Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology
Korla fragrant pear is prestigious for its special texture and unique flavor but suffers storage and supply chain difficulties for its deterioration-prone properties. In order to improve the storage quality of Korla fragrant pears during the whole cold chain from the orchard to the customers, the pa...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-09-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/9/18/3895 |
| _version_ | 1818336544005554176 |
|---|---|
| author | Jingjing Liu Xu Zhang Zhigang Li Xiaoshuan Zhang Tomislav Jemric Xiang Wang |
| author_facet | Jingjing Liu Xu Zhang Zhigang Li Xiaoshuan Zhang Tomislav Jemric Xiang Wang |
| author_sort | Jingjing Liu |
| collection | DOAJ |
| description | Korla fragrant pear is prestigious for its special texture and unique flavor but suffers storage and supply chain difficulties for its deterioration-prone properties. In order to improve the storage quality of Korla fragrant pears during the whole cold chain from the orchard to the customers, the paper deeply researches multiple influencing factors of cold chain logistics and home storage of Korla fragrant pears with multi-sensor technology (MST), such as the temperature, relative humidity, concentrations of oxygen (O<sub>2</sub>), carbon dioxide (CO<sub>2</sub>) and ethylene (C<sub>2</sub>H<sub>4</sub>). Cold chain logistics are assessed by sensory evaluation and physiological index measurement, and home storage environments are classified by using back propagation neural network (BPNN) in both refrigerators and ordinary rooms. Experimental results show that the MST-based detectors can improve the accuracy of continuous sensor data acquisition, such that the preservation quality of Korla fragrant pears is effectively enhanced by data analysis on gas contents, firmness, pH, and total soluble solids. These results indicate that Korla fragrant pears stored in refrigerators have a higher acceptance for customers. |
| first_indexed | 2024-12-13T14:41:00Z |
| format | Article |
| id | doaj.art-4996306f04c34d6c978c4983f1d66141 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T14:41:00Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4996306f04c34d6c978c4983f1d661412022-12-21T23:41:36ZengMDPI AGApplied Sciences2076-34172019-09-01918389510.3390/app9183895app9183895Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor TechnologyJingjing Liu0Xu Zhang1Zhigang Li2Xiaoshuan Zhang3Tomislav Jemric4Xiang Wang5College of Information Science and Technology, Shihezi University, Shihezi 832003, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaCollege of Information Science and Technology, Shihezi University, Shihezi 832003, ChinaCollege of Engineering, China Agricultural University, Beijing 100083, ChinaFaculty of Agriculture, Department of Pomology, University of Zagreb, 10000 Zagreb, CroatiaCollege of Engineering, China Agricultural University, Beijing 100083, ChinaKorla fragrant pear is prestigious for its special texture and unique flavor but suffers storage and supply chain difficulties for its deterioration-prone properties. In order to improve the storage quality of Korla fragrant pears during the whole cold chain from the orchard to the customers, the paper deeply researches multiple influencing factors of cold chain logistics and home storage of Korla fragrant pears with multi-sensor technology (MST), such as the temperature, relative humidity, concentrations of oxygen (O<sub>2</sub>), carbon dioxide (CO<sub>2</sub>) and ethylene (C<sub>2</sub>H<sub>4</sub>). Cold chain logistics are assessed by sensory evaluation and physiological index measurement, and home storage environments are classified by using back propagation neural network (BPNN) in both refrigerators and ordinary rooms. Experimental results show that the MST-based detectors can improve the accuracy of continuous sensor data acquisition, such that the preservation quality of Korla fragrant pears is effectively enhanced by data analysis on gas contents, firmness, pH, and total soluble solids. These results indicate that Korla fragrant pears stored in refrigerators have a higher acceptance for customers.https://www.mdpi.com/2076-3417/9/18/3895‘Korla’ fragrant pearscold chain logisticthe multi-sensor technologyback propagation neural network |
| spellingShingle | Jingjing Liu Xu Zhang Zhigang Li Xiaoshuan Zhang Tomislav Jemric Xiang Wang Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology Applied Sciences ‘Korla’ fragrant pears cold chain logistic the multi-sensor technology back propagation neural network |
| title | Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology |
| title_full | Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology |
| title_fullStr | Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology |
| title_full_unstemmed | Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology |
| title_short | Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology |
| title_sort | quality monitoring and analysis of xinjiang korla fragrant pear in cold chain logistics and home storage with multi sensor technology |
| topic | ‘Korla’ fragrant pears cold chain logistic the multi-sensor technology back propagation neural network |
| url | https://www.mdpi.com/2076-3417/9/18/3895 |
| work_keys_str_mv | AT jingjingliu qualitymonitoringandanalysisofxinjiangkorlafragrantpearincoldchainlogisticsandhomestoragewithmultisensortechnology AT xuzhang qualitymonitoringandanalysisofxinjiangkorlafragrantpearincoldchainlogisticsandhomestoragewithmultisensortechnology AT zhigangli qualitymonitoringandanalysisofxinjiangkorlafragrantpearincoldchainlogisticsandhomestoragewithmultisensortechnology AT xiaoshuanzhang qualitymonitoringandanalysisofxinjiangkorlafragrantpearincoldchainlogisticsandhomestoragewithmultisensortechnology AT tomislavjemric qualitymonitoringandanalysisofxinjiangkorlafragrantpearincoldchainlogisticsandhomestoragewithmultisensortechnology AT xiangwang qualitymonitoringandanalysisofxinjiangkorlafragrantpearincoldchainlogisticsandhomestoragewithmultisensortechnology |