Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220133
Kristen L Rhinehardt, R. Mohan, G. Srinivas, A. Kelkar
Molecular level interactions and accessibility to binding site play a critical role in efficacy of biosensors. Details on the orientation and location of binding of a biomarker to a bioreceptor can be obtained through computational modeling and analysis. In the present paper, Molecular Dynamics (MD) was used to model the and understand the molecular interaction within a aptamer based sensor using a known peptide-aptamer combination of anti-mucin 1 S2.2 aptamer and MUC1-G (ADPTRPAPG) peptide in a 150mM NaCl solution to mirror SPR aptasensor conditions. The modeling analysis was further extended to understand the influence of other solvent environments. In the solvent environment of 150mM NaCl, MUC1-G binding event was found to occur consistently in the loop region of the aptamer, and showed a key role of arginine residue of the peptide in the aptamer-peptide binding. To further emulate relevant biosensor application characteristics, variation in aptamer and peptide structure as well as solvent conditions were studied and analyzed. These illustrated the sensitivity and selectivity of MUC1-G peptide-aptamer binding. Selective changes in the solvent conditions to reflect a variety of physiological conditions that can be experienced in biosensor applications were modeled through modifications in the peptide-aptamer-solvent molecular systems. Results indicate that certain modified solvent conditions did not induce binding, but rather association events. Present results indicate even variations in the solvent conditions for biosensor applications can impact the binding. Insights from modeling and analysis illustrate the selectiveness and sensitivity to solvent environments in the case of Mucin 1, a breast cancer biomarker, which are critical to the development of reliable and repeatable biosensors.
{"title":"Analysis and understanding of aptamer and peptide molecular interactions: Application to mucin 1 (Muc1) aptasensor","authors":"Kristen L Rhinehardt, R. Mohan, G. Srinivas, A. Kelkar","doi":"10.1109/ISPTS.2015.7220133","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220133","url":null,"abstract":"Molecular level interactions and accessibility to binding site play a critical role in efficacy of biosensors. Details on the orientation and location of binding of a biomarker to a bioreceptor can be obtained through computational modeling and analysis. In the present paper, Molecular Dynamics (MD) was used to model the and understand the molecular interaction within a aptamer based sensor using a known peptide-aptamer combination of anti-mucin 1 S2.2 aptamer and MUC1-G (ADPTRPAPG) peptide in a 150mM NaCl solution to mirror SPR aptasensor conditions. The modeling analysis was further extended to understand the influence of other solvent environments. In the solvent environment of 150mM NaCl, MUC1-G binding event was found to occur consistently in the loop region of the aptamer, and showed a key role of arginine residue of the peptide in the aptamer-peptide binding. To further emulate relevant biosensor application characteristics, variation in aptamer and peptide structure as well as solvent conditions were studied and analyzed. These illustrated the sensitivity and selectivity of MUC1-G peptide-aptamer binding. Selective changes in the solvent conditions to reflect a variety of physiological conditions that can be experienced in biosensor applications were modeled through modifications in the peptide-aptamer-solvent molecular systems. Results indicate that certain modified solvent conditions did not induce binding, but rather association events. Present results indicate even variations in the solvent conditions for biosensor applications can impact the binding. Insights from modeling and analysis illustrate the selectiveness and sensitivity to solvent environments in the case of Mucin 1, a breast cancer biomarker, which are critical to the development of reliable and repeatable biosensors.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"1 3 1","pages":"297-302"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81827133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220099
Mohammed Zahid, Tanishqua Bhute, Manisha D. Shirke, D. Gharpure
A system to detect the direction of the odor source using a sensor array has been designed. The system uses the relation between the responses of different sensors to determine the direction of source. A novel dynamic direction detection method based on a neural network is presented for detecting direction of ethanol odor source. Odor-Compass can be used in applications like hazardous gas leakage detection [1, 2], fire detection [3], rescue operations, automotive fuel qualification [4] etc. This paper presents design and development of an Odor compass which can indicate direction of the source of odor.
{"title":"Development of odor compass: Source direction detection system","authors":"Mohammed Zahid, Tanishqua Bhute, Manisha D. Shirke, D. Gharpure","doi":"10.1109/ISPTS.2015.7220099","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220099","url":null,"abstract":"A system to detect the direction of the odor source using a sensor array has been designed. The system uses the relation between the responses of different sensors to determine the direction of source. A novel dynamic direction detection method based on a neural network is presented for detecting direction of ethanol odor source. Odor-Compass can be used in applications like hazardous gas leakage detection [1, 2], fire detection [3], rescue operations, automotive fuel qualification [4] etc. This paper presents design and development of an Odor compass which can indicate direction of the source of odor.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"77 1","pages":"138-141"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90480048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220093
P. Tamboli, S. Duttagupta, K. Roy
In this paper, we propose an improved method of In-core neutron flux estimation using Inconel Self Powered Neutron Detectors (SPNDs). The method proposed here is based upon multi-sensor based particle filter utilizing a number of uniformly distributed SPNDs along with the out-core ionization chambers which measure the overall flux. The proposed method estimates the neutron flux of large non-linear core volume involving stiff non-linearities with non-Gaussian uncertainties both in the process and sensor model. We propose an improved particle filtering based data fusion algorithm on multi-sensor network for flux estimation under nonlinear non-Gaussian environment. The nonlinear system in our study is a large core nuclear reactor measured through in-core Self Powered Neutron Detectors. Many critical applications such as reactor protection and control rely upon the neutron flux information and thus make the reliability of data an utmost important. The point kinetic model based on neutron transport theory conveniently explains the dynamics of nuclear reactor. The state equation in point kinetic model is stiff nonlinear set of equations. The neutron flux in the large core, loosely coupled reactor are sensed by multiple sensors measuring point fluxes located at various locations inside the reactor core. The flux values are coupled to each other through diffusion equation. The coupling facilitates redundancy in the information. The multiple independent information about the localized flux peaking can be fused together to enhance the estimation accuracy to a great extent. In our work, we establish, observation model for the neutron flux sensor used for large core flux measurement i.e. Self Powered Neutron Detectoric document.
{"title":"Self Powered neutron detector based reactor flux estimation using multisensor particle filter","authors":"P. Tamboli, S. Duttagupta, K. Roy","doi":"10.1109/ISPTS.2015.7220093","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220093","url":null,"abstract":"In this paper, we propose an improved method of In-core neutron flux estimation using Inconel Self Powered Neutron Detectors (SPNDs). The method proposed here is based upon multi-sensor based particle filter utilizing a number of uniformly distributed SPNDs along with the out-core ionization chambers which measure the overall flux. The proposed method estimates the neutron flux of large non-linear core volume involving stiff non-linearities with non-Gaussian uncertainties both in the process and sensor model. We propose an improved particle filtering based data fusion algorithm on multi-sensor network for flux estimation under nonlinear non-Gaussian environment. The nonlinear system in our study is a large core nuclear reactor measured through in-core Self Powered Neutron Detectors. Many critical applications such as reactor protection and control rely upon the neutron flux information and thus make the reliability of data an utmost important. The point kinetic model based on neutron transport theory conveniently explains the dynamics of nuclear reactor. The state equation in point kinetic model is stiff nonlinear set of equations. The neutron flux in the large core, loosely coupled reactor are sensed by multiple sensors measuring point fluxes located at various locations inside the reactor core. The flux values are coupled to each other through diffusion equation. The coupling facilitates redundancy in the information. The multiple independent information about the localized flux peaking can be fused together to enhance the estimation accuracy to a great extent. In our work, we establish, observation model for the neutron flux sensor used for large core flux measurement i.e. Self Powered Neutron Detectoric document.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"27 1","pages":"106-112"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86195605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220103
P. Janrao, J. C. Maurya, S. Bhoraskar, V. Mathe
Zn doped cobalt ferrites Co1-xZnxFe2O4 (x = 0.0, 0.1, 0.3) powders were synthesized by chemical co-precipitation method. Phase formation and crystalline nature was verified by using X-ray diffraction and Raman spectroscopy. The saturation magnetization (Ms), coercivity (Hc) and remanent magnetization (Mr) was recorded using vibrating sample magnetometer at room temperature. Magnetostriction measurements carried out reveals that the spinel ferrite samples investigated in the present studies seems to be suitable for magnetic field sensor applications. The magnitude and signature of magnetostriction is found to be direction dependent. These ferrites hold the promise of being used as magnetic sensors.
{"title":"Magnetic field sensor based on Zn doped cobalt ferrites synthesized by chemical co-precipitation route","authors":"P. Janrao, J. C. Maurya, S. Bhoraskar, V. Mathe","doi":"10.1109/ISPTS.2015.7220103","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220103","url":null,"abstract":"Zn doped cobalt ferrites Co1-xZnxFe2O4 (x = 0.0, 0.1, 0.3) powders were synthesized by chemical co-precipitation method. Phase formation and crystalline nature was verified by using X-ray diffraction and Raman spectroscopy. The saturation magnetization (Ms), coercivity (Hc) and remanent magnetization (Mr) was recorded using vibrating sample magnetometer at room temperature. Magnetostriction measurements carried out reveals that the spinel ferrite samples investigated in the present studies seems to be suitable for magnetic field sensor applications. The magnitude and signature of magnetostriction is found to be direction dependent. These ferrites hold the promise of being used as magnetic sensors.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"27 1","pages":"159-161"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89421645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220129
D. S. Arya, M. Prasad, C. C. Tripathi
In previous research work related to the acoustic sensors, the researchers had focused on the individuality of the sensors for aeroacoustic application and sensors for audio range application. This paper describes a simple and novel model of acoustic sensor for aeroacoustic and audio applications (microphone). The model of the device presented in this paper shows interoperability. The sensor reported has the bandwidth of~22 KHz, which covers the entire bandwidth of microphone and aeroacoustic sensors. A LEM (Lumped Element Model) is used to determine the characteristics of the device. The device has the square diaphragm of 1.5 × 1.5 mm2 and a nominal thickness of 15 μm to sustain the high SPL (Sound Pressure Level). A piezoelectric ZnO layer 2.4 μm-thick is sandwiched between two Al-top and bottom electrodes. The top electrode is segmented to enhance the sensitivity of the device. Furthermore, a microtunnel of 100 μm wide and 21μm deep is designed to achieve the lower cut-on frequency of ~5 Hz. The theoritical results show that the sensor has sensitivity (RMS) of 126.3μV/Pa and 96.6 μV/Pa in case of central and outer electrodes respectively. The resonant frequency of ~ 85 KHz is obtained from lumped model, simulated using MULTISIM 13.0. The result is verified with MEMS-CAD TOOL COVENTORWARE®.
{"title":"Design and modeling of a ZnO-based MEMS acoustic sensor for aeroacoustic and audio applications","authors":"D. S. Arya, M. Prasad, C. C. Tripathi","doi":"10.1109/ISPTS.2015.7220129","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220129","url":null,"abstract":"In previous research work related to the acoustic sensors, the researchers had focused on the individuality of the sensors for aeroacoustic application and sensors for audio range application. This paper describes a simple and novel model of acoustic sensor for aeroacoustic and audio applications (microphone). The model of the device presented in this paper shows interoperability. The sensor reported has the bandwidth of~22 KHz, which covers the entire bandwidth of microphone and aeroacoustic sensors. A LEM (Lumped Element Model) is used to determine the characteristics of the device. The device has the square diaphragm of 1.5 × 1.5 mm2 and a nominal thickness of 15 μm to sustain the high SPL (Sound Pressure Level). A piezoelectric ZnO layer 2.4 μm-thick is sandwiched between two Al-top and bottom electrodes. The top electrode is segmented to enhance the sensitivity of the device. Furthermore, a microtunnel of 100 μm wide and 21μm deep is designed to achieve the lower cut-on frequency of ~5 Hz. The theoritical results show that the sensor has sensitivity (RMS) of 126.3μV/Pa and 96.6 μV/Pa in case of central and outer electrodes respectively. The resonant frequency of ~ 85 KHz is obtained from lumped model, simulated using MULTISIM 13.0. The result is verified with MEMS-CAD TOOL COVENTORWARE®.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"61 1","pages":"278-282"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85639739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220146
Pramod D. Nayate
The presentation describes the function of rockets to launch the space shuttle into the space, different processes involved in rocket manufacturing, fuel mixing process including ingredients of the fuel, casting, static test, igniter installation, shipment of the segments to Kennedy Space Center (KSC), assembly at KSC, etc. It also involves space Orbiter installation, launch preparation, launch, motor separation from the space shuttle, retrieving the rockets from sea and return for inspection, cleaning and refurbishment. Each rocket weighs about 1,100,000 pounds (of which 1,000,000 pounds is fuel). Both the motors burn for about 2 minutes (burning about 2,000,000 pounds of fuel) and generating about 6,000,000 pounds of thrust). The total length of the rocket assembly (rocket booster) is about 149 feet.
{"title":"IT06. \"Space odyssey — The journey continues\" ….… video presentation","authors":"Pramod D. Nayate","doi":"10.1109/ISPTS.2015.7220146","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220146","url":null,"abstract":"The presentation describes the function of rockets to launch the space shuttle into the space, different processes involved in rocket manufacturing, fuel mixing process including ingredients of the fuel, casting, static test, igniter installation, shipment of the segments to Kennedy Space Center (KSC), assembly at KSC, etc. It also involves space Orbiter installation, launch preparation, launch, motor separation from the space shuttle, retrieving the rockets from sea and return for inspection, cleaning and refurbishment. Each rocket weighs about 1,100,000 pounds (of which 1,000,000 pounds is fuel). Both the motors burn for about 2 minutes (burning about 2,000,000 pounds of fuel) and generating about 6,000,000 pounds of thrust). The total length of the rocket assembly (rocket booster) is about 149 feet.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"61 1","pages":"VII-VII"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85760518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-03-07DOI: 10.1109/ISPTS.2015.7220128
Saptarshi Ghosh, N. Bhattacharyya, B. Tudu, R. Bandyopadhyay
The limitations of the classical pattern recognition algorithms may be addressed by an incremental way of learning, through which the existing knowledge base can be expanded from the information gathered solely from new set of samples. In this study, a novel incremental Self Organizing Map (i-SOM) algorithm is proposed and applied on the data generated from an electronic nose for black tea quality evaluation. The algorithm enables data with similar features (data points corresponding to different batches of black tea having similar aroma content) to be clustered together without the necessity of access to previously generated dataset.
{"title":"Electronic nose for on-line quality evaluation of black tea using incremental SOM techniques","authors":"Saptarshi Ghosh, N. Bhattacharyya, B. Tudu, R. Bandyopadhyay","doi":"10.1109/ISPTS.2015.7220128","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220128","url":null,"abstract":"The limitations of the classical pattern recognition algorithms may be addressed by an incremental way of learning, through which the existing knowledge base can be expanded from the information gathered solely from new set of samples. In this study, a novel incremental Self Organizing Map (i-SOM) algorithm is proposed and applied on the data generated from an electronic nose for black tea quality evaluation. The algorithm enables data with similar features (data points corresponding to different batches of black tea having similar aroma content) to be clustered together without the necessity of access to previously generated dataset.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"101 1","pages":"273-277"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85909170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AgI1-xClx (x = 0 − 0.025) — Electrolytes for trace level sensing of chlorine","authors":"P. C. Clinsha, K. I. Gnanasekar, V. Jayaraman, T. Gnanasekaran","doi":"10.1109/ISPTS.2015.7220090","DOIUrl":"https://doi.org/10.1109/ISPTS.2015.7220090","url":null,"abstract":"Use of AgI<sub>1-x</sub>Cl<sub>x</sub> (x= 0 and 0.025) towards sensing of Cl<sub>2</sub> gas has been explored. AgI<sub>1-x</sub>Cl<sub>x</sub> has been demonstrated to sense ~ 10 vppb of Cl<sub>2</sub> in air.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"29 1","pages":"94-96"},"PeriodicalIF":0.0,"publicationDate":"2015-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89700493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01DOI: 10.1109/ispts.2015.7220138
Younghwan Kim, Jason Young, David C. Robinson, Greg Jones, M. Misra, S. Mohanty
This research presents a metal functionalized titanium dioxide (TiO2) nanotube based sensor developed for detection of volatile biomarkers (methyl p-anisate and methyl nicotinate) associated with tuberculosis (TB). In this work self-aligning TiO2 nanotubes were fabricated, and functionalized with cobalt for specific binding to the volatile biomarkers of interest. Mimics of the volatile biomarkers were dissolved in water at variable concentrations, and nitrogen gas was flowed through the biomarker solutions and delivered to the sensor. A potentiostatic scan was used to measure current across the device under constant potentials ranging from −1.0 volts to 1-volts methyl nicotinate and methyl p-anisate. The sensor response showed a 3 × 105 change in current for methyl nicotinate, and 7.61 × 106 change in current for methyl p-anisate when compared to baseline. The sensor also showed little response to five other VOCs (acetone, ethanol, methanol, benzene, and phenol) which suggest the sensor is functionalized to be specific for the target VOCs associated with TB. Results showed detection of the volatile biomarkers yield orders of magnitude change in current which is detected easily. The sensor is simple to operate, responds in minutes, and has potential applications in non-invasive diagnosis of TB and other diseases that have distinct volatile biomarkers.
{"title":"Titanium dioxide nanotube based sensing platform for detection of mycobacterium tuberculosis volatile biomarkers methyl nicotinate and p-anisate","authors":"Younghwan Kim, Jason Young, David C. Robinson, Greg Jones, M. Misra, S. Mohanty","doi":"10.1109/ispts.2015.7220138","DOIUrl":"https://doi.org/10.1109/ispts.2015.7220138","url":null,"abstract":"This research presents a metal functionalized titanium dioxide (TiO2) nanotube based sensor developed for detection of volatile biomarkers (methyl p-anisate and methyl nicotinate) associated with tuberculosis (TB). In this work self-aligning TiO2 nanotubes were fabricated, and functionalized with cobalt for specific binding to the volatile biomarkers of interest. Mimics of the volatile biomarkers were dissolved in water at variable concentrations, and nitrogen gas was flowed through the biomarker solutions and delivered to the sensor. A potentiostatic scan was used to measure current across the device under constant potentials ranging from −1.0 volts to 1-volts methyl nicotinate and methyl p-anisate. The sensor response showed a 3 × 105 change in current for methyl nicotinate, and 7.61 × 106 change in current for methyl p-anisate when compared to baseline. The sensor also showed little response to five other VOCs (acetone, ethanol, methanol, benzene, and phenol) which suggest the sensor is functionalized to be specific for the target VOCs associated with TB. Results showed detection of the volatile biomarkers yield orders of magnitude change in current which is detected easily. The sensor is simple to operate, responds in minutes, and has potential applications in non-invasive diagnosis of TB and other diseases that have distinct volatile biomarkers.","PeriodicalId":6520,"journal":{"name":"2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS)","volume":"57 1","pages":"317-324"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90691780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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