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dc.contributor.authorSaulia, Lenny
dc.contributor.authorTakeuchi, Toyohide
dc.date.accessioned2025-06-19T08:40:02Z
dc.date.available2025-06-19T08:40:02Z
dc.date.issued2025
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/162599
dc.description.abstractHydrodynamic chromatography (HDC) is one of the many techniques for particle size determination in the nanometer range. It will work for both solid and soluble samples, which are eluted according to their decreasing size (Revillon, 2000). As the need to develop a model for predicting behavior of a system arises in a number of disciplines. Most of the models were for solving prediction, control, diagnosis and design problems. It is also possible to develop a model for predicting behavior of HDC as a physical system. The model is considered may lead to economical benefits such as reduce chemist working time and materials needed for analysis. Several models to predict retention time have been proposed and tested using artificial neural network in ion chromatography (Bolanca et al, 2006). This study presents the development of elution time prediction model of HDC using dimensional analysis technique. ...id
dc.language.isoidid
dc.publisherDepartment of Agricultural Machinery and Biosystem, IPB Universityid
dc.titleDetermination Of Elution Time Prediction Model Of Hydrodynamic Chromatography Through Dimensional Analysisid
dc.typeArticleid


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