CLADE MIRA Analyzer
BRING UNMATCHED EFFICIENCY TO YOUR ANALYTICS
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User-friendly maintenance
All user touchpoints are optimized in terms of usability. It is easy to exchange filters, pump heads or dry cartridges with only a few minutes of hands-on-time.
High-end detector
A sophisticated MCT-detector with maintenance-free thermo-mechanical cryo-cooling delivers an exceptionally good signal-to-noise ratio.
Automatic sample handling
The liquid-handling robot frees up your time for important tasks and reduces human error by fully automating the injection of your samples.
Comprehensive Instrument Test
Every day, the CLADE MIRA Analyzer performs an instrument test to ensure that all components work flawlessly. Spectrometer, Fluidics, Flow Cell, Detector: All of them are tested to guarantee superior quality of your data.
Repeatable measurements:
Anywhere, Anytime
A precisely orchestrated measuring procedure in combination with perfekt correction of atmospheric influences creates true digital fingerprints: Transferable and reproducible.
AquaSpecTM inside
Our patented AquaSpecTM technology is part of the MIRA Analyzer. A 7 µm flow cells enables MIR transmission spectroscopy.
Exceptionally high degree of Standardization
To demonstrate the analytical performance of the instrument, a series of measurements of glycerol in water in the concentration range from 0 g/L to 200 g/L was measured in equidistant 20 g/L steps with Mira.
Very high dynamic range |
R2 > 0.999 |
Exceptional high spectral repeatability (single device) |
RSD < 0.5 % |
Outstanding signal-to-noise ratio |
peak-to-peak signal-to-noise better than 10000:1 |
High resolution |
4 cm-1 |
Speed |
4 min measurement time |
Measurement range |
3050 to 980 cm-1 |
Figure 1: Standard absorption spectra. A series of measurements of glycerol in water in the concentration range from 0 g/L to 200 g/L was measured in equidistant 20 g/L steps with MIRA.
High models accuracy and robustness
The spectra were pre-processed with a Savitzky-Golay filter before being used for the PLS model calibration. A PLS model was generated with two factors. The optimal number of factors was determined via permutation. We have achieved a prediction accuracy of 0.34 g/L or 0.19 %.
Exceptional high precision |
CV < 0.2 % |
High accuracy |
RMSEC < 0.5 g/L or MAPE < 0.5 % |
Figure 2: Predicted vs. measured plot of glycerol in water in the concentration range from 20 g/L to 200 g/L using a PLS calibration model to determine the prediction accuracy.
Further information: