Ionic Liquid-Carbon Nanotube Sensor Arrays for Human Breath Related Volatile Organic Compounds

Park, Chan Ho; Schroeder, Vera; Kim, Bumjoon J.; Swager, Timothy M.

doi:10.1021/acssensors.8b00987

Cited by 65 publications

(52 citation statements)

References 46 publications

(89 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[ 12–18 ] These cross‐reactive sensory systems, inspired by mammalian olfactory and gustatory systems, can simultaneously detect and identify specific responses from a variety of non‐specific vapor, liquid elements, and their combinations by analyzing the difference in sensing responses with pattern recognition and machine learning algorithms. [ 19–27 ] Although these previous advances are noteworthy, it is still rather problematic to fully translate the cross‐reactive system into artificially perceptive electronics at this initial stage, possibly due to the lack of facile device architectures and appropriate protocols. More importantly, since most of the current e‐skin technologies are essentially based on “lock and key” approaches, the numeric data signals measured from the superposed stimuli could not be cross‐operated with each other, leaving the difficulty of decoupling interference of intermixed signals and of integrating cross interferences for recognizing the behavior of each stimulus.…”

Section: Figurementioning

confidence: 99%

A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

et al. 2020

View full text Add to dashboard Cite

Recently, the realization of artificial sensory systems mimicking the biological perception has been intensively pursued for the next generation neuromorphic electronics and humanoid robots. Particularly, an artificial somatosensory system which can emulate the functions of the biological skin and body sensation is considered to have a great potential in achieving highly integrated and neuromorphic sensory network. The biological somatosensory system is a complex sensory network, which is composed of sensory neurons (receptors), neural pathways, and a part of the brain for the perception process. By the sensory receptors such as mechanoreceptors, thermoreceptors, and nociceptors, [1][2][3][4][5][6][7][8][9][10] which are located on or beneath the skin, various environmental stimuli are detected and transmitted to the brain through the neural pathways. This enables the specific sensations such as strain, pressure, temperature, and distortion (flexion/ bending) of the body. In realizing an artificial somatosensory system, however, the integration of a large amount of sensory networks for the individual sensation still remains as a significant challenge, especially in the case of largearea electronic skin (e-skin) devices. For example, it is reported that to realize an e-skin for robotics and prosthetic limbs, an estimated 45 000 mechanoreceptors are needed in about 1.5 m 2 -area devices. [11] Additionally, the number of sensors could increase even further, considering the e-skins to have equivalent numbers of thermoreceptors and nociceptors in the system. Therefore, to fully mimic the biological skin perception over a large-area, a large number of sensory systems with complicated multi-layer architectures would be required as well as a large amount of data associated with their perception processing.In recent research, a new strategy to achieve artificially intelligent perception has been introduced in chemical and gas detection systems by analyzing the different responses recognized from many cross interferences. [12][13][14][15][16][17][18] These cross-reactive sensory systems, inspired by mammalian olfactory and gustatory systems, can simultaneously detect and identify specific responses from a variety of non-specific vapor, liquid elements, and their combinations by analyzing the difference in sensing responses with pattern recognition and machine learning algorithms. [19][20][21][22][23][24][25][26][27] Although these previous advances are noteworthy, Mimicking human skin sensation such as spontaneous multimodal perception and identification/discrimination of intermixed stimuli is severely hindered by the difficulty of efficient integration of complex cutaneous receptor-emulating circuitry and the lack of an appropriate protocol to discern the intermixed signals. Here, a highly stretchable cross-reactive sensor matrix is demonstrated, which can detect, classify, and discriminate various intermixed tactile and thermal stimuli using a machine-learning approach. Particularly, the multimodal perception ability is ...

show abstract

Section: Figurementioning

confidence: 99%

A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

et al. 2020

View full text Add to dashboard Cite

show abstract

“…72 The sensors identify different biomarkers due to the solubility, polarity, and chemical associations, especially for tuberculosis disease. 73 The design of an electronic nose with CNTs to delete the VOC of lung cancer patients was an inexpensive and rapid method. Water, methanol, isopropanol, ethanol, acetone, 2-butanone, and propanol were found as polar vapors lung cancer biomarkers.…”

Section: Using Carbon Nanotubes In Lung Cancer Detectionmentioning

confidence: 99%

<p>The Applications of Carbon Nanotubes in the Diagnosis and Treatment of Lung Cancer: A Critical Review</p>

Sheikhpour¹,

Naghinejad²,

Kasaeian³

et al. 2020

IJN

View full text Add to dashboard Cite

The importance of timely diagnosis and the complete treatment of lung cancer for many people with this deadly disease daily increases due to its high mortality. Diagnosis and treatment with helping the nanoparticles are useful, although they have reasonable harms. This article points out that the side effects of using carbon nanotube (CNT) in this disease treatment process such as inflammation, fibrosis, and carcinogenesis are very problematic. Toxicity can reduce to some extent using the techniques such as functionalizing to proper dimensions as a longer length, more width, and greater curvature. The targeted CNT sensors can be connected to various modified vapors. In this regard, with helping this method, screening makes non-invasive diagnosis possible. Researchers have also found that nanoparticles such as CNTs could be used as carriers to direct drug delivery, especially with chemotherapy drugs. Most of these carriers were multi-wall carbon nanotubes (MWCNT) used for cancerous cell targeting. The results of laboratory and animal researches in the field of diagnosis and treatment became very desirable and hopeful. The collection of researches summarized has highlighted the requirement for a detailed assessment which includes CNT dose, duration, method of induction, etc., to achieve the most controlled conditions for animal and human studies. In the discussion section, 4 contradictory issues are discussed which are invited researchers to do more research to get clearer results.

show abstract

“…To fabricate a sensor array with different selectivities, an effective strategy is to change the materials of the sensing interface. Various materials have been utilized as components of sensor arrays, including ionic liquids [15], single-stranded DNAs [16], reduced graphene oxide [17], and metalloporphyrin [14]. In particular, metalloporphyrin with different metal ligands has been preferably utilized as a sensing interface because of the ligands' different reactivities toward gas molecules in spite of their similar structures.…”

Section: Introductionmentioning

confidence: 99%

Humidity-Resistive Optical NO Gas Sensor Devices Based on Cobalt Tetraphenylporphyrin Dispersed in Hydrophobic Polymer Matrix

Shiba

Yamada

Matsuguchi

2020

Sensors

View full text Add to dashboard Cite

We report on an optical nitrogen oxide (NO) gas sensor device using cobalt tetraphenylporphyrin (CoTPP) dispersed in three kinds of hydrophobic polymer film matrix (polystyrene (PSt), ethylcellulose (EC), and polycyclohexyl methacrylate (PCHMA)) to improve humidity resistance. Our approach is very effective because it allows us to achieve not only high humidity resistance, but also a more than sixfold increase in sensitivity compared with CoTPP film due to the high dispersion of CoTPP in the polymer film. The limit of detection was calculated as 33 ppb for the CoTPP-dispersed EC film, which is lower than that of CoTPP film (92 ppb).

show abstract

Ionic Liquid-Carbon Nanotube Sensor Arrays for Human Breath Related Volatile Organic Compounds

Cited by 65 publications

References 46 publications

A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

<p>The Applications of Carbon Nanotubes in the Diagnosis and Treatment of Lung Cancer: A Critical Review</p>

Humidity-Resistive Optical NO Gas Sensor Devices Based on Cobalt Tetraphenylporphyrin Dispersed in Hydrophobic Polymer Matrix

Contact Info

Product

Resources

About