Today FDA released the results of its yearly report on pesticide residues, and the good news is that of the 6504 samples taken, most of them were below EPA tolerance levels. As part of the Pesticide Residue Monitoring Program for FY 2017, FDA tested for 761 pesticides and industrial chemicals in domestic and imported foods for animals and humans. The following are some highlights of the FDA’s findings:
Percentage of foods compliant with federal standards
96.2% of domestic human foods
89.6% of imported human foods
98.8% domestic animal foods
94.4% imported animal foods
Percentage of food samples without pesticide residues
Milk and game meat: 100%
Shell egg: 87.5%
Honey: 77.3%
Percentage of food samples without glyphosate or glufosinate residues
Milk and eggs: 100%
Corn: 82.1%
Soybeans: 60%
“Ensuring the safety of the American food supply is a critical part of the work of the U.S. Food and Drug Administration. Our annual efforts to test both human and animal foods for pesticide residues in foods is important as we work to limit exposure to any pesticide residues that may be unsafe,” said Susan Mayne, Ph.D., director of FDA’s CFSAN, in an agency release. “We will continue to do this important monitoring work, taking action when appropriate, to help ensure our food supply remains among the safest in the world.”
Food safety and food labeling are strictly regulated in Canada and therefore, honey adulterated with sugars labeled as genuine is considered fraudulent. The Canadian Food Inspection Agency (CFIA) investigated Canadian honey samples from various sources within the supply chain, such as importers, blenders, retailers and more. Almost 22% of imported samples were adulterated with added sugars, the domestic (Canadian) samples showed no adulterations. The CFIA will continue monitoring honey imports and take measures to avoid fraudulent products entering the Canadian market.
One of China’s most famous health brands has been banned from making honey and issued a steep fine in China after selling expired honey. For a long time, the brand’s “Premium” honey was a supposedly safe alternative in China compared to “fake” honey, mixed with sugar syrup.
Because of its high nutritional value and distinctive flavor, natural honey is a premium product with a price tag significantly higher than that of other sweeteners. As a result, honey is often the target of adulteration using low-cost invert sugar syrups. This article looks at two analytical approaches based on isotope fingerprint analysis using isotope ratio mass spectrometry (IRMS) that can be used to detect honey adulteration and safeguard product integrity.
Honey is a complex mixture of sugars, proteins and other compounds, produced in nature by honeybees from flower nectar or honeydew. The extent to which its sugars are present is heavily dependent on the floral source and differs significantly between honeys produced in different regions. Climate, processing and storage conditions can also have an effect on the amounts of these sugars.1
Fructose and glucose are the major components of honey, and account for 85–95% of the total sugars present. The remaining carbohydrates are a mixture of disaccharides, trisaccharides, and larger oligosaccharides, which give individual honeys their own characteristic taste.
These distinctive flavors, combined with honey’s renowned nutritional benefits and a growing consumer demand for natural, healthy ingredients, have contributed to a substantial increase in honey sales over the past few decades. However, this demand has also helped to raise costs, with some varieties, such as Manuka honey, reportedly selling for as much as $35 for a 250 gm jar.
Just like many other food products that have a premium price tag, intentional adulteration is a significant concern for the honey industry. The fraudulent addition of cheaper sweeteners, such as sugar derived from cane, corn and beet sources, to extend product sales, is unfortunately common within the marketplace.
Honey producers and suppliers therefore require reliable and accurate analytical techniques to profile the composition of honey to identify cases of adulteration. Using analytical data, honey adulteration and counterfeiting can be routinely identified and product integrity can be maintained.
Carbon Isotope Fingerprints of Honey
Analysis of honey is commonly undertaken using isotope ratio mass spectrometry (IRMS) for the detection of adulteration. Honey has a fingerprint, a unique chemical signature that allows it to be identified. To visualize this fingerprint, IRMS can be used to identify the botanical origin of its constituent sugars.
Two ways that carbon can be incorporated into plants by photosynthetic CO2 fixation are the Calvin cycle (also known as the C3 cycle) and Hatch-Slack cycle (the C4 cycle). The nectar used by bees to produce honey comes from plants that produce sugars via the C3 pathway, while the sugars derived from sugar cane and corn are produced by the C4 pathway.
Carbon naturally exists as two stable isotopes that behave in the same way, but possess different atomic mass numbers. Carbon-12 is the most abundant in nature (98.9%), whereas carbon-13 is far less common (1.1%). By measuring the ratio of carbon-13 to carbon-12 (13C/12C) using IRMS, the carbon isotope fingerprint of the honey can be determined. As more carbon-13 is incorporated in sugars produced by the C4 pathway, the adulteration of honey with sugar cane and fructose corn syrups, rich in C4 sugars, can be detected.
In unadulterated honey, the carbon isotope fingerprint will be similar to that of the natural protein precipitated from the honey. However, if cane sugar or high fructose corn syrup has been added, the isotope fingerprint of honey and protein will be significantly different.
Detection of Adulteration by EA-IRMS
One approach that has traditionally been used for the detection of honey adulteration is elemental analysis interfaced with IRMS (EA-IRMS).2 This highly robust, rapid and cost-effective technique is able to reliably detect the addition of C4 sugars in honey at levels down to 7%.3 The analytical approach complies with the official method for the analysis of C4 sugars in honey, AOAC method 998.12.4
In EA-IRMS, bulk honey is combusted in the presence of pure oxygen to form CO2 for analysis. The CO2 produced from the combustion of the bulk honey, including all sugars and the protein fraction, is analyzed by IRMS. Figure 1 shows carbon isotope fingerprints of four unique samples, including bulk honey and the proteins extracted from those honeys, determined using an EA-IRMS system. In each case of adulteration, shown in the grey columns, the honey δ13C value becomes more positive relative to the protein value, moving towards the carbon isotope fingerprint of C4 plants. The natural variation of δ13C in honey is shown by the red lines.5
Detection of Adulteration by LC-IRMS
While EA-IRMS can be used to identify cases of honey adulteration using the bulk sample, the analysis of low levels of added C4 sugars and C3 sugars (i.e., beet sugars) to honey reveal that a compound specific technique with more powerful separation capabilities is needed. Furthermore, as fraudsters develop more sophisticated adulteration techniques and effective ways of concealing their actions, it can be necessary to utilize other IRMS techniques.
Much lower limits of adulteration detection can be obtained from liquid chromatography interfaced with IRMS (LC-IRMS). This technique permits the analysis of very small sample amounts without the need for extensive preparation or derivatization, and can also identify C3 sugar adulteration, which EA-IRMS cannot readily achieve, and therefore serves as a strong, complimentary isotope fingerprint technique. There are IRMS portfolios available that allow for sequential automated analysis of both analytical techniques.
Using LC-IRMS, the sample is oxidized within the aqueous solvent eluting from the HPLC column. The oxidation reagent consists of two solutions: The oxidizing agent itself and phosphoric acid. Both are pumped separately and added to the mobile phase. Within this mixture, all individual organic compounds eluting from the HPLC column are oxidized quantitatively into CO2 upon passing through a heated reactor. In a downstream separation unit, the generated CO2 is then separated from the liquid phase and carried by a stream of helium gas. The individual CO2 peaks in the helium are subsequently dried in an on-line gas drying unit and admitted to the isotope ratio mass spectrometer via an open split interface.
As a result of my research, I found two fantastic resources describing the background of food fraud, the first is an excellent 3-minute podcast on our website, titled, Food Fraud by Dr. Jennifer McEntire, who at the time was VP and Chief Science Officer at The Acheson Group and is now the newly appointed VP of Science Operations at the GMA. Dr. McEntire succinctly gets to the crux of the reasons pertaining to food fraud and it is well worth a listen.
The second is a 3-minute slide deck narrated by renowned food safety expert Professor Chris Elliot, Director of the Institute of Global Food Safety at Queens University Belfast. Professor Elliot highlights the impact of various food frauds including melamine adulteration in milk, spices, meat and he specifically expands on the topic of honey laundering.
There are too many honey adulteration frauds to list here and while some have resulted in huge fines and criminal charges, there is one that will not go away is the mislabeling of Manuka honey. This premium product (and premium price) is a rare honey from New Zealand produced by bees that pollinate the manuka bush and has numerous claimed medicinal properties that can be extremely profitable for the fraudsters through substitution with a basic product. As food fraud is an international issue, various organizations likeInterpol and Europol have food fraud units and here in the UK the government has committed to, and is setting up a dedicated Food Crime Unit.
Moving into the science, one of the best literature resources I would like to share is the Food Fraud Resources website which has some highly cited articles including reviews, thought leadership and analytical methods that are available for download. There are various techniques for honey analysis in the journals and I want to briefly focus on one of the most powerful for authentication, the use of isotope analysis. In our Application Note 30177, Detection of Honey Adulteration with FlashEA Elemental Analyzer and DELTA V Isotope Ratio Mass Spectrometer, we describe a fully automated system for the detection of honey adulteration with C4-syrups according to the AOAC 998.12 guidelines and is routinely used in many laboratories.
Is honey analysis or food fraud of interest to your laboratory? If so, share your thoughts and experiences in the comments below.
Check out Thermo Fisher’s Food Community page for more resources, on-demand webinars, videos, and application notes.
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookies
Strictly Necessary Cookies should be enabled at all times so that we can save your preferences for these cookie settings.
We use tracking pixels that set your arrival time at our website, this is used as part of our anti-spam and security measures. Disabling this tracking pixel would disable some of our security measures, and is therefore considered necessary for the safe operation of the website. This tracking pixel is cleared from your system when you delete files in your history.
We also use cookies to store your preferences regarding the setting of 3rd Party Cookies.
If you visit and/or use the FST Training Calendar, cookies are used to store your search terms, and keep track of which records you have seen already. Without these cookies, the Training Calendar would not work.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
Cookie Policy
A browser cookie is a small piece of data that is stored on your device to help websites and mobile apps remember things about you. Other technologies, including Web storage and identifiers associated with your device, may be used for similar purposes. In this policy, we say “cookies” to discuss all of these technologies.
Our Privacy Policy explains how we collect and use information from and about you when you use This website and certain other Innovative Publishing Co LLC services. This policy explains more about how we use cookies and your related choices.
How We Use Cookies
Data generated from cookies and other behavioral tracking technology is not made available to any outside parties, and is only used in the aggregate to make editorial decisions for the websites. Most browsers are initially set up to accept cookies, but you can reset your browser to refuse all cookies or to indicate when a cookie is being sent by visiting this Cookies Policy page. If your cookies are disabled in the browser, neither the tracking cookie nor the preference cookie is set, and you are in effect opted-out.
In other cases, our advertisers request to use third-party tracking to verify our ad delivery, or to remarket their products and/or services to you on other websites. You may opt-out of these tracking pixels by adjusting the Do Not Track settings in your browser, or by visiting the Network Advertising Initiative Opt Out page.
You have control over whether, how, and when cookies and other tracking technologies are installed on your devices. Although each browser is different, most browsers enable their users to access and edit their cookie preferences in their browser settings. The rejection or disabling of some cookies may impact certain features of the site or to cause some of the website’s services not to function properly.
Individuals may opt-out of 3rd Party Cookies used on IPC websites by adjusting your cookie preferences through this Cookie Preferences tool, or by setting web browser settings to refuse cookies and similar tracking mechanisms. Please note that web browsers operate using different identifiers. As such, you must adjust your settings in each web browser and for each computer or device on which you would like to opt-out on. Further, if you simply delete your cookies, you will need to remove cookies from your device after every visit to the websites. You may download a browser plugin that will help you maintain your opt-out choices by visiting www.aboutads.info/pmc. You may block cookies entirely by disabling cookie use in your browser or by setting your browser to ask for your permission before setting a cookie. Blocking cookies entirely may cause some websites to work incorrectly or less effectively.
The use of online tracking mechanisms by third parties is subject to those third parties’ own privacy policies, and not this Policy. If you prefer to prevent third parties from setting and accessing cookies on your computer, you may set your browser to block all cookies. Additionally, you may remove yourself from the targeted advertising of companies within the Network Advertising Initiative by opting out here, or of companies participating in the Digital Advertising Alliance program by opting out here.