Test laboratory for the effect-related analysis of estrogenic activity
Research laboratory for effect-related analysis
The quo data Gesellschaft für Qualitätsmanagement und Statistik mbH (hereafter referred to as QuoData GmbH) is your competent partner when hormonal effects are to be measured and assessed in a wide variety of sample types.
Furthermore, the QuoData team analyzes further hormonal effects in your samples.
Our range of services
- Determination of the estrogenic potential of water and milk powder according to ISO 19040-2:2018 (A-YES).
- In addition to the standard method, QuoData GmbH offers the analysis of water samples with the in-house method A-YES and µA-YES.
Certificate of accreditation and Annex
Suggestions and appealsAs an alternative method to A-YES, the YES test method based on the recombinant yeast Saccharomyces cerevisiae can be used to determine the estrogenic effect.
The determination of the androgenic, gestagenic, glucocorticoid and mineralcorticoid effects as well as the estrogenic effect caused by bisphenol A and the effect caused by the Ah receptor are carried out using standardized methods based on the yeast cell system Arxula adeninivorans.
Get hormonal effects determined from:
- water and aqueous extracts of e.g. waste water, bathing water, groundwater, surface water, raw and drinking water, spring, mineral and table water as well as sludge and soil eluates
- aqueous extracts of personal care products, cosmetics and coatings
- food, feed and food supplements and additives
- investigating active pharmaceutical ingredients, natural and synthetic drug candidates
Research laboratory for effect-related analysis:
In addition to the tasks as an accredited test laboratory according to DIN EN ISO/IEC 17025:2018, QuoData GmbH develops and optimizes effect-related processes together with its partner new_diagnostics GmbH for customer-specific questions:
- Testing and modification of existing methods, e.g. for new sample types and matrices
- Combination of the effect-related yeast cell assays with analytical separation methods
- Improvement of the performance parameters of biosensors used for specific applications
- Probation and integration of sample pre-treatment methods into the measurement process
- Application of individual validation concepts such as in-house validation, ICEs (Interlaboratory Comparison Exercise) or method validation ring tests to confirm the suitability of the method for the intended purpose.