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Coulombe G, Tamber S. Salmonella enterica Outbreaks Linked to the Consumption of Tahini and Tahini-Based Products. Microorganisms 2022; 10:microorganisms10112299. [PMID: 36422369 PMCID: PMC9694856 DOI: 10.3390/microorganisms10112299] [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: 10/14/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 11/22/2022] Open
Abstract
Salmonella is a leading cause of bacterial foodborne illness in the world. Although typically associated with foods of animal origin, low-moisture foods, such as tahini, are quickly gaining recognition as an important vehicle of Salmonella exposure. This review offers the Canadian perspective on the issue of Salmonella in tahini and tahini-based products. A summary of several recent food product recalls and foodborne outbreaks related to the presence of Salmonella in tahini and tahini-based products such as halva are presented. The properties of the food vehicles, their production practices, and potential routes of contamination are discussed. Particular focus is placed on the ecology of Salmonella in the tahini production continuum, including its survival characteristics and response to intervention technologies.
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Affiliation(s)
- Geneviève Coulombe
- Microbiology Evaluation Division, Bureau of Microbial Hazards, Food Directorate, Health Canada, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9, Canada
| | - Sandeep Tamber
- Microbiology Research Division, Bureau of Microbial Hazards, Food Directorate, Health Canada, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9, Canada
- Correspondence:
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2
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Li J, Zhou D, Xie G, Deng M, Feng X, Xu H. PMAxx Combined with Recombinase Aided Amplification Technique for Specific and Rapid Detection of Salmonella in Milk. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02249-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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3
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Carlin CR, Lau SS, Cheng RA, Buehler AJ, Kassaify Z, Wiedmann M. Validation Using Diverse, Difficult-to-Detect Salmonella Strains and a Dark Chocolate Matrix Highlights the Critical Role of Strain Selection for Evaluation of Simplified, Rapid PCR-Based Methods Offering Next-Day Time to Results. J Food Prot 2020; 83:1374-1386. [PMID: 32241024 DOI: 10.4315/jfp-20-066] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/02/2020] [Indexed: 11/11/2022]
Abstract
ABSTRACT Modifications to pathogen detection kits to accomplish simplified protocols with reduced time to results may impact method performance, particularly when combining shortened enrichment times and simplified enrichment procedures. We used Salmonella detection in dark chocolate as a model to test the impact of different enrichment times (minimum and maximum validated times) and procedures on detection of low levels of difficult-to-detect Salmonella strains, for three PCR kits that were AOAC International Performance Tested Method certified for detection of Salmonella spp. in dark chocolate. Initial inclusivity studies with pure cultures showed that all three kits detected 70 of 70 Salmonella spp. strains at 1 log above the theoretical limit of detection, with some strains yielding later cycle threshold values or having variable detection among technical replicates, indicating reduced assay performance for these strains. Based on these data, we selected a S. enterica subsp. enterica serovar Poona strain as well as three non-subsp. enterica strains to test the ability of the three kits to detect Salmonella in dark chocolate inoculated at low levels (0.06 to 1.18 most probable number per 25 g). With primary enrichment in skim milk at 35°C, detection frequency for all assays did not significantly differ from the reference method for both the minimum and maximum validated enrichment times. However, a pilot study that used primary enrichment in buffered peptone water at 42°C yielded significantly fewer positive samples (13 of 80) than were obtained with the U.S. Food and Drug Administration Bacteriological Analytical Manual method using enrichment in skim milk at 35°C (40 of 80 positive samples); strains representing subsp. houtenae and salamae were detected in significantly fewer chocolate samples than enrichment with skim milk. Our data indicate that continued efforts to simplify rapid pathogen detection kits may reduce kit performance in a way that can only be detected with stringent evaluation protocols that are designed to identify kit failure modes. HIGHLIGHTS
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Affiliation(s)
- Catharine R Carlin
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853
| | - Samantha S Lau
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853
| | - Rachel A Cheng
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853
| | - Ariel J Buehler
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853
| | - Zeina Kassaify
- Mars, Inc., 6885 Elm Street, McLean, Virginia 22101, USA
| | - Martin Wiedmann
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853.,(ORCID: https://orcid.org/0000-0002-4168-5662 [M.W.])
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Ripolles-Avila C, Martínez-Garcia M, Capellas M, Yuste J, Fung DYC, Rodríguez-Jerez JJ. From hazard analysis to risk control using rapid methods in microbiology: A practical approach for the food industry. Compr Rev Food Sci Food Saf 2020; 19:1877-1907. [PMID: 33337076 DOI: 10.1111/1541-4337.12592] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/14/2020] [Accepted: 05/15/2020] [Indexed: 12/14/2022]
Abstract
The prevention of foodborne diseases is one of the main objectives of health authorities. To this effect, analytical techniques to detect and/or quantify the microbiological contamination of foods prior to their release onto the market are required. Management and control of foodborne pathogens have generally been based on conventional detection methodologies, which are not only time-consuming and labor-intensive but also involve high consumable materials costs. However, this management perspective has changed over time given that the food industry requires efficient analytical methods that obtain rapid results. This review covers the historical context of traditional methods and their passage in time through to the latest developments in rapid methods and their implementation in the food sector. Improvements and limitations in the detection of the most relevant pathogens are discussed from a perspective applicable to the current situation in the food industry. Considering efforts that are being done and recent developments, rapid and accurate methods already used in the food industry will be also affordable and portable and offer connectivity in near future, which improves decision-making and safety throughout the food chain.
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Affiliation(s)
- Carolina Ripolles-Avila
- Area of Human Nutrition and Food Science, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria Martínez-Garcia
- Area of Human Nutrition and Food Science, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Capellas
- Area of Food Technology, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep Yuste
- Area of Food Technology, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Daniel Y C Fung
- Call Hall, Department of Animal Sciences and Industry, Kansas State University, Manhattan, Kansas
| | - José-Juan Rodríguez-Jerez
- Area of Human Nutrition and Food Science, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Barcelona, Spain
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Sullivan G, Guo X, Tokman JI, Roof S, Trmcic A, Baker RC, Tang S, Markwell P, Wiedmann M, Kovac J. Extended Enrichment Procedures Can Be Used To Define False-Negative Probabilities for Cultural Gold Standard Methods for Salmonella Detection, Facilitating Comparisons between Gold Standard and Alternative Methods. J Food Prot 2020; 83:1030-1037. [PMID: 32438395 DOI: 10.4315/0362-028x.jfp-19-422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 02/11/2020] [Indexed: 11/11/2022]
Abstract
ABSTRACT Evaluation of alternative detection methods for foodborne pathogens typically involves comparisons against a "gold standard" culture method, which may produce false-negative (FN) results, particularly under worst-case scenarios such as low contamination levels, difficult-to-detect strains, and challenging food matrices (e.g., matrices with a water activity of <0.6). We used extended enrichment times (up to 72 h for both primary and secondary enrichments) to evaluate a gold standard method for Salmonella detection (the U.S. Food and Drug Administration Bacteriological Analytical Manual [BAM] method) in two low-water-activity foods (dry pet food and chocolate) inoculated at low contamination levels (most probable number ca. 1/25 g) with five Salmonella strains. Strains were selected to include those with a poor ability to grow in enrichment media. Among the 100 pet food and 100 chocolate samples tested, 53 and 50, respectively, were positive with the standard BAM method, and 57 and 59, respectively, were positive with the extended BAM method. Thus, the FN probabilities for the standard BAM method were 7% for pet food and 15% for chocolate. An alternative enzyme immunoassay method for detection of Salmonella in chocolate produced FN probabilities of 6 and 20% when compared against the standard and extended BAM methods, respectively. Detection of Salmonella Mississippi was significantly reduced with the alternative method (P = 0.023) compared with the extended BAM method. We calculated a composite reference standard to further define FN probabilities based on variable results from multiple assays (the standard BAM, extended BAM, and alternative methods). Based on this standard, the enzyme immunoassay for Salmonella detection in chocolate had a 28% FN probability and the standard and extended BAM methods had 23 and 9% FN probabilities, respectively. These results provide a framework for how inclusion of extended enrichment times can facilitate evaluation of alternative detection methods. HIGHLIGHTS
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Affiliation(s)
- Genevieve Sullivan
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA (ORCID: https://orcid.org/0000-0002-2249-5839 [A.T.])
| | - Xiaodong Guo
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA (ORCID: https://orcid.org/0000-0002-2249-5839 [A.T.])
| | - Jeffrey I Tokman
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA (ORCID: https://orcid.org/0000-0002-2249-5839 [A.T.])
| | - Sherry Roof
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA (ORCID: https://orcid.org/0000-0002-2249-5839 [A.T.])
| | - Aljosa Trmcic
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA (ORCID: https://orcid.org/0000-0002-2249-5839 [A.T.])
| | - Robert C Baker
- Mars Global Food Safety Center, Huairou, Beijing, People's Republic of China
| | - Silin Tang
- Mars Global Food Safety Center, Huairou, Beijing, People's Republic of China
| | - Peter Markwell
- Mars Global Food Safety Center, Huairou, Beijing, People's Republic of China
| | - Martin Wiedmann
- Department of Food Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA (ORCID: https://orcid.org/0000-0002-2249-5839 [A.T.])
| | - Jasna Kovac
- Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, USA (ORCID: https://orcid.org/0000-0002-9465-4552 [J.K.])
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Gurtler JB, Keller SE, Kornacki JL, Annous BA, Jin T, Fan X. Challenges in Recovering Foodborne Pathogens from Low-Water-Activity Foods. J Food Prot 2019; 82:988-996. [PMID: 31121101 DOI: 10.4315/0362-028x.jfp-18-204] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
There are numerous obstacles to the detection of foodborne pathogens in foods that exhibit a low water activity (aw). These obstacles include the presence of antimicrobial compounds, particulates, PCR inhibitors, and fatty matrices. New approaches should be sought to increase the sensitivity of pathogen testing in low-aw foods and to overcome the effects of various inhibitors and antimicrobials. The U.S. Food and Drug Administration and other laboratories are working toward this goal. This review will address these issues while delineating specific inhibitors and antimicrobials that impede testing of low-aw foods. A review of relevant rapid and conventional testing methodologies for Salmonella in low-aw foods will also be discussed.
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Affiliation(s)
- Joshua B Gurtler
- 1 U.S. Department of Agriculture, Eastern Regional Research Center, 600 East Mermaid Lane, Wyndmoor, Pennsylvania 19038 (ORCID: http://orcid.org/0000-0001-5844-7794 [J.B.G.])
| | - Susanne E Keller
- 2 U.S. Food and Drug Administration, 6502 South Archer Road, Bedford Park, Illinois 60501
| | - Jeffrey L Kornacki
- 3 Kornacki Microbiology Solutions, Inc., P.O. Box 7036, Madison, Wisconsin 53707-7036, USA
| | - Bassam A Annous
- 1 U.S. Department of Agriculture, Eastern Regional Research Center, 600 East Mermaid Lane, Wyndmoor, Pennsylvania 19038 (ORCID: http://orcid.org/0000-0001-5844-7794 [J.B.G.])
| | - Tony Jin
- 1 U.S. Department of Agriculture, Eastern Regional Research Center, 600 East Mermaid Lane, Wyndmoor, Pennsylvania 19038 (ORCID: http://orcid.org/0000-0001-5844-7794 [J.B.G.])
| | - Xuetong Fan
- 1 U.S. Department of Agriculture, Eastern Regional Research Center, 600 East Mermaid Lane, Wyndmoor, Pennsylvania 19038 (ORCID: http://orcid.org/0000-0001-5844-7794 [J.B.G.])
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7
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Erickson MC, Liao JY. Variation in recovery of Salmonella strains extracted from leafy greens. Lebensm Wiss Technol 2019. [DOI: 10.1016/j.lwt.2019.02.078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Buehler AJ, Wiedmann M, Kassaify Z, Cheng RA. Evaluation of invA Diversity among Salmonella Species Suggests Why Some Commercially Available Rapid Detection Kits May Fail To Detect Multiple Salmonella Subspecies and Species. J Food Prot 2019; 82:710-717. [PMID: 30917039 DOI: 10.4315/0362-028x.jfp-18-525] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
HIGHLIGHTS Salmonella exhibits tremendous diversity, with 2,659 documented serovars. invA is a common gene target for detecting Salmonella spp. Detection methods should be validated with a sufficiently diverse strain set.
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Affiliation(s)
- Ariel J Buehler
- 1 Department of Food Science, Cornell University, Ithaca, New York 14853 (ORCID: https://orcid.org/0000-0002-5932-7011 [R.A.C.])
| | - Martin Wiedmann
- 1 Department of Food Science, Cornell University, Ithaca, New York 14853 (ORCID: https://orcid.org/0000-0002-5932-7011 [R.A.C.])
| | - Zeina Kassaify
- 2 Mars, Inc., 6885 Elm Street, McLean, Virginia 22101, USA
| | - Rachel A Cheng
- 1 Department of Food Science, Cornell University, Ithaca, New York 14853 (ORCID: https://orcid.org/0000-0002-5932-7011 [R.A.C.])
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9
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Zhang X, Guo L, Ma R, Cong L, Wu Z, Wei Y, Xue S, Zheng W, Tang S. Rapid detection of Salmonella with Recombinase Aided Amplification. J Microbiol Methods 2017; 139:202-204. [PMID: 28619662 DOI: 10.1016/j.mimet.2017.06.011] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 06/09/2017] [Accepted: 06/10/2017] [Indexed: 10/19/2022]
Abstract
Rapid Salmonella detection using Recombinase Aided Amplification was established. The reaction completes in 20 min at 39°C and can be performed with a portable device. Once further improved, this method should be a great choice for monitoring contamination, such as foodborne Salmonella or for similar purposes.
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Affiliation(s)
- Xiaoping Zhang
- Hangzhou Airport Office of the Zhejiang Entry-Exit Inspection and Quarantine Bureau, Hangzhou, Zhejiang Province, China
| | - Lichuan Guo
- Jiangsu Qitian Bio-Tech Co. Ltd, Wuxi, Jiangsu Province, China
| | - Ranran Ma
- Jiangsu Qitian Bio-Tech Co. Ltd, Wuxi, Jiangsu Province, China
| | - Lijuan Cong
- Airport Industrial Zone B6, Shunyi District, Beijing, China
| | - Zhonghua Wu
- International Travel Healthcare Center, Hangzhou, Zhejiang Province, China
| | - Ying Wei
- Hangzhou Airport Office of the Zhejiang Entry-Exit Inspection and Quarantine Bureau, Hangzhou, Zhejiang Province, China
| | - Shijie Xue
- Hangzhou Airport Office of the Zhejiang Entry-Exit Inspection and Quarantine Bureau, Hangzhou, Zhejiang Province, China
| | - Wei Zheng
- International Travel Healthcare Center, Hangzhou, Zhejiang Province, China
| | - Saijun Tang
- College of Biological Sciences, China Agricultural University, Beijing, China.
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