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Multicomponent inverse modeling of supercritical fluid extraction of carotenoids, chlorophyll A, ergosterol and lipids from microalgae

Abrahamsson, Victor LU ; Cunico, Larissa P. LU ; Andersson, Niklas LU ; Nilsson, Bernt LU and Turner, Charlotta LU (2018) In Journal of Supercritical Fluids 139. p.53-61
Abstract

The fundamentals of analyte extractable fraction, solubility, partitioning and mass transfer resistance in supercritical fluid extraction were studied using inverse modeling. These phenomena are essential for understanding, predicting and optimizing the supercritical fluid extraction process. Carotenoids, chlorophyll A, ergosterol and total lipids were extracted from the microalgae Chlorella sp. The analytes were measured continuously in-line and on-line using UV/Vis absorption spectroscopy measurements and by evaporative light scattering detection. Various pressures, temperatures, flow rates and fractions of ethanol as a co-solvent were evaluated. The extractable fraction of carotenoids, chlorophyll A and total lipids were dependent on... (More)

The fundamentals of analyte extractable fraction, solubility, partitioning and mass transfer resistance in supercritical fluid extraction were studied using inverse modeling. These phenomena are essential for understanding, predicting and optimizing the supercritical fluid extraction process. Carotenoids, chlorophyll A, ergosterol and total lipids were extracted from the microalgae Chlorella sp. The analytes were measured continuously in-line and on-line using UV/Vis absorption spectroscopy measurements and by evaporative light scattering detection. Various pressures, temperatures, flow rates and fractions of ethanol as a co-solvent were evaluated. The extractable fraction of carotenoids, chlorophyll A and total lipids were dependent on the co-solvent fraction in the extraction phase. The additional amount that could be extracted by using more co-solvent followed a normal distribution, indicating that analytes should not simply be categorized into weakly or strongly bound. The characteristics of diminishing extraction rates over time was accounted for by analyte partitioning rather than intra-particle diffusion limitations.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Extractable fraction, Inverse modeling, Kinetics, Partition isotherm, SFE
in
Journal of Supercritical Fluids
volume
139
pages
53 - 61
publisher
Elsevier
external identifiers
  • scopus:85047211348
ISSN
0896-8446
DOI
10.1016/j.supflu.2018.05.007
language
English
LU publication?
yes
id
3813c82a-216f-4434-ab65-f8722c73999a
date added to LUP
2018-06-04 09:22:35
date last changed
2019-01-14 16:19:43
@article{3813c82a-216f-4434-ab65-f8722c73999a,
  abstract     = {<p>The fundamentals of analyte extractable fraction, solubility, partitioning and mass transfer resistance in supercritical fluid extraction were studied using inverse modeling. These phenomena are essential for understanding, predicting and optimizing the supercritical fluid extraction process. Carotenoids, chlorophyll A, ergosterol and total lipids were extracted from the microalgae Chlorella sp. The analytes were measured continuously in-line and on-line using UV/Vis absorption spectroscopy measurements and by evaporative light scattering detection. Various pressures, temperatures, flow rates and fractions of ethanol as a co-solvent were evaluated. The extractable fraction of carotenoids, chlorophyll A and total lipids were dependent on the co-solvent fraction in the extraction phase. The additional amount that could be extracted by using more co-solvent followed a normal distribution, indicating that analytes should not simply be categorized into weakly or strongly bound. The characteristics of diminishing extraction rates over time was accounted for by analyte partitioning rather than intra-particle diffusion limitations.</p>},
  author       = {Abrahamsson, Victor and Cunico, Larissa P. and Andersson, Niklas and Nilsson, Bernt and Turner, Charlotta},
  issn         = {0896-8446},
  keyword      = {Extractable fraction,Inverse modeling,Kinetics,Partition isotherm,SFE},
  language     = {eng},
  month        = {05},
  pages        = {53--61},
  publisher    = {Elsevier},
  series       = {Journal of Supercritical Fluids},
  title        = {Multicomponent inverse modeling of supercritical fluid extraction of carotenoids, chlorophyll A, ergosterol and lipids from microalgae},
  url          = {http://dx.doi.org/10.1016/j.supflu.2018.05.007},
  volume       = {139},
  year         = {2018},
}