Science News

Marzipan Santas, Elves and Stollen: Real Deal or Cheap Fakes?

ScienceDaily (Nov. 30, 2011) — With the December holidays a peak season for indulging in marzipan, scientists are reporting development of a new test that can tell the difference between the real thing -- a pricey but luscious paste made from ground almonds and sugar -- and cheap fakes made from ground soy, peas and other ingredients. The report appears in ACS' Journal of Agricultural and Food Chemistry.

Ilka Haase and colleagues explain that marzipan is a popular treat in some countries, especially at Christmas and New Year's, when displays of marzipan sculpted into fruit, Santa and tree shapes pop up in stores. And cakes like marzipan stollen (a rich combo of raisins, nuts and cherries with a marzipan filling) are a holiday tradition. But the cost of almonds leads some unscrupulous manufacturers to use cheap substitutes like ground-up peach seeds, soybeans or peas.

Current methods for detecting that trickery have drawbacks, allowing counterfeit marzipan to slip onto the market to unsuspecting consumers. To improve the detection of contaminants in marzipan, the researchers became food detectives and adapted a method called the polymerase chain reaction (PCR) -- the same test famed for use in crime scene investigations.

They tested various marzipan concoctions with different amounts of apricot seeds, peach seeds, peas, beans, soy, lupine, chickpeas, cashews and pistachios. PCR enabled them to easily finger the doctored pastes. They could even detect small amounts -- as little as 0.1% -- of an almond substitute. The researchers say that the PCR method could serve as a perfect tool for the routine screening of marzipan pastes for small amounts of contaminants.


http://www.sciencedaily.com/releases/2011/11/111130100443.htm


Journal Reference: Philipp Brüning, Ilka Haase, Reinhard Matissek, Markus Fischer. Marzipan: Polymerase Chain Reaction-Driven Methods for Authenticity Control. Journal of Agricultural and Food Chemistry, 2011; 59 (22): 11910 DOI:

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