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VOC Sensors Applicable to IoT and Healthcare
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VOC Sensors Applicable to IoT and Healthcare

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".

Deadline for manuscript submissions: closed (29 September 2018) | Viewed by 16618

Special Issue Editors

Prof. Dr. Woosuck Shin

E-Mail Website
Guest Editor
Inorganic Functional Materials Research Institute, AIST, Nagoya, Japan
Interests: microsensors; VOC sensors; health care and medical application
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hyung-Gi Byun

E-Mail Website
Guest Editor
Division of Electronics, Information and Communication Engineering, Kangwon National University (Samcheok), Kangwon-Do, Korea
Interests: measurement engineering; signal processing; smell and taste systems; gas sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Many IoT sensors are deployed already as commercial products; however, the vast majority of these sensors are associated with physical parameters, such as temperature, motion or pressure sensing. This Special Issue is focused toward gas sensors both wearable and handheld that will provide a pathway to valuable diagnostic data sets for human health. Particular interest lies in the detection of volatile organic compounds (VOC) by the sensor or analyser. This Special Issue welcomes both reviews and original research articles on the current progress of new gas sensor technology, analysis method, human gas specimen collection methods, and interpretation of the sensor data. The recent advancement of gas sensors and array of microsensors enables highly sensitive and selective VOC detection for new applications of human health.

Prof. Dr. Woosuck Shin
Prof. Dr. Hyung-Gi Byun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Volatile organic compounds (VOC)
  • Wearable sensors
  • Metal oxide sensors
  • Sensor arrays
  • Electronic nose or e-nose
  • Principal component (PC) analysis
  • Food monitoring using gas sensors
  • Room air monitoring
  • Breath analysis
  • Machine learning
  • Micro- and Nano-scale chemical-sensors

Published Papers (4 papers)

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Research

17 pages, 5242 KiB  
Article
Acetone Sensing Properties and Mechanism of SnO2 Thick-Films
by Yanping Chen, Hongwei Qin, Yue Cao, Heng Zhang and Jifan Hu
Sensors 2018, 18(10), 3425; https://doi.org/10.3390/s18103425 - 12 Oct 2018
Cited by 41 | Viewed by 4330
Abstract
In the present work, we investigated the acetone sensing characteristics and mechanism of SnO2 thick-films through experiments and DFT calculations. SnO2 thick film annealed at 600 °C could sensitively detect acetone vapors. At the optimum operating temperature of 180 °C, the [...] Read more.
In the present work, we investigated the acetone sensing characteristics and mechanism of SnO2 thick-films through experiments and DFT calculations. SnO2 thick film annealed at 600 °C could sensitively detect acetone vapors. At the optimum operating temperature of 180 °C, the responses of the SnO2 sensor were 3.33, 3.94, 5.04, and 7.27 for 1, 3, 5, and 10 ppm acetone, respectively. The DFT calculation results show that the acetone molecule can be adsorbed on the five-fold-coordinated Sn and oxygen vacancy (VO) sites with O-down, with electrons transferring from acetone to the SnO2 (110) surface. The acetone molecule acts as a donor in these modes, which can explain why the resistance of SnO2 or n-type metal oxides decreased after the acetone molecules were introduced into the system. Molecular dynamics calculations show that acetone does not convert to other products during the simulation. Full article
(This article belongs to the Special Issue VOC Sensors Applicable to IoT and Healthcare)
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13 pages, 2062 KiB  
Article
Measurement of Atmospheric Dimethyl Sulfide with a Distributed Feedback Interband Cascade Laser
by Shuanke Wang, Zhenhui Du, Liming Yuan, Yiwen Ma, Xiaoyu Wang, Ruiyan Han and Shuo Meng
Sensors 2018, 18(10), 3216; https://doi.org/10.3390/s18103216 - 24 Sep 2018
Cited by 6 | Viewed by 4010
Abstract
This paper presents a mid-infrared dimethyl sulfide (CH3SCH3, DMS) sensor based on tunable laser absorption spectroscopy with a distributed feedback interband cascade laser to measure DMS in the atmosphere. Different from previous work, in which only DMS was tested [...] Read more.
This paper presents a mid-infrared dimethyl sulfide (CH3SCH3, DMS) sensor based on tunable laser absorption spectroscopy with a distributed feedback interband cascade laser to measure DMS in the atmosphere. Different from previous work, in which only DMS was tested and under pure nitrogen conditions, we measured DMS mixed by common air to establish the actual atmospheric measurement environment. Moreover, we used tunable laser absorption spectroscopy with spectral fitting to enable multi-species (i.e., DMS, CH4, and H2O) measurement simultaneously. Meanwhile, we used empirical mode decomposition and greatly reduced the interference of optical fringes and noise. The sensor performances were evaluated with atmospheric mixture in laboratory conditions. The sensor’s measurement uncertainties of DMS, CH4, and H2O were as low as 80 ppb, 20 ppb, and 0.01% with an integration time 1 s, respectively. The sensor possessed a very low detection limit of 9.6 ppb with an integration time of 164 s for DMS, corresponding to an absorbance of 7.4 × 10−6, which showed a good anti-interference ability and stable performance after optical interference removal. We demonstrated that the sensor can be used for DMS measurement, as well as multi-species atmospheric measurements of DMS, H2O, and CH4 simultaneously. Full article
(This article belongs to the Special Issue VOC Sensors Applicable to IoT and Healthcare)
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13 pages, 966 KiB  
Article
Fecal Volatile Organic Compounds in Preterm Infants Are Influenced by Enteral Feeding Composition
by Sofia El Manouni el Hassani, Hendrik J. Niemarkt, Hager Said, Daniel J. C. Berkhout, Anton H. Van Kaam, Richard A. Van Lingen, Marc A. Benninga, Nanne K. H. De Boer and Tim G. J. De Meij
Sensors 2018, 18(9), 3037; https://doi.org/10.3390/s18093037 - 11 Sep 2018
Cited by 11 | Viewed by 3524
Abstract
Fecal volatile organic compound (VOC) analysis has shown great potential as a noninvasive diagnostic biomarker for a variety of diseases. Before clinical implementation, the factors influencing the outcome of VOC analysis need to be assessed. Recent studies found that the sampling conditions can [...] Read more.
Fecal volatile organic compound (VOC) analysis has shown great potential as a noninvasive diagnostic biomarker for a variety of diseases. Before clinical implementation, the factors influencing the outcome of VOC analysis need to be assessed. Recent studies found that the sampling conditions can influence the outcome of VOC analysis. However, the dietary influences remains unknown, especially in (preterm) infants. Therefore, we assessed the effects of feeding composition on fecal VOC patterns of preterm infants (born at <30 weeks gestation). Two subgroups were defined: (1) daily intake >75% breastmilk (BM) feeding and (2) daily intake >75% formula milk (FM) feeding. Fecal samples, which were collected at 7, 14 and 21 days postnatally, were analyzed by an electronic nose device (Cyranose 320®). In total, 30 preterm infants were included (15 FM, 15 BM). No differences in the fecal VOC patterns were observed at the three predefined time-points. Combining the fecal VOC profiles of these time-points resulted in a statistically significant difference between the two subgroups although this discriminative accuracy was only modest (AUC [95% CI]; p-value; sensitivity; and specificity of 0.64 [0.51–0.77]; 0.04; 68%; and 51%, respectively). Our results suggest that the influence of enteral feeding on the outcome of fecal VOC analysis cannot be ignored in this population. Furthermore, in both subgroups, the fecal VOC patterns showed a stable longitudinal course within the first month of life. Full article
(This article belongs to the Special Issue VOC Sensors Applicable to IoT and Healthcare)
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10 pages, 2259 KiB  
Article
Thermoelectric Array Sensors with Selective Combustion Catalysts for Breath Gas Monitoring
by Woosuck Shin, Tomoyo Goto, Daisuke Nagai, Toshio Itoh, Akihiro Tsuruta, Takafumi Akamatsu and Kazuo Sato
Sensors 2018, 18(5), 1579; https://doi.org/10.3390/s18051579 - 16 May 2018
Cited by 11 | Viewed by 3675
Abstract
Inflammable breath gases such as H2 and CH4 are used as bio markers for monitoring the condition of the colon. However, their typical concentrations of below 100 ppm pose sensitivity and selectivity challenges to current gas sensing systems without the use [...] Read more.
Inflammable breath gases such as H2 and CH4 are used as bio markers for monitoring the condition of the colon. However, their typical concentrations of below 100 ppm pose sensitivity and selectivity challenges to current gas sensing systems without the use of chromatography. We fabricated a compact, gas-selective thermoelectric array sensor (TAS) that uses micro-machined sensor devices with three different combustion catalysts to detect gases such as H2, CO, and CH4 in breath. Using Pt/Pt-W thin-film micro-heater meanders, Pd/Al2O3, Pt,Pd,Au/Co3O4, and Pt/Al2O3 catalysts were heated to 320, 200, and 125 °C, respectively, and the gas sensing performances of the TAS for each gas and for a model breath gas mixture of 100 ppm H2, 25 ppm CO, 50 ppm CH4, and 199 ppm CO2 in air were investigated. Owing to its high catalyst temperature, the Pd/Al2O3 catalyst burned all three gases, while the Pt,Pd,Au/Co3O4 burned CO and H2 and the Pt/Al2O3 burned H2 selectively. To calibrate the gas concentration of the mixture gas without the use of a gas separation tool, linear discriminant analysis was applied to measure the sensing performance of TAS. To enhance the gas selectivity against H2, a double catalyst structure was integrated into the TAS sensor. Full article
(This article belongs to the Special Issue VOC Sensors Applicable to IoT and Healthcare)
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