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Wang S, Zhang Y, Zhu R, Xing F, Yan J, Meng L, Yao X. Sliding-window enhanced olfactory visual images combined with deep learning to predict TVB-N content in chilled mutton. Meat Sci 2025; 225:109791. [PMID: 40048988 DOI: 10.1016/j.meatsci.2025.109791] [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: 07/21/2024] [Revised: 02/24/2025] [Accepted: 02/26/2025] [Indexed: 05/03/2025]
Abstract
A novel data enhancement method for olfactory visual images was proposed in this study, combined with deep learning to achieve the accurate prediction of total volatile basic nitrogen (TVB-N) content in chilled mutton. Specifically, the sliding-window was defined and used to separately extract different regions of interest from each sensing region by encoding and decoding the sliding position information, so the olfactory visual image was enhanced. This enhancement method considered the position shift and uneven colour presentation of sensitive points during the preparation and reaction of olfactory visualization sensor array. Based on the enhanced images, three advanced deep learning models (InceptionNetV3, ResNet50 and MobileNetV3) were established, and compared with three traditional machine learning models of partial least squares regression (PLSR), support vector regression (SVR) and random forest (RF) based on manually extracted colour space features. By comparison, deep learning models of InceptionNetV3, ResNet50 and MobileNetV3 had better predictive performance, and the optimal prediction results were obtained by the MobileNetV3 model. The determination coefficient (R2), root-mean-square error (RMSE) and relative prediction deviation (RPD) of the best prediction model for test set were 0.97, 2.42 mg/100 g and 5.82, respectively. The results demonstrated that the combination of olfactory visualization sensor array and the lightweight MobileNetV3 can stably and effectively predict the TVB-N content in chilled mutton, and has great potential for on-site evaluation of mutton freshness.
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Affiliation(s)
- Shichang Wang
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China
| | - Yixin Zhang
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China
| | - Rongguang Zhu
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China.
| | - Fukang Xing
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China
| | - Jiufu Yan
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China
| | - Lingfeng Meng
- Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao 266000, China
| | - Xuedong Yao
- College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China
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2
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Wu Y, Ma F, Tan S, Niu A, Chen Y, Liu Y, Qiu W, Wang G. The aprD-mutated strain modulates the development of Pseudomonas fragi population but has limited effects on the spoilage profiles of native residents. Food Microbiol 2025; 128:104708. [PMID: 39952743 DOI: 10.1016/j.fm.2024.104708] [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: 10/23/2024] [Revised: 12/02/2024] [Accepted: 12/06/2024] [Indexed: 02/17/2025]
Abstract
Extracellular enzymes produced by predominant bacteria exert important roles in inducing and accelerating spoilage, with their secretion regulated by specific genes. In Pseudomonas fragi, the aprD gene is a recognized regulator for secreting an alkaline extracellular protease. However, limited studies have focused on this gene in P. fragi population and its impact on meat microbial community structure and function. This study addressed this gap by monitoring the changes in biological properties of P. fragi populations and analyzing the discrepancies in spoilage phenotypes and microbial community structures of chilled chicken among groups differentiated by the initial prevalence of aprD-positive strains. The results showed that aprD-positive strains were disseminated in P. fragi populations, and its prevalence was associated with significant increases in swimming motility and biofilm formation capacities in specific groups. In situ contamination experiments revealed varying spoilage characteristics and community compositions among groups by day 3 of storage. Correlation analysis demonstrated a strong association between spoilage phenotypes and certain bacterial genera, such as Pseudomonadaceae_Pseudomonas and Carnobacterium. However, the microbial community structure and spoilage characteristics of samples from each group were not significantly different on the 5th day of storage. These findings suggest that even a small number of aprD mutants can significantly affect the assembly of the chilled meat microbial community. Nonetheless, the regulatory effect of aprD on spoilage at the strain and population levels of P. fragi is negligible in the context of complex natural microbiota. This work underscores the complex interactions between specific bacterial genes and the broader microbial ecology in refrigerated meat environments, providing deeper insights into the meat spoilage mechanisms.
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Affiliation(s)
- Yajie Wu
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China
| | - Fang Ma
- Institute of Veterinary Immunology & Engineering, National Research Center of Engineering and Technology for Veterinary Biologicals, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China
| | - Song Tan
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China
| | - Ajuan Niu
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China
| | - Yuping Chen
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China
| | - Yuxin Liu
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China
| | - Weifen Qiu
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China
| | - Guangyu Wang
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, 210023, China.
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3
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Xiao L, Cui L, Lapu M, Bai T, Wang J, Guo X, Liu D, Liu M, Wang X. The Structure, Assembly Processes of Microbial Communities and Their Effects on the Quality of Goat MEAT During Chilled Storage (4 °C). Foods 2025; 14:1653. [PMID: 40361734 PMCID: PMC12071899 DOI: 10.3390/foods14091653] [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: 04/06/2025] [Revised: 04/23/2025] [Accepted: 04/29/2025] [Indexed: 05/15/2025] Open
Abstract
Microbial community succession is closely related to the corruption of meat, but there are few studies on microbial community assembly and their relationship with physicochemical indexes in meat during chilled storage (4 °C). This study aimed to investigate the mechanism of bacterial community assembly and the effect of microbial succession on quality changes during the preservation of goat meat. The results showed that the stochastic process was the primary driving mechanism during community construction. During the chilled storage, the predominant bacteria in the three groups at the genus level were Acinetobacter and Pseudomonas. With the extension of storage duration, the relative abundance of Pseudomonas in samples from local markets and slaughterhouses increased rapidly and gradually acted as dominant flora during the succession process. Spearman correlation analysis revealed that Pseudomonas exhibited a highly significant positive association with total volatile basic nitrogen (TVB-N) and a highly significant negative correlation with redness (p < 0.01), which is crucial in the degradation of meat quality. These results provide guidance for regulating the microbial communities of goat meat during preservation by optimizing the storage conditions to delay the deterioration of goat meat.
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Affiliation(s)
- Longquan Xiao
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (L.X.)
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
- Yibin Etiange Food Co., Ltd., Yibin 644100, China
| | - Lin Cui
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (L.X.)
| | - Molazi Lapu
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (L.X.)
| | - Ting Bai
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (L.X.)
| | - Juan Wang
- Chongqing Academy of Metrology and Quality Inspection, Chongqing 400020, China
| | - Xiaoying Guo
- Sichuan Kelun Pharmaceutical Co., Ltd., Chengdu 610599, China
| | - Dayu Liu
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (L.X.)
| | - Mingxue Liu
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
| | - Xinhui Wang
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (L.X.)
- Yibin Etiange Food Co., Ltd., Yibin 644100, China
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4
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Wang W, Wang Y, Weng P, Zhang Y, Peng J, Ma F, Zhou H. Analysis of Potential Markers of Pork Freshness Based on Volatile Organic Compounds. Foods 2025; 14:832. [PMID: 40077535 PMCID: PMC11898832 DOI: 10.3390/foods14050832] [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: 01/20/2025] [Revised: 02/15/2025] [Accepted: 02/18/2025] [Indexed: 03/14/2025] Open
Abstract
Bacteria and endogenous enzymes generate volatile organic compounds (VOCs), which are posited to be the primary source of undesirable flavors in spoilt pork. Headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was employed to assess the fluctuations in VOC concentrations in pork stored under tray packaging at 6-8 °C for 10 days, while total volatile basic nitrogen (TVB-N) and total viable counts (TVCs) were used to determine the quality of the pork. During storage, TVCs steadily increased, reflecting the growth of spoilage-related microorganisms, while TVB-N levels surpassed the spoilage threshold early, indicating an acceleration of the degradation process. Nine VOCs associated with pork spoilage were found by partial least squares discriminant analysis (PLS-DA), fold change (FC), and t-tests. The substances comprised ethyl acetate, acetoin, 3-methyl-1-butanol, 3-methylbutanal, 1-octen-3-ol, hexanal, vinyl acetate, 2-methylaziridine, and heptanal. A univariate linear regression analysis revealed a strong positive correlation (p < 0.001) between the gaseous total volatile basic nitrogen (G-TVBN) and the storage duration. Given that G-TVBN accurately reflects changes in pork freshness and the progression of spoilage, these results highlight the potential for dynamically monitoring the freshness and spoilage processes of pork.
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Affiliation(s)
- Wu Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
- Engineering Research Centre of the Ministry of Education for Agricultural Biochemicals, Hefei University of Technology, Hefei 230009, China
| | - Yujing Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
| | - Peilin Weng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
| | - Yixin Zhang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
| | - Jiali Peng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
| | - Fei Ma
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
- Engineering Research Centre of the Ministry of Education for Agricultural Biochemicals, Hefei University of Technology, Hefei 230009, China
| | - Hui Zhou
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; (Y.W.)
- Engineering Research Centre of the Ministry of Education for Agricultural Biochemicals, Hefei University of Technology, Hefei 230009, China
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5
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Zhuang L, Song C, Wei Y, Han J, Ni L, Ruan C, Zhang W. Transcriptome Analysis Reveals the Molecular Mechanism of Pseudomonas with Different Adhesion Abilities on Tilapia Decay. Foods 2025; 14:795. [PMID: 40077498 PMCID: PMC11898514 DOI: 10.3390/foods14050795] [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: 01/19/2025] [Revised: 02/20/2025] [Accepted: 02/24/2025] [Indexed: 03/14/2025] Open
Abstract
This study aimed to investigate the molecular mechanism of Pseudomonas with varying adhesion capabilities to Tilapia's intestinal mucus influence the spoilage potential of Tilapia. Sodium chloride(NaCl) was used as an environmental factor to regulate Pseudomonas' adhesion ability. After being exposed to 3.5% NaCl stress, the PS01 strain with low adhesion showed an enhancement in adhesion ability, while the LP-3 strain with high adhesion exhibited a decrease. Correspondingly, the expression of critical adhesion genes, such as flgC, fliC, and cheB, was found to be altered. LP-3, with high adhesion ability, was observed to promote a relative increase in Nocardioides and Cloacibacterium in fish intestines. This led to the production of more volatile compounds, including 2-octen-1-ol Z, 2,3-Octanedione, and Eicosane, thus deepening the spoilage of tilapia. LP-3, with reduced adhesion ability after NaCl regulation, showed a diminished capacity to cause fish spoilage. Transcriptomics analysis was used to examine two Pseudomonas strains that exhibited different adhesion abilities, leading to the identification of an adhesion regulatory network involving flagellar assembly regulation, bacterial chemotaxis, quorum sensing, two-component systems, biofilm formation, and bacterial secretion systems. This study identified the Pseudomonas adhesion regulatory pathway and determined 10 key adhesion-related genes.
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Affiliation(s)
| | | | | | | | | | - Chengxu Ruan
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China; (L.Z.); (C.S.); (Y.W.); (J.H.); (L.N.)
| | - Wen Zhang
- Institute of Food Science and Technology, College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China; (L.Z.); (C.S.); (Y.W.); (J.H.); (L.N.)
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6
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Zhang Y, Li J, Zeng Z, Wei X, Brunton NP, Yang Y, Gao P, Xing J, Li P, Liu F, Liu R, Li Q, Liu H, Li J. Exploring the freshness biomarker and volatiles formation in stored pork by means of lipidomics and volatilomics. Food Res Int 2025; 200:115476. [PMID: 39779125 DOI: 10.1016/j.foodres.2024.115476] [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: 07/21/2024] [Revised: 11/08/2024] [Accepted: 11/27/2024] [Indexed: 01/11/2025]
Abstract
Raw pork is prone to oxidation and rancidity as it contains a high level of unsaturated lipid molecules. Reliable biomarkers to benchmark pork freshness and their formation have not been systematically investigated. The results indicated that the peroxide values, TVB-N and rancid volatiles dramatically increased in pork during the storage period (4 °C, 0-9 d). Concentrations of most volatile compounds with carbonyl groups were increased markedly in pork during storing, including hexanal, acetic acid, and hexadecanoic acid methyl ester. Lipidomics, volatilomics and chemometrics methods were used to discriminate the freshness of pork, among which acetic acid and PC O-20:3 emerged as the most reliable freshness biomarkers. Phospholipids and neutral lipids, including phosphatidylcholines (PC), triglycerides (TG), and phosphatidylethanolamine (PE), played a crucial role in the formation of rancid volatiles and the decreased freshness. This work will provide technical supports for the efficient storage and preservation of raw meat.
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Affiliation(s)
- Yuping Zhang
- School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, Bionanotechnology Institute, Ludong University, Yantai 264025, China
| | - Jingyu Li
- School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, Bionanotechnology Institute, Ludong University, Yantai 264025, China
| | - Zixu Zeng
- Yantai Institute of Technology, Yantai 264025, China
| | - Xiangru Wei
- School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Nigel P Brunton
- School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Yanqing Yang
- School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, Bionanotechnology Institute, Ludong University, Yantai 264025, China
| | - Peng Gao
- Thermo Fisher Scientific, Beijing 100102, China
| | | | - Pi Li
- Thermo Fisher Scientific, Beijing 100102, China
| | - Fangjie Liu
- School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, Bionanotechnology Institute, Ludong University, Yantai 264025, China
| | - Rui Liu
- School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, Bionanotechnology Institute, Ludong University, Yantai 264025, China
| | - Qianqian Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Huan Liu
- School of Food Engineering, Yantai Key Laboratory of Nanoscience and Technology for Prepared Food, Yantai Engineering Research Center of Green Food Processing and Quality Control, Bionanotechnology Institute, Ludong University, Yantai 264025, China.
| | - Jianxun Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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7
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Xu C, Wang S, Bai J, Chen X, Shi Y, Hao J, Zhao B. Dynamic microbial community and metabolic profiling in refrigerated beef: Insights from diverse packaging strategies. Food Res Int 2024; 197:115170. [PMID: 39593381 DOI: 10.1016/j.foodres.2024.115170] [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: 08/23/2024] [Revised: 09/28/2024] [Accepted: 09/28/2024] [Indexed: 11/28/2024]
Abstract
Extending the shelf life of fresh beef is essential for meat industry. This study explored the microbial community succession, metabolic profile changes, and their interactions during refrigerated storage of beef under different packaging methods. The results showed that compared with air packaging (AP), vacuum packaging (CV) and vacuum skin packaging (VS) maintained higher microbial diversity over longer periods. Among 1,106 metabolites identified, lipids and lipid-like molecules were most prominent. Unique pathways in VS beef, such as oxidative phosphorylation and calcium signaling pathways, underscored its advantages in maintaining beef flavor and oxidation stability. Moreover, dozens of metabolites were identified as potential biomarkers of the treatment effects of different packaging methods. Correlation analysis presented a significant positive correlation between bacterial genera like Brochothrix, Acinetobacter, Serratia, and metabolites such as lipids, organic acids, and nucleotides. This research offers essential insights for optimizing product safety and extending shelf life in the future meat industry.
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Affiliation(s)
- Chenchen Xu
- China Meat Research Center, Beijing Academy of Food Sciences, Beijing the Key Laboratory of Meat Processing Technology, Beijing 100068, China
| | - Shouwei Wang
- China Meat Research Center, Beijing Academy of Food Sciences, Beijing the Key Laboratory of Meat Processing Technology, Beijing 100068, China.
| | - Jing Bai
- China Meat Research Center, Beijing Academy of Food Sciences, Beijing the Key Laboratory of Meat Processing Technology, Beijing 100068, China
| | - Xiangning Chen
- Key Laboratory of Agricultural Product Processing and Quality Control (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing University of Agriculture, Beijing 102206, China
| | - Yuxuan Shi
- China Meat Research Center, Beijing Academy of Food Sciences, Beijing the Key Laboratory of Meat Processing Technology, Beijing 100068, China
| | - Jingyi Hao
- China Meat Research Center, Beijing Academy of Food Sciences, Beijing the Key Laboratory of Meat Processing Technology, Beijing 100068, China
| | - Bing Zhao
- China Meat Research Center, Beijing Academy of Food Sciences, Beijing the Key Laboratory of Meat Processing Technology, Beijing 100068, China.
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8
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Gu M, Li C, Ren Y, Chen L, Li S, Zhang D, Zheng X. Exploring the effect of part differences on metabolite molecule changes in refrigerated pork: Identifying key metabolite compounds and their conversion pathways. Food Chem 2024; 460:140308. [PMID: 39024809 DOI: 10.1016/j.foodchem.2024.140308] [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: 04/18/2024] [Revised: 06/28/2024] [Accepted: 06/30/2024] [Indexed: 07/20/2024]
Abstract
Effect of part differences on metabolite molecule alterations in refrigerated pork was investigated. A metabolomics methodology combined with chemometric analysis was successfully established to identify key compounds and their conversion pathways, including precursors and volatile metabolites, in the Longissimus lumborum as well as the breast and flank stored for 11 days. In total, 12 discriminative precursors were identified using the Short Time-series Expression Miner. In tandem with Random Forest and ANOVA analyses, nine volatile metabolites were identified as key compounds that could be attributed to differences in pork sections. Bidirectional orthogonal partial least squares analysis revealed a potential correlation between these key metabolites and discriminative precursors. Metabolic pathway enrichment analysis demonstrated that the primary metabolic process affected by variations in pork sections is linoleic acid metabolism, which participates in the metabolism of cysteine and glutamic acid to produce methoxy-phenyl-oxime. This study provides valuable insights into the identification of differential metabolites.
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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
| | - Yuqing Ren
- 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
| | - 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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9
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Gu M, Zhang D, Li C, Ren Y, Song G, Chen L, Li S, Zheng X. In-depth metaproteomics analysis reveals the protein profile and metabolism characteristics in pork during refrigerated storage. Food Chem 2024; 459:140149. [PMID: 39002337 DOI: 10.1016/j.foodchem.2024.140149] [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: 01/16/2024] [Revised: 05/28/2024] [Accepted: 06/15/2024] [Indexed: 07/15/2024]
Abstract
Alterations in microbiotas and endogenous enzymes have been implicated in meat deterioration. However, the factors that mediate the interactions between meat quality and microbiome profile were inadequately investigated. In this study, we collected pork samples throughout the refrigeration period and employed metaproteomics to characterize both the pork and microbial proteins. Our findings demonstrated that pork proteins associated with the catabolic process are upregulated during storage compared to the initial stage. Pseudomonas, Clostridium, Goodfellowiella, and Gonapodya contribute to the spoilage process. Notably, we observed an elevated abundance of microbial proteins related to glycolytic enzymes in refrigerated pork, identifying numerous proteins linked to biogenic amine production, thus highlighting their essential role in microbial decay. Further, we reveal that many of these microbial proteins from Pseudomonas are ribosomal proteins, promoting enzyme synthesis by enhancing transcription and translation. This study provides intrinsic insights into the underlying mechanisms by which microorganisms contribute to meat spoilage.
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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
| | - 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
| | - 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
| | - Yuqing Ren
- 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
| | - Guangchun Song
- 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
| | - 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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10
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Song L, Wang P, Xu M, Zhang C, Wu H, Wang M, Liu W. Fabrication of black wolfberry anthocyanin-based hydrogels for monitoring freshness and extending shelf-life of Dolang lamb. Int J Biol Macromol 2024; 276:133917. [PMID: 39019358 DOI: 10.1016/j.ijbiomac.2024.133917] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 07/11/2024] [Accepted: 07/14/2024] [Indexed: 07/19/2024]
Abstract
In this study, a black wolfberry anthocyanin-based indication label (BWIL) was developed using black wolfberry pigment (BWP) in combination with polyvinyl alcohol (PVA) and carboxymethyl cellulose (CMC) (PVA:CMC = 4:3). The potential use of BWIL for monitoring the freshness of Dorang lamb was further investigated. As revealed, physical cross-linking occurred between PVA, CMC and BWP during the preparation of BWIL. The addition of BWP promoted the internal cross-linking, porosity, and thermal stability of BWIL significantly (p < 0.05). Specifically, BWIL showed a distinct color change when exposed to the refrigerated conditions of Dorang lamb. After 6 days, 12 days and 16 days of lamb refrigeration, the ΔE of BWIL was 26.3, 28.6 and 30.7, respectively, which far exceeded the human eyes' color threshold discernible (ΔE = 3.5). Besides, the ΔE of BWIL was significantly correlated with pH, fat oxidation, and TVB-N content of Dorang lamb (p < 0.05). This result indicated that BWIL could be used for identifying the freshness of lamb accurately. Importantly, the shelf-life of lamb with BWIL was extended from 6 days to 16 days, which suggests that BWIL would be an effective tool for real-time freshness monitoring and shelf-life extending of Dorang lamb.
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Affiliation(s)
- Lijun Song
- Chestnut Research Center of Hebei Normal University of Science and Technology, Qinhuangdao 066004, Hebei, China; Hebei Key Laboratory of Active Components and Functions in Natural Products, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China; Engineering Research Centre of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao 06660, Hebei, China
| | - Ping Wang
- Xinxiang Institute of Engineering, School of Food Engineering, Xinxiang 457000, Henan, China
| | - Man Xu
- Hebei Key Laboratory of Active Components and Functions in Natural Products, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China; Engineering Research Centre of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao 06660, Hebei, China
| | - Chuxuan Zhang
- Hebei Key Laboratory of Active Components and Functions in Natural Products, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China; Engineering Research Centre of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao 06660, Hebei, China
| | - Hongyu Wu
- Hebei Key Laboratory of Active Components and Functions in Natural Products, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China; Engineering Research Centre of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao 06660, Hebei, China
| | - Mengshi Wang
- Chestnut Research Center of Hebei Normal University of Science and Technology, Qinhuangdao 066004, Hebei, China; Hebei Key Laboratory of Active Components and Functions in Natural Products, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China; Engineering Research Centre of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao 06660, Hebei, China
| | - Weiwei Liu
- Chestnut Research Center of Hebei Normal University of Science and Technology, Qinhuangdao 066004, Hebei, China; Hebei Key Laboratory of Active Components and Functions in Natural Products, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, China; Engineering Research Centre of Chestnut Industry Technology, Ministry of Education, Hebei Normal University of Science and Technology, Qinhuangdao 06660, Hebei, China.
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11
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Zheng Y, Gao H, Liu Z, Li C, Feng X, Chen L. Ammonia/pH super-sensitive colorimetric labels based on gellan gum, sodium carboxymethyl cellulose, and dyes for monitoring freshness of lamb meat. Int J Biol Macromol 2024; 274:133227. [PMID: 38897512 DOI: 10.1016/j.ijbiomac.2024.133227] [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: 12/25/2023] [Revised: 06/14/2024] [Accepted: 06/15/2024] [Indexed: 06/21/2024]
Abstract
This study aimed to develop an ammonia and pH super-sensitive label by incorporating methyl red and bromothymol blue (MR-BTB, MB) into gellan gum/sodium carboxymethyl cellulose (GG/CMC-Na, GC). Furthermore, E-nose as an auxiliary tool combined with the labels to monitor meat freshness. Results showed that MB had more color change than pure MR or BTB, and the detection limit of ammonia about the MR-BTB (1:2) group was only 2.82 ppm. The addition of MB significantly increased tensile strength, moisture content, and water solubility, but decreased elongation at break and transmittance of the GC label (p < 0.05). The result of FTIR and SEM indicated the formation of hydrogen bonds and well compatibility between MB and GC. Furthermore, the color of the GC-10.0MB label was constantly obviously changing during meat storage, indicating that the GC-10.0MB label had great potential for monitoring the freshness of the lamb meat. A high correlation was found between ΔE of GC-10.0MB label and TVB-N (R2 = 0.9092) and pH (R2 = 0.9114) of meat. Interestingly, the high correlation between ΔE of GC-10.0 MB label and the response value of S2 (R2 = 0.7531), S6 (R2 = 0.9921), and S7 sensor (R2 = 0.8325) of E-nose was also found.
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Affiliation(s)
- Yongxin Zheng
- College of Food Science and Engineering, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Hengkai Gao
- College of Food Science and Engineering, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Ziyao Liu
- College of Food Science and Engineering, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Cenhao Li
- College of Food Science and Engineering, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Xianchao Feng
- College of Food Science and Engineering, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China.
| | - Lin Chen
- College of Food Science and Engineering, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi 712100, China.
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12
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Zhou Z, Ren F, Huang Q, Cheng H, Cun Y, Ni Y, Wu W, Xu B, Yang Q, Yang L. Characterization and interactions of spoilage of Pseudomonas fragi C6 and Brochothrix thermosphacta S5 in chilled pork based on LC-MS/MS and screening of potential spoilage biomarkers. Food Chem 2024; 444:138562. [PMID: 38330602 DOI: 10.1016/j.foodchem.2024.138562] [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: 08/14/2023] [Revised: 01/17/2024] [Accepted: 01/21/2024] [Indexed: 02/10/2024]
Abstract
Pseudomonas and Brochothrix are the main spoilage organisms in pork, and each of these plays an essential role in the spoilage process. However, the effect of co-contamination of these two organisms in pork has not been elucidated. The changing bacterial communities during spontaneous spoilage of pork at 4 °C were evaluated using high-throughput sequencing. The dominant spoilage bacteria were isolated and these were identified as Pseudomonas fragi C6 and Brochothrix thermosphacta S5. Chilled pork was then experimentally contaminated with these strains, individually and in combination, and the progression of spoilage was assessed by analyzing various physicochemical indicators. These included total viable counts (TVC), pH, color, total volatile basic nitrogen (TVB-N), and detection of microbial metabolites. After 7 days of chilled storage, co-contaminated pork produced higher TVC and TVB-N values than mono-contaminated samples. Metabolomic analysis identified a total of 8,084 metabolites in all three groups combined. Differential metabolites were identified, which were involved in 38 metabolic pathways. Among these pathways, the biosynthesis of alkaloids derived from purine and histidine was identified as an important pathway related to spoilage. Specifically, histidine, histamine, AMP, IMP, GMP, succinic acid, and oxoglutaric acid were identified as potential spoilage biomarkers. The study showed that the combined presence of P. fragi C6 and B. thermosphacta S5 bacteria makes chilled pork more prone to spoilage, compared to their individual presence. This study provides insights that can assist in applying appropriate techniques to maintain quality and safety changes in meat during storage and further the assessment of freshness.
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Affiliation(s)
- Zhonglian Zhou
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Fangqi Ren
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Qianli Huang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Haoran Cheng
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Yu Cun
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China
| | - Yongsheng Ni
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Wenda Wu
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Baocai Xu
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Qinghua Yang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China
| | - Liu Yang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, Hefei University of Technology, Hefei 230009, China; School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, China; Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China.
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13
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Wen X, Zhang D, Morton JD, Wang S, Chai X, Li X, Yang Q, Li J, Yang W, Hou C. Contribution of mono- and co-culture of Pseudomonas paralactis, Acinetobacter MN21 and Stenotrophomonas maltophilia to the spoilage of chill-stored lamb. Food Res Int 2024; 186:114313. [PMID: 38729689 DOI: 10.1016/j.foodres.2024.114313] [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: 11/09/2023] [Revised: 03/26/2024] [Accepted: 04/16/2024] [Indexed: 05/12/2024]
Abstract
Exploring the contribution of common microorganisms to spoilage is of great significance in inhibiting spoilage in lamb. This work investigated the extent of protein degradation and profile changes of free amino acids (FAAs), free fatty acids (FFAs) and volatile organic compounds (VOCs) in lamb caused by single- and co-culture of the common aerobic spoilage bacteria, P. paralactis, Ac. MN21 and S. maltophilia. Meanwhile, some key VOCs produced by the three bacteria during lamb spoilage were also screened by orthogonal partial least square discriminant analysis and difference value in VOCs content between inoculated groups and sterile group. Lamb inoculated with P. paralactis had the higher total viable counts, pH, total volatile base nitrogen and TCA-soluble peptides than those with the other two bacteria. Some FAAs and FFAs could be uniquely degraded by P. paralactis but not Ac. MN21 and S. maltophilia, such as Arg, Glu, C15:0, C18:0 and C18:1n9t. Co-culture of the three bacteria significantly promoted the overall spoilage, including bacterial growth, proteolysis and lipolysis. Key VOCs produced by P. paralactis were 2, 3-octanedione, those by Ac. MN21 were 1-octanol, octanal, hexanoic acid, 1-pentanol and hexanoic acid methyl ester, and that by S. maltophilia were hexanoic acid. The production of extensive key-VOCs was significantly and negatively correlated with C20:0, C23:0 and C18:ln9t degradation. This study can provide a basis for inhibiting common spoilage bacteria and promoting high-quality processing of fresh lamb.
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Affiliation(s)
- Xiangyuan Wen
- 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
| | - 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
| | - James D Morton
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Su Wang
- 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
| | - Xiaoyu Chai
- 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
| | - Xin 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
| | - Qingfeng Yang
- 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
| | - Jinhuo Li
- Hebei Jinhong Halal Meat Co., Ltd, Dingzhou 073000, China
| | - Wei Yang
- Sunrise Material Co., Ltd, Jiangyin 214411, China
| | - Chengli Hou
- 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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14
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Zhao Z, Ling Z, Nie X, Liu D, Chen H, Zhang S. Microbial Diversity and Community Structure of Chinese Fresh Beef during Cold Storage and Their Correlations with Off-Flavors. Foods 2024; 13:1482. [PMID: 38790782 PMCID: PMC11119422 DOI: 10.3390/foods13101482] [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: 03/24/2024] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 05/26/2024] Open
Abstract
To investigate the diversity and dynamics of microorganisms in Chinese fresh beef (CFB) without acid discharge treatment during cold storage, high-throughput sequencing was employed to analyze the CFB refrigerated for 0, 3, 7, and 10 days. The results showed that the community richness of the fungi and bacteria decreased significantly. However, the diversity decreased in the early stage and increased in the later stage. At the phylum level, Ascomycota (74.1-94.1%) and Firmicutes (77.3-96.8%) were the absolutely dominant fungal and bacterial phyla. The relative abundance of both fungal and bacterial phyla displayed a trend of increasing and then decreasing. At the genus level, Candida (29.3-52.5%) and Lactococcus (19.8-59.3%) were, respectively, the dominant fungal and bacterial genera. The relative abundance of Candida showed a trend of increasing and then decreasing, while Lactococcus possessed the opposite trend. KEGG metabolic pathways analysis suggested that carbohydrate metabolism, membrane transport, and amino acid metabolism were the major metabolic pathways of bacteria. Bugbase prediction indicated the major microbial phenotype of bacteria in CFB during cold storage was Gram-positive (17.2-31.6%). Correlation analysis suggested that Lactococcus, Citrobacter, Proteus, and Rhodotorula might be the main microorganisms promoting the production of off-flavor substances in CFB. This study provides a theoretical basis for the preservation of Chinese fresh beef.
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Affiliation(s)
- Zhiping Zhao
- Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (Z.Z.); (Z.L.); (H.C.); (S.Z.)
| | - Ziqing Ling
- Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (Z.Z.); (Z.L.); (H.C.); (S.Z.)
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China;
| | - Xin Nie
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China;
| | - Dayu Liu
- Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (Z.Z.); (Z.L.); (H.C.); (S.Z.)
| | - Hongfan Chen
- Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (Z.Z.); (Z.L.); (H.C.); (S.Z.)
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China;
| | - Shengyuan Zhang
- Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China; (Z.Z.); (Z.L.); (H.C.); (S.Z.)
- College of Food Science and Technology, Sichuan Tourism University, Chengdu 610100, China;
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15
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Sun G, Yang J, Holman BWB, Tassou CC, Papadopoulou OS, Luo X, Zhu L, Mao Y, Zhang Y. Exploration of the shelf-life difference between chilled beef and pork with similar initial levels of bacterial contamination. Meat Sci 2024; 213:109480. [PMID: 38461676 DOI: 10.1016/j.meatsci.2024.109480] [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: 09/22/2023] [Revised: 01/11/2024] [Accepted: 03/04/2024] [Indexed: 03/12/2024]
Abstract
This study compared the shelf-life of beef and pork longissimus lumborum muscles (loins) that had the same initial bacterial loads and were held under the same chilled storage conditions. To identify the underlying pathways, comparisons were conducted from the perspective of the spoilage indicators; protease/lipase activity, and the volatile organic compounds (VOC) generated over 28 d of chilled storage. The initial total viable microbial count (TVC) on Day 0 for both type of meat was 4.3 log10 CFU/g. It was found that the TVC of beef and pork did not differ throughout the total chilled storage period and both ultimately exceeded 7 log10 CFU/g after 28 d. Based on total volatile basic nitrogen (TVB-N) guidelines, pork was spoilt after 21 d of chilled storage and therefore 7 d earlier than beef. Changes in the concentration of VOC spoilage biomarkers, including 1-octen-3-ol, 1-octanol, nonanal, and others, confirmed that pork had a shorter shelf-life than beef. An important reason for the difference in shelf-life between the two types of meat was that pork had a higher protease activity, although the beef had higher levels of total lipase activity. These findings help us understand the differences in the spoilage process of raw meat from different species and explore specific measures to control the spoilage of beef or pork.
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Affiliation(s)
- Ge Sun
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability, Tai'an, Shandong 271018, PR China.
| | - Jun Yang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability, Tai'an, Shandong 271018, PR China.
| | - Benjamin W B Holman
- Wagga Wagga Agricultural Institute, NSW Department of Primary Industries, Wagga Wagga, New South Wales 2650, Australia.
| | - Chrysoula C Tassou
- Institute of Technology of Agricultural Products, Hellenic Agricultural Organization "DIMITRA", Attiki, 14123, Lykovrisi, Greece.
| | - Olga S Papadopoulou
- Institute of Technology of Agricultural Products, Hellenic Agricultural Organization "DIMITRA", Attiki, 14123, Lykovrisi, Greece.
| | - Xin Luo
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability, Tai'an, Shandong 271018, PR China.
| | - Lixian Zhu
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability, Tai'an, Shandong 271018, PR China.
| | - Yanwei Mao
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability, Tai'an, Shandong 271018, PR China.
| | - Yimin Zhang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability, Tai'an, Shandong 271018, PR China.
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16
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Liu L, Zhao Y, Zeng M, Xu X. Research progress of fishy odor in aquatic products: From substance identification, formation mechanism, to elimination pathway. Food Res Int 2024; 178:113914. [PMID: 38309863 DOI: 10.1016/j.foodres.2023.113914] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/13/2023] [Accepted: 12/21/2023] [Indexed: 02/05/2024]
Abstract
Fishy odor in aquatic products has a significant impact on the purchasing decisions of consumers. The production of aquatic products is a complex process involving culture, processing, transportation, and storage, which contribute to decreases in flavor and quality. This review systematically summarizes the fishy odor composition, identification methods, generation mechanism, and elimination methods of fishy odor compounds from their origin and formation to their elimination. Fishy odor compounds include aldehydes (hexanal, heptanal, and nonanal), alcohols (1-octen-3-ol), sulfur-containing compounds (dimethyl sulfide), and amines (trimethylamine). The mechanism of action of various factors affecting fishy odor is revealed, including environmental factors, enzymatic reactions, lipid oxidation, protein degradation, and microbial metabolism. Furthermore, the control and removal of fishy odor are briefly summarized and discussed, including masking, elimination, and conversion. This study provides a theoretical basis from source to elimination for achieving targeted regulation of the flavor of aquatic products, promoting industrial innovation and upgrading.
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Affiliation(s)
- Li Liu
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China
| | - Yuanhui Zhao
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China
| | - Mingyong Zeng
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China.
| | - Xinxing Xu
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, China.
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17
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Wei W, Zhang F, Fu F, Sang S, Qiao Z. Rapid Detection of Total Viable Count in Intact Beef Dishes Based on NIR Hyperspectral Hybrid Model. SENSORS (BASEL, SWITZERLAND) 2023; 23:9584. [PMID: 38067956 PMCID: PMC10708565 DOI: 10.3390/s23239584] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/18/2023]
Abstract
The total viable count (TVC) of bacteria is an important index to evaluate the freshness and safety of dishes. To improve the accuracy and robustness of spectroscopic detection of total viable bacteria count in a complex system, a new method based on a near-infrared (NIR) hyperspectral hybrid model and Support Vector Machine (SVM) algorithms was developed to directly determine the total viable count in intact beef dish samples in this study. Diffuse reflectance data of intact and crushed samples were tested by NIR hyperspectral and processed using Multiplicative Scattering Correction (MSC) and Competitive Adaptive Reweighted Sampling (CARS). Kennard-Stone (KS) and Samples Set Partitioning Based on Joint X-Y Distance (SPXY) algorithms were used to select the optimal number of standard samples transferred by the model combined with root mean square error. The crushed samples were transferred into the complete samples prediction model through the Direct Standardization (DS) algorithm. The spectral hybrid model of crushed samples and full samples was established. The results showed that the Determination Coefficient of Calibration (RP2) value of the total samples prediction set increased from 0.5088 to 0.8068, and the value of the Root Mean Square Error of Prediction (RMSEP) decreased from 0.2454 to 0.1691 log10 CFU/g. After establishing the hybrid model, the RMSEP value decreased by 9.23% more than before, and the values of Relative Percent Deviation (RPD) and Reaction Error Relation (RER) increased by 12.12% and 10.09, respectively. The results of this study showed that TVC instewed beef samples can be non-destructively determined based on the DS model transfer method combined with the hybrid model strategy. This study provided a reference for solving the problem of poor accuracy and reliability of prediction models in heterogeneous samples.
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Affiliation(s)
- Wensong Wei
- Key Laboratory of Agricultural Product Processing, Ministry of Agriculture/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China; (F.Z.); (F.F.); (S.S.); (Z.Q.)
| | - Fengjuan Zhang
- Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China; (F.Z.); (F.F.); (S.S.); (Z.Q.)
| | - Fangting Fu
- Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China; (F.Z.); (F.F.); (S.S.); (Z.Q.)
| | - Shuo Sang
- Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China; (F.Z.); (F.F.); (S.S.); (Z.Q.)
| | - Zhen Qiao
- Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China; (F.Z.); (F.F.); (S.S.); (Z.Q.)
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18
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Abu Bakar NH, Chiu HY, Urban PL. Mass Specthoscope: A Hand-held Extendable Probe for Localized Noninvasive Sampling of Skin Volatome for Online Analysis. Anal Chem 2023; 95:17143-17150. [PMID: 37935619 DOI: 10.1021/acs.analchem.3c04483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Human skin emits a unique set of volatile organic compounds (VOCs). These VOCs can be probed in order to obtain physiological information about the individuals. However, extracting the VOCs that emanate from human skin for analysis is troublesome and time-consuming. Therefore, we have developed "Mass Specthoscope"─a convenient tool for rapid sampling and detecting VOCs emitted by human skin. The hand-held probe with a pressurized tip and wireless button enables sampling VOCs from surfaces and their transfer to the atmospheric pressure chemical ionization source of quadrupole time-of-flight mass spectrometer. The system was characterized using chemical standards (acetone, benzaldehyde, sulcatone, α-pinene, and decanal). The limits of detection are in the range from 2.25 × 10-5 to 3.79 × 10-5 mol m-2. The system was initially tested by detecting VOCs emanating from porcine skin spiked with VOCs as well as unspiked fresh and spoiled ham. In the main test, the skin of nine healthy participants was probed with the Mass Specthoscope. The sampling regions included the armpit, forearm, and forehead. Numerous skin-related VOC signals were detected. In the final test, one participant ingested a fenugreek drink, and the participant's skin surface was probed using the Mass Specthoscope hourly during the 8 h period. The result revealed a gradual release of fenugreek-related VOCs from the skin. We believe that this analytical approach has the potential to be used in metabolomic studies and following further identification of disease biomarkers─also in noninvasive diagnostics.
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Affiliation(s)
- Noor Hidayat Abu Bakar
- Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan
| | - Hsien-Yi Chiu
- Department of Medical Research, National Taiwan University Hospital Hsin-Chu Branch, 25 Jingguo Road, Hsinchu 300, Taiwan
- Department of Dermatology, National Taiwan University Hospital Hsin-Chu Branch, 25 Jingguo Road, Hsinchu 300, Taiwan
- Department of Dermatology, National Taiwan University Hospital, 7 Chung Shan S. Road, Taipei 100, Taiwan
- Department of Dermatology, College of Medicine, National Taiwan University, 1 Jen Ai Road, Taipei 100, Taiwan
| | - Pawel L Urban
- Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan
- Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan
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19
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Zibaee P, Shamekhi M. Physicochemical properties of Kakol ( Suaeda aegyptiaca) essential oil nanoemulsion and its effect on the storage quality of rainbow trout ( Oncorhynchus mykiss) during cold storage. Food Sci Nutr 2023; 11:5209-5222. [PMID: 37701194 PMCID: PMC10494664 DOI: 10.1002/fsn3.3480] [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: 01/24/2023] [Revised: 05/14/2023] [Accepted: 05/25/2023] [Indexed: 09/14/2023] Open
Abstract
The study aims to analyze the chemical composition of Suaeda aegyptiaca essential oil (PSAE) by GC-MS, produce the nanoemulsified essential oil (NSAE) using ultrasound, and compare the antimicrobial and antioxidant activity of the PSAE and NSAE in laboratory medium and rainbow trout fish (Oncorhynchus mykiss). Geranyl-acetone (30.52%) and p-Vinylguaiacol (10.66%), and (e)-β-ionone (7.79%) were the main PSAE chemical compounds. The mean droplet size diameter, polydispersity index, and viscosity of NSAE were 179.67 nm, 0.255, and 0.96 cP, respectively. PSAE and NSAE showed a moderate antiradical potential against DPPH- and ABTS-free radicals (50 < IC50 < 250 μg mL-1). There was no significant difference between antiradical scavenging of PSAE and NSAE (p > .05). E. faecalis and K. pneumonia were the most and lowest sensitive bacteria to PSAE and NSAE, respectively. Examining different treatments on the shelf-life of minced fish showed that Kakol essential oil could improve the shelf-life of fish between 12.5% and 60% (depending on quality index). There was no significant difference between the bioactivity of PSAE and NSAE, which means that the nanoemulsion showed acceptable performance at lower essential oil concentrations.
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Affiliation(s)
- Payam Zibaee
- Department of Food Science and Technology, Sarvestan BranchIslamic Azad UniversitySarvestanIran
| | - Mohammad‐Amin Shamekhi
- Department of Food Science and Technology, Sarvestan BranchIslamic Azad UniversitySarvestanIran
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20
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Yang J, Liang R, Mao Y, Dong P, Zhu L, Luo X, Zhang Y, Yang X. Potential inhibitory effect of carbon dioxide on the spoilage behaviors of Pseudomonas fragi in high-oxygen packaged beef during refrigerated storage. Food Microbiol 2023; 112:104229. [PMID: 36906301 DOI: 10.1016/j.fm.2023.104229] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/15/2023] [Accepted: 01/21/2023] [Indexed: 01/24/2023]
Abstract
Pseudomonas fragi is a dominant meat spoilage organism under high-oxygen modified atmosphere packaging (HiOx-MAP). This work investigated the effects of CO2 on P. fragi growth and the related spoilage phenomena of HiOx-MAP beef. Minced beef incubated with P. fragi T1, a strain owning the strongest spoilage potential among isolates, was stored under CO2-enriched HiOx-MAP (TMAP; 50% O2/40% CO2/10% N2) or non-CO2 HiOx-MAP (CMAP; 50% O2/50% N2) at 4 °C for 14 days. Compared to CMAP, TMAP maintained sufficient O2 levels to endow beef with higher a* values and meat color stability due to lower P. fragi counts from day 1 (P < 0.05). TMAP samples also showed lower (P < 0.05) lipase activity and protease activity within 14-days and 6-days than CMAP samples respectively. TMAP delayed the significantly increased pH and total volatile basic nitrogen contents occurred in CMAP beef during storage. Despite TMAP markedly promoted the lipid oxidation associated with higher concentrations of hexanal and 2,3-octanedione than CMAP (P < 0.05), TMAP beef retained an acceptable organoleptic odor due to a CO2-inhibition on the microbial-induced 2,3-butanedione and ethyl 2-butenoate formation. This study provided a comprehensive insight into the antibacterial mechanism of CO2 on P. fragi in HiOx-MAP beef.
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Affiliation(s)
- Jun Yang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China
| | - Rongrong Liang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China
| | - Yanwei Mao
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China
| | - Pengcheng Dong
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China
| | - Lixian Zhu
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China
| | - Xin Luo
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China
| | - Yimin Zhang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China.
| | - Xiaoyin Yang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong, 271018, PR China.
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21
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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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22
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Dursun A, Güler Z. Colour and pigment in raw ground meat incorporated crushed garlic during the refrigerated storage: Their relationship to lipolytic and volatilomic changes. Food Chem 2023; 419:136042. [PMID: 37030214 DOI: 10.1016/j.foodchem.2023.136042] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 02/18/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023]
Abstract
The effects of freshly crushed garlic incorporated in raw ground meat at different rates 0 % to 2 % on colour, pigment forms, TBARS, peroxide, free fatty acids and volatilomic were investigated during 96 h storage at 4 °C. With advancing storage time and increasing garlic rate from 0 % to 2 %, the redness (a*), colour stability, oxymyoglobin and deoxymyoglobin decreased, but metmyoglobin, TBARS, peroxide, free fatty acids (C6, C15-C17), and aldehydes and alcohols, especially hexanal, hexanol, benzaldehyde, increased. Principal component analysis based on pigment, colour, lipolytic and volatilomic changes classified successfully the meat samples. Metmyoglobin was positively correlated with lipid oxidation products (TBARS, hexanal), but the other pigment forms and colour parameters (a* and b* values) were negatively correlated. Increased metmyoglobin proportion and decreased redness and colour stability may be used as reliable indicators of lipid oxidation. Also, the incorporation of fresh garlic into ground meat was not promising to increase oxidative stability.
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Affiliation(s)
- Ahmet Dursun
- Hatay Mustafa Kemal University, Faculty of Agriculture, Department of Food Engineering, 31060 Hatay, Türkiye.
| | - Zehra Güler
- Hatay Mustafa Kemal University, Faculty of Agriculture, Department of Food Engineering, 31060 Hatay, Türkiye.
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23
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Gu M, Li C, Su Y, Chen L, Li S, Li X, Zheng X, Zhang D. Novel insights from protein degradation: deciphering the dynamic evolution of biogenic amines as a quality indicator in pork during storage. Food Res Int 2023; 167:112684. [PMID: 37087256 DOI: 10.1016/j.foodres.2023.112684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 03/01/2023] [Accepted: 03/09/2023] [Indexed: 03/15/2023]
Abstract
Biogenic amines (BAs) have drawn great attention as important markers for monitoring food quality. However, the BAs content in protein degradation profiles during pork storage was inadequately investigated. In this work, the Longissimus lumborum and Breast and flank of pork were collected, and their peptides contents, free amino acids (FAAs) contents, BAs contents, and several characteristic physicochemical indexes were monitored during storage at 4 °C. As a result, the differences of nutritional components in the Longissimus lumborum and Breast and flank could not affect the shelf life of refrigerated pork. There are 161 small peptides in the Longissimus lumborum of pork identified by LC-MS. As verified, arginine, glutamic acid, valine, and alanine could serve as four indicative amino acids during protein degradation in pork, and the arginine degradation pathway is more complex. Redundancy analysis confirmed that putrescine and cadaverine were significantly related to the precursor FAAs content, and their sum value could be used as a novel quality indicator instead of the biogenic amine index (BAI). Finally, the above prediction was also verified by the other species (beef, mutton and chicken) to improve the index system of meat quality evaluation in cold chain logistics.
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24
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Chen X, Dong P, Li K, Zhu L, Yang X, Mao Y, Niu L, Hopkins DL, Luo X, Liang R, Zhang Y. Effect of the combination of superchilling and super-chilled storage on shelf-life and bacterial community dynamics of beef during long-term storage. Meat Sci 2022; 192:108910. [PMID: 35868071 DOI: 10.1016/j.meatsci.2022.108910] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 11/29/2022]
Abstract
This study investigated the effect of superchilling (-30 °C until the core temperature achieved -3 °C, and - 1 °C until 24 h, SC) on shelf-life and bacterial community dynamics of beef loins, with a typical very fast chilling (-30 °C until the core temperature achieved 0 °C, and - 1 °C until 24 h, VFC) and conventional chilling (0- 4 °C for 24 h, CC) as controls. The super-chilled storage (-1 °C) was adopted after each chilling procedure, and physicochemical traits and microbiological quality were evaluated during a long-term storage. No remarkable adverse impact on meat color and lipid oxidation were observed in SC treatment. The bacterial composition results showed that Carnobacterium spp. were the main bacteria in SC treatment in the late storage period (63- 84 days). The loss of Lactobacillus spp., due to the "ultra-low temperature" during the superchilling, might be the reason that the SC did not result in a longer shelf-life compared with CC samples.
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Affiliation(s)
- Xue Chen
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; Henan Key Laboratory of Cold Chain Food Quality and Safety Control, Zhengzhou University of Light Industry, Zhengzhou 450001, China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China
| | - Pengcheng Dong
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China
| | - Ke Li
- Henan Key Laboratory of Cold Chain Food Quality and Safety Control, Zhengzhou University of Light Industry, Zhengzhou 450001, China
| | - Lixian Zhu
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China
| | - Xiaoyin Yang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China
| | - Yanwei Mao
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China
| | - Lebao Niu
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China
| | - David L Hopkins
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; NSW Department of Primary Industries, Centre for Red Meat and Sheep Development, PO Box 129, Cowra, NSW 2794, Australia
| | - Xin Luo
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China; Jiangsu Synergetic Innovation Center of Meat Production and Processing Quality and Safety Control, Nanjing, Jiangsu 210000, PR China
| | - Rongrong Liang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China.
| | - Yimin Zhang
- Lab of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an, Shandong 271018, PR China; Henan Key Laboratory of Cold Chain Food Quality and Safety Control, Zhengzhou University of Light Industry, Zhengzhou 450001, China; National R&D Center for Beef Processing Technology, Tai'an, Shandong 271018, PR China.
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