NMR metabolite profiles of dairy: A review

Scano, Paola; Cusano, Erica; Caboni, Pierluigi; Consonni, Roberto

doi:10.1016/j.idairyj.2018.11.004

Cited by 21 publications

(15 citation statements)

References 41 publications

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“…As a result, a total of 46 non‐volatile polar metabolites including amino acids, carbohydrates, carbonyl compounds, organic acids and lipid derivatives were identified in the samples of this study (Figure S1). The identified metabolites are in agreement with those reported in bovine milk by other studies (Lamanna et al ., 2011; Sundekilde et al ., 2013b; Tenori et al ., 2018) and reviews (Sundekilde et al ., 2013a; Scano et al ., 2019) using 1 H‐NMR platform. It should be noted that these compounds were accountable for the labelling of 169 bins.…”

Section: Resultsmentioning

confidence: 99%

“…Metabolomics is recognised as an effective tool for comprehensive characterisation of small molecular weight metabolites (<1.5 kDa) present in complex biological systems including food matrices (Wishart, 2008). The application of NMR‐based and MS‐based metabolomics has been well acknowledged in milk and dairy research (Li et al ., 2017; Settachaimongkon et al ., 2017; Scano et al ., 2019). To date, over 400 metabolites identified in bovine milk have been published through the Livestock Metabolome Database (http://www.lmdb.ca) (Goldansaz et al ., 2017) and Milk Composition Database (http://www.mcdb.ca) (Foroutan et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

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Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Luangwilai

Duangmal

Chantaprasarn

et al. 2020

Int J of Food Sci Tech

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The objectives of this study were to characterise and compare non-volatile metabolite profiles of raw milk from healthy, subclinical and clinical mastitis cows using a non-targeted proton nuclear magnetic resonance (1 H-NMR) metabolomic approach. A total of 46 metabolites were identified. Multivariate analysis allowed discrimination of milk from healthy and mastitis cows according to their 1 H-NMR metabolite profiles. Significant increases in acetate, formate, lactate, benzoate, hippurate, b-hydroxybutyrate, valerate, alanine, histidine, isoleucine, leucine, N-acetylamino acid, phenylalanine, threonine and valine content were associated with extremely high somatic cell count and clinical mastitis status of the cows. Furthermore, significant rises in hippurate, valerate, N-acetylglucosamine, histidine, isoleucine and leucine content could be used as potential biomarker for indicating subclinical mastitis infection of the udders. Beside the existing biomarkers for diagnosing mastitis in literatures, we found additional candidate metabolites, such as alanine, valerate and N-acetylglucosamine, in correlation with mastitis status of Thai crossbred Holstein dairy cows.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Luangwilai

Duangmal

Chantaprasarn

et al. 2020

Int J of Food Sci Tech

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“…In fact, the presence of residual citric acid seemed to be detected in Pressato and Allevo _4 meanwhile it was at minimal content in Allevo samples. Milk citrate is metabolized by LAB into acetate, acetoin and diacetyl, which are aromatic molecular compounds contributing mostly to the flavor of ripened cheese [8].…”

Section: Resultsmentioning

confidence: 99%

“…This target requires the development of robust and comprehensively analytical techniques that should support self-inspections by producers or audits by independent certification bodies. Among chemometric techniques, high-resolution proton nuclear magnetic resonance ( 1 H NMR) spectroscopy represents a promising tool for metabolic fingerprinting of milk and derivatives as it is able to offer in a single experiment an overview of a wide range of metabolites or metabolite species [8]. This optical-method was applied to commercial samples of cow’s milk in order to discriminate their nutritional properties [9]; it was used to discriminate milk according to cows’ feeding systems [10] or productive method (organic vs. conventional) [11].…”

Section: Introductionmentioning

confidence: 99%

1H NMR Metabolic Profile to Discriminate Pasture Based Alpine Asiago PDO Cheeses

Segato

Caligiani

Contiero

et al. 2019

Animals

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Simple SummaryNowadays, alpine cheese from grazing dairy herds has a premium market value because consumers perceive its higher degree of healthiness and sustainability. The authenticity of pasture-based cheese should be safeguarded from local hay-based milk analogues. The study aimed at assessing the reliability of proton nuclear magnetic resonance (1H NMR) to discriminate pasture-based alpine Asiago PDO cheeses of different ripening time from similar hay-based samples processed in the same dairy plant. Cheeses were produced from raw milk collected from grazing or hay-fed alpine dairy herds and they were ripened for 2 (Pressato), 4 (Allevo_4), and 6 (Allevo_6) months. Samples of the cheeses were submitted to wet chemistry and nuclear magnetic resonance analysis. The outcomes of the 1H NMR spectroscopy were used in a multivariate discriminant procedure. Choline, 2,3-butanediol, lysine, and tyrosine and some residual sugar-like compounds were water-soluble biomarkers of cows’ feeding system. However, the application of 1H NMR based metabolomics was an effective fingerprinting method to correctly identify only cheese samples with the shortest ripening period. The classification of more aged cheese samples according to the cows’ feeding system was less accurate likely due to the chemical and biochemical changes induced by a prolonged maturation process.AbstractThe study was carried out in an alpine area of North-Eastern Italy to assess the reliability of proton nuclear magnetic resonance 1H NMR to fingerprint and discriminate Asiago PDO cheeses processed in the same dairy plant from upland pasture-based milk or from upland hay-based milk. Six experimental types of Asiago cheese were made from raw milk considering 2 cows’ feeding systems (pasture- vs. hay-based milk) and 3 ripening times (2 months, Pressato vs. 4 months, Allevo_4 vs. 6 months, Allevo_6). Samples (n = 55) were submitted to chemical analysis and to 1H NMR coupled with multivariate canonical discriminant analysis. Choline, 2,3-butanediol, lysine, tyrosine, and some signals of sugar-like compounds were suggested as the main water-soluble metabolites useful to discriminate cheese according to cows’ feeding system. A wider pool of polar biomarkers explained the variation due to ripening time. The validation procedure based on a predictive set suggested that 1H NMR based metabolomics was an effective fingerprinting tool to identify pasture-based cheese samples with the shortest ripening period (Pressato). The classification to the actual feeding system of more aged cheese samples was less accurate likely due to their chemical and biochemical changes induced by a prolonged maturation process.

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“…Recently, metabolomics has been well recognized in dairy research (Goldansaz et al, 2017). Different mass spectrometry (MS)-based, e.g., LC/MS, GC/MS, and CE/MS, and nuclear magnetic resonance (NMR)-based analytical platforms have been extensively applied for comprehensive characterization of small molecular weight metabolites present in raw and commercial milk (Foroutan et al, 2019;Goldansaz et al, 2017;Scano et al, 2019) as well as cheese and yogurt products (Afshari et al, 2020;Settachaimongkon et al, 2017). Still, information regarding the metabolite profile of bovine colostrum and its changes prior to the transition to mature milk is limited (Goldansaz et al, 2017;Li et al, 2020;Qi et al, 2018;Zhao et al, 2018).…”

Section: Changes In Bovine Colostrum Metabolites During Early Postpartum Period Revealed By 1 H-nmr Metabolomics Approachmentioning

confidence: 99%

Changes in Bovine Colostrum Metabolites during Early Postpartum Period Revealed by 1H-NMR Metabolomics Approach

Settachaimongkon

Wannakajeepiboon

Arunpunporn

et al. 2021

Trop. Anim. Sci. J.

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The objectives of this study were to characterize and compare non-volatile polar metabolite profiles of bovine colostrum, collected within 1 h and at 72 h after parturition, from crossbred Holstein cows raised in northeastern Thailand. The colostrum serum was characterized and compared using a non-targeted proton nuclear magnetic resonance (1H-NMR) technique combined with chemometric analysis. Results demonstrated that the main effect of post-parturition time provided a significant impact on the physical properties and major chemical constituents of colostrum, while the influence of farm origin and sampling month were likely undetectable. The 1H-NMR technique enabled to identify 45 non-volatile polar metabolites in the samples. Partial least-squares-discriminant analysis (PLS-DA) allowed discrimination of colostrum metabolome not only according to different times after parturition, but also the origins of the farm as well as sampling months. Differential metabolites were statistically identified as potential biomarkers accountable for the discrimination. Besides basic nutritive compounds (amino acids and sugars), several bioactive metabolites such as ascorbate, creatine, carnitine, choline, acetylcarnitine, N-acetylglucosamine, ornithine, orotate, and UPD-glucose could be successfully elucidated. Our finding reveals the application of non-targeted 1H-NMR metabolomics as an effective tool to assess the biomolecular profiles of bovine colostrum and their essential dynamics during the first three days after parturition.

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NMR metabolite profiles of dairy: A review

Cited by 21 publications

References 41 publications

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

1H NMR Metabolic Profile to Discriminate Pasture Based Alpine Asiago PDO Cheeses

Changes in Bovine Colostrum Metabolites during Early Postpartum Period Revealed by 1H-NMR Metabolomics Approach

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NMR metabolite profiles of dairy: A review

Cited by 21 publications

References 41 publications

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using 1H‐NMR combined with chemometric analysis

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using 1H‐NMR combined with chemometric analysis

1H NMR Metabolic Profile to Discriminate Pasture Based Alpine Asiago PDO Cheeses

Changes in Bovine Colostrum Metabolites during Early Postpartum Period Revealed by 1H-NMR Metabolomics Approach

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Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis