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Wang H, Du Z, Li Y, Zeng F, Qiu X, Li G, Li C. Non-destructive prediction of TVB-N using color-texture features of UV-induced fluorescence image for freeze-thaw treated frozen-whole-round tilapia. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:2574-2586. [PMID: 37851503 DOI: 10.1002/jsfa.13055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/26/2023] [Accepted: 10/18/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND The investigation of UV-induced fluorescence imaging coupled with machine learning was conducted to non-destructively detect the total volatile basic nitrogen (TVB-N) of frozen-whole-round tilapia (FWRT) during freezing and thawing. The UV-induced fluorescence images of FWRT at the wavelength of 365 nm were acquired by self-developed fluorescence image acquisition system. In total, 169 color and texture features based on RGB, hue-saturation-intensity and L*a*b* color spaces and gray level co-occurrence matrix were extracted, respectively. Successive projections algorithm (SPA) was employed to select the optimal 16 features to achieve feature dimension reduction modeling. With full and extracted features as input, the models of partial least squares regression (PLSR), least-squares support vector machine (LSSVM) and convolutional neural network (CNN) were established for TVB-N prediction. RESULTS Results indicated that the full features-based CNN performed better than SPA based prediction models (SPA-PLSR and SPA-LSSVM). The CNN model was determined to be the optimal with an RP2 value of 0.9779, RMSEP value of 1.1502 × 10-2 g N kg-1 and RPD value of 6.721 for TVB-N content predictiin. CONCLUSION The CNN method based on UV fluorescence imaging technology has potential for quality and safety detection of FWRT. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Huihui Wang
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
| | - Zhonglin Du
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
| | - Yule Li
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
| | - Fanyi Zeng
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
| | - Xinjing Qiu
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
| | - Gaobin Li
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
| | - Chunpeng Li
- School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian, China
- National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, China
- Engineering Research Center of Seafood of Ministry of Education of China, Dalian, China
- Collaborative Innovation Center of Seafood Deep Processing, Dalian, China
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Gaurav K, Mehta NK, Majumdar RK, Priyadarshini MB, Pal P, Xavier KAM, Sharma S. Carboxy Methyl Cellulose, Xanthan Gum, and Carrageenan Coatings Reduced Fat Uptake, Protein Oxidation, and Improved Functionality in Deep-Fried Fish Strips: An Application of the Multiobjective Optimization (MOO) Approach. ACS OMEGA 2023; 8:32855-32866. [PMID: 37720773 PMCID: PMC10500647 DOI: 10.1021/acsomega.3c04072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/14/2023] [Indexed: 09/19/2023]
Abstract
In this study, a multiobjective optimization (MOO) approach was utilized for effective decision-making when several variables were changing simultaneously during frying. Carboxy methyl cellulose (CMC), xanthan gum, and carrageenan coatings in different concentrations (0.25-1.50%, w/v) were applied on fish strips to reduce the oil uptake and protein oxidation during frying. The pickup of the strips increased significantly (p < 0.05) with increasing concentration. The CMC was effective in oil uptake reduction and protein oxidation, as revealed by the lower carbonyl and sulfhydryl contents in the fried strip. The hardness and chewiness of the coated fish strips were found to be declined significantly (p < 0.05) with increasing coating concentrations. The moisture, lipid, toughness, hardness, cutting force, oiliness, sulfhydryl content (all min), oil uptake reduction, and carbonyl content (both max) were considered as multiple criteria for the MOO technique, and fried strips coated with 1% CMC, followed by 0.75% xanthan gum and 0.75% carrageenan, emerged as the best optimal coating.
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Affiliation(s)
- Kumar Gaurav
- Department
of Fish Processing Technology and Engineering, College of Fisheries, Central Agricultural University”, Lembucherra, 799210 Tripura, India
| | - Naresh Kumar Mehta
- Department
of Fish Processing Technology and Engineering, College of Fisheries, Central Agricultural University”, Lembucherra, 799210 Tripura, India
| | - Ranendra Kumar Majumdar
- Department
of Fish Processing Technology and Engineering, College of Fisheries, Central Agricultural University”, Lembucherra, 799210 Tripura, India
| | - M. Bhargavi Priyadarshini
- Department
of Fish Processing Technology and Engineering, College of Fisheries, Central Agricultural University”, Lembucherra, 799210 Tripura, India
| | - Prasenjit Pal
- Department
of Extension and Social Sciences, College of Fisheries, Central Agricultural University, Lembucherra, 799210 Tripura, India
| | - K. A. Martin Xavier
- Department
of Post Harvest Technology, ICAR- Central
Institute of Fisheries Education”, Mumbai 400061, India
| | - Sanjeev Sharma
- Department
of Fish Processing Technology and Engineering, College of Fisheries, Central Agricultural University”, Lembucherra, 799210 Tripura, India
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Zhang Y, Liu G, Xie Q, Wang Y, Yu J, Ma X. Physicochemical and structural changes of myofibrillar proteins in muscle foods during thawing: Occurrence, consequences, evidence, and implications. Compr Rev Food Sci Food Saf 2023; 22:3444-3477. [PMID: 37306543 DOI: 10.1111/1541-4337.13194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 06/13/2023]
Abstract
Myofibrillar protein (MP) endows muscle foods with texture and important functional properties, such as water-holding capacity (WHC) and emulsifying and gel-forming abilities. However, thawing deteriorates the physicochemical and structural properties of MPs, significantly affecting the WHC, texture, flavor, and nutritional value of muscle foods. Thawing-induced physicochemical and structural changes in MPs need further investigation and consideration in the scientific development of muscle foods. In this study, we reviewed the literature for the thawing effects on the physicochemical and structural characters of MPs to identify potential associations between MPs and the quality of muscle-based foods. Physicochemical and structural changes of MPs in muscle foods occur because of physical changes during thawing and microenvironmental changes, including heat transfer and phase transformation, moisture activation and migration, microbial activation, and alterations in pH and ionic strength. These changes are not only essential inducements for changes in spatial conformation, surface hydrophobicity, solubility, Ca2+ -ATPase activity, intermolecular interaction, gel properties, and emulsifying properties of MPs but also factors causing MP oxidation, characterized by thiols, carbonyl compounds, free amino groups, dityrosine content, cross-linking, and MP aggregates. Additionally, the WHC, texture, flavor, and nutritional value of muscle foods are closely related to MPs. This review encourages additional work to explore the potential of tempering techniques, as well as the synergistic effects of traditional and innovative thawing technologies, in reducing the oxidation and denaturation of MPs and maintaining the quality of muscle foods.
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Affiliation(s)
- Yuanlv Zhang
- College of Food Science and Engineering, Ningxia University, Yinchuan, Ningxia, China
| | - Guishan Liu
- College of Food Science and Engineering, Ningxia University, Yinchuan, Ningxia, China
| | - Qiwen Xie
- College of Food Science and Engineering, Ningxia University, Yinchuan, Ningxia, China
| | - Yanyao Wang
- College of Food Science and Engineering, Ningxia University, Yinchuan, Ningxia, China
| | - Jia Yu
- College of Food Science and Engineering, Ningxia University, Yinchuan, Ningxia, China
| | - Xiaoju Ma
- College of Food Science and Engineering, Ningxia University, Yinchuan, Ningxia, China
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Zhang Y, Kim Y, Puolanne E, Ertbjerg P. Role of freezing-induced myofibrillar protein denaturation in the generation of thaw loss: A review. Meat Sci 2022; 190:108841. [DOI: 10.1016/j.meatsci.2022.108841] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 03/13/2022] [Accepted: 05/01/2022] [Indexed: 01/08/2023]
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Li JY, Feng YH, He YT, Hu LF, Liang L, Zhao ZQ, Chen BZ, Guo XD. Thermosensitive hydrogel microneedles for controlled transdermal drug delivery. Acta Biomater 2022; 153:308-319. [DOI: 10.1016/j.actbio.2022.08.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/05/2022] [Accepted: 08/25/2022] [Indexed: 11/01/2022]
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Yang K, Bian C, Ma X, Mei J, Xie J. Recent Advances in Emerging Techniques for Freezing and Thawing on Aquatic Products Quality. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.16609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Kun Yang
- College of Food Science and Technology Shanghai Ocean University Shanghai China
| | - Chuhan Bian
- College of Food Science and Technology Shanghai Ocean University Shanghai China
| | - Xuan Ma
- College of Food Science and Technology Shanghai Ocean University Shanghai China
| | - Jun Mei
- College of Food Science and Technology Shanghai Ocean University Shanghai China
- National Experimental Teaching Demonstration Center for Food Science and Engineering Shanghai Ocean University Shanghai China
- Shanghai Engineering Research Center of Aquatic Product Processing and Preservation Shanghai China
- Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation Shanghai China
| | - Jing Xie
- College of Food Science and Technology Shanghai Ocean University Shanghai China
- National Experimental Teaching Demonstration Center for Food Science and Engineering Shanghai Ocean University Shanghai China
- Shanghai Engineering Research Center of Aquatic Product Processing and Preservation Shanghai China
- Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation Shanghai China
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