Linked Life Data

20389654

Source:http://linkedlifedata.com/resource/pubmed/id/20389654

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2010-4-14
pubmed:abstractText
Small, dense low-density lipoprotein (sdLDL) in total LDL is strongly related with the cardiovascular risk level. An optical technique using dynamic light scattering (DLS) measurement is useful for point-of-care testing of sdLDL. However, the sdLDL fraction estimated from the particle size distribution in DLS data is sensitive to noise and artifacts. Therefore, we derived analytical solutions in a closed form to estimate the fraction of scatterers using the autocorrelation function of scattered light from a polydisperse solution. The effect of the undesired large particles can be eliminated by the pre-processing of the autocorrelation function. The proposed technique was verified using latex standard particles and LDL solutions. Results suggest the feasibility of this technique to estimate the sdLDL fraction using optical scattering measurements.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1094-4087
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6315-26
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Fraction estimation of small, dense LDL using autocorrelation function of dynamic light scattering.
pubmed:affiliation
Graduate School of Information Science and Technology, Hokkaido University, W9, N14, Kita-ku, Sapporo060-0814, Japan. suchin@bme.ist.hokudai.ac.jp
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't