Application of mid-infrared chemical imaging and multivariate chemometrics analyses to characterise a population of microalgae cells

作者：Tan Suat Teng; Balasubramanian Rajesh Kumar; Das Probir; Obbard Jeffrey Philip; Chew Wee^*

来源：Bioresource Technology, 2013, 134: 316-323.

DOI：10.1016/j.biortech.2013.01.060

• Microalgae
• Mid-infrared microspectroscopic imaging
• Multivariate chemometrics
• Unsupervised hierarchical cluster analysis (HCA)
• Cellular lipids and proteins

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 A(i) is introduced for estimating population characteristics.

• 出版日期2013-4