Organic farming

Distinguishing between products from conventional and organic farming remains an analytical challenge to this day. This is due to the fact that there are no significant differences in the bio-chemical composition between organic and conventional products.

According to the definition of organic products, which is based on the absence of pesticides and mineral fertilisers, there are hardly any specifications that can be analytically verified. For example, an organic product does not have to be completely pesticide-free.

Our solution: the stable isotope method

The stable isotope method is one of the few analytical methods that offer the possibility of differentiating between organic and conventional products. The isotope signature of the nitrogen can be used to check the fertiliser used and detect the unauthorised use of mineral fertilisers in organic farming.

Effective analysis methods

Effective use of our method requires that the isotope values of the nitrogen can be linked to metadata on the type of fertiliser (plant/animal fertiliser), origin (soil type) and conversion time so that a causal chain can be checked. These requirements are summarised in our detailed guidelines.

Comprehensive analyses for your safety

In combination with other isotope signatures of carbon and sulphur, distinctions can also be made in animal products, as organic feed often differs from conventional feed in terms of its isotope composition. Our targeted analyses provide you with the certainty you need to ensure the authenticity and quality of your products.

Put your trust in Agroisolab

Agroisolab has more than 20 years of experience in stable isotope analysis. That is why we have been designated as an official laboratory in the field of organic agriculture testing in accordance with Article 37(1) of Regulation (EU) No 2017/625 in Germany.

Discover how Agroisolab can help you to prove the differences between organic and conventional products. Contact us for a personalised consultation and learn more about our innovative analysis methods.