Potency determination, absolute compound purity assessment, identity testing, residual solvent, moisture analysis, relative response factor calculation…. Have you thought about using quantitative NMR (qNMR) as a one-stop solution?
- Versatile: no need to have a fully characterized reference standard for the analyte. Commercially available reference standards are used.
- Faster: NMR is inherently quantitative. There is no need to calculate response factors or calibration curves.
- All-in-one: potency and structure confirmation in one single experiment. Organic and inorganic materials are taken into account. No need to use additional techniques.
- Accurate: use of internal standard eliminates errors introduced by inherent sample differences.
- Reproducible: an automated workflow from acquisition to analysis decreases human error and variability.
- Intuitive and flexible: straightforward manual interaction when desired.
- Straightforward sample submission through IconNMR automation software. Optimal qNMR experiments provided as well as parameters for most commonly used internal standards.
- Automated data analysis comprises internal standard peak identification and integration with sophisticated ‘peak snapping’ algorithm, analyte quantification, consistency analysis and potency calculation. Modification of the workflow according to SOPs which define the analyte's integral regions.
- Error analysis within the sample: multiple analyte peaks are integrated, averaged and the RSD given.
- Error analysis between samples: replicate samples can be submitted in one click. Potency for each replicate will be calculated. Final averaged result and associate error given.
- Results are presented in different formats such as PDF report with spectral information and excel table output.
The automatic data analysis is based on Bruker’s proven algorithms for NMR quantification. These are either automatically called from the acquisition module or they can be manually executed. In addition to the automatic analysis, all processing features and the subsequent analysis are accessible for manual work in an easy-to-use fashion.
Relevant Educational Webinar(s) can be found here.