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Striking Algal Oil 4

A more precise and easier method of selecting the right algaal strain is now possible by using Near Infrared Light.
Some Algae strains may contain 50% of their body weight as oil or some just 5 %.What's more the oil has to be rich in fatty acid if it needs to be converted to biodiesl.
with the help of this tool selecting the right strain becomes simpler and time saving.
Mon August 23 2010 06:14:41 AM by Veronica algal oil  |  algae selection 1856 views

Comments - 3

  • Shankar wrote:
    Mon August 23 2010 06:24:02 AM

    The NIR method is supposed to be extremely accurate and specific for the detection of different kinds of fatty acids and it is supposed to develop a large database of fingerprints for different fatty acid components in algal biomass, with which to analyse actual algae.

    It offers a rapid and precise screening of algae directly instead of the existing prolonged, involved and error-prone means for analyzing algae, and may prove critical in the blossoming of a fuel industry based on algae.


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  • Aathmika wrote:
    Tue August 24 2010 12:38:19 PM


    A large number of algal biofuels projects rely on a lipid screening technique for selecting a particular algal strain with which to work.

    We have developed a multivariate calibration model for predicting the levels of spiked neutral and polar lipids in microalgae, based on infrared (both near-infrared (NIR) and Fourier transform infrared (FTIR)) spectroscopy.

    The advantage of an infrared spectroscopic technique over traditional chemical methods is the direct, fast, and non-destructive nature of the screening method.

    This calibration model provides a fast and high-throughput method for determining lipid content, providing an alternative to laborious traditional wet chemical methods.

    We present data of a study based on nine levels of exogenous lipid spikes (between 1% and 3% (w/w)) of trilaurin as a triglyceride and phosphatidylcholine as a phospholipid model compound in lyophilized algal biomass.

    We used a chemometric approach to corrrelate the main spectral changes upon increasing phospholipid and triglyceride content in algal biomass collected from single species.

    A multivariate partial least squares (PLS) calibration model was built and improved upon with the addition of multiple species to the dataset.

    Our results show that NIR and FTIR spectra of biomass from four species can be used to accurately predict the levels of exogenously added lipids.

    It appears that the cross-species verification of the predictions is more accurate with the NIR models (R 2 = 0.969 and 0.951 and RMECV = 0.182 and 0.227% for trilaurin and phosphatidylcholine spike respectively), compared with FTIR (R 2 = 0.907 and 0.464 and RMECV = 0.302 and 0.767% for trilaurin and phosphatidylcholine spike, respectively).

    A fast high-throughput spectroscopic lipid fingerprinting method can be applied in a multitude of screening efforts that are ongoing in the microalgal research community.

    source http://www.springerlink.com/content/y82t52k467l3j36g/

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  • Larsyn wrote:
    Tue August 24 2010 02:44:23 PM

    Maybe its what ever your purpose. A wide variety of algae may use a wider spectrum of nutrients in a remediation situation. A single vasriety may use a very narrow nutrient base.

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