Please use this identifier to cite or link to this item: https://doi.org/10.1007/s12541-012-0054-y
DC FieldValue
dc.titleStudy of time-dependent characteristics of a syllectogram in the presence of aggregation inhibition
dc.contributor.authorOng, P.K.
dc.contributor.authorJain, S.
dc.contributor.authorNamgung, B.
dc.contributor.authorKim, S.
dc.contributor.authorChun, K.J.
dc.contributor.authorChu, J.-U.
dc.contributor.authorLim, D.
dc.date.accessioned2014-10-08T09:48:00Z
dc.date.available2014-10-08T09:48:00Z
dc.date.issued2012-03
dc.identifier.citationOng, P.K., Jain, S., Namgung, B., Kim, S., Chun, K.J., Chu, J.-U., Lim, D. (2012-03). Study of time-dependent characteristics of a syllectogram in the presence of aggregation inhibition. International Journal of Precision Engineering and Manufacturing 13 (3) : 421-428. ScholarBank@NUS Repository. https://doi.org/10.1007/s12541-012-0054-y
dc.identifier.issn12298557
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/88141
dc.description.abstractRed blood cell aggregation is an important risk indicator of cardiovascular diseases, which can be quantified by dynamical parameters derived from a time-dependent light transmission profile (syllectogram). This study tests the hypothesis that inhibitory factors on the aggregation process of the blood could greatly alter the dynamical information provided by the syllectogram and highlights the possible limitations in utilizing time-dependent photometric methods for quantifying aggregation. The concept of AI win (aggregation index) that has been used in conventional aggregometers to determine the extent of aggregation within a 12-s standard time period was distinguished from AI (aggregation index) derived from the aggregating phase of syllectogram. Apparent time delays in shape recovery and aggregating phases were observed at high levels of aggregation inhibition (high medium viscosity) which accounted for the discrepancy between AI and AI win. In the presence of a small shear (3 s-1), this discrepancy diminished. Fractal analysis was used to validate the aggregation results obtained from the syllectogram. AI was found to better depict the extent of aggregation compared to AI win. © KSPE and Springer 2012.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s12541-012-0054-y
dc.sourceScopus
dc.subjectAggregometer
dc.subjectDextran
dc.subjectFractal analysis
dc.subjectRed blood cell
dc.typeArticle
dc.contributor.departmentBIOENGINEERING
dc.description.doi10.1007/s12541-012-0054-y
dc.description.sourcetitleInternational Journal of Precision Engineering and Manufacturing
dc.description.volume13
dc.description.issue3
dc.description.page421-428
dc.identifier.isiut000300961800014
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