Effect of Functional Groups on the Sensing Properties of Silicon Nanowires toward Volatile Compounds

Wang, Bin; Haick, Hossam

doi:10.1021/am4004649

Cited by 70 publications

(114 citation statements)

References 55 publications

(88 reference statements)

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“…The high sensitivity, low-power consumption, fast-response times, and the compatibility with conventional silicon technology and readout circuitry, have the potential to get SiNW FETs to give us simple signal transductions of disease breathprints, as well as being amenable to miniaturization and scalability. [45][46][47][48][49][50] Results and Discussion…”

Section: Analysis Of the Clinical Samples Showed That The Optimized Smentioning

confidence: 99%

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

et al. 2016

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Abstract:Two of the biggest challenges in medicine today are the need to detect diseases in a non-invasive manner, and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularlymodified Silicon Nanowire Field Effect Transistors (SiNW FETs) and showing its use in the detection and classification of many disease breathprints (lung cancer, gastric cancer, asthma and Chronic Obstructive Pulmonary Disease). The fabricated SiNW FETs are characterized and optimized based on a training set that correlated their sensitivity and selectivity towards volatile organic compounds (VOCs) linked with diseased states. The best sensors obtained in the training set are then examined under real-world clinical conditions, using breath samples from 374 subjects. Analysis of the clinical samples showed that the optimized SiNW FETs can detectand discriminate between almost all binary comparisons of the diseases under examination with >80% accuracy. Overall, this approach has the potential to support detection of many diseases in a direct positive way, which can reassure patients and prevent numerous negative investigations. 3Physicians are always challenged by the need to give the correct diagnosis as early in the onset of a disease is possible, whether the disease-related symptoms are absent or not evident.1 Symptoms are not always characteristic of one particular disease; overlap of symptoms is common in, for example, lung diseases. 2 Patients with different respiratory diseases, such as malignant or benign tumors, or substantially less severe diseases, may have similar symptoms, e.g. cough, chest pain, difficulty to breathe, etc. These symptoms may be characteristic of lung cancer (LC), pneumonia, asthma, and chronic obstructive pulmonary disease (COPD). 1,2Therefore, it is of particular clinical importance to find a diagnostic tool capable of distinguishing between these diseases. A diagnostic tool that involves no needle, surgery and/or active materials and/or radioactive exposure would have a benefit.A highly promising approach that could meet the aforementioned need is based on the detection and classification of the disease breathprint, viz. the chemical profiles of highly-and semi-VOCs in exhaled breath linked with disease. [3][4][5][6][7][8][9][10][11][12][13][14][15] The rationale behind this approach relies on the fact that VOCs generated by cellular metabolic pathways during a specific disease circulate in the blood stream and diffuse into exhaled breath, which is easily sampled. 4,16,17 In certain instances, analysis of breathprints offers several potential advantages, such as: (a) breath samples are non-invasive and easy to obtain; (b) breath contains less complicated mixtures than either serum or urine; and (c) breath testing has the potential for direct and real-time diagnosis and monitoring. 3,18-21Several mass-spectrometry and spectroscopy studies have shown that the breathprint of a specific disease differs from that of healthy control...

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Section: Analysis Of the Clinical Samples Showed That The Optimized Smentioning

confidence: 99%

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

et al. 2016

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“…Alternative gate stacks can be used to tune this parameter, including high-k dielectrics or organic molecular coatings. [21][22][23] For example, nanowire transistors with molecular gating have been proposed as low power chemical sensors. 24 Among the III-V compound semiconductor nanowire devices simulated here, InP has the smallest subthreshold swing.…”

Section: Pedram Razavi and Giorgos Fagasmentioning

confidence: 99%

Electrical performance of III-V gate-all-around nanowire transistors

Razavi

Fagas

2013

Applied Physics Letters

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The performance of III-V inversion-mode and junctionless nanowire field-effect transistors are investigated using quantum simulations and are compared with those of silicon devices. We show that at ultrascaled dimensions silicon can offer better electrical performance in terms of short-channel effects and drive current than other materials. This is explained simply by suppression of source-drain tunneling due to the higher effective mass, shorter natural length, and the higher density of states in the confined channel. We also confirm that III-V junctionless nanowire transistors are more immune to short-channel effects than conventional inversion-mode III-V nanowire field-effect transistors. (C) 2013 AIP Publishing LLC

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“…In this case, the interactions are between the gas and the grafted organic layer rather than the metal oxide substrate. The interactions of gases with the attached layer lead to change in the dipole moment that variate the electrical properties of substrate (e.g., SnO2) [2]. Such modified sensors work at ambient temperature which reduces the power consumption since these sensors will be used in portable devices.…”

Section: Introductionmentioning

confidence: 99%

Sensitive and Selective Ammonia Gas Sensor Based on Molecularly Modified SnO2

Hijazi

Stambouli

Rieu

et al. 2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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Abstract:The development of selective and cheap metal oxide gas sensor at ambient temperature is still a challenging idea. In this study, SnO2 surface functionalization was performed in order to obtain sensitive and selective gas sensor operated at ambient temperature. 3-aminopropyltriethoxysilane (APTES) was used as an intermediate step, followed by functionalization with molecules having acyl chloride with different end functional groups molecules such as alkyl, acid and ester groups. Acid and ester modified sensors are sensitive to ammonia between 0.2 and 10 ppm at room temperature. However, ester modified SnO2 is more selective than acid modified sensor regarding ethanol and carbon monoxide gases.

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Effect of Functional Groups on the Sensing Properties of Silicon Nanowires toward Volatile Compounds

Cited by 70 publications

References 55 publications

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

Electrical performance of III-V gate-all-around nanowire transistors

Sensitive and Selective Ammonia Gas Sensor Based on Molecularly Modified SnO2

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