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Armstrong CM, Capobianco JA, Lee J. Magnetic capture device for large volume sample analysis. PLoS One 2024; 19:e0297806. [PMID: 38335195 PMCID: PMC10857679 DOI: 10.1371/journal.pone.0297806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 01/11/2024] [Indexed: 02/12/2024] Open
Abstract
Immunomagnetic separation (IMS) techniques employing superparamagnetic particles can successfully isolate various components from mixtures. However, their utility can be limited for large-volume samples, viscous samples, or those containing a high density of particulate matter because of the need to generate high field gradients for particle recovery. Therefore, a new class of immunomagnetic particles was devised utilizing a single, macroscopic Pyrex spinbar conjugated with biorecognition elements to address these limitations. Advantages include an inherent capacity for effective mixing, an almost instantaneous recovery of the spinbar that can be performed without expensive equipment and with no loss of magnetic particles during processing, and reduced transfer of sample matrix. As a result, spinbars can provide an effective means for IMS with large-volume assays composed of complex matrices.
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Affiliation(s)
- Cheryl M. Armstrong
- United States Department of Agriculture, Agriculture Research Service, Eastern Regional Research Center, Wyndmoor, Pennsylvania, United States of America
| | - Joseph A. Capobianco
- United States Department of Agriculture, Agriculture Research Service, Eastern Regional Research Center, Wyndmoor, Pennsylvania, United States of America
| | - Joe Lee
- United States Department of Agriculture, Agriculture Research Service, Eastern Regional Research Center, Wyndmoor, Pennsylvania, United States of America
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Armstrong CM, He Y, Chen CY, Counihan K, Lee J, Reed S, Capobianco J. Use of a commercial tissue dissociation system to detect Salmonella-contaminated poultry products. Anal Bioanal Chem 2024; 416:621-626. [PMID: 37055639 DOI: 10.1007/s00216-023-04668-w] [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: 01/18/2023] [Revised: 02/14/2023] [Accepted: 03/18/2023] [Indexed: 04/15/2023]
Abstract
Successful detection of bacterial pathogens in food can be challenging due to the physical and compositional complexity of the matrix. Different mechanical/physical and chemical methods have been developed to separate microorganisms from food matrices to facilitate detection. The present study benchmarked a commercial tissue digestion system that applies both chemical and physical methods to separate microorganisms from tissues against stomaching, a standard process currently utilized by commercial and regulatory food safety laboratories. The impacts of the treatments on the physical properties of the food matrix were characterized along with the compatibility of the methods with downstream microbiological and molecular detection assays. The results indicate the tissue digestion system can significantly reduce the average particle size of the chicken sample relative to processing via a stomacher (P < 0.001) without adversely affecting either real-time PCR (qPCR) or plate counting assays, which are typically used to detect Salmonella. Furthermore, inoculated chicken treated with the GentleMACS resulted in a significant increase (P < 0.003) in the qPCR's detection capabilities relative to stomached controls. Cohen kappa (κ) coefficient and McNemar's test indicate the plating assays and PCR results agree with measurements obtained via the 3 M Molecular Detection System as defined in the MLG standard (κ > 0.62; P > 0.08). Collectively, the results demonstrate that the technique enables detection of pathogens in meat at lower levels of contamination using current industry standard technologies.
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Affiliation(s)
- Cheryl M Armstrong
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA
| | - Yiping He
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA
| | - Chin-Yi Chen
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA
| | - Katrina Counihan
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA
| | - Joe Lee
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA
| | - Sue Reed
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA
| | - Joseph Capobianco
- Molecular Characterization of Foodborne Pathogens Research Unit, USDA-ARS Eastern Regional Research Center, 600 East Mermaid Ln, Wyndmoor, PA, 19038, USA.
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A Review on the Commonly Used Methods for Analysis of Physical Properties of Food Materials. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12042004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The chemical composition of any food material can be analyzed well by employing various analytical techniques. The physical properties of food are no less important than chemical composition as results obtained from authentic measurement data are able to provide detailed information about the food. Several techniques have been used for years for this purpose but most of them are destructive in nature. The aim of this present study is to identify the emerging techniques that have been used by different researchers for the analysis of the physical characteristics of food. It is highly recommended to practice novel methods as these are non-destructive, extremely sophisticated, and provide results closer to true quantitative values. The physical properties are classified into different groups based on their characteristics. The concise view of conventional techniques mostly used to analyze food material are documented in this work.
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Petrucci S, Costa C, Broyles D, Dikici E, Daunert S, Deo S. On-site detection of food and waterborne bacteria - current technologies, challenges, and future directions. Trends Food Sci Technol 2021; 115:409-421. [PMID: 34267423 DOI: 10.1016/j.tifs.2021.06.054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
With the rise in outbreaks of pathogenic bacteria in both food and water resulting in an increased instance of infection, there is a growing public health problem in both developed and developing countries. In this increasing threat the most effective method for control and prevention is rapid and cost-effective detection. Research has shifted in recent years towards the development of rapid and on-site assays for the detection of these kinds of bacteria. However, there are still some limitations in the implementation of these assays in the field. This article discusses the current on-site detection methods. Current scope of advancements and limitations in the development or use of these on-site technologies for food and waterborne bacterial detection is evaluated in this study. With the continued development of these technologies, on-site detection will continue to impact many areas of public health. As these methods continue to improve and diversify further, on-site detection could become more widely implemented in food and water analysis.
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Affiliation(s)
- Sabrina Petrucci
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States
| | - Connor Costa
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States
| | - David Broyles
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States
| | - Emre Dikici
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States
| | - Sylvia Daunert
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Clinical and Translational Science Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States
| | - Sapna Deo
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL 33136 United States.,Dr. John T. MacDonald Foundation Biomedical Nanotechnology Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 United States
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Bacterial cell recovery after hollow fiber microfiltration sample concentration: Most probable bacterial composition in frozen vegetables. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2020.110647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Detection of pathogenic bacteria in large volume food samples using an enzyme-linked immunoelectrochemical biosensor. Food Control 2021. [DOI: 10.1016/j.foodcont.2020.107456] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Bhunia AK, Bisha B, Gehring AG, Brehm-Stecher BF. Advances in Foodborne Pathogen Analysis. Foods 2020; 9:foods9111635. [PMID: 33182540 PMCID: PMC7696508 DOI: 10.3390/foods9111635] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 11/02/2020] [Indexed: 12/20/2022] Open
Abstract
As the world population has grown, new demands on the production of foods have been met by increased efficiencies in production, from planting and harvesting to processing, packaging and distribution to retail locations. These efficiencies enable rapid intranational and global dissemination of foods, providing longer “face time” for products on retail shelves and allowing consumers to make healthy dietary choices year-round. However, our food production capabilities have outpaced the capacity of traditional detection methods to ensure our foods are safe. Traditional methods for culture-based detection and characterization of microorganisms are time-, labor- and, in some instances, space- and infrastructure-intensive, and are therefore not compatible with current (or future) production and processing realities. New and versatile detection methods requiring fewer overall resources (time, labor, space, equipment, cost, etc.) are needed to transform the throughput and safety dimensions of the food industry. Access to new, user-friendly, and point-of-care testing technologies may help expand the use and ease of testing, allowing stakeholders to leverage the data obtained to reduce their operating risk and health risks to the public. The papers in this Special Issue on “Advances in Foodborne Pathogen Analysis” address critical issues in rapid pathogen analysis, including preanalytical sample preparation, portable and field-capable test methods, the prevalence of antibiotic resistance in zoonotic pathogens and non-bacterial pathogens, such as viruses and protozoa.
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Affiliation(s)
- Arun K. Bhunia
- Department of Food Science, Purdue University, West Lafayette, IN 47907, USA
- Department of Comparative Pathobiology (Courtesy), Purdue University, West Lafayette, IN 47907, USA
- Correspondence: (A.K.B.); (B.B.); (A.G.G.); (B.F.B.-S.); Tel.: +1-765-494-5443 (A.K.B.); +1-307-766-3140 (B.B.); +1-215-233-6491 (A.G.G.); +1-515-294-6469 (B.F.B.-S.)
| | - Bledar Bisha
- Department of Animal Science, University of Wyoming, Laramie, WY 82071, USA
- Correspondence: (A.K.B.); (B.B.); (A.G.G.); (B.F.B.-S.); Tel.: +1-765-494-5443 (A.K.B.); +1-307-766-3140 (B.B.); +1-215-233-6491 (A.G.G.); +1-515-294-6469 (B.F.B.-S.)
| | - Andrew G. Gehring
- Molecular Characterization of Foodborne Pathogens, Agricultural Research Service, United States Department of Agriculture, Wyndmoor, PA 19038, USA
- Correspondence: (A.K.B.); (B.B.); (A.G.G.); (B.F.B.-S.); Tel.: +1-765-494-5443 (A.K.B.); +1-307-766-3140 (B.B.); +1-215-233-6491 (A.G.G.); +1-515-294-6469 (B.F.B.-S.)
| | - Byron F. Brehm-Stecher
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA 50011, USA
- Correspondence: (A.K.B.); (B.B.); (A.G.G.); (B.F.B.-S.); Tel.: +1-765-494-5443 (A.K.B.); +1-307-766-3140 (B.B.); +1-215-233-6491 (A.G.G.); +1-515-294-6469 (B.F.B.-S.)
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