A fully electronic DNA sensor with 128 positions and in-pixel A/D conversion

Schienle, M.; Frey, Alexander; Hofmann, Franz; Holzapfl, B.; Paulus, Christian; Schindler-Bauer, P.; Thewes, R.

doi:10.1109/jssc.2004.837084

Cited by 189 publications

(103 citation statements)

References 18 publications

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“…In some arrangement, the intrinsic characteristics of the analytes ͑e.g., charge͒ are used to the capacitance ͑and accordingly the impedance͒ of the electrode-electrolyte interface, 13,[19][20][21][22] while in other arrangements, electroactive labels are used [23][24][25] to enhance the impedance changes. In Fig.…”

Section: A Impedimetric Biosensormentioning

confidence: 99%

On noise processes and limits of performance in biosensors

Hassibi

Vikalo

Hajimiri

2007

Journal of Applied Physics

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In this paper, we present a comprehensive stochastic model describing the measurement uncertainty, output signal, and limits of detection of affinity-based biosensors. The biochemical events within the biosensor platform are modeled by a Markov stochastic process, describing both the probabilistic mass transfer and the interactions of analytes with the capturing probes. To generalize this model and incorporate the detection process, we add noisy signal transduction and amplification stages to the Markov model. Using this approach, we are able to evaluate not only the output signal and the statistics of its fluctuation but also the noise contributions of each stage within the biosensor platform. Furthermore, we apply our formulations to define the signal-to-noise ratio, noise figure, and detection dynamic range of affinity-based biosensors. Motivated by the platforms encountered in practice, we construct the noise model of a number of widely used systems. The results of this study show that our formulations predict the behavioral characteristics of affinity-based biosensors which indicate the validity of the model.

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Section: A Impedimetric Biosensormentioning

confidence: 99%

On noise processes and limits of performance in biosensors

Hassibi

Vikalo

Hajimiri

2007

Journal of Applied Physics

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“…For this reason, nonlabeled sensing techniques have been proposed, where the matching of a sample to a probe creates a reaction (e.g., redox) yielding a variation of an electrical quantity (e.g., impedance, capacitance, current) that then can be measured by placing the sensor under the probe itself [13], [19], [85]. With this technology, it is possible to integrate sensing with readout electronics and signal processing on the same substrate [55], [117], [122]. Moreover, probes are organized as arrays, thus enabling parallel sampling.…”

Section: A Loc Designmentioning

confidence: 99%

An Outlook on Design Technologies for Future Integrated Systems

Micheli

2009

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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Abstract-The economic and social demand for ubiquitous and multifaceted electronic systems-in combination with the unprecedented opportunities provided by the integration of various manufacturing technologies-is paving the way to a new class of heterogeneous integrated systems, with increased performance and connectedness and providing us with gateways to the living world. This paper surveys design requirements and solutions for heterogeneous systems and addresses design technologies for realizing them.

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“…The results showed that the system can achieve a resolution of 0.01% on the capacitive shift evaluation. A DNA chip with 128 positions and fully electronic digital readout was investigated by Schienle et al [14]. The circuit consists of two flip-flops and an nMOS network.…”

Section: Introductionmentioning

confidence: 99%

Novel portable electrical detection system for DNA SENSOR application

Tam

Hong

Hieu

2012

Journal of Experimental Nanoscience

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A novel, portable, electrical detection system was constructed for DNA sensor application to detect DNA hybridisation. The read-out circuit consists of an analogue circuit and a digital circuit. The analogue circuit with an IC MAX038 generates a sine wave with a constant frequency (10 kHz), which serves as the input for the DNA sensor. The DNA sensor consists of active and reference sensors. DNA hybridisation between the DNA probe and the target sequences causes changes in the conductance of the conductive membrane (DNA/MWCNTs) on the sensor surface, which lead to changes in the amplitude of the sine wave from the sensor output compared with that of the reference signal output (input sine wave). We used a digital circuit with a microprocessor (PIC33FJ256MC710) to determine the change in the amplitude of the sine wave signal of the sensor. From these digital data, the difference in the amplitudes of the active and reference sensors was calculated and displayed on the liquid crystal display. Measurement results show that the portable electrical detection system can detect DNA target concentrations as low as 0.16 mM. The detection of the amplified polymerase chain reaction sample and the reproducibility of the DNA sensor results were also determined using the designed readout circuit. The proposed electrical detection system is suitable for DNA sensor application.

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A fully electronic DNA sensor with 128 positions and in-pixel A/D conversion

Cited by 189 publications

References 18 publications

On noise processes and limits of performance in biosensors

On noise processes and limits of performance in biosensors

An Outlook on Design Technologies for Future Integrated Systems

Novel portable electrical detection system for DNA SENSOR application

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