In situations with simple sample types, multivariate calibration methods like PLS are often too complex and unnecessary. Therefore, the GRAMS Suite offers the QuickQuant module for performing least squares regression calibration analysis of spectral data.
This easily deployable component allows you to quantify the peaks of spectra or chromatograms.
The QuickQuant Calibration wizard builds,electronically signed, human readable calibration files. These are deployed within Quant Predict which reads or directly captures data and reports calculated concentrations . As ActiveApps both components integrate seamlessly with GRAMS or can be embedded as .OCX controls into your own programs. This wizard-based calibration builder guides the user through the process of creating or editing a calibration, as follows (click the images below to enlarge):
- Select Reference Calibration Files
- Define Component and Reference Bands
- Specify Custom Baseline calculations
- Enter concentration values for standards
- Select the regression curve type , linear cubic or quadratic
- Save the electronically signed Calibration file
- Deploy the cal file with Quant Predict
Sample prediction reports are easy to create, simple to interpret and can be output to the display, printer, clipboard, text file or any combination.
QuickQuant was built using the GRAMS/AI ActiveApp™ interface so it can run either within the GRAMS/AI application, or be embedded into third party applications. QuickQuant is also fully compatible with My Instrument™ modules for applying calibrations directly to sample spectra collected from a compliant instrument.
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“Looking online for a software that would perform the particular task we need at the moment (resolution of overlapped Gaussian-shaped peaks), I was glad to find out that a fully functional trial version of OriginPro was made available by your company. Also, watching one of the tutorial videos, all commands and short-cuts I needed to get my results were shown there. Very handy and a time-saver.”Mauricio Morais, LCT, M.Sc. - Sr. Research Assistant - NEPS Lab Jean Mayer USDA Human Nutrition Research Center on Aging at TUFTS Univers
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