A bubble-based microfluidic gas sensor for gas chromatographs

Lab on a Chip ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 94-104 ◽  
Author(s):  
Ashrafuzzaman Bulbul ◽  
Hanseup Kim

This work is a new proof-of-concept bubble-based gas sensor for a gas chromatography system, which utilizes the unique relationship between the diameters of the produced bubbles with the gas types and mixture ratios as a sensing element.

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
J. van den Broek ◽  
S. Abegg ◽  
S. E. Pratsinis ◽  
A. T. Güntner

Abstract Methanol poisoning causes blindness, organ failure or even death when recognized too late. Currently, there is no methanol detector for quick diagnosis by breath analysis or for screening of laced beverages. Typically, chemical sensors cannot distinguish methanol from the much higher ethanol background. Here, we present an inexpensive and handheld sensor for highly selective methanol detection. It consists of a separation column (Tenax) separating methanol from interferants like ethanol, acetone or hydrogen, as in gas chromatography, and a chemoresistive gas sensor (Pd-doped SnO2 nanoparticles) to quantify the methanol concentration. This way, methanol is measured within 2 min from 1 to 1000 ppm without interference of much higher ethanol levels (up to 62,000 ppm). As a proof-of-concept, we reliably measure methanol concentrations in spiked breath samples and liquor. This could enable the realization of highly selective sensors in emerging applications such as breath analysis or air quality monitoring.


2009 ◽  
Author(s):  
Marie-Luise Bauersfeld ◽  
Carolin Peter ◽  
Juergen Woellenstein ◽  
Mark Buecking ◽  
Joerg Bruckert ◽  
...  

Author(s):  
Taajza Singleton ◽  
Lawrence Kulinsky

Abstract Carbon nanotubes (CNTs) have been implemented in the creation of many micro- and nano-devices due to their physical properties such as large volume-to-surface area as well as their high thermal and electrical conductivity. The paper describes a novel dielectrophoretic step-wise deposition of CNTs (that alternates deposition of CNTs and drying steps) between the interdigitated fingers of carbon electrodes. Multiphysics simulation illustrates the physics of CNT alignment along the electrical field lines that forms a basis for dielectrophoretic deposition of CNTs. This fabrication methodology resulted in the creation of a proof-of-concept nitrogen gas sensor.


2011 ◽  
Vol 11 (7) ◽  
pp. 1243-1248 ◽  
Author(s):  
A.R. Kermany ◽  
N.M. Mohamed ◽  
B. Singh
Keyword(s):  

2020 ◽  
Vol 45 (3) ◽  
pp. 179-186 ◽  
Author(s):  
Ariella Y Moser ◽  
Wendy Y Brown ◽  
Lewis A Bizo ◽  
Nigel R Andrew ◽  
Michelle K Taylor

Abstract Detector dogs could be trained to find invasive insect pests at borders before they establish in new areas. However, without access to the live insects themselves, odor training aids are needed to condition dogs to their scent. This proof-of-concept study assessed 2 potential training aids for insect detection: a scent extract and dead specimens of the target species. Using Musgraveia sulciventris (Hemiptera: Tessaratomidae) as an experimental model, gas chromatography–mass spectrometry (GC-MS) analyses were carried out to compare the chemical headspaces that make up the odors of live specimens and these 2 training aids. This was then followed by canine scent-detection testing to investigate biosecurity detector dogs’ (n = 4) responses to training in an ecologically valid context. Both the scent extract and the dead specimens shared the majority of their volatile organic compounds (VOCs) with live insects. Of the dogs trained with scent extract (n = 2), both were able to detect the live insects accurately, and of those trained with dead specimens (n = 2), one detected the live insects accurately. These findings lend support for these training aids as odor-proxies for live insects—particularly scent extract, which is a relatively novel product with the potential for broad application to facilitate and improve insect-detection training.


Chemosensors ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 23 ◽  
Author(s):  
Jawad Sarfraz ◽  
Emil Rosqvist ◽  
Petri Ihalainen ◽  
Jouko Peltonen

This work describes the use of a paper substrate for electro-optical detection of toxic hydrogen sulfide (H2S) gas. For electrical detection, a chemiresistive type of gas sensor was developed. Ultrathin gold film electrodes (UTGFE) were produced by physical vapor deposition of gold on nanostructured latex-coated paper substrate. The gas-sensing film was deposited on the electrodes by inkjet printing. The sensing films were characterized by atomic force microscopy, X-ray photoelectron spectroscopy and conductometry. The sensing films showed more than seven orders of magnitude change in resistance when exposed to as low as 1 part per million (ppm) H2S gas at room temperature. Besides resistive response, the change in color of the sensing films was studied on a paper substrate, both as a function of print density of the sensing material and H2S concentration. For quantification of the analyte the red, green and blue color deconvolution was performed on the pictures of the paper strip indicator using an open source software. A clear response was obtained from the blue channel. The inexpensive disposable color strips produced on the paper substrate can be used for qualitative and quantitative detection (as low as 1.5 ppm) of H2S gas.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4405 ◽  
Author(s):  
Dezhi Wu ◽  
Qianqian Peng ◽  
Shan Wu ◽  
Guangshun Wang ◽  
Lei Deng ◽  
...  

Ammonia gas sensors are very essential in many industries and everyday life. However, their complicated fabrication process, severe environmental fabrication requirements and desorption of residual ammonia molecules result in high cost and hinder their market acceptance. Here, laser direct writing is used to fabricate three parallel porous 3D graphene lines on a polyimide (PI) tape to simply construct an ammonia gas sensor. The middle one works as an ammonia sensing element and the other two on both sides work as heaters to improve the desorption performance of the sensing element to ammonia gas molecules. The graphene lines were characterized by scanning electron microscopy and Raman spectroscopy. The response and recovery time of the sensor without heating are 214 s and 222 s with a sensitivity of 0.087% ppm−1 for sensing 75 ppm ammonia gas, respectively. The experimental results prove that under the optimized heating temperature of about 70 °C the heaters successfully help implement complete desorption of residual NH3 showing a good sensitivity and cyclic stability.


2020 ◽  
Author(s):  
Andreas T. Güntner ◽  
Leandro Magro ◽  
Jan van den Broek ◽  
Sotiris E. Pratsinis

The COVID-19 pandemic has increased dramatically the demand for hand sanitizers. A major concern is their adulteration with methanol that caused more than 700 fatalities in Iran and U.S.A. (since Feb. 2020). In response, the U.S. Food and Drug Administration (FDA) has restricted the methanol content in hand sanitizers to 0.063 vol% and blacklisted 194 products (as of Oct. 1, 2020). Here, we present a low-cost, handheld and smartphone-assisted device that detects methanol selectively in hand sanitizers between 0.01-100 vol% within two minutes by headspace analysis. It features a nanoporous polymer column that separates methanol from confounders by adsorption (i.e. van-der-Waals forces) rendering it selective. A chemoresistive gas sensor detects the methanol. When tested on seven pure and spiked commercial sanitizers (total 76 samples), methanol was quantified accurately, in excellent (R<sup>2</sup> = 0.99) agreement to "gold standard" gas chromatography. Most importantly, methanol quantification was hardly interfered by different sanitizer compositions (e.g. 2-propanol, ethanol, butanone, glycerin, aloe vera essence, various odorants and colorants) and gel-like viscosity while other potential contaminants (e.g. 1-propanol) were recognized as well. This device meets an urgent need for distributed and on-site methanol screening by authorities (e.g. customs, police), health product distributers and even laymen. <br>


Sign in / Sign up

Export Citation Format

Share Document