Total antioxidant activity of bovine milk: Phenotypic variation and predictive ability of mid-infrared spectroscopy

Niero, Giovanni; Penasa, M.; Costa, Angela; Currò, Sarah; Visentin, Giulio; Cassandro, Martino; Marchi, Massimo De

doi:10.1016/j.idairyj.2018.08.014

Cited by 11 publications

(11 citation statements)

References 38 publications

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“…The average pTAA was maximum and minimum in second- (7.19 mmol/L TE) and first-parity cows (7.13 mmol/L TE), respectively. These values are consistent with results reported by Niero et al [ 18 ], who measured TAA on different types of commercial milk, and slightly greater than values obtained by Niero et al [ 12 ], who measured TAA using the reference spectrophotometric method on 1249 milk samples of HO cows.…”

Section: Resultssupporting

confidence: 92%

“…Detailed protein composition was predicted from milk MIR spectra using prediction models developed by Niero et al [ 13 ]; in particular, the coefficients of determination of the models in cross validation were 0.88, 0.60, 0.74, 0.37, and 0.47, and ratios of performance to deviation were 2.86, 1.60, 2.03, 1.30, and 1.34 for α-casein, β-casein, κ-casein, α-lactalbumin, and β-lactoglobulin, respectively. Regarding milk TAA, this new phenotype was predicted from milk MIR spectra using the prediction model developed by Niero et al [ 12 ] and thus full details on samples collection, analytical reference method, and the procedure to develop the model for TAA can be retrieved from those authors. Briefly, 1249 individual milk samples of HO cows were analysed for TAA through the reference spectrophotometric method and the prediction model was developed on the same dataset using partial least squares regression analysis.…”

Section: Methodsmentioning

confidence: 99%

“…The Mahalanobis distance between the data point (spectrum) and the centroid of spectra included in the calibration set was used to identify and remove spectral outliers from the dataset. Finally, pTAA values outside the range of the reference data used for calibrations [ 12 ] were discarded from the dataset.…”

Section: Methodsmentioning

confidence: 99%

“…Sources of phenotypic variation for milk TAA have been recently investigated by Niero el al. [ 12 ], who measured TAA through the spectrophotometric reference method in milk of Holstein (HO) cows. The same authors assessed the ability of mid-infrared (MIR) spectroscopy to predict this novel phenotype.…”

Section: Introductionmentioning

confidence: 99%

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Genetic and Non-Genetic Variation of Milk Total Antioxidant Activity Predicted from Mid-Infrared Spectra in Holstein Cows

Niero

Costa

Franzoi

et al. 2020

Animals

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Food antioxidants enhance products shelf life and stability during technological treatments through the maintenance of their physical and chemical properties. Moreover, they are endowed with several positive effects on human health, including cell membranes preservation, enzyme functionality, and DNA integrity. Milk has been described in relation to a wide array of fat soluble and water-soluble antioxidant compounds, in particular vitamin A, C, and E, lactoferrin and peptides derived from casein and whey proteins. The total antioxidant activity (TAA) of milk is a novel and scarcely explored trait, defined as the sum of antioxidant contributions of the aforementioned compounds. On this background, the aims of the present study were to investigate the variability of milk TAA on a large scale exploiting predictions obtained through mid-infrared (MIR) spectroscopy and to estimate genetic parameters of this trait in Holstein cows. Individual milk samples were collected between January 2011 and December 2018 during the routine milk recording procedure. Samples were analysed for gross composition through MIR spectroscopy and MIR spectra were stored. Milk TAA was then predicted (pTAA) from the stored milk MIR spectra (111,653 test-day records of 9519 cows in 344 herds) using the previously developed prediction model; considering the prediction accuracy, pTAA might be considered a proxy of the TAA determined through the reference method. Overall, pTAA averaged 7.16 mmoL/L of Trolox equivalents, showed a nadir around 40 days after calving and increased thereafter, following a linear trend up to the end of lactation. The lowest pTAA was observed in milk sampled from June to September. Milk pTAA was heritable (0.401 ± 0.015) and genetically associated to fat yield (0.366 ± 0.049), crude protein (CP) yield (0.238 ± 0.052), fat percentage (0.616 ± 0.022) and CP percentage (0.754 ± 0.015). The official selection index of Italian Holstein put the 49% of the emphasis on fat and protein yield and percentage; therefore, it derives that an indirect favourable selection for milk pTAA should be already in progress in Italian Holstein population.

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Section: Resultssupporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic and Non-Genetic Variation of Milk Total Antioxidant Activity Predicted from Mid-Infrared Spectra in Holstein Cows

Niero

Costa

Franzoi

et al. 2020

Animals

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“…These traits are currently combined in a selection index for 'cheeseability' in Italian Holstein and are also included in some Italian milk payment systems [26]. Milk total antioxidant activity has been predicted from milk spectra in different dairy species [27]; this feature may have positive impact on consumers' perception and thus the labeling would give an added value to the products. Recently, blood parameters have been predicted by MIRS from cow milk spectra [28], with R 2 CV of 0.63 for beta-hydroxybutyrate and 0.52 for nonesterified fatty acids; both beta-hydroxybutyrate and nonesterified fatty acids are indicators of hyperketonemia and are useful to identify cows at risk of ketosis.…”

Section: Application Of Infrared Spectroscopy In Milkmentioning

confidence: 99%

Novel applications of infrared technologies in dairy industry

Massimo¹,

Costa²,

Goi³

et al. 2019

Adv Techol

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Dairy industry is economically relevant in many countries, and milk and its derived products are important sources of nutrients both in developed and developing countries. Thus, the dairy industry is interested in the application of rapid and cost-effective technologies for raw product evaluation, processing control and labeling. One of the most widespread technologies for milk and dairy product analysis is the infrared spectroscopy, mainly in the mid-infrared (MIRS) and near-infrared (NIRS) spectra regions. Other than standard composition, the assessment of milk technological traits is of particular interest in Europe and, traditionally, milk coagulation traits and acidity, milk protein and mineral composition have been determined using time-consuming laboratory methods. Recently, the development of specific MIRS prediction models for such milk traits has allowed the collection of coagulation information at herd and population level for milk quality payment and genetic selection purposes, respectively. Therefore, MIRS technology offers the possibility to conduct largescale phenotypic, genetic and genomic studies, even through a posteriori prediction using historical milk spectra stored in the laboratories. Cheese provides essential nutrients such as fatty acids, minerals and vitamins, and its consumption in Europe has grown in the last decade. Nevertheless, due to the negative consequences of the Western diet on the cardiovascular system mainly related to the excessive intake of saturated fatty acids and sodium, the declaration of salt and saturated fatty acids contents in the product's label has become mandatory. In the last years, the dairy industry has successfully developed and implemented NIRS prediction models for at-line and inexpensive quantification of minerals and fatty acids of commercial cheeses in order to quickly incorporate this information on the label of dairy products. The development of MIRS and NIRS prediction models for milk and cheese traits has opened new opportunities in the field of dairy products, spanning from genetic selection to technological efficiency.

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Rapid quantification of royal jelly quality by mid-infrared spectroscopy coupled with backpropagation neural network

Chen

Guo

et al. 2023

Food Chemistry

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Total antioxidant activity of bovine milk: Phenotypic variation and predictive ability of mid-infrared spectroscopy

Cited by 11 publications

References 38 publications

Genetic and Non-Genetic Variation of Milk Total Antioxidant Activity Predicted from Mid-Infrared Spectra in Holstein Cows

Genetic and Non-Genetic Variation of Milk Total Antioxidant Activity Predicted from Mid-Infrared Spectra in Holstein Cows

Novel applications of infrared technologies in dairy industry

Rapid quantification of royal jelly quality by mid-infrared spectroscopy coupled with backpropagation neural network

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