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Cui F, Zheng S, Wang D, Ren L, Meng Y, Ma R, Wang S, Li X, Li T, Li J. Development of machine learning-based shelf-life prediction models for multiple marine fish species and construction of a real-time prediction platform. Food Chem 2024; 450:139230. [PMID: 38626713 DOI: 10.1016/j.foodchem.2024.139230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/23/2024] [Accepted: 04/01/2024] [Indexed: 04/18/2024]
Abstract
At least 10 million tons of seafood products are spoiled or damaged during transportation or storage every year worldwide. Monitoring the freshness of seafood in real time has become especially important. In this study, four machine learning algorithms were used for the first time to develop a multi-objective model that can simultaneously predict the shelf-life of five marine fish species at multiple storage temperatures using 14 features such as species, temperature, total viable count, K-value, total volatile basic‑nitrogen, sensory and E-nose-GC-Ms/Ms. as inputs. Among them, the radial basis function model performed the best, and the absolute errors of all test samples were <0.5. With the optimal model as the base layer, a real-time prediction platform was developed to meet the needs of practical applications. This study successfully realized multi-objective real-time prediction with accurate prediction results, providing scientific basis and technical support for food safety and quality.
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Affiliation(s)
- Fangchao Cui
- College of Food Science and Technology, Bohai University; National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, China Light Industry Key Laboratory of Marine Fish Processing, Jinzhou, Liaoning, 121013, China
| | - Shiwei Zheng
- College of Food Science and Technology, Bohai University; National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, China Light Industry Key Laboratory of Marine Fish Processing, Jinzhou, Liaoning, 121013, China
| | - Dangfeng Wang
- College of Food Science and Technology, Bohai University; National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, China Light Industry Key Laboratory of Marine Fish Processing, Jinzhou, Liaoning, 121013, China; College of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Likun Ren
- College of Food Science and Technology, Bohai University; National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, China Light Industry Key Laboratory of Marine Fish Processing, Jinzhou, Liaoning, 121013, China
| | - Yuqiong Meng
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Rui Ma
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Shulin Wang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai 810016, China
| | - Xuepeng Li
- College of Food Science and Technology, Bohai University; National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, China Light Industry Key Laboratory of Marine Fish Processing, Jinzhou, Liaoning, 121013, China.
| | - Tingting Li
- Key Laboratory of Biotechnology and Bioresources Utilization (Dalian Minzu University), Ministry of Education, Dalian, Liaoning, 116029, China.
| | - Jianrong Li
- College of Food Science and Technology, Bohai University; National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, China Light Industry Key Laboratory of Marine Fish Processing, Jinzhou, Liaoning, 121013, China.
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Yang X, Lan W, Sun X. Effect of chlorogenic acid grafted chitosan on microbiological compositions of sea bass (Lateolabrax japonicus) fillets: Dominant spoilage bacteria, inhibition activity and membrane damage mechanisms. Int J Food Microbiol 2024; 411:110540. [PMID: 38118358 DOI: 10.1016/j.ijfoodmicro.2023.110540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 12/07/2023] [Accepted: 12/15/2023] [Indexed: 12/22/2023]
Abstract
This study investigated the effect of chlorogenic acid grafted chitosan (CS-g-CA) on the microbiota composition of sea bass (Lateolabrax japonicus), isolated and identified the specific spoilage organisms (SSOs) in the late stage of refrigerated fillets and evaluation of their spoilage potential. Moreover, antibacterial activity and membrane damage mechanism of CS-g-CA against spoilage bacteria was also investigated. Illumina-MiSeq high throughput sequencing results showed that CS-g-CA retarded the growth of Pseudomonas spp., which largely contributed to delaying the quality degradation of sea bass during storage. Then nine spoilage bacteria were isolated and identified from the fillets at the end of storage and inoculated into sterile fish fillets to determine their spoilage capacity. Results showed that fish fillets inoculated with spoilage bacteria exhibited a significant increase in TVB-N, TBA and putrescine content and decreased sensory quality during storage. Subsequently, the inhibitory activity of CS-g-CA against spoilage bacteria was investigated and strains that were more sensitive to the CS-g-CA with a strong spoilage capacity were selected for the study of the inhibition mechanism. Results suggested that CS-g-CA had strong inhibitory activity and led to bacterial death through the mechanism of membrane damage. Overall, this study analyzed the effect of CS-g-CA on the preservation of fish fillets from a microbiological point of view to provide a reference for the anti-bacterial preservation of aquatic products.
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Affiliation(s)
- Xin Yang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Weiqing Lan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China; Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, Shanghai, China; National Experimental Teaching Demonstration Center for Food Science and Engineering, Shanghai Ocean University, Shanghai, China.
| | - Xiaohong Sun
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China; Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, Shanghai, China; National Experimental Teaching Demonstration Center for Food Science and Engineering, Shanghai Ocean University, Shanghai, China.
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Baki MA, Hossain MM, Akter J, Quraishi SB, Haque Shojib MF, Atique Ullah AKM, Khan MF. Concentration of heavy metals in seafood (fishes, shrimp, lobster and crabs) and human health assessment in Saint Martin Island, Bangladesh. Ecotoxicol Environ Saf 2018; 159:153-163. [PMID: 29747150 DOI: 10.1016/j.ecoenv.2018.04.035] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 04/13/2018] [Accepted: 04/18/2018] [Indexed: 05/24/2023]
Abstract
A contaminated aquatic environment may end up in the food chain and pose risks to tourist health in a tourist destination. To assess the health risk for tourists that visit St. Martine Island, which is a popular domestic and foreign tourist destination in Bangladesh, a study is undertaken to analyse the level of heavy metal contamination from chromium (Cr), manganese (Mn), copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd), lead (Pb), mercury (Hg) and iron (Fe) in six of the most consumed fish (L. fasciatus, R. kanagurta, H. nigrescens, P. cuneatus, P. annularis and S. rubrum) and five crustacean species, which consist of a shrimp (P. sculptilis), a lobster (P. versicolor) and three crabs (P. sanguinolentus, T. crenata and M. victor) captured. The samples were analysed for trace metals using atomic absorption spectrometer, and the concentrations of the metals were interpreted using the United State Environmental Protection Agency (USEPA) health risk model. The muscle and carapace/exoskeleton of shrimp, lobster and crabs were analysed and contained various concentrations of Pb, Hg, As, Cr, Cd, Fe, Cu, Zn and Mn. The hierarchy of the heavy metal in marine fish is Fe > Cd > Zn > Pb > Cu > Cr > Mn > Hg. The concentrations of Pb in the species R. kanagurta, H. nigresceus and S. rubrum were above the food safety guideline by Australia, New Zealand and other legislations in most marine fish and crustaceans. Crabs showed higher mean heavy metal concentrations than shrimp and lobster. Acceptable carcinogen ranges were observed in three fish species (R. kanagurata, H. nigresceus and S. rubrum) and one crustacean species (P. sculptilis) samples.
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Affiliation(s)
- Mohammad Abdul Baki
- Faculty of Life and Earth Science, Department of Zoology, Jagannath University, Dhaka 1100, Bangladesh.
| | - Md Muzammel Hossain
- Faculty of Life and Earth Science, Department of Zoology, Jagannath University, Dhaka 1100, Bangladesh
| | - Jhuma Akter
- Faculty of Life and Earth Science, Department of Zoology, Jagannath University, Dhaka 1100, Bangladesh
| | - Shamshad B Quraishi
- Analytical Chemistry Laboratory, Atomic Energy Centre Dhaka, Bangladesh Atomic Energy Commission, Bangladesh
| | - Md Fajlul Haque Shojib
- Faculty of Life and Earth Science, Department of Zoology, Jagannath University, Dhaka 1100, Bangladesh
| | - A K M Atique Ullah
- Analytical Chemistry Laboratory, Atomic Energy Centre Dhaka, Bangladesh Atomic Energy Commission, Bangladesh
| | - Md Firoz Khan
- Centre for Tropical Climate Change System, Institute of Climate Change, University Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
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