Tag Archives: Supply Chain

Derek Rickard, Cimcorp Automation Ltd.
FST Soapbox

Up to Speed: How Automated Order Picking Protects Product Freshness

By Derek Rickard
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Derek Rickard, Cimcorp Automation Ltd.

Today’s food producers and retailers are in a constant race against time. This race starts within the four walls of the distribution center, where products must move from receiving, through storage and dispatch—with high speed and accuracy. While the goal (or finish line) is to get these products to stores as fast as possible and meet consumer expectations, speed of delivery also plays a vital role in ensuring the quality of foods—particularly easily perishable ones like fruits, vegetables, eggs, meats, certain dairy products and baked goods.

Namely, efficient product flow means companies can meet shorter lead times and thereby deliver fresher, safer food—with longer shelf lives—to market. It’s a seemingly easy concept, yet many organizations continue to stumble as a result of ongoing operational challenges that slow distribution down, especially in facilities that continue to utilize manual order picking.

Major challenges include:

  • Continued reliance on physical labor with fulfillment speed highly dependent on the endurance of individual employees.
  • SKU proliferation due to product diversification, where facilities must now store and manage more products than ever before in a seemingly shrinking amount of space.
  • Seasonal spikes in business that require order picking staff to work harder and often longer hours to keep up with the influx of orders.

For organizations struggling to address these challenges and meet the need for speed in distribution, now is an opportune time to look at automation. There are now robotic order picking systems that can store, retrieve and move products effortlessly through a facility, ensuring rapid handling and very short lead times.

By choosing to automate, food producers and retailers can realize numerous benefits, including the following.

1. Accelerated Order Fulfillment

Naturally a robotic system can assemble orders and prepare them for outbound shipping far faster than humanly possible. Thus, an automated distribution center is often up to six times more efficient than a manual one. Notably, there are systems now that integrate order picking and product handling in a single solution, rather than separate functions (as traditionally done but which is too slow for fresh food distribution).

Such a system can perform both buffer storage and order picking in one simultaneous operation for significant time savings. Facilities can thereby prepare orders closer to the time of a truck’s arrival, instead of hours in advance. Foods then spend less time in transport and can maintain their quality and consistency. This also helps to reduce chances of spoilage, which in turn cuts back on waste and the supply chain’s impact on the environment.

2. Improved Ergonomics and Workplace Safety

In distribution centers that rely solely on manual order picking, employees have to run up and down long stretches of aisles and lift heavy crates or boxes. In addition to being inefficient, such manual operations make order picking a strenuous and injury-prone job. The risks for injury have only helped further the labor shortage problem seen nationwide, as job seekers show declining interest in material handling careers.

But when automated systems take over the majority of order picking processes, there is less human involvement—which can help fill in any gaps left by labor shortages. Order fulfillment speed also becomes less dependent on the physical capabilities of employees. Existing staff can then be elevated into new roles in managing and overseeing automated systems. These are safer and far more enriching positions that can draw a whole new pool of technical talent.

3. Better Space Utilization

As mentioned, there is a growing trend towards product diversification, where companies are now offering more options to consumers, such as additional sizes, flavors and health-conscious choices. As a result, the number of SKUs in most distribution centers is exploding. Some facilities once designed to house a few hundred SKUs are now dealing with thousands, leaving little room to spare.

Those challenged by SKU proliferation can consider an overhead robotic system that uses high-density, floor-based storage, where goods are stacked on the warehouse floor. This eliminates the need for racking or traveling around aisles. Plus, it reduces the number of movements required to pick an order. Facilities can store more products within their existing space, offsetting the costs of possible new construction. An overhead robotic system can also clear all products from the warehouse floor for easy, hygienic cleaning.

4. Flexibility to Keep Up During Seasonal Peaks

In all consumer goods industries, there are times of the year when demand spikes and orders come pouring in. For the food industry, companies tend to see spikes during the holiday season and in the summer months—times when people commonly host get-togethers.

Seasonal peaks can take a heavy toll on manual warehouse operations. Some try to hire temporary employees to get by, but that comes with challenges in providing proper training in a short span of time. But automated systems—particularly those with a modular design—are flexible and scalable, enabling facilities to adjust their number of robots to meet fluctuations in order volume—during seasonal highs and lows.

A notable example of a food company that is successfully leveraging automation is grocery leader Kroger. Namely, Kroger wanted to develop a state-of-the-art, automated plant and distribution center to achieve many of the benefits discussed above, including ensuring product quality and reducing employee risks of injury.

Built in Denver, Colorado, Kroger’s “Mountain View Foods” facility processes fresh conventional and organic milk, and packages aseptically processed milk, creams and juices. Within Mountain View Foods, Kroger has installed an end-to-end automated system that can store up to 36,000 crates and pick 32,000 crates per day. Cases are picked according to specified sequences on one end of the facility and then palletized for truck loading at the other, with significant storage buffering in between.

Cimcorp, Kroger, Automation
Having installed an end-to-end automated system, Kroger benefits from orders picked with 100-percent accuracy, at faster speeds, which results in shorter lead times and optimal product freshness for shoppers. Image courtesy of Cimcorp.

A warehouse control system (WCS) controls all robotic movements and serves as the brains behind the automation. The software also collects data on each processed order, giving Kroger traceable information to meet food safety requirements. Kroger benefits from orders picked with 100-percent accuracy, at faster speeds, which results in shorter lead times and optimal product freshness for shoppers.

Kroger’s story demonstrates the power of automation in enabling more streamlined order fulfillment. Those that choose to automate can overcome the many challenges that inhibit efficient product flow and thereby bolster their supply chain velocity. Simply put, faster fulfillment means fresher products in stores. And, fresher products are safer products for consumers to enjoy.

Crop spraying, Ellutia

From Farm to Fork: The Importance of Nitrosamine Testing in Food Safety

By Andrew James
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Crop spraying, Ellutia

N-nitroso compounds (NOCs), or nitrosamines, have once again made headline news as their occurrence in some pharmaceuticals has led to high profile product recalls in the United States.1 Nitrosamines can be carcinogenic and genotoxic and, in the food industry, can compromise a food product’s quality and safety. One nitrosamine in particular, N-nitrosodimethylamine (NDMA), is a highly potent carcinogen, traces of which are commonly detected in foods and may be used as an indicator compound for the presence of nitrosamines.2

NOCs can potentially make their way into the food chain in a number of ways, including (but not limited to): Via the crop protection products used to maximize agricultural yields; via the sodium and/or potassium salt added to preserve certain meats from bacterial contamination; as a result of the direct-fire drying process in certain foods; and via consumption of nitrates in the diet (present in many vegetables due to natural mineral deposits in the soil), which react with bacteria and acids in the stomach to form nitrosamines.3

The crop protection and food manufacturing industries are focused on ensuring that levels of nitrosamines present in foods are minimal and safe. Detection technology for quantitating the amount of nitrosamines (ppm levels) in a sample had not advanced in nearly 40 years—until recently. Now, a thermal energy analyzer (TEA) —a sensitive and specific detector—is being relied on to provide fast and sensitive analysis for players throughout the food supply chain.

Regulatory Landscape

Both NDMA and the nitrosamine N-nitrososodiethylamine (NDEA) have been classified by national and international regulatory authorities as ‘probable human carcinogens’.3 NDMA in particular is by far the most commonly encountered member of this group of compounds.7

In the United States there are limits for NDMA or total nitrosamines in bacon, barley malt, ham and malt beverages, yet there are currently no regulatory limits for N-nitroso compounds (NOC) in foods in the EU.7

Developers of crop protection products are required to verify the absence of nitrosamines or quantify the amount at ppm levels to ensure they are within the accepted guidelines.

Crop Protection

The presence of nitrosamines must be traced and risk-managed along the food’s journey from farm to fork. The issue affects testing from the very beginning – particularly at the crop protection stage, which is one of the most highly regulated industries in the world. Without crop protection, food and drink expenditures could increase by up to £70 million per year and 40% of the world’s food would not exist.7

Development of a new crop protection product (herbicide, fungicide, insecticide or seed treatment) involves several steps: Discovery and formulation of the product, trials and field development, toxicology, environmental impacts and final registration. New product registration requires demonstration of safety for all aspects of the environment, the workers, the crops that are being protected and the food that is consumed. This involves comprehensive risk assessments being carried out, based on data from numerous safety studies and an understanding of Good Agricultural Practice (GAP).

One global producer of agrochemicals uses a custom version of the TEA to verify the absence of nitrosamines or quantitate the amount of nitrosamines (ppm levels) in its active ingredients. The LC-TEA enables high selectivity for nitro, nitroso and nitrogen (when operating in nitrogen mode), which allows only the compounds of interest to be seen. Additionally, it provides very high sensitivity (<2pg N/sec Signal to Noise 3:1), meaning it is able to detect compounds of interest at extremely low levels. To gain this high sensitivity and specificity, it relies on a selective thermal cleavage of N-NO bond and detection of the liberated NO radical by the chemiluminescent signal generated by its reaction with ozone.

The customized system also uses a different interface with a furnace, rather than the standard pyrolyser, to allow for the additional energy required and larger diameter tubing for working with a liquid sample rather than gas.

The system allows a company to run five to six times more samples with increased automation. As a direct result, significant productivity gains, reduced maintenance costs and more accurate results can be realized.

Food Analysis

Since nitrite was introduced in food preservation in the 1960s, its safety has been debated. The debate continues today, largely because of the benefits of nitrite in food products, particularly processed meats.6 In pork products, such as bacon and cured ham, nitrite is mostly present in the sodium and/or potassium salt added to preserve the meat from bacterial contamination. Although the meat curing process was designed to support preservation without refrigeration, a number of other benefits, such as enhancing color and taste, have since been recognized.

Analytical methods for the determination of N-nitrosamines in foods can differ between volatile and non-volatile compounds. Following extraction, volatile N-nitrosamines can be readily separated by GC using a capillary column and then detected by a TEA detector. The introduction of the TEA offered a new way to determine nitrosamine levels at a time when GC-MS could do so only with difficulty.

To identify and determine constituent amounts of NOCs in foods formed as a direct result of manufacturing and processing, the Food Standards Agency (FSA) approached Premier Analytical Services (PAS) to develop a screening method to identify and determine constituent amounts of NOCs in foods formed as a direct result of manufacturing and processing.

A rapid and selective apparent total nitrosamine content (ATNC) food screening method has been developed with a TEA. This has also been validated for the known dietary NOCs of concern. This method, however, is reliant on semi-selective chemical denitrosation reactions and can give false positives. The results can only be considered as a potential indicator rather than definitive proof of NOC presence.

In tests, approximately half (36 out of 63) samples returned a positive ATNC result. Further analysis of these samples by GC-MS/MS detected volatile nitrosamine contamination in two of 25 samples.

A key role of the TEA in this study was to validate the alternative analytical method of GC-MS/MS. After validation of the technique by TEA, GC-MS/MS has been proven to be highly sensitive and selective for this type of testing.

The Future of Nitrosamine Testing

Many countries have published data showing that toxicological risk from preformed NOCs was no longer considered an area for concern. Possible risks may come from the unintentional addition or contamination of foods with NOCs precursors such as nitrite and from endogenous formation of NOCs and more research is being done in this area.

Research and innovation are the foundations of a competitive food industry. Research in the plant protection industry is driven by farming and the food chain’s demand for greater efficiency and safer products. Because the amount of nitrosamines in food that results in health effects in humans is still unknown, there is scope for research into the chemical formation and transportation of nitrosamines, their occurrence and their impact on our health. Newer chromatographic techniques are only just being applied in this area and could greatly benefit the quantification of nitrosamines. It is essential that these new approaches to quality and validation are applied throughout the food chain.

References

  1. Christensen, J. (2020). More popular heartburn medications recalled due to impurity. CNN.
  2. Hamlet, C, Liang, L. (2017). An investigation to establish the types and levels of N-nitroso compounds (NOC) in UK consumed foods. Premier Analytical Services, 1-79.
  3. Woodcock, J. (2019). Statement alerting patients and health care professionals of NDMA found in samples of ranitidine. Center for Drug Evaluation and Research.
  4. Scanlan, RA. (1983). Formation and occurrence of nitrosamines in food. Cancer res, 43(5) 2435-2440.
  5.  Dowden, A. (2019). The truth about nitrates in your food. BBC Future.
  6.  Park, E. (2015). Distribution of Seven N-nitrosamines in Food. Toxicological research, 31(3) 279-288, doi: 10.5487/TR.2015.31.3.279.
  7.  Crews, C. (2019). The determination of N-nitrosamines in food. Quality Assurance and Safety of Crops & Foods, 1-11, doi: 10.1111/j.1757-837X.2010.00049.x
  8. (1989) Toxicological profile for n-Nitrosodimethylamine., Agency for Toxic substances and disease registry.
  9. Rickard, S. (2010). The value of crop protection, Crop Protection Association.
Susanne Kuehne, Decernis
Food Fraud Quick Bites

Fraudulent Dinner Is Served

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

Due to extensive opportunities for fraud, the lack of an adequate monitoring system, cost pressures in the industry, and lack of transparency in the food supply chain, amongst other factors, fraudulent food products still pose a significant risk within the hospitality industry. A recent study discusses the food service food fraud vulnerability assessment (FS-FFCA), showing as an example that one-third of extra virgin olive oil samples at restaurants and catering facilities were adulterated. More tools are urgently needed to protect consumers and legitimate operations from illicit activities.

Resource

  1. van Ruth, S.M., et al. (March 9, 2020): “Feeding fiction: Fraud vulnerability in the food service industry”. Food Research International, Volume 133, July 2020, 109158

 

Angela Fernandez, GS1
Retail Food Safety Forum

Can We See Some ID?

By Angela Fernandez
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Angela Fernandez, GS1

Several leading consumer packaged goods (CPG) brands and retailers started collaborating last year to address an issue growing larger by the day—inaccurate product data in the supply chain. They have challenged themselves to better serve customers who are shopping for their groceries more and more with smartphone in hand or shopping online. These companies worked together with the common understanding that standardization is imperative to have a consistent view of product data across the supply chain.

Verified GS1
A new, global cloud-based registry that will help trading partners confirm the unique identity of products. Image courtesy of GS1.

The group led by GS1 and the Consumer Goods Forum focused on the root causes of bad data in the retail grocery industry. Verified by GS1— a new, global cloud-based registry that will help trading partners confirm the unique identity of products—resulted from these discussions. It will serve as a single source for retailers, marketplaces and the solution providers they work with to automatically check core product attributes to help ensure the integrity of product listings.

For these recipients to access trusted data through this registry platform, brands must first provide seven core attributes for an “identification card” for products, similar to the identification card you carry around in your wallet. Much like eye color, hair color and height, products have attributes used by retailers to confirm the product is what a brand says it is. Each one provides a layer of trust to help increase efficiency and accuracy in the supply chain.

Let’s break down the importance of these attributes and learn why they are essential to confirm a product’s unique identity.

The Identification Number

Global Trade Item Number (GTIN) is used to uniquely identify a trade item in the global supply chain. This number is encoded into the U.P.C. barcode used at the point of sale or can be included in online product listings.

The GTIN plays a critical role in a product’s identity due to the way it is constructed. The brand owner selling the product is identified in the number itself in the form of a company prefix, the first few numbers of the GTIN. But over the years, erroneous numbers have plagued the CPG industry. A prefix that has four zeros, for example, is an indicator that the GTIN is not unique and might have been the result of human error. Also, some brand owners have found that GTINs were “borrowed” from other products during the setup process, resulting in duplicate GTINs in the supply chain, often tied to very different products. The GTIN is the key piece of information for a retailer to know they are working with a reputable company and can confidently add a product to their offering.

The Essential Descriptors

Brand name is another important part of a product’s identity, especially in relation to its GTIN. Verified by GS1 will provide a way for brands and retailers to make sure the right brand name is used in connection with the right GTIN. GS1 worked with member companies to set forth a common definition for brand name to increase consistency in the supply chain. It is a name provided by the brand owner that is intended to be recognized by the consumer as represented on the product.

Let’s say your company makes jam. The brand name would be Sticky’s Traditional, because that is what’s recognizable by the consumer. Some contributors to Verified by GS1 were surprised to find extreme inconsistencies with brand names in their backend systems, which caused confusion for consumers who searched online for familiar keywords and came up with nothing.

Product description is defined as a description of a product using a combination of key elements familiar to consumers, such as flavor or scent. The description should be unique so that consumers can properly distinguish it from other products. In our jam example, the product description is just what it sounds like it would be: Sticky’s Traditional Raspberry Jam, Low Sugar, 18 oz.

Front-facing product, product identifcation
An example of a standard, front-facing product image URL. Image courtesy of GS1.

Much like your driver’s license describes what you look like through eye color, hair color, or whether or not you wear glasses, the product description is what the consumer can visually confirm when they look at the package. Another key attribute in the Verified by GS1 identification card, the product image URL, serves the same purpose. A standardized product image clearly depicts the product being sold, and the industry can now align on a common naming convention for the image as well as how to communicate the image to trading partners.

The Necessary Technical Components

The three remaining parts of the product’s ID card are the components of identification most important for machines to read and understand and are less sought-after by consumers. Global product category, for example, is a classification code developed in accordance with GS1 Standards that provides buyers and sellers a common language for grouping products in the same way. It could be used as classifying option for consumers shopping online. In our jam example, the global product category is “10000581 – Food Glazes (Shelf Stable).”

Net content and unit of measure are essential to commonly represent a product’s weights and dimensions. This attribute makes it clear that metrics and units of measure go hand-in-hand—our jar of jam cannot just say NET 18. It needs to say it weighs NET 18 OZ. Either of these attributes independent of each other are red flags that the data is erroneous.

Country of sale or target market are used interchangeably and both indicate the location where the product is being sold. For multinational companies selling products in more than one country, this becomes important to ensure the right language is on the right product packaging to match the target market where it is being sold. For example, one product that has French on its packaging should signify France as its country of sale/target market, while an identical product with German on its packaging should be coded for Germany.

All seven attributes are pieces of information deemed important to consumer satisfaction and serve as a jumping off point for the transparency initiatives being demanded by consumers. While it is only just ramping up in the retail grocery industry now, Verified by GS1 is designed to help several different types of industries confirm product identity. It has the potential to significantly improve the foundational data that will only grow in importance as more consumers shop digitally.

Ultimately, as more data is shared consistently according to standards, incremental progress will be made toward the ultimate goal of cementing the trust of consumers, no matter where and how they encounter information about the products they purchase.

GREG BALESTRIER, Green Rabbit
Retail Food Safety Forum

Solving Food Safety Challenges in Today’s eCommerce Driven World

By Greg Balestrieri
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GREG BALESTRIER, Green Rabbit

Think about this number for a second: Consumers spent more than $19 billion on online grocery in 2019. While this is still a small segment of the overall $800 billion U.S. grocery market, more consumers than ever before are turning to eCommerce for the fulfillment and delivery of perishable goods, positioning the grocery delivery market to grow dramatically, especially as companies like Amazon continue to innovate in this area.

Adding to this, a recent survey found that 68% of consumers feel the freshness of perishable items is the number one quality they look for in online grocery retail. This is where things become complicated, as shipping perishables introduces an entirely new set of quality challenges for eCommerce brands. This is hindering the market from reaching its full potential until the biggest problem is solved: Ensuring food safety and freshness in every order.

This is a double-edged sword for retailers, grocers and CPGs: Interest in their service is taking off, but it takes just one package of spoiled meat or wilted vegetables to potentially lose a customer to a competitor—or even worse, get someone sick.

Today, spoilage and food safety issues are primarily driven by breakdowns in the cold chain, and it only takes one mishap to affect the quality of food throughout the rest of the delivery lifecycle. To achieve optimal freshness and keep customers happy, grocers, retailers and their trusted partners need to focus on three primary food freshness factors: Temperature, storage and packaging.

Controlling each of these issues starts at the warehouse.

Freshness Starts at the Warehouse

For most parcels, such as clothing, books and other commonly ordered goods, temperature control is rarely an issue. However, facilities that store perishable foods have a constant component to manage—temperature fluctuation.

According to the NRDC, cooling and refrigeration inconsistency is one of the biggest contributors to food spoilage and waste. This is because every food item has a definable maximum shelf life, and storing them at less than optimal or constantly changing temperatures can exacerbate and drastically shorten its timeline.

Mistakes with heightened temperatures on items like meat and poultry can also lead to bacteria growth and foodborne illnesses. In fact, the CDC estimates that 48 million people get sick, 128,000 are hospitalized and 3,000 die from foodborne diseases each year in the United States, putting a spotlight on how seriously food safety issues need to be taken.

The Need for Proper Rotation Processes

First expiration, first out (FEFO) is a motto all organizations should live by when stocking inventory. In addition, it is a critical process when working to avoid the food spoilage crisis. It may come as a surprise, but not all distribution centers have this type of rotation system in place. This means organizations could send spoiled food to consumers because an item was pushed to the back of a refrigerator during the re-stocking process and unknowingly shipped passed its expiration date. Not only does this create massive amounts of food waste, tarnish a brand and eat into a company’s profits by replacing low margin products, but consuming a spoiled food item can also be detrimental to one’s health.

While it helps to keep these types of costly errors in mind, as warehouse operations grow, there’s no possible way to manually scale this system.

Luckily, breakthroughs in cold chain technology have produced automated solutions that help organizations track everything from expiration dates to potential recalls. These types of technology support the entire cold chain lifecycle and ensure that warehouses and their grocery partners have the visibility they need to ensure freshness from fulfillment to the customer’s doorstep.

However, when the product is ready to leave the warehouse, it’s arguably about to enter the hardest portion of the cold chain lifecycle: Delivery.

Key Considerations for Packaging

For fragile items, packaging is all about keeping the item protected from drops and damage, but for food the focus should be on keeping the item fresh and at optimum temperatures throughout the duration of transit.

Given many grocers outsource delivery, they have little interest in whether food spoils, mainly because they are unaware of the package contents and are more focused on getting the item to the right location fast and effectively.

Yet there are many obstacles that need to be addressed during the last leg of delivery. What is the temperature in the delivery vehicle? If no one is home or at the office, will the package spoil outside in the heat?

For perishables, it is imperative that spoilage rates, delays in shipping schedules and unattended delivery scenarios are important factors in determining the amount of cold pack and protective stuffing that goes into the package. If these factors are not considered, customers could return to spoiled, melted or even crushed perishables.

Getting Food Fast and Fresh

Today, grocers and retailers are bullish on building out omnichannel food initiatives. However, balancing brick and mortar locations while developing profitable and efficient online delivery systems is often more than one organization can take on. While there are trusted partners designed to support eCommerce fulfillment and delivery, few are purpose-built to handle perishable foods.

Either way, in order to see wide-scale adoption of online grocery initiatives, grocers, retailers and ecosystem partners need to start prioritizing the key temperature, storage and packaging considerations and challenges associated shipping perishable foods. Acknowledging these challenges and implementing solutions for them will not only keep your products and deliveries fresh, but they will also keep customers coming back for more.

Susanne Kuehne, Decernis
Food Fraud Quick Bites

Organic Foods Are Growing And So Is Fraud

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

USDA Certified Organic foods keep enjoying a robust growth, with fruit and vegetables leading, followed by dairy and beverages. Fraudulent organic certification is a growing problem, especially because food supply chains are becoming more complex, with a large amount of organic food now being imported. Violations by fraudulent organic certification are punishable by hefty fines and can be reported to the National Organic Program Online Complaint Portal.

Resource

  1. United States Department of Agriculture (March 9, 2020) Scientific Reports 9: “Fraudulent Organic Certificates”.
Michael Bartholomeusz, TruTag
In the Food Lab

Intelligent Imaging and the Future of Food Safety

By Michael Bartholomeusz, Ph.D.
1 Comment
Michael Bartholomeusz, TruTag

Traditional approaches to food safety no longer make the grade. It seems that stories of contaminated produce or foodborne illnesses dominate the headlines increasingly often. Some of the current safeguards set in place to protect consumers and ensure that companies are providing the freshest, safest food possible continue to fail across the world. Poorly regulated supply chains and food quality assurance breakdowns often sicken customers and result in recalls or lawsuits that cost money and damage reputations. The question is: What can be done to prevent these types of problems from occurring?

While outdated machinery and human vigilance continue to be the go-to solutions for these problems, cutting-edge intelligent imaging technology promises to eliminate the issues caused by old-fashioned processes that jeopardize consumer safety. This next generation of imaging will increase safety and quality by quickly and accurately detecting problems with food throughout the supply chain.

How Intelligent Imaging Works

In broad terms, intelligent imaging is hyperspectral imaging that uses cutting-edge hardware and software to help users establish better quality assurance markers. The hardware captures the image, and the software processes it to provide actionable data for users by combining the power of conventional spectroscopy with digital imaging.

Conventional machine vision systems generally lack the ability to effectively capture and relay details and nuances to users. Conversely, intelligent imaging technology utilizes superior capabilities in two major areas: Spectral and spatial resolution. Essentially, intelligent imaging systems employ a level of detail far beyond current industry-standard machinery. For example, an RGB camera can see only three colors: Red, green and blue. Hyperspectral imaging can detect between 300 and 600 real colors—that’s 100–200 times more colors than detected by standard RGB cameras.

Intelligent imaging can also be extended into the ultraviolet or infrared spectrum, providing additional details of the chemical and structural composition of food not observable in the visible spectrum. Hyperspectral imaging cameras do this by generating “data cubes.” These are pixels collected within an image that show subtle reflected color differences not observable by humans or conventional cameras. Once generated, these data cubes are classified, labeled and optimized using machine learning to better process information in the future.

Beyond spectral and spatial data, other rudimentary quality assurance systems pose their own distinct limitations. X-rays can be prohibitively expensive and are only focused on catching foreign objects. They are also difficult to calibrate and maintain. Metal detectors are more affordable, but generally only catch metals with strong magnetic fields like iron. Metals including copper and aluminum can slip through, as well as non-metal objects like plastics, wood and feces.

Finally, current quality assurance systems have a weakness that can change day-to-day: Human subjectivity. The people put in charge of monitoring in-line quality and food safety are indeed doing their best. However, the naked eye and human brain can be notoriously inconsistent. Perhaps a tired person at the end of a long shift misses a contaminant, or those working two separate shifts judge quality in slightly different ways, leading to divergent standards unbeknownst to both the food processor and the public.

Hyperspectral imaging can immediately provide tangible benefits for users, especially within the following quality assurance categories in the food supply chain:

Pathogen Detection

Pathogen detection is perhaps the biggest concern for both consumers and the food industry overall. Identifying and eliminating Salmonella, Listeria, and E.coli throughout the supply chain is a necessity. Obviously, failure to detect pathogens seriously compromises consumer safety. It also gravely damages the reputations of food brands while leading to recalls and lawsuits.

Current pathogen detection processes, including polymerase chain reaction (PCR), immunoassays and plating, involve complicated and costly sample preparation techniques that can take days to complete and create bottlenecks in the supply chain. These delays adversely impact operating cycles and increase inventory management costs. This is particularly significant for products with a short shelf life. Intelligent imaging technology provides a quick and accurate alternative, saving time and money while keeping customers healthy.

Characterizing Food Freshness

Consumers expect freshness, quality and consistency in their foods. As supply chains lengthen and become more complicated around the world, food spoilage has more opportunity to occur at any point throughout the production process, manifesting in reduced nutrient content and an overall loss of food freshness. Tainted meat products may also sicken consumers. All of these factors significantly affect market prices.

Sensory evaluation, chromatography and spectroscopy have all been used to assess food freshness. However, many spatial and spectral anomalies are missed by conventional tristimulus filter-based systems and each of these approaches has severe limitations from a reliability, cost or speed perspective. Additionally, none is capable of providing an economical inline measurement of freshness, and financial pressure to reduce costs can result in cut corners when these systems are in place. By harnessing meticulous data and providing real-time analysis, hyperspectral imaging mitigates or erases the above limiting factors by simultaneously evaluating color, moisture (dehydration) levels, fat content and protein levels, providing a reliable standardization of these measures.

Foreign Object Detection

The presence of plastics, metals, stones, allergens, glass, rubber, fecal matter, rodents, insect infestation and other foreign objects is a big quality assurance challenge for food processors. Failure to identify foreign objects can lead to major added costs including recalls, litigation and brand damage. As detailed above, automated options like X-rays and metal detectors can only identify certain foreign objects, leaving the rest to pass through untouched. Using superior spectral and spatial recognition capabilities, intelligent imaging technology can catch these objects and alert the appropriate employees or kickstart automated processes to fix the issue.

Mechanical Damage

Though it may not be put on the same level as pathogen detection, food freshness and foreign object detection, consumers put a premium on food uniformity, demanding high levels of consistency in everything from their apples to their zucchini. This can be especially difficult to ensure with agricultural products, where 10–40% of produce undergoes mechanical damage during processing. Increasingly complicated supply chains and progressively more automated production environments make delivering consistent quality more complicated than ever before.

Historically, machine vision systems and spectroscopy have been implemented to assist with damage detection, including bruising and cuts, in sorting facilities. However, these systems lack the spectral differentiation to effectively evaluate food and agricultural products in the stringent manner customers expect. Methods like spot spectroscopy require over-sampling to ensure that any detected aberrations are representative of the whole item. It’s a time-consuming process.

Intelligent imaging uses superior technology and machine learning to identify mechanical damage that’s not visible to humans or conventional machinery. For example, a potato may appear fine on the outside, but have extensive bruising beneath its skin. Hyperspectral imaging can find this bruising and decide whether the potato is too compromised to sell or within the parameters of acceptability.

Intelligent imaging can “see” what humans and older technology simply cannot. With the ability to be deployed at a number of locations within the food supply chain, it’s an adaptable technology with far-reaching applications. From drones measuring crop health in the field to inline or end-of-line positioning in processing facilities, there is the potential to take this beyond factory floors.

In the world of quality assurance, where a misdiagnosis can literally result in death, the additional spectral and spatial information provided by hyperspectral imaging can be utilized by food processors to provide important details regarding chemical and structural composition previously not discernible with rudimentary systems. When companies begin using intelligent imaging, it will yield important insights and add value as the food industry searches for reliable solutions to its most serious challenges. Intelligent imaging removes the subjectivity from food quality assurance, turning it into an objective endeavor.

Benjamin Katchman, PathogenDx
In the Food Lab

Revolutionary Rapid Testing for Listeria Monocytogenes and Salmonella

By Benjamin A. Katchman, Ph.D., Michael E. Hogan, Ph.D., Nathan Libbey, Patrick M. Bird
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Benjamin Katchman, PathogenDx

The Golden Age of Bacteriology: Discovering the Unknown in a Farm-to-Market Food Supply.

The last quarter of the 19th Century was both horrific and exciting. The world had just emerged from four decades of epidemic in cholera, typhoid fever and other enteric diseases for which no cause was known. Thus, the great scientific minds of Europe sought to find understanding. Robert Koch integrated Pasteur’s Germ Theory in 1861 with the high technology of the day: Mathematical optics and the first industrialized compound microscopes (Siebert, Leiss, 1877), heterocycle chemistry, high-purity solvents (i.e., formaldehyde), availability of engineered glass suitable as microscope slides and precision-molded parts such as tubes and plates in 1877, and industrialized agar production from seaweed in Japan in 1860. The enduring fruit of Koch’s technology integration tour de force is well known: Dye staining of bacteria for sub-micron microscopy, the invention of 13 cm x 1 cm culture tubes and the invention of the “Petri” dish coupled to agar-enriched culture media. Those technologies not only launched “The Golden Age of Bacteriology” but also guided the entire field of analytical microbiology for two lifetimes, becoming bedrock of 20th Century food safety regulation (the Federal Food, Drug and Cosmetic Act in 1938) and well into the 21st century with FSMA.

Learn more about technologies in food safety testing at the Food Labs / Cannabis Labs Conference | June 2–4, 2020 | Register now!Blockchain Microbiology: Managing the Known in an International Food Supply Chain.

If Koch were to reappear in 2020 and were presented with a manual of technical microbiology, he would have little difficulty recognizing the current practice of cell fixation, staining and microscopy, or the SOPs associated with fluid phase enrichment culture and agar plate culture on glass dishes (still named after his lab assistant). The point to be made is that the analytical plate culture technology developed by Koch was game changing then, in the “farm-to-market” supply chain in Koch’s hometown of Berlin. But today, plate culture still takes about 24 to 72 hours for broad class indicator identification and 48 to 96 hours for limited species level identification of common pathogens. In 1880, life was slow and that much time was needed to travel by train from Paris to Berlin. In 2020, that is the time needed to ship food to Berlin from any place on earth. While more rapid tests have been developed such as the ATP assay, they lack the speciation and analytical confidence necessary to provide actionable information to food safety professionals.

It can be argued that leading up to 2020, there has been an significant paradigm shift in the understanding of microbiology (genetics, systems based understanding of microbial function), which can now be coupled to new Third Industrial Age technologies, to make the 2020 international food supply chain safer.

We Are Not in 1880 Anymore: The Time has Come to Move Food Safety Testing into the 21st Century.

Each year, there are more than 48 million illnesses in the United States due to contaminated food.1 These illnesses place a heavy burden on consumers, food manufacturers, healthcare, and other ancillary parties, resulting in more than $75 billion in cost for the United States alone.2 This figure, while seemingly staggering, may increase in future years as reporting continues to increase. For Salmonella related illnesses alone, an estimated 97% of cases go unreported and Listeria monocytogenes is estimated to cause about 1,600 illnesses each year in the United States with more than 1,500 related hospitalizations and 260 related deaths.1,3 As reporting increases, food producers and regulatory bodies will feel an increased need to surveil all aspects of food production, from soil and air, to final product and packaging. The current standards for pathogenic agriculture and environmental testing, culture-based methods, qPCR and ATP assays are not able to meet the rapid, multiplexed and specificity required to meet the current and future demands of the industry.

At the DNA level, single cell level by PCR, high throughput sequencing, and microarrays provide the ability to identify multiple microbes in less than 24 hours with high levels of sensitivity and specificity (see Figure 1). With unique sample prep methods that obviate enrichment, DNA extraction and purification, these technologies will continue to rapidly reduce total test turnaround times into the single digit hours while simultaneously reducing the costs per test within the economics window of the food safety testing world. There are still growing pains as the industry begins to accept these new molecular approaches to microbiology such as advanced training, novel technology and integrated software analysis.

It is easy to envision that the digital data obtained from DNA-based microbial testing could become the next generation gold standard as a “system parameter” to the food supply chain. Imagine for instance that at time of shipping of a container, a data vector would be produced (i.e., time stamp out, location out, invoice, Listeria Speciation and/or Serovar discrimination, Salmonella Speciation and/or Serovar discrimination, refer toFigure 1) where the added microbial data would be treated as another important digital attribute of the load. Though it may seem far-fetched, such early prototyping through the CDC and USDA has already begun at sites in the U.S. trucking industry, based on DNA microarray and sequencing based microbial testing.

Given that “Third Industrial Revolution” technology can now be used to make microbial detection fast, digital, internet enabled and culture free, we argue here that molecular testing of the food chain (DNA or protein based) should, as soon as possible, be developed and validated to replace culture based analysis.

Broad Microbial Detection
Current microbiological diagnostic technology is only able to test for broad species of family identification of different pathogens. New and emerging molecular diagnostic technology offers a highly multiplexed, rapid, sensitive and specific platforms at increasingly affordable prices. Graphic courtesy of PathogenDx.

References.

  1. Scallan, E., Hoekstra, R. M., Angulo, F. J., Tauxe, R. V., Widdowson, M. A., Roy, S. L., … Griffin, P. M. (2011). Foodborne illness acquired in the United States–major pathogens. Emerging infectious diseases, 17(1), 7–15. doi:10.3201/eid1701.p11101
  2. Scharff, Robert. (2012). Economic Burden from Health Losses Due to Foodborne Illness in the United States. Journal of food protection. 75. 123-31. 10.4315/0362-028X.JFP-11-058.
  3. Mead, P. S., Slutsker, L., Dietz, V., McCaig, L. F., Bresee, J. S., Shapiro, C., … Tauxe, R. V. (1999). Food-related illness and death in the United States. Emerging infectious diseases, 5(5), 607–625. doi:10.3201/eid0505.990502
Ben Schreiber, ActiveSense
Bug Bytes

How ERM Can Simplify Pest Management

By Benjamin Schreiber
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Ben Schreiber, ActiveSense

Whether you work in food manufacturing, distribution or retail, pests are both a fact of life as well as a regulatory disruption. At the same time, pest management solutions aren’t always clear-cut: While there are a variety of effective strategies employed by pest management professionals (PMPs) servicing the food industry, industry challenges—shifting regulatory standards, a lack of proper documentation and more—can complicate the process. For these reasons, short-term rodent problems can become long-term logistical nightmares, leaving food manufacturers in an undesirable situation when a third-party food plant auditor arrives.

Fortunately, emerging technologies in pest management practices are helping facility managers streamline their food and beverage quality assurance processes, reducing the risk of product loss, regulatory action, improper brand management and more. Specifically, electronic remote monitoring (ERM) allows PMPs to detect and monitor rodents in real time, providing you with important information to help reduce risk and increase audit compliance. As such, the value of food safety pest management strategies that incorporate ERM systems is only growing. Seeking out PMPs who use ERM allows you to invest in technologies that protect your margins, ensure the quality of your product and, ultimately, safeguard your most important asset—your reputation.

Modernizing Pest Management With ERM

At first glance, it might seem like pest management practices haven’t drastically changed since they were first implemented in the food manufacturing industry. Many rodent trapping systems remain similar to their original design: Devices designed to trap or kill that must be individually inspected and serviced by professional technicians. Technicians must then relay any risks to facility managers, who have to determine if additional resources are needed to avoid product loss or audit-based infractions.

Upon closer examination, it’s clear that while pests themselves have not significantly changed, both the pest management industry and the modern food supply chain have become increasingly complex. Food facility managers must contend with increasingly stringent food safety standards, and PMPs must rise to meet these needs with evolving pest management strategies.

In many ways, ERM technologies are the structural pest control industry’s response to these challenges, providing technicians with real-time notifications about rodent behavior and allowing them to make risk-based assessments that identify and treat problems before infestations occur. Unlike pest control strategies that rely on periodic service visits from technicians, PMPs who utilize ERM technology can monitor pest activity around the clock, 24/7/365, in virtually any environment. Instead of monitoring individual traps, PMPs can use ERM technology to know exactly when and where pest activity occurs, including in hard-to-monitor areas such as drop ceilings, crawlspaces, shelving undersides and other traditionally overlooked spaces. Technicians then receive valuable analytics from each trap they install, as well as documentation and reporting, that help managers achieve audit and regulatory compliance.

FSMA and ERM

In 2015, the FDA issued the final component of preventative control for human food under FSMA, officially enacting legislation that requires food safety plants to focus on risk-based pest prevention instead of reactive pest control strategies. As a result, quality assurance professionals and facility managers are often tasked with reallocating personnel toward proactive pest control activities in addition to their day-to-day responsibilities.

In many ways, ERM systems go hand-in-hand with FSMA and GFSI regulations. While preparing for a situation that hasn’t yet occurred can be a costly and time-consuming process, ERM has helped PMPs develop custom pest management strategies that assess and control situations in accordance with FSMA and other auditing firm guidelines. In many ways, ERM can provide all parties—PMPs, in-house auditors and third-party regulators—with a track record of pest history that all parties can cross-reference when assessing a facility.

From Risk-Averse to Risk-Based

When it comes to food safety rules and regulations, the only constant is change. In the structural pest control industry, auditors have historically implemented strict guidelines about trap placement that are frequently changing: For instance, traps should be placed every 10, 15, or 20 feet, regardless of facility susceptibility to various pest conditions. Failure to comply with regulations can result in point deductions on audits, even if the conditions that might lead to an infestation are not present. As such, food processing plants often choose to abide by the most stringent audit guidelines imposed upon them by other parties, such as retailers. By utilizing ERM technologies, food safety and quality assurance professionals can use additional pest monitoring analytics to focus on specific compliance issues, rather than spending additional time and money on other strategies.

Additionally, ERM allows PMPs to focus their efforts not only on weekly service visits and station checks, but also on important tasks, including assessing facility vulnerabilities, tracking rodent access points, and providing consultation and additional management strategies to their client—you.

Approaching the Audit with ERM

Food plant managers and retailers alike know that auditor approval is everything. Because ERM is a fast-developing technology, many quality assurance managers and facility owners are curious to know if ERM is audit approved. In truth, there are many kinds of audits, each with different goals, assessment techniques and regulatory standards. When it comes to audits, the gold standard is not necessarily the assessment of the facility and production line itself, but rather how well the assessment matches records kept by the food production plant.

To this end, ERM might be the answer to a streamlined audit process. No matter what kind of audit a plant is currently undergoing, ERM allows PMPs to provide records auditors need to verify that all systems are working properly. ERM can mean the difference between a streamlined process and a laborious audit, acting as a documentation system that helps officials conduct a PMP-verified “second-check.” This kind of verification is invaluable in an industry where there are already more than enough regulatory categories to consider without having to further worry about potential pest infestations.

ERM-Oriented Solutions

Thanks to the many advantages they offer, ERM and other remote pest monitoring technologies are growing in popularity. Many facility managers appreciate that ERM allows them to assess pest activity, prevent infestations before they occur, gather data that helps them remain industry-compliant, and acquire and share information with additional parties. If you’re a facility manager, quality assurance professional or other food safety decision-maker interested in the opportunities ERM technologies provide, consider starting the conversation about your pest prevention system with your PMP and how ERM might help improve it.

Trust, But Verify

There is an overwhelming consensus in the pest control industry that technology should be developed to provide end-users with more information. ERM systems are a natural extension of this belief, providing each component of the food production and distribution supply chain—manufacturers, distributors, retailers, quality assurance officials, technicians and others—with more data about how pest control decisions are made. Without data, it can be difficult to ensure technician service visits end in greater transparency about the issues facility owners will face as they prepare for an audit.

Fortunately, ERM can help provide the level of trust and assurance plant managers need to feel confident in their day-to-day operations. ERM is an important step forward for manufacturer-regulator relations, which require a strong combination of data, trust and transparency to ensure that communication systems don’t break down. After all, there are many industries in which miscommunication can lead to catastrophic consequences, and food production is no exception.

While each manufacturing facility, processing plant, distribution center, storage warehouse and retail outlet is different, none are insusceptible to pest infestations, and none can avoid audits required to keep them compliant. Because rigorous oversight is crucial for food producers and consumers alike, working with your PMP to develop pest monitoring strategies that utilize ERM systems and other cutting-edge technologies should be part of your larger pest control consideration process.

In the end, the pest infestation that causes the least damage to your product, profit potential and industry reputation is the infestation that never occurs.

Lab grown meat

How Plant-Based Foods Are Changing the Supply Chain

By Maria Fontanazza
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Lab grown meat

The plant-based meat market is anticipated to be worth more than $320 million in the next five years, according to a report released last summer by Global Market Insights. As the popularity of meat-alternative products continues to rise, new challenges are being introduced to supply chain management. Joe Scioscia, vice president of sales at VAI explains some of these hurdles and proposes how technology can help.

Food Safety Tech: Is the growing popularity of plant-based foods introducing hazards or challenges to the supply chain?

Joe Scioscia, VAI
“The growing popularity of plant-based foods has presented a new set of challenges for the supply chain,” says Joe Scioscia of VAI.

Joe Scioscia: The growing popularity of plant-based foods has presented a new set of challenges for the supply chain, especially considering many of these organic items are being introduced by traditionally non-organic retailers. Impossible Foods received FDA approval for its plant-based burger in 2019, showing just how new the plant-based movement is to the industry.

Obviously, the organic supply chain and produce suppliers have long followed regulations for handling produce, such as temperature controls, cargo tracking, and supply and demand planning software, so the produce could be tracked from farm to table and in the case of a recall, be traced back to the source. But for meat alternatives that are combining multiple plant-based ingredients, organizations in the supply chain who are handling these products
have new food safety concerns. Considerations on how to store and process meat alternatives, how to treat each ingredient in the product and, most importantly, how to determine temperature controls or the source of contamination are all discussions the food industry is currently having.

FST: How are plant-based foods changing the dynamic of the supply chain from a food safety perspective?

Scioscia: The food supply chain has changed dramatically in recent years to become more complex, with food items traveling farther than ever before, containing more ingredients and required to follow stricter regulations. Many of the changes to the supply chain are for the better—organic and plant-based alternatives offer health benefits for consumers and are a move towards a more sustainable future. But the reality is that the supply chain isn’t quite there yet. Suppliers, retailers and producers at every part of the supply chain need to work together to ensure transparency and food safety compliance—including for plant-based products. Foodborne illnesses are still a real threat to the safety of consumers, and these same consumers are demanding transparency into the source of their food and sustainable practices from brands. All of these considerations are what’s making this next era of the food industry more complicated than ever before.

Because food safety compliance is always top of mind in the food industry to keep consumers safe, this new and complex supply chain has required companies to rely heavily on technology solutions to ensure plant-based products are equally as safe to consume as non-organic alternatives. These same solutions are also helping supply chains become more transparent for customers and streamline food processes to build a more sustainable future.

FST: What technologies can food companies and retailers use to better manage the supply chain risk while supporting the increased consumer demand for meat alternatives?

Scioscia: Utilizing a centralized software system is one tool many food suppliers and distributors can use to better visualize, trace and process products in the supply chain—including for plant-based alternatives. Having access to a central platform for business data to track assets and ensure food safety regulations are being met allows for companies to optimize processes and cut unnecessary costs along the way.

Heading into 2020, many organizations in the food supply chain are also looking at new applications like IoT, automation, and blockchain as ways to curb food safety issues. The FDA has taken steps to pilot blockchain and AI programs to better track drugs and food products, in conjunction with major food brands and technology companies. Other organizations are following suit with their own programs and many are looking at these solutions to improve their food tracking efforts. It’s clear technology has the most potential to make it easier on the industry to comply with food safety regulations while meeting customer demands for plant-based alternatives and organic options—all the while building a sustainable supply chain for the future.