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Enhanced Bio-mapping and Enviro-mapping of a Further Processing Facility to Assess Contributing Factors for Listeria species Contamination at Different Stages of Production

Enhanced Bio-mapping and Enviro-mapping of a Further Processing Facility to Assess Contributing Factors for Listeria species Contamination at Different Stages of Production

2025 Student Travel Award Winner Paper

March 25, 2026
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Honors & Awards
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Students
Summit 2025
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Daniela R. Chavez Velado was one of eight students to win the 2025 Dr. Ron Schmidt Student Travel Award. At that time, she was a Texas Tech University PhD candidate. Her LinkedIn profile now indicates she has joined Certified Group as a research scientist. As a student, Daniela's research focused on improving food safety in poultry products, with the aim of promoting meaningful changes in food systems.

Soon, 3-A SSI will reveal winners of the 2026 Dr. Ron Schmidt Student Travel Award. In 2025, eight students were named recipients of the award, attending the 3-A SSI 2025 Summit on Hygienic Design and presenting poster sessions on their areas of study. This paper is the seventh of eight submited by the 2025 winners.

DanielaR. Chavez-Velado1, Mindy M. Brashers1, Marcos X.Sanchez-Plata1.

1International Center for Food Industry Excellence (ICFIE), Texas Tech University, Lubbock, Texas, United States.

Introduction: Listeria monocytogenes causes Listeriosis, a serious foodborne illness of concern to pregnant women, neonates, the elderly and immunocompromised individuals. Annually in the U.S. an estimate of 1,600 people is infected with Listeria and 260 people die from the infection[1]. Facilities implement environmental monitoring programs to verify that their safety plans are effectively preventing harborage of Listeria in the production environment and reduce the risk of cross-contamination and adulteration of their products[2]. Further processing facilities require detailed understanding of microbial dynamics across the production chain. This study aimed to establish facility-specific microbial baselines for Listeria spp. and total aerobic counts, identify potential harborage sites, and assess sanitation effectiveness over multiple days of production.  

Methods:

Bio-mapping: To evaluate the effect of the processing stages a total of six locations were selected to take sentinel samples: Raw-Marinated, After-Oven, Before-Freezer, After-Freezer, J.Scoop-Before-Bagger, and Rework. Samples were taken at 2, 5,and 10 hours into the shift over five production days. Approximately 10 g of product was collected, placed in Whirl-Pak® [3] bags, and sent to the ICFIE lab. Each sample was mixed with 90 mL Buffered Peptone Water (BPW), [4] homogenized, and analyzed for Total Count using Hygiena’s MicroSnap® (AOAC-RIPTM) [5]. Results were expressed in LogCFU/mL. The remaining sample was incubated (35 °C, 22–28 h), then analyzed for Listeria spp. DNA using HygienaBAX® System real-time PCR (AOAC-RI) [6]. Results were reported as negative or presumptive positive.  

Enviro-mapping: Environmental swabs were taken from five contact surfaces: Belt-After-Oven, Belt-Before-Freezer, J.Scoop-After-Freezer, After-X-Ray-Belt, and J.Scoop-Before-Bagger, three times daily across five days. MicroTally® swabs [7] were used to swab 1 minute per side. Swabs were sent to the lab, mixed with 175 mL BPW, and analyzed using the same protocols for total counts and Listeria detection.  

Results and discussion:

Listeria spp. Bio-mapping results: No positives were detected on Day 1, suggesting a clean production start. However, the most positives appeared at Time 1 (2 hours in), pointing to early-shift contamination risk [8,9]. Raw-Marinated samples had the highest Listeria presence (100% on Day 1; 33.33% Day 2; 66.67% Day 5), indicating persistent contamination in this area [10]. No positives were found Before-Freezer, and only one in Rework. Two positives After-Freezer suggest sporadic post-freezing contamination [11]. A single positive After-Oven (Day 3, Time 2) indicates potential post-lethality contamination. One positive at J.Scoop-Before-Bagger (Day 4, Time 1) may be due to personnel or equipment contamination before packaging.

Figure 1. Listeria spp. Prevalence Sentinel Samples by Process Step

Total counts Bio-mapping results: Raw-Marinated had the highest total counts (mean 4.83 LogCFU/mL), consistent with Listeria findings [10]. ANOVA showed no significant day (p =0.0531) or time (p = 0.820) effects overall, though the day effect approached significance. J.Scoop-Before-Bagger showed a significant day effect (p <0.05), indicating variable contamination possibly linked to operational changes [12]. No significant time effect was noted (p = 0.355), suggesting stable microbial loads throughout each shift.

Figure 2. Total Viable Counts (TVC) Sentinel Samples

Listeria spp. Enviro-mapping results:

On Day 1, all J.Scoop-Before-Bagger samples at Time 1 and 2 tested presumptively positive indicating early contamination that persisted through the first two timepoints [10,11]. J.Scoop-After-X-Ray showed the most consistent Listeria spp. positives throughout the 5-day sampling period. Positives were observed on Days 1, 2, 3, and 4, with 100% positivity on Day 4 at Time 3, indicating a recurring issue [8]. The Belt-After-Oven, Before-Freezer, and the Hopper did not yield any Listeria spp. positives, suggesting that these areas might not be contributing to contamination or that controls in place there are effectively mitigating risk [2]. Analysis across timepoints revealed that Time 3 had the highest occurrence of positives. This could point to increased environmental contamination as the day progresses, possibly due to residue buildup, decreased sanitation effectiveness, or handling practices toward the end of shifts [2,8,11].

Total counts Enviro-mapping results:  

Significant day-to-day differences were observed at Belt-Before-Freezer and J.Scoop-After-XRay, reflecting variable sanitation or production conditions. Sampling time had no significant effect, indicating day-to-day variation had a larger impact. Time 2 (mid-shift) showed the highest number of total count spikes, while Time 3 had the highest mean counts, indicating fewer but more severe contamination events late in the day. Day 3, Time 3 had the highest total counts overall, possibly linked to equipment or sanitation failure. [11]

Figure 3. Listeria spp. Prevalence for MicroTally® samples

References:

  1. CDC Listeria Infection (Listeriosis).
  2. FSIS; USDA FSIS Compliance Guideline: Controlling Listeria Monocytogenes in Post-Lethality Exposed Ready-to-Eat Meat and Poultry Products; 2014;
  3. Whirl-pak® Filtration group Nasco Sampling Whirl-Pak® Standard Sterilized Sampling Bags 2024.
  4. NEOGEN Buffered Peptone Water (BPW)(ISO).
  5. Meighan, P.; Hygiena, LLC. AOAC 031501 MicroSnap Total; 2017;
  6. Stawick, B.A. AOAC 081401 BAX® System Real-Time PCR Assayfor Genus Listeria; 2024; Vol. 300;.
  7. Fremonta MicroTally Swab 2023.
  8. Reinhard, R.G.; Kalinowski, R.M.; Bodnaruk, P.W.; Eifert, J.D.; Boyer, R.R.; Duncan, S.E.; Bailey, R.H. Incidence of Listeria Spp. in Ready-to-Eat Food Processing Plant Environments Regulated by the U.S. Food Safety and Inspection Service and the U.S. Food and Drug Administration. J Food Prot 2018, 81, 1063–1067, doi:10.4315/0362-028X.JFP17-440.
  9. Chen, B.-Y.; Wang, C.-Y.; Wang, C.-L.;Fan, Y.-C.; Weng, I.-T.; Chou, C.-H. Prevalence and Persistence of Listeria Monocytogenes in Ready-to-Eat Tilapia Sashimi Processing Plants. J Food Prot 2016, 79, 1898–1903, doi:10.4315/0362-028X.JFP-16-149.
  10. Szymczak, B.; Szymczak, M.; Trafiałek,J. Prevalence of Listeria Species and L. Monocytogenes in Ready-to-Eat Foods in the West Pomeranian Region of Poland: Correlations between the Contamination Level, Serogroups, Ingredients, and Producers. Food Microbiol 2020, 91, 103532,doi:10.1016/j.fm.2020.103532.
  11. Osek, J.; Lachtara, B.; Wieczorek, K.Listeria Monocytogenes - How This Pathogen Survives in Food-Production Environments? Front Microbiol 2022, 13, 866462, doi:10.3389/fmicb.2022.866462.
  12. Rani, Z.T.; Mhlongo, L.C.; Hugo, A. Microbial Profiles of Meat at Different Stages of the Distribution Chain from the Abattoir to Retail Outlets. Int JEnviron Res Public Health 2023, 20, doi:10.3390/ijerph20031986.

Join us May 4-7, 2026, in Chicago for the 3-A SSI 2026 Summit on Hygienic Design. The agenda features two tracks--advanced technical and foundational sessions--and half a day dedicated to artificial intelligence. Plus, networking opportunities at the Summit are unparalleled. You'll mingle with the people who actually write the 3-A Sanitary Standards, peers who face the same plant floor challenges as you, and students on track to be the industry leaders of the future. Learn more and register today.

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