Tag Archives: authenticity

Susanne Kuehne, Decernis
Food Fraud Quick Bites

A Special Aura To Track Authenticity

By Susanne Kuehne
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Susanne Kuehne, Decernis
Cognac, food fraud
Find records of fraud such as those discussed in this column and more in the Food Fraud Database, owned and operated by Decernis, a Food Safety Tech advertiser. Image credit: Susanne Kuehne

Cognac manufacturer Hennessy joined AuraBlockchain, a non-profit private blockchain for luxury brands that can be used to track the entire supply chain of a product. From raw materials to manufacturing to the consumer, digital timestamps are used to trace and record every step of the production process. Every product has a unique ID, with decentralized and unchangeable blockchain records. The consumer can check these records online to ensure authenticity of the purchased product.

Resource

  1. Taylor, P. (March 21, 2022). “Hennessey adds blockchain traceability via Aura alliance”. Securing Industry.
Karen Everstine, Decernis
Food Fraud Quick Bites

Why Is Honey Fraud Such a Problem?

By Karen Everstine, Ph.D., Gina Clapper, Norberto Luis Garcia
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Karen Everstine, Decernis

Honey is a deceptively simple product. According to Codex Alimentarius, it is the “natural sweet substance produced by honey bees from the nectar of plants or from secretions of living parts of plants or excretions of plant sucking insects on the living parts of plants, which the bees collect, transform by combining with specific substances of their own, deposit, dehydrate, store and leave in the honey comb to ripen and mature.” The result of this extensive process is a substance that consists primarily of fructose and glucose and, therefore, is prone to adulteration with sugars from other sources. Unlike sugars from other sources, honey contains a variety of vitamins, minerals, amino acids, enzymes, and other micronutrients, which makes it uniquely valuable.1

Honey is much more expensive to produce than other sugar syrups, particularly those from plants such as corn, rice, sugarcane and sugar beets. As a result, there is a strong economic advantage for replacement of honey with other sugar syrups. Honey consistently rates as one of the top five fraudulent food products based on public sources of data (see Figure 1).

Food Fraud Records
Source: Decernis Food Fraud Database

Testing to ensure honey authenticity is not always straightforward.2 Traditionally, analytical methods could detect C4 sugars (from corn or sugarcane) but not C3 sugars (from rice, wheat or sugar beets). Testing methods have evolved, but there are still many challenges inherent in authenticating a sample of a product labeled as “honey.” One promising area of authentication is based on nuclear magnetic resonance (NMR) spectroscopy, which is a method that can identify and quantify a large number of substances in a sample. Instead of trying to detect one particular adulterant, this method allows comparison of the results of a sample to a range of verified honey samples for authentication (similar to “fingerprinting”). This makes it a flexible and more powerful method for authentication. However, one of the current challenges with NMR is that large databases of verified results must be built to enable effective fingerprinting of any single honey sample. Given the variety of botanical sources of nectar, geographic locations of honey productions, and various other natural factors, this is a large task.

USP FCC, along with their global network of scientific experts, has two ongoing projects related to honey authenticity. The first is development of a honey identity standard. The purpose of the standard is to provide a set of specifications and methods that can be used to help ensure a product—particularly one with natural variability, such as a juice, cold-pressed oil or honey—is accurately and appropriately represented. The standard is voluntary and intended for use in business-to-business relationships (it is not regulatory in nature). It is flexible enough to allow for the natural variability of the product. The FCC honey standard was posted and available for public comment last year and is anticipated to be published in the Food Chemicals Codex in September 2021. The USP Honey Expert Panel is also developing a food fraud mitigation guidance document specific to honey. The guidance will include a detailed description of the various contributing factors to honey fraud and guidance on developing a fraud mitigation plan specific to honey. It is planned for inclusion in the FCC Forum in 2022.

Honey is incredibly popular as a food and food ingredient, and honeybees are a critical resource for agriculture and ecological health. Therefore, prevention of honey fraud is a particularly important issue for both the food industry and consumers.

References

  1. Ajibola, A., et al. (June 20, 2012). “Nutraceutical values of natural honey and its contribution to human health and wealth”. Nutr Metab.
  2. Garcia, N. and Schwarzinger, S. (2021). “Food Fraud: A Global Threat With Public Health and Economic Consequences”. Chapter 15 – Honey Fraud. P. 309-334.
Susanne Kuehne, Decernis
Food Fraud Quick Bites

To Bee Or Not To Bee

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

Fake honey is an enormous economical burden on beekeepers and consumers around the world. Adulteration methods are becoming more and more sophisticated. Besides the old-fashioned scams of real honey getting diluted or replaced by syrup, new tricks show up, for example pollen getting blended into syrup, chemical alteration of syrup to confuse tests, fake honey traveling through a number of countries to mask its country of origin, or a combination of these methods. Since the adulterated honey does not pose a risk to consumer’s health, government enforcement to detect and punish honey adulteration has not been very strong. So far, authenticity tests are mostly left to the private sector and the honey industry.

Resource

  1. Copeland, C. (August 26, 2020). “Honey is one of the most faked foods in the world, and the US government isn’t doing much to fix it“. Business Insider.
Vitamins

Revamped Liquid Chromatography Enhances Analysis of Vitamins and Beyond

By Maria Grübner
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Vitamins

Vitamins play a critical role in the regulation of key physiological processes, such as blood clotting, metabolism and maintaining our vision. These biologically important compounds can be divided into two broad classes based on their solubility and differ in the way they are handled in the body—and in food safety laboratories. While excess amounts of water-soluble vitamins (including B1, B2, B3, B6 and B12) are excreted, fat-soluble vitamins (including vitamin A, D, E and K) can be stored in the liver or fatty tissue for later use. The simultaneous analysis of water- and fat-soluble vitamins in traditional liquid chromatography is difficult, and is compounded by the presence of biologically important vitamin isomers, which exist at lower concentrations and demand greater sensitivity from analytical techniques.

Food analysis laboratories support food manufacturers by assessing food safety and authenticity, and have a responsibility to produce precise and reliable data. Vitamins are among a number of compounds assessed in infant formulas, energy drinks and other supplements, and are added to fortify the nutritional value of these products. Given the critical nutritional role of vitamins, especially during early developmental periods, their characterization is highly important. This, along with the challenging and cumbersome nature of vitamin analysis, has spurred the development of innovative high-performance liquid chromatography (HPLC) methods for food safety testing.

Unique Challenges of Vitamin Analysis

The simultaneous analysis of water- and fat-soluble vitamins is difficult to achieve with reversed-phase high-performance liquid chromatography, due to the wide range of hydrophobicity among vitamins. Highly hydrophobic fat-soluble vitamins are retained strongly by chromatography columns and are only eluted with high-strength mobile phases. In contrast, water-soluble vitamins are usually poorly retained, even with very weak mobile phases. As the ideal conditions for chromatographic separation are very different for the two vitamin classes, there have been efforts to explore the possibility of operating two columns sequentially in one system. The early versions of this approach, however, were not well suited to high-throughput food safety laboratories, requiring complex hardware setup and even more complicated chromatography data system programming.

Prior to liquid chromatography analysis, food samples must be purified and concentrated to ensure target analytes can be detected without matrix interference. Liquid-liquid extraction is one purification method used to prepare for the analysis of vitamins and other compounds; it was one of the first methods developed for purification and enables compounds to be separated based on their relative solubilities in two different immiscible liquids.1 It is a simple, flexible and affordable method, yet has several major disadvantages.2 Liquid-liquid extraction consists of multiple tedious steps and requires the use of large volumes, therefore the time for completion is highly dependent on the operator’s skills and experience. Consequently, the duration of sample exposure to unfavorable conditions can vary greatly, which compromises reproducibility and efficiency of the method. This is of concern for vitamins that are particularly prone to degradation and loss when exposed to heat and light, such as vitamin D in milk powder.

Two-Dimensional Liquid Chromatography Enables Deeper and Faster Analysis

Analysts in the food industry are under pressure to process high volumes of samples, and require simple, high-throughput and high-resolution systems. Fortunately, two-dimensional liquid chromatography (2D-LC) systems have evolved markedly in recent years, and are ideally suited for the separation of vitamins and other compounds in food and beverages. There are two main types of systems, known as comprehensive and heart-cutting 2D-LC. In comprehensive 2D-LC, the sample is separated on the first column, as it would be in 1D-LC. The entire eluate is then passed in distinct portions into a second column with a different selectivity, enabling improved separation of closely eluting compounds. In contrast, heart-cutting 2D-LC is more suited to targeted studies as only a selected fraction (heart-cut) of the eluate is transferred to the second-dimension column.

Recently, another novel approach has emerged which utilizes two independent LC flow paths. In dual workflows, each sample is processed by two columns in parallel, which are integrated in a single instrument for ease of use. The columns may offer identical or different analyses to enable a higher throughput or deeper insights on each sample. This approach is highly suited to vitamin analysis, as the two reversed-phase columns enable simultaneous analysis of water- and fat-soluble vitamins. A simple, optimized preparation method is required for each of the two vitamin classes to ensure samples are appropriately filtered and concentrated or diluted, depending on the expected amount of analyte in the sample. The dual approach enables a broad range of ingredients to be assessed concurrently in supplement tablets, energy drinks, and other food and beverages containing both water- and fat-soluble vitamins. For analysts working to validate claims by food vendors, these advances are a welcome change.

Refined Detection and Extraction Methods Create a Boost in Productivity

Analysts in food analysis laboratories now have a better ability to detect a wide range of components in less time, due to improved detection and extraction methods. Modern LC systems utilize a wide range of analytical detectors, including:

  • Mass spectrometry (MS)
  • Diode array detection (DAD)
  • Multi-wavelength detection
  • Charged aerosol detection (CAD)
  • Fluorescence detection (FLD)

The optimal detector technology will depend on the molecular characteristics of the target analyte. Infant formula, for example, can be analyzed by DAD and FLD, with detection and separation powerful enough to accurately quantify the four isomers of vitamin E, and separate vitamin D2 and D3. Highly sensitive 2D-LC methods are also particularly favorable for the trace level quantitation of toxins in food, such as aflatoxins in nuts, grains and spices.

Given the limitations of liquid-liquid extraction, an alternative, simplified approach has been sought for 2D-LC analysis. Liquid-liquid extraction, prior to chromatography analysis, involves many tedious separation steps. In contrast, the use of solid phase extraction for infant formula testing reduces pre-treatment time from three hours to one hour, while improving detection. This is of great significance in the context of enterprise product quality control, where a faster, simpler pre-treatment method translates into a greater capacity of product testing and evaluation.

HPLC Toolkit for Food Safety Analysis Continues to Expand

Several other HPLC approaches have also been utilized in the field of food safety and authentication. For example, ultra-high-performance liquid chromatography (UHPLC) with detection by CAD followed by principal component analysis (PCA) can be used to investigate olive oil purity. In contrast to conventional approaches (fatty acid and sterol analysis), this revised method requires very little time and laboratory resources to complete, enabling companies to significantly reduce costs by implementing in-house purity analysis. With a reduced need for chemicals and solvents compared with fatty acid and sterol analyses, UHPLC-CAD provides a more environmentally friendly alternative.

Analyzing amino acid content in wine is an important aspect of quality control yet requiring derivatization to improve retention and separation of highly hydrophilic amino acids. Derivatization, however, is labor-intensive, error-prone, and involves the handling of toxic chemicals. To overcome these limitations, hydrophilic interaction liquid chromatography (HILIC) combined with mass detection has been identified as an alternative method. While HILIC is an effective technique for the separation of small polar compounds on polar stationary phases, there still may be cases where analytes in complex samples will not be completely separated. The combination of HILIC with MS detection overcomes this challenge, as MS provides another level of selectivity. Modern single quadrupole mass detectors are easy to operate and control, so even users without in-depth MS expertise can enjoy improved accuracy and reproducibility, while skipping derivatization steps.

Conclusion

Recent innovations in 2D- and dual LC technology are well suited to routine vitamin analysis, and the assessment of other components important in food safety evaluation. The concurrent and precise assessment of water- and fat-soluble vitamins, despite their markedly different retention and elution characteristics, is a major step forward for the industry. Drastic improvements in 2D-LC usability, flexibility and sensitivity also allows for biologically important vitamin isomers to be detected at trace levels. A shift towards simpler, high-throughput systems that eliminate complicated assembly processes, derivatization and liquid-liquid extraction saves time and money, while enabling laboratories to produce more reliable results for food manufacturers. In terms of time and solvent savings, solid phase extraction is superior to liquid-liquid extraction and is one of many welcome additions to the food analysis toolkit.

References

  1. Schmidt, A. and Strube, J. (2018). Application and Fundamentals of Liquid-Liquid Extraction Processes: Purification of Biologicals, Botanicals, and Strategic Metals. In John Wiley & Sons, Inc (Ed.), Kirk-Othmer Encyclopedia of Chemical Technology. (pp. 1–52).
  2. Musteata, M. and Musteata, F. (2011). Overview of extraction methods for analysis of vitamin D and its metabolites in biological samples. Bioanalysis, 3(17), 1987–2002.

 

Susanne Kuehne, Decernis
Food Fraud Quick Bites

Le Bordeaux, C’est Si Beau!

By Susanne Kuehne
No Comments
Susanne Kuehne, Decernis
Food fraud, Bordeaux, wine
Find records of fraud such as those discussed in this column and more in the Food Fraud Database.
Image credit: Susanne Kuehne

This kind of lead must weigh heavily on the minds of food and beverage fraudsters. The quantity of lead isotopes and elemental lead can be used to determine the geographic origin and vintage of a wine and therefore determine whether the wine is from a specific location. The isotopic profiles of genuine Bordeaux wines were compared to suspicious bottling. The fake wines were clearly identified to be from different locations and vintages than claimed on the labels.

Resources

  1. Taylor, P. (September 16, 2019). “Lab technique spots fake Bordeaux wines”. Securing Industry.
  2. Epova, E. (January 15, 2020). “Potential of lead elemental and isotopic signatures for authenticity and geographical origin of Bordeaux wines”. Food Chemistry.

 

Karen Everstine, Decernis
Food Fraud Quick Bites

How Food Fraud Happens

By Karen Everstine, Ph.D.
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Karen Everstine, Decernis

The food industry has been hard at work over the past few years implementing food fraud mitigation plans in response to Global Food Safety Initiative (GFSI) certification program requirements. GFSI defines food fraud as:

“A collective term encompassing the deliberate and intentional substitution, addition, tampering or misrepresentation of food, food ingredients or food packaging, labelling, product information or false or misleading statements made about a product for economic gain that could impact consumer health.” (GFSI Benchmarking Requirements, 2017)

GFSI then further defines the terminology of food fraud by citing seven categories (shown in the following diagram).

GFSI, Food Fraud
Used with permission from GFSI

In the Food Fraud Database, we categorize food fraud records using the following terminology (with examples):

  • Dilution/substitution
    • Substitution of an entire fish fillet or partial dilution of olive oil with another oil
  • Artificial enhancement
    • Addition of melamine to artificially increase the apparent protein content of milk or the addition of coloring agents to spices
  • Use of undeclared, unapproved, or banned biocides
    • The use of chloramphenicol in honeybee populations (where not permitted) or the addition of hydrogen peroxide to milk
  • Removal of authentic constituents
    • The sale of “spent” spice powder (used in the production of an oleoresin) as a whole spice powder
  • Misrepresentation of nutritional value
    • Infant formula that does not contain the required nutritional content
  • Fraudulent labeling claims
    • Misrepresentation of label attributes related to production method (organic, kosher, halal, etc.)
  • Formulation of an entirely fraudulent product (using multiple adulterants and methods)
    • The sale of “100% apple juice” that consists of sugar, water, malic acid, flavor, and color
  • Other
    • This includes counterfeits, theft, overruns, etc.

Harmonization of food fraud terminology is frequently discussed, so I thought it might be useful to provide information on how our definitions relate to the GFSI terminology:

GFSI category “Dilution”: This category maps directly to our category dilution/substitution. The reason we combine these into one category is that the intent is the same: To replace the weight or volume of a product. This can occur either through partial or full substitution of a liquid product, a granulated product, or swapping an entire intact product such as a fish filet. One of the GFSI examples for substitution is “sunflower oil partially substituted with mineral oil”, which could just as accurately be described as dilution.

GFSI category “Substitution”: As noted above, this category maps directly to our category dilution/substitution. However, we would not consider the use of hydrolyzed leather protein in milk (one of the cited examples) to be dilution/substitution because it is not used to replace weight or volume. We would view that as artificial enhancement of the protein content of milk.

GFSI category “Concealment”: We do not include a category focused on concealment because all food fraud involves concealing some aspect of the true contents of the food. One of the examples cited in this category is “poultry injected with hormones to conceal disease.” The use of antibiotics, anti-fungal agents or other substances to reduce bacterial load or mask deterioration would be classified, in our system, as the use of undeclared, unapproved or banned biocides. The use of coloring agents on fruit to improve appearance would also be classified as artificial enhancement.

GFSI category “Mislabeling”: Since all food fraud is, to some extent, mislabeling, we reserve the use of the term fraudulent labeling claims to those label attributes that describe production processes (organic, kosher, etc.). With the exception of falsification of expiration dates, the other examples cited would not be classified by us as mislabeling. The sale of Japanese star anise, which is potentially toxic, as Chinese star anise (a different species) is dilution/substitution and a health risk to consumers. The sale of cooking oil that has been recovered from waste streams and illegally produced is also a form of substitution that poses a potential health risk to consumers.

GFSI category “Unapproved enhancements”: This GFSI category aligns nicely with our category artificial enhancement, and both examples cited are nicely illustrative of the concept, which involves the fraudulent addition of a substance specifically for its function (not as a replacement for weight or volume).

GFSI Category “Gray market production/theft/diversion”: The production and sale of food products through unregulated channels would all be classified in our category called other. Because these forms of food fraud involve the sale of food outside of regulatory control, prevention measures will generally be substantially different from the prevention of fraud within legitimate supply chains.

GFSI Category Counterfeiting: This GFSI category is similar to the gray market production/theft/diversion category in that it involves intellectual property infringement and production outside of regulatory control. It would similarly be classified in our other category.

Seafood Analytics CQR

Handheld Reader Detects Freshness of Seafood

By Food Safety Tech Staff
1 Comment
Seafood Analytics CQR
Seafood Analytics CQR
The CQR device from Seafood Analytics measures the freshness and quality of seafood.

How fresh is “fresh”? This is a question that is asked throughout the supply chain as it pertains to seafood. Determining the quality and freshness of seafood has long been an issue in the industry. A handheld screening and data collection device developed by Seafood Analytics uses electrical currents to generate the cellular quality of seafood products.

The CQR device measures how much the cells inside a fish species change over time. Real-time measurements can be taken in different conditions, from catch to freezing, or from catch to consumption. The device can be used throughout the supply chain, including by grocery chains, foodservice distributors, and harvesters and processors. By enabling users to evaluate the quality and freshness of seafood, the CQR device also helps reduce shrink loss, manage inventory, determine inbound supplier selection and set pricing based on quality.

A food company’s supply chain can be the weakest link in their food safety program.  Learn more about how to protect your supply chain at the Food Safety Supply Chain conference | June 5–6, 2017 | Rockville, MDSeafood Analytics is currently developing a Certified Quality Seafood certification that would allow suppliers to promote their seafood. Seafood buyers would be able to locate suppliers that sell high quality seafood that has been measured by the CQR device, and seafood sellers would be able to certify their products through this certification program.