Wavelength Selection for Near-Infrared Spectroscopic Analysis of Teicoplanin

Wavelength Selection for Near-Infrared Spectroscopic Analysis of Teicoplanin

Teicoplanin (TCP) is a multiple drug-resistant lipoglycopeptide antibiotic produced by fermenting Actinoplanes teichomyceticus. In this study, a mixture of TCP with the Tris-HCl buffer (TCP-TrisHCl) was used to simulate TCP fermentation broth. The reagent-free, rapid and simultaneous quantitative analysis models for TCP and Tris in the TCP-Tris-HCl mixtures were established by nearinfrared (NIR...

Optimized Wavelength Selection and Normalization in Spectral Near Infrared Tomography

Multi-spectral near infrared tomographic imaging has the potential to provide information about patho-physiological function of soft tissue. However, the specific choice of wavelengths used is crucial for the accurate separation of such parameters. Determination of a set of optimized bands of wavelengths is presented and tested using experimental data. The optimization method achieves images as...

Active wavelength selection for mixture analysis with tunable infrared detectors

This article presents an active wavelength selection algorithm for multicomponent analysis with tunable infrared sensors. Traditional techniques for wavelength selection operate off-line; as a result, the resulting feature subset is fixed and only optimal for the specific mixtures and noise levels in the training set. To address this limitation, the proposed algorithm interleaves the wavelength...

Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data.

A new wavelength interval selection procedure, moving window partial least-squares regression (MWPLSR), is proposed for multicomponent spectral analysis. This procedure builds a series of PLS models in a window that moves over the whole spectral region and then locates useful spectral intervals in terms of the least complexity of PLS models reaching a desired error level. Based on a proposed th...

NIR Spectroscopy - A guide to near-infrared spectroscopic analysis