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BioHOS

Analysis for the determination of a biologic drug’s higher order structure

Mnova BioHOS is designed for the NMR analysis of biotherapeutics, like monoclonal antibodies. 2D NMR spectra of reference samples are compared with that of each test sample using a fingerprinting, or spectral similarity determination.

Licenses of Mnova NMR and Chemometrics are required to use Mnova BioHOS

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Designed in collaboration with Bruker BioSpin, Mnova BioHOS capabilities will support your analytical needs for the Quality Assessment of Biologic drugs using 2D NMR spectral data.

BioHOS

Highlights

Mnova BioHOS – NIST mAb data

Includes several published and accepted methods to conduct analysis:

– Principal Component Analysis, PCA – unsupervised chemometrics

– Easy Comparability of Higher Order Structure, ECHOS – simple representation of spectral differences

– Combined Chemical Shift Difference, CCSD – number that represents the shifts in peak positions

– 1D Profile uses 1D NMR spectra to detect small spectral changes and carry out a statistical analysis on evaluations

Quality Assessment of Biologic drugs using 2D NMR spectral data

Capitalise on a powerful, intuitive user interface

Excellent, fundamental capabilities and algorithms

Interactivity between the analysis results and spectral data

Similarity assessment between a drug and its reference material, allowing rapid pass / fail evaluations

MSChrom

Features

▼ 1.ECHOS ANALYSIS

    Pairwise intensity comparisons of points with the same coordinates in the reference – and test spectra
    A regression line is computed for the scatter plot of points. Manual and automatic noise cancellation
    Adjust threshold for residuals

▼ 2.CCSD COMPARISON

   Selected peaks in the reference spectrum are matched with peaks in the test data and the Combined Chemical Shift Difference (average and per peak pair) is calculated
   Average CCSD for each test spectrum, to rank them by similarity with the reference
   Plot CCSD values and amplitude ratio per pair of peaks and inspect relevant spectral regions with just one click

▼ 3.PCA ANALYSIS

   Dedicated features for data management including: adjusting preparation parameters, binning to reduce data size, conducting integrity checks, filtering, normalizing and scaling
   PCA results available in interactive plots always connected to the spectra
   Explained Variance, Influence, Scores and PCA loadings plot templates available

▼ 4.1D PROFILE

This uses 1D NMR spectra. Small spectral changes are detected and a statistical analysis performed on evaluations.
   Typically uses 1D 1H spectra
   Small differences are quantified
   Statistically treat spectra for many spectra