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Ebirim RI, Long W. Evaluation of Antimicrobial and Preservative Effects of Cinnamaldehyde and Clove Oil in Catfish ( Ictalurus punctatus) Fillets Stored at 4 °C. Foods 2024; 13:1445. [PMID: 38790745 PMCID: PMC11119078 DOI: 10.3390/foods13101445] [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: 03/20/2024] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 05/26/2024] Open
Abstract
This study aimed to evaluate cinnamaldehyde (CN) and clove oil (CO) effectiveness in inhibiting growth and killing spoilage and total aerobic bacteria when overlaid with catfish fillet stored at 4 °C. A 1.00 mL concentration of CO inhibited growth by 2.90, 1.96, and 1.96 cm, respectively, for S. baltica, A. hydrophilia, and total bacteria. Similarly, treatment with 1.00 mL of CN resulted in ZIB of 2.17, 2.10, and 1.10 cm, respectively, for S. baltica, A. hydrophilia, and total bacteria from catfish exudates. Total bacteria from catfish exudates treated with 0.50 mL CN for 40 min, resulted in a 6.84 log decrease, and treatment with 1.00 mL resulted in a 5.66 log decrease at 40 min. Total bacteria exudates treated with 0.50 mL CO resulted in a 9.69 log reduction at 40 min. Total bacteria treated with 1.00 mL CO resulted in a 7.69 log decrease at 7 days, while untreated pads overlaid with catfish resulted in ≥9.00 CFU/mL. However, treated absorbent pads with catfish at 7 days, using 0.50 mL and 1.00 mL CN, had a bacterial recovery of 5.53 and 1.88 log CFU/mL, respectively. Furthermore, CO at 0.50 mL and 1.00 mL reduced the bacteria count to 5.21 and 1.53 log CFU/mL, respectively, at day 7.
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Affiliation(s)
| | - Wilbert Long
- Department of Human Ecology, Delaware State University, 1200 North Dupont Highway, Dover, DE 19901, USA
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Bolten S, Lott TT, Ralyea RD, Gianforte A, Trmcic A, Orsi RH, Martin NH, Wiedmann M. Intensive Environmental Sampling and Whole Genome Sequence-based Characterization of Listeria in Small- and Medium-sized Dairy Facilities Reveal Opportunities for Simplified and Size-appropriate Environmental Monitoring Strategies. J Food Prot 2024; 87:100254. [PMID: 38417482 DOI: 10.1016/j.jfp.2024.100254] [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: 12/14/2023] [Revised: 02/17/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024]
Abstract
Small- and medium-sized dairy processing facilities (SMDFs) may face unique challenges with respect to controlling Listeria in their processing environments, e.g., due to limited resources. The aim of this study was to implement and evaluate environmental monitoring programs (EMPs) for Listeria control in eight SMDFs in a ∼1-year longitudinal study; this included a comparison of pre-operation (i.e., after cleaning and sanitation and prior to production) and mid-operation (i.e., at least 4 h into production) sampling strategies. Among 2,072 environmental sponge samples collected across all facilities, 272 (13%) were positive for Listeria. Listeria prevalence among pre- and mid-operation samples (15% and 17%, respectively), was not significantly different. Whole genome sequencing (WGS) performed on select isolates to characterize Listeria persistence patterns revealed repeated isolation of closely related Listeria isolates (i.e., ≤20 high-quality single nucleotide polymorphism [hqSNP] differences) in 5/8 facilities over >6 months, suggesting Listeria persistence and/or reintroduction was relatively common among the SMDFs evaluated here. WGS furthermore showed that for 41 sites where samples collected pre- and mid-operation were positive for Listeria, Listeria isolates obtained were highly related (i.e., ≤10 hqSNP differences), suggesting that pre-operation sampling alone may be sufficient and more effective for detecting sites of Listeria persistence. Importantly, our data also showed that only 1/8 of facilities showed a significant decrease in Listeria prevalence over 1 year, indicating continued challenges with Listeria control in at least some SMDFs. We conclude that options for simplified Listeria EMPs (e.g., with a focus on pre-operation sampling, which allows for more rapid identification of likely persistence sites) may be valuable for improved Listeria control in SMDFs.
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Affiliation(s)
- Samantha Bolten
- Milk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853, USA; Food Safety Laboratory, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Timothy T Lott
- Milk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Robert D Ralyea
- Milk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Anika Gianforte
- Milk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Aljosa Trmcic
- Milk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Renato H Orsi
- Food Safety Laboratory, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Nicole H Martin
- Milk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Martin Wiedmann
- Food Safety Laboratory, Department of Food Science, Cornell University, Ithaca, NY 14853, USA.
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Campos CJA, Gyawali P, Hewitt J. Study of Shellfish Growing Area During Normal Harvesting Periods and Following Wastewater Overflows in an Urban Estuary With Complex Hydrography. FOOD AND ENVIRONMENTAL VIROLOGY 2024; 16:79-96. [PMID: 38329699 DOI: 10.1007/s12560-023-09579-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/27/2023] [Indexed: 02/09/2024]
Abstract
Viral testing combined with hydrographic studies is considered standard good practice in determining microbiological impacts on shellfish growing areas following wastewater overflows. In this study, norovirus genogroup I and II, indicators of viral contamination (F-RNA bacteriophage genogroup II (F-RNA GII), crAssphage, pepper mild mottle virus) and Escherichia coli were monitored during periods of normal harvesting and following overflows in two commercial shellfish growing areas in Otago Harbour (Aotearoa New Zealand). Dye tracing, drogue tracking and analysis of particle tracking modelling were also undertaken to assess the dispersion, dilution and time of travel of wastewater discharged from a pump station discharge that impacts the growing areas. Norovirus was not detected in any of the 218 shellfish samples tested. PMMoV and crAssphage were more prevalent than F-RNA GII as determined by RT-qPCR. The dye study indicated long residence time of the waters (≥5 days) in the embayment impacted by the discharge. No relationships were found between the concentrations of viral indicators or E. coli and wastewater dilution, distance between the discharge and the growing areas or time since the last overflow. For the three spills studied (≤327 m3), there was little evidence of microbiological impact on the growing areas. This was likely associated with a deep shipping channel that enhances water flushing in the harbour and reduces contaminant transport to the growing areas. We recommend flexibility in the approach for closure/reopening growing areas impacted by spills, particularly for small duration/volume spills and when norovirus is not present in the community.
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Affiliation(s)
- Carlos J A Campos
- Cawthron Institute, 98 Halifax Street East, Nelson, 7042, New Zealand.
- Jacobs, 47 Hereford Street Level 2, Wynn Williams Building, Christchurch, 8013, New Zealand.
| | - Pradip Gyawali
- Institute of Environmental Science and Research Limited (ESR), Kenepuru Science Centre, 34 Kenepuru Drive, Kenepuru, Porirua, 5240, New Zealand
| | - Joanne Hewitt
- Institute of Environmental Science and Research Limited (ESR), Kenepuru Science Centre, 34 Kenepuru Drive, Kenepuru, Porirua, 5240, New Zealand
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Shen X, Yin L, Zhang A, Zhao R, Yin D, Wang J, Dai Y, Hou H, Pan X, Hu X, Zhang D, Liu Y. Prevalence and Characterization of Salmonella Isolated from Chickens in Anhui, China. Pathogens 2023; 12:pathogens12030465. [PMID: 36986387 PMCID: PMC10054756 DOI: 10.3390/pathogens12030465] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/09/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023] Open
Abstract
Salmonella is one of the most important zoonotic pathogens that can cause both acute and chronic illnesses in poultry flocks, and can also be transmitted to humans from infected poultry. The purpose of this study was to investigate the prevalence, antimicrobial resistance, and molecular characteristics of Salmonella isolated from diseased and clinically healthy chickens in Anhui, China. In total, 108 Salmonella isolates (5.66%) were successfully recovered from chicken samples (n = 1908), including pathological tissue (57/408, 13.97%) and cloacal swabs (51/1500, 3.40%), and S. Enteritidis (43.52%), S. Typhimurium (23.15%), and S. Pullorum (10.19%) were the three most prevalent isolates. Salmonella isolates showed high rates of resistance to penicillin (61.11%), tetracyclines (47.22% to tetracycline and 45.37% to doxycycline), and sulfonamides (48.89%), and all isolates were susceptible to imipenem and polymyxin B. In total, 43.52% isolates were multidrug-resistant and had complex antimicrobial resistance patterns. The majority of isolates harbored cat1 (77.78%), blaTEM (61.11%), and blaCMY-2 (63.89%) genes, and the antimicrobial resistance genes in the isolates were significantly positively correlated with their corresponding resistance phenotype. Salmonella isolates carry high rates of virulence genes, with some of these reaching 100% (invA, mgtC, and stn). Fifty-seven isolates (52.78%) were biofilm-producing. The 108 isolates were classified into 12 sequence types (STs), whereby ST11 (43.51%) was the most prevalent, followed by ST19 (20.37%) and ST92 (13.89%). In conclusion, Salmonella infection in chicken flocks is still serious in Anhui Province, and not only causes disease in chickens but might also pose a threat to public health security.
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Affiliation(s)
- Xuehuai Shen
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Lei Yin
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Anyun Zhang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610017, China
| | - Ruihong Zhao
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Dongdong Yin
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Jieru Wang
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Yin Dai
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Hongyan Hou
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Xiaocheng Pan
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
- Correspondence: (X.P.); (Y.L.)
| | - Xiaomiao Hu
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Danjun Zhang
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Livestock and Poultry Epidemic Diseases Research Center of Anhui Province, Institute of Animal Husbandry and Veterinary Science, Anhui Academy of Agricultural Science, Hefei 230001, China
| | - Yongjie Liu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
- Correspondence: (X.P.); (Y.L.)
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Guard J, Jones DR, Gast RK, Garcia JS, Rothrock MJ. Serotype Screening of Salmonella enterica Subspecies I by Intergenic Sequence Ribotyping (ISR): Critical Updates. Microorganisms 2022; 11:microorganisms11010097. [PMID: 36677389 PMCID: PMC9863722 DOI: 10.3390/microorganisms11010097] [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: 09/26/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/03/2023] Open
Abstract
(1) Background: Foodborne illness from Salmonella enterica subspecies I is most associated with approximately 32 out of 1600 serotypes. While whole genome sequencing and other nucleic acid-based methods are preferred for serotyping, they require expertise in bioinformatics and often submission to an external agency. Intergenic Sequence Ribotyping (ISR) assigns serotype to Salmonella in coordination with information freely available at the National Center for Biotechnology Information. ISR requires updating because it was developed from 26 genomes while there are now currently 1804 genomes and 1685 plasmids. (2) Methods: Serotypes available for sequencing were analyzed by ISR to confirm primer efficacy and to identify any issues in application. Differences between the 2012 and 2022 ISR database were tabulated, nomenclature edited, and instances of multiple serotypes aligning to a single ISR were examined. (3) Results: The 2022 ISR database has 268 sequences and 40 of these were assigned new NCBI accession numbers that were not previously available. Extending boundaries of sequences resolved hdfR cross-alignment and reduced multiplicity of alignment for 37 ISRs. Comparison of gene cyaA sequences and some cell surface epitopes provided evidence that homologous recombination was potentially impacting results for this subset. There were 99 sequences that still had no match with an NCBI submission. (4) The 2022 ISR database is available for use as a serotype screening method for Salmonella enterica subspecies I. Finding that 36.9% of the sequences in the ISR database still have no match within the NCBI Salmonella enterica database suggests that there is more genomic heterogeneity yet to characterize.
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Affiliation(s)
- Jean Guard
- Correspondence: ; Tel.: +1-706-546-3131 or +1-706-546-3445
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Evaluation of Low-Cost Smartphone-Based Infrared Cameras to Assess the Cooling and Refrigerated Storage Temperatures of Fresh Produce. Foods 2022; 11:foods11213440. [DOI: 10.3390/foods11213440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 11/16/2022] Open
Abstract
Populations of pathogens may increase in fresh produce when subjected to temperature abuse. Smartphone-based infrared (SBIR) cameras are potential alternatives for temperature measurements of fresh produce during postharvest handling and storage. This study compared the performance of SBIR cameras (FLIR and Seek) against conventional temperature acquisition devices for evaluating fresh produce’s simulated hydrocooling and storage conditions. First, thermal images of fresh produce were obtained with SBIR cameras and handheld thermal imagers at ~35 °C, ~20 °C, and ~4 °C to simulate outdoor, packinghouse, and refrigerated environments, respectively. Next, fresh produce was incubated at ~42 °C for 20 h and immersed in chilled water for a hydrocooling simulation. Then, boxes containing cooled fresh produce were stored in a walk-in cooler at different heights for three days. FLIR SBIR cameras were more effective at capturing thermal images of fresh produce than Seek SBIR cameras in all evaluated conditions. More importantly, SBIR cameras accurately acquired temperature profiles of fresh produce during simulated hydrocooling and cold storage. Additionally, the accuracy and quality of thermal images obtained with FLIR cameras were better than those obtained with Seek cameras. The study demonstrated that SBIR cameras are practical, easy-to-use, and cost-effective devices to monitor fresh produce’s temperature during postharvest handling and storage.
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Wilson A, Fegan N, Turner MS. Co-culture with Acinetobacter johnsonii enhances benzalkonium chloride resistance in Salmonella enterica via triggering lipid A modifications. Int J Food Microbiol 2022; 381:109905. [DOI: 10.1016/j.ijfoodmicro.2022.109905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 08/10/2022] [Accepted: 08/24/2022] [Indexed: 10/31/2022]
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Sequino G, Valentino V, Villani F, De Filippis F. Omics-based monitoring of microbial dynamics across the food chain for the improvement of food safety and quality. Food Res Int 2022; 157:111242. [DOI: 10.1016/j.foodres.2022.111242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/06/2022] [Accepted: 04/08/2022] [Indexed: 11/26/2022]
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Domestic and Imported Food Product Recalls in Japan: Trend Analysis and Preventive Measures. SUSTAINABILITY 2022. [DOI: 10.3390/su14137863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In Japan, 700–800 food products are recalled each year. Food product recalls affect consumer health as well as businesses, depending on the content and scale of the recalls. Approximately 10% of food loss from food manufacturers was generated in 2018 and 2019. In Japan, food product recalls and measures to prevent them have not been sufficiently studied. Therefore, to investigate this issue, about 2300 recalls instigated by regulatory bodies in Japan from 2018 to 2020 were classified based on product category, responsibility, reason for recall, and violation of laws and regulations, and the trends were analyzed. Recalls were primarily associated with violation of the Food Sanitation Law and Food Labeling Act, due to contamination by microorganisms or foreign materials, mis- or non-declaration of expiration or best-before date, and mis- or non-labeling of allergens. Therefore, better management by adopting the Hazard Analysis and Critical Control Point and food safety management systems as preventive measures and the design review of ISO 9001: 2018 may be effective in reducing recalls. Moreover, better communication between manufacturing and importing countries to ensure compliance with laws on safety limits of ingredients and label preparation may reduce the number of recalls.
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Sanchez E, Simpson RB, Zhang Y, Sallade LE, Naumova EN. Exploring Risk Factors of Recall-Associated Foodborne Disease Outbreaks in the United States, 2009-2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19094947. [PMID: 35564342 PMCID: PMC9099668 DOI: 10.3390/ijerph19094947] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/07/2022] [Accepted: 04/16/2022] [Indexed: 02/04/2023]
Abstract
Earlier identification and removal of contaminated food products is crucial in reducing economic burdens of foodborne outbreaks. Recalls are a safety measure that is deployed to prevent foodborne illnesses. However, few studies have examined temporal trends in recalls or compared risk factors between non-recall and recall outbreaks in the United States, due to disparate and often incomplete surveillance records in publicly reported data. We demonstrated the usability of the electronic Foodborne Outbreak Reporting System (eFORS) and National Outbreak Reporting System (NORS) for describing temporal trends and outbreak risk factors of food recalls in 1998−2019. We examined monthly trends between surveillance systems by using segmented time-series analyses. We compared the risk factors (e.g., multistate outbreak, contamination supply chain stage, pathogen etiology, and food products) of recalls and non-recalls by using logistic regression models. Out of 22,972 outbreaks, 305 (1.3%) resulted in recalls and 9378 (41%) had missing recall information. However, outbreaks with missing recall information decreased at an accelerating rate of ~25%/month in 2004−2009 and at a decelerating rate of ~13%/month after the transition from eFORS to NORS in 2009−2019. Irrespective of the contaminant etiology, multistate outbreaks according to the residence of ill persons had odds 11.00−13.50 times (7.00, 21.60) that of single-state outbreaks resulting in a recall (p < 0.001) when controlling for all risk factors. Electronic reporting has improved the availability of food recall data, yet retrospective investigations of historical records are needed. The investigation of recalls enhances public health professionals’ understanding of their annual financial burden and improves outbreak prediction analytics to reduce the likelihood and severity of recalls.
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Affiliation(s)
- Emily Sanchez
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA; (R.B.S.); (Y.Z.); (L.E.S.)
- Army Medical Department Student Detachment, U.S. Army Medical Center of Excellence, Fort Sam Houston, San Antonio, TX 78234, USA
- Correspondence: (E.S.); (E.N.N.); Tel.: +1-(608)-449-3194 (E.S.); +1-617-636-2927 (E.N.N.)
| | - Ryan B. Simpson
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA; (R.B.S.); (Y.Z.); (L.E.S.)
| | - Yutong Zhang
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA; (R.B.S.); (Y.Z.); (L.E.S.)
| | - Lauren E. Sallade
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA; (R.B.S.); (Y.Z.); (L.E.S.)
| | - Elena N. Naumova
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA; (R.B.S.); (Y.Z.); (L.E.S.)
- Correspondence: (E.S.); (E.N.N.); Tel.: +1-(608)-449-3194 (E.S.); +1-617-636-2927 (E.N.N.)
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Soon JM, Abdul Wahab IR. Global food recalls and alerts associated with labelling errors and its contributory factors. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.11.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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