MVAPlus

Multivariate Analysis App for all Raman Maps

Multivariate Raman analysis at your fingertips

Raman spectroscopy is an easy and quick way to identify and quantify chemical compounds in an unknown sample. Nevertheless, most “real-life” samples like cells, proteins, medical drugs, forensics, or geological cores are very complex. Multivariate analysis techniques are the only efficient mathematic way to accurately identify and quantify them.

With MVAPlus, complex Raman chemical images can be processed and characterized rapidly and easily. A totally integrated module within the LabSpec6 Software Suite, MVAPlus has been tested and validated on a variety of datasets from small to large and with various Signal-Noise Ratios. The intuitive interface requires minimal knowledge of multivariate techniques; commonly used pre-processing functions for the included methods are available as part of MVAPlus, whilst LabSpec’s full data processing suite is available for users who wish to customize their analyses.

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Segment: Scientific

Abteilung: Raman Spectroscopy

Produktionsfirma: HORIBA France SAS

Combines all the most common unsupervised multivariate algorithms (PCA, MCR, HCA and K-means) for loading generation with Smart Adaptative Classical Least Squares (CLS) Fitting for image generation.
Automatically determines the reference spectra of your spectral dataset faster than ever.
Compares, in the blink of an eye, different multivariate algorithms.
Provides a user-workflow based interface for Raman image generation.
Enables multivariate analysis on huge datasets up to 4 000 000 points including 3D maps.

Meteorite picture (726, 656 points)

Quality control of sugar content in beverages using Raman spectroscopy

We all consume or have all consumed sugary drinks at least once. Sugar content of those drinks must be regulated. Also, to avoid those properties of sugar, it has been replaced by sweeteners. These have lower sweetness than natural sugars. Whether it is sugar or sweetener, their content just be controlled. Here, we demonstrate that Raman spectroscopy is one solution to identify and evaluate sugar/sweetener concentrations in a quality control process.

Quality control of hand sanitizer gels and 70% alcohol products using Raman spectroscopy

Disinfecting your hands with hydroalcoholic gel has become a daily practice. In the meanwhile, 70° alcohol has been used for even longer to disinfect wounds. But, to remain efficient, the alcohol concentration of these products must not be below a defined threshold and must be controlled. This application note demonstrates how to evaluate alcohol concentrations in a quality control process with Raman.

2.63 MB

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