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Search: L773:0169 7439 OR L773:1873 3239 > (2010-2014) > Characterization an...

Characterization and mapping of carotenoids in the algae Dunaliella and Phaeodactylum using Raman and target orthogonal partial least squares

Abbas, Aamer, 1973 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Josefson, Mats (author)
AstraZeneca AB
Abrahamsson, Katarina, 1957 (author)
Göteborgs universitet,University of Gothenburg
 (creator_code:org_t)
Elsevier BV, 2011
2011
English.
In: Chemometrics and Intelligent Laboratory Systems. - : Elsevier BV. - 0169-7439 .- 1873-3239. ; 107:1, s. 174-177
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A method was developed for the characterisation of carotenoid pigments in algal species using Raman spectroscopy in combination with multivariate hyperspectral analysis. Target orthogonal partial least squares (T-OPLS) operates by designating one known reference spectrum as the target. The target spectrum is put as the single y column in an OPLS regression model where the X matrix consists of the unfolded image spectra as variables in its columns. The spectral shape of the OPLS first orthogonal target score enabled us to verify the peak positions of the standard, and detect new peaks, not present in the reference standard. It was shown that the mixture of carotenoids present in the algae did not fully match the reference spectrum, however, the method provided enough information to make an analysis possible also in this case. The image results were constructed from the OPLS loading vectors that were showing a correlation map for the reference spectrum from the predictive loadings and maps of the occurrence of deviations from the orthogonal loadings.

Subject headings

NATURVETENSKAP  -- Kemi -- Analytisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Analytical Chemistry (hsv//eng)

Keyword

Target orthogonal partial least
Dunaliella
Raman
Phaeodactylum
Target OPLS
squares
spectroscopy

Publication and Content Type

art (subject category)
ref (subject category)

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