2007
DOI: 10.1016/j.snb.2006.11.002
|View full text |Cite
|
Sign up to set email alerts
|

An analytic model of the dynamic response of mass-sensitive chemical sensors

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2010
2010
2016
2016

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(7 citation statements)
references
References 7 publications
0
7
0
Order By: Relevance
“…Detection technologies may vary, but are typically based on optical or electrochemical principles [2]. A variety of mathematical models have been developed for simulating and characterizing responses from enzyme-based biosensors [3][4][5][6] and from gravimetric biosensors [7][8][9]. These mathematical models generally describe three main processes: the diffusive characteristics of the sensor layers, the kinetics of substrate/active site binding, and the electrochemical reaction kinetics at the electrode.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Detection technologies may vary, but are typically based on optical or electrochemical principles [2]. A variety of mathematical models have been developed for simulating and characterizing responses from enzyme-based biosensors [3][4][5][6] and from gravimetric biosensors [7][8][9]. These mathematical models generally describe three main processes: the diffusive characteristics of the sensor layers, the kinetics of substrate/active site binding, and the electrochemical reaction kinetics at the electrode.…”
Section: Introductionmentioning
confidence: 99%
“…These mathematical models generally describe three main processes: the diffusive characteristics of the sensor layers, the kinetics of substrate/active site binding, and the electrochemical reaction kinetics at the electrode. The models have been used to improve sensor response time [4,[7][8][9], to optimize important sensor design factors [3,7], or to identify conditions where the behaviour of the sensor changes [5]. Biosensor models are also necessary for converting the raw sensor response signal into an analytical value that quantifies the presence of analyte in the sample.…”
Section: Introductionmentioning
confidence: 99%
“…In many cases, the molecule diffusion is the dominant process and the reaction of the molecules at the binding sites can be neglected in comparison [10]. The solution of the reaction-diffusion equations under this assumption leads to a linear time-invariant (LTI) model for the sensor with c a (t) as input quantity and f m (t) as output quantity [11]. Therefore, the complete theory of LTI systems may be applied to SAW chemical sensors.…”
Section: System-level Approachesmentioning
confidence: 99%
“…Other models rely on the physical model in which the energy domains of the sensors are described by means of electrical equivalents [5].…”
Section: Introductionmentioning
confidence: 99%