Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm

Using Antarctic krill ( Euphausia superba ) as the research object, we optimized the process conditions for Antarctic krill sauce (AkS) by including three factors (salt addition, rock sugar addition, and the oil-to-material ratio) and sensory evaluation as response values. The data from the response...

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Published in:Applied Sciences
Main Authors: Hai Chi, Zhiyu Fu, Peng Wang, Di Yu, Lukai Zhao, Long Li, Yujun Liu, Jie Zheng
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2024
Subjects:
T
Aks
Online Access:https://doi.org/10.3390/app14167337
https://doaj.org/article/6378263b950441a297dfce470611719a
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spelling ftdoajarticles:oai:doaj.org/article:6378263b950441a297dfce470611719a 2024-09-30T14:26:54+00:00 Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm Hai Chi Zhiyu Fu Peng Wang Di Yu Lukai Zhao Long Li Yujun Liu Jie Zheng 2024-08-01T00:00:00Z https://doi.org/10.3390/app14167337 https://doaj.org/article/6378263b950441a297dfce470611719a EN eng MDPI AG https://www.mdpi.com/2076-3417/14/16/7337 https://doaj.org/toc/2076-3417 doi:10.3390/app14167337 2076-3417 https://doaj.org/article/6378263b950441a297dfce470611719a Applied Sciences, Vol 14, Iss 16, p 7337 (2024) Antarctic krill sauce optimized processing BP neural network genetic algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 article 2024 ftdoajarticles https://doi.org/10.3390/app14167337 2024-09-02T15:34:38Z Using Antarctic krill ( Euphausia superba ) as the research object, we optimized the process conditions for Antarctic krill sauce (AkS) by including three factors (salt addition, rock sugar addition, and the oil-to-material ratio) and sensory evaluation as response values. The data from the response surface were fed into the back propagation (BP) neural network training, generating a model mapping the process conditions and sensory scores, which were subsequently combined with the genetic algorithm (GA) for global optimization to determine the optimal process for AkS preparation. The results revealed that the response surface model was well suited to the BP neural network training and prediction sets, with correlation values of 0.98 and 0.95, respectively. The fitting prediction effect was obvious for the sensory scoring results of the product. The parameters obtained from the GA’s global optimization search accord with the analytical results of the response surface. The findings demonstrated that combining a BP neural network with a GA can enhance the AkS preparation technique. Under optimal processing conditions, AkS has a high sensory score and protein and carbohydrate contents, moderate fat content, minimal fat oxidation, and non-detectable pathogens, indicating that the AkS in this study was nutritious and safe to consume. Article in Journal/Newspaper Antarc* Antarctic Antarctic Krill Euphausia superba Directory of Open Access Journals: DOAJ Articles Aks ENVELOPE(9.657,9.657,63.721,63.721) Antarctic Applied Sciences 14 16 7337
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Antarctic krill sauce
optimized processing
BP neural network
genetic algorithm
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle Antarctic krill sauce
optimized processing
BP neural network
genetic algorithm
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Hai Chi
Zhiyu Fu
Peng Wang
Di Yu
Lukai Zhao
Long Li
Yujun Liu
Jie Zheng
Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm
topic_facet Antarctic krill sauce
optimized processing
BP neural network
genetic algorithm
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
description Using Antarctic krill ( Euphausia superba ) as the research object, we optimized the process conditions for Antarctic krill sauce (AkS) by including three factors (salt addition, rock sugar addition, and the oil-to-material ratio) and sensory evaluation as response values. The data from the response surface were fed into the back propagation (BP) neural network training, generating a model mapping the process conditions and sensory scores, which were subsequently combined with the genetic algorithm (GA) for global optimization to determine the optimal process for AkS preparation. The results revealed that the response surface model was well suited to the BP neural network training and prediction sets, with correlation values of 0.98 and 0.95, respectively. The fitting prediction effect was obvious for the sensory scoring results of the product. The parameters obtained from the GA’s global optimization search accord with the analytical results of the response surface. The findings demonstrated that combining a BP neural network with a GA can enhance the AkS preparation technique. Under optimal processing conditions, AkS has a high sensory score and protein and carbohydrate contents, moderate fat content, minimal fat oxidation, and non-detectable pathogens, indicating that the AkS in this study was nutritious and safe to consume.
format Article in Journal/Newspaper
author Hai Chi
Zhiyu Fu
Peng Wang
Di Yu
Lukai Zhao
Long Li
Yujun Liu
Jie Zheng
author_facet Hai Chi
Zhiyu Fu
Peng Wang
Di Yu
Lukai Zhao
Long Li
Yujun Liu
Jie Zheng
author_sort Hai Chi
title Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm
title_short Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm
title_full Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm
title_fullStr Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm
title_full_unstemmed Process Optimization for Antarctic Krill ( Euphausia superba ) Sauce Based on Back Propagation Neural Network Combined with Genetic Algorithm
title_sort process optimization for antarctic krill ( euphausia superba ) sauce based on back propagation neural network combined with genetic algorithm
publisher MDPI AG
publishDate 2024
url https://doi.org/10.3390/app14167337
https://doaj.org/article/6378263b950441a297dfce470611719a
long_lat ENVELOPE(9.657,9.657,63.721,63.721)
geographic Aks
Antarctic
geographic_facet Aks
Antarctic
genre Antarc*
Antarctic
Antarctic Krill
Euphausia superba
genre_facet Antarc*
Antarctic
Antarctic Krill
Euphausia superba
op_source Applied Sciences, Vol 14, Iss 16, p 7337 (2024)
op_relation https://www.mdpi.com/2076-3417/14/16/7337
https://doaj.org/toc/2076-3417
doi:10.3390/app14167337
2076-3417
https://doaj.org/article/6378263b950441a297dfce470611719a
op_doi https://doi.org/10.3390/app14167337
container_title Applied Sciences
container_volume 14
container_issue 16
container_start_page 7337
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