Calibration Curve enables Proper Quantitation and Suitable Analytical Assay Sensitivity

We set-up and validate robust analytical methods for quantitation of your drugs and biomarkers, considering distinct assay factors such as analytical specificity, selectivity, and sensitivity. Analytical specificity represents the assay’s ability to measure a specific analyte within a sample with matrix and ingredients. Analytical selectivity defines the capability to separate and detect the analyte within a complex matrix without any interference from other components. Analytical sensitivity asserts the smallest amount of an analyte that can be measured in an assay correctly.

Likewise, our team utilizes a suitable calibration curve to determine the concentration of your analyte in an unknown sample. This analysis requires a comparison of unknown samples to a set of standard samples of known concentration and quality controls processed within the same matrix. Sometimes, these assays become very challenging – especially if the unknown sample is endogenous, environmental, or biologically complex. That said, our veteran scientists at NorthEast BioLab are quite familiar with these method and analysis hurdles and capably resolve such issues if/when they arise.

Our team of scientists works diligently to base our research and studies as per the boundaries outlined within your analytical assay. We tenaciously pursue precision and accuracy for our methods to ensure reliable and reproducible results. We rely extensively on the triple quadrupole mass spectrometry and ligand binding detection techniques as they usually deliver superior sample analysis results.