Chrom Cal is fully integrated in Mnova and therefore can handle spectral datasets and extract the information needed for calculating the calibration curves without the need for data transcription into third party software or spreadsheets.

After data ingestion, Chrom Cal can detect and group the samples from different compounds automatically based on an input csv file, and calibration curves for those compounds can be generated in a single run.

Chrom Cal relies on a powerful algorithm to process spectral data, integrate compound peaks, and fit the calibration curve to the data points in a fully automated fashion.

Acceptance criteria, such as R2 value threshold or slope range, and cross-validation rules can be pre-defined in the method and evaluated at the end of the analysis to approve or reject the calibration results. This allows you to keep control over the quality and linearity of the results and speeds up the results reviewing process.

Calibration and validation results are displayed in a result viewer that allows both global and more detailed review of the data.

You can easily navigate between compounds to check the standard curve plots and parameters. Each data point on the graph is dynamically linked to the results tables and spectra. You can zoom in or out on the plot, include or exclude samples from the analysis, or even correct peak assignment or integration when needed, and the results are automatically recalculated.

Automatic CSV, Mnova, and PDF reports are generated with the calibration and validation results for each compound and are saved in the chosen location on your disks or databases along with a global HTML report and other metadata, log, and settings files. This saves a lot of time and considerably improves data management practices within your organization as it makes data easily findable and reusable.

Compound calibration results are also included in “.json” files that can feed downstream quantitative analyses performed by other Mgears plugins or by external software. Calibration values are extracted from these files and used for quantitation with no need for manual transcription, an error-prone and time-consuming task.