Results 281 to 290 of about 18,843,321 (330)

E-eye, flash GC E-nose and HS-GC-MS combined with chemometrics to identify the adulterants and geographical origins of Ziziphi Spinosae Semen.

Food Chemistry, 2023
Ziziphi Spinosae Semen (ZSS), a valuable seed food, has faced increasing authenticity issues. In this study, the adulterants and geographical origins of ZSS were successfully identified by electronic eye, flash gas chromatography electronic nose (Flash ...
Jiu-ba Zhang, Mingxia Li, Yun-Fei Zhang, Yuanyuan Qin, Yu Li, Lian-lin Su, Lin Li, Zhen-hua Bian, Tu-lin Lu   +8 more
semanticscholar   +1 more source

Cross-reactive Sensors (or e-Noses)

2022
An e-Nose is based on having an array of broadly tuned sensors that produce a unique response pattern when exposed to a complex mixture of chemicals, with the pattern being different when the mixture changes or new chemicals are detected. It is now applied to noninvasive screening and diagnostics of patients for many diseases, sniffing breath or bodily
Chandrapalan, S., Arasaradnam, R.P., Kvasnik, F., Persaud, K.C.   +3 more
openaire   +1 more source

E-Nose System Based on Fourier Series for Gases Identification and Concentration Estimation From Food Spoilage

IEEE Sensors Journal, 2023
This work presents an electronic nose (EN)-based gas identification and concentration estimation method for the detection of food spoilage. The response data of sensors were acquired through a commercial gas sensor array and data acquisition circuit ...
Jie-Chun Luo, Zehao Zhu, Wen Lv, Jian Wu, Jianhua Yang, Min Zeng, Nantao Hu, Yanjie Su, Ruili Liu, Zhi Yang   +9 more
semanticscholar   +1 more source

A CNN-Based E-Nose Using Time Series Features for Food Freshness Classification

IEEE Sensors Journal, 2023
In this article, a convolutional neural network (CNN)-based electronic nose system is proposed, which utilizes time series features to classify the freshness of food.
Xudong Ren, Yudong Wang, Yuan Huang, Muhammad Mustafa, Dongbo Sun, Feng Xue, Dongliang Chen, Lei Xu, Feng Wu   +8 more
semanticscholar   +1 more source

Calibration transfer between e-noses

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Electronic nose is an instrument which is composed of gas sensor array and pattern recognition unit. It is generally used for classifying, identifying or quantifying the odors or volatile organic components for these commonly used devices, calibration transfer is an important issue because of differences in each instrument, sensor drift, changes in ...
Selda Guney, Luis Fernandez, Santiago Marco   +2 more
openaire   +1 more source

Electronic Nose (E-Nose)

2019 International Conference on Information Science and Communication Technology (ICISCT), 2019
Smell is one of the six senses of human beings and there is not a lot of work on that sense, therefore, this paper is based on that sense. It aims to develop Electronic Nose (E-Nose) that will work not only to determine the ripeness level of fruits but also to make prediction that how long they will remain in that particular stage and also the ...
Syed Haris Bin Hafeez, Huma Hasan Rizvi, Riyam Sarfaraz, Syed Muhammad Umer, Muhammad Aali Siddiqui   +4 more
openaire   +1 more source

Development of rapid and non-destructive electric nose (E-nose) system for shelf life evaluation of different edible seeds.

Food Chemistry, 2023
Shelf life estimation is crucial in ensuring the quality of food products. However, traditional methods are time-consuming and inefficient. Therefore, there is an urgent need for simple, efficient and rapid techniques for quality assessments.
Shubhi Singh, S. Gaur
semanticscholar   +1 more source

AI-Enabled Portable E-Nose Regression Predicting Harmful Molecules in a Gas Mixture.

ACS Sensors
The biomimetic electronic nose (e-nose) technology is a novel technology used for the identification and monitoring of complex gas molecules, and it is gaining significance in this field.
Jilei Yang, Xuefeng Hu, Lihang Feng, Zhiyuan Liu, Adil Murtazt, Weiwei Qin, Ming Zhou, Jiaming Liu, Yali Bi, Jingui Qian, Wei Zhang   +10 more
semanticscholar   +1 more source

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, I. Cho, Mingu Kang, Jaeseok Jeong, Minho Choi, K. Woo, Kuk-Jin Yoon, Yong‐Hoon Cho, I. Park   +8 more
semanticscholar   +1 more source

Diagnosis of lung cancer with E-nose

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
In this work an Electronic Nose system with low cost is developed in order to analyze human breath and this system's success is tested on diagnosing lung cancer. In this Electronic Nose system, Quartz Crystal Microbalance and Metal Oxide Semiconductor gas sensors are used.
Yapici, Sule, ATASOY, AYTEN, ÖZSANDIKCIOĞLU, ÜMİT   +2 more
openaire   +2 more sources