Kinetic analysis of biomolecular interactions using label-free biosensors

Yung Shin Sun, X. D. Zhu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

One key advantage of label-free biosensors involves the monitoring of binding between biomolecules. However, a number of experimental artifacts may lead to complicated real-time curves that do not fit well to a simple Langmuir model. As a result, the quality of the kinetic data must be improved to obtain accurate reaction rates. By carefully designing experiments, collecting the data, and processing the data, issues arising from signal drift, nonspecific binding, mass-transport effect in solution, mass-transport effect on surface, and curve fitting may be avoided or resolved. Using a label-free oblique-incidence reflectivity difference biosensor, key processes required to obtain reliable kinetic data and accurate reaction rates are described.

Original languageEnglish (US)
Pages (from-to)255-267
Number of pages13
JournalInstrumentation Science and Technology
Volume43
Issue number2
DOIs
StatePublished - Mar 4 2015

Fingerprint

bioinstrumentation
Biosensors
Reaction rates
Labels
reaction kinetics
Mass transfer
kinetics
Kinetics
curve fitting
Curve fitting
Biomolecules
mass transport
reaction rate
artifacts
incidence
interactions
reflectance
Monitoring
curves
Processing

Keywords

  • Biosensor
  • Kinetics
  • Label-free
  • Langmuir model
  • Reaction rates

ASJC Scopus subject areas

  • Instrumentation
  • Chemical Engineering(all)
  • Environmental Science(all)

Cite this

Kinetic analysis of biomolecular interactions using label-free biosensors. / Sun, Yung Shin; Zhu, X. D.

In: Instrumentation Science and Technology, Vol. 43, No. 2, 04.03.2015, p. 255-267.

Research output: Contribution to journalArticle

@article{c1b8682720894d4691e0bab27fe975a1,
title = "Kinetic analysis of biomolecular interactions using label-free biosensors",
abstract = "One key advantage of label-free biosensors involves the monitoring of binding between biomolecules. However, a number of experimental artifacts may lead to complicated real-time curves that do not fit well to a simple Langmuir model. As a result, the quality of the kinetic data must be improved to obtain accurate reaction rates. By carefully designing experiments, collecting the data, and processing the data, issues arising from signal drift, nonspecific binding, mass-transport effect in solution, mass-transport effect on surface, and curve fitting may be avoided or resolved. Using a label-free oblique-incidence reflectivity difference biosensor, key processes required to obtain reliable kinetic data and accurate reaction rates are described.",
keywords = "Biosensor, Kinetics, Label-free, Langmuir model, Reaction rates",
author = "Sun, {Yung Shin} and Zhu, {X. D.}",
year = "2015",
month = "3",
day = "4",
doi = "10.1080/10739149.2014.976830",
language = "English (US)",
volume = "43",
pages = "255--267",
journal = "Instrumentation Science and Technology",
issn = "1073-9149",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

TY - JOUR

T1 - Kinetic analysis of biomolecular interactions using label-free biosensors

AU - Sun, Yung Shin

AU - Zhu, X. D.

PY - 2015/3/4

Y1 - 2015/3/4

N2 - One key advantage of label-free biosensors involves the monitoring of binding between biomolecules. However, a number of experimental artifacts may lead to complicated real-time curves that do not fit well to a simple Langmuir model. As a result, the quality of the kinetic data must be improved to obtain accurate reaction rates. By carefully designing experiments, collecting the data, and processing the data, issues arising from signal drift, nonspecific binding, mass-transport effect in solution, mass-transport effect on surface, and curve fitting may be avoided or resolved. Using a label-free oblique-incidence reflectivity difference biosensor, key processes required to obtain reliable kinetic data and accurate reaction rates are described.

AB - One key advantage of label-free biosensors involves the monitoring of binding between biomolecules. However, a number of experimental artifacts may lead to complicated real-time curves that do not fit well to a simple Langmuir model. As a result, the quality of the kinetic data must be improved to obtain accurate reaction rates. By carefully designing experiments, collecting the data, and processing the data, issues arising from signal drift, nonspecific binding, mass-transport effect in solution, mass-transport effect on surface, and curve fitting may be avoided or resolved. Using a label-free oblique-incidence reflectivity difference biosensor, key processes required to obtain reliable kinetic data and accurate reaction rates are described.

KW - Biosensor

KW - Kinetics

KW - Label-free

KW - Langmuir model

KW - Reaction rates

UR - http://www.scopus.com/inward/record.url?scp=84921478603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84921478603&partnerID=8YFLogxK

U2 - 10.1080/10739149.2014.976830

DO - 10.1080/10739149.2014.976830

M3 - Article

AN - SCOPUS:84921478603

VL - 43

SP - 255

EP - 267

JO - Instrumentation Science and Technology

JF - Instrumentation Science and Technology

SN - 1073-9149

IS - 2

ER -