Results 1 to 10 of about 18,843,321 (330)
Combining e-nose and e-tongue for improved recognition of instant starch noodles seasonings
Seasonings play a key role in determining sensory attributes of instant starch noodles. Controlling and improving the quality of seasoning is becoming important.
Rong Ma +4 more
doaj +2 more sources
Gas Recognition in E-Nose System: A Review
Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for recognizing multivariate responses obtained by gas sensors in various applications. Over the past decades, classical gas recognition approaches such as principal component analysis (PCA) have been widely applied in E-nose systems.
Hong Chen, Dexuan Huo, Jilin Zhang
openaire +3 more sources
Background: An e-nose or an e-tongue is a group of gas sensors or chemical sensors that simulate human nose or human tongue. Both e-nose and e-tongue have shown great promise and utility in improving assessments of food quality characteristics compared ...
Juzhong Tan, Jie Xu
doaj +2 more sources
Recognition Algorithms in E-Nose: A Review
In recent years, the smart electronic nose (E-nose) has witnessed rapid applications in diverse fields. Apart from sensor arrays, the recognition algorithm plays a determinant role in the performance of E-nose. Focusing on the signal processing of E-nose,
Xingan Yang +5 more
openaire +2 more sources
Mycotoxin risk in the feed supply chain poses a concern to animal and human health, economy, and international trade of agri-food commodities. Mycotoxin contamination in feed and food is unavoidable and unpredictable.
Federica Cheli +5 more
doaj +2 more sources
Recent Advances and Future Perspectives in the E-Nose Technologies Addressed to the Wine Industry. [PDF]
Electronic nose devices stand out as pioneering innovations in contemporary technological research, addressing the arduous challenge of replicating the complex sense of smell found in humans. Currently, sensor instruments find application in a variety of
Alfieri G +3 more
europepmc +2 more sources
E-Nose: Time-Frequency Attention Convolutional Neural Network for Gas Classification and Concentration Prediction. [PDF]
In the electronic nose (E-nose) systems, gas type recognition and accurate concentration prediction are some of the most challenging issues. This study introduced an innovative pattern recognition method of time–frequency attention convolutional neural ...
Jiang M +8 more
europepmc +2 more sources
Early Detection of Monilinia laxa in Yellow-Fleshed Peach Using a Non-Destructive E-Nose Approach [PDF]
This study evaluated the performance of an electronic nose (E-nose) system for the early detection of fungal spoilage in yellow-fleshed peach (Prunus persica cv. ‘Carla’).
Ana Martínez +5 more
doaj +2 more sources
Utilizing E-nose for detection of mealybug infestation and ripeness of durian [PDF]
Background Mealybugs are major pests that cause sap loss and can significantly reduce the quality and market value of durian fruits. Early detection is essential for effective pest management.
Chun-I Chiu +5 more
doaj +3 more sources
A Prototype of Graphene E-Nose for Exhaled Breath Detection and Label-Free Diagnosis of Helicobacter Pylori Infection. [PDF]
Helicobacter pylori (HP), a common microanaerobic bacteria that lives in the human mouth and stomach, is reported to infect ≈50% of the global population. The current diagnostic methods for HP are either invasive, time‐consuming, or harmful. Therefore, a
Liu X +7 more
europepmc +2 more sources

