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Dive into the research topics where Owain Thomas is active.

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Featured researches published by Owain Thomas.


Nanotechnology | 2016

Effect of subthreshold slope on the sensitivity of nanoribbon sensors

Kai Sun; Ioannis Zeimpekis; Chunxiao Hu; N.M.J. Ditshego; Owain Thomas; M.R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn

In this work, we investigate how the sensitivity of a nanowire or nanoribbon sensor is influenced by the subthreshold slope of the sensing transistor. Polysilicon nanoribbon sensors are fabricated with a wide range of subthreshold slopes and the sensitivity is characterized using pH measurements. It is shown that there is a strong relationship between the sensitivity and the device subthreshold slope. The sensitivity is characterized using the current sensitivity per pH, which is shown to increase from 1.2% ph(-1) to 33.6% ph(-1) as the subthreshold slope improves from 6.2 V dec(-1) to 0.23 V dec(-1) respectively. We propose a model that relates current sensitivity per pH to the subthreshold slope of the sensing transistor. The model shows that sensitivity is determined only on the subthreshold slope of the sensing transistor and the choice of gate insulator. The model fully explains the values of current sensitivity per pH for the broad range of subthreshold slopes obtained in our fabricated nanoribbon devices. It is also able to explain values of sensitivity reported in the literature, which range from 2.5% pH(-1) to 650% pH(-1) for a variety of nanoribbon and nanowire sensors. Furthermore, it shows that aggressive device scaling is not the key to high sensitivity. For the first time, a figure-of-merit is proposed to compare the performance of nanoscale field effect transistor sensors fabricated using different materials and technologies.


IEEE Transactions on Electron Devices | 2014

Three-Mask Polysilicon Thin-Film Transistor Biosensor

Kai Sun; Ioannis Zeimpekis; Marta Lombardini; N.M.J. Ditshego; Stuart Pearce; Kian Shen Kiang; Owain Thomas; Maurits R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn

Biosensors are commonly produced using a siliconon-insulator (SOI) CMOS process and advanced lithography to define nanowires. In this paper, a simpler and cheaper junctionless three-mask process is investigated, which uses thin-film technology to avoid the use of SOI wafers, in situ doping to avoid the need for ion implantation and direct contact to a low-doped polysilicon film to eliminate the requirement for heavily doped source/drain contacts. Furthermore, TiN is used to contact the biosensor source/drain because it is a hard resilient material that allows the biosensor chip to be directly connected to a printed circuit board without wire bonding. pH sensing experiments, combined with device modeling, are used to investigate the effects of contact and series resistance on the biosensor performance, as this is a key issue when contacting directly to low-doped silicon. It is shown that in situ phosphorus doping concentrations in the range 4 × 1017-3 × 1019 cm-3 can be achieved using 0.1% PH3 flows between 4 and 20 sccm. Furthermore, TiN makes an ohmic contact to the polysilicon even at the bottom end of this doping range. Operation as a biosensor is demonstrated by the detection of C-reactive protein, an inflammatory biomarker for respiratory disease.


Nanotechnology | 2016

Dual-gate polysilicon nanoribbon biosensors enable high sensitivity detection of proteins

Ioannis Zeimpekis; Kai Sun; Chunxiao Hu; N.M.J. Ditshego; Owain Thomas; M.R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn

We demonstrate the advantages of dual-gate polysilicon nanoribbon biosensors with a comprehensive evaluation of different measurement schemes for pH and protein sensing. In particular, we compare the detection of voltage and current changes when top- and bottom-gate bias is applied. Measurements of pH show that a large voltage shift of 491 mV pH(-1) is obtained in the subthreshold region when the top-gate is kept at a fixed potential and the bottom-gate is varied (voltage sweep). This is an improvement of 16 times over the 30 mV pH(-1) measured using a top-gate sweep with the bottom-gate at a fixed potential. A similar large voltage shift of 175 mV is obtained when the protein avidin is sensed using a bottom-gate sweep. This is an improvement of 20 times compared with the 8.8 mV achieved from a top-gate sweep. Current measurements using bottom-gate sweeps do not deliver the same signal amplification as when using bottom-gate sweeps to measure voltage shifts. Thus, for detecting a small signal change on protein binding, it is advantageous to employ a double-gate transistor and to measure a voltage shift using a bottom-gate sweep. For top-gate sweeps, the use of a dual-gate transistor enables the current sensitivity to be enhanced by applying a negative bias to the bottom-gate to reduce the carrier concentration in the nanoribbon. For pH measurements, the current sensitivity increases from 65% to 149% and for avidin sensing it increases from 1.4% to 2.5%.


Archive | 2016

Dataset for Dual-Gate Polysilicon Nanoribbon Biosensors Enable High Sensitivity Detection of Proteins

Ioannis Zeimpekis-Karakonstantinos; Kai Sun; Chunxiao Hu; Jack Nonofo Ditshego; Owain Thomas; Maurits R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn

We demonstrate the advantages of dual-gate polysilicon nanoribbon biosensors with a comprehensive evaluation of different measurement schemes for pH and protein sensing. In particular, we compare the detection of voltage and current changes when top- and bottom-gate bias is applied. Measurements of pH show that a large voltage shift of 491 mV/pH is obtained in the subthreshold region when the top-gate is kept at a fixed potential and the bottom-gate is varied (voltage sweep). This is an improvement of 16 times over the 30 mV/pH measured using a top-gate sweep with the bottom-gate at a fixed potential. A similar large voltage shift of 175 mV is obtained when the protein avidin is sensed using a bottom-gate sweep. This is an improvement of 20 times compared with the 8.8 mV achieved from a top-gate sweep. Current measurements using bottom-gate sweeps do not deliver the same signal amplification as when using bottom-gate sweeps to measure voltage shifts. Thus, for detecting a small signal change on protein binding, it is advantageous to employ a double-gate transistor and to measure a voltage shift using a bottom-gate sweep. For top-gate sweeps, the use of a dual-gate transistor enables the current sensitivity to be enhanced by applying a negative bias to the bottom-gate to reduce the carrier concentration in the nanoribbon. For pH measurements, the current sensitivity increases from 65% to 149% and for avidin sensing it increases from 1.4% to 2.5%.


Nanoscale Research Letters | 2015

Study of parasitic resistance effects in nanowire and nanoribbon biosensors

Ioannis Zeimpekis; Kai Sun; Chunxiao Hu; Owain Thomas; Maurits R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn


Microelectronic Engineering | 2016

Low-cost top-down zinc oxide nanowire sensors through a highly transferable ion beam etching for healthcare applications

Kai Sun; Ioannis Zeimpekis; Chunxiao Hu; N.M.J. Ditshego; Owain Thomas; M.R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn


Physica Status Solidi (a) | 2015

Nanoparticle and nanosphere mask for etching of ITO nanostructures and their reflection properties

Cigang Xu; Ligang Deng; Adam Holder; Louise R. Bailey; Caspar Leendertz; Joachim Bergmann; Gary Proudfoot; Owain Thomas; Robert Gunn; Mike Cooke


Archive | 2015

Top-down zinc oxide nanowires by ion beam etching for biosensing applications

Kai Sun; Ioannis Zeimpekis; N.M.J. Ditshego; Chunxiao Hu; Owain Thomas; Maurits R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn


Archive | 2014

Top-down polysilicon nanowires by ion beam etching for biosensing applications

Kai Sun; Ioannis Zeimpekis; Chunxiao Hu; Owain Thomas; Maurits R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn


Archive | 2014

A differential measurement technique to eliminate parasitic resistance effects in ion sensitive sensors

Ioannis Zeimpekis; Kai Sun; Chunxiao Hu; Owain Thomas; Maurits R.R. de Planque; Harold Chong; Hywel Morgan; P. Ashburn

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Harold Chong

University of Southampton

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Hywel Morgan

University of Southampton

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Kai Sun

University of Southampton

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P. Ashburn

University of Southampton

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Chunxiao Hu

University of Southampton

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N.M.J. Ditshego

University of Southampton

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