOI: 10.1371/journal.pone.0160544] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 07/21/2016] [Indexed: 12/12/2022] Open
Abstract
Listeria monocytogenes is a ubiquitous food-borne pathogen, and its presence in food or production facilities highlights the importance of surveillance. Increased understanding of the surface exposed antigens on Listeria would provide potential diagnostic and therapeutic targets. In the present work, using mass spectrometry and genetic cloning, we show that fructose-1,6-bisphosphate aldolase (FBA) class II in Listeria species is the antigen target of the previously described mAb-3F8. Western and dot blot assays confirmed that the mAb-3F8 could distinguish all tested Listeria species from close-related bacteria. Localization studies indicated that FBA is present in every fraction of Listeria cells, including supernatant and the cell wall, setting Listeria spp. as one of the few bacteria described to have this protein on their cell surface. Epitope mapping using ORFeome display and a peptide membrane revealed a 14-amino acid peptide as the potential mAb-3F8 epitope. The target epitope in FBA allowed distinguishing Listeria spp. from closely-related bacteria, and was identified as part of the active site in the dimeric enzyme. However, its function in cell surface seems not to be host cell adhesion-related. Western and dot blot assays further demonstrated that mAb-3F8 together with anti-InlA mAb-2D12 could differentiate pathogenic from non-pathogenic Listeria isolated from artificially contaminated cheese. In summary, we report FBA as a novel immunogenic surface target useful for the detection of Listeria genus.
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60
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Charlermroj R, Makornwattana M, Grant IR, Elliott CT, Karoonuthaisiri N. Validation of a high-throughput immunobead array technique for multiplex detection of three foodborne pathogens in chicken products. Int J Food Microbiol 2016; 224:47-54. [DOI: 10.1016/j.ijfoodmicro.2016.02.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 01/29/2016] [Accepted: 02/25/2016] [Indexed: 12/14/2022]
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61
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Rahman UU, Shahzad T, Sahar A, Ishaq A, Khan MI, Zahoor T, Aslam S. Recapitulating the competence of novel & rapid monitoring tools for microbial documentation in food systems. Lebensm Wiss Technol 2016. [DOI: 10.1016/j.lwt.2015.11.041] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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62
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Abdelhaseib MU, Singh AK, Bailey M, Singh M, El-Khateib T, Bhunia AK. Fiber optic and light scattering sensors: Complimentary approaches to rapid detection of Salmonella enterica in food samples. Food Control 2016. [DOI: 10.1016/j.foodcont.2015.09.031] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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63
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Singh AK, Bhunia AK. Optical scatter patterns facilitate rapid differentiation of Enterobacteriaceae on CHROMagar™ Orientation medium. Microb Biotechnol 2016; 9:127-35. [PMID: 26503189 PMCID: PMC4720409 DOI: 10.1111/1751-7915.12323] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 08/27/2015] [Accepted: 08/28/2015] [Indexed: 12/01/2022] Open
Abstract
Enterobacteriaceae family comprised pathogens and commensals and has a significant impact on food safety and public health. Enterobacteriaceae is often enumerated and presumptively identified on chromogenic media, such as CHROMagar(TM) Orientation medium based on colony profile; however, classification is highly arbitrary, and some could not be differentiated due to similar chromogen production. Here, we investigated the ability of the laser optical sensor, BARDOT (bacterial rapid detection using optical scattering technology) for rapid screening and differentiation of colonies of the major bacterial genera from Enterobacteriaceae on CHROMagar(TM) Orientation. A total of 36 strains representing 12 genera and 15 species were used to generate colony scatter image library that comprised 1683 scatter images. This library was used to differentiate mixed cultures of Enterobacteriaceae family - Klebsiella pneumoniae, Enterobacter spp., Citrobacter freundii and Serratia marcescens (KECS group); Proteus mirabilis, Morganella morganii and Providencia rettgeri (PMP group); and non-Enterobacteriaceae family: Pseudomonas aeruginosa, Acinetobacter spp. and Staphylococcus aureus (PAS group) - and data show high accuracy (83-100%) for intra-group classification of colonies in 10-22 h or even before visible production of chromogens. BARDOT successfully differentiated the major genera, including the ones that do not produce visually distinguishable chromogens on CHROMagar(TM) Orientation, providing a label-free, real-time on-plate colony screening tool for Enterobacteriaceae.
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Affiliation(s)
- Atul K Singh
- Department of Food Science, Molecular Food Microbiology Laboratory, Purdue University, West Lafayette, IN, 47907, USA
| | - Arun K Bhunia
- Department of Food Science, Molecular Food Microbiology Laboratory, Purdue University, West Lafayette, IN, 47907, USA
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, 47907, USA
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64
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Sun Y, Gu X, Wang Z, Huang Y, Wei Y, Zhang M, Tu K, Pan L. Growth Simulation and Discrimination of Botrytis cinerea, Rhizopus stolonifer and Colletotrichum acutatum Using Hyperspectral Reflectance Imaging. PLoS One 2015; 10:e0143400. [PMID: 26642054 PMCID: PMC4671615 DOI: 10.1371/journal.pone.0143400] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 11/04/2015] [Indexed: 11/18/2022] Open
Abstract
This research aimed to develop a rapid and nondestructive method to model the growth and discrimination of spoilage fungi, like Botrytis cinerea, Rhizopus stolonifer and Colletotrichum acutatum, based on hyperspectral imaging system (HIS). A hyperspectral imaging system was used to measure the spectral response of fungi inoculated on potato dextrose agar plates and stored at 28°C and 85% RH. The fungi were analyzed every 12 h over two days during growth, and optimal simulation models were built based on HIS parameters. The results showed that the coefficients of determination (R2) of simulation models for testing datasets were 0.7223 to 0.9914, and the sum square error (SSE) and root mean square error (RMSE) were in a range of 2.03–53.40×10−4 and 0.011–0.756, respectively. The correlation coefficients between the HIS parameters and colony forming units of fungi were high from 0.887 to 0.957. In addition, fungi species was discriminated by partial least squares discrimination analysis (PLSDA), with the classification accuracy of 97.5% for the test dataset at 36 h. The application of this method in real food has been addressed through the analysis of Botrytis cinerea, Rhizopus stolonifer and Colletotrichum acutatum inoculated in peaches, demonstrating that the HIS technique was effective for simulation of fungal infection in real food. This paper supplied a new technique and useful information for further study into modeling the growth of fungi and detecting fruit spoilage caused by fungi based on HIS.
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Affiliation(s)
- Ye Sun
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Xinzhe Gu
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Zhenjie Wang
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Yangmin Huang
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Yingying Wei
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Miaomiao Zhang
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Kang Tu
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
| | - Leiqing Pan
- College of Food Science and Technology, Nanjing Agricultural University, No.1, Weigang Road, Nanjing, Jiangsu, 210095, China
- * E-mail:
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65
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Malic L, Zhang X, Brassard D, Clime L, Daoud J, Luebbert C, Barrere V, Boutin A, Bidawid S, Farber J, Corneau N, Veres T. Polymer-based microfluidic chip for rapid and efficient immunomagnetic capture and release of Listeria monocytogenes. LAB ON A CHIP 2015; 15:3994-4007. [PMID: 26346021 DOI: 10.1039/c5lc00852b] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Infections caused by foodborne pathogens such as Listeria monocytogenes pose a threat to public health while timely detection is challenging due to pathogen low numbers. The development of robust and efficient sample preparation techniques is crucial to improve detection sensitivity and workflow. Immunomagnetic separation using magnetic nanoparticles (MNPs) is attractive, as it can efficiently capture target cells. For food safety applications, a platform is needed to rapidly process large sample volumes, allowing capture and release of target bacteria conjugated to immunomagnetic nanoparticles (IMNPs). Herein, we demonstrate a method for magnetic capture and release of bacteria-IMNPs complex based on a 3D magnetic trap integrated on a polymeric microfluidic device. The 3D magnetic capture region consist of a dense array of high-aspect ratio (3 : 1) cylindrical pillars embossed in thermoplastic polymer and coated with soft ferromagnetic nickel by an electroless deposition technique. This allows the generation of strong and switchable magnetic capture regions due to the very low remanence of the nickel shell. We propose and validate an optimized configuration of capture regions for efficient localized capture and rapid release of MNPs and IMNPs conjugated to L. monocytogenes. A maximum recovery rate for MNPs corresponded to 91% while a maximum capture efficiency of 30% was obtained for live bacteria, with a minimum detectable sample concentration of ~10 cfu ml(-1) in 1 ml volume using plate-culture method. We believe that the flexible design and low-cost fabrication process of the proposed system will allow rapid sample preparation for applications beyond food and water safety, including point-of-care diagnosis.
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Affiliation(s)
- L Malic
- Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC J4B 6Y4, Canada.
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66
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Wang Y, Salazar JK. Culture-Independent Rapid Detection Methods for Bacterial Pathogens and Toxins in Food Matrices. Compr Rev Food Sci Food Saf 2015; 15:183-205. [DOI: 10.1111/1541-4337.12175] [Citation(s) in RCA: 161] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 09/14/2015] [Indexed: 11/29/2022]
Affiliation(s)
- Yun Wang
- Div. of Food Processing Science and Technology; U.S. Food and Drug Administration; Bedford Park IL U.S.A
| | - Joelle K. Salazar
- Div. of Food Processing Science and Technology; U.S. Food and Drug Administration; Bedford Park IL U.S.A
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67
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Hahm BK, Kim H, Singh AK, Bhunia AK. Pathogen enrichment device (PED) enables one-step growth, enrichment and separation of pathogen from food matrices for detection using bioanalytical platforms. J Microbiol Methods 2015. [DOI: 10.1016/j.mimet.2015.07.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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68
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Deoxynivalenol-mimic nanobody isolated from a naïve phage display nanobody library and its application in immunoassay. Anal Chim Acta 2015; 887:201-208. [DOI: 10.1016/j.aca.2015.06.033] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 06/19/2015] [Accepted: 06/25/2015] [Indexed: 01/20/2023]
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69
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Singh AK, Sun X, Bai X, Kim H, Abdalhaseib MU, Bae E, Bhunia AK. Label-free, non-invasive light scattering sensor for rapid screening of Bacillus colonies. J Microbiol Methods 2015; 109:56-66. [DOI: 10.1016/j.mimet.2014.12.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Revised: 12/17/2014] [Accepted: 12/18/2014] [Indexed: 11/26/2022]
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