MassTrak Endocrine Steroid Calibrator and Quality Control Sets
With the help of MassTrak Endocrine Steroid Calibrator and Quality Control Sets, you can perform steroid hormone analysis. Learn how this LC-MS QC kit can improve your endocrinology assays.

The supplier does not provide quotations for this product through SelectScience. You can search for similar products in our Product Directory.
Accurate endocrine steroid analysis starts here
Measuring steroid hormones is essential in clinical diagnostic laboratories, but traditional techniques are limited to measuring one steroid hormone at a time. Current antibody-based assays can also cross-react with other steroid compounds, making quantitating samples with low concentrations problematic.
Accommodate your more difficult sample types with MassTrak Endocrine Steroid Calibrator and Quality Control Sets, which provides laboratories with a large panel of steroid compounds lyophilized in human serum with metrological traceability and relevant reference ranges for routine analysis in one injection.
Metrological traceability of the Waters MassTrak Endocrine Steroid Calibrator and Quality Control Sets
LC-MS/MS methods in clinical laboratories are often based on validated laboratory developed tests (LDTs), which comply with local regulatory guidelines and international standards. In some geographies, laboratories are required to use metrologically traceable calibration materials to aid in compliance with ISO 15189:2012 Medical laboratories–Requirements for quality and competence. Therefore, metrological traceability has been incorporated in to the design, development, and manufacture of the Waters MassTrak Endocrine Steroid Calibrator and Quality Control Sets (IVD), aiding laboratories in their compliance to ISO 15189, and providing confidence in the accuracy and harmonization of results when using validated LC-MS methods. In this application note, Waters provides an overview of the Waters MassTrak Endocrine Steroid Calibrator and Quality Control Sets and their accuracy and comparisons across lot-to-lot testing.







