2013
DOI: 10.1016/j.bios.2012.06.051
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An optimised electrochemical biosensor for the label-free detection of C-reactive protein in blood

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Cited by 198 publications
(118 citation statements)
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References 37 publications
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“…12, clearly demonstrate that this module can be used as a label-free biosensor. While NeutrAvidin itself is not a particularly useful biomarker, due to the mechanism of the biotin-avidin bonding, the results of this model assay demonstrate that this device can be generalized and used in most label-free affinity assays already developed [45]- [47].…”
Section: Label-free Assaymentioning
confidence: 96%
“…12, clearly demonstrate that this module can be used as a label-free biosensor. While NeutrAvidin itself is not a particularly useful biomarker, due to the mechanism of the biotin-avidin bonding, the results of this model assay demonstrate that this device can be generalized and used in most label-free affinity assays already developed [45]- [47].…”
Section: Label-free Assaymentioning
confidence: 96%
“…9,11 In more recent work we have demonstrated that these capabilities can be incorporated into both the analysis of real patient samples and the simultaneous detection of multiple markers. 11,[17][18][19][20][21] Faradaic EIS assays are almost exclusively based on analysing the parameter of charge transfer resistance (R ct ) obtained by fitting the acquired current signal to a Randles equivalent circuit (see SI Figure 1 for details) , 22,23 while non-faradaic analyses most typically use modulus of the impedance (|Z|), double layer capacitance (C dl ) or phase (ϕ) as sampling functions. 9,[24][25][26][27] In both approaches a phenomenological model based either on an equivalent circuit 28 or continuum scheme derived from microscopic Poisson-Nernst-Plank continuum equations (using conventional or alternative approaches for diffusional activity) [29][30][31] can be applied from which physical parameters can be extracted.…”
Section: Introdutionmentioning
confidence: 97%
“…a generic input/output signal) beyond traditional EIS approaches 11,19,[32][33][34][35] and specifically none which do not require a premodelling of any given interface of interest. We show herein, that, in applying the transfer function concept to EIS datasets it is not only possible to extract analytically potent information but to also automate this without being limited to the confines of a specific physical model.…”
Section: Introdutionmentioning
confidence: 99%
“…It is defined as a group of metabolic diseases where ultimately the body's pancreas does not produce enough insulin or does not properly respond to insulin produced, resulting in high blood sugar levels over a prolonged period. Glucose meters and other POC devices utilize an assortment of methods for detecting and monitoring biomarkers including electrochemical [16][17][18][19][20], magnetic [21][22][23][24][25][26][27][28][29][30], optical [31][32][33][34], label-free spectroscopic analysis [35][36][37][38][39][40][41][42][43], colorimetric [44][45][46][47][48][49], and plasmonic nanoparticle based sensors [50][51][52]. Generally, electrochemical detection uses potentiometric, amperometric, and impedimetric measurements in conjunction with electroactive tags or free flowing electroactive analytes [17][18][19][20] [15,53,54] are examples of electrochemical and colorimet...…”
Section: Current Commercial Poc Technologiesmentioning
confidence: 99%