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Zhang ZC, Wang J, Dong M, Cui S, Huang XH, Qin L. Integration of untargeted lipidomics and targeted metabolomics revealed the mechanism of flavor formation in lightly cured sea bass driven via salt. Food Chem 2025; 470:142675. [PMID: 39756082 DOI: 10.1016/j.foodchem.2024.142675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 11/13/2024] [Accepted: 12/24/2024] [Indexed: 01/07/2025]
Abstract
Salt enhances flavor and salinity in Chinese curing; however, excessive use can pose health risks, while reducing NaCl may harm taste. This study utilized targeted and untargeted metabolomics to investigate the intrinsic molecular mechanisms that drive flavor formation in cured sea bass subjected to salt. Glycine, succinic acid, lactic acid and uridine significantly contributed to the taste profile of the cured sea bass. A total of 668 lipid molecules were annotated in the samples, of which 60 were classified as differential lipids. Non-targeted lipidomic analysis identified phosphatidylcholine and phosphatidylethanolamine as the major flavor precursors, constituting 40.12 % of the total. Elevated salt concentrations significantly enhanced the production and accumulation of key differential volatile flavor components, including 1-octen-3-ol, 2-undecanone and 2-pentylfuran. Thus, salt facilitated the degradation and oxidation of lipids, leading to the formation of key flavor compounds that contribute to the enhancement of the flavor profile of cured sea bass.
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Affiliation(s)
- Zi-Chun Zhang
- School of Food Science and Technology, State Key Laboratory of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China
| | - Ji Wang
- School of Food Science and Technology, State Key Laboratory of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China
| | - Meng Dong
- School of Food Science and Technology, State Key Laboratory of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China
| | - Shuang Cui
- School of Food Science and Technology, State Key Laboratory of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China
| | - Xu-Hui Huang
- School of Food Science and Technology, State Key Laboratory of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China.
| | - Lei Qin
- School of Food Science and Technology, State Key Laboratory of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China.
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2
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Chen X, Li C, Zhao J, Wang Y, Xu Y, Xu B. Influence of phospholipid structures on volatile organic compounds generation in model systems. Food Res Int 2024; 196:115009. [PMID: 39614535 DOI: 10.1016/j.foodres.2024.115009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/22/2024] [Accepted: 08/29/2024] [Indexed: 12/01/2024]
Abstract
To investigate the regularities and differences in oxidation products of phosphatidylcholine (PC) and phosphatidylethanolamine (PE) by gas chromatography-mass spectrometry (GC-MS), and examine the influence of variations in fatty acid compositions and head groups on the kinds and contents of volatile organic compounds (VOCs) generated. A total of 42 VOCs were identified from PE (16:0-18:2), PC (16:0-18:2), and PC (16:0-18:1), with aldehydes and ketones being the main VOCs in three phospholipids (PLs). The content of most VOCs produced by PE (16:0-18:2), PC (16:0-18:2), and PC (16:0-18:1) increases with the increase of oxidation temperature and time. Reached peak at 175 °C for 60 min. The total VOCs contents generated by PE (16:0-18:2) and PC (16:0-18:2) were higher than those produced by PC (16:0-18:1), with PC (16:0-18:2) showing the highest total VOCs contents. PLs exhibited three mass loss processes with increasing temperature, namely stability, reduction, and stabilization. PC (16:0-18:2) experienced the highest mass loss, followed by PE (16:0-18:2), while PC (16:0-18:1) showed the least mass loss. These findings showed that polyunsaturated fatty acids were more susceptible to oxidation and degradation during oxidation, and the presence of choline groups in the form of PE may enhance the oxidative stability of fatty acyl groups compared to PC.
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Affiliation(s)
- Xueli Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Cong Li
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Jinsong Zhao
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Yubo Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Yujuan Xu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Baocai Xu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China; Engineering Research Center of Bio-Process of Ministry of Education, School of Food & Biological Engineering, Hefei University of Technology, Hefei 230601, Anhui Province, China.
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3
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Jin W, Zhao S, Li J, Cheng K, Xi L, Pei J, Gao R, Jiang P. Unraveling gender-specific lipids and flavor volatiles in giant salamander ( Andrias davidianus) livers via lipidomics and GC-IMS. Food Chem X 2024; 23:101786. [PMID: 39286042 PMCID: PMC11403451 DOI: 10.1016/j.fochx.2024.101786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 08/16/2024] [Accepted: 08/26/2024] [Indexed: 09/19/2024] Open
Abstract
To uncover the relationships between lipid components and flavor volatiles, distinctness in lipid components and odor substances in giant salamander livers of different genders were comparatively characterized through UPLC-Q Exactive-MS lipidomics and gas chromatography-ion migration spectrometry (GC-IMS). A total of 2171 and 974 lipid metabolites were detected in positive and negative ion modes, respectively. Triglycerides (TG) and phosphatidylcholines (PC) are the most abundant types of lipids. TG level in male livers was higher than that in female livers (P < 0.05), whereas PC level showed no marked variation (P > 0.05). Additionally, a total of 51 volatile components were detected through GC-IMS. Ketones (42.18 % ∼ 45.44 %) and alcohols (24.19 % ∼ 26.50 %) were the predominant categories, and their relative contents were higher in female livers. Finally, 30 differential lipid metabolites and 12 differential odor substances were screened and could be used as distinguishing labels in giant salamander livers of different genders. Correlation analysis indicated that PS(36:2e), TG(48:13), ZyE(37:6), and ZyE(33:6) correlated positively with 3-methyl butanal, 3-hydroxy-2-butanone, and 2-methyl-1-propanol (P < 0.05), but adversely linked with 1-penten-3-one, and 1-octen-3-one (P < 0.01). By three-fold cross-validation, prediction accuracies of these differential lipids and volatile compounds for gender recognition based on random forest model were 100 % and 92 %, respectively. These findings might not only add knowledge on lipid and volatile profiles in giant salamander livers as affected by genders, but also provide clues for their gender recognition.
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Affiliation(s)
- Wengang Jin
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
- Key Laboratory of Bio-Resources of Shaanxi Province, School of Bioscience and Engineering, Shaanxi, University of Technology, Hanzhong, 723001, China
| | - Shibo Zhao
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
| | - Jiayao Li
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
| | - Kaiqi Cheng
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
| | - Linjie Xi
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
| | - Jinjin Pei
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
| | - Ruichang Gao
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China
- College of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Pengfei Jiang
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
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Zhao G, Zhang Y, Zhang J, Wang S, Wang K, Xu L, Zhang Q, Zhu C. Investigating the impact of lipid oxidation on the duck odorous smell during storage and reheating based on lipidomics. Curr Res Food Sci 2024; 9:100884. [PMID: 39498459 PMCID: PMC11533012 DOI: 10.1016/j.crfs.2024.100884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 09/27/2024] [Accepted: 10/11/2024] [Indexed: 11/07/2024] Open
Abstract
In the actual production of duck meat, the cooking time for marinated and sliced duck products is around 30 min. Before consumption, it is recommended to use a water bath for reheating at 75 °C for 10 min. However, many consumers reflect that after reheating, there will be an unpleasant smell, affecting the quality of food. Therefore, to investigate the effects of lipid oxidation on the duck odorous smell during heat treatment and reheating, lipid oxidation, sensory evaluation and lipidomics were performed on raw duck meat, 90 °C processed, and reheated cooked duck meat stored at 4 ± 1 °C for 3 and 7 days, respectively. The results showed that the duck odorous smell increased after heat treatment and reheating. A total of 26 lipid subclasses and 519 lipid molecules were identified in duck meat based on lipidomics. Phosphatidylcholine (PC) and phosphatidylethanolamine (PE) in duck meat phospholipids played an important role in the production of duck odorous smell. These findings may contribute in reducing duck odorous smell by targeted inhibition of lipid oxidation.
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Affiliation(s)
- Gaiming Zhao
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Ying Zhang
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Jiali Zhang
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Sen Wang
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Ke Wang
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Long Xu
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Qiuhui Zhang
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Chaozhi Zhu
- Henan Key Lab of Meat Processing and Quality Safety Control, Henan Agricultural University, Zhengzhou, 450002, PR China
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, PR China
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Zhao S, Yu J, Xi L, Kong X, Pei J, Jiang P, Gao R, Jin W. Sex-Specific Lipid Profiles and Flavor Volatiles in Giant Salamander ( Andrias davidianus) Tails Revealed by Lipidomics and GC-IMS. Foods 2024; 13:3048. [PMID: 39410083 PMCID: PMC11476126 DOI: 10.3390/foods13193048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 09/11/2024] [Accepted: 09/24/2024] [Indexed: 10/20/2024] Open
Abstract
To elucidate the relationships between lipid components and odor traits, this study comparatively characterized the distinct lipid compositions and flavor volatiles in giant salamander tails of different sexes via mass-spectrometry-based lipidomics and GC-IMS. A total of 3145 fat metabolites were detected in male and female giant salamander tails, with the largest contributors being triglycerides (TGs, 840) and phosphatidylcholines (PCs, 383). Notably, the contents of PCs and TGs were greater in female tails than in male tails, and the levels of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) were also greater in the female group. Additionally, a total of 45 volatile components were detected, namely, 14 aldehydes, 14 alcohols, 9 ketones, 3 acids, 3 esters, 1 ether, and 1 amine. Alcohols (29.96% to 34.85%) and aldehydes (21.07% to 22.75%) were the predominant volatiles. Multivariate statistical analysis revealed 22 key differential fats and 26 differential odor substances as distinguishing labels between sexes. Correlation analysis revealed that the concentrations of triethylamine, dimethyl sulfide, ethanol-D, and 3-methyl butanal-D were significantly positively correlated with the concentrations of diglyceride (DG) (26:6e), cardiolipin (CL) (59:4), acylcarnitine (AcCa) (22:4), and triglyceride (TG) (52:10) (p < 0.01). Threefold cross-validation revealed that the prediction accuracies of these differential lipids and volatile compounds for sex recognition via the random forest model were 100%. These findings might not only provide insight into the effects of sexes on the lipid and volatile profiles of giant salamander tails but also provide clues for their gender recognition.
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Affiliation(s)
- Shibo Zhao
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China; (S.Z.); (J.Y.); (L.X.); (X.K.); (J.P.)
- Key Laboratory of Bio-Resources of Shaanxi Province, School of Bioscience and Engineering, Shaanxi University of Technology, Hanzhong 723001, China
| | - Jinghong Yu
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China; (S.Z.); (J.Y.); (L.X.); (X.K.); (J.P.)
| | - Linjie Xi
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China; (S.Z.); (J.Y.); (L.X.); (X.K.); (J.P.)
- Key Laboratory of Bio-Resources of Shaanxi Province, School of Bioscience and Engineering, Shaanxi University of Technology, Hanzhong 723001, China
| | - Xiangdong Kong
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China; (S.Z.); (J.Y.); (L.X.); (X.K.); (J.P.)
| | - Jinjin Pei
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China; (S.Z.); (J.Y.); (L.X.); (X.K.); (J.P.)
- Key Laboratory of Bio-Resources of Shaanxi Province, School of Bioscience and Engineering, Shaanxi University of Technology, Hanzhong 723001, China
| | - Pengfei Jiang
- SKL of Marine Food Processing and Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China;
| | - Ruichang Gao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Wengang Jin
- Qinba State Key Laboratory of Biological Resource and Ecological Environment (Incubation), Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi University of Technology, Hanzhong 723001, China; (S.Z.); (J.Y.); (L.X.); (X.K.); (J.P.)
- Key Laboratory of Bio-Resources of Shaanxi Province, School of Bioscience and Engineering, Shaanxi University of Technology, Hanzhong 723001, China
- SKL of Marine Food Processing and Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China;
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Zhong Q, Xing Z, Teng F, Wu T, Pan S, Xu X. Evaluation of the aroma and taste contributions of star anise (I. Verum hook. f.) in braised duck leg via flavor omics combined with multivariate statistics. Food Res Int 2024; 184:114209. [PMID: 38609210 DOI: 10.1016/j.foodres.2024.114209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/27/2024] [Accepted: 03/10/2024] [Indexed: 04/14/2024]
Abstract
To promote the rationalized and standardized application of star anise in braised poultry products, the effects of different concentrations of star anise (0 %, 0.1 %, 0.2 %, 0.3 %, and 0.4 %) on the aroma and taste compounds intensities of braised duck legs from the perspective of flavor were evaluated by using flavor omics approach combined with multivariate statistics. The volatile flavor results showed that there were 17 key aroma compounds with odor activity values (OAVs) > 1, including aldehydes, alcohols, ketones, furans, hydrocarbons, and ethers. Most of the aroma compounds related to lipid oxidation were significantly inhibited when the concentration of star anise reached 0.2 %, especially inhibited the concentrations of the unpleasant off-odorants containing hexanal, heptanal, 1-octen-3-ol, and 2-pentyl-furan by 30.27 %, 15.08 %, 30.30 %, and 41.63 %, respectively. And the flavor intensities of these compounds were negatively correlated with the concentration of star anise. Additionally, star anise gave braised duck legs characteristic aroma such as floral and herbal notes. The taste results revealed that the maximum umami value (4.36 g MSG/100 g) of braised duck legs was observed when the concentration of star anise reached 0.2 %. Six flavor markers were obtained via PLS-DA model, and the flavors of braised duck legs with different concentrations of star anise were distinguished. This study provided a vital theoretical basis for the rational application and flavor control of star anise in braised poultry products.
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Affiliation(s)
- Qiang Zhong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control, Huazhong Agricultural University, Wuhan, Hubei 430070, China; National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Zheng Xing
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control, Huazhong Agricultural University, Wuhan, Hubei 430070, China; National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Fei Teng
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control, Huazhong Agricultural University, Wuhan, Hubei 430070, China; National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Ting Wu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control, Huazhong Agricultural University, Wuhan, Hubei 430070, China; National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Siyi Pan
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control, Huazhong Agricultural University, Wuhan, Hubei 430070, China; National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Xiaoyun Xu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Environment Correlative Dietology (Ministry of Education), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control, Huazhong Agricultural University, Wuhan, Hubei 430070, China; National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
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Wu H, He Z, Yang L, Li H. Generation of key aroma compounds in fat and lean portions of non-smoked bacon induced via lipid pyrolysis reaction. Food Chem 2024; 437:137684. [PMID: 37926027 DOI: 10.1016/j.foodchem.2023.137684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/18/2023] [Accepted: 10/04/2023] [Indexed: 11/07/2023]
Abstract
This study explored the evolution of key aroma compounds and their lipid precursors in the lean (LN) and fat (FT) portions of non-smoked bacon during hot air drying. The results showed that the LN portion contained most of the aroma compounds in the bacon (>88%). The volatile content of the FT portion increased as the drying time increased, whereas that of the LN portion reached a maximum within 24 h and then decreased. Based on the highest volatile contents (4889.48 ± 202.06 µg/kg) and sensory scores, 24 h was considered the optimal drying time. For key aroma compounds, hexanal and 2,3-octanedione were derived from free fatty acids and polar lipids. Notably, 1-octen-3-ol was generated only from polar lipids in the FT and LN portions. The 2-undecenal and (E, E)-2,4-decadienal were produced by the oxidation of neutral lipids in the FT portion. Dihydro-5-pentyl-2(3H)-furanone was derived from polar lipids in the LN portion. Altogether, these findings provide theoretical insights into improving the aroma of bacon by optimizing raw material selection and processing methods.
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Affiliation(s)
- Han Wu
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Zhifei He
- College of Food Science, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, China
| | - Li Yang
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Hongjun Li
- College of Food Science, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, China.
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8
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Wu H, He Z, Yang L, Li H. Exploring potential lipid precursors for aroma formation in non-smoked bacon during hot air drying via untargeted lipidomics and oxidation model. Meat Sci 2024; 213:109492. [PMID: 38493530 DOI: 10.1016/j.meatsci.2024.109492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/29/2024] [Accepted: 03/12/2024] [Indexed: 03/19/2024]
Abstract
The effect of drying on the lipid profiles of the lean (LN) and fat (FT) portions of non-smoked bacon was investigated based on a lipidomic approach. The study identified 989 lipids belonging to 26 subclasses in bacon, with triglyceride and phosphatidylethanolamine being the most abundant. Triglycerides, phosphatidylcholines, and phosphatidylethanolamines were significantly decreased, whereas diglycerides, free fatty acids, and lysophospholipids were increased after drying. TG (16:1/18:1/18:2) and TG (16:0/18:1/18:1) were the primary lipids responsible for the binding of volatiles. Based on VIP > 1 and P < 0.05, 355 and 444 differential lipids were observed in the FT and LN portions, respectively. In total, 26 lipids were screened as key precursors for the production of key aroma compounds of bacon in the FT portion, while 127 were screened in the LN portion. PE (18:0/18:2) is believed to be the primary lipid molecule precursors responsible for the development of aroma in both lean and fat portions. This research has enhanced the comprehension of the generation of key aroma compounds derived from lipid oxidation.
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Affiliation(s)
- Han Wu
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Zhifei He
- College of Food Science, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, China
| | - Li Yang
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Hongjun Li
- College of Food Science, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Chongqing 400715, China.
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Cao Z, Xu M, Qi S, Xu X, Liu W, Liu L, Bao Q, Zhang Y, Xu Q, Zhao W, Chen G. Lipidomics reveals lipid changes in the intramuscular fat of geese at different growth stages. Poult Sci 2024; 103:103172. [PMID: 37984003 PMCID: PMC10694593 DOI: 10.1016/j.psj.2023.103172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/25/2023] [Accepted: 10/06/2023] [Indexed: 11/22/2023] Open
Abstract
The quality (color, tenderness, juiciness, protein content, and fat content) of poultry meat is closely linked to age, with older birds typically exhibiting increased intramuscular fat (IMF) deposition. However, specific lipid metabolic pathways involved in IMF deposition remain unknown. To elucidate the mechanisms underlying lipid changes, we conducted a study using meat geese at 2 distinct growth stages (70 and 300 d). Our findings regarding the approximate composition of the meat revealed that as the geese aged 300 d, their meat acquired a chewier texture and displayed higher levels of IMF. Liquid chromatography-mass spectrometry (LC-MS) was employed for lipid profiling of the IMF. Using a lipid database, we identified 849 lipids in the pectoralis muscle of geese. Principal component analysis and orthogonal partial least squares discriminant analysis were used to distinguish between the 2 age groups and identify differential lipid metabolites. As expected, we observed significant changes in 107 lipids, including triglycerides, diglycerides, phosphatidylethanolamine, alkyl-glycerophosphoethanolamine, alkenyl-glycerophosphoethanolamine, phosphatidylcholine, phosphatidylinositol, lysophosphatidylserine, ceramide-AP, ceramide-AS, free fatty acids, cholesterol lipids, and N-acyl-lysophosphatidylethanolamine. Among these, the glyceride molecules exhibited the most pronounced changes and played a pivotal role in IMF deposition. Additionally, increased concentration of phospholipid molecules was observed in breast muscle at 70 d. Unsaturated fatty acids attached to lipid side chain sites enrich the nutritional value of goose meat. Notably, C16:0 and C18:0 were particularly abundant in the 70-day-old goose meat. Pathway analysis demonstrated that glycerophospholipid and glyceride metabolism were the pathways most significantly associated with lipid changes during goose growth, underscoring their crucial role in lipid metabolism in goose meat. In conclusion, this work provides an up-to-date study on the lipid composition and metabolic pathways of goose meat and may provide a theoretical basis for elucidating the nutritional value of goose meat at different growth stages.
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Affiliation(s)
- Zhi Cao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Maodou Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Shangzong Qi
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xinlei Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Wei Liu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Linyu Liu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Qiang Bao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Yang Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Qi Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Wenming Zhao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Guohong Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, 225009, China.
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10
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Jia W, Guo A, Bian W, Zhang R, Wang X, Shi L. Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways. Crit Rev Food Sci Nutr 2023:1-15. [PMID: 38127336 DOI: 10.1080/10408398.2023.2295016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservatives to meat products can affect their flavor and nutrition. This review clarifies the effects of preservatives on metabolic pathways and network molecular transformations in meat products based on lipidomics, metabolomics and proteomics analyses. Preservatives change the nutrient content of meat products via altering ionic strength and pH to influence enzyme activity. Ionic strength in salt triggers muscle triglyceride hydrolysis by causing phosphorylation and lipid droplet splitting in adipose tissue hormone-sensitive lipase and triglyceride lipase. DisoLipPred exploiting deep recurrent networks and transfer learning can predict the lipid binding trend of each amino acid in the disordered region of input protein sequences, which could provide omics analyses of biomarkers metabolic pathways in meat products. While conventional meat quality assessment tools are unable to elucidate the intrinsic mechanisms and pathways of variables in the influences of preservatives on the quality of meat products, the promising application of omics techniques in food analysis and discovery through multimodal learning prediction algorithms of neural networks (e.g., deep neural network, convolutional neural network, artificial neural network) will drive the meat industry to develop new strategies for food spoilage prevention and control.
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Affiliation(s)
- Wei Jia
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
- Agricultural Product Processing and Inspection Center, Shaanxi Testing Institute of Product Quality Supervision, Xi'an, Shaanxi, China
- Agricultural Product Quality Research Center, Shaanxi Research Institute of Agricultural Products Processing Technology, Xi'an, China
- Food Safety Testing Center, Shaanxi Sky Pet Biotechnology Co., Ltd, Xi'an, China
| | - Aiai Guo
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Wenwen Bian
- Agricultural Product Processing and Inspection Center, Shaanxi Testing Institute of Product Quality Supervision, Xi'an, Shaanxi, China
| | - Rong Zhang
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Xin Wang
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Lin Shi
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
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11
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Huang S, Zhang D, Wang Q, Shang B, Liu J, Xing X, Hong Y, Duan X, Sun H. Shotgun lipidomics reveals the changes in phospholipids of brown rice during accelerated aging. Food Res Int 2023; 171:113073. [PMID: 37330832 DOI: 10.1016/j.foodres.2023.113073] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/28/2023] [Accepted: 05/29/2023] [Indexed: 06/19/2023]
Abstract
Brown rice exhibits higher nutritional value and attracts more and more attentions; however, the change in phospholipid molecular species in brown rice during aging is poorly understood. In this study, shotgun lipidomics was employed to investigate the changes in phospholipid molecular species in four brown rice varieties (two japonica rice and two indica rice) during accelerated aging. A total of 64 phospholipid molecular species were identified, and most of them were rich in polyunsaturated fatty acids. For japonica rice, phosphatidylcholine (PC), phosphatidylethanolamine (PE), and phosphatidylglycerol (PG) gradually decreased during accelerated aging. However, the content of PC, PE, and PG in indica rice showed no difference during accelerated aging. Significantly different phospholipid molecular species from four brown rice were screened during accelerated aging. Based on these significantly different phospholipids, the metabolic pathways including glycerophospholipid metabolism and linoleic acid metabolism during accelerated aging were depicted. The findings from this study could be helpful in explaining the impact of accelerated aging on phospholipids of brown rice, and offer an understanding on relationships between phospholipids degradation and brown rice deterioration.
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Affiliation(s)
- Shanshan Huang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
| | - Dong Zhang
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.
| | - Qian Wang
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
| | - Bo Shang
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
| | - Jianlei Liu
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
| | - Xiaoting Xing
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
| | - Yu Hong
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China
| | - Xiaoliang Duan
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.
| | - Hui Sun
- Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.
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12
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Ma Q, Kou X, Yang Y, Yue Y, Xing W, Feng X, Liu G, Wang C, Li Y. Comparison of Lipids and Volatile Compounds in Dezhou Donkey Meat with High and Low Intramuscular Fat Content. Foods 2023; 12:3269. [PMID: 37685202 PMCID: PMC10486446 DOI: 10.3390/foods12173269] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 08/22/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
The intramuscular fat (IMF) content is considered an important factor for assessing meat quality, and is highly related to meat flavor. However, in donkey meat, the influences of IMF content on lipid and volatile profiles remain unclear. Thus, we conducted lipidomic and volatilomic investigations on high- and low-IMF samples from donkey longissimus dorsi muscle. When the IMF level increased, the monounsaturated fatty acid (especially oleic acid) content significantly increased but the saturated fatty acid content decreased (p < 0.05). Twenty-nine of 876 lipids showed significant differences between the two groups. Volatile profiles from differential IMF content samples were also distinct. Five differential volatile odorants were identified in the two groups: 2-acetyl-2-thiazoline, octanal, 2-pentylfuran, pentanal, and 1-(2-pyridinyl) ethanone. Additionally, strong correlations were found between differential fatty acids and lipids with differential odorants. Thus, the difference in volatile odorants may result from the change in the fatty acid composition and lipid profiles induced by different IMF contents, highlighting the urgent need to increase IMF levels in donkey meat.
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Affiliation(s)
- Qingshan Ma
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China; (Q.M.); (X.K.); (G.L.); (C.W.)
| | - Xiyan Kou
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China; (Q.M.); (X.K.); (G.L.); (C.W.)
| | - Youyou Yang
- State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Y.); (W.X.); (X.F.)
| | - Yunshuang Yue
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China;
| | - Weihai Xing
- State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Y.); (W.X.); (X.F.)
| | - Xiaohui Feng
- State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Y.); (W.X.); (X.F.)
| | - Guiqin Liu
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China; (Q.M.); (X.K.); (G.L.); (C.W.)
| | - Changfa Wang
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China; (Q.M.); (X.K.); (G.L.); (C.W.)
| | - Yan Li
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China; (Q.M.); (X.K.); (G.L.); (C.W.)
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13
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Yeo J, Kang J, Kim H, Moon C. A Critical Overview of HPLC-MS-Based Lipidomics in Determining Triacylglycerol and Phospholipid in Foods. Foods 2023; 12:3177. [PMID: 37685110 PMCID: PMC10486615 DOI: 10.3390/foods12173177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 09/10/2023] Open
Abstract
With the current advancement in mass spectrometry (MS)-based lipidomics, the knowledge of lipidomes and their diverse roles has greatly increased, enabling a deeper understanding of the action of bioactive lipid molecules in plant- and animal-based foods. This review provides in-depth information on the practical use of MS techniques in lipidomics, including lipid extraction, adduct formation, MS analysis, data processing, statistical analysis, and bioinformatics. Moreover, this contribution demonstrates the effectiveness of MS-based lipidomics for identifying and quantifying diverse lipid species, especially triacylglycerols and phospholipids, in foods. Further, it summarizes the wide applications of MS-based lipidomics in food science, such as for assessing food processing methods, detecting food adulteration, and measuring lipid oxidation in foods. Thus, MS-based lipidomics may be a useful method for identifying the action of individual lipid species in foods.
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Affiliation(s)
- JuDong Yeo
- Department of Food Science and Biotechnology of Animal Resources, Konkuk University, Seoul 05029, Republic of Korea; (J.K.); (H.K.); (C.M.)
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14
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Gu M, Li C, Chen L, Li S, Xiao N, Zhang D, Zheng X. Insight from untargeted metabolomics: Revealing the potential marker compounds changes in refrigerated pork based on random forests machine learning algorithm. Food Chem 2023; 424:136341. [PMID: 37216778 DOI: 10.1016/j.foodchem.2023.136341] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/16/2023] [Accepted: 05/08/2023] [Indexed: 05/24/2023]
Abstract
Data on changes in non-volatile components and metabolic pathways during pork storage were inadequately investigated. Herein, an untargeted metabolomics coupled with random forests machine learning algorithm was proposed to identify the potential marker compounds and their effects on non-volatile production during pork storage by ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS/MS). A total of 873 differential metabolites were identified based on analysis of variance (ANOVA). Bioinformatics analysis shows that the key metabolic pathways for protein degradation and amino acid transport are amino acid metabolism and nucleotide metabolism. Finally, 40 potential marker compounds were screened using the random forest regression model, innovatively proposing the key role of pentose-related metabolism in pork spoilage. Multiple linear regression analysis revealed that d-xylose, xanthine, and pyruvaldehyde could be key marker compounds related to the freshness of refrigerated pork. Therefore, this study could provide new ideas for the identification of marker compounds in refrigerated pork.
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Affiliation(s)
- Minghui Gu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Cheng Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Li Chen
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Shaobo Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Naiyu Xiao
- College of Light Industry and Food Science, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Dequan Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
| | - Xiaochun Zheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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15
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Mahrous E, Chen R, Zhao C, Farag MA. Lipidomics in food quality and authentication: A comprehensive review of novel trends and applications using chromatographic and spectroscopic techniques. Crit Rev Food Sci Nutr 2023; 64:9058-9081. [PMID: 37165484 DOI: 10.1080/10408398.2023.2207659] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Lipid analysis is an integral part of food authentication and quality control which provides consumers with the necessary information to make an informed decision about their lipid intake. Recent advancement in lipid analysis and lipidome scope represents great opportunities for food science. In this review we provide a comprehensive overview of available tools for extraction, analysis and interpretation of data related to dietary fats analyses. Different analytical platforms are discussed including GC, MS, NMR, IR and UV with emphasis on their merits and limitations alongside complementary tools such as chemometric models and lipid-targeted online databases. Applications presented here include quality control, authentication of organic and delicacy food, tracing dietary fat source and investigating the effect of heat/storage on lipids. A multitude of analytical methods with different sensitivity, affordability, reproducibility and ease of operation are now available to comprehensively analyze dietary fats. Application of these methods range from studies which favor the use of large data generating platforms such as MS-based methods, to routine quality control which demands easy to use affordable equipment as TLC and IR. Hence, this review provides a navigation tool for food scientists to help develop an optimal protocol for their future lipid analysis quest.
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Affiliation(s)
- Engy Mahrous
- Department of Pharmacognosy, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Ruoxin Chen
- Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Chao Zhao
- Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology, Fujian Agriculture and Forestry University, Fuzhou, China
- Engineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, Fuzhou, China
| | - Mohamed A Farag
- Department of Pharmacognosy, Faculty of Pharmacy, Cairo University, Cairo, Egypt
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16
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Liao Y, Ding Y, Du Q, Wu Y, Lin H, Benjakul S, Zhang B. Changes in the lipid profiles of hairtail (Trichiurus lepturus) muscle during air-drying via liquid chromatography-mass spectrometry analysis. Food Chem X 2023; 17:100610. [PMID: 36974190 PMCID: PMC10039224 DOI: 10.1016/j.fochx.2023.100610] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/18/2023] [Accepted: 02/20/2023] [Indexed: 03/05/2023] Open
Abstract
Chemical and liquid chromatography-mass spectrometry (LC/MS)-based lipidomics analyses were performed to explore the alterations in lipid profiles in the hairtail muscle during air-drying. The peroxide value (POV) and carbonyl group value (CGV) in the air-dried hairtail (ADH) significantly increased with air-drying time. Lipidomics results revealed 1,326 lipids, which were grouped into 33 lipid categories, including 422 triglycerides (TGs), 170 phosphatidylcholines (PCs), 110 phosphatidylethanolamines (PEs), among others. In addition, ADH contained 131 and 201 differentially abundant lipids (DALs) at high and low levels, respectively. Among them, DALs, TGs, PCs, LPCs, and LPEs could be used to distinguish between ADH and FH samples. The apparent alterations in ADH and FH samples were attributed to lipid decomposition, side-chain modifications during oxidation, or oxygen- and salt-promoted lipid oxidation. Thus, this study provides a more comprehensive understanding of hairtail lipid profiles before and after air-drying which can be used as a guide for hairtail products.
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Affiliation(s)
- Yueqin Liao
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, College of Food Science and Pharmacy, Zhejiang Ocean University, PR China
| | - Yixuan Ding
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, College of Food Science and Pharmacy, Zhejiang Ocean University, PR China
| | - Qi Du
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, College of Food Science and Pharmacy, Zhejiang Ocean University, PR China
| | - Yingru Wu
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, College of Food Science and Pharmacy, Zhejiang Ocean University, PR China
| | - Huimin Lin
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, College of Food Science and Pharmacy, Zhejiang Ocean University, PR China
- Pisa Marine Graduate School, Zhejiang Ocean University, PR China
- Corresponding authors at: No. 1, Haida South Road, Lincheng Changzhi Island, Zhoushan, Zhejiang Province 316022, PR China.
| | - Soottawat Benjakul
- International Center of Excellence in Seafood Science and Innovation, Faculty of Agro-Industry, Prince of Songkla University, Thailand
| | - Bin Zhang
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, College of Food Science and Pharmacy, Zhejiang Ocean University, PR China
- Pisa Marine Graduate School, Zhejiang Ocean University, PR China
- Corresponding authors at: No. 1, Haida South Road, Lincheng Changzhi Island, Zhoushan, Zhejiang Province 316022, PR China.
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17
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Nutritional lipidomics for the characterization of lipids in food. ADVANCES IN FOOD AND NUTRITION RESEARCH 2023. [PMID: 37516469 DOI: 10.1016/bs.afnr.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Lipids represent one out of three major macronutrient classes in the human diet. It is estimated to account for about 15-20% of the total dietary intake. Triacylglycerides comprise the majority of them, estimated 90-95%. Other lipid classes include free fatty acids, phospholipids, cholesterol, and plant sterols as minor components. Various methods are used for the characterization of nutritional lipids, however, lipidomics approaches become increasingly attractive for this purpose due to their wide coverage, comprehensiveness and holistic view on composition. In this chapter, analytical methodologies and workflows utilized for lipidomics profiling of food samples are outlined with focus on mass spectrometry-based assays. The chapter describes common lipid extraction protocols, the distinct instrumental mass-spectrometry based analytical platforms for data acquisition, chromatographic and ion-mobility spectrometry methods for lipid separation, briefly mentions alternative methods such as gas chromatography for fatty acid profiling and mass spectrometry imaging. Critical issues of important steps of lipidomics workflows such as structural annotation and identification, quantification and quality assurance are discussed as well. Applications reported over the period of the last 5years are summarized covering the discovery of new lipids in foodstuff, differential profiling approaches for comparing samples from different origin, species, varieties, cultivars and breeds, and for food processing quality control. Lipidomics as a powerful tool for personalized nutrition and nutritional intervention studies is briefly discussed as well. It is expected that this field is significantly growing in the near future and this chapter gives a short insight into the power of nutritional lipidomics approaches.
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18
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Zhang M, Xie D, Wang D, Xu W, Zhang C, Li P, Sun C. Lipidomic profile changes of yellow-feathered chicken meat during thermal processing based on UPLC-ESI-MS approach. Food Chem 2023; 399:133977. [DOI: 10.1016/j.foodchem.2022.133977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 08/15/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022]
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19
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Zhu Z, Pius Bassey A, Cao Y, Du X, Huang T, Cheng Y, Huang M. Meat quality and flavor evaluation of Nanjing water boiled salted duck (NWSD) produced by different Muscovy duck (Cairina moschata) ingredients. Food Chem 2022; 397:133833. [PMID: 35933751 DOI: 10.1016/j.foodchem.2022.133833] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 07/25/2022] [Accepted: 07/29/2022] [Indexed: 12/24/2022]
Abstract
Reports on meat quality and flavor evaluation of Nanjing water boiled salted duck (NWSD) produced by different Muscovy duck (Cairina moschata) ingredients are limited. To select a suitable Muscovy duck ingredient for the NWSD processing, six kinds of NWSD products were produced using female (65, 70, and 75 days) and male (75, 80, and 85 days) Muscovy duck ingredients. The meat quality, volatile organic compounds (VOCs), smell and taste were investigated by using colorimeter, texture analyzer, headspace-gas chromatography-ion mobility spectroscopy (HS-GC-IMS), electronic nose (E-nose), electronic tongue (E-tongue), etc. Results exhibited that 32 iconic VOCs were obtained by using partial least squares discrimination analysis (PLS-DA), principal component analysis (PCA), and variable importance projection (VIP) methods. 80-day-old male Muscovy duck showed moderate moisture and protein content, good meat texture and bright color, diverse iconic VOCs and clear differentiation, making it the preferred ingredient for NWSD processing.
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Affiliation(s)
- Zongshuai Zhu
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Anthony Pius Bassey
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yaqi Cao
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xiaolan Du
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Tianran Huang
- Jiangsu Research Center for Livestock and Poultry Products Processing Engineering Technology, Nanjing Huangjiaoshou Food Science and Technology Co. Ltd., Nanjing 211200, PR China
| | - Yiqun Cheng
- College of Life Sciences, Anhui Normal University, Wuhu 241000, PR China
| | - Ming Huang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China; Jiangsu Research Center for Livestock and Poultry Products Processing Engineering Technology, Nanjing Huangjiaoshou Food Science and Technology Co. Ltd., Nanjing 211200, PR China.
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20
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Xu P, Liu L, Liu K, Wang J, Gao R, Zhao Y, Bai F, Li Y, Wu J, Zeng M, Xu X. Flavor formation analysis based on sensory profiles and lipidomics of unrinsed mixed sturgeon surimi gels. Food Chem X 2022; 17:100534. [DOI: 10.1016/j.fochx.2022.100534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/02/2022] [Accepted: 12/01/2022] [Indexed: 12/05/2022] Open
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21
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Li C, Al-Dalali S, Zhou H, Xu B. Influence of curing on the metabolite profile of water-boiled salted duck. Food Chem 2022; 397:133752. [DOI: 10.1016/j.foodchem.2022.133752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 11/16/2022]
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22
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Li C, Al-Dalali S, Wang Z, Xu B, Zhou H. Investigation of volatile flavor compounds and characterization of aroma-active compounds of water-boiled salted duck using GC-MS-O, GC-IMS, and E-nose. Food Chem 2022; 386:132728. [PMID: 35509168 DOI: 10.1016/j.foodchem.2022.132728] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/14/2022] [Accepted: 03/14/2022] [Indexed: 12/18/2022]
Abstract
To clarify the characteristic aroma substances of water-boiled salted duck (WSD), headspace-gas chromatography-mass spectrometry-olfactometry (HS-GC-MS-O), gas chromatography-ion mobility spectrometry (GC-IMS) combined with an electronic nose (E-nose) were used to analyze the volatile flavor profile of three types of WSD (containing four samples). Thirty-one and fifty volatile flavor components were identified by GC-MS and GC-IMS, including aldehydes, alcohols, esters, ketones, hydrocarbons, and others. The characteristic aroma compounds of WSD, including pentanal, hexanal, heptanal, octanal, nonanal, (E)-2-octenal, benzaldehyde, (E)-2-nonenal, decanal, 1-octen-3-ol, 1-octanol, 1-pentanol, ethyl acetate, d-limonene, and 2-pentylfuran, were confirmed by GC-O, odor activity values (OAVs), and aroma-recombination and omission experiments. The aroma description of these aroma-active compounds can be divided into 6 categories, namely, "fruity", "mushroom", "fat", "sweet", "faint scent" and "potato, scorch" aromas. The difference between samples was mainly caused by the differential volatile compounds, followed by the identification method.
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Affiliation(s)
- Cong Li
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China
| | - Sam Al-Dalali
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China
| | - Zhouping Wang
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Baocai Xu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China
| | - Hui Zhou
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; Anhui Province Key Laboratory of Agricultural Products Processing, Hefei 230601, Anhui, China.
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Wang H, Wu Y, Xiang H, Sun-Waterhouse D, Zhao Y, Chen S, Li L, Wang Y. UHPLC-Q-Exactive Orbitrap MS/MS-based untargeted lipidomics reveals molecular mechanisms and metabolic pathways of lipid changes during golden pomfret (Trachinotus ovatus) fermentation. Food Chem 2022; 396:133676. [PMID: 35868287 DOI: 10.1016/j.foodchem.2022.133676] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/22/2022] [Accepted: 07/09/2022] [Indexed: 12/16/2022]
Abstract
Fermented golden pomfret (a popular marine fish product) is prepared via spontaneous fermentation. However, no comprehensive analysis has been reported on its lipid composition and metabolism. Herein, UHPLC-MS/MS-based untargeted lipidomic analysis identified 998 lipids (six classes; 29 subclasses) in fermented golden pomfret, including glycerolipids (47.70%) and glycerophospholipids (32.06%). As fermentation proceeded, triglyceride and diglyceride contents increased and subsequently decreased, while that of poly-unsaturated fatty acid-containing lipids increased (including those with docosahexaenoic acid, eicosapentaenoic acid, and docosapentaenoic acid). Pathway enrichment analysis identified seven lipid-related metabolic pathways, with the glycerophospholipid pathway found to be the most pertinent. Moreover, the decreased abundance of phosphatidylethanolamines and phosphatidylcholines during fermentation results from their high unsaturated fatty acid (FA) content. Indeed, essential FA contents increase following fermentation, due to their occurrence as glycerolipid side chains. Collectively, the results of this study provide a theoretical reference for optimizing the quality of fermented fish products.
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Affiliation(s)
- Huifang Wang
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China; College of Food Science and Engineering, Ocean University of China, Qingdao 266000, China
| | - Yanyan Wu
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Huan Xiang
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
| | - Dongxiao Sun-Waterhouse
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; School of Chemical Sciences, The University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Yongqiang Zhao
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Shengjun Chen
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Laihao Li
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
| | - Yueqi Wang
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang 222005, China; Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China.
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