Abstract

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

Highlights

  • Due to improper storage and perishable factors, fruit rot have caused serious environmental pollution and waste in the circulation process, which has directly been affecting the progress and economic benefits of sustainable development and improvement

  • The test and analysis process is cumbersome and slow, and the fruits must be destroyed during the test, which is of little practical significance for fruit quality identification

  • The NI USB-6366 data-acquisition card with 8-channel was used and the data acquisition and analysis software based on the LabVIEW platform was developed.The system was used to monitor the corruption of the four kinds of stone fruits.After that, PCA was used to analyze the degree of fruit’s corruption

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Summary

Introduction

Due to improper storage and perishable factors, fruit rot have caused serious environmental pollution and waste in the circulation process, which has directly been affecting the progress and economic benefits of sustainable development and improvement. Natale et al [5] and Saevels et al [6] used electronic noses to evaluate the quality of harvested apples and found that there was a large correlation between hardness changes and predicted results during storage period.Tabassum S et al.[7,8]used an efficient and convenient method of patterning nanostructures on the cleaved facet of an optical fiber to realize a highperformance fiber-optic gas sensor. The research on the electronic nose in the fruit field at home and abroad mainly lies in the differentiation of fruit’s maturity, the prediction of storage period, and the identification of varieties. Eight types of metal oxide gas sensors were used to construct the electronic nose system to monitor the change rules and diffusion process of gas components in the process of fruit spoilage under storage environment. The NI USB-6366 data-acquisition card with 8-channel was used and the data acquisition and analysis software based on the LabVIEW platform was developed.The system was used to monitor the corruption of the four kinds of stone fruits (pitaya, snow pear, kiwifruit and Fuji apple).After that, PCA was used to analyze the degree of fruit’s corruption

Electronic nose system design
Sensor Array and Data Acquisition Module
Analysis of different kinds of fruits
Using PCA to analyze the degree of fruits decay
Findings
Conclusion

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