Determination of sialic acid and gangliosides in biological samples and dairy products: A review
Department of Nutrition and Food Chemistry, Faculty of Pharmacy, University of Valencia, Avda. Vicente Andrés Estellés s/n, 46100, Burjassot (Valencia), Spain Journal of pharmaceutical and biomedical analysis
(Impact Factor: 2.98).
01/2010; 51(2):346-357. DOI: 10.1016/j.jpba.2009.04.023
Gangliosides are sphingolipids containing one or more moieties of sialic acid in their structure. Both gangliosides and sialic acid are bioactive compounds related to animal physiology. Due to their biological relevance, analytical methods adapted to each type of matrix have been developed over time. The present study reviews the main methods applied to the analysis of sialic acid and gangliosides in biological samples and dairy products.
Available from: Julio Sampaio
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ABSTRACT: The split-spectrum processing (SSP) minimization algorithm has
been successfully used to enhance ultrasonic flaw detection. However,
this technique is fairly sensitive to the processing parameters,
especially the frequency region selected for processing. In the past,
the optimal spectral region could be obtained only by trial and error.
In the present work, the concept of the spectral histogram has been
introduced to achieve the optimal region automatically. In addition, it
has been shown that the spectral histogram for the SSP minimization
algorithm can be used to approximate the frequency response of this
nonlinear system in the statistical sense, which can be utilized for
obtaining a linear filter analogous to the Wiener filter. Experimental
data obtained by ultrasonic nondestructive testing show that the
proposed technique yields performance comparable to that obtained by a
trained operator using a trial and error approach, indicating its
feasibility in the automation of the SSP minimization algorithm
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