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Wang Y, Xiao R, Liu S, Wang P, Zhu Y, Niu T, Chen H. The Impact of Thermal Treatment Intensity on Proteins, Fatty Acids, Macro/Micro-Nutrients, Flavor, and Heating Markers of Milk-A Comprehensive Review. Int J Mol Sci 2024; 25:8670. [PMID: 39201356 PMCID: PMC11354856 DOI: 10.3390/ijms25168670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/02/2024] [Accepted: 08/07/2024] [Indexed: 09/02/2024] Open
Abstract
Milk thermal treatment, such as pasteurization, high-temperature short-time processing, and the emerging ultra-short-time processing (<0.5 s), are crucial for ensuring milk safety and extending its shelf life. Milk is a nutritive food matrix with various macro/micro-nutrients and other constituents that are possibly affected by thermal treatment for reasons associated with processing strength. Therefore, understanding the relationship between heating strength and milk quality is vital for the dairy industry. This review summarizes the impact of thermal treatment strength on milk's nutritional and sensory properties, the synthesizing of the structural integrity and bioavailability of milk proteins, the profile and stability of fatty acids, the retention of macro/micro-nutrients, as well as the overall flavor profile. Additionally, it examines the formation of heat-induced markers, such as Maillard reaction products, lactulose, furosine, and alkaline phosphatase activity, which serve as indicators of heating intensity. Flavor and heating markers are commonly used to assess the quality of pasteurized milk. By examining former studies, we conclude that ultra-short-time-processing-treated milk is comparable to pasteurized milk in terms of specific parameters (such as whey protein behavior, furosine, and ALP contents). This review aims to better summarize how thermal treatments influence the milk matrix, guiding the dairy industry's development and balancing milk products' safety and nutritional value.
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Affiliation(s)
- Yi Wang
- Food Laboratory of Zhongyuan, China Agricultural University, Beijing 100083, China;
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
| | - Ran Xiao
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
| | - Shiqi Liu
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
| | - Pengjie Wang
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
| | - Yinhua Zhu
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
| | - Tianjiao Niu
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
| | - Han Chen
- Food Laboratory of Zhongyuan, China Agricultural University, Beijing 100083, China;
- Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (R.X.); (S.L.); (P.W.); (Y.Z.)
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2
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Zhang Y, Yu P, Tao F. Dynamic Interplay between Microbiota Shifts and Differential Metabolites during Dairy Processing and Storage. Molecules 2024; 29:2745. [PMID: 38930811 PMCID: PMC11206652 DOI: 10.3390/molecules29122745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 05/25/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
Due to the intricate complexity of the original microbiota, residual heat-resistant enzymes, and chemical components, identifying the essential factors that affect dairy quality using traditional methods is challenging. In this study, raw milk, pasteurized milk, and ultra-heat-treated (UHT) milk samples were collectively analyzed using metagenomic next-generation sequencing (mNGS), high-throughput liquid chromatography-mass spectrometry (LC-MS), and gas chromatography-mass spectrometry (GC-MS). The results revealed that raw milk and its corresponding heated dairy products exhibited different trends in terms of microbiota shifts and metabolite changes during storage. Via the analysis of differences in microbiota and correlation analysis of the microorganisms present in differential metabolites in refrigerated pasteurized milk, the top three differential microorganisms with increased abundance, Microbacterium (p < 0.01), unclassified Actinomycetia class (p < 0.05), and Micrococcus (p < 0.01), were detected; these were highly correlated with certain metabolites in pasteurized milk (r > 0.8). This indicated that these genera were the main proliferating microorganisms and were the primary genera involved in the metabolism of pasteurized milk during refrigeration-based storage. Microorganisms with decreased abundance were classified into two categories based on correlation analysis with certain metabolites. It was speculated that the heat-resistant enzyme system of a group of microorganisms with high correlation (r > 0.8), such as Pseudomonas and Acinetobacter, was the main factor causing milk spoilage and that the group with lower correlation (r < 0.3) had a lower impact on the storage process of pasteurized dairy products. By comparing the metabolic pathway results based on metagenomic and metabolite annotation, it was proposed that protein degradation may be associated with microbial growth, whereas lipid degradation may be linked to raw milk's initial heat-resistant enzymes. By leveraging the synergy of metagenomics and metabolomics, the interacting factors determining the quality evolution of dairy products were systematically investigated, providing a novel perspective for controlling dairy processing and storage effectively.
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Affiliation(s)
- Yinan Zhang
- Key Laboratory of Milk and Dairy Products Detection and Monitoring Technology for State Market Regulation, Shanghai Institute of Quality Inspection and Technical Research, Shanghai 200233, China
| | - Peng Yu
- State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd., Shanghai 200436, China;
| | - Fei Tao
- State Key Laboratory of Microbial Metabolism, and School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
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3
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Su G, Yu C, Liang S, Wang W, Wang H. Multi-omics in food safety and authenticity in terms of food components. Food Chem 2024; 437:137943. [PMID: 37948800 DOI: 10.1016/j.foodchem.2023.137943] [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: 07/28/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 11/12/2023]
Abstract
One of the main goals of food science is to ensure the high quality and safety of food. The inspection technology for known hazards has matured, and the identification of unknown and potential food safety hazards, as well as the identification of their composition and origin, is a challenge faced by food safety. Food safety and authenticity require multi-omics methods to support the implementation of qualitative discrimination to precise quantitative analysis, from targeted screening to non-target detection, and from multi component to full component analysis to address these challenges. The present review aims to provide characterizations, advantages, the latest progress, and prospects of using omics (including genomics, proteomics, and metabonomics) in food safety and authenticity. Multi omics strategies used to detect and verify different standard biomarkers of food will contribute to understanding the basic relationship between raw materials, processing, foods, nutrition, food safety, and human health.
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Affiliation(s)
- Guangyue Su
- Shenyang Pharmaceutical University, Shenyang 110016, PR China; School of Functional Food and Wine, Shenyang Pharmaceutical University, Shenyang, 110016, PR of China
| | - Chong Yu
- Shenyang Pharmaceutical University, Shenyang 110016, PR China; Department of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China
| | - Shuwen Liang
- Shenyang Pharmaceutical University, Shenyang 110016, PR China; Department of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China
| | - Wei Wang
- Shenyang Pharmaceutical University, Shenyang 110016, PR China; Department of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China
| | - Haifeng Wang
- Shenyang Pharmaceutical University, Shenyang 110016, PR China; Department of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
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4
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Lemas DJ, Du X, Dado-Senn B, Xu K, Dobrowolski A, Magalhães M, Aristizabal-Henao JJ, Young BE, Francois M, Thompson LA, Parker LA, Neu J, Laporta J, Misra BB, Wane I, Samaan S, Garrett TJ. Untargeted Metabolomic Analysis of Lactation-Stage-Matched Human and Bovine Milk Samples at 2 Weeks Postnatal. Nutrients 2023; 15:3768. [PMID: 37686800 PMCID: PMC10490210 DOI: 10.3390/nu15173768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/20/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
Epidemiological data demonstrate that bovine whole milk is often substituted for human milk during the first 12 months of life and may be associated with adverse infant outcomes. The objective of this study is to interrogate the human and bovine milk metabolome at 2 weeks of life to identify unique metabolites that may impact infant health outcomes. Human milk (n = 10) was collected at 2 weeks postpartum from normal-weight mothers (pre-pregnant BMI < 25 kg/m2) that vaginally delivered term infants and were exclusively breastfeeding their infant for at least 2 months. Similarly, bovine milk (n = 10) was collected 2 weeks postpartum from normal-weight primiparous Holstein dairy cows. Untargeted data were acquired on all milk samples using high-resolution liquid chromatography-high-resolution tandem mass spectrometry (HR LC-MS/MS). MS data pre-processing from feature calling to metabolite annotation was performed using MS-DIAL and MS-FLO. Our results revealed that more than 80% of the milk metabolome is shared between human and bovine milk samples during early lactation. Unbiased analysis of identified metabolites revealed that nearly 80% of milk metabolites may contribute to microbial metabolism and microbe-host interactions. Collectively, these results highlight untargeted metabolomics as a potential strategy to identify unique and shared metabolites in bovine and human milk that may relate to and impact infant health outcomes.
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Affiliation(s)
- Dominick J. Lemas
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
- Department of Obstetrics and Gynecology, College of Medicine, University of Florida, Gainesville, FL 32608, USA;
- Center for Perinatal Outcomes Research, College of Medicine, University of Florida, Gainesville, FL 32608, USA;
| | - Xinsong Du
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Bethany Dado-Senn
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA;
| | - Ke Xu
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Amanda Dobrowolski
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Marina Magalhães
- Department of Behavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL 32603, USA;
| | - Juan J. Aristizabal-Henao
- Department of Physiological Science, Center for Environmental and Human Toxicology, College of Veterinary Science, University of Florida, Gainesville, FL 32608, USA;
| | - Bridget E. Young
- Division of Breastfeeding and Lactation Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA;
| | - Magda Francois
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Lindsay A. Thompson
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Leslie A. Parker
- Center for Perinatal Outcomes Research, College of Medicine, University of Florida, Gainesville, FL 32608, USA;
| | - Josef Neu
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL 32608, USA;
| | - Jimena Laporta
- Department of Obstetrics and Gynecology, College of Medicine, University of Florida, Gainesville, FL 32608, USA;
| | | | - Ismael Wane
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Samih Samaan
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, USA; (X.D.); (K.X.); (A.D.); (M.F.); (L.A.T.); (I.W.); (S.S.)
| | - Timothy J. Garrett
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32608, USA;
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Eltemur D, Robatscher P, Oberhuber M, Scampicchio M, Ceccon A. Applications of Solution NMR Spectroscopy in Quality Assessment and Authentication of Bovine Milk. Foods 2023; 12:3240. [PMID: 37685173 PMCID: PMC10486658 DOI: 10.3390/foods12173240] [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: 07/06/2023] [Revised: 08/07/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is emerging as a promising technique for the analysis of bovine milk, primarily due to its non-destructive nature, minimal sample preparation requirements, and comprehensive approach to untargeted milk analysis. These inherent strengths of NMR make it a formidable complementary tool to mass spectrometry-based techniques in milk metabolomic studies. This review aims to provide a comprehensive overview of the applications of NMR techniques in the quality assessment and authentication of bovine milk. It will focus on the experimental setup and data processing techniques that contribute to achieving accurate and highly reproducible results. The review will also highlight key studies that have utilized commonly used NMR methodologies in milk analysis, covering a wide range of application fields. These applications include determining milk animal species and feeding regimes, as well as assessing milk nutritional quality and authenticity. By providing an overview of the diverse applications of NMR in milk analysis, this review aims to demonstrate the versatility and significance of NMR spectroscopy as an invaluable tool for milk and dairy metabolomics research and hence, for assessing the quality and authenticity of bovine milk.
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Affiliation(s)
- Dilek Eltemur
- Laimburg Research Centre, Laimburg 6—Pfatten (Vadena), 39040 Auer, Italy (A.C.)
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Piazza Unversità 5, 39100 Bolzano, Italy
| | - Peter Robatscher
- Laimburg Research Centre, Laimburg 6—Pfatten (Vadena), 39040 Auer, Italy (A.C.)
| | - Michael Oberhuber
- Laimburg Research Centre, Laimburg 6—Pfatten (Vadena), 39040 Auer, Italy (A.C.)
| | - Matteo Scampicchio
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Piazza Unversità 5, 39100 Bolzano, Italy
| | - Alberto Ceccon
- Laimburg Research Centre, Laimburg 6—Pfatten (Vadena), 39040 Auer, Italy (A.C.)
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6
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Fan Z, Jia W. Ambient 1,2-propanediol exposure accelerates the degradation of lipids and amino acids in milk via allosteric effects and affects the utilization of nutrients containing amide bond. Food Res Int 2023; 170:112965. [PMID: 37316053 DOI: 10.1016/j.foodres.2023.112965] [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: 10/19/2022] [Revised: 04/22/2023] [Accepted: 05/10/2023] [Indexed: 06/16/2023]
Abstract
The scandal of detecting 1, 2-propanediol (PL) in milk brought a crisis to the trust of consumers in the dairy industry, and the potential toxicity of PL has aroused the public concern about dietary exposure. A total of 200 pasteurized milk samples were collected from 15 regions, and the quantity of PL ranged between 0 and 0.31 g kg-1. Pseudo-targeted quantitative metabolomics integrated with proteomics demonstrated that PL enhanced the reduction of κ-casein, β-casein, and 107 substances (41 amines and 66 amides) containing amide bonds. Pathway enrichment and topological analysis indicated that PL induced the metabolism of lipids, amino acids, oligosaccharide nucleotides, and alkaloids by accelerating the rate of nucleophilic reaction, and acetylcholinesterase, sarcosine oxidase, and prolyl 4-hydroxylase were determined as the vital enzymes related to the degradation of above nutrients. The results of molecular simulation calculation illustrated that the number of hydrogen bonds between acetylcholinesterase, sarcosine oxidase, and substrate increased to 2 and 3, respectively, while the position of hydrogen bonds between prolyl 4-hydroxylase and proline was shifted, indicating the change of conformation and the enhancement of hydrogen bond force were essential factors for the up-regulation of enzyme activity. This study first revealed the mechanism of deposition and transformation of PL in milk, which contributed to the knowledge of the quality control of milk and provided vital indicators to evaluate the adverse risks of PL in dairy products.
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Affiliation(s)
- Zibian Fan
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China
| | - Wei Jia
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China; Shaanxi Research Institute of Agricultural Products Processing Technology, Xi'an 710021, China.
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7
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Junza A, Saurina J, Minguillón C, Barrón D. Metabolites in Milk after Enrofloxacin Treatment and Their Persistence to Temperature. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:8441-8450. [PMID: 35776853 PMCID: PMC9880995 DOI: 10.1021/acs.jafc.2c02230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this work, metabolomic profile changes in milk from cows affected by mastitis and treated with enrofloxacin (ENR) have been studied using LC-HRMS techniques. Principal component analysis was applied to the obtained results, and the interest was focused on changes affecting compounds without a structural relationship to ENR. Most of the compounds, whose concentrations were modified as a result of the pharmacological treatment and/or the pathological status, were related to amino acids and peptides. Compounds that may become possible biomarkers for either disease or treatment have been detected. Additionally, the alterations caused by thermal processes, such as those applied to milk before consumption, on the identified metabolites have also been considered.
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Affiliation(s)
- Alexandra Junza
- Department
de Enginyeria Química i Química Analí́tica, Universitat de Barcelona, Martí i Franquès, 1-11, Barcelona 08028, Spain
| | - Javier Saurina
- Department
de Enginyeria Química i Química Analí́tica, Universitat de Barcelona, Martí i Franquès, 1-11, Barcelona 08028, Spain
- Institut
de Recerca en Nutrició i Seguretat Alimentària de la
Universitat de Barcelona (INSA-UB), Barcelona 08007, Spain
| | - Cristina Minguillón
- Department
de Nutrició, Ciències de l’alimentació
i Gastronomia, Universitat de Barcelona, Avda. Prat de la Riba, 171, Sta.
Coloma de Gramenet, Barcelona 08921, Spain
| | - Dolores Barrón
- Department
de Nutrició, Ciències de l’alimentació
i Gastronomia, Universitat de Barcelona, Avda. Prat de la Riba, 171, Sta.
Coloma de Gramenet, Barcelona 08921, Spain
- Institut
de Recerca en Nutrició i Seguretat Alimentària de la
Universitat de Barcelona (INSA-UB), Barcelona 08007, Spain
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8
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Tan D, Zhang H, Tan S, Xue Y, Jia M, Zhu X, Wu H, Chen G. Differentiating ultra-high temperature milk and reconstituted milk using an untargeted peptidomic approach with chemometrics. Food Chem 2022; 394:133528. [PMID: 35749883 DOI: 10.1016/j.foodchem.2022.133528] [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: 01/06/2022] [Revised: 05/21/2022] [Accepted: 06/17/2022] [Indexed: 11/04/2022]
Abstract
An untargeted peptide profiling based on ultra-performance liquid chromatography quadrupole time-of flight mass spectrometry with chemometrics was performed to differentiate ultra-high temperature processed milk and reconstituted milk. Thirty-three marker peptides were identified, primarily released from the C- or N-terminal of β-casein and αs1-casein. These peptides were produced by heating and protease hydrolysis. Additional heating and storage time experiments showed that the level of 18 marker peptides increased with heat load and storage time, whereas 15 peptides were solely influenced by heat load. The peptides from β-casein showed higher sensitivity to thermal stress compared to those from αs1-casein. Additionally, eight modified peptides of casein were identified as indicators of milk thermal processing. The identified marker peptides can distinguish ultra-high temperature processed milk and reconstituted milk, and are suitable for monitoring heating processes and storage of milk.
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Affiliation(s)
- Dongfei Tan
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China; Institute of Agro-product Safety and Nutrition, Tianjin Academy of Agricultural Sciences (TAAS), Tianjin 300192, China
| | - Hongda Zhang
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Sijia Tan
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Yi Xue
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
| | - Man Jia
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Xiaoyu Zhu
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Huaxing Wu
- Baijiu Science and Research Center, Sichuan Swellfun Co., Ltd., Chengdu 610036, China.
| | - Gang Chen
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China.
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9
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Zhang R, Jia W, Shi L. A Comprehensive Review on the Development of Foodomics-Based Approaches to Evaluate the Quality Degradation of Different Food Products. FOOD REVIEWS INTERNATIONAL 2022. [DOI: 10.1080/87559129.2022.2077362] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Rong Zhang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi’an, China
| | - Wei Jia
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi’an, China
| | - Lin Shi
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi’an, China
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10
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Medeiros I, Fernandez-Novo A, Astiz S, Simões J. Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries. Vet Sci 2022; 9:125. [PMID: 35324853 PMCID: PMC8954633 DOI: 10.3390/vetsci9030125] [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: 01/25/2022] [Revised: 03/04/2022] [Accepted: 03/07/2022] [Indexed: 02/04/2023] Open
Abstract
This work aimed to review the important aspects of the dairy industry evolution at herd level, interrelating production with health management systems. Since the beginning of the industrialization of the dairy cattle sector (1950s), driven by the need to feed the rapidly growing urban areas, this industry has experienced several improvements, evolving in management and technology. These changes have been felt above all in the terms of milking, rearing, nutrition, reproductive management, and design of facilities. Shortage of labor, emphasis on increasing farm efficiency, and quality of life of the farmers were the driving factors for these changes. To achieve it, in many areas of the world, pasture production has been abandoned, moving to indoor production, which allows for greater nutritional and reproductive control of the animals. To keep pace with this paradigm in milk production, animal health management has also been improved. Prevention and biosecurity have become essential to control and prevent pathologies that cause great economic losses. As such, veterinary herd health management programs were created, allowing the management of health of the herd as a whole, through the common work of veterinarians and farmers. These programs address the farms holistically, from breeding to nutrition, from prevention to consultancy. In addition, farmers are now faced with a consumer more concerned on animal production, valuing certified products that respect animal health and welfare, as well as environmental sustainability.
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Affiliation(s)
- Ivo Medeiros
- Veterinary and Animal Research Centre (CECAV), Department of Veterinary Sciences, School of Agricultural and Veterinary Sciences, University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal;
| | - Aitor Fernandez-Novo
- Department of Veterinary Medicine, School of Biomedical and Health Sciences, Universidad Europea de Madrid, C/Tajo s/n, Villaviciosa De Odón, 28670 Madrid, Spain;
| | - Susana Astiz
- Animal Reproduction Department, National Institute of Agronomic Research (INIA), Puerta De Hierro Avenue s/n, CP, 28040 Madrid, Spain;
| | - João Simões
- Veterinary and Animal Research Centre (CECAV), Department of Veterinary Sciences, School of Agricultural and Veterinary Sciences, University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal;
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11
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12
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Hyuk Suh J. Critical review: metabolomics in dairy science - evaluation of milk and milk product quality. Food Res Int 2022; 154:110984. [DOI: 10.1016/j.foodres.2022.110984] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/20/2021] [Accepted: 12/27/2021] [Indexed: 12/13/2022]
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13
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Sharma H, Ozogul F, Bartkiene E, Rocha JM. Impact of lactic acid bacteria and their metabolites on the techno-functional properties and health benefits of fermented dairy products. Crit Rev Food Sci Nutr 2021:1-23. [PMID: 34845955 DOI: 10.1080/10408398.2021.2007844] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
After conversion of lactose to lactic acid, several biochemical changes occur such as enhanced protein digestibility, fatty acids release, and production of bioactive compounds etc. during the fermentation process that brings nutritional and quality improvement in the fermented dairy products (FDP). A diverse range of lactic acid bacteria (LAB) is being utilized for the development of FDP with specific desirable techno-functional attributes. This review contributes to the knowledge of basic pathways and changes during fermentation process and the current research on techniques used for identification and quantification of metabolites. The focus of this article is mainly on the metabolites responsible for maintaining the desired attributes and health benefits of FDP as well as their characterization from raw milk. LAB genera including Lactobacillus, Streptococcus, Leuconostoc, Pediococcus and Lactococcus are involved in the fermentation of milk and milk products. LAB species accrue these benefits and desirable properties of FDP producing the bioactive compounds and metabolites using homo-fermentative and heterofermentative pathways. Generation of metabolites vary with incubation and other processing conditions and are analyzed and quantified using highly advanced and sophisticated instrumentation including nuclear magnetic resonance, mass-spectrometry based techniques. Health benefits of FDP are mainly possible due to the biological roles of such metabolites that also cause technological improvements desired by dairy manufacturers and consumers.
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Affiliation(s)
- Heena Sharma
- Food Technology Lab, Dairy Technology Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Fatih Ozogul
- Department of Seafood Processing Technology, Faculty of Fisheries, University of Cukurova, Adana, Turkey
| | - Elena Bartkiene
- Institute of Animal Rearing Technologies, Faculty of Animal Sciences, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - João Miguel Rocha
- Laboratory for Process Engineering, Environment, Biotechnology and Energy (LEPABE), Department of Chemical Engineering (DEQ), Faculty of Engineering, University of Porto FEUP), Porto, Portugal
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14
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Zhu D, Kebede B, McComb K, Hayman A, Chen G, Frew R. Milk biomarkers in relation to inherent and external factors based on metabolomics. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2020.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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15
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Application of Spectroscopic Techniques to Evaluate Heat Treatments in Milk and Dairy Products: an Overview of the Last Decade. FOOD BIOPROCESS TECH 2021. [DOI: 10.1007/s11947-021-02607-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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16
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Sanchez LJ, Zhu D, Frew R, Kebede B. Optimization of nuclear magnetic resonance and gas chromatography-mass spectrometry-based fingerprinting methods to characterize goat milk powder. J Dairy Sci 2020; 104:102-111. [PMID: 33189291 DOI: 10.3168/jds.2020-18467] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 08/25/2020] [Indexed: 11/19/2022]
Abstract
This study is the first to provide a comprehensive characterization of the liquid and volatile fractions of whole goat milk powder (GMP). Robust nuclear magnetic resonance (NMR)- and gas chromatography-mass spectrometry (GC-MS)-based chemical fingerprinting methods were optimized and implemented. The untargeted 1H-NMR analysis resolved 44 metabolites in the liquid fractions of GMP. The NMR fingerprinting technique effectively identified metabolites coming from the aliphatic, sugar, and aromatic regions that can be important in defining the technological properties and quality of the GMP. The untargeted headspace gas chromatography-mass spectrometry fingerprinting was able to detect a total of 50 volatiles including alkanes, ketones, alcohols, aromatics, alkenes, aldehydes, esters, acid, and sulfur compounds. The GMP was dominated by volatiles in the alkane group, while only a few esters were detected. Goat milk is a premium product and vulnerable to fraudulent activities such as adulteration or counterfeit. Therefore, proper characterization and identification is a crucial first step to verify its authenticity and quality.
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Affiliation(s)
| | - Dan Zhu
- Department of Chemistry, University of Otago, Dunedin 9016, New Zealand
| | - Russell Frew
- Department of Chemistry, University of Otago, Dunedin 9016, New Zealand
| | - Biniam Kebede
- Department of Food Science, University of Otago, Dunedin 9016, New Zealand.
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