AIMC Topic: Electronic Nose

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Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.

Molecules (Basel, Switzerland) Aug 23, 2021
Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors can affect the composition and levels (concentration) of volatile aromatic compounds, including the water status of grapevines, canopy management, an...
Principal Component Analysis Wine Vitis Neural Networks, Computer Machine Learning Multivariate Analysis Electronic Nose Smoke Gas Chromatography-Mass Spectrometry Odorants Volatile Organic Compounds
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An Ensemble Learning Method for Robot Electronic Nose with Active Perception.

Sensors (Basel, Switzerland) Jun 7, 2021
The electronic nose is the olfactory organ of the robot, which is composed of a large number of sensors to perceive the smell of objects through free diffusion. Traditionally, it is difficult to realize the active perception function, and it is diffi...
Nose Machine Learning Robotics Odorants Smell Perception Electronic Nose
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E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review.

Critical reviews in food science and nutrition Mar 29, 2021
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different compounds in several food matrices. These sensors allow the detection of one or more compounds present in complex food samples, and the responses obt...
Tongue Humans Food Quality Artificial Intelligence Electronic Nose Algorithms
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Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non-Invasive Diabetes Diagnosis: A Review.

IEEE reviews in biomedical engineering Jan 22, 2021
Diabetes mellitus, commonly measured through an invasive process which although is accurate, has manifold drawbacks especially when multiple reading are required at regular intervals. Accordingly, there is a need to develop a dependable non-invasive ...
Biomarkers Biosensing Techniques Diabetes Mellitus Humans Machine Learning Glucose Breath Tests Electronic Nose Monitoring, Physiologic Signal Processing, Computer-Assisted Acetone
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Breath biopsy of breast cancer using sensor array signals and machine learning analysis.

Scientific reports Jan 8, 2021
Breast cancer causes metabolic alteration, and volatile metabolites in the breath of patients may be used to diagnose breast cancer. The objective of this study was to develop a new breath test for breast cancer by analyzing volatile metabolites in t...
Electronic Nose Middle Aged Case-Control Studies Biopsy Nanotubes, Carbon Volatile Organic Compounds Breath Tests Aged Adult Breast Neoplasms Humans Machine Learning
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Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.

Sensors (Basel, Switzerland) Jul 30, 2020
In this study, an electronic nose (E-nose) consisting of seven metal oxide semiconductor sensors is developed to identify milk sources (dairy farms) and to estimate the content of milk fat and protein which are the indicators of milk quality. The dev...
Logistic Models Machine Learning Support Vector Machine Discriminant Analysis Food Analysis Algorithms Animals Milk Electronic Nose
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Sensor-Array Optimization Based on Time-Series Data Analytics for Sanitation-Related Malodor Detection.

IEEE transactions on biomedical circuits and systems Jun 12, 2020
There is an unmet need for a low-cost instrumented technology for detecting sanitation-related malodor as an alert for maintenance around shared toilets and emerging technologies for onsite waste treatment. In this article, our approach to an electro...
Gases Humans Electronic Nose Neural Networks, Computer Equipment Design Toilet Facilities Machine Learning Odorants Algorithms Urine Feces
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Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model.

Sensors (Basel, Switzerland) Jun 3, 2020
For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the qual...
Machine Learning Algorithms Food Analysis Cluster Analysis Food Quality Electronic Nose
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An Array of MOX Sensors and ANNs to Assess Grated Parmigiano Reggiano Cheese Packs' Compliance with CFPR Guidelines.

Biosensors May 2, 2020
Parmigiano Reggiano cheese is one of the most appreciated Italian foods on account of its high nutrient content and taste. Due to its high cost, these characteristics make this product subject to counterfeiting in different forms. In this study, an a...
Neural Networks, Computer Copper Semiconductors Volatile Organic Compounds Electronic Nose Tin Compounds Cheese
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Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.

Respiratory research Feb 7, 2020
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate ...
Respiratory Mechanics Pneumonia, Ventilator-Associated Electronic Nose Aged, 80 and over Biomedical Research Humans Male Intensive Care Units Machine Learning Middle Aged Female Case-Control Studies Aged Decision Trees
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