Storage time identification of kiwi fruit based on electronic nose and physical characteristic combination

2015 ◽  
Keyword(s):  
Electronic Nose ◽  
Physical Characteristic ◽  
Storage Time ◽  
Kiwi Fruit

Prediction of egg storage time and yolk index based on electronic nose combined with chemometric methods

LWT ◽  
2017 ◽  
Vol 82 ◽  
pp. 369-376 ◽  
Author(s):  
Jiating Li ◽  
Susu Zhu ◽  
Shui Jiang ◽  
Jun Wang
Keyword(s):  
Electronic Nose ◽  
Storage Time ◽  
Chemometric Methods ◽  
Egg Storage

Monitoring storage time and quality attribute of egg based on electronic nose

2009 ◽  
Vol 650 (2) ◽  
pp. 183-188 ◽  
Author(s):  
Wang Yongwei ◽  
Jun Wang ◽  
Bo Zhou ◽  
Qiujun Lu
Keyword(s):  
Electronic Nose ◽  
Storage Time ◽  
Quality Attribute

scholarly journals Tomato Quality during Short-Term Storage Assessed by Colour and Electronic Nose

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Valeria Messina ◽  
Pía Guadalupe Domínguez ◽  
Ana Maria Sancho ◽  
Noemi Walsöe de Reca ◽  
Fernando Carrari ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Olfactory System ◽  
Storage Time ◽  
Function Analysis ◽  
Colour Properties ◽  
Short Term ◽  
Colour Parameter ◽  
Short Term Storage ◽  
Term Storage ◽  
Odour Profile

An assay based on an electronic olfactory system was set to evaluate tomato fruits by sensing the aromatic volatiles during postharvest storage of 21 days at C in darkness. Olfactory system measurements were coupled with colour values. Odour profile and senescence parameters were carried out at 7-day intervals. Discriminant function analysis applied to electronic nose data showed three components, accounting for 99.2% of the total variance. In the present assay, separation among groups according to storage time (0, 7, and 14 days) was observed for wildtype. Overexpressed (Money Maker) lines/plants of tomato showed difference between odour profile for day 0 and day 21, even tough a no clear discrimination between 7 and 14 days was observed. Fruit lost weight almost linearly with shelf life () presenting an averaged loss of 21% () for over-expressed (Money Maker) lines/plants, 13% () for silenced (Money Maker), and 14% () for wild type during 21 days of storage. Colour values , , and data showed that colour properties changed during storage for all the lines considered. Correlations between odour profiles and colour parameter were obtained showing that the electronic nose is a useful technique for monitoring short-term storage of tomato.

scholarly journals Freshness Evaluation of Three Kinds of Meats Based on the Electronic Nose

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 605 ◽  
Author(s):  
Jun Chen ◽  
Juanhong Gu ◽  
Rong Zhang ◽  
Yuezhong Mao ◽  
Shiyi Tian
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Sensory Evaluation ◽  
Electronic Nose ◽  
Storage Time ◽  
Principal Component ◽  
Component Analysis ◽  
Set Up ◽  
Storage Times

The aim of this study was to use an electronic nose set up in our lab to detect and predict the freshness of pork, beef and mutton. Three kinds of freshness, including fresh, sub-fresh and putrid, was established by human sensory evaluation and was used as a reference for the electronic nose’s discriminant factor analysis. The principal component analysis results showed the electronic nose could distinguish well pork, beef and mutton samples with different storage times. In the PCA figures, three kinds of meats samples all presented an approximate parabola trend during 7 days’ storage time. The discriminant factor analysis showed electronic nose could distinguish and judge well the freshness of samples (accuracy was 89.5%, 84.2% and 94.7% for pork, beef and mutton, respectively). Therefore, the electronic nose is promising for meat fresh detection application.

Ridgetail White Prawns, Exopalaemon carinicauda, Storage Time Rapid Determination Using Electronic Nose

2013 ◽  
Vol 7 (5) ◽  
pp. 986-993 ◽  
Author(s):  
Guohua Hui ◽  
Yang Yue ◽  
Zhou Yao ◽  
Zhou Yuren ◽  
Wang Minmin ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Storage Time ◽  
Rapid Determination ◽  
Exopalaemon Carinicauda

scholarly journals Detection of fruits in warehouse using Electronic nose

2018 ◽  
Vol 232 ◽  
pp. 04035 ◽  
Author(s):  
Qinghang Ding ◽  
Dongjie Zhao ◽  
Jun liu ◽  
Zeming Yang
Keyword(s):  
Electronic Nose ◽  
Computer Software ◽  
Oxide Semiconductor ◽  
Kiwi Fruit ◽  
Node Deployment ◽  
Dragon Fruit ◽  
Fuji Apple ◽  
Semiconductor Gas Sensors ◽  
Data Acquisition Module ◽  
Electronic Nose System

An electronic nose system for storage environments was built. The system would consist of sensor array, data acquisition module and host computer software. The electronic nose made up with eight metal-oxide-semiconductor gas sensors was used to test four types of stone fruit (Dragon fruit, Snow pear, Kiwi fruit, and Fuji apple). The results showed that the rate of corruption of kiwifruit was the fastest, followed by pitaya, and the apples and pears was comparable. The tested fruits can be divided into fresh and spoiled grades by using PCA. And finally, according to the problems related to node deployment, the electronic nose node deployment program was proposed

scholarly journals The Feasibility and Stability of Distinguishing the Kiwi Fruit Geographical Origin Based on Electronic Nose Analysis

2014 ◽  
Vol 20 (6) ◽  
pp. 1173-1181 ◽  
Author(s):  
Yiyan Ma ◽  
Boli Guo ◽  
Yimin Wei ◽  
Shuai Wei ◽  
Haiyan Zhao
Keyword(s):  
Electronic Nose ◽  
Geographical Origin ◽  
Kiwi Fruit
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