Application of mid-infrared chemical imaging and multivariate chemometrics analyses to characterise a population of microalgae cells.
Bioresour Technol
; 134: 316-23, 2013 Apr.
Article
em En
| MEDLINE
| ID: mdl-23511699
ABSTRACT
A suite of multivariate chemometrics methods was applied to a mid-infrared imaging dataset of a eustigmatophyte, marine Nannochloropsis sp. microalgae strain. This includes the improved leader-follower cluster analysis (iLFCA) to interrogate spectra in an unsupervised fashion, a resonant Mie optical scatter correction algorithm (RMieS-EMSC) that improves data linearity, the band-target entropy minimization (BTEM) self-modeling curve resolution for recovering component spectra, and a multi-linear regression (MLR) for estimating relative concentrations and plotting chemical maps of component spectra. A novel Alpha-Stable probability calculation for microalgae cellular lipid-to-protein ratio Λi is introduced for estimating population characteristics.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Espectroscopia de Infravermelho com Transformada de Fourier
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Microalgas
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Bases de Dados de Compostos Químicos
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article