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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/206120
Honey fraud detection based on sugar syrup adulterations by HPLC-UV fingerprinting and chemometrics
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In recent years, honey-producing sector has faced the increasing presence of adulterated honeys, implying greateconomic losses and questioning the quality of this highly appreciated product by the society. Due to the highsugar content of honey, sugar syrups are among its most common adulterants, being also the most difficult todetect even with isotope ratio techniques depending on the origin of the sugar syrup plant source. In this work, ahoney authentication method based on HPLC-UV fingerprinting was developed, exhibiting a 100% classificationrate of honey samples against a great variety of sugar syrups (agave, corn, fiber, maple, rice, sugar cane andglucose) by partial least squares-discriminant analysis (PLS-DA). In addition, the detection and level quantitationof adulteration using syrups as adulterants (down to 15%) was accomplished by partial least squares (PLS)regression with low prediction errors by both internal and external validation (values below 12.8% and 19.7%,respectively)
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EGIDO, Carla, SAURINA, Javier, SENTELLAS, Sonia, NÚÑEZ BURCIO, Oscar. Honey fraud detection based on sugar syrup adulterations by HPLC-UV fingerprinting and chemometrics. _Food Chemistry_. 2024. Vol. 436, núm. 137758. [consulta: 14 de gener de 2026]. ISSN: 0308-8146. [Disponible a: https://hdl.handle.net/2445/206120]