One challenge we face in clinical research is the limitation of the number of precious samples and the unique nature of each sample. It can be difficult to acquire matched controls for every study. We tested the QMDB and the various filter options matched well to study groups and the results aligned with our control groups. Reassurance by the QMDB helped us to verify that our results were within normal ranges and provide further power to our study.

Teodoro Bottiglieri, PhD
Director of Research, Center of Metabolomics; Baylor Scott & White Research Institute, USA

Our institute was looking for a standardized and validated approach to further expand our metabolomics portfolio. In general, LC-MS-based methods lack comparability and robustness. In addition, most self-developed or commercially available targeted approaches do not cover a broad spectrum of metabolites. Therefore, we use the MxP® Quant 500 XL kit on a routine base as a certified lab, because it is the most comprehensive solution for quantitative results on small molecules and lipids and complementary to our NMR-based metabolomics panel.

Dr. Sven Schuchardt
Head of Bio- and Environmental Analytics, Fraunhofer ITEM – Institute of Toxicology and Experimental Medicine, Germany

Our Metabolomics Core is involved in many long-term projects. Such projects require the generation of reliable and comparable data over a long period of time, so data quality is of paramount importance to us. We rely on the biocrates platform’s high-quality workflow and data analysis pipeline, which helped us eliminate variability and generate reproducible data. Their technology has also proven to be highly versatile and we could generate amazing insights in different indications using a wide spectrum of sample matrices (e.g. biofluids, tissues, cells). Therefore, I highly recommend the biocrates platform to any researcher looking to improve their data quality or just getting started in metabolomics.

Dr. Gernot Poschet
Executive Director, Metabolomics Core Technology Platform, Heidelberg University & German Cancer Research Center