Results 301 to 310 of about 476,667 (323)

Use of a Novel Passive E-Nose to Monitor Fermentable Prebiotic Fiber Consumption. [PDF]

open access: yesSensors (Basel)
Kosinski L   +9 more
europepmc   +1 more source

Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors. [PDF]

open access: yesNat Commun
Koutlas I   +7 more
europepmc   +1 more source

Multiple oscillators underlie circadian food anticipation in mice. [PDF]

open access: yesNeurobiol Sleep Circadian Rhythms
Ehichioya DE   +5 more
europepmc   +1 more source
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Ultra-Low-Power E-Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning.

ACS Nano, 2022
As interests in air quality monitoring related to environmental pollution and industrial safety increase, demands for gas sensors are rapidly increasing.
Kichul Lee   +8 more
semanticscholar   +1 more source

Noninvasive detection of COPD and Lung Cancer through breath analysis using MOS Sensor array based e-nose

Expert Review of Molecular Diagnostics, 2021
Introduction This paper describes the research work done toward the development of a breath analyzing electronic nose (e-nose), and the results obtained from testing patients with lung cancer, patients with chronic obstructive pulmonary disease (COPD ...
B. V. A., M. Subramoniam, L. Mathew
semanticscholar   +1 more source

The Optoelectronic Nose: Colorimetric and Fluorometric Sensor Arrays.

Chemical Reviews, 2018
A comprehensive review on the development and state of the art of colorimetric and fluorometric sensor arrays is presented. Chemical sensing aims to detect subtle changes in the chemical environment by transforming relevant chemical or physical ...
Zheng Li, Jon R. Askim, K. Suslick
semanticscholar   +1 more source

Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose

IEEE Sensors Journal, 2021
This research aims to apply an electronic nose (e-Nose) identifying TB through exhaled breath combined with machine learning methods. For the e-Nose system, participants breath normally into the e-Nose chamber.
Hendrick Hendrick   +3 more
semanticscholar   +1 more source

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