NIR Spectroscopy in Bioprocessing

Real–Time Data on Manufacturing Bio–Processes with NIR spectroscopy

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Diode array systems have considerable advantages compared to other spectrometer types, particularly in terms of highly dynamic systems, in which scattering particles occur (e.g. cells or air bubbles such as those that appear in fermentation processes). One risk, which is a recurring issue amongst fermentation operators, is the potential clogging of flow cells.

Chemometrics for Fermentation Processes

Tools, which display the temporal variation between sequential spectra in real time will show the probe as being clogged as soon as variability falls below a specific threshold. A slow-growing biofilm on the sapphire window or the reflector can also be detected using similar algorithms, thus ensuring that the measurement is consistently valid.

Modern NIR systems are not only advanced in terms of their hardware, but also with regard to their data processing and interpretation software. The complexity of band overlap within the NIR spectrum prevents a direct quantification such as that which may be achieved though the evaluation of the surface or intensities of a band. Therefore, different statistical procedures are used in order to filter out the essential elements for quantification in the NIR spectrum. These statistical procedures are summarized under the umbrella term ‘chemometrics.’

NIR for Principal Component Analysis

Principal Component Analysis (PCA) or a Partial Least Square procedure (PLS) are examples of frequently used methods. Some of these procedures determine the functional correlations between the spectra and the target values (the parameter to be measured, e.g., glucose concentration).

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