Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks
This study established back-propagation neural networks (BPNNs) for evaluating the freshness of bighead carp (Hypophthalmichthys nobilis) heads during chilled storage via fluorescence spectroscopy using an excitation-emission matrix (EEM). The total volatile basic nitrogen (TVB-N) and total aerobic...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2022-06-01
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| Series: | Journal of Future Foods |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772566922000222 |
| _version_ | 1811199453614309376 |
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| author | Ce Shi Zengtao Ji Xinting Yang Zhixin Jia Ruize Dong Ge Shi |
| author_facet | Ce Shi Zengtao Ji Xinting Yang Zhixin Jia Ruize Dong Ge Shi |
| author_sort | Ce Shi |
| collection | DOAJ |
| description | This study established back-propagation neural networks (BPNNs) for evaluating the freshness of bighead carp (Hypophthalmichthys nobilis) heads during chilled storage via fluorescence spectroscopy using an excitation-emission matrix (EEM). The total volatile basic nitrogen (TVB-N) and total aerobic count (TAC) of fish increased obviously during storage at 0, 4, 8, 12, and 16 °C, while sensory scores decreased with increasing storage time. The EEM fluorescence intensity was measured, and its change was correlated with the freshness indicators of the samples. Three characteristic components of EEM data were extracted by parallel factor analysis, and two freshness indicators were used to construct the EEM-BPNNs model. The results demonstrated that the relative errors of the EEM-BPNNs model for TVB-N and TAC were less than 14%. This result indicated that the EEM-BPNNs model could determine the freshness of fish in cold chains in a rapid and nondestructive way. |
| first_indexed | 2024-04-12T01:48:25Z |
| format | Article |
| id | doaj.art-7c6ed05de536480fa43773d650fd9852 |
| institution | Directory Open Access Journal |
| issn | 2772-5669 |
| language | English |
| last_indexed | 2024-04-12T01:48:25Z |
| publishDate | 2022-06-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Journal of Future Foods |
| spelling | doaj.art-7c6ed05de536480fa43773d650fd98522022-12-22T03:53:00ZengKeAi Communications Co. Ltd.Journal of Future Foods2772-56692022-06-0122160166Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networksCe Shi0Zengtao Ji1Xinting Yang2Zhixin Jia3Ruize Dong4Ge Shi5Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; Key Laboratory of Cold Chain Logistics Technology for Agro-product, Ministry of Agriculture and Rural Affairs, Beijing 100097, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; Key Laboratory of Cold Chain Logistics Technology for Agro-product, Ministry of Agriculture and Rural Affairs, Beijing 100097, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; Key Laboratory of Cold Chain Logistics Technology for Agro-product, Ministry of Agriculture and Rural Affairs, Beijing 100097, China; Corresponding author at, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; Key Laboratory of Cold Chain Logistics Technology for Agro-product, Ministry of Agriculture and Rural Affairs, Beijing 100097, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; National Engineering Laboratory for Agri-product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, ChinaThis study established back-propagation neural networks (BPNNs) for evaluating the freshness of bighead carp (Hypophthalmichthys nobilis) heads during chilled storage via fluorescence spectroscopy using an excitation-emission matrix (EEM). The total volatile basic nitrogen (TVB-N) and total aerobic count (TAC) of fish increased obviously during storage at 0, 4, 8, 12, and 16 °C, while sensory scores decreased with increasing storage time. The EEM fluorescence intensity was measured, and its change was correlated with the freshness indicators of the samples. Three characteristic components of EEM data were extracted by parallel factor analysis, and two freshness indicators were used to construct the EEM-BPNNs model. The results demonstrated that the relative errors of the EEM-BPNNs model for TVB-N and TAC were less than 14%. This result indicated that the EEM-BPNNs model could determine the freshness of fish in cold chains in a rapid and nondestructive way.http://www.sciencedirect.com/science/article/pii/S2772566922000222Excitation-emission matrixFreshnessBack-propagation neural networksParallel factor analysisChilled storage |
| spellingShingle | Ce Shi Zengtao Ji Xinting Yang Zhixin Jia Ruize Dong Ge Shi Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks Journal of Future Foods Excitation-emission matrix Freshness Back-propagation neural networks Parallel factor analysis Chilled storage |
| title | Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks |
| title_full | Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks |
| title_fullStr | Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks |
| title_full_unstemmed | Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks |
| title_short | Nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation-emission matrix fluorescence and back-propagation neural networks |
| title_sort | nondestructive determination of the freshness change in bighead carp heads under variable temperatures by using excitation emission matrix fluorescence and back propagation neural networks |
| topic | Excitation-emission matrix Freshness Back-propagation neural networks Parallel factor analysis Chilled storage |
| url | http://www.sciencedirect.com/science/article/pii/S2772566922000222 |
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