Tag Archives: quality control

Data protection, security

The Digital Transformation of Global Food Security

By Katie Evans
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Data protection, security

Modern food supply chains are inherently complex, with products typically passing through multiple suppliers and distributors, as well as countries and continents, before they end up on the supermarket shelf. While global supply chains offer consumers greater choice and convenience, they also make protecting the security of food products more challenging. With additional stakeholders between farm and fork, products are exposed to an elevated risk of biological or chemical contamination, as well as food counterfeiting and adulteration challenges—potentially putting consumer health and brand reputation in jeopardy.

Given the importance of maintaining the safety, quality and provenance of food products, global regulatory bodies are placing the integrity of supply chains under increased scrutiny. In the United States, for example, the adoption of FSMA moved the focus from responding to foodborne illnesses to preventing them by prioritizing comprehensive food testing measures, enforcing inspections and checks, and enabling authorities to react appropriately to safety issues through fines, recalls or permit suspensions.1 Similarly, China’s revised Food Safety Law (known as FSL 2015) is widely considered to be the strictest in the country’s history, and seeks to drive up quality standards by empowering regulators, and enhancing traceability and accountability through robust record-keeping. 2 The European Union continues to closely regulate and monitor food safety through its General Food Law, which is independently overseen by the European Food Safety Authority from a scientific perspective.

Achieving the Highest Standards of Food Security, Integrity and Traceability

For producers, manufacturers and distributors, the heightened regulatory focus on the security and integrity of the food supply chain has placed additional emphasis on accurate record-keeping, transparent accountability and end-to-end traceability. To meet the needs of the modern regulatory landscape, food chain stakeholders require robust systems and tools to manage their quality control (QC), environmental monitoring and chain of custody data. Despite this, many businesses still handle this information using paper-based approaches or localized spreadsheets, which can compromise operational efficiency and regulatory compliance.

The fundamental flaw of these traditional data management approaches is their reliance on manual data entry and transcription steps, leaving information vulnerable to human error. To ensure the accuracy of data, some companies implement resource-intensive verification or review checks. However, these steps inevitably extend workflows and delay decision-making, ultimately holding up the release of products at a high cost to businesses. Moreover, as paper and spreadsheet-based data management systems must be updated by hand, they often serve merely as a record of past events and are unable to provide insight into ongoing activities. The time lag associated with recording and accessing supply chain information means that vital insight is typically unavailable until the end of a process, and data cannot be used to optimize operations in real-time.

Furthermore, using traditional data management approaches, gathering information in the event of an audit or food safety incident can be extremely challenging. Trawling through paperwork or requesting information contained in spreadsheets saved on local computers is time-consuming and resource-intensive. When it comes to establishing accountability for actions, these systems are often unable to provide a complete audit trail of events.

Digital Solutions Transform Food Security and Compliance

Given the limitations of traditional workflows, food supply chain stakeholders are increasingly seeking more robust data management solutions that will allow them to drive efficiency, while meeting the latest regulatory expectations. For many businesses, laboratory information management systems (LIMS) are proving to be a highly effective solution for collecting, storing and sharing their QC, environmental monitoring and chain of custody data.

One of the most significant advantages of managing data using LIMS is the way in which they bring together people, instruments, workflows and data in a single integrated system. When it comes to managing the receipt of raw materials, for example, LIMS can improve overall workflow visibility, and help to make processes faster and more efficient. By using barcodes, radiofrequency identification (RFID) tags or near-field communication, samples can be tracked by the system throughout various laboratory and storage locations. With LIMS tracking samples at every stage, ingredients and other materials can be automatically released into production as soon as the QC results have been authorized, streamlining processes and eliminating costly delays.

By storing the standard operating procedures (SOPs) used for raw material testing or QC centrally in a LIMS, worklists, protocols and instrument methods can be automatically downloaded directly to equipment. In this way, LIMS are able to eliminate time-consuming data entry steps, reducing the potential for human error and improving data integrity. When integrated with laboratory execution systems (LES), these solutions can even guide operators step-by-step through procedures, ensuring SOPs are executed consistently, and in a regulatory compliant manner. Not only can these integrated solutions improve the reliability and consistency of data by making sure tests are performed in a standardized way across multiple sites and testing teams, they can also boost operational efficiency by simplifying set-up procedures and accelerating the delivery of results. What’s more, because LIMS can provide a detailed audit trail of all user interactions within the system, this centralized approach to data management is a robust way of ensuring full traceability and accountability.

This high level of operational efficiency and usability also extends to the way in which data is processed, analyzed and reported. LIMS platforms can support multi-level parameter review and can rapidly perform calculations and check results against specifications for relevant customers. In this way, LIMS can ensure pathogens, pesticides and veterinary drug residues are within specifications for specific markets. With all data stored centrally, certificates of analysis can be automatically delivered to enterprise resource planning (ERP) software or process information management systems (PIMS) to facilitate rapid decision-making and batch release. Furthermore, the sophisticated data analysis tools built into the most advanced LIMS software enable users to monitor the way in which instruments are used and how they are performing, helping businesses to manage their assets more efficiently. Using predictive algorithms to warn users when principal QC instruments are showing early signs of deterioration, the latest LIMS can help companies take preventative action before small issues turn into much bigger problems. As a result, these powerful tools can help to reduce unplanned maintenance, keep supply chains moving, and better maintain the quality and integrity of goods.

While LIMS are very effective at building more resilient supply chains and preventing food security issues, they also make responding to potential threats much faster, easier and more efficient. With real-time access to QC, environmental monitoring and chain of custody data, food contamination or adulteration issues can be detected early, triggering the prompt isolation of affected batches before they are released. And in the event of a recall or audit, batch traceability in modern LIMS enables the rapid retrieval of relevant results and metadata associated with suspect products through all stages of production. This allows the determination of affected batches and swift action to be taken, which can be instrumental in protecting consumer safety as well as brand value.

Using LIMS to Protect Security and Integrity of the Food Supply Chain

Increasingly, LIMS are helping businesses transform food security by bringing people, instruments and workflows into a single integrated system. By simplifying and automating processes, providing end-to-end visibility across the food supply chain, and protecting the integrity of data at every stage, these robust digital solutions are not only helping food supply chain stakeholders to ensure full compliance with the latest regulations; they are enabling businesses to operate more efficiently, too.

References

  1. FDA. (2011). FDA Food Safety Modernization Act. Accessed October 3, 2019. Retrieved from https://www.fda.gov/food/food-safety-modernization-act-fsma/full-text-food-safety-modernization-act-fsma.
  2. Balzano, J. (2015). “Revised Food Safety Law In China Signals Many Changes And Some Surprises”. Forbes. Accessed October 3, 2019. Retrieved from https://www.forbes.com/sites/johnbalzano/2015/05/03/revised-food-safety-law-in-china-signals-many-changes-and-some-surprises/#624b72db6e59.
Susanne Kuehne, Decernis
Food Fraud Quick Bites

A Broken Record

By Susanne Kuehne
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Susanne Kuehne, Decernis
Food Fraud, E.Coli, Decernis
Find records of fraud such as those discussed in this column and more in the Food Fraud Database. Image credit: Susanne Kuehne

Over the course of almost a full year, laboratory documents were falsified by the owner and the quality control officer of a Connecticut meat processing company. None of the reported beef samples were actually taken and tested for E. coli. The letterhead of a formerly utilized inspection laboratory was fraudulently used to falsify the test documents, an act that carries a maximum term of five years in prison. Fortunately, no illness was reported from consumers who purchased the meat products.

Resources

  1. The United States Attorney’s Office (September 23, 2019). “Quality Control Officer of Connecticut Meat Supplier Admits Fabricating E. Coli Test Results”. Department of Justice, U.S. Attorney’s Office, District of Connecticut.
LIMS, laboratory information management system

Integrated Informatics: Optimizing Food Quality and Safety by Building Regulatory Compliance into the Supply Chain

By Kevin Smith
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LIMS, laboratory information management system

Global food supply chains offer consumers more choice than ever before. Thanks to international networks of producers, wholesalers, manufacturers and suppliers, many ingredients can be sourced all year round, meaning diets are no longer limited by what’s in season. However, the increasing complexity of these supply chains means many food and beverage products are potentially more exposed to biological and chemical contamination as well as food fraud issues, putting brand reputation and human health at risk.

With consumer trust and public safety of paramount importance, global food regulators have introduced strict rules to protect the quality and authenticity of products. Regulations such as the FDA’s Food Protection Plan, for example, seek to incorporate safety measures throughout food supply chains in order to better prevent and respond to potential issues.1 These regulations are complemented by standards such as the ISO’s recently updated ISO 22000:2018 guidelines that recommend the implementation of hazard analysis and critical control points (HACCP) to achieve the highest levels of quality control (QC).2 For businesses working within this regulatory framework, it is essential to take a coordinated approach to deliver the standards of food quality and safety that customers and regulators expect.

Every food supply chain will have its own set of product specifications and QC parameters. However, all these requirements demand that decisions on the release of goods are made using accurate and timely information. Given the growing attention from regulators on the safety and provenance of food, as well as the need for operations to run as efficiently as possible, supply chain stakeholders are reevaluating the digital platforms they use to manage, store and recall their data. Here, we consider how laboratory information management systems (LIMS) can help businesses integrate efficient data collection workflows across multiple locations to support robust QC testing and build regulatory compliance into their operations.

Meeting the Challenges Facing Modern Food Supply Chains

Assuring consistent product quality and safety is a constant challenge for food supply chain businesses, given the broad range of issues that can compromise these standards. Although most businesses adopt strict storage and handling protocols to minimize the risk of foodborne illnesses caused by bacterial contamination, high-profile public health stories regularly hit the headlines. The widespread use of pesticides and veterinary drugs in farming also means that ingredients are potentially exposed to a wide range of known and unknown chemical contaminants. Contamination can also occur during the handling, processing and packaging stages. Robust QC measures are therefore essential to identify issues as early as possible.

Equally, food adulteration and counterfeiting continue to be key challenges, with high-value products regularly targeted by food fraudsters. The Grocery Manufacturers Association estimates that up to 10% of all commercially sold food products are affected by these practices, costing the industry between $10 and $15 billion each year and putting public health at risk.3 Comprehensive QC testing, supported by robust chain of custody data, is required to demonstrate quality and authenticity of goods, protect brands and safeguard consumers.

However, the extended nature of modern food supply chains can make delivering against these goals more difficult, especially if poorly integrated information management approaches are employed. As food supply chains have gone global, it has become increasingly common for businesses to operate storage, production and processing facilities across sites in multiple regions, countries and even continents. To deliver goods that meet well-defined safety and quality specifications, QC workflows must be built upon standardized protocols that are implemented correctly across the supply chain, regardless of the individual following them or the location in which they operate. These workflows must be supported by robust information exchange mechanisms that make sure the right decisions around product manufacturing and batch release can be made using accurate, complete and up-to-date information.

Improving QC Data Quality Using Integrated Data Management Solutions

With fragmented information management approaches often getting in the way of this ideal, many food businesses are looking to transform their poorly connected systems into informatics platforms that streamline operations, improve visibility and reduce errors. The latest LIMS allow businesses to bring all their QC data into a single integrated system, helping to harmonize processes and make information sharing more efficient to enhance product quality and safety.

Take the execution of standard operating procedures (SOPs) for pesticide residue testing, for example. By centrally connecting instruments and storing SOPs digitally on a LIMS, processes and parameters can be downloaded directly, eliminating the need for human error-prone manual set-up and supporting the consistent collection of data. Furthermore, because these SOPs are located in a centralized system, securely accessible to authorized users across all sites and facilities, the risk of SOPs becoming out of date or out of sync is greatly reduced. With guidance on residue levels regularly updated to reflect the evolving knowledge of these threats, ensuring the latest testing protocols are applied is particularly important.

Additionally, because LIMS capture and store QC measurements directly, as it is generated, they eliminate the need for labor-intensive transcription and data transfer processes. Not only does this improve measurement accuracy by taking human error out of the equation, it also boosts efficiency and reduces the administrative burden on those responsible for collecting QC data. As a result, experienced staff can spend less time on paperwork and data entry, and more time actively optimizing processes and finding solutions to other key challenges. With access to the most accurate and up-to-date information, businesses are better placed to maintain the integrity of the food supply chain and can act to resolve potential issues before they turn into more significant problems.

Supporting Well-Defined QC Processes and Regulatory Compliance

With international food regulators turning their attention to the methods used to assure the quality and authenticity of foodstuffs, supply chain stakeholders are now expected to have well-defined QC workflows that not only provide complete traceability of products from farm to fork, but also transparency around processes such as instrument calibration and data handling.

LIMS, laboratory information management system
Modern LIMS allow food businesses to visualize their workflow data using dashboards, process diagrams or facility maps. Image courtesy of Thermo Fisher Scientific.

LIMS allow food businesses to build regulatory compliance into their processes by providing a comprehensive overview of all supply chain data, including information associated with QC steps. As all data required to support proof of compliance is organized in a single system, it can be quickly and conveniently recalled for sharing or review purposes. Some of the latest systems allow users to visualize this data holistically on process diagrams or dashboards, helping to fulfill HACCP requirements and make keeping track of active workflows as easy as possible.

Furthermore, because LIMS can be used to capture and store data automatically, they also facilitate the real-time monitoring of supply chain processes, meaning out-of-specification QC parameters can be flagged and reported earlier. The sophisticated algorithms present in some of the latest LIMS can even be used to warn businesses of small but significant trends such as the decline in performance of an aging instrument, which could cause unexpected downtime or cause product quality standards to fall over time. These alerting capabilities mean potential issues can be remedied faster, helping stakeholders more proactively protect consumer safety.

Defensible data is central to protecting brand integrity, especially when it comes to issues around food adulteration and counterfeiting. As such, food businesses need robust data management tools that support complete traceability of actions. By automatically recording every interaction with the system to generate a comprehensive audit trail and facilitating the use of e-signatures to document review procedures, LIMS can safeguard the highest levels of accountability, from data collection all the way through to results reporting. Some of the most advanced LIMS also feature powerful audit trail search functionality, allowing authorized users to recall specific actions such as unusual QC activity or potentially non-compliant behavior. With a secure record of events and a single, integrated platform for supply chain data, food businesses can focus on what’s important—optimizing processes and delivering high-quality goods.

Optimizing and Safeguarding the Food Supply Chain Using LIMS

Modern LIMS allow food supply chain stakeholders to build regulatory compliance into their workflows by standardizing QC processes and giving authorized individuals full visibility over their data. By facilitating faster and more informed decision-making using accurate and up-to-the-minute data, LIMS are helping businesses meet current industry challenges head on to maintain the safety and integrity of the food supply chain.

References

  1. FDA. (November 2007). Food Protection Plan. Access April 7, 2019. Retrieved from , https://www.fda.gov/downloads/aboutfda/centeroffices/oc/officeofoperations/ucm121761.pdf .
  2.  International Organization for Standardization. (June 2018). ISO 22000:2018(en) Food safety management systems — Requirements for any organization in the food chain..
  3. The Grocery Manufacturers Association and A.T. Kearney. (2010). Consumer Product Fraud: Deterrence and Detection.
Mahni Ghorashi, Clear Labs
FST Soapbox

Why the Food Safety Industry Needs the Cloud

By Mahni Ghorashi
2 Comments
Mahni Ghorashi, Clear Labs

Cloud computing and storage, the breakthrough technology that once dominated headlines, conferences and CIOs’ strategic plans, is now commonplace in most industries. That is not to discount the journey it took to get here, though. This easy acceptance wasn’t always the case, and in fact, some of the world’s most important industries are lagging behind.

Food safety is one such industry that stands to gain the most from adopting cloud technology but continues to rely heavily on manual processes, paperwork, and cumbersome on-premise databases. These methods are seen as fail-safe, proven by history to be effective enough and compatible with the overarching goals of the industry. We’re suffering from the age-old adage: If it isn’t broken, we don’t need to fix it.

While the food safety industry has good reasons for taking a more conservative approach to new technology, I’d argue that the most pressing risk to our industry is the failure to invest in innovation. In our own attempts to avoid risk, we’re actually exposing ourselves to far greater losses both in protecting consumers and new opportunities.

A Path Forward For Food Safety

The food safety industry is changing, and changing rapidly. However, despite advances, the industry still faces major challenges. We’ve seen more than 200 recalls just this year. An average recall costs $10 million dollars in direct costs alone. On average, it takes 57 days to recall food, according to a report by the Office of Inspector General.

At the same time, we’re beginning to generate more data than ever, with technologies like blockchain and next-generation sequencing coming online in a big way. We’re about to experience a data explosion arguably bigger than in any other industry. A single NGS test can give industry officials hundreds of millions of data points per analysis, and routine pathogen tests are happening at high volumes around the clock.

This amount of data cannot be contained in the spreadsheets and on-premise databases of today.

The hesitation to adopt cloud-computing is not unfounded, given the initial fear around outages and security, and a disbelief that the technology could ever be as reliable and secure as their existing systems. And the hesitation is even more understandable when you consider that food and beverage is the third-most hacked industry. The damage from these breaches can be extensive, with reports that 70% of hacked food and beverage companies go out of business within a year of an attack. There is a substantial cost for lax security or prolonged outages.

Clearly, any solution has to be comprehensive, and our justifications for switching systems have to be all the more clear. But we cannot as an industry sit idle.

The food safety industry has an opportunity to learn from those who have gone before us and build a stronger, more robust cloud infrastructure.

We’re starting to see this shift take place – some of the top poultry manufacturers have already made the leap into cloud computing. They and others will prove that the value of making the move far outweighs the risk.

Quality Control and Consistency

Right now, it’s not uncommon for food safety employees to record their observations via paper and pencil. In a best-case scenario, these professionals are forced into spreadsheets with limited interoperability. In either scenario, there are huge amounts of friction when it comes to sharing information and, in fact, data can easily be lost as inboxes fill, software crashes, or papers get buried in the shuffle.

By enabling instantaneous data sharing, the cloud makes collaboration across an organization easily accessible for the first time. This, in turn, boosts productivity and also guarantees a higher degree of consistency in both process and results.

Employees can instantly share results, communicate across departments, and easily control permissions and access to information, allowing others to iterate on or apply their findings in real time.

Speed Across an Organization

The drive to increase efficiency actually underwrites the entire food safety industry. Experts are constantly asking how we can be faster at assessing risk, managing recalls, and generally running a business. These questions are only becoming more important as the threat of foodborne illness continues to rise.

The cloud enables greater speed in tracking food information inside and outside of the lab. Perhaps more than any other tool, cloud technology is going to allow the food safety industry to more quickly and effectively manage recalls.

Technology that allows companies to immediately update information company-wide without the burden or drag of an unwieldy IT infrastructure is valuable. Technology that gives you easily interpretable results, so that you can make quick decisions for the good of public health safety is valuable.

Cloud technology enables both. You could easily process terabytes worth of data and spit out easy, comprehensible results that would have otherwise taken days or weeks to produce.

This ability, which on its own is attractive, is especially important as you get into more complicated pathogen tests. For example, with traditional serotyping, a substantial portion of calls are subjective. The speed of cloud computing can take away some of that guesswork.

Dramatic Cost Savings

Not only does the cloud offer a faster system for storing and accessing information, but it also offers cheaper infrastructure, usually an offshoot of its speed. A survey of more than 1,000 IT professionals found that 88% of cloud users pointed to cost savings and 56% agreed that cloud services had helped them boost profits. Additionally, the absolute cost of the cloud is continuing to drop, improving margins.

With the cost savings enabled by the cloud, the food safety lab no longer has to stay a cost center. Adopting cloud technologies can create more wiggle room in a company’s budget and free up resources for ambitious experiments, new product development, and other activities that contribute to the bottom line of the organization.

Security and Regulatory Advancements

The cloud also allows companies to more easily cooperate with HAACP and FSMA regulations. With all of this organizational data easily available and updated in real time, organizations can ensure they’re keeping pace with regulatory requirements by easily producing traceability records and managing compliance requirements across multiple locations and vendors, for example.

While better, more transparent data management company-wide has always been the draw of cloud, the technology has been crippled by simultaneous concerns about security. Food safety executives feel stuck between wanting to comply with best practices and needing to protect sensitive and valuable information.

Fortunately, food safety has waited long enough. Even as recently as 2015, cloud breaches of major organizations’ databases were still making headlines. However, the technology has come a long way in a short time. Cloud providers are beginning to implement automatic checks of systems to analyze threats and identify their severity.

These advancements speak to the food safety industry’s primary pain points, security and speed. By solving for both, the cloud has reached a maturity worthy of the food safety industry.

The Future: Data Pollination

Finally, the cloud makes it much easier to share data across departments, organizations, and even entire industries.

We’re entering an era of data pollination. What I mean by that is there an opportunity to mesh food safety data (genomic data, label information, etc.) with other forms of data—human microbiome data, for instance, to create “personalized” food, enabling consumers to eat ideal foods based on their genetic makeup. While this trend has already taken off, it could be further improved and better validated by bringing food and genetic data out of their silos.

On the opposite end of the production line, data pollination could also help farmers, who have huge amounts of data at their fingertips, understand how they can play a larger role in food safety. If data can enable farmers to produce bigger yields, data can also certainly help farmers prevent any environmental causes of food safety on the farm itself.

Bringing together the data from the entire lifecycle of food—from farmer to consumer—can only be a good thing, powered by the cloud.

Conclusion

The food industry should not look at the task of updating their infrastructure to the cloud as a burden or an extra cost—it’s an investment and when done right, it can provide far greater returns. We have the advantage of late adoption and learning from the implementation mistakes and successes.

This isn’t just incremental improvement territory—we’re talking about making a quantum leap forward in our industry.

Megan Nichols
FST Soapbox

How Automation Benefits the Food and Beverage Industry

By Megan Ray Nichols
1 Comment
Megan Nichols

During seasonal volume and demand peaks in the food and beverage industry, common practice is to increase labor and mobile equipment supplies temporarily. While this works great for small- to medium-sized businesses even in the current landscape, it’s not ideal for larger teams. This is primarily due to the evolution of technology, especially in the automation sector.

Adding more labor and machines can help increase volume, but it comes with a sizeable cost, one that could be shaved with the right process and system updates. As one might expect, adopting advanced automation systems, robotics and processes that can be controlled via machinery or software is the answer. Believe it or not, these systems can be made to work alongside and improve performance of existing laborers and teams.

In fact, automation is taking many industries by storm, and it’s about time food and beverage companies climbed aboard. Automotive, construction and healthcare are just three examples of industries already being disrupted by automation and AI.

But how is the technology being adopted or implemented in the food industry, and how will companies benefit from incorporating such systems?

Better Quality Control

Along the food and beverage supply chain, there are so many involved processes, workers and touchpoints that it can be difficult to not only keep track of food, but also to monitor its quality. As you know, quality is of incredible importance in the industry. You don’t want faulty or contaminated foods entering the market because it can be detrimental. Food must always remain traceable and safe, and it’s difficult to guarantee a system that has so many working cogs.

Automation, however, can change that completely. With the appropriate systems, defects and issues can be noticed much earlier in the supply chain. By detecting problems during packaging or processing, you can cut down on the total number of problematic goods that enter the market. Better yet, you can accurately identify when and where those problems are coming from and remedy the issue for improved performance in the future. If something along your supply chain is the culprit, automation will help you hone in.

Eliminating contamination can be controlled — and achieved — by deploying the appropriate cooling and air compressor systems. However, that also means understanding where this hardware must be utilized for maximum reliability. Automation and analytics systems can be helpful in discerning this information, better protecting foods and goods along the chain.

It’s not a pipe dream, either — systems are already being adopted and implemented to achieve such a thing.

End-To-End Traceability

While we touched on the idea of traceability a little in the point above, it’s the lion’s share that’s really going to make a difference. Automation and modern analytics tools can be deployed to track products and goods from inception to fulfillment. Because the systems in question are designed to track and monitor on their own with little to no input, you can tap in anywhere along the chain to seek the information you need.

Have a contaminated shipment that was discovered too late? You can use the modern analytics and automation tools at your disposal to find exactly where they are shipped or headed. This way you can head off a massive health problem before it even starts.

This, in turn, can help alleviate compliance costs and stressors, as well as improve the overall performance of the supply chain and various key processes. You could, for example, see how long a particular stop or touchpoint along the supply chain is taking and use the information provided to speed up performance.

End-to-end traceability and all the data that comes with it is about more than just watching where food comes from, where it is handled and where it goes. You can use the data provided to build an accurate profile and predictive system for future gains.

Improved Worker Safety

Automation systems, AI and modern robotics are often used to control rote, repetitive and sometimes even dangerous tasks. In this way, you can save human laborers from the dangers of a particular activity or even the monotony of busy work. It frees them up to handle more important demands, which is another benefit.

Of course, increased safety and protection for your loyal workforce can also work to alleviate operation or maintenance costs in the long run. It can lead to faster and more widespread adoption of new standards and regulations for your workforce at large as well. Traditionally, such a change might require additional training, new equipment or even better protection for your workers.

In the case of automation, you can simply update the existing hardware and software to be compliant and save the trouble of maintaining everything else, such as updating safety gear for your workers, which would no longer be necessary.

Efficiency Boost

It’s no secret that when deployed and developed properly, a machine or automation system can perform work faster and better than human laborers, at least in some cases. A machine never tires, never gets bored and can never slack off—unless it has a malfunction. That’s not to say modern technologies will be used to replace workers outright, but instead, they might be deployed alongside them to help them work faster, better and safer.

Take Amazon, for instance, which has deployed an army of AI and automation robots inside their warehouses to improve the efficiency of their order fulfillment process. It has the added benefit of speeding up the entire system, so customers get their items faster. It also improves safety and performance for the workers, effectively eliminating unsafe tasks or rote work.

Automation can provide benefits across the board for the food and beverage industry. It will be interesting to see how technological developments unfold.

RFID tags on drying marijuana flowers

Marijuana Edibles: Update on a Rapidly Developing Market

By Aaron G. Biros
No Comments
RFID tags on drying marijuana flowers

A lot has changed since last year’s article, “Marijuana Edibles: A Regulatory Nightmare.” Marijuana has since catapulted into mainstream thinking via activism, state decriminalization, and medical reforms while investors and banks are beginning to trust the market more, further legitimizing the nascent industry. According to an article from the Washington Post, Colorado’s legal marijuana industry reached $700 million in 2014 and is expected to grow to $1 billion by 2016.

Innovators are beginning to analyze trends on a national level, looking toward federal rescheduling of the drug as a catalyst for more state reforms and wider legalization measures. Federal legalization is in the back of many minds, as the introduction of pivotal state and federal legislative reforms promises more access to banking services, medical research, and more state independence.

While a black market mentality remains prevalent, widespread state reforms, increased venture capital investment, and further legitimization of an industry with less barriers of entry have fostered a perceived reduction in risk. States like Oregon, Washington, and Colorado that have already legalized marijuana for recreational and medical sales are beginning to implement strict packaging rules, requirements for traceability, QA programs, testing and laboratory monitoring requirements, and other regulations that would suggest FDA oversight down the road.

marijuana buds drying in racks biotrackthc
Dried marijuana buds curing with RFID tags as part of the traceability system of BiotrackTHC

State regulatory bodies such as the Colorado Marijuana Enforcement Division (MED) have matured and expanded their oversight to include certifications and requirements for lab testing and analysis. Marijuana testing facilities can now be certified by the MED to test for residual solvents, poisons or toxins, harmful chemicals, dangerous molds, mildew or filth, harmful microbials such as E. coli or Salmonella, pesticides, and THC levels and Cannabinoid potency.

According to an article from theCannabist.com, edible marijuana took 45% of the market share in 2014 and continues to grow, proving that food manufacturers and processors will gain a bigger share of the market.

BioTrackTHC develops a seed-to-sale traceability system that is the state-mandated reporting system used by any business that touches the plant in compliance with Washington’s i502 regulations (The company also won the contract bid for New Mexico’s and New York’s state-run traceability systems). “From day one, all retail products under i502, including infused edibles, must have laboratory-submitted passing test results and data in the traceability system before it can be unlocked for shipment to retailers,” says Patrick Vo, CEO of BioTrackTHC.

RFID tags on drying marijuana flowers
RFID tags on drying marijuana flowers, from BioTrackTHC

Regulations, especially those addressing traceability, are crucial for advancing the industry and fighting the black market, performing recalls, and improving product quality and safety. Vo adds, “As more states adopt a centralized traceability system, food safety will improve as we see the industry grow.”

“Most of the marijuana edibles producers we advise are working comfortably within their state health department regulations versus a year ago when they were struggling to implement routine compliance,” says Stephen Goldner, CEO of Regulatory Affairs Associates.  “But there is a long way to go to make this new marketplace meet the standards routinely met by US food producers in other markets such as nutritional supplements and medical foods.”

Many edible producers are sadly mistaken to ignore FDA labeling and production regulations just because the producer only ships within their own state, according to Goldner. “Whenever FDA has found label or food safety violations of products, whether they are food, drugs or any other product, it has always acted quickly to seize the product, inspect the producer and insist that violative labeling or production practices be remedied,” he says, adding that it won’t be surprising to see FDA start to “seize marijuana-infused food products that make drug claims, especially from the leading current producers” as a way for the agency to insert itself into the inspection and compliance process. “These companies need to have FDA food GMP’s solidly in place and properly documented,” says Goldner.

“Those who have experienced the most consistent and long term success in this industry are those who play above board, those who take the extra effort and make the investment in effort, time, and money to treat their business as if it was already federally legal and had to adhere to standards that other industries must follow,” says Vo. He agrees with the view held by many that long term planning is vital in this industry. “Those who have implemented best practices, QA programs, and traceability software will succeed in the long run, and the bad actors will eventually, by their own poor practices, be filtered out by regulatory and market forces.”

In the near future, the industry will look to other states in regulatory experiments on opposite sides of the spectrum. “New York, which legalized medical marijuana in 2014, is handing out 5 licenses to operate 4 dispensaries each, and allowing licensees to have a grow facility to supply their respective dispensaries. The Commissioner of the New York State Department of Health will have authority on licensing, testing, and medical requirements for patients seeking treatment with medical marijuana,” says R. David Marquez, who operates a Long Island law firm focusing on the cannabis industry.

New York is implementing very strict rules regarding cultivating and processing the plant. California, on the other side of the spectrum, already operates a somewhat loosely regulated medical marijuana market and has been doing so since 1996. The bill to legalize marijuana recreationally in the state is widely expected to pass vote and be implemented in 2016. This would open up an enormous market potential and contribute to the growth of the industry on a national level.

Because marijuana edibles are theoretically both a food and a drug, it is only appropriate that the FDA should look to regulate the industry in the future. In the meantime “Those who have invested the time and money in staying compliant now will be far ahead of the game tomorrow,” says Patrick Vo, who is looking toward federal legalization.

It seems that manufacturers and processors at the forefront of quality and safety testing will succeed in the long run.

Footnote: This is a regulatory update on the cannabis industry with an emphasis on edible marijuana. CannabisIndustryJournal.com, the newest publication, will be launched in September of this year. CannabisIndustryJournal.com will educate the marketplace covering news, technology, business trends, safety, quality, and the regulatory environment, aiding in the advancement of an informed and safe market for the global cannabis industry. Stay tuned for more!