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Can I read Label-free Detection of Biomolecules on Microarrays Using Surface–colloid Interaction on EtoBox?

Label-free Detection of Biomolecules on Microarrays Using Surface–colloid Interaction by Ye Sun; K. Bruce Jacobson; Val Golovlev is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Label-free Detection of Biomolecules on Microarrays Using Surface–colloid Interaction about?

Binding of charged nanoparticles to nonmodified DNA and RNA target molecules on microarrays allows detection of these nucleic acids by locating bound nanoparticles on microarray surface. Two computational models have been developed to study the ionic interaction of colloidal particles and biopolymer molecules on a microarray surface. One model represents a basic approach based on mass action law for simulation charge effects versus the chemical composition of the interacting array surface and nanoparticle. The second model is implementation of the advanced Gouy-Chapman-Stern-Graham model for describing effects on liquid-solid interface. We found that both models predict selective binding of colloidal particles to large target molecules on the surface with no binding to smaller capture molecules. This binding regime is considered to be very beneficial for application of charged nanoparticles for detection of nonmodified DNA and RNA target molecules on microarrays. The theoretical considerations are in qualitative agreement with the experimental results for detecting large target DNA and a 50-base long synthetic oligonucleotide on the amino-modified microarray substrate. The experime

Who reads Label-free Detection of Biomolecules on Microarrays Using Surface–colloid Interaction?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Ye Sun; K. Bruce Jacobson; Val Golovlev
Publisher
Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0003-2697)
Published
2007
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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