In Situ Grown Gold Nanoisland-Based Chemiresistive Electronic Nose for Sniffing Distinct Odor Fingerprints

2022 ◽  
Author(s):  
Prashant Gupta ◽  
Hamed Gholami Derami ◽  
Darshit Mehta ◽  
Huzeyfe Yilmaz ◽  
Shantanu Chakrabartty ◽  
...  
Keyword(s):  
Electronic Nose

Detection of Mycobacterium tuberculosis (TB) in vitro and in situ using an electronic nose in combination with a neural network system

2004 ◽  
Vol 20 (3) ◽  
pp. 538-544 ◽  
Author(s):  
Alexandros K. Pavlou ◽  
Naresh Magan ◽  
Jeff Meecham Jones ◽  
Jonathan Brown ◽  
Paul Klatser ◽  
...  
Keyword(s):  
Neural Network ◽  
Mycobacterium Tuberculosis ◽  
Electronic Nose ◽  
Network System ◽  
Neural Network System

Different Nanowire Materials Localized Growth and In-Situ Integration for Electronic Nose Applications

2018 ◽  
Author(s):  
Guillem Domenech-Gil ◽  
Antonio Pardo ◽  
Albert Romano-Rodriguez ◽  
Lukas Hrachowina ◽  
Michael S. Seifner ◽  
...  
Keyword(s):  
Electronic Nose

Calibration transfer between electronic nose systems for rapid In situ measurement of pulp and paper industry emissions

2014 ◽  
Vol 841 ◽  
pp. 58-67 ◽  
Author(s):  
Sharvari Deshmukh ◽  
Kalyani Kamde ◽  
Arun Jana ◽  
Sanjivani Korde ◽  
Rajib Bandyopadhyay ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Paper Industry ◽  
Pulp And Paper Industry ◽  
Pulp And Paper ◽  
In Situ Measurement ◽  
Calibration Transfer

Development of a portable electronic nose for in‐situ detection of submerged fermentation of Tremella aurantialba

2021 ◽  
Author(s):  
Chunxia Dai ◽  
Xingyi Huang ◽  
Jun Sun ◽  
Xiaoyu Tian ◽  
Joshua H. Aheto ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Submerged Fermentation ◽  
In Situ Detection

scholarly journals Site-Specific Growth and in Situ Integration of Different Nanowire Material Networks on a Single Chip: Toward a Nanowire-Based Electronic Nose for Gas Detection

ACS Sensors ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 727-734 ◽  
Author(s):  
Lukas Hrachowina ◽  
Guillem Domènech-Gil ◽  
Antonio Pardo ◽  
Michael S. Seifner ◽  
Isabel Gràcia ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Specific Growth ◽  
Gas Detection ◽  
Single Chip ◽  
Site Specific

In-situ food spoilage monitoring using a wireless chemical receptor-conjugated graphene electronic nose

2021 ◽  
pp. 113908
Author(s):  
Kyung Ho Kim ◽  
Chul Soon Park ◽  
Seon Joo Park ◽  
Jinyeong Kim ◽  
Sung Eun Seo ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Food Spoilage

scholarly journals The Electronic Nose Coupled with Chemometric Tools for Discriminating the Quality of Black Tea Samples In Situ

Chemosensors ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 29 ◽  
Author(s):  
Shidiq Nur Hidayat ◽  
Kuwat Triyana ◽  
Inggrit Fauzan ◽  
Trisna Julian ◽  
Danang Lelono ◽  
...  
Keyword(s):  
Electronic Nose ◽  
External Validation ◽  
Principal Component ◽  
Black Tea ◽  
Oxide Semiconductor ◽  
Support Vector ◽  
Quality Level ◽  
Validation Data ◽  
Signal Preprocessing

An electronic nose (E-nose), comprising eight metal oxide semiconductor (MOS) gas sensors, was used in situ for real-time classification of black tea according to its quality level. Principal component analysis (PCA) coupled with signal preprocessing techniques (i.e., time set value preprocessing, F1; area under curve preprocessing, F2; and maximum value preprocessing, F3), allowed grouping the samples from seven brands according to the quality level. The E-nose performance was further checked using multivariate supervised statistical methods, namely, the linear and quadratic discriminant analysis, support vector machine together with linear or radial kernels (SVM-linear and SVM-radial, respectively). For this purpose, the experimental dataset was split into two subsets, one used for model training and internal validation using a repeated K-fold cross-validation procedure (containing the samples collected during the first three days of tea production); and the other, for external validation purpose (i.e., test dataset, containing the samples collected during the 4th and 5th production days). The results pointed out that the E-nose-SVM-linear model together with the F3 signal preprocessing method was the most accurate, allowing 100% of correct predictive classifications (external-validation data subset) of the samples according to their quality levels. So, the E-nose-chemometric approach could be foreseen has a practical and feasible classification tool for assessing the black tea quality level, even when applied in-situ, at the harsh industrial environment, requiring a minimum and simple sample preparation. The proposed approach is a cost-effective and fast, green procedure that could be implemented in the near future by the tea industry.

Rendez vous with Saturn's rings

1984 ◽  
Vol 75 ◽  
pp. 743-759 ◽  
Author(s):  
Kerry T. Nock
Keyword(s):  
Solar Energy ◽  
Electric Propulsion ◽  
Power Source ◽  
Propulsion System ◽  
Low Thrust ◽  
Ring Plane ◽  
The Earth ◽  
Total Impulse ◽  
Saturn's Rings

ABSTRACTA mission to rendezvous with the rings of Saturn is studied with regard to science rationale and instrumentation and engineering feasibility and design. Future detailedin situexploration of the rings of Saturn will require spacecraft systems with enormous propulsive capability. NASA is currently studying the critical technologies for just such a system, called Nuclear Electric Propulsion (NEP). Electric propulsion is the only technology which can effectively provide the required total impulse for this demanding mission. Furthermore, the power source must be nuclear because the solar energy reaching Saturn is only 1% of that at the Earth. An important aspect of this mission is the ability of the low thrust propulsion system to continuously boost the spacecraft above the ring plane as it spirals in toward Saturn, thus enabling scientific measurements of ring particles from only a few kilometers.

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