Detecting Honey Adulteration with Sugar Syrups by EA/LC-IRMS Testing at FARE Labs
Ensuring honey authenticity is one of the great challenges facing the honey industry today. Over the past half century, a number of honey testing methods have been developed to detect food fraud. To date, there is no single universal analytical method available which is capable of detecting all types of adulteration with adequate sensitivity. A variety of methods are used to detect honey adulteration, each test has strengths and weaknesses. The method based on 13 C EA/LC-IRMS (C3/C4 sugar detection) offers the most reliable predictor of honey’s purity from sugar syrup adulteration.
In June 2020, the Food Safety and Standards Authority of India (FSSAI) issued an official directive mandating the analysis of C3 and C4 sugars in honey to ensure product authenticity and detect potential adulteration. The order specified the use of Elemental Analysis-Liquid Chromatography-Isotope Ratio Mass Spectrometry (EA/LC-IRMS) as the designated analytical technique for this assessment.
Furthermore, the directive established threshold limits for key parameters related to isotopic composition, ensuring compliance with regulatory standards. These parameters include:
- C4 Sugar %
- Δδ 13 C Protein–Honey (The difference in 13 C/ 12 C between honey and its associated protein
extract) per mil - Δδ 13 C Max (Maximum difference all measured δ 13 C values); per mil
- Δδ 13 CFru-Glu (The difference in 13 C/ 12 C ratio between fructose and glucose); per mil
- Foreign Oligosaccharides
This regulation was introduced to enhance quality control, prevent adulteration, and maintain consumer trust by ensuring that honey available in the market adheres to the prescribed standards of authenticity.
FARE Labs has been accredited as per ISO/IEC 17025:2017 by NABL (National Accreditation Board for Testing and Calibration Laboratories) for the analysis of C3 and C4 sugars in honey since 2021. To ensure precise and reliable testing, we employ the following validated analytical methods for assessing these parameters: