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      Correlation between physicochemical properties and volatile compound profiles in tilapia muscles subjected to four different thermal processing techniques

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          Highlights

          • Tilapia muscles were treated with four types of thermal processing methods.

          • Texture was related with water state, water content, microstructure, and mass loss.

          • Thermal processing had similar odor fingerprint effects to the mass or water loss.

          • Thermal processed muscles had different relatively important volatile compounds.

          Abstract

          This work studied the physicochemical properties and odor profiles of tilapia muscles after exposure to four types of thermal processing methods: microwaving, roasting, boiling, or steaming. The effect of thermal processing on textural properties followed a pH–water state–water content–tissue microstructure–mass loss–textural properties route, expressed in the following manner: microwaving > roasting > steaming ≈ boiling. After processing, muscle pH increased from 6.59 ± 0.10 to 6.73 ± 0.04–7.01 ± 0.06, and hardness changed from 1468.49 ± 180.77 g to 452.76 ± 46.94–10723.66 ± 2898.46 g. Gas chromatography-based E-nose analysis confirmed that these methods had significant odor fingerprint effects on the tilapia muscles. Finally, the combined analysis of headspace solid-phase microextraction–gas chromatography–mass spectrometry, statistical MetaboAnalyst, and odor activity value showed that the microwaved, roasted, steamed, and boiled tilapia muscles had, respectively, three (hexanal, nonanal, and decanal), four (2-methyl-butanal, 3-methyl-butanal, decanal, and trimethylamine), one (2-methyl-butanal), and one (decanal) relatively important volatile compounds.

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          Most cited references40

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          Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis

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            Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data

            Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) has become a workhorse in global metabolomics studies with growing applications across biomedical and environmental sciences. However, outstanding bioinformatics challenges in terms of data processing, statistical analysis and functional interpretation remain critical barriers to the wider adoption of this technology. To help the user community overcome these barriers, we have made major updates to the well-established MetaboAnalyst platform ( www.metaboanalyst.ca ). This protocol extends the previous 2011 Nature Protocol by providing stepwise instructions on how to use MetaboAnalyst 5.0 to: optimize parameters for LC-HRMS spectra processing; obtain functional insights from peak list data; integrate metabolomics data with transcriptomics data or combine multiple metabolomics datasets; conduct exploratory statistical analysis with complex metadata. Parameter optimization may take ~2 h to complete depending on the server load, and the remaining three stages may be executed in ~60 min.
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              Myoglobin Chemistry and Meat Color

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                Author and article information

                Contributors
                Journal
                Food Chem X
                Food Chem X
                Food Chemistry: X
                Elsevier
                2590-1575
                12 June 2023
                30 June 2023
                12 June 2023
                : 18
                : 100748
                Affiliations
                [a ]Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
                [b ]National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Integrated Scientific Research Base on Comprehensive Utilization Technology for By-Products of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
                Author notes
                [* ]Corresponding author at: Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China. jzhong@ 123456shsmu.edu.cn
                Article
                S2590-1575(23)00191-8 100748
                10.1016/j.fochx.2023.100748
                10285089
                62b2f5ae-c8ba-4bf7-8788-8e168cfa8139
                © 2023 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 January 2023
                : 27 May 2023
                : 7 June 2023
                Categories
                Article

                gas chromatography-based electronic nose,headspace solid-phase microextraction–gas chromatography–mass spectrometry,texture,thermal processing,tilapia muscle

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