Elsevier

Solid-State Electronics

Volume 140, February 2018, Pages 109-114
Solid-State Electronics

Effect of liquid gate bias rising time in pH sensors based on Si nanowire ion sensitive field effect transistors

https://doi.org/10.1016/j.sse.2017.10.027Get rights and content

Highlights

Abstract

In this study, we investigate the effect of rising time (TR) of liquid gate bias (VLG) on transient responses in pH sensors based on Si nanowire ion-sensitive field-effect transistors (ISFETs). As TR becomes shorter and pH values decrease, the ISFET current takes a longer time to saturate to the pH-dependent steady-state value. By correlating VLG with the internal gate-to-source voltage of the ISFET, we found that this effect occurs when the drift/diffusion of mobile ions in analytes in response to VLG is delayed. This gives us useful insight on the design of ISFET-based point-of-care circuits and systems, particularly with respect to determining an appropriate rising time for the liquid gate bias.

Introduction

An important indicator in industries such as food, pharmaceutical, agriculture, biomedical, and environmental monitoring is pH; for example, variations in pH of human blood are signs of serious, potentially fatal diseases [1]. The solubility, stability, and permeability of a drug through biological membrane also depend on pH [2], and therefore, a precise pH measurement technique using a miniaturized sensor is essential. Furthermore, the solubility of heavy metals such as lead, zinc, and copper in soil is dependent on the pH [3], and therefore, pH measurement is important for managing the environment.

Ion-sensitive field-effect transistors (ISFETs) [4] have attracted considerable attention because of their compact structure, low-cost, and ease of fabrication. Recently, ISFET-based pH sensors have been successfully used in human genome sequencing [5], [6], [7]. The resolution of an ISFET-based pH sensor depends on its individual technology and geometry. Therefore, optimum operation of the sensor in complex analog circuits where biasing configuration may change over time needs to be anticipated. The transient response of an ISFET-based pH sensor is governed by two processes: the convection/diffusion of H+ ions to the sensor surface (diffusion time) and the response of the sensor to the changes in proton concentration on its surface (response time). Diffusion time depends on various factors that define the ion transport time to the sensor, such as flow rate and the size/shape of the fluidic channel. However, the transient response to time-varying liquid gate bias (VLG) has been rarely investigated despite its importance. To optimize the details of operation, particularly the choice of the saturation time of signals in the ISFET-based point-of-care (PoC) circuits, the influence of the rising time of VLG needs to be experimentally characterized. We studied ways to simplify the properties that may affect the way the sensor works. For example, we measured droplets before they entered the microfluidic channel. In this way, we could exclude complicated factors such as convection and diffusion in the analyte.

Conversely, the silicon nanowire (SiNW) ISFET-based biosensors have great potential as essential building blocks for real-time, label-free detection of biomolecules because of their advantages such as direct electrical readouts and high sensitivity and the potential to integrate them with complementary metal–oxide semiconductor (CMOS) circuits [8], [9], [10], [11]. Based on the top-down processing in the SiNW/CMOS hybrid circuitry, researchers have already demonstrated electrical optimization sensitivity [12], sensitivity boosting [13], voltage readout [14], noise cancellation [15], and simulation using commercial technology computer aided design (TCAD) [16]. It should therefore be noted that operating the SiNW ISFET in the saturation region is desirable for a robust analog front-end design, although the ISFET sensitivity itself can be better in the sub-threshold rather than the saturation region.

In this work, the influence of the VLG rising time (TR) on transient current response in the top-down processed SiNW ISFET-based pH sensors operating in the saturation region is investigated. By correlating VLG with the internal gate-to-source voltage of ISFET (VGS,int) at the electrolyte/insulator interface, we have gained new physical and chemical insights into the drift/diffusion of mobile ions in an electrolyte analyte.

Section snippets

SiNW ISFET: Fabrication and experiments

SiNW ISFET-based pH sensors were fabricated on a boron-doped (4 × 1015 cm−3) 6-inch (1 0 0) silicon-on-insulator wafer. The 100 nm-thick Si layer at the top was separated from the Si substrate by a 375 nm thick buried oxide (BOX). To build the buffer oxide as protection for implantation, a 20 nm thick SiO2 layer was formed on top of the Si layer by dry oxidation. As a result, the thickness of the top Si layer was reduced to 90 nm. Subsequently, channel implantation was conducted for the p-type

Results and discussion

The rate of time-varying ID can be formulated as follows:ID(t)t=VLG(t)t×VGS,int(t)VLG(t)×ID(t)VGS,int(t)where the first term of the right-hand side increases as TR becomes shorter. The second term suggests the delay of VGS,int in response to the time-varying VLG, which is due to the retardation of mobile ions in the electrolyte.

In the transient model of ISFETs, the second term is frequently modeled by combining the electrolyte resistance, double-layer capacitance, stern capacitance, and

Conclusion

The influence of both TR of VLG and pH on the transient ID response has been experimentally investigated in SiNW ISFET-based pH sensors. As TR becomes shorter and the pH value decreases, it takes a longer time for the ISFET current to saturate to the pH-dependent steady-state value. Before the time arrives at t = tsat,end, VGS,int deviates more from VLG in either of the two cases, the shorter TR case or the lower pH case. Our model, which is based on the time taken for mobile ions in the

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Education, Science and Technology, MEST) (Nos. 2016R1A5A1012966 and 2016R1A6A3A01006588). The CAD software was supported by SYNOPSYS and IDEC.

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