Microdevice with integrated dialysis probe and biosensor array for continuous multi-analyte monitoring

2003 ◽  
Vol 18 (5-6) ◽  
pp. 613-619 ◽  
Author(s):  
P.S. Petrou ◽  
I. Moser ◽  
G. Jobst
Keyword(s):  
Biosensor Array

Computer Simulation of Amperometric Biosensor Response to Mixtures of Compounds

2002 ◽  
Vol 7 (2) ◽  
pp. 3-14 ◽  
Author(s):  
R. Baronas ◽  
J. Christensen ◽  
F. Ivanauskas ◽  
J. Kulys
Keyword(s):  
Computer Simulation ◽  
Enzymatic Reaction ◽  
Diffusion Equations ◽  
Response Data ◽  
Finite Difference Technique ◽  
Stationary Diffusion ◽  
Biosensor Array ◽  
Menten Kinetic ◽  
Biosensor Response

A mathematical model of amperometric biosensors has been developed. The model bases on non-stationary diffusion equations containing a non-linear term related to Michaelis-Menten kinetic of the enzymatic reaction. The model describes the biosensor response to mixtures of multiple compounds in two regimes of analysis: batch and flow injection. Using computer simulation, large amount of biosensor response data were synthesised for calibration of a biosensor array to be used for characterization of wastewater. The computer simulation was carried out using the finite difference technique.

scholarly journals Bio-Separated and Gate-Free 2D MoS2 Biosensor Array for Ultrasensitive Detection of BRCA1

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 545
Author(s):  
Yi Zhang ◽  
Wei Jiang ◽  
Dezhi Feng ◽  
Chenguang Wang ◽  
Yi Xu ◽  
...  
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Chemical Vapor ◽  
Signal Interference ◽  
Ultrasensitive Detection ◽  
Chemical Vapor Deposition Growth ◽  
Biosensor Array ◽  
Growth Method ◽  
Biological Modification ◽  
Biological Solutions

2D molybdenum disulfide (MoS2)-based thin film transistors are widely used in biosensing, and many efforts have been made to improve the detection limit and linear range. However, in addition to the complexity of device technology and biological modification, the compatibility of the physical device with biological solutions and device reusability have rarely been considered. Herein, we designed and synthesized an array of MoS2 by employing a simple-patterned chemical vapor deposition growth method and meanwhile exploited a one-step biomodification in a sensing pad based on DNA tetrahedron probes to form a bio-separated sensing part. This solves the signal interference, solution erosion, and instability of semiconductor-based biosensors after contacting biological solutions, and also allows physical devices to be reused. Furthermore, the gate-free detection structure that we first proposed for DNA (BRCA1) detection demonstrates ultrasensitive detection over a broad range of 1 fM to 1 μM with a good linear response of R2 = 0.98. Our findings provide a practical solution for high-performance, low-cost, biocompatible, reusable, and bio-separated biosensor platforms.

scholarly journals Simultaneous Profiling of DNA Mutation and Methylation by Melting Analysis Using Magnetoresistive Biosensor Array

ACS Nano ◽  
2017 ◽  
Vol 11 (9) ◽  
pp. 8864-8870 ◽  
Author(s):  
Giovanni Rizzi ◽  
Jung-Rok Lee ◽  
Christina Dahl ◽  
Per Guldberg ◽  
Martin Dufva ◽  
...  
Keyword(s):  
Dna Mutation ◽  
Biosensor Array ◽  
Melting Analysis

scholarly journals High-throughput impedance spectroscopy biosensor array chip

2014 ◽  
Vol 372 (2012) ◽  
pp. 20130107 ◽  
Author(s):  
Xiaowen Liu ◽  
Lin Li ◽  
Andrew J. Mason
Keyword(s):  
Impedance Spectroscopy ◽  
Complementary Metal Oxide Semiconductor ◽  
Cellular Membrane ◽  
Measurement Range ◽  
Oxide Semiconductor ◽  
Fully Integrated ◽  
Impedance Response ◽  
Biosensor Array ◽  
Impedance Extraction ◽  
Dependent Behaviour

Impedance spectroscopy is a powerful tool for characterizing materials that exhibit a frequency dependent behaviour to an applied electric field. This paper introduces a fully integrated multi-channel impedance extraction circuit that can both generate AC stimulus signals over a broad frequency range and also measure and digitize the real and imaginary components of the impedance response. The circuit was fabricated in a 0.5 μm complementary metal-oxide semiconductor. Tailored for cellular membrane interface characterization, the signal generator produces sinusoidal waves from 10 mHz to 10 kHz. To suit a variety of applications, the impedance extraction circuit provides a programmable current measurement range from 100 pA to 100 nA with a measured resolution of approximately 100 fA. Occupying only 0.045 mm 2 per measurement channel, the circuit is compact enough to include nearly 200 channels in a 3×3 mm 2 die area.

Optical biosensor array based on natural ion channels

2003 ◽  
Author(s):  
Cordelia A. Zimmerer ◽  
Hans-Georg Braun ◽  
Marco Kitsche ◽  
Gerald Steiner ◽  
Steffen Friedrich ◽  
...  
Keyword(s):  
Ion Channels ◽  
Optical Biosensor ◽  
Biosensor Array

Neural Networks for an Analysis of the Hemometabolites Biosensor Response

2013 ◽  
Vol 4 (4) ◽  
pp. 84-101 ◽  
Author(s):  
José Renato Garcia Braga ◽  
Alexandre Carlos Brandão Ramos ◽  
Alvaro Antonio Alencar de Queiroz ◽  
Demétrio Artur Werner Soares ◽  
Marília de Campos Bataglini
Keyword(s):  
Electrical Signal ◽  
Neural Nets ◽  
Platinum Electrodes ◽  
Response Curves ◽  
Biosensor Arrays ◽  
Biosensor Array ◽  
On Line ◽  
Recorded Data ◽  
Highly Correlated ◽  
Biosensor Response

In this work, the concentration dependent response of amperometric biosensor array for the biomarkers glucose, cholesterol and urease was explored, using artificial neural nets (ANN). The aim was to explore an array of amperometric biosensors for the discrimination of the biomarkers glucose, cholesterol and urea in blood. Seven out of eight platinum electrodes on the array were modified with four different enzymes; glucose oxidase, cholesterol, urease and peroxidase. The dynamic biosensor response curves from the eight sensors were used for ANN analysis. The ANN were applied to an analysis of the biosensor response to multi-biomarkers mixtures the ANN was able to detect the conditions with an accuracy up to 90%. The results obtained by using ANN to interpret the electrical signal of the developed biosensor arrays leads to the conclusion that: i) after training the ANN, the evaluation of recorded data are on-line, ii) microelectrode sites which are highly correlated to the information about the concentrations within the recorded signals was identified, iii) the recognition of blood biomarkers is improved by using the ANN.

scholarly journals A Conductometric Indium Oxide Semiconducting Nanoparticle Enzymatic Biosensor Array

Sensors ◽  
2011 ◽  
Vol 11 (10) ◽  
pp. 9300-9312 ◽  
Author(s):  
Dongjin Lee ◽  
Janet Ondrake ◽  
Tianhong Cui
Keyword(s):  
Indium Oxide ◽  
Biosensor Array ◽  
Enzymatic Biosensor
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