Microsoft: IoT, Remote Sensing and the New Paradigm: Current and Future Impact with Barney Debman, Microsoft
Fumigation Service and Supply: Service Innovation & Transformation; Dynamic Monitoring with Krista Ankrom, Bayer US Crop Science; Guest appearance by Grant Welton PepsiCo
Technology’s Impact on In-house Managed Service and Contracted Services with John Moore, Fumigation Service and Supply
Provider Tech Talks from Bayer Digital Pest Management and Insects Limited
The event begins at 12 pm ET. Haven’t registered? Follow this link to the 2020 Food Safety Consortium Virtual Conference Series, which provides access to 14 episodes of critical industry insights from leading subject matter experts! We look forward to your joining us virtually.
To say that COVID-19 has been disruptive would be putting it mildly. The pandemic’s sudden and seismic impact has brought major upheaval across industries—the food industry and its supply chain included.
There was the initial panic buying that drove upticks in consumer demand for which few manufacturers and grocers were prepared, resulting in widespread product shortages. With restaurants closed, distributors and suppliers were left with considerable excess inventory—most of which ended up as waste and losses. Inside production sites and plants, many had to try and maintain their output with a reduced workforce, even as demand continued to climb. Meanwhile, some plants unfortunately have had to shut down operations on account of employees testing positive for COVID-19.
In the time since the outbreak, the food supply chain has stabilized to an extent. Store shelves are continuously being replenished with products. Restaurants have started reopening with new health and safety measures. Yet even as the industry takes gradual steps toward recovery, the underlying problem that led to the magnitude of COVID-19’s impact persists: Lack of visibility. There was lack of visibility into supply and demand and what was happening upstream and downstream across the supply chain, which prevented timely, proactive action to optimize operations in face of disruption.
Looking ahead, participants across the food supply chain will need enhanced end-to-end visibility so that they can work together to get ahead of the curve. As part of gaining this visibility, they will need the transparent exchange of information and cohesive collaboration to adapt especially as the food industry continues to see shifts in consumer behavior and the marketplace in the wake of COVID-19—particularly in the following three key areas.
Food Distribution
While food producers have been working tirelessly to keep grocery store shelves and restaurant kitchens well stocked, there continues to be fluctuating availability on certain products, such as eggs, dairy, poultry and meat. This has led distributors and suppliers to increase their prices when selling these goods to stores and restaurants, who have had to then pass the additional costs on to consumers through their own price increases and surcharges, respectively. One report from CoBank, a cooperative bank part of the Farm Credit System, notes there could be as much as a 20% increase in the price of pork and beef this year due to supply issues.1 Many grocers have also implemented purchase limitations on consumers to combat shortages.
These downstream implications stem largely to uncertainty in the supply chain, with stores and restaurants unsure about available supply upstream and when they can expect to receive shipments. But if there was clearer visibility and transparency between production, distribution, transportation, food service and retail, then all parties could better anticipate and plan for supply shortages or delays. For instance, if a meat processing plant has to temporarily close due to cases of COVID-19, they can immediately communicate to the rest of the supply chain so that parties downstream can readily find alternative sources and minimize any necessary price inflations or other implications to consumers.
Consumer Demand
Even with the reopening of restaurants, people will likely choose to cook more of their meals at home. It was a trend that began with restaurant closures and will continue for the foreseeable future as consumers remain cautious of dining out. While this may bring tough times ahead for the food service industry, the grocery sector is seeing a huge lift in business. Research from restaurant management platform Crunchtime shows that, towards the end of June, restaurants were only seeing 64.5% of their pre-COVID-19 sales levels.2 At the same time, a study by Brick Meets Click and Mercatus reveals U.S. online grocery sales reached a record $7.2 billion in June, up nearly 10% over May.3
For food companies and brands, growth in the grocery sector has presented a challenge in the way of demand planning and forecasting. I’ve personally spoken with several company executives who have seen significant upticks in orders from their grocery channel partners—an increase for which they didn’t forecast—and are now struggling to adjust production levels accordingly to avoid the risk of excess production that would lead to unnecessary costs, wastes and losses. In such instances, real-time visibility into transactional activity and stock levels at the retail level would help production planners improve the accuracy of their forecasts and enable them to think steps ahead before orders come in and thereby optimally balance supply with demand. Stores would remain well stocked and the supply chain could flow in a more efficient and profitable way for all participants.
Food Handling
Without question, public health is the number one priority right now. Participants at each point in the food supply chain today need to communicate with each other, as well as to consumers, that they’re following best practices for social distancing, disinfecting and other precautions. It’s not to prevent the possible transfer of the virus via actual products, as the FDA notes there is currently no evidence of transmission through food or packaging. But rather, it’s to build greater confidence in the food supply chain—that everyone is doing their part to support individual and collective health and safety, which in turn prevents possible facility closures or other case-related bottlenecks that would inhibit consistent supply to the market.
There also has to be confidence that, amid these countermeasures for COVID-19, companies are still upholding their commitments to food safety, integrity and proper handling. What can support that confidence is data—shared data from every point in a product’s journey from source to shelf. The data should be transparent and available to all supply chain participants as well as immutable so that it is tamperproof and fully traceable should there be any problem, such as mislabeling or a foodborne illness. The data ultimately holds everyone accountable for their role in ensuring a safe food supply chain.
To achieve the level of visibility outlined above, the food industry will have to break away from legacy processes involving the siloed management of operational systems and databases. Instead, the disruption seen during COVID-19 and ongoing shifts in the marketplace should encourage companies to consider digital transformation and technologies that can enable a more cohesive and nimble food supply chain. These are technologies like blockchain, which provides a decentralized, distributed ledger to publish and share data in real time. Moreover, artificial intelligence that can leverage incoming real-time data to guide next-best actions, even when the unexpected occurs. Personally, I always return to the notion that the supply chain is a team sport. You need visibility to know what each team member is doing on the field and how to align everyone on a gameplay. The digital solutions available today offer that visibility and insight, as well as the agility to pivot as needed to obstacles along the journey from source to shelf.
Recent food scandals around the world have generated strong public concerns about the safety of the foods being consumed. Severe threats to food safety exist at all stages of the supply chain in the form of physical, chemical and biological contaminants. The current pandemic has escalated the public’s concern about cross contamination between people and food products and packaging. To eliminate food risks, manufacturers need robust technologies that allow for reliable monitoring of key contaminants, while also facilitating compliance with the ISO 17025 standard to prove the technical competence of food testing laboratories.
Without effective data and process management, manufacturers risk erroneous information, compromised product quality and regulatory noncompliance. In this article, we discuss how implementing a LIMS platform enables food manufacturers to meet regulatory requirements and ensure consumer confidence in their products.
Safeguarding Food Quality to Meet Industry Standards
Food testing laboratories are continually updated about foodborne illnesses making headlines. In addition to bacterial contamination in perishable foods and ingredient adulteration for economic gains, chemical contamination is also on the rise due to increased pesticide use. Whether it is Salmonella-contaminated peanut butter or undeclared horsemeat inside beef, each food-related scandal is a strong reminder of the importance of safeguarding food quality.
Food safety requires both preventive activities as well as food quality testing against set quality standards. Establishing standardized systems that address both food safety and quality makes it easier for manufacturers to comply with regulatory requirements, ultimately ensuring the food is safe for public consumption.
In response to food safety concerns, governing bodies have strengthened regulations. Food manufacturers are now required to ensure bacteria, drug residues and contaminant levels fall within published acceptable limits. In 2017, the ISO 17025 standard was updated to provide a risk-based approach, with an increased focus on information technology, such as the use of software systems and maintaining electronic records.
The FDA issued a notice that by February 2022, food testing, in certain circumstances, must be conducted in compliance with the ISO 17025 standard. This means that laboratories performing food safety testing will need to implement processes and systems to achieve and maintain compliance with the standard, confirming the competence, impartiality and consistent operation of the laboratory.
To meet the ISO 17025 standard, food testing laboratories will need a powerful LIMS platform that integrates into existing workflows and is built to drive and demonstrate compliance.
From Hazard Analysis to Record-Keeping: A Data-Led Approach
Incorporating LIMS into the entire workflow at a food manufacturing facility enables the standardization of processes across its laboratories. Laboratories can seamlessly integrate analytical and quality control workflows. Modern LIMS platforms provide out-of-the-box compliance options to set up food safety and quality control requirements as a preconfigured workflow.
The requirements set by the ISO 17025 standard build upon the critical points for food safety outlined in the Hazard Analysis and Critical Control Points (HACCP) methodology. HACCP, a risk-based safety management procedure, requires food manufacturers to identify, evaluate and address all risks associated with food safety.
LIMS can be used to visualize control points for HACCP analysis according to set limits. Graphic courtesy of Thermo Fisher Scientific.
The systematic HACCP approach involves seven core principles to control food safety hazards. Each of the following seven principles can be directly addressed using LIMS:
Principle 1. Conduct a hazard analysis: Using current and previous data, food safety risks are thoroughly assessed.
Principle 2. Determine the critical control points (CCPs): Each CCP can be entered into LIMS with contamination grades assigned.
Principle 3. Establish critical limits: Based on each CCP specification, analytical critical limits can be set in LIMS.
Principle 4. Establish monitoring procedures: By defining sampling schedules in LIMS and setting other parameters, such as frequency and data visualization, procedures can be closely monitored.
Principle 5. Establish corrective actions: LIMS identifies and reports incidents to drive corrective action. It also enables traceability of contamination and maintains audit trails to review the process.
Principle 6. Establish verification procedures: LIMS verifies procedures and preventive measures at the defined CCPs.
Principle 7. Establish record-keeping and documentation procedures: All data, processes, instrument reports and user details remain secured in LIMS. This information can never be lost or misplaced.
As food manufacturers enforce the safety standards set by HACCP, the process can generate thousands of data points per day. The collected data is only as useful as the system that manages it. Having LIMS manage the laboratory data automates the flow of quality data and simplifies product release.
How LIMS Enable Clear Compliance and Optimal Control
Modern LIMS platforms are built to comply with ISO 17025. Preconfigured processes include instrument and equipment calibration and maintenance management, traceability, record-keeping, validation and reporting, and enable laboratories to achieve compliance, standardize workflows and streamline data management.
The workflow-based functionality in LIMS allows researchers to map laboratory processes, automate decisions and actions based on set criteria, and reduce user intervention. LIMS validate protocols and maintain traceable data records with a clear audit history to remain compliant. Data workflows in LIMS preserve data integrity and provide records, according to the ALCOA+ principles. This framework ensures the data is Attributable, Legible, Contemporaneous, Original and Accurate (ALCOA) as well as complete, consistent and enduring. While the FDA created ALCOA+ for pharmaceutical drug manufacturers, these same principles can be applied to food manufacturers.
Environmental monitoring and quality control (QC) samples can be managed using LIMS and associated with the final product. To plan environmental monitoring, CCPs can be set up in the LIMS for specific locations, such as plants, rooms and laboratories, and the related samples can then be added to the test schedule. Each sample entering the LIMS is associated with the CCP test limits defined in the specification.
Near real-time data visualization and reporting tools can simplify hazard analysis. Managers can display information in different formats to monitor critical points in a process, flag unexpected or out-of-trend numbers, and immediately take corrective action to mitigate the error, meeting the requirements of Principles 4 and 5 of HACCP. LIMS dashboards can be optimized by product and facility to provide visibility into the complete process.
Rules that control sampling procedures are preconfigured in the LIMS along with specific testing rules based on the supplier. If a process is trending out of control, the system will notify laboratory personnel before the product fails specification. If required, incidents can be raised in the LIMS software to track the investigation of the issue while key performance indicators are used to track the overall laboratory performance.
Tasks that were once performed manually, such as maintaining staff training records or equipment calibration schedules, can now be managed directly in LIMS. Using LIMS, analysts can manage instrument maintenance down to its individual component parts. System alerts also ensure timely recalibration and regular servicing to maintain compliance without system downtime or unplanned interruptions. The system can prevent users from executing tests without the proper training records or if the instrument is due for calibration or maintenance work. Operators can approve and sign documents electronically, maintaining a permanent record, according to Principle 7 of HACCP.
LIMS allow seamless collaboration between teams spread across different locations. For instance, users from any facility or even internationally can securely use system dashboards and generate reports. When final testing is complete, Certificates of Analysis (CoAs) can be autogenerated with final results and showing that the product met specifications. All activities in the system are tracked and stored in the audit trail.
With features designed to address the HACCP principles and meet the ISO 17025 compliance requirements, modern LIMS enable manufacturers to optimize workflows and maintain traceability from individual batches of raw materials all the way through to the finished product.
Conclusion
To maintain the highest food quality and safeguard consumer health, laboratories need reliable data management systems. By complying with the ISO 17025 standard before the upcoming mandate by the FDA, food testing laboratories can ensure data integrity and effective process management. LIMS platforms provide laboratories with integrated workflows, automated procedures and electronic record-keeping, making the whole process more efficient and productive.
With even the slightest oversight, food manufacturers not only risk product recalls and lost revenue, but also losing the consumers’ trust. By upholding data integrity, LIMS play an important role in ensuring food safety and quality.
With significant clusters of COVID-19 infection among employees—16,000 cases and 86 deaths documented by the CDC through May 2020 — the food processing and distribution industry faces significant challenges in reopening their facilities and ramping up to full capacity. Technology for health and safety access governance and intelligence, along with guidelines from the CDC and OSHA, can help support food companies in the automation of certain compliance activities and a safe return-to-work strategy.
Designated part of the essential critical infrastructure by the federal government at the onset of the pandemic in the spring of 2020, the food supply chain needs active solutions to protect its workforce. But there’s more to this back-to-work transition. Workers need to feel safe and trust that new security, safety and compliance processes have their best interests in mind—transferring to an overall positive experience with their employer.
In the age of contagion, the food industry requires ways to communicate better with the workforce, identify and isolate areas of contagion and also deal with the lingering presence of potential bioterrorism, insider threat and cyber-attack. It’s a multi-faceted and complex workspace we’re reentering, one that takes coordination of technology, people and processes. Without it, food suppliers risk plant shutdowns and loss of business continuity.
Bioterrorism and insider threat remain an active part of the supply chain landscape. In fact, according to a June 2020 Wall Street Journal Pro Research Survey of cybersecurity executives at nearly 400 companies, 67% were concerned about malicious insiders. Remote workers and lax controls have exacerbated the situation and rising threats include malicious employees, accidental negligence, contractor or vendor misuse and account compromise.
The Landscape of Collaboration
The ongoing coordination between human resources (HR) and security is a collaborative effort that bolsters food defense in a COVID-19 world. Fueled by digital transformation, converged physical security and HR management solutions are wound together tightly in a coordinated and analytical approach to keep food industry employees safe and operations running smoothly.
These departments, once siloed and co-existing without direct interaction, are benefiting from software’s move to the cloud and open operating platforms, which provides increased opportunity for real-time integration of HR, security and facilities technologies. Moving to a converged approach across all departments, including HR, IT/cyber and operational technology (OT)/SCADA—can effectively secure our most critical food production and distribution resources while actively enforcing compliance and company policies, including COVID-19 mandates. In addition, physical security access governance, in a holistic manner, protects food industry workers and processes from compromised identities, systems and insider threats.
HR and physical security now have the ability to share data-insights to prevent, detect and mitigate the spread of contagions. With this convergence, organizations have the information they need to actively defend and protect the workforce, focusing on the human side of security to yield a positive experience.
The ongoing coordination between human resources and security is a collaborative effort that bolsters food defense in a COVID-19 world. Shutterstock image courtesy of AlertEnterprise.
Enabling a Safe and Healthy Return to Work
This time of unprecedented change has triggered a tectonic shift in the way organizations have been dealing with the health, security and safety of their workforce. Sensing a coming tsunami, HR, corporate real estate and physical security leaders are realizing that they must stop operating in silos and embrace a holistic approach. Enterprise response and recovery plans have become a major catalyst for converged security, as it has proven to be the most effective way to manage workspace access, enforce workforce security, safety and privacy.
Reopening with Technology at Your Back
Physical identity access management (PIAM) software, including visitor identity management (VIM) are convergence platforms that deliver identity and access governance, health and safety intelligence and compliance validation across the enterprise. PIAM provides a safer work environment by managing physical, logical and operational technology access for employees and visitors, actively enforcing company policies, compliance and industry regulations with built-in best practices and regulatory controls. Automated policy-driven background checks yield real-time vetting of visitors, contractors and employees while validating and identifying any policy violations. PIAM and VIM keeps facilities and workers safe, making sure the employees and visitors only have access to the areas, data and assets they need, including vital food processing areas where deliberate sabotage needs to be kept at bay.
While prevention of bioterrorism and insider threat is ongoing at food distribution, production and processing facilities there’s been a notable shift during the pandemic that focuses on the health and safety of workers. Security is no longer simply about keeping the bad guys out; it’s about safety and protecting workers from unsafe behavior.
Workforce health and safety access governance software solutions help organizations open safely in a frictionless, controlled and secure way by automating and enforcing COVID-19 related policies and procedures. Automated batch email/text notifications with self-service links send requests to the remote workforce for self-attestation and self-reporting offsite and enable access by the worker to the facility based on health, travel and other company policies.
Here’s how it works: An employee completes the self-reporting health and travel questionnaire through a mobile app, which triggers automated workflows based on those answers. These health questionnaires collect data and document employee activity during lockdown, including infection, symptoms or exposure. The employee’s self-attestation request comes to the manager for action, and based on answers the worker is considered high risk and per policy their access to the facility is revoked for 14 days while they are in quarantine. A similar self-attestation and workflow then applies to reinstatement for the employee. This reporting and workflow can be configured specifically to the facility. Enterprises can further customize their visitor identity management to provide clear communication of current policies during the outbreak, reinforcing WHO best practices.
Focus on Health and Safety
Health and safety access governance and intelligence provides prescreening support of workforce site entry with automated policy enforcements. Pre-registered and onsite visitors/contractors check-in/check-out with prescreening, watch list and other checks prior to access. In the production or distribution facility, health and safety analytics track confirmed or potentially exposed COVID-19 workers, identify exposed areas for lockdown and/or sanitization, social distancing violation, location heat map and other actionable health & safety analytics.
PIAM also allows you to automate your communications and deliver clear expectations and procedures to your workforce, visitors and contractors pre-visit and onsite—adding to a seamless experience.
Security convergence delivers a comprehensive, holistic solution across the entire food value chain, from sourcing to production to retail distribution. Human resources and physical security have teamed up—yielding real-time data that can prevent, detect and mitigate the spread of contagions. With this convergence comes greater situational awareness that defends and protects the workforce, with a strong focus on safety and building trust between worker and employer.
The COVID-19 crisis has exacerbated existing disconnects between food supply and demand. While some may be noticing these issues on a broader scale for the first time, the reality is that there have been challenges in our food supply chains for decades. A lack of accurate data and information sharing is the core of the problem and had greater impact due to the pandemic. Outdated technologies are preventing advancements and efficiencies, resulting in the paradox of mounting food insecurity and food waste.
To bridge this disconnect, the food industry needs to implement innovative AI and machine learning technologies to prevent shortages, overages and waste as COVID-19 subsides. Solutions that enable data sharing and collaboration are essential to build more resilient food supply chains for the future.
Data-sharing technologies that can help alleviate these problems have been under development for decades, but food supply chains have been slow to innovate compared to other industries. By reviewing the top four data-sharing technologies used in food industry and the year they were introduced to food supply chains, it’s evident that the pace of technology innovation and adoption needs to accelerate to advance the industry.
A History of Technology Adoption in the Food Industry
The Barcode – 19741
We’re all familiar with the barcode—that assemblage of lines translated into numbers and letters conveying information about a product. When a cashier scans a barcode, the correct price pops up on the POS, and the sale data is recorded for inventory management. Barcodes are inexpensive and easy to implement. However, they only provide basic information, such as a product’s name, type, and price. Also, while you can glean information from a barcode, you can’t change it or add information to it. In addition, barcodes only group products by category—as opposed to radio-frequency identification (RFID), which provides a different code for every single item.
EDI First Multi-Industry Standards – 19812
Electronic data interchange (EDI) is just what it sounds like—the concept of sharing information electronically instead of on paper. Since EDI standardizes documents and the way they’re transferred, communication between business partners along the supply chain is easier, more efficient, and human error is reduced. To share information via EDI, however, software is required. This software can be challenging for businesses to implement and requires IT expertise to handle updates and maintenance.
RFID in the Food Supply Chain – 20033
RFID and RFID tags are encoded with information that can be transmitted to a reader device via radio waves, allowing businesses to identify and track products and assets. The reader device translates the radio waves into usable data, which then lands in a database for tracking and analysis.
RFID tags hold a lot more data than barcodes—and data is accessible in remote locations and easily shared along the supply chain to boost transparency and trust. Unlike barcode scanners, which need a direct line of sight to a code, RFID readers can read multiple tags at once from any direction. Businesses can use RFID to track products from producer to supplier to retailer in real time.
In 2003, Walmart rolled out a pilot program requiring 100 of its suppliers to use RFID technology by 2005.3 However, the retail giant wasn’t able to scale up the program. While prices have dropped from 35–40 cents during Walmart’s pilot to just 5 cents each as of 2018, RFID tags are still more expensive than barcodes.4 They can also be harder to implement and configure. Since active tags have such a long reach, businesses also need to ensure that scammers can’t intercept sensitive data.
Blockchain – 20175
A blockchain is a digital ledger of blocks (records) used to record data across multiple transactions. Changes are recorded in real-time, making the history unfalsifiable and transparent. Along the food supply chain, users can tag food, materials, compliance certificates and more with a set of information that’s recorded on the blockchain. Partners can easily follow the item through the physical supply chain, and new information is recorded in real-time.
Blockchain is more secure and transparent, less vulnerable to fraud, and more scalable than technologies like RFID. When paired with embedded sensors and RFID tags, the tech offers easier record-keeping and better provenance tracking, so it can address and help solve traceability problems. Blockchain boosts trust by reducing food falsification and decreasing delays in the supply chain.6
On the negative side, the cost of transaction processing with blockchain is high. Not to mention, the technology is confusing to many, which hinders adoption. Finally, while more transparency is good news, there’s such a thing as too much transparency; there needs to be a balance, so competitors don’t have too much access to sensitive data.
Cloud-Based Demand Forecasting – 2019 to present7
Cloud-based demand forecasting uses machine learning and AI to predict demand for various products at different points in the food supply chain. This technology leverages other technologies on this list to enhance communication across supply chain partners and improve the accuracy of demand forecasting, resulting in less waste and more profit for the food industry. It enables huge volumes of data to be used to predict demand, including past buying patterns, market changes, weather, events and holidays, social media input and more to create a more accurate picture of demand.
The alternative to cloud-based demand forecasting that is still in use today involves Excel or manual spreadsheets and lots of number crunching, which are time-intensive and prone to human error. This manual approach is not a sustainable process, but AI, machine learning and automation can step in to resolve these issues.
Obtaining real-time insights from a centralized, accurate and accessible data source enables food suppliers, brokers, distributors, brands and retailers to share information and be nimble, improving their ability to adjust supply in response to factors influencing demand.8 This, in turn, reduces cost, time and food waste, since brands can accurately predict how much to produce down to the individual SKU level, where to send it and even what factors might impact it along the way.
Speeding Up Adoption
As illustrated in Figure 1, the pace of technology change in the food industry has been slow compared to other industries, such as music and telecommunications. But we now have the tools, the data and the brainpower to create more resilient food supply chains.
Figure 1. The pace of technology change in the food industry has been slow compared to other industries. Figure courtesy of Crisp.
Given the inherent connectivity of partners in the food supply chain, we now need to work together to connect information systems in ways that give us the insights needed to deliver exactly the rights foods to the right places, at the right time. This will not only improve consumer satisfaction but will also protect revenue and margins up and down food supply chains and reduce global waste.
Today FDA released the New Era of Smarter Food Safety Blueprint. The much-anticipated document was originally scheduled for release in March but was delayed due to the agency’s response to COVID-19. Although the agency’s plan places a lot of focus on the use of new technology, FDA Commissioner Stephen Hahn, M.D., stressed that it is also about enabling more effective methods and processes.
Tech-Enabled Traceability. A lesson learned during the coronavirus pandemic was that there is a need for greater traceability and visibility in the supply chain. “One of the challenges we’ve faced over the years is recurring outbreaks of illnesses associated with the consumption of certain foods,” said Hahn. “What this daunting problem underscores is the critical importance of the FDA working with industry so that we can rapidly trace a contaminated food to its source. And when I say rapidly, I mean minutes, not days, weeks, or even longer.
Smarter Tools and Approaches for Prevention and Outbreak Response. Here, the FDA is emphasizing the “power of data”. “The plans embraced by the blueprint include strengthening our procedures and protocols for conducting the root cause analyses that can identify how a food became contaminated and inform our understanding of how to help prevent that from happening again,” said Hahn.
New Business Models and Retail Modernization. This element address food production and delivery, as well as food safety in restaurants and the retail setting.
Food Safety Culture. “The pandemic has given us a new perspective on what we mean by food safety culture,” said Hahn. He stated that beyond influencing human behavior, food safety culture must also address worker safety and consumer education.
In just 30 years, worldwide food production will need to nearly double to feed the projected population of 9 billion people. Challenges to achieving food security for the future include increasing pressures of global warming and shifting climatic belts, a lack of viable agricultural land, and the substantial burdens on freshwater resources. With the United Nations reporting nearly one billion people facing food insecurity today, our work must begin now.
A key research area to meet this crisis is in developing crops resilient enough to grow in a depleting environment. That’s why we need to search for ways to improve crop resilience, boost plant stress resistance and combat emerging diseases. Researchers around the world, including many of my colleagues at Saudi Arabia-based King Abdullah University of Science and Technology (KAUST), are exploring latest genome editing technologies to develop enough nutritious, high-quality food to feed the world’s growing population.1
Where We’ve Been, and Where We Need to Go
Farmers have been genetically selecting crop plants for thousands of years, choosing superior-looking plants (based on their appearance or phenotype) for breeding. From the early 20th century, following breakthroughs in understanding of genetic inheritance, plant breeders have deliberately cross-bred crop cultivars to make improvements. In fact, it was only a few decades ago that Dr. Norman Borlaug’s development of dwarf wheat saved a billion lives from starvation.
However, this phenotypic selection is time-consuming and often expensive—obstacles that today’s global environment and economy don’t have the luxury of withstanding.
Because phenotypic selection relies on traits that are already present within the crop’s genome, it misses the opportunity to introduce resilient features that may not be native to the plant. Features like salt tolerance for saltwater irrigation or disease resistance to protect against infections could yield far larger harvests to feed more people. This is why we need to explore genome editing methods like CRISPR, made popular in fighting human diseases, to understand its uses for agriculture.
What Our Research Shows
We can break down these issues into the specific challenges crops face. For instance, salt stress can have a huge impact on plant performance, ultimately affecting overall crop yields. An excess of salt can impede water uptake, reduce nutrient absorption and result in cellular imbalances in plant tissues. Plants have a systemic response to salt stress ranging from sensing and signaling to metabolic regulation. However, these responses differ widely within and between species, and so pinpointing associated genes and alleles is incredibly complex.2
Researchers must also disentangle other factors influencing genetic traits, such as local climate and different cultivation practices.
Genome-wide association studies, commonly used to scan genomes for genetic variants associated with specific traits, will help to determine the genes and mutations responsible for individual plant responses.3 Additionally, technology like drone-mounted cameras could capture and scan large areas of plants to measure their characteristics, reducing the time that manual phenotyping requires. All of these steps can help us systematically increase crops’ resilience to salt.
Real-world Examples
“Quinoa was the staple ‘Mother Grain’ that fueled the ancient Andean civilizations, but the crop was marginalized when the Spanish arrived in South America and has only recently been revived as a new crop of global interest,” says Mark Tester, a professor of plant science at KAUST and a colleague of mine at the Center for Desert Agriculture (CDA). “This means quinoa has never been fully domesticated or bred to its full potential even though it provides a more balanced source of nutrients for humans than cereals.”
In order to further understand how quinoa grows, matures and produces seeds, the KAUST team combined several methods, including cutting-edge sequencing technologies and genetic mapping, to piece together full chromosomes of C. quinoa. The resulting genome is the highest-quality quinoa sequence to date, and it is producing information about the plant’s traits and growth mechanisms.4,5
The accumulation of certain compounds in quinoa produces naturally bitter-tasting seeds. By pinpointing and inhibiting the genes that control the production of these compounds, we could produce a sweeter and more desirable crop to feed the world.
And so, complexity of science in food security increases when we consider that different threats affect different parts of the world. Another example is Striga, a parasitic purple witchweed, which threatens food security across sub-Saharan Africa due to its invasive spread. Scientists, including my team, are focused on expanding methods to protect the production of pearl millet, an essential food crop in Africa and India, through hormone-based strategies for cleansing soils infested with Striga.6
Magdy Mahfouz, an associate professor of bioengineering at KAUST and another CDA colleague, is looking to accelerate and expand the scope of next-generation plant genome engineering, with a specific focus on crops and plant responses to abiotic stresses. His team recently developed a CRISPR platform that allows them to efficiently engineer traits of agricultural value across diverse crop species. Their primary goal is to breed crops that perform well under climate-related stresses.
“We also want to unlock the potential of wild plants, and we are working on CRISPR-guided domestication of wild plants that are tolerant of hostile environments, including arid regions and saline soils,” says Mahfouz.
As climate change and population growth drastically alters our approach to farming, no singular tool may meet the urgent need of feeding the world on its own. By employing a variety of scientific and agricultural approaches, we can make our crops more resilient, their cultivation more efficient, and their yield more plentiful for stomachs in need worldwide. Just as technology guided Dr. Bourlag to feed an entire population, technology will be the key to a food secure 21st century.
References
Zaidi, SS. et al. (2019). New plant breeding technologies for food security. Science. 363:1390-91.
Morton, M. et al. (2018). Salt stress under the scalpel – dissecting the genetics of salt tolerance. Plant J. 2018;97:148-63.
Al-Tamimi, N. et al. (2016). Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping. Nature Communicat. 7:13342.
Jarvis, D.E., et.al. (2017). The genome of Chenopodium quinoa. Nature. 542:307-12.
Saade. S., et. al. (2016). Yield-related salinity tolerance traits identified in a nested association mapping (NAM) population of wild barley. Sci Reports. 6:32586.
Kountche, B.A., et.al. (2019). Suicidal germination as a control strategy for Striga hermonthica (Benth.) in smallholder farms of sub‐Saharan Africa. Plants, People, Planet. 1: 107– 118. https://doi.org/10.1002/ppp3.32
Since the early 20th century, food safety has been a paramount concern for consumers in the United States. Upton Sinclair’s The Jungle, which painted a bleak, brutal, and downright disgusting picture of turn-of-the-century food processing facilities led to the creation of some of the country’s first food safety laws. Today, federal agencies and statutes make up a comprehensive food safety system to ensure that the growth, distribution and consumption of foods are safe from start to finish.
While food safety has significantly improved in the century since Sinclair’s time, stories of major outbreaks of foodborne illnesses continue to pop up across the country. Over the past few years, a significant number of outbreaks as a result of pathogens have made the headlines. To mitigate the threat of public health crises and ensure food production and distribution is safe and secure, companies must rely on modern technology to trace the movement of food across the entire supply chain.
How Technology Is Changing the Food Industry
Technology is a powerful, innovative force that has changed the way even well established companies must do business in order to stay relevant. From easier access to nutritional information to digital solutions that make food manufacturing and distribution more efficient, greater consumer awareness driven by technology empowers consumers to make decisions that can greatly affect the food industry’s bottom line.
Technology-driven accountability is playing one outsized role in allowing consumers to make better choices about the foods they consume and purchase. Social media and smartphone apps connect consumers to a wealth of resources concerning the harmful effects of certain ingredients in their food, the source of products, and how particular items are made and produced. In 2015, for example, The Campbell Soup Company removed 13 ingredients from its traditional soup recipes as a result of a greater public demand to understand food sources. Neither food giants nor small producers should expect to remain immune from greater public scrutiny over food health and safety.
Nutritional research is also helping change the conversation around food, granting nutritionists and consumers alike greater access to food-related data. Through easily accessible scholarly journals, apps that provide real-time nutrition information, and meal tracking apps that help users log and understand what they’re eating, consumers can gain a better understanding of nutrition to make more informed choices about their daily food intake. Researchers can also use food-tracking apps to make discoveries about consumer behavior and foods that are eaten.
Technology is also being used to tackle food waste, one of the most pervasive problems facing the food industry. One-third of the total amount of food produced globally, amounting to nearly $1.2 trillion, goes to waste every year. Solving this pervasive crisis has become an industry imperative that is being tackled through a variety of innovative technologies to improve shelf-life, dynamically adjust pricing based on sell-by dates, and allow restaurants to automatically monitor their daily waste.
In the food manufacturing sector, digitally-connected supply chain systems are providing greater visibility into the production of foods and beverages. Supplier management technology delivers data that can be used to optimize processes and improve quality in real-time, making it easy to adjust to consumer demands, respond to logistics challenges, and boost government compliance. The enhanced operational benefits offered through improved supply chain visibility allows manufacturers to produce products faster, safer, and with greater transparency.
Online ordering has also ushered in a new era of food industry behavior. The growing assortment of online ordering apps has just given the consumer more control over quickly ordering their next meal. The trend in online ordering has also allowed restaurants to experiment with new business models like virtual kitchens that offer menus that are only available online.
The IoT adds a layer of technology to the food manufacturing process. (All photos licensed through Adobe Stock)
IoT: The Future of Food Safety
From the farm to the carryout bag, the impact of technology on the greater food industry is already evident in daily practice. Through enhanced access to data, food producers can run an efficient supply chain that reduces waste, boosts productivity, and meets consumer demand in real-time. Using a variety of online resources, consumers are empowered to quickly make well-informed food purchases that are healthier, more convenient and more sustainable than ever before.
The Internet-of-Things (IoT) adds a layer of technology to the food manufacturing process to ensure greater food safety. A broad series of networked sensors, monitors, and other Internet-connected devices, IoT technology can oversee the entire food manufacturing and distribution process from the warehouse to the point of sale. Boosting transparency across the board, intelligent sensors and cameras can transform any food manufacturing operation into a highly visible, data-backed process that allows for better decision-making and improved real-time knowledge.
While IoT technology is a powerful tool that can improve the efficiency of restaurants and provide enhanced customer experiences, some of its greatest potential lies in its ability to safely monitor food preparation and production. Live data from IoT devices makes it possible to closely monitor food safety data points, allowing manufacturers and restaurants to reduce the risks of foodborne illness outbreaks through enhanced data collection and automated reporting.
Domino’s Pizza, for instance, embraced IoT technology to enhance management processes and monitor the food safety of its products. In the past, restaurants have relied on workers to record food temperatures, a practice that was occasionally overlooked and could lead to issues with health inspectors. Using IoT devices for real-time temperature monitoring, Domino’s automatically records and displays temperature levels of a store’s production, refrigeration, and exhaust systems, allowing employees to view conditions from a live dashboard.
In addition to boosting food safety, the comprehensive monitoring offered by IoT technology can help food companies reduce waste, keep more effective records, and analyze more data for improved operations.
IoT isn’t just a safe solution for improving food safety: It’s a smart solution.
Blockchain: The Future of Food Traceability
The ubiquity of QR codes has made it easy for consumers to quickly gain access to information by scanning an image with their smartphone. From accessing product manuals to downloading songs, QR codes make it simple to provide detailed and relevant content to users in a timely manner.
Blockchain enhances the safety of the business of food production itself.
Blockchain technology provides a powerful opportunity to provide consumers with similar information about food safety. Able to instantaneously trace the lifecycle of food products, blockchain can report a food’s every point of contact throughout its journey from farm to table. By scanning a QR code, for instance, users can quickly access relevant information about a food product’s source, such as an animal’s health, and welfare. Shoppers at Carrefour, Europe’s largest retailer, area already using blockchain traceability to track the stage of production of free-range chickens across France.
Walmart piloted a blockchain implementation by tracing a package of sliced mangoes across every destination until it hit store shelves, from its origin at a farm in Mexico to intermittent stops at a hot-water treatment plant, U.S processing plant, and cold storage facility. Real-time product tracing can be conducted in just two seconds, enabling Walmart and other vendors to provide consumers with access to food safety information that could easily be updated should an outbreak or contamination occur.
Blockchain’s inherent transparency not only makes it possible to identify the safety of food production; it also enhances the safety of the business of food production itself. Because blockchain is based upon an immutable, anonymous ledger, record keeping and accounting can be made more secure and less prone to human error. Payments to farmers and other food suppliers can also become more transparent and equitable.
The High Tech Future of Food
Unlike the days of Sinclair’s The Jungle, food transparency is the name of today’s game. As consumers continue to demand greater access to better food on-demand, food producers must continue to find innovative ways of providing safe, healthy, and ethical solutions.
IoT devices and blockchain present food manufacturers with powerful technological solutions to solve complex problems. Brands choosing to rely on these innovations, such as Domino’s and Walmart, are helping ensure that food is produced, prepared and distributed with a foremost emphasis on health and safety. As these technologies continue to become more intelligent, well-connected, and embraced by leading food producers, consumers should rest assured that they’ll always be able to know exactly what they’re eating, where it’s from, and whether it’s safe.
Find records of fraud such as those discussed in this column and more in the Food Fraud Database. Image credit: Susanne Kuehne
Due to its health benefits, camel meat is gaining in popularity for consumers but unfortunately also for fraudsters for economic gain. Polymerase chain reaction (PCR) technologies allow quick and accurate detection of specific meat types, including processed and cooked meats. This newly developed PCR lateral flow immunology method found adulteration of camel meat with beef in 10% of the 20 samples that were investigated in this Chinese study.
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