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Niero G, Meoni G, Tenori L, Luchinat C, Visentin G, Callegaro S, Visentin E, Cassandro M, De Marchi M, Penasa M. Grazing affects metabolic pattern of individual cow milk. J Dairy Sci 2022; 105:9702-9712. [DOI: 10.3168/jds.2022-22072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022]
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2
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Occurrence of Polyphenols, Isoflavonoids, and Their Metabolites in Milk Samples from Different Cow Feeding Regimens. DAIRY 2022. [DOI: 10.3390/dairy3020024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
In this work, milk samples collected in a cohort of intensive dairy farms of the Po Valley (Italy) were screened for their (poly)-phenolic profile to check the occurrence of phenolic metabolites of biological interest. The selected dairy farms were previously classified on the basis of their cow feeding system, considering the utilization of corn silage as the main ingredient of the rations. Overall, ultra-high-pressure liquid chromatography coupled with mass spectrometry using an Orbitrap analyzer, followed by unsupervised and supervised statistics, allowed identifying clear different phenolic distributions in the milk samples. Accordingly, a great variability in the phenolic profiles of the different milk samples was observed, with two main phenolic clusters outlined by the unsupervised hierarchical clustering approach and not fully correlated to the nutritional strategy considered. The variables’ importance in the projection approach allowed selecting the most important metabolites, resulting in samples’ discrimination. Among the most discriminative compounds, we found phenolic metabolites (such as hippuric acid and 4-hydroxyhippuric acid), followed by lignans (such as enterolactone) and isoflavonoids (such as equol and O-desmethylangolensin). Taken together, our findings suggested that both the feeding systems and the ability of dairy cows to process parent phenolic compounds were the main factors providing the final (poly)-phenolic profile of the milk samples. Future targeted and ad hoc studies appear of great interest to evaluate the potential biological effects of these compounds on cow health.
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Bartáková K, Vorlová L, Dluhošová S, Borkovcová I, Bursová Š, Pospíšil J, Janštová B. Effect on Benzoic Acid Production of Yoghurt Culture and the Temperatures of Storage and Milk Heat Treatment in Yoghurts from Cow, Goat and Sheep Milk. Foods 2021; 10:foods10071535. [PMID: 34359405 PMCID: PMC8303823 DOI: 10.3390/foods10071535] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/25/2021] [Accepted: 06/29/2021] [Indexed: 12/03/2022] Open
Abstract
Yoghurts from cow, goat and sheep milk were produced and stored under defined conditions to monitor the influence of various factors on the benzoic acid content as determined by Ultra High Performance Liquid Chromatography (UHPLC). The highest level of benzoic acid was found in sheep yoghurt (43.26 ± 5.11 mg kg−1) and the lowest in cow yoghurt (13.38 ± 3.56 mg kg−1), with goat yoghurt (21.31 ± 5.66 mg kg−1) falling in between. Benzoic acid content did not show statistically significant variation until the second and third weeks of storage, and the dynamics of this variation varied depending on the type of yoghurt. The yoghurt culture containing different strains of Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus also affected the contents of benzoic acid. Further, the different storage temperatures (2 and 8 °C) as well as the temperatures used to milk heat treatment before yoghurt production (80, 85 and 90 °C) affected the amount of benzoic acid in different types of yoghurts.
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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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Meoni G, Tenori L, Luchinat C. Nuclear Magnetic Resonance-Based Metabolomic Comparison of Breast Milk and Organic and Traditional Formula Milk Brands for Infants and Toddlers. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2020; 24:424-436. [PMID: 32522087 DOI: 10.1089/omi.2019.0125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
In recent years, new formula milk (FM) products based on milk from farms that strictly adhere to the "organic farming" practices became available. However, little is known about the differences in nutritional profile of these organic formulae with respect to traditional ones. We comprehensively evaluated the metabolite profiles of FM with nuclear magnetic resonance (NMR)-based metabolomic analysis. Five commercial brands of organic and nonorganic formula liquid milk for infants (0-12 months) and toddlers (1-3 years) were analyzed, together with human milk (HM) samples. Proton NMR (1H NMR) spectroscopy mapped molecular characteristics of FM linked to different production techniques, and identified differences between FM and HM samples. We performed a metabolic fingerprint analysis using multivariate and univariate statistical techniques. A clear distinction is found among different commercial brands of the FM samples. In addition, several differences in metabolomic profiles of FM have been found in comparison with HM for the first time. Notably, it was possible to identify, both in the formulations for toddlers and for infants, metabolites that vary in concentration between the formulae produced with milk obtained according to organic farming techniques, and those produced using nonorganic milk. In particular, organic and nonorganic formulations are differentiated by the levels of glucose, methionine, o-phosphocholine, butyrate, hippurate, creatine, and dimethyl sulfone. Importantly, the HM appeared to differ from both organic and nonorganic brands in a context of metabolites. These findings inform efforts to design FM in ways that closely mimic HM, and guide research to differentiate organic and traditional FM.
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Affiliation(s)
| | - Leonardo Tenori
- Consorzio Interuniversitario Risonanze Magnetiche di Metalloproteine (CIRMMP), Florence, Italy
| | - Claudio Luchinat
- Centro Risonanze Magnetiche (CERM) and Department of Chemistry, University of Florence, Florence, Italy
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Potts DM, Peterson DG. Identification of small molecule flavor compounds that contribute to the somatosensory attributes of bovine milk products. Food Chem 2019; 294:27-34. [DOI: 10.1016/j.foodchem.2019.05.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 04/23/2019] [Accepted: 05/01/2019] [Indexed: 11/29/2022]
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7
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O’Callaghan TF, Vázquez-Fresno R, Serra-Cayuela A, Dong E, Mandal R, Hennessy D, McAuliffe S, Dillon P, Wishart DS, Stanton C, Ross RP. Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites 2018; 8:E27. [PMID: 29642378 PMCID: PMC6027121 DOI: 10.3390/metabo8020027] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 03/26/2018] [Accepted: 03/26/2018] [Indexed: 11/17/2022] Open
Abstract
The purpose of this study was to examine the effects of two pasture feeding systems-perennial ryegrass (GRS) and perennial ryegrass and white clover (CLV)-and an indoor total mixed ration (TMR) system on the (a) rumen microbiome; (b) rumen fluid and milk metabolome; and (c) to assess the potential to distinguish milk from different feeding systems by their respective metabolomes. Rumen fluid was collected from nine rumen cannulated cows under the different feeding systems in early, mid and late lactation, and raw milk samples were collected from ten non-cannulated cows in mid-lactation from each of the feeding systems. The microbiota present in rumen liquid and solid portions were analysed using 16S rRNA gene sequencing, while ¹H-NMR untargeted metabolomic analysis was performed on rumen fluid and raw milk samples. The rumen microbiota composition was not found to be significantly altered by any feeding system in this study, likely as a result of a shortened adaptation period (two weeks' exposure time). In contrast, feeding system had a significant effect on both the rumen and milk metabolome. Increased concentrations of volatile fatty acids including acetic acid, an important source of energy for the cow, were detected in the rumen of TMR and CLV-fed cows. Pasture feeding resulted in significantly higher concentrations of isoacids in the rumen. The ruminal fluids of both CLV and GRS-fed cows were found to have increased concentrations of p-cresol, a product of microbiome metabolism. CLV feeding resulted in increased rumen concentrations of formate, a substrate compound for methanogenesis. The TMR feeding resulted in significantly higher rumen choline content, which contributes to animal health and milk production, and succinate, a product of carbohydrate metabolism. Milk and rumen-fluids were shown to have varying levels of dimethyl sulfone in each feeding system, which was found to be an important compound for distinguishing between the diets. CLV feeding resulted in increased concentrations of milk urea. Milk from pasture-based feeding systems was shown to have significantly higher concentrations of hippuric acid, a potential biomarker of pasture-derived milk. This study has demonstrated that ¹H-NMR metabolomics coupled with multivariate analysis is capable of distinguishing both rumen-fluid and milk derived from cows on different feeding systems, specifically between indoor TMR and pasture-based diets used in this study.
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Affiliation(s)
- Tom F. O’Callaghan
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (T.F.O.); (C.S.)
- APC Microbiome Institute, University College Cork, T12 YT20 Cork, Ireland
| | - Rosa Vázquez-Fresno
- The Metabolomics Innovation Centre (TMIC), University of Alberta, Edmonton, AB T6G1C9, Canada; (R.V.-F.); (A.S.-C.); (E.D.); (R.M.); (D.S.W.)
| | - Arnau Serra-Cayuela
- The Metabolomics Innovation Centre (TMIC), University of Alberta, Edmonton, AB T6G1C9, Canada; (R.V.-F.); (A.S.-C.); (E.D.); (R.M.); (D.S.W.)
| | - Edison Dong
- The Metabolomics Innovation Centre (TMIC), University of Alberta, Edmonton, AB T6G1C9, Canada; (R.V.-F.); (A.S.-C.); (E.D.); (R.M.); (D.S.W.)
| | - Rupasri Mandal
- The Metabolomics Innovation Centre (TMIC), University of Alberta, Edmonton, AB T6G1C9, Canada; (R.V.-F.); (A.S.-C.); (E.D.); (R.M.); (D.S.W.)
| | - Deirdre Hennessy
- Teagasc Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (D.H.); (S.M.); (P.D.)
| | - Stephen McAuliffe
- Teagasc Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (D.H.); (S.M.); (P.D.)
- School of Biological Sciences, Queens University, Belfast BT7 1NN, Northern Ireland, UK
| | - Pat Dillon
- Teagasc Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (D.H.); (S.M.); (P.D.)
| | - David S. Wishart
- The Metabolomics Innovation Centre (TMIC), University of Alberta, Edmonton, AB T6G1C9, Canada; (R.V.-F.); (A.S.-C.); (E.D.); (R.M.); (D.S.W.)
| | - Catherine Stanton
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (T.F.O.); (C.S.)
- APC Microbiome Institute, University College Cork, T12 YT20 Cork, Ireland
| | - R. Paul Ross
- Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, Ireland; (T.F.O.); (C.S.)
- APC Microbiome Institute, University College Cork, T12 YT20 Cork, Ireland
- College of Science, Engineering and Food Science, University College Cork, T12 YT20 Cork, Ireland
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Boscari CN, Mazzuia GR, Wisniewski C, Borges KB, Figueiredo EC. Molecularly imprinted probe for solid-phase extraction of hippuric and 4-methylhippuric acids directly from human urine samples followed by MEKC analysis. Electrophoresis 2017; 38:1083-1090. [DOI: 10.1002/elps.201600382] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 12/06/2016] [Accepted: 12/06/2016] [Indexed: 11/11/2022]
Affiliation(s)
| | | | - Célio Wisniewski
- Institute of Exact Sciences; Federal University of Alfenas; Alfenas Brazil
| | - Keyller Bastos Borges
- Department of Natural Sciences; Federal University of São João del-Rei; São João del-Rei Brazil
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Inácio CT, Chalk PM. Principles and limitations of stable isotopes in differentiating organic and conventional foodstuffs: 2. Animal products. Crit Rev Food Sci Nutr 2015; 57:181-196. [DOI: 10.1080/10408398.2014.887056] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Schwendel BH, Wester TJ, Morel PCH, Tavendale MH, Deadman C, Shadbolt NM, Otter DE. Invited review: organic and conventionally produced milk-an evaluation of factors influencing milk composition. J Dairy Sci 2014; 98:721-46. [PMID: 25497795 DOI: 10.3168/jds.2014-8389] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 10/29/2014] [Indexed: 11/19/2022]
Abstract
Consumer perception of organic cow milk is associated with the assumption that organic milk differs from conventionally produced milk. The value associated with this difference justifies the premium retail price for organic milk. It includes the perceptions that organic dairy farming is kinder to the environment, animals, and people; that organic milk products are produced without the use of antibiotics, added hormones, synthetic chemicals, and genetic modification; and that they may have potential benefits for human health. Controlled studies investigating whether differences exist between organic and conventionally produced milk have so far been largely equivocal due principally to the complexity of the research question and the number of factors that can influence milk composition. A main complication is that farming practices and their effects differ depending on country, region, year, and season between and within organic and conventional systems. Factors influencing milk composition (e.g., diet, breed, and stage of lactation) have been studied individually, whereas interactions between multiple factors have been largely ignored. Studies that fail to consider that factors other than the farming system (organic vs. conventional) could have caused or contributed to the reported differences in milk composition make it impossible to determine whether a system-related difference exists between organic and conventional milk. Milk fatty acid composition has been a central research area when comparing organic and conventional milk largely because the milk fatty acid profile responds rapidly and is very sensitive to changes in diet. Consequently, the effect of farming practices (high input vs. low input) rather than farming system (organic vs. conventional) determines milk fatty acid profile, and similar results are seen between low-input organic and low-input conventional milks. This confounds our ability to develop an analytical method to distinguish organic from conventionally produced milk and provide product verification. Lack of research on interactions between several influential factors and differences in trial complexity and consistency between studies (e.g., sampling period, sample size, reporting of experimental conditions) complicate data interpretation and prevent us from making unequivocal conclusions. The first part of this review provides a detailed summary of individual factors known to influence milk composition. The second part presents an overview of studies that have compared organic and conventional milk and discusses their findings within the framework of the various factors presented in part one.
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Affiliation(s)
- B H Schwendel
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Tennent Drive, Palmerston North 4474, New Zealand.
| | - T J Wester
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Tennent Drive, Palmerston North 4474, New Zealand
| | - P C H Morel
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Tennent Drive, Palmerston North 4474, New Zealand
| | - M H Tavendale
- Animal Nutrition and Health, AgResearch Grasslands Research Centre, Tennent Drive, Palmerston North 4442, New Zealand
| | - C Deadman
- Fonterra Research Centre Palmerston North, Dairy Farm Road, Palmerston North 4442, New Zealand
| | - N M Shadbolt
- Institute of Agriculture and Environment, Massey University, Tennent Drive, Palmerston North 4474, New Zealand
| | - D E Otter
- Food and Bio-based Products, AgResearch Grasslands Research Centre, Tennent Drive, Palmerston North 4442, New Zealand
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11
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Carpio A, Bonilla-Valverde D, Arce C, Rodríguez-Estévez V, Sánchez-Rodríguez M, Arce L, Valcárcel M. Evaluation of hippuric acid content in goat milk as a marker of feeding regimen. J Dairy Sci 2013; 96:5426-34. [PMID: 23849634 DOI: 10.3168/jds.2012-6396] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2012] [Accepted: 05/27/2013] [Indexed: 11/19/2022]
Abstract
Organic producers, traders, and consumers must address 2 issues related to milk: authentication of the production system and nutritional differentiation. The presence of hippuric acid (HA) in goat milk samples has been proposed as a possible marker to differentiate the feeding regimen of goats. The objective of this work is to check the hypothesis that HA could be a marker for the type of feeding regimen of goats by studying the influence of production system (conventional or organic) and feeding regimen (with or without grazing fodder). With this purpose, commercial cow and goat milk samples (n=27) and raw goat milk samples (n=185; collected from different breeds, localizations, and dates) were analyzed. Samples were grouped according to breed, feeding regimen, production system, and origin to compare HA content by ANOVA and honestly significant difference Tukey test at a confidence level of ≥95%. Hippuric acid content was obtained by analyzing milk samples with capillary electrophoresis. This method was validated by analyzing part of the samples with HPLC as a reference technique. Sixty-nine raw goat milk samples (of the total 158 samples analyzed in this work) were quantified by capillary electrophoresis. In these samples, the lowest average content for HA was 7±3 mg/L. This value corresponds to a group of conventional raw milk samples from goats fed with compound feed. The highest value of this group was 28±10 mg/L, corresponding to goats fed compound feed plus grass. Conversely, for organic raw goat milk samples, the highest concentration was 67±14 mg/L, which corresponds to goats fed grass. By contrast, the lowest value of this organic group was 26±10 mg/L, which belongs to goats fed organic compounds. Notice that the highest HA average content was found in samples from grazing animals corresponding to the organic group. This result suggests that HA is a good marker to determine the type of goats feeding regimen; a high content of HA represents a diet based mainly or exclusively on eating green grass (grazing), independently of the production system. Hence, this marker would not be useful for the actual organic policies to distinguish organic milk under the current regulations, because organic dairy ruminants can be fed organic compound feed and conserved fodder without grazing at all.
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Affiliation(s)
- A Carpio
- Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, University of Córdoba, Córdoba, Spain
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Gavazzi F, Casazza AP, Depedro C, Mastromauro F, Breviario D. Technical improvement of the TBP (tubulin-based polymorphism) method for plant species detection, based on capillary electrophoresis. Electrophoresis 2013; 33:2840-51. [PMID: 23019101 DOI: 10.1002/elps.201200144] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Nowadays, feed and food safety and traceability are of primary importance. Hence, a correct labeling of the different products is highly desirable in general, but mandatory for those people who are suffering from eating disorders and food allergies. Among the technologies that have been developed for feed and food analysis, the patented tubulin-based polymorphism (TBP) method emerges as an easy, versatile, and inexpensive diagnostic tool. Initially used to fingerprint different plant species and varieties, TBP was then successfully applied to trace species in mixtures of plant origin such as commercial feeds. TBP is a DNA-based molecular marker, that makes use of PCR for the selective amplification of plant β-tubulin introns. Amplified fragments are then separated by PAGE and visualized by silver staining. We have now developed an improved version of TBP. Based on capillary electrophoresis and fluorescence detection, it makes the method automatic, more sensible, reproducible, and faster. Compared to the classic TBP, this new version allows to obtain a better data resolution and an easier interpretation of the results, clearing the way to large-scale feed/food diagnostics.
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Affiliation(s)
- Floriana Gavazzi
- Istituto di Biologia e Biotecnologia Agraria, Consiglio Nazionale delle Ricerche, Milan, Italy
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Piñero MY, Garrido-Delgado R, Bauza R, Arce L, Valcárcel M. Easy sample treatment for the determination of enrofloxacin and ciprofloxacin residues in raw bovine milk by capillary electrophoresis. Electrophoresis 2012; 33:2978-86. [DOI: 10.1002/elps.201200316] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2012] [Revised: 07/27/2012] [Accepted: 07/30/2012] [Indexed: 11/11/2022]
Affiliation(s)
| | - Rocío Garrido-Delgado
- Department of Analytical Chemistry; Institute of Fine Chemistry and Nanochemistry (IQFN); University of Córdoba; Córdoba; Spain
| | - Roberto Bauza
- Department of Chemistry; Faculty of Science; University of Zulia; Maracaibo; Venezuela
| | - Lourdes Arce
- Department of Analytical Chemistry; Institute of Fine Chemistry and Nanochemistry (IQFN); University of Córdoba; Córdoba; Spain
| | - Miguel Valcárcel
- Department of Analytical Chemistry; Institute of Fine Chemistry and Nanochemistry (IQFN); University of Córdoba; Córdoba; Spain
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Castro-Puyana M, García-Cañas V, Simó C, Cifuentes A. Recent advances in the application of capillary electromigration methods for food analysis and Foodomics. Electrophoresis 2011; 33:147-67. [DOI: 10.1002/elps.201100385] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2011] [Revised: 08/10/2011] [Accepted: 08/10/2011] [Indexed: 12/17/2022]
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