Ask The Expert

Food Safety Training Needs: Adapting to Today’s Market. A Q&A with Fabiola Negrón

By Fabiola Negrón
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Food Safety Tech asked Fabiola Negrón what shifts are dominating the training landscape. And “why now” for a new product, SkillUp, from Registrar Corp.

We see tariffs affecting just about everything — does this reach to food safety and food safety training specifically?

Absolutely. Ingredient quality is of course a concern as a result of supply chain disruptions. But in terms of food safety training and workforce ability to follow food safety protocols, it’s all about efficiency. As ingredients, packaging materials, equipment, and shipping expenses rise due to tariffs, food manufacturers are forced to find savings elsewhere. But food safety is not something that can be skimped on. The focus then is on how to be more efficient.

eLearning has become more and more essential in our industry. This is nothing new of course, as eLearning has been around for decades, a testament to its effectiveness when done well. It’s more about streamlining. Every once in a while, a forced re-evaluation can be a good thing. We’re finding ways to save time by eliminating some bells and whistles from bloated platforms, saving admin and facilitator time with more eLearning, as well as less time away from production.

It can be difficult to get a true sense of the cost inherent in building and maintaining a training program, not to mention the outcomes. We developed a cost calculator to try and help with this, which anyone can use. It pulls from multiple databases of industry and workforce data to provide a clear picture in just a minute or two, or you could spend a few more minutes inputting your own data points.

You mentioned “when done well.” What makes a good eLearning program?

The three biggest factors are relevance, duration, and interactivity. Starting with relevance, because presenting a learner with something that doesn’t apply to them is the surest way to have them tune out or go through the motions. This means both the topic should apply to their job role, and the content should reflect their work conditions.

As for duration, the shorter the better is always true — but, again, without skimping on content and quality. This is especially true for the foundational topics like personal hygiene, cross contact, cross contamination, and so on. As career professionals, we could talk for days on one topic alone. But for a new production worker, overly complicated analysis is not going to help them keep your facility safe. Instead, it is critical to distill the curriculum into the most effective way to ensure they comprehend what they’re learning, can recall the info, and can put it into practice. A 10-minute eLearning course will almost always be sufficient to cover the fundamentals on one topic. Ensure your team members have this nailed down perfectly before introducing more complex elements.

Interactivity is just as important. This ensures trainees do things as part of the course, which is a far better way to learn than receiving information passively. This can mean drag-and-drop exercises, role-playing scenario questions, and quizzes. The key is to keep learners engaged by doing, not just listening.

What is the biggest change in how food manufacturers can execute on your advice?

It would be impossible to answer this question without talking about AI, so let’s start there. Modern training platforms should have AI course creation built in. This is extremely helpful for things that go beyond the core principles. You can enter a source document or provide a short description, and an AI course creator will do the rest. First providing an outline for you to review, then creating an actual script, even adding spot-on quizzes and knowledge checks.

You can get a glimpse of how this works on our AI Create webpage.

A must- must- must-do, of course, is to review and correct any errors or omissions. AI can save you countless hours of time, but it’s not 100% automatic. There will be mistakes that you, as the true subject matter expert, will need to correct or clarify.

But, let’s take a step back. It’s hard to think of AI utilization as overcomplicating things given its tremendous efficiency in course development. But sometimes even this is time better spent. Going back to my earlier comment on keeping things simple for workforce training, particularly when it comes to core food safety fundamentals. Food manufacturers have access to pre-built eLearning course libraries that cover these food safety training must-haves very well.

A winning formula is to use the library from a reliable training partner to cover the fundamental principles. And leverage AI for the deeper dives or unique aspects of your facility. By utilizing a pre-built library, you don’t need to reinvent the wheel for a few dozen core principles that are universal and unwavering. For example, Cleaning and Sanitizing is a topic that should be covered in any training library. Your vendor’s course will cover the basic principles, include interactive exercises to cement understanding, and have quizzes to document comprehension. Then, you may have unique aspects particular to your facility that the sanitation department must follow. With the foundation provided, you can use AI to make an eLearning course on your unique processes.

SkillUp is a new example of a training vendor as you described. Why did Registrar Corp develop this new offering now, after nearly 25 years leading the food safety compliance space?

To fill a noticeable gap in the industry. The existing training vendors were not meeting the needs of many small food manufacturers. Not every company has thousands of employees. Many companies need a solution with lighter implementation, easier management, and — perhaps most importantly — a more affordable option.

Registrar Corp provides a wide range of food safety compliance services. And we have been providing professional eLearning for advanced food safety principles, like PCQI training, HACCP certification, FSVP training, and more. So, we recognized the gap in frontline worker training for small- to medium-sized facilities. Several of our leaders who developed SkillUp have decades of experience in the food safety training space. I believe they just recognized the gap and were well positioned to provide a solution to fill it.

If your readers are interested in learning more about it, they can visit the SkillUp web page, or feel free to reach out to me on LinkedIn.

 

Can Robots Keep Your Facility Clean?

By Ellie Gabel
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Food and beverage facilities have some of the strictest compliance protocols for cleanliness to preserve quality and integrity. This care prevents foodborne illness from spreading and products from going into landfills because of rotting or other issues. Organizations are experimenting with automation and food processing robotics to handle cleaning tasks. Is it more efficient, and does it uphold safety standards?

How Robots Clean Food Processing Facilities

The variety of available cleaning robots and tools is expansive. Whether they are as capable as humans in maintaining hygiene protocols is still being researched. However, existing case studies prove they could be invaluable assets for preventing cross-contamination, freeing up labor resources and enhancing the cleanliness of food facilities.

Robots could mop floors and spray disinfectant or execute tasks that often lead to human error or microbial contamination, such as kneading dough or washing produce. Picking and placing delicate foods is another chance to eliminate harmful influences, especially with sensitive products like meat that can more easily spread illness.

The versatility of robotics highlights how many cleanliness improvements can happen in industrial settings, as generalized janitorial tasks are not the only maintenance method. Production lines, packing equipment, and transportation tools can all employ robots that use smart materials and technological enhancements to prevent compliance concerns and detect issues early.

What Technologies Promote Hygienic Facilities?

Food quality control systems like the Good Manufacturing Practices and ISO 22000 are only a couple of examples of frameworks that demand tight quality control for production and packaging. These are the most crucial technologies enabling compliance adherence for the future.

Automated Sanitation Systems

Precision robotics and cobots can come equipped with peripherals like spray nozzles to expand cleaning and sanitation potential. They can extend their arms to hard-to-reach locations, scrubbing surfaces that were rarely touched before. Experts can program the equipment to run on a schedule, disinfecting surfaces on the most optimal timetable based on common contaminants and compliance expectations.

Ultraviolet-C (UVC) Disinfection Robots

UVC is a common component of industrial cleaning systems, but disinfection robotics can emit these wavelengths to disinfect vulnerable surfaces and tools on a consistent timer. They are even being used in agriculture to handle common pests and growths like mites and mildew. The light stops harmful DNA from replicating, making it easier to control rapidly spreading bacteria.

Deep Cleaning Robots

Deep cleaning robots have been around for decades, but they are becoming more proficient. Options like automated floor scrubbers and biofilm removers could be some of the most helpful in food operations. They remove time-consuming tasks from humans, opening their schedules for more attentive quality control measures.

To maximize the value of deep cleaning robots, manufacturers should consider the plant’s layout. Space optimization and establishment of production zones are crucial for determining the best machines to handle certain areas. Some facilities have adaptable equipment, allowing the floor plan to change depending on production needs. Robotics needs to be equally flexible, adapting to new workflows without instigating bottlenecks or safety concerns. Doing so enables decision-makers to lower labor costs and increase productivity.

Compliance and Traceability

Some robots do not have to clean to assist in hygienic compliance. Engineers can program sensor-based technologies with regulatory parameters to detect when issues arise. This encourages continuous monitoring while creating a data trail for upcoming audits. Internally, stakeholders can use this data to establish new quality assurance metrics and mitigate the company’s most persistent issues.

Real-Time Monitoring and Reporting

The reports observational robotics generates are crucial for automating compliance reporting, too. If a robot is unavailable to do certain cleaning tasks, workers will need to mend the gaps.

They can oversee data clarity from monitoring tools and use it to inform training programs, making staff-driven cleaning efforts more productive. This minimizes uncertainty about the most significant contamination sources while asserting a culture of proactive cleaning intervention.

Soft Robotics

Hygienic designs and materials are essential for making automation a staple of food processing robotics. Soft machinery made from silicone offers a flexible and hygienic option compared to traditional equipment. They prevent corrosion and are suboptimal breeding grounds for many bacteria.

These machines are better equipped to grip and transport vulnerable foods like fruits that are prone to bruising, cutting human contamination out of the production line. However, they only work in conjunction with automated robots that clean the workstations. The additional oversight is necessary, especially when staff are unable to clean the food-handling machinery themselves.

Food Processing Robotics and Automated Hygiene

Robots are assuming the responsibilities that few team members want to. Sanitation and cleanliness are vital for maintaining compliance and preserving quality, and robots are proving to be crucial components of hygiene and safety plans moving forward. Innovative facilities will experiment with these resources to empower employees, improve safety and create better products, promoting a healthy working relationship between humans and robotics.

Could the Right Digital Tools Transform EUDR Compliance from Burden to Advantage?

By Emily Newton
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The European Union’s Deforestation-free Regulation (EUDR) requires companies producing, importing or exporting select commodities to prove their goods did not originate from deforested land or contribute to forest degradation. EUDR compliance changes how food manufacturers’ supply chains operate.

Industry professionals should view this regulation as a business opportunity, not a burden. With the right tools, they can expand their target demographic, strengthen brand reputation and increase customer retention.

What Companies Should Know About the EUDR

The EUDR technically became legally binding in June 2023, targeting popular commodities like palm oil, cocoa, wood, soy, rubber, cattle and coffee. However, the E.U. allowed a 12-month phase-in period in December 2024, giving medium and large companies 12 months to comply. Micro and small enterprises (MSEs) have until June 2026.

While these dates are fast-approaching, businesses have more than enough time to implement the necessary interventions. They should start with the fundamentals.

Why the Coffee Supply Chain Is in the Spotlight

Coffee is not just a commodity or a morning pick-me-up but a global sensation. For some, it is a lifestyle. They spend hours and thousands of dollars to pull a perfect espresso shot. In the United States, the arrival of fall is synonymous with “pumpkin spice season,” a commercialized cultural phenomenon dedicated to seasonal lattes.

In 2025 alone, the global at-home and out-of-home coffee markets generated over $485.59 billion in revenue. This popularity is not without its costs — this acclaimed crop has a history of environmental concerns.

The EUDR spotlit this sector’s supply chain because it contributes to deforestation. In Central America alone, growers have cleared more than 2.5 million acres to establish sun-grown coffee farms, which have higher yields than the traditional farms using tree canopy shade. Farmers clear-cut forests to make room for coffee trees.

How It Adds to Coffee Supply Chain Challenges

One of the top coffee supply chain challenges is fragmentation. Communication is challenging because many smallholder farmers — who grow 60% of the world’s coffee — lack access to modern technologies.

Even if farmers have messaging apps and email addresses, they may be unable to produce geolocation data, satellite imagery or detailed descriptions of forest degradation. Field audits are a possible alternative, but traveling from the E.U. to an equatorial country is expensive, especially since the EUDR mandates annual reviews.

What It Takes to Become Compliant With the EUDR

The cut-off date for deforestation was December 31, 2020. If locals cleared a forested area for agricultural use after this date, the EUDR prohibits goods sourced there from being traded on the E.U. market.

Businesses must establish and maintain a due diligence system to ensure EUDR compliance. MSEs and lone entrepreneurs must publicly report their steps to fulfill their obligations at least once a year. The due diligence statement template is the same regardless of commodity type or industry. It includes details like contact information, harmonized system code, country of production and geolocation data.

Reviewing Little-Known Compliance Considerations

Due to complex legal jargon, laypeople may not realize compliance extends beyond ensuring goods are deforestation-free. Several sections stand out in particular.

Packaging and Packing Material

While EUDR compliance does not extend to packaging that supports, protects or carries products — as long as it is not made available on the market in its own right — the European Commission reserves the right to review and update the regulation. One day, packaging and packing material may be subject to deforestation-free standards.

Eliminating unnecessary intermediaries may help streamline the process by reducing administrative overhead and preventing circumvention risks. Take nitrogen, for example, which increases food shelf life by slowing oxidation. It protects the rich oils and aromas that are tokens of freshly roasted coffee’s popularity, safeguarding taste and freshness. Preserving food this way requires specific flow rates and purity levels. An on-site generator introduces far fewer compliance obligations than a third-party supplier.

Local Laws

Growers often work long, tiring hours to cultivate and harvest their yields. Ripening windows are usually inconsistent, so they must pick coffee cherries individually by hand. Despite being fundamental to the supply chain, many receive little to no compensation.

Many industry professionals do their best to properly compensate their growers, suppliers and vendors. Since the EUDR mandates manufacturers to produce goods according to the country of production’s local laws, this practice is now mandatory. This includes abiding by land tenure laws and human rights standards.

Simplified Due Diligence

Those sourcing from low-risk countries benefit from simplified due diligence obligations. They do not have to assess or mitigate risks unless someone informs them of substantiated concerns indicating noncompliance. However, they must still evaluate supply chain complexity to determine circumvention risks.

As of 2025, the E.U. has placed countries of origin like Brazil, Colombia, Indonesia and Honduras in the standard risk category, meaning this simplified obligation is largely unavailable for food manufacturers in the coffee industry.

Digital Tools Transforming EUDR Compliance

Traders need their farm’s exact location. They can use coordinates or a two-dimensional polygon. Apps like TerraTrac allow for basic traceability. Publicly available maps like those from the Rainforest Alliance can also guide decision-making. Medium and large enterprises may prefer a platform that integrates with their enterprise resource planning software.

Traditionally, detecting deforestation as it happens is difficult. However, modern technologies make it straightforward. Global Positioning System mapping and geospatial tools provide more than coordinates. Professionals can layer descriptive attributes on top of a real-world location, mapping events, risks or objects to guide informed decision-making.

The blockchain provides a decentralized, immutable platform for tracking such data points. Business owners can seamlessly coordinate with everyone from growers to roasters. Since no one can edit or delete a block without every participant’s permission, tampering and fraud are practically impossible.

Artificial intelligence is another cutting-edge tool that can help streamline communication and decrease administrative workloads. It can translate messages, conduct risk analyses or automate reporting.

How the Right Tools Create Business Opportunities

Facing coffee supply chain challenges like fragmentation or insufficient digitalization does not have to be intimidating. With the right tools, it can even feel exciting. Comprehensive visibility enables brands to capitalize on consumers’ increasing sustainability awareness. They can provide QR codes with tracking data or personalize labels based on the product’s origin.

People will perceive these details as value-added features, incentivizing them to purchase. Early adopters can target sustainability-minded demographics, helping them strengthen brand reputation and unlock new market opportunities.

Even people who do not feel strongly about green or climate-friendly products will appreciate being able to verify their product’s origin and authenticity. Data is a moneymaker. It could enable companies to charge a premium for ethical, traceable goods — even if they do not change their formula or suppliers.

Brands Can Use EUDR Compliance to Their Advantage

Ensuring EUDR compliance will take time, but investing in the right digital tools — some of which are free — will streamline the process and create business opportunities. Those who change now could corner the market, ensuring success despite major regulatory changes.

Campbell's Chicken Noodle Soup cans on a shelf

Using Automated Vision Systems to Prevent Post-Process Contamination in Canned Goods

By Ellie Gabel
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Campbell's Chicken Noodle Soup cans on a shelf

There is a heightened post-process contamination risk for canned goods, especially after sterilization, when mismanagement, equipment breakdowns and flawed packaging compromise product integrity by introducing pathogens and foreign materials. The most minor sanitation defects can cause food spoilage, foodborne illnesses and significant recall liability.

Canned goods manufacturers must uphold stringent protocols to comply with regulatory requirements and preserve consumer safety and trust. With more diverse inventory and packaging designs on the horizon, integrating automated vision systems is critical to ensure consistent quality.

What Are Automated Vision Systems? 

Automated vision systems use high-resolution cameras, sensor technology and artificial intelligence (AI) to monitor and assess products in real time. Traditionally, post-process contamination inspections relied on fatigued human operators, which resulted in inconsistencies and errors.

Also known as machine vision, these systems perform product analyses for long hours at a low expenditure. They deliver outcomes rapidly, detecting nuanced defects and contaminants that the human eye might miss, guaranteeing maximum efficiency and accuracy. Their adaptability is ideal for handling various container and packaging line formats.

Key Drivers for Adoption in the Food Industry

The Food Safety Modernization Act (FSMA) and critical Food and Drug Administration guidelines are key drivers for adopting automated vision systems in canned goods manufacturing. The FSMA, especially, is a prevention-focused approach to food safety regulation throughout the supply chain. An emphasis on hazard analysis leaves facilities responsible for minimizing risks through proper identification and preventive control.

The food production industry has also endured labor shortages for several years, further incentivizing new technologies to fill in the gaps and alleviate supply chain pressures. Consumer demand for transparency and higher food quality standards is equally essential for automated visual system integration.

A recent National Sanitation Foundation Institute white paper found that 83% of American consumers read food labels, while 82% want more in-depth processing information. Utilizing this new technology can deliver on this expectation.

How Automated Vision Systems Prevent Post-Process Contamination

Automated vision systems prevent post-process contamination by looking for foreign objects — such as metals and biological materials — broken seals and incorrect labeling. The advanced cameras and machine learning algorithms capture images and insights about the product size, shape and characteristics, ensuring the precision of all information and packaging. In one study, the system’s detection capabilities achieved 97.88% and 88.75% efficiency and accuracy, respectively.

It also automates inspection data, enhances traceability and promotes regulatory compliance. The system’s exactness dramatically reduces human error for optimal quality assurance.

Implementation Considerations for Food Manufacturers

 

Canned goods manufacturing machinery must have flexible engineering, capable of rapid self-adjustment with minimal oversight, as it increasingly manages a mix of plastic, glass and aluminum containers. Lacking the proper equipment could result in product damage and reduced performance, hindering operations and customer satisfaction.

Implementing automated vision technology accommodates inspection parameters for various packaging types without manual recalibration. Their user-friendly interfaces streamline changeovers and support high-quality analysis, even with evolving packaging and stock-keeping units.

Comprehensive training is essential for deployment, so teams feel empowered to adapt to the new technology.  Ongoing maintenance is also necessary to avoid operational disruptions. Predictive maintenance uses advanced sensors with embedded algorithms to detect problems before they occur or worsen, enabling technicians to gain control of the situation and avoid lost labor and revenue.

ROI and Measurable Benefits

Canned goods manufacturers benefit from a strong return on investment through reduced food waste and avoided product recalls. Research shows that recalls cost between $3 million and $72.7 million per organization, depending on firm size and type.

Contamination prevention also reduces the likelihood of foodborne illnesses and associated medical costs. In 2018, food-related pathogens posed an economic burden of $17.6 billion, up 13% from 2013.

Other direct and indirect financial impacts of unsafe food include reduced workplace productivity and absenteeism among those seeking medical treatment, increased liability insurance, legal proceedings and widespread reputational damage.

Future Trends for AI, IoT and Advanced Imaging 

AI, the Internet of Things and predictive analytics are transforming automated vision systems, improving functionality for post-process contamination inspection. Advanced algorithms detect the most minor anomalies while packaging lines and regulatory standards become increasingly complex.

Adding edge computing has delivered more impressive results, although integrating it with legacy systems is challenging. Edge computing speeds up data processing, reduces latency and improves the digital security of sensitive information. These solutions are adaptive and learn new information on a decentralized network.

Machine vision cameras are also growing clearer and more precise. Zoom functions enable imaging from far distances and under varying lighting conditions, from inspection to sorting and processing. Likewise, event-based cameras react to motion in microseconds, eliminating blurring and adapting to brightness fluctuations.

Paving the Way for Safer, Smarter Canned Goods

Applying automated vision systems in canned goods manufacturing transforms how the industry addresses contamination risks with maximum efficiency. Investing in these solutions and prioritizing staff training enables seamless adoption and positions food processing plants for long-term expansion and innovation.

In the Food Lab

Shared Science for Shared Safety: Strategies for Pet and Human Food Safety

By Caitlin Karolenko, PhD, Wendelyn Jones, PhD
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Most people don’t think twice about pouring kibble into a pet’s bowl or tearing open a packet of crackers. Dry foods feel safe. They sit on shelves for months without spoiling, don’t require refrigeration, and look and smell unchanged long after initial purchase.

But “dry” does not mean risk-free. Pathogens such as Salmonella and Listeria monocytogenes can survive in low-moisture environments for months or even years, and when contamination happens, the effects can be widespread. Whether the end consumer is a child snacking on peanut butter crackers or a dog chewing jerky treats, the hazards—and many of the prevention strategies—overlap far more than most realize. Understanding these connections can strengthen food safety across sectors, protecting both people and pets.

The connection between pets and humans is well documented, with many pets now viewed as part of the family. As a result, pet food is no longer an afterthought but is considered just as important as the food of human members of the household. With know-how on working with brick and mortar retailers, on-line shopping platforms and opportunities for increased positive brand positioning, it is not surprising the number of acquisitions of pet food companies by human food companies in recent years. Additional parallels from a processing and manufacturing perspective also reinforce the business case for the expansion of human food companies into pet food. Of note (and certainly not an exhaustive list), General Mills purchased Blue Buffalo in 2018, and Post Holdings entered the pet food market by acquiring several brands from J.M. Smucker in 2023. Additionally, Mars and Nestlé have sold both human food and pet food for decades.

Shared Risk: Low-Moisture Foods

Pet diets often include dry kibble, jerky treats, and freeze-dried or dehydrated proteins which are considered low-moisture foods (LMFs). LMFs are defined as those with a water activity below 0.85. While this level of available water prevents microbial growth, it does not eliminate pathogens once present. Instead, microorganisms can persist in a dormant state, becoming more resistant to heat and other stressors.

The most concerning hazards in LMFs are Salmonella, Cronobacter and Escherichia coli. (while less common Listeria monocytogenes is still a risk.) These hazards emphasize the risks associated with seemingly benign dry foods. Numerous outbreaks have been tied to LMFs in humans including Salmonella contamination in peanut butter, E. coli and Salmonella contamination in flour and Salmonella and Cronobacter concerns in dried spices and powdered milk respectively.

Despite their dry appearance, pet food products can provide a long-term refuge for pathogens. With both human and animal foods, contamination can occur at multiple stages: at the raw ingredient procurement steps, within processing environments, and after packaging during storage, distribution, or even in the household through improper handling. The microbial risks are not confined to one step but are woven into the very nature of LMFs themselves.

Regardless of whether discussing human food or pet food, pathogen contamination events can result from a variety of circumstances, such as the introduction of a pathogen:

  • Through a contaminated ingredient (e.g., at the beginning of the line or at an intermediate step when an ingredient is added)
  • Along the processing line where the product or its ingredients are exposed to the environment
  • Introduction of an environmental pathogen by personnel in the plant
  • Onto dry processing equipment through introduction of water (e.g., through condensation or a leaking roof).

The above list is a modification of FDA draft guidance for “Establishing Sanitation Programs for Low-Moisture Ready-to-Eat Human Foods…”– but it clearly applies to pet food (Link to source https://www.fda.gov/regulatory-information/search-fda-guidance-documents/draft-guidance-industry-establishing-sanitation-programs-low-moisture-ready-eat-human-foods-and).

In pet food, these contamination risks are not hypothetical.. In 2012, Salmonella contamination in dry dog food was linked to human illnesses in multiple states. More recently in 2021, several brands of pet food were recalled after more than 130 pet deaths and 220 illnesses were reported. And in August 2025, there was another recall of dog and cat food due to Salmonella and L. monocytogenes contamination. (https://www.fda.gov/safety/recalls-market-withdrawals-safety-alerts/viva-raw-issues-voluntary-recall-two-lots-dog-cat-foods-due-salmonella-and-listeria-monocytogenes)

The risks extend beyond the pet’s health. A dog fed contaminated kibble may appear healthy yet shed Salmonella in its feces. Humans can then be exposed by touching pet food, handling bowls, or cleaning up after the pet. Children, the elderly, and immunocompromised individuals are particularly at risk. Pet food contamination is not just a veterinary issue. It is a household food safety issue.

Overlap in Preventative Strategies

While human food and pet food are marketed and regulated differently, the science of prevention is strikingly similar. The Food Safety Modernization Act (FSMA) requires risk-based preventive controls for both human and animal foods. This alignment reflects an important reality: hazards in dry foods are not consumer-specific—they are science-specific. Whether the end user is a toddler eating cereal or a dog chewing on kibble, the microbial risks and the tools to mitigate them are shared.

Preventative strategies originally developed for human LMFs often have direct application in pet food. These include environmental monitoring programs to detect pathogens, dry sanitation practices to reduce the introduction of water which can inadvertently create microbial harborage sites, and kill-step validation to ensure that processes achieve the necessary lethality against resistant pathogens in low-moisture conditions.

Lessons learned in one sector often migrate to the other. Extrusion validation in pet food manufacturing now closely mirrors approaches in human snack and cereal production where thermal processing under low-moisture conditions must be validated for microbial control. Zone-based environmental monitoring is a long used best practice in human food facilities, and is increasingly standard in pet food plants to reduce cross-contamination between raw and finished product zones. Air handling strategies pioneered in dry dairy product facilities are also being adopted by pet treat producers, particularly those making freeze-dried or dehydrated products.

These parallels are not accidental. They reflect the simple fact that pathogens do not distinguish between crackers and kibble, peanut butter and pet treats. What matters is the environment in which the food is made and the rigor of the controls applied. The convergence of regulatory expectations, scientific insights, and industry practices highlights an important opportunity: when we strengthen safety systems for one type of dry food, we raise the standard for all.

A Connected Responsibility and Shared Interests

The overlap between microbial food safety in human low-moisture foods and pet food is more than a coincidence—it’s a call for shared learning and investment. To reduce risk, manufacturers of both commodities must:

  • Recognize the shared science that underpins safety
  • Invest in preventative controls and environmental monitoring to keep all products safe for the end user- human or pet
  • Continue innovating in science and technology, like dry sanitation or other mitigation techniques to prevent contamination.

Ultimately, food safety does not stop at the dinner plate. It extends to the pet bowl, treat jar and the surfaces where food for every member of the household is prepared and consumed.

The kitchen and the kibble bag are more connected than we think. By treating them as part of the same food safety continuum, we can better protect the health of both people and our pets.

Photo credit and copyright: Beth Biros

Editors Note: One of the authors, Caitlin Karolenko, PhD will be presenting at the 2025 Food Safety Consortium in the session titled: Dry Doesn’t Mean Safe: Pathogens in Low Moisture Foods. For more information go to FoodSafetyConsortium.org and click on Agenda.

 

Listeria
Ask The Expert

Communications – The “Choice to Chase” Listeria

Listeria

The “choice to chase” Listeria should not and cannot be made lightly. This is not a task to be given solely to the Food Safety & Quality Assurance (FSQA) department. Senior management across the organization needs to understand what this means, be educated on the actions and consequences, share the risk, and share the accolades. In a very real sense, all of this relates to the food safety culture of the company and its business success. Dr. Lone Jespersen addresses these factors in her paper on economic gain and a mature food safety culture.

No company is going to say publicly they would not make a choice to chase. It’s unethical, and bad business practice. However, it’s their actions which are telling. How they chase is what matters. The hierarchy of the chase:

  1. Close your eyes and hope nothing happens.
  2. Put the FSQA organization on the front line to handle any audits and inspections which relate to the microbiological cleanliness of the plant. They are on their own.
  3. Form a FSQA + Sanitation Team that is charged with plant cleanliness. They are on their own.
  4. Provide the FSQA + Sanitation Team whatever it needs to assess Listeria risks in the plant–people, equipment, training, and budget.
  5. Expand the “choice to chase” team to include the HACCP team, and representatives from senior management.
  6. Charge the team with finding Listeria species wherever they may be, and communicating those results to management.
  7. Charge the team with finding Listeria monocytogenes (Lm) wherever it may be, getting DNA results for Lm, and comparing those results with the CDC’s database, PulseNet.

The challenge (and opportunity) with the latter two approaches is that the company will end up with data demonstrating that Listeria exists in the plant. If Listeria is in the plant, it could get in the food. Hence, many senior managers do not want to know these kinds of results, and they enable an organizational culture that does the same. See point #1, above.

Looking for Lm and finding it in non-product zones can be truly enlightening and empowering. Confirming that its DNA is not in the CDC database can be comforting–no one else has found “your” Listeria in their plants or in listeriosis cases. This gives you the freedom to contain your own problem.

In all cases except #1 above, sanitation and microbiological results must be shared properly with senior management. This requires ongoing education, and a competent team that can address contamination (this requires senior management to hire the right people). Why is this important? Of course it’s to make sure everyone is on the same proverbial page regarding the data. But far more importantly, it’s to raise everyone’s awareness of food safety risk to the company’s products.

Sharing data, sharing ideas to solve contamination problems, and sharing effectiveness of corrective actions serve the purpose of sharing the risk across the company, i.e., the senior management team. Said another way, senior management needs to be aware of all the data, at all times.

If leadership listens and provides resources (and stops shipping product when appropriate), then the FSQA team is well supported and can feel empowered to work even harder to make the choice to chase Listeria. This is the kind of culture and support which matters most to making sure Listeria is managed well. It is also the kind of environment FSQA professionals can be proud of, knowing they are making a very positive impact on public health.

This is the 6th in a series of 6 Listeria in Food Plants articles. See the Related Articles below to read the series.

To sign up for a free subscription to Food Safety Tech’s weekly Newsletter, click here

Connected Factory, manufacturing

Predictive, Preventive, Powerful: The Future of Data-Driven Food Safety

By Wiggs Civitillo
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Connected Factory, manufacturing

Food safety is at an inflection point. Regulations are shifting, deadlines are moving, and technology is advancing faster than most organizations can keep up. The FDA’s FSMA 204 Traceability Rule is a clear signal: data is now central to compliance, consumer trust, and competitive resilience. But here’s the hard truth — extending compliance dates doesn’t extend the shelf life of risk. Outbreaks won’t wait until 2028. Consumer expectations won’t wait either.

The challenge before us is simple but daunting: can the food industry shift from a reactive mindset — responding after the fact — to a predictive and preventive one, powered by data?

From Reactive to Predictive

For decades, food safety has been a compliance exercise. Check the box, pass the audit, and move on. That model doesn’t work anymore. The industry has too much complexity, too many blind spots, and too much at stake.

The next era of food safety will be defined by predictive tools — artificial intelligence, machine learning, anomaly detection, and real-time visibility platforms that allow us to see risk before it becomes crisis. Imagine spotting a deviation in cold chain patterns before it leads to spoilage, or detecting unusual movement in supply chains that hints at fraud. These tools exist today, but they can only succeed if the data feeding them is complete, consistent, and trusted.

What’s Holding Us Back

So why aren’t we there yet? The barrier isn’t the lack of technology. The tools exist. The real problem is data fragmentation and trust.

  • Fragmentation: Every player in the food chain speaks a slightly different “data language.” A grower might record harvest time in one format, while a processor logs it differently, and a retailer doesn’t capture it at all. Even when companies are technically compliant, the data sets don’t align. What should be a continuous record ends up a patchwork that’s hard to stitch together in real time.
  • Manual Workarounds: In too many cases, people are still rekeying data from one system into another, or relying on email, PDFs, or even phone calls to close gaps. These workarounds introduce errors and slow response times. In a recall, hours matter — and a manual process can be the difference between containment and escalation.
  • Trust & Control: Many companies hesitate to share data because they fear it will be used against them — to negotiate harder, cut margins, or reveal competitive strategies. This lack of trust creates bottlenecks. Without a neutral space, every data exchange feels like a negotiation rather than a collaboration.
  • Short-Term Compliance Thinking: Too often, data-sharing investments are framed only in terms of passing an audit or meeting FSMA 204 requirements. That keeps the focus narrow: “What’s the minimum we need to do?” rather than, “How do we build a system that gives us real-time visibility, predictive insight, and long-term resilience?”

The result is that AI and machine learning don’t have clean, connected data to work with. Instead of unlocking predictive power, they reinforce the fragmentation — analyzing partial views that miss the bigger picture. In other words, bad or siloed data doesn’t just limit progress; it actively undermines the promise of next-gen tools.

What Needs to Change

If we want predictive, preventive, and truly powerful food safety systems, we need to rethink how we share data. That means moving from a “winner take all” mentality to an ecosystem mindset — where data isn’t a competitive advantage but a shared asset.

The key isn’t ripping and replacing existing systems. The food industry has invested heavily in ERP, WMS, quality, and compliance platforms — and those systems aren’t going anywhere. What we need is a neutral connectivity layer: a translator that lets each system keep doing what it does best, while still moving data securely and consistently across trading partners.

Neutrality matters. If one player owns the data exchange, others will always hesitate. But when no one company controls the pipes, collaboration becomes possible. That’s when we can unleash the full potential of AI, machine learning, and real-time analytics — because the data finally flows freely.

With connected, high-quality data, predictive models can detect anomalies earlier. Preventive actions become possible before outbreaks spread. And companies can move beyond compliance to true resilience — strengthening trust with consumers and trading partners alike.

The Call to Leadership

This isn’t about compliance dates or government mandates. It’s about leadership. The companies that lean into collaboration, prioritize interoperability, and invest in data quality will define the future of food safety. They will turn regulation into trust, compliance into resilience, and risk into competitive advantage.

The future of food safety is predictive. It’s preventive. It’s powerful. But only if we decide, as an industry, to break down silos and build systems that can truly talk to each other.

We don’t have 30 months to wait. The opportunity — and the responsibility — is right in front of us.

Listeria
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How to Get Rid of Listeria in your Food Facility

By Bob Lijana
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Listeria

Keeping the pathogen out of the plant is essentially what sanitarians preach. Sanitarians focus on minimizing the use of sanitizing chemicals. This strategy reduces costs and exposure to toxic chemicals, and by definition focuses attention on control strategies. These include identifying and studying hygienic zones, personnel hygiene, traffic patterns in the plant, and the array of sanitation steps taken over all shifts. An article by Dr. Bob Powitz describes this approach.

Eradicating Listeria when it is found is usually the result of a find it and kill it approach–often called “seek out and destroy”, an aphorism coined over a decade ago by  Dr. John Butts. The principles and techniques outlined in these mini-articles are very much aligned with this kind of approach. They are also the ones employed by most food companies in their management of Listeria risk. And that is mainly because Listeria can still find a way into a plant, in spite of best efforts to the contrary.

It is beyond the scope of this mini-article to go into all of the different chemicals that can be used to attack Listeria. Common chemicals include peroxyacetic acid, often used in plants for which an organic sanitizer must be used. Chlorine dioxide gas is used when companies want to introduce a sanitizing chemical across the entire plant, essentially as a “fumigation” technique. This can be useful since the gas can reach areas in which liquid sanitization techniques are ineffective.

The most common chemicals used against Listeria are the “quats”, mixtures of quaternary ammonium compounds. Not only are these compounds effective sanitizers, but it is generally believed that quats have a substantive property which allows them to remain on surfaces for a time. Thus they can have an ongoing effect against Listeria.

Highly experienced food plant chemical companies are well versed in sanitation chemicals and procedures. They are the best source for determining which chemicals are the most effective for your situation, at what concentrations (e.g., to achieve a no-rinse level on equipment), and with best-practice standard sanitation procedures. Highly reputable chemical companies understand sanitation, sanitization, and disinfection–and they can teach these concepts, and solve contamination issues.

FDA (“draft guidance for industry”) and USDA (“compliance guideline”) provide guidance on what corrective actions (e.g., sanitization) are required when Listeria is found. Regardless of which actions are decided upon, their effectiveness must be verified and validated. This requires well thought out statistical sampling and risk assessment, and continued testing.

Constant vigilance is very important. Use checklists that are centered on GMPs (Good Manufacturing Practices) as a start, using these to ensure that areas are sampled appropriately. But make sure that you are not solely relying on checklists (see this article on checklists that can be traps). Too often, companies find Listeria, throw some sanitizer on the area in question, sample, get a negative (the pathogen is no longer found in that location)–and then move on, convinced that they have solved the problem.

This is rarely the real outcome unless you have determined definitively that the root source has been eliminated. In addition, you have to be convinced that the transfer points around the root source are no longer in play. They have to be eliminated or highly controlled.

Said another way, you are rarely done. As frustrating as this might seem, constant microbiological vigilance is what keeps your products safe. Not doing so can end up being very costly to the company in insurance costs, recall costs, and legal costs, and in brand image to customers and consumers. All are avoidable.

It is much better to maintain and improve your environmental monitoring programs to constantly protect public health. So keep sampling and testing!

This is the 5th in a series of 6 Listeria in Food Plants articles. See the Related Articles below to read the series.

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Traceability Unwrapped: How Packaging Protects Every Bite

By Emily Newton
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Food traceability captures key data by following a product’s journey through every production stage, processing and distribution. It safeguards public health by enabling rapid identification and removal of contaminated goods, upholds quality through continuous monitoring, and ensures compliance with stringent industry regulations.

At the center of this system is packaging, which is the physical container and the digital gateway for traceability information. From printed barcodes to embedded smart labels, it carries the data that links each item to its origin, safety record and handling history. For food manufacturers, this makes packaging essential for transparency and safety.

The Intersection of Packaging and Traceability

Packaging is the food supply chain’s first and most persistent touch point, accompanying a product from when it leaves the production line until it reaches the consumer’s hands. A well-designed label protects and presents the product and is pivotal in this process. It reduces the information gap between producer and consumer by making key data accessible and easily understood.

When packaging design is aligned with tracking systems — whether through barcodes or digital watermarks — vital information flows seamlessly across every stage of the supply chain. Formats such as tamper-evident seals, smart labels with embedded chips and multi-layer labels for multilingual compliance enable better tracking and transparency.

Technologies Driving Food Traceability

Barcodes and quick-response (QR) codes remain the most accessible tools for traceability. They offer quick scanning for internal inventory control and consumer-facing transparency. Radio frequency identification (RFID) and near-field communication (NFC) tags enable real-time tracking and seamless data transfer across the supply chain. In fact, 93% of U.S. retailers have already adopted RFID technology to improve inventory management.

Blockchain integration adds another layer of security by creating immutable records that verify product safety, authenticity and compliance. Meanwhile, digital watermarks provide invisible yet scannable identifiers embedded directly into packaging, which offers discreet but powerful traceability without altering the visual design.

Ensuring Food Safety Through Packaging

Food traceability is a frontline defense in safety that enables manufacturers to identify and remove affected products before they reach consumers. Accurate tracking reduces the risk of foodborne illnesses and large-scale recalls, while building trust by showing customers that safety is a top priority. Traceable packaging can also stop unsafe products — like batches with allergen contamination or temperature breaches — from ever hitting store shelves.

This rapid response protects public health and minimizes financial losses and reputational damage. Beyond immediate safety benefits, robust systems help brands comply with global food safety regulations and demonstrate compliance, reinforcing credibility and market access.

Protecting Brand Reputation and Consumer Confidence

Transparent packaging information gives buyers and regulators a clear window into a product’s journey, from sourcing and production to quality checks and delivery. By openly sharing details, brands position themselves as honest and accountable, which can be a decisive factor in earning long-term loyalty.

Research shows that packaging has an average of seven seconds to make a favorable impression before a customer moves on to the next option. Clear and credible cues — like QR codes linking to origin stories or sustainability data — can turn that fleeting moment into a lasting connection.

Brands highlighting these details in marketing campaigns can transform food traceability from a compliance necessity into a positive public relations tool. It reinforces their commitment to safety, ethics and quality. Educating consumers on reading and using this information further strengthens this edge, making packaging a competitive differentiator in crowded marketplaces.

Operational Benefits for Food Manufacturers

Traceable packaging allows food manufacturers to see exactly where products are, how they move and when they need replenishment. It creates a more streamlined approach to inventory and production control. This visibility allows operations to match output with demand, which reduces waste and avoids costly overproduction. It also enables more accurate demand forecasting, helping teams plan smarter and respond faster to market shifts.

Beyond internal efficiency, food traceability holds suppliers to higher standards by making every step of the supply chain transparent, from raw material sourcing to final delivery. With cleaner, more accurate data, manufacturers can meet compliance requirements and maintain consistency while building stronger trust with customers and partners.

Future Trends in Food Traceability

AI-powered defect detection allows manufacturers to spot issues quickly before products leave the facility. These systems can automatically identify packaged products during industrial inspections, flagging defects such as misprints, seal breaks or labeling errors using deep learning techniques. Predictive recall capabilities take it further, analyzing patterns to anticipate potential safety risks before they escalate.

Alongside these advancements, eco-friendly materials with built-in tracking technologies make traceability more sustainable. This innovation reduces environmental impact without sacrificing performance. Consumers also now enjoy greater access to product journey data through mobile apps, empowering them to scan packaging and instantly see sourcing details, safety records and sustainability credentials. These factors turn transparency into a tangible part of the customer experience.

Making Traceability a Strategic Asset

Food traceability safeguards product safety and streamlines operations across the supply chain. Proactively adopting traceable packaging is a long-term investment that strengthens compliance and builds lasting consumer trust. Manufacturers should audit their current systems and make strategic upgrades to stay ahead of regulations and market expectations.

Listeria
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How to Find Listeria in a Food Facility

By Bob Lijana
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Listeria

Before you go looking for Listeria, you need to make sure that senior management across all functions is supportive of this task–especially when Listeria is found. Will someone (or some function such as QA) get blamed? Will enough resources be given? Will outward communications (e.g., to customers or FDA) be actively managed?

Or is the collective opinion “we do not need to know, because Listeria is surely not here”?

Most food companies make the correct strategic and ethical decision to test for Listeria. To that end, they typically test for the genus of Listeria species (L. spp.), and not specifically for Listeria monocytogenes (Lm). Thus, they do not end up with confirmation that Lm is present and therefore do not butt up against a regulatory zero-tolerance policy. But they get a strong indication that conditions are favorable to Listeria growth, so they can choose to assume that Lm is present and act accordingly. If corrective actions are taken to eliminate all Listeria, then one can justify that if Lm were present, it would be eradicated by these corrective actions.

Some companies test for a “marker organism” such as Listeria innocua. The thinking is the same as that above. This includes making the assumption that if Listeria innocua is found, then Lm may indeed also be present.

If your company has decided to look for Listeria, how do you go about doing so? The overall objective is to establish, validate, and execute an “environmental monitoring program” (EMP). Good starting points are the “Environmental Monitoring Handbook” published by 3M and Cornell University and a publication by the Institute of Food Technologists, “Design Elements of Listeria Environmental Monitoring Programs in Food Processing Facilities.” For seafood, the National Fisheries Institute has a publication on ready to eat seafood pathogen control.

Key to an effective EMP is sampling. Sampling is complicated to plan since the choices affect time and money. How many samples, where, and what are you sampling for (e.g., Lm, Listeria innocua, or L. spp.) ? These choices affect costs and how soon, or not, microbiological results are received. Random sampling never carries the day. Rather, sampling needs to be strategic—based on sound statistical principles, science, and  your own assessment of what might really be going on.

Building a useful EMP is hard work, and requires a lot of patience and a lot of data. Listeria does not sit still–plant conditions change all the time. Hence, a positive sample today does not guarantee that there will be a positive sample tomorrow (especially when microbiology results take days to obtain). A good EMP finds growth niches and transfer points, and helps determine the overall risk for nearby food becoming contaminated.

In addition, actual as-made equipment design is incredibly important. Equipment not made hygienically, or that has been changed over time (“to make it work better”), may end up being a root-source of Lm. A good review of proper hygienic design can be found in “Food Safety Equipment Design Principles” by the Foundation for Meat & Poultry Research & Education.

Here are some effective approaches used in the food industry:

  1. Bring in an expert third-party consultant or company to do the work for you.
  2. Utilize the services of a certified and vetted microbiology lab, and partner with them.
  3. Purchase best-practice software which models an EMP, and directs sampling for you.
  4. Review the FDA and USDA guidance documents for direction–and then speak with your local regulators. (Yes, this is not without some risk.)
  5. Conduct multiple “swab-a-thons” in your plant, sampling anywhere and everywhere to gather microbiological data. As mentioned above, it can be notoriously difficult to establish patterns of harborage and movement–but having hundreds of data points can at least give you a snapshot for the microbiological cleanliness of the plant. Note that this is time-consuming and costly, but could pay dividends if this is one of your only options.
  6. Study, study, study. Map and analyze traffic patterns in the plant, evaluate water use and water flows (e.g., to and from drains), sample equipment around product zones, look at data from pre-operational activities, look at past microbiological sampling data, and talk with the sanitation team about what they see.

Note that it is generally not recommended to sample actual product given the regulatory consequences if Lm is found!

Regardless of the tactics chosen, Lm is typically hard to find in a “clean” plant. And determining where it comes from (i.e., the root source) is even harder. Microbial testing is still the best way to do this. Techniques such as ATP testing, total plate count or Enterobacter testing, and PCR-assay Listeria test kits can help guide you. But those results are only as good as the level of technical thinking that is brought to the them. One must truly evaluate where Listeria growth niches might be, regardless of how easy or hard it is to access those locations.

See the Related Articles below to read the series.

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