scholarly journals A Systematic Review of Listeria Species and Listeria monocytogenes Prevalence, Persistence, and Diversity throughout the Fresh Produce Supply Chain

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1427
Author(s):  
Anna Townsend ◽  
Laura K. Strawn ◽  
Benjamin J. Chapman ◽  
Laurel L. Dunn
Keyword(s):  
Supply Chain ◽  
Listeria Monocytogenes ◽  
Safety Concern ◽  
Fresh Produce ◽  
Natural Environments ◽  
Produce Safety ◽  
Listeria Species ◽  
Natural Production ◽  
Safety Research ◽  
Boolean Search

Listeria monocytogenes is an increasing food safety concern throughout the produce supply chain as it has been linked to produce associated outbreaks and recalls. To our knowledge, this is the first systematic literature review to investigate Listeria species and L. monocytogenes prevalence, persistence, and diversity at each stage along the supply chain. This review identified 64 articles of 4863 candidate articles obtained from four Boolean search queries in six databases. Included studies examined naturally detected/isolated Listeria species and L. monocytogenes in fresh produce-related environments, and/or from past fresh produce associated outbreaks or from produce directly. Listeria species and L. monocytogenes were detected in each stage of the fresh produce supply chain. The greatest prevalence of Listeria species was observed in natural environments and outdoor production, with prevalence generally decreasing with each progression of the supply chain (e.g., packinghouse to distribution to retail). L. monocytogenes prevalence ranged from 61.1% to not detected (0.00%) across the entire supply chain for included studies. Listeria persistence and diversity were also investigated more in natural, production, and processing environments, compared to other supply chain environments (e.g., retail). Data gaps were identified for future produce safety research, for example, in the transportation and distribution center environment.

Evaluation of biofilm-forming abilities of Listeria monocytogenes (ATCC 19115) and efficacy of different washing methods for removal of biofilm on apple

Food Research ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 259-265
Author(s):  
Y. Ali ◽  
H.Y. Mah ◽  
E.T. Phuah ◽  
S.N. Chen ◽  
S.K. Yeo ◽  
...  
Keyword(s):  
Supply Chain ◽  
Listeria Monocytogenes ◽  
Biofilm Formation ◽  
Time Course ◽  
Tap Water ◽  
Fresh Produce ◽  
Foodborne Illness ◽  
Food Supply Chain ◽  
Log Reduction ◽  
Crystal Violet Assay

Fresh produce can be contaminated at any stage along the food supply chain. In this study, apple was chosen to determine the time course of biofilm formation by Listeria monocytogenes (ATCC 19115), as well as to compare the efficacy of different household washing methods such as scrubbing with hands under running tap water, soaking with and without commercial vegetable wash with different treatment times in removing the biofilm formation by L. monocytogenes on apple surface. The biofilm formation was quantified using crystal violet assay and the result showed that L. monocytogenes took 18 hrs to form matured biofilm on apple surface. Besides, scrubbing apples with hands under running tap water for 30 s and 60 s were the most effective method which significantly removed (P<0.05) biofilm formed on the apple surface with approximately 5.93 log reduction. Soaking apples with vegetable wash for 5 mins and 10 mins were also found to be significantly effective (P<0.05) in reducing L. monocytogenes biofilm. Since L. monocytogenes can form matured biofilm on fresh produce, therefore efficient washing step is important before consuming fresh produce to lower the risk of foodborne illness.

scholarly journals Interactions between Microbial Food Safety and Environmental Sustainability in the Fresh Produce Supply Chain

Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1655
Author(s):  
Francisco López-Gálvez ◽  
Perla A. Gómez ◽  
Francisco Artés ◽  
Francisco Artés-Hernández ◽  
Encarna Aguayo
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Environmental Sustainability ◽  
Food Supply ◽  
Fresh Produce ◽  
Chain Structure ◽  
Microbial Safety ◽  
Food Supply Chain ◽  
Produce Safety ◽  
Use Of Resources

Improving the environmental sustainability of the food supply chain will help to achieve the United Nations Sustainable Development Goals (SDGs). This environmental sustainability is related to different SDGs, but mainly to SDG 2 (Zero Hunger), SDG 12 (Responsible Production and Consumption), SDG 13 (Climate Action), and SDG 15 (Life on Land). The strategies and measures used to improve this aspect of the food supply chain must remain in balance with other sustainability aspects (economic and social). In this framework, the interactions and possible conflicts between food supply chain safety and sustainability need to be assessed. Although priority must be given to safety aspects, food safety policies should be calibrated in order to avoid unnecessary deleterious effects on the environment. In the present review, a number of potential tensions and/or disagreements between the microbial safety and environmental sustainability of the fresh produce supply chain are identified and discussed. The addressed issues are spread throughout the food supply chain, from primary production to the end-of-life of the products, and also include the handling and processing industry, retailers, and consumers. Interactions of fresh produce microbial safety with topics such as food waste, supply chain structure, climate change, and use of resources have been covered. Finally, approaches and strategies that will prove useful to solve or mitigate the potential contradictions between fresh produce safety and sustainability are described and discussed. Upon analyzing the interplay between microbial safety and the environmental sustainability of the fresh produce supply chain, it becomes clear that decisions that are taken to ensure fresh produce safety must consider the possible effects on environmental, economic, and social sustainability aspects. To manage these interactions, a global approach considering the interconnections between human activities, animals, and the environment will be required.

scholarly journals Decision and Coordination in a Dual-Channel Three-Layered Green Supply Chain

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 549 ◽  
Author(s):  
Zilong Song ◽  
Shiwei He ◽  
Baifeng An
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Environmental Performance ◽  
Fresh Produce ◽  
Green Supply Chain ◽  
Market Demand ◽  
Equilibrium Solutions ◽  
Sustainable Performance ◽  
Dual Channel ◽  
Social And Environmental Performance

This paper investigated, for the first time, the game and coordination of a dual-channel, three-layered, green fresh produce supply chain, with regard to its economic, social, and environmental performance. Considering that the market demand is dual-channel priced and sensitive to the degree of greenness and the freshness-level, four game models, under different scenarios have been established. These included a centralized scenario, a decentralized scenario, and two contractual scenarios. The equilibrium solutions under the four scenarios were characterized. From the perspective of a sustainable development, the economic, social, and environmental performance of the supply chain was analyzed. To enhance the supply chain performance, two contract mechanisms were designed and the conditions for a multi-win outcome were obtained. Accordingly, many propositions and management implications were provided. The results showed that, (1) compared to the centralized supply chain case, the performance of the decentralized supply chain case is inferior; (2) in addition to increasing the concentration of the supply chain decisions, the two contracts proposed can effectively coordinate the green supply chain and improve its sustainable performance; and (3) the performance of the supply chain is positively driven by the consumers’ sensitivity to greenness degree and the freshness level of fresh produce. This paper fills a research gap and helps the participants of the channel recognize the operational decision principle of a complex green supply chain, in order to achieve a higher and a long-term sustainable-development performance.

Optical forward-scattering for detection of Listeria monocytogenes and other Listeria species

2007 ◽  
Vol 22 (8) ◽  
pp. 1664-1671 ◽  
Author(s):  
Padmapriya P. Banada ◽  
Songling Guo ◽  
Bulent Bayraktar ◽  
Euiwon Bae ◽  
Bartek Rajwa ◽  
...  
Keyword(s):  
Listeria Monocytogenes ◽  
Forward Scattering ◽  
Listeria Species

scholarly journals Postharvest Supply Chain with Microbial Travelers: a Farm-to-Retail Microbial Simulation and Visualization Framework

2018 ◽  
Vol 84 (17) ◽  
Author(s):  
Claire Zoellner ◽  
Mohammad Abdullah Al-Mamun ◽  
Yrjo Grohn ◽  
Peter Jackson ◽  
Randy Worobo
Keyword(s):  
Supply Chain ◽  
Foodborne Pathogens ◽  
Empirical Data ◽  
Microbial Growth ◽  
Microbial Contamination ◽  
Fresh Produce ◽  
The United States ◽  
Plate Count ◽  
Modeling Tool ◽  
Parameter Ranges

ABSTRACTFresh produce supply chains present variable and diverse conditions that are relevant to food quality and safety because they may favor microbial growth and survival following contamination. This study presents the development of a simulation and visualization framework to model microbial dynamics on fresh produce moving through postharvest supply chain processes. The postharvest supply chain with microbial travelers (PSCMT) tool provides a modular process modeling approach and graphical user interface to visualize microbial populations and evaluate practices specific to any fresh produce supply chain. The resulting modeling tool was validated with empirical data from an observed tomato supply chain from Mexico to the United States, including the packinghouse, distribution center, and supermarket locations, as an illustrative case study. Due to data limitations, a model-fitting exercise was conducted to demonstrate the calibration of model parameter ranges for microbial indicator populations, i.e., mesophilic aerobic microorganisms (quantified by aerobic plate count and here termed APC) and total coliforms (TC). Exploration and analysis of the parameter space refined appropriate parameter ranges and revealed influential parameters for supermarket indicator microorganism levels on tomatoes. Partial rank correlation coefficient analysis determined that APC levels in supermarkets were most influenced by removal due to spray water washing and microbial growth on the tomato surface at postharvest locations, while TC levels were most influenced by growth on the tomato surface at postharvest locations. Overall, this detailed mechanistic dynamic model of microbial behavior is a unique modeling tool that complements empirical data and visualizes how postharvest supply chain practices influence the fate of microbial contamination on fresh produce.IMPORTANCEPreventing the contamination of fresh produce with foodborne pathogens present in the environment during production and postharvest handling is an important food safety goal. Since studying foodborne pathogens in the environment is a complex and costly endeavor, computer simulation models can help to understand and visualize microorganism behavior resulting from supply chain activities. The postharvest supply chain with microbial travelers (PSCMT) model, presented here, provides a unique tool for postharvest supply chain simulations to evaluate microbial contamination. The tool was validated through modeling an observed tomato supply chain. Visualization of dynamic contamination levels from harvest to the supermarket and analysis of the model parameters highlighted critical points where intervention may prevent microbial levels sufficient to cause foodborne illness. The PSCMT model framework and simulation results support ongoing postharvest research and interventions to improve understanding and control of fresh produce contamination.

Listeria monocytogenes in Raw Milk: Detection, Incidence, and Pathogenicity

1987 ◽  
Vol 50 (3) ◽  
pp. 188-192 ◽  
Author(s):  
J. LOVETT ◽  
D. W. FRANCIS ◽  
J. M. HUNT
Keyword(s):  
United States ◽  
Listeria Monocytogenes ◽  
Sampling Period ◽  
Raw Milk ◽  
The United States ◽  
Isolation Method ◽  
Listeria Species ◽  
Adult Mice ◽  
Listeria Ivanovii

To determine the incidence of Listeria monocytogenes in raw milk, an isolation method was evaluated and used to analyze milk from three areas of the United States. The incidence varied by area from 0% in California to 7% in Massachusetts, with an overall incidence of 4.2%. The highest incidence found in any area during a single sampling period was 12% in Massachusetts in March 1985. During that same sampling, the incidence for all Listeria species was 26%. Of the 27 L. monocytogenes strains isolated during the survey, 25 were pathogenic in adult mice. One of three Listeria ivanovii isolated was pathogenic. No other isolates demonstrated pathogenicity.

System feasibility: Designing a chlorine dioxide self-generating package label to improve fresh produce safety part I: Extrusion approach

2017 ◽  
Vol 43 ◽  
pp. 102-111 ◽  
Author(s):  
Carol Saade ◽  
Bassam A. Annous ◽  
Anthony J. Gualtieri ◽  
Karen M. Schaich ◽  
Linshu Liu ◽  
...  
Keyword(s):  
Chlorine Dioxide ◽  
Fresh Produce ◽  
Produce Safety

Sustainable logistics barriers of fruits and vegetables

2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Structural Model ◽  
Fresh Produce ◽  
Sustainable Transportation ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Logistics

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

Factors affecting the diffusion of traceability practices in an imported fresh produce supply chain in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ying Yi ◽  
Phil Bremer ◽  
Damien Mather ◽  
Miranda Mirosa
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Diffusion Of Innovation ◽  
Food Supply ◽  
Fresh Produce ◽  
Content Type ◽  
Factors Affecting ◽  
Integrated Framework ◽  
Food Supply Chains ◽  
Food Recalls

PurposeThe purpose of this paper is to facilitate the successful adoption of traceability technologies, such as blockchain, into food supply chains and facilitate the understanding of the barriers and enablers to their uptake by channel members' needs so that appropriate enabling strategy can be put in place.Design/methodology/approachIn this paper, an integrated framework involving five components was used as the methodology: (1) diffusion of innovation theory, (2) the innovation concept, (3) the business structure-conduct-performance paradigm, (4) legitimacy and (5) trust was developed and assessed for validity through interviewing 21 channel members, including distributors, wholesalers, Internet retailers and traditional retailers associated with a global fresh produce company's supply chain in China.FindingsBarriers negatively framing channel members' attitudes and decisions included a perceived lack of need owing to fresh produce having a short shelf life and being of low value and risk. However, the importance of traceability and the need for effective food recalls were not always understood among channel members, and distributed trust innovations were also suppressed by their lack of compatibility with the Chinese hierarchical culture.Originality/valueTo date, channel members' perception of innovations in food supply chains has not been considered in light of the components proposed in the integrated framework. The adapted framework used in this study ensured a comprehensive assessment of channel members' attitude and motivations toward traceability practices.

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