Self-Cleaning Organic Vapor Sensor Based on a Nanoporous TiO<sub>2</sub> Interferometer

Liang, Feng‐Xia; Kelly, Timothy L.; Luo, Lin‐Bao; Li, Hui; Sailor, Michael J.; Li, Yang Yang

doi:10.1021/am300896p

Cited by 32 publications

(30 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To improve multi‐parametric sensing platform, further features should be introduced, such as self‐healing, 63,64 self‐cleaning and self‐powering. For example, considering the skin's innate ability to heal itself, many polymeric material have emerged with self‐healing abilities .…”

Section: Future Prospectsmentioning

confidence: 99%

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Segev‐Bar

Bachar

Wolf

et al. 2016

Adv Materials Technologies

View full text Add to dashboard Cite

(2) Humanoid robotics: detection and monitoring of static and dynamic changes in pressure, vibration and temperature, were reported for tactile sensing in robotics. [8] (3) Structural health monitoring: data from a range of sensors, including inclinometers, accelerometers, temperature and strain sensors were produced and associated with health monitoring features. [9] (4) Precision agriculture: a multi-parametric sensing platform that consist of real-time measurements of pH, electrical conductivity and temperature was established. [10] In general, distinct attempts have been conducted using both solid state [10] and flexible and/or stretchable sensors for fabrication and utilization of multi-parametric sensing platforms. [4,11] Nanomaterial-based sensors for multi-parametric sensing provide adjustable building blocks due to a number of synthesis and fabrication routes; thus, size, shape and functionalization groups can be predetermined and designed to fit specific stimuli. [12] Combining the power of nanomaterials (e.g., Si nanowires [13,14] and nanocomposites [15] ) with field effect transistor (FET) platforms provides the ability to extract several device features (e.g., for threshold voltage, charge carrier mobility) from a single measurement, each of which could be linked to different stimuli. The main drawback of this approach is usually the high voltages required, especially for organic FETs. [16] Electrically resistive technology, as opposed to FET fabrication processes, usually provide a low voltage operating platform that usually require fewer fabrication steps. Electrically resistive nanomaterial-based sensors for a multi-parametric sensing platform have also been reported with sensing components, such as nanowires, [17] carbon nanotubes, [18][19][20][21] organic films, [22,23] nanoparticles [24,25] and nanocomposite inks. [18] Figure 1 depicts the main approaches used for the realization of the multi-parametric sensing platform concept. One approach is based on the diversification of sensors placed in a single platform, where each sensor is sensitive to a specific stimulus. Such a platform usually has a relatively large number of sensing pixels, since each pixel is dedicated to a defined task, i.e., sensing a specific stimulus. Figure 1a gives an example of different sensors integrated on a 50 µm thick polyimide (PI) wafer: (i) metal oxide-based chemiresistive films that rely Multi-parametric sensing platforms offer the possibility to measure simultaneously several stimuli, and potentially to differentiate between the different signals. They have advantages in fields that include wearable systems, humanoid robotics, structural health monitoring and precision agriculture, since a complex stimuli from the environment is usually an integrated component in these examples. In the current progress report, we present and discuss new avenues in nanoparticle-based multi-parametric sensing platforms for the detection, classification and separation of common stimuli, e.g., temperature, humidity, strain/pressure ...

show abstract

Section: Future Prospectsmentioning

confidence: 99%

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Segev‐Bar

Bachar

Wolf

et al. 2016

Adv Materials Technologies

View full text Add to dashboard Cite

show abstract

“…The principle of PEC degradation of MB using coaxialnanocoupled STNs is illustrated in Figure 7. Under UV-light 3 18 approaches that of TiO 2 (E g = 3.2 eV), and the CB of SrTiO 3 is 200 mV more negative than that of TiO 2 . On the basis of Fick's first law, 41 the n-type TiO 2 with more "free" electrons is facile to diffuse into p-type SrTiO 3 , which has more "free" holes, and part of them will diffuse into n-type TiO 2 .…”

Section: Pec Performancesmentioning

confidence: 92%

Enhanced Photoelectrochemical Performance of Coaxial-Nanocoupled Strontium-Rich SrTiO₃/TiO₂ {001} Nanotube Arrays

Jia³

et al. 2015

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

The composition of a photocatalyst is the fundamental determinant of its photoability. Recently, significant attention has been focused on the ternary oxide epitaxial overlayers. Here, a highly active {001} facet dominant coaxialnanocoupled SrTiO 3 /TiO 2 nanotube array thin film was fabricated by a modified two-step anodization combined with a hydrothermal process. Through photoelectrochemical (PEC) measurements, such a coaxial-nanocoupled SrTiO 3 /TiO 2 {001} surface reconstruction can definitely improve its PEC performance. The enhanced PEC performance and strongest photocurrent response of SrTiO 3 /TiO 2 nanotubes (STNs) with a 2 h hydrothermal treatment were ascribed to the fast electron transfer in coaxial nanoarchitecture.

show abstract

“…A range of modified nanomaterials has been used as transduction elements for VOC detection, including nanoparticles (NPs), silicon nanowires (Si NWs) and carbon nanotubes (CNTs) among others . Recognition of volatolomics can be achieved by two main approaches: selective detection of (pre‐)identified VOCs or cross‐reactive (i.e.…”

Section: Nanomaterial‐based Solid‐state Sensors For Volatolomic Applimentioning

confidence: 99%

Nanoscale Sensor Technologies for Disease Detection via Volatolomics

Vishinkin

Haick

2015

Small

167

209

View full text Add to dashboard Cite

The detection of many diseases is missed because of delayed diagnoses or the low efficacy of some treatments. This emphasizes the urgent need for inexpensive and minimally invasive technologies that would allow efficient early detection, stratifying the population for personalized therapy, and improving the efficacy of rapid bed-side assessment of treatment. An emerging approach that has a high potential to fulfill these needs is based on so-called "volatolomics", namely, chemical processes involving profiles of highly volatile organic compounds (VOCs) emitted from body fluids, including breath, skin, urine and blood. This article presents a didactic review of some of the main advances related to the use of nanomaterial-based solid-state and flexible sensors, and related artificially intelligent sensing arrays for the detection and monitoring of disease with volatolomics. The article attempts to review the technological gaps and confounding factors related to VOC testing. Different ways to choose nanomaterial-based sensors are discussed, while considering the profiles of targeted volatile markers and possible limitations of applying the sensing approach. Perspectives for taking volatolomics to a new level in the field of diagnostics are highlighted.

show abstract

Self-Cleaning Organic Vapor Sensor Based on a Nanoporous TiO₂ Interferometer

Cited by 32 publications

References 47 publications

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Enhanced Photoelectrochemical Performance of Coaxial-Nanocoupled Strontium-Rich SrTiO₃/TiO₂ {001} Nanotube Arrays

Nanoscale Sensor Technologies for Disease Detection via Volatolomics

Contact Info

Product

Resources

About

Self-Cleaning Organic Vapor Sensor Based on a Nanoporous TiO2 Interferometer

Cited by 32 publications

References 47 publications

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Enhanced Photoelectrochemical Performance of Coaxial-Nanocoupled Strontium-Rich SrTiO3/TiO2 {001} Nanotube Arrays

Nanoscale Sensor Technologies for Disease Detection via Volatolomics

Contact Info

Product

Resources

About

Self-Cleaning Organic Vapor Sensor Based on a Nanoporous TiO₂ Interferometer

Enhanced Photoelectrochemical Performance of Coaxial-Nanocoupled Strontium-Rich SrTiO₃/TiO₂ {001} Nanotube Arrays