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Sweet little lies: Maple syrup fraud undermines the authenticity of Canada’s ‘liquid gold’
FILE: Grades of Vermont maple syrup. Grade A varieties, left to right: Golden Colour and Delicate Taste (previously “Vermont Fancy”), Amber Color and Rich Taste (previously Grade A Medium Amber), Dark Color and Robust Taste (previously Grade A Dark Amber), Very Dark Color and Strong Taste (previously Grade B). (Photo By Dvortygirl/Wikimedia Commons, CC BY-SA 3.0)
Maple syrup, Canada’s “liquid gold,” is among the 10 most adulterated foods globally.
Maple syrup’s desirability has made it a target for delinquent activities, including food fraud and theft. In 2011 and 2012, almost 3,000 tonnes of maple syrup were stolen from the Strategic Reserve in Québec.
The Great Maple Syrup Heist reflects the food’s status as a highly valuable commodity and the target of delinquent activities.
In addition to the threat posed to maple syrup by thieves and smugglers, unreliable production yields due to climate events have required establishing production quotas to stabilize pricing and supply.
As a consequence, there have been reports of prohibition-style smuggling and sugar syrups labelled as maple syrup permeating the market. These actions cheat consumers and introduce food safety risks into the supply chain.
Consumers pay more for a lower value product. In addition, the introduction of other sugars or sugar syrups may pose risks to individuals with sugar sensitivities, as maple syrup has a lower glycemic index than white sugar or corn syrups.
Fingerprinting maple syrup glow
As such, there is a need for the development of more accurate and rapid testing tools to monitor maple syrup fraud.
Our research team at the University of Guelph has been developing methods to detect maple syrup fraud. We use fluorescence fingerprinting, which analyzes how certain molecules in maple syrup glow when exposed to UV and visible light, to see if there is any potential maple syrup adulteration.
In UV light, maple syrup naturally glows. Fluorescence fingerprinting maps the intensity of the light emitted by these specific fluorescent (glowing) compounds, and can provide a unique 3D rendering of a sample’s composition while also reporting on its quality, safety and identity.
Using key features found in the fluorescence fingerprints, we explored ways to better detect maple syrup adulteration even when the levels are as low as one per cent.
Our study examines the adulteration of dark and amber maple syrups with common maple syrup adulterants, at percentages ranging from one to 50 per cent.
Distinct fluorescence fingerprints were found for each tested syrup and mixture, revealing features that can be used to distinguish pure from adulterated samples.
Machine learning and identification
(M. Singh), Author provided
The fluorescence fingerprints obtained when the samples were exposed to UV and visible light show several features (or peaks) that gradually changed in samples tampered with adulterants. We were able to correctly detect adulteration in 70 to 100 per cent of samples, depending on how the features were quantified and analyzed, by creating a fluorescence index or by using machine learning techniques.
To fully validate this approach, we will need to use larger datasets that will help us control for other factors — like the environments maple trees grow in — that may affect the content of the syrups.
Other common fingerprinting techniques, such as DNA barcoding that examines short DNA fragments, can detect adulteration in other foods, like fish or sausages.
These methods don’t work well for maple syrup because the extensive processing required to transform sap into syrup potentially degrades the DNA.
In contrast, fluorescence fingerprints rely on a food’s chemical composition, so identifying the presence of adulterants can happen even in highly processed samples. Most foods naturally contain intrinsic fluorescent compounds, which means they glow under UV and visible light — the amount of and type of glow represent distinguishing characteristics.
Quality control
Since using fluorescent fingerprinting only requires the use of light, it is a non-invasive, efficient and affordable strategy for checking whether maple syrup contains any other sugar syrups. It is also fast, providing information about a sample within minutes.
This approach can be applied at different points in the supply chain as part of quality assurance and control. This would ensure that consumers receive safe, high-quality foods, and that they are not cheated financially. Confirming the quality of maple syrup would also protect the brand reputation of Canadian products.
Maia Zhang, research assistant at the University of Guelph, co-authored this article.
Maleeka Singh, PhD Candidate, Food Science, University of Guelph; Maria G. Corradini, Associate Professor – Arrell Chair in Food Quality, University of Guelph; Robert Hanner, Professor, Department of Integrative Biology, University of Guelph, and Sujani Rathnayake, Research assistant, Hanner Lab, University of Guelph
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Maleeka Singh, University of Guelph
Maria G. Corradini, University of Guelph
Robert Hanner, University of Guelph
Sujani Rathnayake, University of Guelph
