Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains
To swiftly and noninvasively assess the freshness of bighead carp heads within simulated cold chain environments, an excitation-emission matrix fluorescence spectroscopy coupled with a long short-term memory network (EEM-LSTM) model was developed. Through the parallel factor algorithm based on analy...
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| Format: | Article |
| Language: | English |
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Maximum Academic Press
2024-10-01
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| Series: | Food Innovation and Advances |
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| Online Access: | https://www.maxapress.com/article/doi/10.48130/fia-0024-0037 |
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| author | Juan You Zhenqian Sun Xiaoting Li Xiaoguo Ying Ce Shi Hongbing Fan |
| author_facet | Juan You Zhenqian Sun Xiaoting Li Xiaoguo Ying Ce Shi Hongbing Fan |
| author_sort | Juan You |
| collection | DOAJ |
| description | To swiftly and noninvasively assess the freshness of bighead carp heads within simulated cold chain environments, an excitation-emission matrix fluorescence spectroscopy coupled with a long short-term memory network (EEM-LSTM) model was developed. Through the parallel factor algorithm based on analysis of residuals, diagnosis of core consistency, and split-half evaluation, three key fluorescent components from fish fillets were extracted, with the most significant components linked to tryptophan and NADH, both indicative of fish freshness. The EEM-LSTM model exhibited coherent trends in freshness indicators and demonstrated exceptional predictive capabilities for four freshness indicators simultaneously, achieving R2 values exceeding 0.8840 in simulated cold chain situations. Relative errors in the supermarket direct sales cold chain were less than 10%, surpassing those of the long-distance transport cold chain. Hence, the EEM-LSTM model stands validated for predicting fish freshness in simulated cold chains, holding promise for real-world aquatic product freshness forecasting within cold chain scenarios. |
| format | Article |
| id | doaj-art-38dbcd5cffbc4d06a47f322c568e4b99 |
| institution | OA Journals |
| issn | 2836-774X |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Maximum Academic Press |
| record_format | Article |
| series | Food Innovation and Advances |
| spelling | doaj-art-38dbcd5cffbc4d06a47f322c568e4b992025-08-20T02:12:31ZengMaximum Academic PressFood Innovation and Advances2836-774X2024-10-013440541510.48130/fia-0024-0037fia-0024-0037Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chainsJuan You0Zhenqian Sun1Xiaoting Li2Xiaoguo Ying3Ce Shi4Hongbing Fan5College of Food Science and Technology, Huazhong Agricultural University/National R and D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Wuhan 430070, Hubei Province, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaCollege of Food Science and Technology, Huazhong Agricultural University/National R and D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Wuhan 430070, Hubei Province, ChinaCollege of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316004, Zhejiang, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaDepartment of Animal and Food Sciences, University of Kentucky, Lexington, Kentucky 40546, USATo swiftly and noninvasively assess the freshness of bighead carp heads within simulated cold chain environments, an excitation-emission matrix fluorescence spectroscopy coupled with a long short-term memory network (EEM-LSTM) model was developed. Through the parallel factor algorithm based on analysis of residuals, diagnosis of core consistency, and split-half evaluation, three key fluorescent components from fish fillets were extracted, with the most significant components linked to tryptophan and NADH, both indicative of fish freshness. The EEM-LSTM model exhibited coherent trends in freshness indicators and demonstrated exceptional predictive capabilities for four freshness indicators simultaneously, achieving R2 values exceeding 0.8840 in simulated cold chain situations. Relative errors in the supermarket direct sales cold chain were less than 10%, surpassing those of the long-distance transport cold chain. Hence, the EEM-LSTM model stands validated for predicting fish freshness in simulated cold chains, holding promise for real-world aquatic product freshness forecasting within cold chain scenarios.https://www.maxapress.com/article/doi/10.48130/fia-0024-0037excitation-emission matrix fluorescence spectroscopysimulation of cold chainsfreshness predictionlong short-term memory networkparallel factor algorithmbighead carp heads |
| spellingShingle | Juan You Zhenqian Sun Xiaoting Li Xiaoguo Ying Ce Shi Hongbing Fan Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains Food Innovation and Advances excitation-emission matrix fluorescence spectroscopy simulation of cold chains freshness prediction long short-term memory network parallel factor algorithm bighead carp heads |
| title | Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains |
| title_full | Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains |
| title_fullStr | Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains |
| title_full_unstemmed | Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains |
| title_short | Noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short-term memory network: simulation of cold chains |
| title_sort | noninvasive freshness evaluation of bighead carp heads based on fluorescence spectroscopy coupled with long short term memory network simulation of cold chains |
| topic | excitation-emission matrix fluorescence spectroscopy simulation of cold chains freshness prediction long short-term memory network parallel factor algorithm bighead carp heads |
| url | https://www.maxapress.com/article/doi/10.48130/fia-0024-0037 |
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