Food Fraud Annual Report 2022 to 2023

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Executive summary

The Canadian Food Inspection Agency (CFIA) is Canada's leading authority on food fraud oversight. This report shares details on how the CFIA's actions prevented nearly 140,000 kg of misrepresented food from being sold in Canada.

Between April 1, 2022 and March 31, 2023, the CFIA conducted a number of activities to prevent, detect and deter food fraud, including:

  • monitoring and analyzing risks, and planning mitigation activities
  • promoting awareness
  • working with international counterparts
  • advancing research and method development
  • targeting surveillance and taking enforcement action where appropriate

Surveillance during this period included inspecting, sampling and testing for authenticity and misrepresentation of fish, honey, meat, olive oil, other expensive oils, spices, grated hard cheese, and fruit juice. We conducted targeted surveillance of these commodities at different types of food businesses, including importers, domestic processors and retailers.

777 targeted samples were collected to detect specific types of misrepresentation through laboratory analysis. Of those, 767 samples were assessed and the following percentages were found to be satisfactory:

  • fish 88%
  • honey 84%
  • meat 98%
  • olive oil 83%
  • other expensive oils 62%
  • spices 86%
  • grated hard cheese 68%
  • fruit juices 90%

New this year, the CFIA also conducted targeted label verifications in the following commodities. The percentage indicates compliant label verification results, noting that some label verification findings related to misrepresentation, while others did not:

  • fish and seafood products 85% (net quantity verification)
  • olive oil 69% (basic food label verification)
  • expensive oils 50% (basic food label verification)
  • spices 86% (basic food label verification)
  • fresh or frozen fruit and vegetables 100% (organic claims)

It is important to note that it would be inaccurate to draw conclusions that food fraud in Canada is on the rise or decline based only on comparing these results to previous years. The state of food fraud in Canada is more complex than that.

For example, we design our surveillance to target high-risk products, using previous findings as well as other sources of intelligence, to increase the likelihood of detecting food misrepresentation. Since we are constantly refining our activities and targeting higher-risk areas, the CFIA's ability to find food misrepresentation, and mitigate the associated risks, is continuously improving. As such, these results are not representative of overall compliance rates within the Canadian marketplace.

Where non-compliance was found, we took control actions and enforcement actions where warranted, guided by the applicable regulations and the CFIA's Standard Regulatory Response Process. As a result of this surveillance, the CFIA took action to prevent misrepresented food from being sold in Canada. This includes lower value food that was labelled as a higher value product or that had its cost inflated due to an inaccurately declared net quantity. These actions directly protected consumers from unfair practices. Control and enforcement actions included removing products from Canada, and detaining, destroying or relabelling products.

Introduction

Food fraud is a priority under the Food Policy for Canada. As part of this initiative, the Canadian Food Inspection Agency (CFIA) addresses food misrepresentation that falls within its statutory mandate through strategies to prevent, detect and deter false, misleading or deceptive practices related to the manufacturing, preparation, labelling, selling, importing or advertising of food. Health Canada works with the CFIA on this initiative. For the purpose of this report, CFIA work on food misrepresentation is referred to as "food fraud."

Food fraud may occur when food is misrepresented. It is an issue that has been identified around the world. In Canada, it is prohibited to sell food in a manner that is false, misleading or deceptive, but such misrepresentation may still occur. Industry is responsible for properly representing and labelling food products and Canadian food laws make it illegal to misrepresent a food. The targeted surveillance activities described in this report are designed to detect whether misrepresentation is occurring.

The CFIA takes food fraud seriously and its oversight activities centre around 3 themes: prevent, detect and deter. This report summarizes the work done under each of these themes and covers the Government of Canada's 2022 to 2023 fiscal year, which was from April 1, 2022 to March 31, 2023. All of the actions described in this report are from that time period unless indicated otherwise.

Prevent

For the purpose of this report, prevention means the CFIA proactively taking measures to avoid the misrepresentation of food that is sold in, or exported from, Canada.

Acts and regulations

Canada continues to be a leader in safe and reputable food, and its regulatory framework is highly regarded internationally. We carry out inspection, sampling, testing and enforcement activities under the following authorities:

Food businesses are responsible for complying with regulatory requirements and the CFIA conducts inspection activities to verify if they are meeting their statutory and regulatory obligations.

Risk intelligence, analysis and program design

As in previous years, we continue to analyze findings and intelligence about misrepresentation risks in Canada and identify suitable activities to mitigate these risks. This program design work is continuous. Key activities include creating situational awareness reports and intelligence reports on meat, dairy and plant-based sweeteners.

Health Canada supports the CFIA by addressing health and safety risks that result from food misrepresentation, and by providing health risk assessments and scientific advice. Health Canada also conducts environmental scanning to gather data on existing and emerging potential health risks relating to food fraud, and shares these with us to inform our risk management approaches.

This year, the CFIA and Health Canada combined their situational awareness and environmental scanning work, allowing us to draw on expertise and data sources from both organizations. The information we gathered helped to identify priority areas of focus for monitoring and enforcement. This helps us to address the areas of highest risk for Canadian consumers.

You can find more information on the contributions of other government departments, such as Health Canada or the Canadian Border Services Agency in the Federal Government section of last year's Food Fraud Annual Report.

Promoting awareness

This year, we focused on raising awareness and increasing understanding with consumers and industry, in these areas:

  • what food fraud is
  • what their roles are in detecting and preventing it
  • how to report a concern

Social media

We posted on Facebook, X (formerly known as Twitter), Instagram and LinkedIn to share information and build awareness about food fraud. We put up 80 posts about food fraud on our social media channels. The posts received 478,377 impressions (impressions means the number of times the post was displayed to users) and 16,253 engagements (such as likes, shares, comments and clicks).

Videos and podcasts

This year, we released the 3rd video in our food fraud series, Putting fish DNA to the test. It highlights our work to detect fish species substitution and mislabelling using DNA testing. The web version received more than 700 page views and the social media version of the video had over 4,000 views. We also posted a short video on social media explaining how we tackle food fraud. It received over 11,000 views.

We also hosted and participated in podcasts about honey adulteration. The First Sixteen Podcast invited CFIA Chemist Jonathan Haché to discuss food fraud and honey authenticity testing. This podcast received more than 600 listens. Our Inspect and Protect English podcast discussed honey adulteration with Jake Berg, a Saskatchewanian beekeeper, and Carmen Leung, a policy and program leader at the CFIA. The French podcast featured Scott Plante, a Quebec beekeeper, and Alia'a Ghiba, a policy manager at the CFIA. These podcasts received more than 900 listens.

Advertising campaign

From January 10 to February 6, an advertising campaign appeared on screens in shopping centres, grocery stores, convenience stores, and food courts in various locations across Canada. The aim was to raise awareness about food fraud and how to report it. The ad received more than 51.5 million impressions (that is, the number of times people had the opportunity to view the ad).

Web improvements and performance

This year we implemented updates to our website to make food fraud content easier to find and use. This included creating a new topic page and making food fraud more visible on our website. Over the course of the fiscal year this new food fraud web page received 8,317 visits. CFIA web content related to food fraud received more than 43,000 visits this fiscal year, an increase of approximately 18,000 visits over the previous year.

Media outreach

In February, we launched a media outreach campaign aimed at informing Canadian consumers about the impact of food fraud, as well as what they can do if they suspect their food is misrepresented. These radio spots were picked up by 53 media outlets and reached approximately 1.89 million people.

Media monitoring

As part of our research and analysis, we regularly conduct media monitoring on food fraud to verify accuracy of reporting by news outlets. This research allows us to better understand the needs and concerns of consumers and industry so that we can improve programs and services.

Compliance promotion

We promote compliance with food regulatory requirements by actively engaging with industry stakeholders, associations, regulated parties, academia and federal, provincial and territorial partners. This year we conducted or supported 30 external engagement sessions with various parties regarding what we are doing to prevent, detect and deter food fraud. We also talked about the roles of other players and potential areas for collaboration.

We also published an updated Notice to Industry (Honey) to clarify the techniques used at the CFIA to detect adulteration of honey with foreign sugars.

International collaboration

To promote transparency and collaboration with foreign counterparts, we increased our engagement with foreign competent authorities to share information and follow up on non-compliances and potential food fraud issues associated with imported products. Before publication of last year's annual report, we reached out to 6 different countries to share more details on 37 non-compliance issues. This allowed us to provide advance notice of the report's findings and gave us an opportunity to follow up. We made similar endeavours as we prepared this report.

We continue to work closely with like-minded foreign competent authorities and met on several occasions to discuss food fraud, organic regimes and traceability. We exchanged information on findings, plans and priorities.

Specialists delivered 5 technical seminars to foreign trading partners from the Indo-Pacific region and the Americas about the Canadian Organic Regime and the CFIA's approach to prevent and control food fraud. This outreach fosters international collaboration in addressing food fraud and promotes compliance of imported foods with Canadian composition and labelling requirements.

We continue to actively participate in the food fraud electronic working group of the Codex Committee on Food Import and Export Inspection and Certification Systems. This working group develops new international guidelines to prevent and control food fraud.

We presented to the United States Pharmacopeia (USP) on the CFIA's food fraud initiative. Health Canada and the CFIA also had productive discussions concerning potential collaboration with USP expert panels such as the Honey Expert Panel and Olive Oil Authenticity and Quality Expert Panel.

Detect

For the purpose of this report, detect means the active determination of food fraud occurring.

The CFIA detects food fraud through activities such as these:

  • inspecting
  • reviewing documentation and records
  • conducting label verifications
  • doing net quantity verifications
  • taking food sampling
  • testing

Methodology research and development

The CFIA and Health Canada continue our work to develop new analytical methods of detecting food fraud and product misrepresentation. We are also improving current methods.

This year, research continued on these areas:

  • meat speciation: enhancing the ability to identify and quantify meat species adulteration/substitution in cooked and uncooked products using a DNA based analytical protocol
  • tuna speciation: method development and validation of DNA barcoding for tuna species
  • vanilla authenticity: updating and validating the liquid chromatography and stable isotope ratio analysis methods to differentiate between synthetic and natural vanilla extracts, including adulteration of natural vanilla extract with artificial extract

Each year, the CFIA identifies gaps in available techniques to detect food fraud, often related to emerging issues, and develops research needs and priorities. This year, research began on:

  • high-value oils: expanding the capacity for testing and evaluating additional high-value oils for authenticity and origin

Initially reported in the Food Fraud Annual Report 2021 to 2022, Health Canada continues to lead 2 multi-year research projects to develop methods using proteomics in combination with bioinformatics and small-molecule analysis in combination with chemometrics for food authenticity:

  • a proteomics project with the initial focus on ground spices
  • a small-molecule chemometrics project for beverage authentication

The proteomics project on ground spices has progressed and specific peptide markers for saffron and typical adulterants were determined. This was developed into a method for saffron analysis. Validation of this method is complete. Work on non-targeted methods also continues and spectral libraries for one type of saffron and known adulterants are complete. Work will continue to increase the robustness of the non-targeted methods.

The small-molecule chemometrics project has also progressed and method development to determine pomegranate juice authenticity continues. Specific markers for grape, apple and pear juice have been determined and are being used to develop a targeted method for pomegranate juice authenticity.

Health Canada also began work on proteomic tools to test for authenticity with a focus on plant-based protein sources.

Verifying organic products

Anyone who suspects a violation of the Canada Organic Regime (COR) such as fraudulent organic claims or activities may contact the CFIA to submit a complaint.

This year, the CFIA's COR team received 26 complaints:

  • 24 were against operators holding certification under the COR scope
  • 1 was against a CFIA-accredited Certification Body
  • 1 was against a former organic product certificate holder

Of the 26 complaints received, we have successfully resolved 16 and we are still evaluating the remaining 10 complaints.

As reported in the Food Fraud Annual Report 2021 to 2022, we continue to update the Automated Import Reference System (AIRS) to capture more information about how organic products are entering Canada. This will also allow for more efficient validation of organic certificates at the time of import. We will notify importers once all import requirements are incorporated into AIRS. After that, importers of organic food commodities will be required to submit a digital copy of the organic product certificate when declaring organic products online, using the Integrated Import Declaration system. For continued updates on this work, refer to Canada Organic Regime Import Requirements.

The CFIA conducted 19 label verifications of organic claims made on organic fresh or frozen fruit and vegetables. Results indicated a 100% compliance rate.

  • There were 10 organic products of domestic origin inspected including eggplant, bell peppers, tomatoes, green peas, cauliflower, corn, edamame beans and enoki mushrooms.
  • There were 9 organic imported products inspected including blackberries, yellow potatoes, red grapes, blueberries, frozen mango, sweet peppers and sweet potatoes.

CFIA-accredited Certification Bodies conducted additional activities including certification and other forms of oversight under the Canada Organic Regime. Such activities included label and documentation reviews, as well as on-site and unannounced inspections.

Surveillance: inspection, sampling, testing, and results

The test results summarized in this report are for sampling that is targeted at areas of higher risk. This means that they are not representative of overall compliance rates within the Canadian marketplace.

Risk factors that the CFIA considers include history of non-compliance, unusual trading patterns and gaps in preventive controls.

We conducted surveillance to detect food misrepresentation in the following commodities:

  • fish species substitution (when higher value species are replaced with less expensive species) and short weight (when the product weighs less than declared)
  • honey adulterated with added sugars
  • meat species substituted with other species that are not declared, usually of lesser value
  • olive oil adulterated with lower value oils
  • other expensive oils substituted or diluted with lower value oils
  • single ingredient ground spices adulterated or diluted by the addition of bulking agents, colours or dyes, and other non-permitted ingredients
  • grated hard cheese adulterated with anticaking agents above permitted levels
  • fruit juices substituted or diluted with lower value juices, water, or the addition of foreign sugars or acids

We design our food fraud surveillance to target high-risk products, using previous findings to increase the likelihood of detecting food misrepresentation. For example, the current food fraud report found that 88% of fish tested was satisfactory and did not indicate species substitution versus 92.7% the year before. This does not necessarily mean there is now more misrepresentation of fish species in Canada. It can also be an indication that we are better at finding it. Results reflect targeted sampling as opposed to more general monitoring, so they are not representative of overall compliance in the Canadian marketplace.

We track, monitor and analyze the data and results of our food misrepresentation work from year to year. Based on this year's and previous years' results, as well as other sources of intelligence, we continue to refine our food fraud activities to effectively mitigate these risks.

Results at a glance infographic. Description follows
Description of results at a glance infographic

A total of 767 targeted samples assessed for authenticity amongst 6 commodities:

  • Fish: 88% satisfactory
  • Honey: 84% satisfactory
  • Meat: 98% satisfactory
  • Olive oil: 83% satisfactory
  • Other expensive oils: 62% satisfactory
  • Spices: 86% satisfactory
  • Grated hard cheese: 68% satisfactory
  • Fruit juices: 90%

CFIA took appropriate action when it found non-compliance.

Results are rounded to the nearest whole number.

As a result of this surveillance, the CFIA prevented nearly 140,000 kg of misrepresented food from being sold in Canada. This includes lower value food that was labelled as a higher value product or with its cost inflated due to a lower amount of food in the package than declared in the net quantity, for example. The activities outlined above directly protected consumers from unfair practices.

These samples were selected as areas of focus for this report, but do not represent the totality of the CFIA's testing activities. Each year, in addition to sampling and testing for food fraud, the CFIA conducts tens of thousands of tests under various surveillance programs to detect allergens, chemical hazards, and microbiological hazards. Reports detailing the results of food safety surveillance activities in Canada are also published.

Surveillance that we did in previous years is summarized in these reports:

Results by commodity

Fish

Fish species substitution testing

We conducted surveillance sampling to detect fish species substitution (this means when higher value species are replaced with less expensive species).

Methodology: DNA barcoding to identify fish species and compare with the species associated with the declared common name, according to the CFIA Fish List

Sample type: Prepackaged fish filets in fresh, frozen, dried, or salted format. Species most likely to be substituted: cod, halibut, kingfish, mackerel, pollock, sea bass, snapper (red and other), sole, tuna and yellowtail. Also sampled other types of fish suspected to be substituted or mislabelled

Where sampling occurred: Domestic processors, importers and retailers

Figure 1: Results from sampling to detect fish species substitution
Results from sampling to detect fish species substitution

88 percent of the samples for fish were satisfactory (43 out of 49) and 12 percent were unsatisfactory (6 out of 49). Results are rounded to the nearest whole number.

6 additional samples were taken but given no decision. Those samples could not be assessed because a DNA barcode could not be generated for various reasons (for example, due to DNA degradation or fish cross-contamination).

Figure 2: Number of unsatisfactory samples by fish species common name declared on the label
Unsatisfactory samples by fish species common name
  • Snapper: 1 out of 1 sample was unsatisfactory
  • Pacific snapper: 1 out of 1 sample was unsatisfactory
  • Cod: 1 out of 12 samples was unsatisfactory
  • Pacific cod: 1 out of 3 samples was unsatisfactory
  • Sea bass: 2 out of 2 samples were unsatisfactory

The remaining 30 samples were compliant and included 17 other fish species such as albacore tuna, Atlantic cod, halibut, Pacific halibut and sole.

Figure 3: Number of unsatisfactory fish samples by location where the sample was taken
Number of unsatisfactory fish samples by location where the sample was taken
  • Domestic processors: zero out of 5 samples was unsatisfactory
  • Importers: 1 out of 15 samples was unsatisfactory
  • Retailers: 5 out of 29 samples were unsatisfactory

Of the 6 fish samples that were unsatisfactory for fish species common name declared on the label, these were the declared origin or foreign state of origin:

  • Canada (1 snapper and 1 Pacific cod)
  • China (1 cod)
  • Chile (1 sea bass)
  • Greece (1 sea bass)
  • origin not declared (1 Pacific snapper)

It is mandatory to declare the country of origin on the label of imported prepackaged fish. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Sampling at retail was conducted on fish that are prepared, packaged and labelled by retail establishments.

Label verification – Net quantity

We also conducted 54 net quantity verifications on fish and seafood at importers, domestic processors and retailers to determine the accuracy of the net weight declared on the label.

Fish and seafood can be uniquely vulnerable to net quantity violations due to a combination of its high value and the opportunity for the excessive use of ice or water, which can lead to an increased declared net weight. However, the net weight of fish and seafood is required to be declared without including the weight of any ice or water. If it is included, the financial impact can be significant, as the business is charging for the value of the fish, but is providing water instead. For these reasons, as well as based on other intelligence provided through environmental scanning, we prioritized fish and seafood for net quantity verification this year.

Figure 4: Results from net quantity verification of fish and seafood
Results from net quantity verification of fish and seafood

85 percent of the results were compliant (46 out of 54) and 15 percent were non-compliant (8 out of 54). Results are rounded to the nearest whole number.

Of the 8 fish and seafood samples that declared a non-compliant net quantity:

  • 2 were imported products that were prepackaged in a foreign state (1 basa fillet, 1 smoked salmon)
  • 3 were imported products that were packaged and labelled at retail (2 shrimp, 1 scallop)
  • 1 was imported bulk product that was found at retail (1 crab cluster)
  • 2 were from domestic processors (1 lobster, 1 smoked Atlantic salmon)

Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during packaging/repackaging or labelling), so a non-compliant result may not always mean there is an issue in the place of origin or the place of sampling.

Enforcement actions

As a result of the fish species substitution surveillance testing and net quantity label verification, the CFIA took the following actions:

  • We detained 1,785 cases of fish, which were returned to the country of origin.
  • 4,532 kg of lobster were permitted to be relabelled with the accurate net quantity.
  • We issued requests for corrective action and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for Fish.

Honey

Honey testing for adulteration with foreign sugars

We conducted surveillance sampling to detect misrepresentation of honey adulterated with foreign sugars (such as those derived from sugar cane, corn syrups or rice syrups) in both domestic and imported honey sold in Canada.

Methodology

  • Detection of C4 and C3 sugars by nuclear magnetic resonance (NMR)
  • Detection of C4 sugars by stable isotope ratio analysis (SIRA)

Sample type: Prepackaged or bulk honey or blends of honey from multiple sources

Where sampling occurred: Domestic processors and importers

Figure 5: Results from sampling to detect honey adulteration with foreign sugars
Results from sampling to detect honey adulteration with foreign sugars

84 percent of the results were satisfactory (69 out of 82) and 16 percent were unsatisfactory (13 out of 82). Results are rounded to the nearest whole number.

Figure 6: Number of unsatisfactory honey samples by location where the sample was taken
Number of unsatisfactory honey samples by location where the sample was taken
  • Domestic processors: zero out of 20 samples were unsatisfactory
  • Importers: 13 out of 62 samples were unsatisfactory

Of the 13 honey samples that were unsatisfactory for the presence of foreign sugars, these were the declared origin or foreign state of origin:

  • Greece (1)
  • India (7)
  • Islamic Republic of Iran (2)
  • Kingdom of Saudi Arabia (1)
  • Tanzania (1)
  • Republic of Türkiye (1)

It is mandatory to declare the country of origin on the label of honey. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Enforcement actions

As a result of this surveillance testing, the CFIA took the following actions:

  • We detained 89,774 kg of honey. Of this,1,528 kg were voluntarily destroyed and 4,440 kg were removed from Canada. We continue to follow up on the amount remaining under detention.
  • We issued 4 letters of non-compliance.
  • We also issued inspection reports, including requests for corrective action, and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for Honey.

Meat

Meat species substitution testing

We conducted surveillance sampling to detect substitution of meat species (typically with lesser value species than what is declared) in raw and heat treated, domestic and imported meat sold in Canada.

Methodology: Enzyme-linked immunosorbent assay (ELISA) that detects species specific antibodies

Sample type: Raw and ready-to-eat meat products ground or cut up (comminuted) to a degree that the species cannot be determined by eyesight

Where sampling occurred: Domestic processors, importers and retailers

Figure 7: Results from sampling to detect meat species substitution
Results from sampling to detect meat species substitution

98 percent of the results were satisfactory (133 out of 136) and 2 percent were unsatisfactory (3 out of 136). Results are rounded to the nearest whole number.

Four additional meat samples were taken but given no decision. These samples could not be assessed because the way the product was processed might interfere with the testing, the sample submission was missing required information or the sample was sent to the incorrect laboratory for analysis.

Figure 8: Number of unsatisfactory samples by meat species common name declared on the label
Unsatisfactory samples by meat species common name
  • Ground beef: 1 out of 25 samples was unsatisfactory
  • Ground pork: 2 out of 9 samples were unsatisfactory

The remaining 101 samples were compliant and included different raw and ready-to-eat meat products such as deli meat, hamburger patties, meat cannelloni and sausage.

Figure 9: Number of unsatisfactory meat samples by location where the sample was taken
Number of unsatisfactory meat samples by location where the sample was taken
  • Domestic processors: zero out of 74 samples were unsatisfactory
  • Importers: zero out of 34 samples were unsatisfactory
  • Retailers: 3 out of 28 samples were unsatisfactory

All 3 meat samples that were unsatisfactory for meat species common name declared on the label were manufactured or prepared in Canada. It is mandatory to declare the country of origin on the label of imported meat products, except if the meat is further manufactured or prepared in Canada. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Sampling at retail was conducted on meat products that are prepared, packaged and labelled by retail establishments.

Enforcement actions

Root cause analysis determined that the unsatisfactory results appear to be due to unintentional cross-contamination. We followed up on the corrective action taken by retailers and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for Meat.

Olive oil

Olive oil testing for adulteration

We conducted surveillance sampling to detect misrepresentation of olive oil adulterated with lower value oils, including misrepresentation of claims such as "extra virgin", "virgin", "cold pressed" or "unrefined".

Methodology: Gas chromatography to assess sterol and fatty acid profile, as well as stigmastadiene content

Sample type:

  • Extra virgin oil
  • Virgin olive oil
  • Olive oil composed of refined/extra virgin olive oils

Where sampling occurred: Importers, domestic blenders, packers or bottlers and bulk oil distributors

Figure 10: Results from sampling to detect olive oil adulteration
Results from sampling to detect olive oil adulteration

83 percent of the results were satisfactory (55 out of 66) and 17 percent were unsatisfactory (11 out of 66). Results are rounded to the nearest whole number.

Figure 11: Number of unsatisfactory samples by type of olive oil declared on the label
Number of unsatisfactory samples by type of olive oil declared on the label
  • Olive oil: zero out of 4 samples were unsatisfactory
  • Virgin olive oil: 2 out of 4 samples were unsatisfactory
  • Extra virgin olive oil: 9 out of 58 samples were unsatisfactory

Of the 11 olive oil samples that were unsatisfactory, indicating adulteration, these were the declared origin or dealer locations:

  • People's Democratic Republic of Algeria (1 virgin olive oil)
  • Canada (1 extra virgin olive oil)
  • Greece (3 extra virgin olive oils)
  • Italy (3 extra virgin olive oils)
  • Japan (1 extra virgin olive oil),
  • Morocco (1 extra virgin olive oil)
  • Syrian Arab Republic (1 virgin olive oil)

It is not mandatory to declare the country of origin on the label of olive oil. However, a company may choose to voluntarily declare the country of origin on the label, provided it is truthful and not misleading. Where the country of origin was not declared and documentation to support the country of origin was not provided through the course of inspection, the dealer location provided on the label has been used in this report. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Basic label verification

We also conducted 13 label verifications of olive oils at importers and domestic packagers and labellers to determine compliance to legislative requirements including mandatory labelling, composition, claims and country of origin declared on the label. The results indicated that 9 (69%) label verifications were compliant, while 4 (31%) were non-compliant. One non-compliance was directly related to a claim resulting in misrepresentation of the product. We also found 3 other labelling non-compliances that were not directly related to misrepresentation, such as mandatory information not shown in both official languages and infractions in the Nutrition Facts table.

Enforcement actions

As a result of this surveillance testing and label verification, the CFIA took the following actions:

  • we detained 728.5 L of olive oil. Of those, 203.5 L were voluntarily destroyed and we continue to follow up on the amount remaining under detention.
  • We issued 2 letters of non-compliance.
  • We also issued inspection reports, including requests for corrective action, and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for Oils.

Other expensive oils

Other expensive oils testing for adulteration

We conducted surveillance sampling to detect substitution or dilution of expensive oils adulterated with lower value oils, including misrepresentation of claims such as "extra virgin", "virgin", "cold pressed" or "unrefined"

Methodology: Gas chromatography to assess sterol and fatty acid profile, as well as stigmastadiene content

Sample type:

  • Almond oil
  • Avocado oil
  • Coconut oil
  • Flaxseed oil
  • Grapeseed oil
  • Hazelnut oil
  • Sesame seed oil
  • Sunflower oil
  • Walnut oil

Where sampling occurred: Importers, domestic blenders, packers or bottlers and bulk oil distributors

Figure 12: Results from sampling to detect expensive oils adulteration
Results from sampling to detect expensive oils adulteration

62 percent of the results were satisfactory (50 out of 81) and 38 percent were unsatisfactory (31 out of 81). Results are rounded to the nearest whole number.

Figure 13: Number of unsatisfactory samples by source of oil declared on the label
Number of unsatisfactory samples by source of oil declared on the label
  • Almond oil: 1 out of 6 samples was unsatisfactory
  • Avocado oil: 3 out of 8 samples were unsatisfactory
  • Coconut oil: 13 out of 21 samples were unsatisfactory
  • Flaxseed oil: 3 out of 7 samples were unsatisfactory
  • Grapeseed oil: 6 out of 9 samples were unsatisfactory
  • Hazelnut oil: 1 out of 3 samples was unsatisfactory
  • Sesame oil: 4 out of 22 samples were unsatisfactory

The remaining 5 samples were compliant and included the following types of oil: sunflower and walnut.

Of the 31 expensive oil samples that were unsatisfactory, indicating adulteration, these were the declared origin or dealer locations:

  • Canada (3 flaxseed oils, 1 coconut oil)
  • Dominican Republic (1 coconut oil)
  • France (1 grapeseed oil, 1 hazelnut oil and 1 sesame oil)
  • India (2 coconut oils)
  • Italy (2 grapeseed oils)
  • Mexico (1 avocado oil, 1 coconut oil and 2 sesame oils)
  • Pakistan (1 almond oil and 1 sesame oil)
  • Philippines (6 coconut oils)
  • Spain (2 avocado oils, 3 grapeseed oils)
  • Sri Lanka (2 coconut oils)

It is not mandatory to declare the country of origin on the label of expensive oils. However, a company may choose to voluntarily declare the country of origin on the label, provided it is truthful and not misleading. Where the country of origin was not declared and documentation to support the country of origin was not provided through the course of inspection, the dealer location provided on the label has been used in this report. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Basic label verification

We also conducted 8 label verifications of expensive oils at importers and domestic processors, packagers and labellers to determine compliance to legislative requirements including mandatory labelling, composition, claims and country of origin declared on the label. The results indicated that 4 (50%) label verifications were compliant, while 4 (50%) were non-compliant. Two non-compliances directly related to misrepresentation: 1 involving the common name declared and the other, a false claim on the label. The other 2 non-compliances were not directly related to misrepresentation, such as mandatory information not shown in both official languages and infractions in the Nutrition Facts table.

Enforcement actions

As a result of this surveillance testing and label verification, the CFIA took the following actions:

  • We detained 28,315 L of expensive oils. Of these, 27,649 L were removed from Canada and 666.2 L were destroyed. We continue to follow up on the amount remaining under detention.
  • We also detained 257 cases of another expensive oil.
  • 31 cases and 41.5 L of non-compliant product was also voluntarily destroyed.
  • We issued 4 letters of non-compliance.
  • We also issued inspection reports, including requests for corrective action, and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for Oils.

Spices

Spices testing for adulteration

We conducted surveillance sampling to detect adulteration or dilution of single ingredient ground spices by the addition of bulking agents, dyes and other unpermitted ingredients (for example: undeclared allergens, unpermitted chemicals, colours or dyes).

Methodology: Depending on the spice, we used:

  • determination of water soluble dyes by high performance liquid chromatography (HPLC)
  • determination of lead and chromate by inductively coupled plasma mass spectrometry (ICP-MS)
  • allergen testing

Sample type: Cinnamon, coriander, cumin, paprika, black pepper, white pepper, turmeric (single ingredient ground spices)

Where sampling occurred: Importers and domestic regulated parties

Figure 14: Results from sampling to detect spices adulteration
Results from sampling to detect spices adulteration
  • 86 percent of the samples were satisfactory (254 out of 294)
  • 9 percent of the samples were unsatisfactory (25 out of 294)
  • 5 percent of the samples were investigative (15 out of 294)

Results are rounded to the nearest whole number.

Samples of spices were assessed as investigative when either peanut or gluten protein was detected and the package included a precautionary statement, or when the presence of colouring agents was detected at levels that may indicate adulteration. In these cases, further inspection of the regulated party's preventive controls may have been necessary.

Figure 15: Number of unsatisfactory samples by the spice declared on the label
Number of unsatisfactory samples by the spice declared on the label
  • Black pepper: 2 out of 48 samples were unsatisfactory, 1 was investigative
  • Coriander: 5 out of 34 samples were unsatisfactory, 11 were investigative
  • Cumin: 15 out of 53 samples were unsatisfactory, 2 were investigative
  • Turmeric: 2 out of 56 samples were unsatisfactory, 1 was investigative
  • White pepper: 1 out of 19 samples was unsatisfactory, zero were investigative

The remaining 84 samples were compliant and included the following spices: cinnamon and paprika.

Of the 25 spice samples that were unsatisfactory, indicating substitution or adulteration, these were the declared origin or dealer locations:

  • Bangladesh (1 cumin)
  • Canada (2 coriander)
  • China (3 cumin)
  • India (3 coriander and 9 cumin)
  • Islamic Republic of Iran (1 black pepper and 1 turmeric)
  • Netherlands (1 cumin)
  • United States (1 cumin and 1 turmeric)
  • Vietnam (1 black and 1 white pepper)

It is not mandatory to declare the country of origin on the label of spices. However, a company may choose to voluntarily declare the country of origin on the label, provided it is truthful and not misleading. Where the country of origin was not declared and documentation to support the country of origin was not provided through the course of inspection, the dealer location provided on the label has been used in this report. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Basic label verification

We also conducted 64 label verifications of spices at importers and domestic processors, packagers and labellers to determine compliance to legislative requirements including mandatory labelling, composition, claims and country of origin declared on the label. The results indicated that 55 (86%) label verifications were compliant, while 9 (14%) were non-compliant. Of the 9 non-compliant results, 2 were connected to unsatisfactory lab results related to the presence of allergens (gluten or peanuts) without a precautionary statement on the label. The 7 other non-compliances were related to other missing information, such as mandatory information on the label not shown in both official languages and other missing mandatory information (for example, net quantity, lot code or dealer name and address).

For non-compliance related to the presence of allergens or colours, we assessed and mitigated potential health risks, as necessary.

Enforcement actions

As a result of this surveillance testing and label verification, the CFIA took the following actions:

  • 1,197 kg of spices were voluntarily destroyed.
  • We issued 5 letters of non-compliance.
  • Root cause analysis determined that 22 of the 25 unsatisfactory surveillance testing results appear to be related to unintentional cross-contamination in the field or in the processing facility, rather than intentional addition of a bulking agent. Following confirmation of the root cause of the non-compliance, some of the products were permitted to be relabelled as part of the regulated party's corrective action plan (for example, adding a precautionary statement or removing a gluten-free claim).
  • We also issued inspection reports, including requests for corrective action, and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for Spices.

Grated hard cheese

Grated hard cheese testing for adulteration

We conducted surveillance sampling of grated hard cheese to detect excess use of anti-caking agents (for example, cellulose, which is a food additive). When present beyond levels permitted in the legislation, these anti-caking agents could be present as fillers and could then be considered adulterants. This practice can result in financial impacts: a loss to consumers who end up paying the price of cheese for excess anti-caking agents, and a gain for businesses engaging in this practice.

Methodology: Determination of total dietary fibre by the rapid enzymatic-gravimetric method

Sample type:

  • Parmesan
  • Romano
  • Asiago
  • Grana Padano
  • Manchego
  • Blends of the above

Where sampling occurred: Domestic processors and importers

Figure 16: Results from sampling to detect grated hard cheese adulteration
Results from sampling to detect grated hard cheese adulteration

68 percent of the results were satisfactory (13 out of 19) and 32 percent were unsatisfactory (6 out of 19). Results are rounded to the nearest whole number.

All unsatisfactory grated hard cheese samples were declared as Parmesan on the label. The satisfactory samples included the following types of cheese: Asiago, Grana Padano, Parmesan and Romano.

Health Canada did not identify a food safety concern with the levels of cellulose in grated hard cheese that were found in the unsatisfactory samples.

Of the 6 grated hard cheese samples that were unsatisfactory, indicating excess use of anti-caking agents, the declared origin was Canada. It is mandatory to declare the country of origin on the label of imported prepackaged dairy products. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Enforcement actions

As a result of this surveillance testing, the CFIA took the following actions:

  • We issued inspection reports and took appropriate actions, including issuing letters of non-compliance and requesting corrective actions.
  • We continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for grated hard cheese.

Fruit juices

Fruit juice testing for adulteration

We conducted surveillance sampling to detect adulteration of fruit juices. Adulteration of fruit juice can occur when foreign sugars or acids are added, the juice is diluted with water, or some of it is substituted with less expensive juice(s).

Methodology: Chemical characterization of fruit juices by determination of:

  • soluble solids by refractometer
  • minerals by inductively coupled plasma (ICP) spectrometry
  • organic acids and preservatives by HPLC
  • sugars by ultra-performance liquid chromatography (UPLC)
  • delta 13C by cavity ring-down spectroscopy (CRDS)
  • d-malic acid by enzymatic assay (for apple and pomegranate juice)

Sample type: Fruit juices, not including blends of juices, or "cocktail" or "drink" mixes with added sugar, water or flavour

Where sampling occurred: Domestic processors and importers

Figure 17: Results from sampling to detect fruit juices adulteration
Results from sampling to detect fruit juices adulteration

90 percent of the results were satisfactory (36 out of 40) and 10 percent were unsatisfactory (4 out of 40). Results are rounded to the nearest whole number.

Figure 18: Number of unsatisfactory samples by the fruit juice declared on the label
Number of unsatisfactory samples by the fruit juice declared on the label
  • Cranberry juice: 1 out of 3 samples was unsatisfactory
  • Lemon juice: 1 out of 10 samples was unsatisfactory
  • Lime juice: 1 out of 5 samples was unsatisfactory
  • Grape juice: 1 out of 3 samples was unsatisfactory

The remaining 19 samples were compliant and included the following types of juice: clementine, grapefruit, pineapple and white grape.

Figure 19: Number of unsatisfactory fruit juice samples by location where the sample was taken
Number of unsatisfactory fruit juice samples by location
  • Domestic processors: 1 out of 10 samples was unsatisfactory
  • Importers: 3 out of 30 samples were unsatisfactory

Of the 4 fruit juice samples that were unsatisfactory, indicating adulteration, these were the declared origin or foreign state of origin:

  • Canada (1 cranberry juice)
  • India (1 lemon juice)
  • Islamic Republic of Iran (1 lime juice)
  • United States (1 grape juice)

It is mandatory to declare the country of origin on the label of imported prepackaged fruit juice. Practices leading to non-compliance may have occurred at various points of the supply chain (for example, during processing, packaging/repackaging), so an unsatisfactory result may not always mean there is an issue in the place of origin or the place of sampling.

Enforcement actions

As a result of this surveillance testing, the CFIA took the following actions:

  • We detained 13,923 L of fruit juice.
  • We issued 1 letter of non-compliance.
  • We also issued inspection reports, including requests for corrective action, and we continue to follow up on cases of non-compliance where necessary.

View the results on the Open Government Portal for fruit juices.

Deter

For the purpose of this report, deterring means mitigating a detected non-compliance through enforcement action. It also means deterring future non-compliance, by actions such as publishing the results of enforcement activities.

Enforcement

Regulated parties are reminded of their obligations to comply with regulatory requirements. In cases of non-compliance, enforcement actions are guided by the Standard Regulatory Response Process and are considered on a case-by-case basis. The CFIA takes into consideration the harm caused by the non-compliance, the compliance history of the regulated party and whether there is intent to violate federal requirements or negligence.

The CFIA publishes the outcome of a number of compliance and enforcement activities, including those related to misrepresentation. We do this as part of our commitment to openness and transparency, as well as to deter non-compliance.

In the 2022-23 fiscal year, the CFIA prevented a total of 2,042 cases, 89,774 kg and 42,966.5 L of misrepresented food from being sold in Canada. These detentions resulted in product being removed from Canada or voluntarily destroyed. We also issued 17 letters of non-compliance for violations summarized in this report.

We followed up on non-compliant samples to determine where the misrepresentation occurred in the supply chain, and continue to follow up on cases of non-compliance where necessary.

For more detailed compliance and enforcement information for each commodity, refer to Surveillance: inspection, sampling, testing, and results.

We also publish reports of Administrative Monetary Penalties (AMPs) on the CFIA website. In 2022 to 2023, we issued 47 AMPs valued at $330,000 for violations under the Safe Food for Canadians Act or its regulations. This included some related to misrepresentation. It is important to note that certain enforcement actions (such as AMPs and prosecutions) often span several years before there is an ultimate resolution.

In July 2020, the CFIA issued a Notice of Violation to a company, for contravening subsection 6(1) of the Safe Food for Canadians Act (SFCA). This subsection prohibits a person to manufacture, prepare, package, label, sell, import or advertise a food commodity in a manner that is false, misleading or deceptive or is likely to create an erroneous impression regarding its character, quality, value, quantity, composition, merit, safety or origin or the method of its manufacture or preparation.

Bottles labelled as Extra Virgin Olive Oil had been imported and sold, and during subsequent testing by the CFIA were found to contain refined vegetable oil. The alleged violator challenged the veracity and accuracy of the testing the CFIA did to confirm the oil's composition, and denied that they committed the violation.

The alleged violator exercised their right to request that the Notice of Violation be reviewed by the independent Canada Agricultural Review Tribunal. In March 2023, the tribunal upheld the violation, and ordered the company to pay an $8,000 fine. This was the first SFCA violation that was appealed and upheld by the tribunal.

Prosecutions: charges and convictions

In July 2022, the CFIA laid charges against one company for offences under the Food and Drugs Act, including one charge related to food misrepresentation:

We also published one conviction related to food misrepresentation:

Next steps

We will use the results of the sampling and testing outlined in this report to inform future work to prevent, detect and deter food fraud. Such work will include improved risk-based program design, surveillance activities, compliance promotion and enhanced enforcement.

Misrepresentation can occur in various forms across a wide range of foods. Combatting food fraud in Canada is a shared role of government, industry and consumers. The 2023 to 2024 Departmental Plan outlines our plan for fighting food fraud in the next year. We will also continue to monitor and adjust to emerging information.