scholarly journals Variation in fat globule size in bovine milk and its prediction using mid-infrared spectroscopy

2017 ◽  
Vol 100 (3) ◽  
pp. 1640-1649 ◽  
Author(s):  
A. Fleming ◽  
F.S. Schenkel ◽  
J. Chen ◽  
F. Malchiodi ◽  
R.A. Ali ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Bovine Milk ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Globule Size ◽  
Fat Globule

Investigation on the effectiveness of mid-infrared spectroscopy to predict detailed mineral composition of bulk milk

2018 ◽  
Vol 85 (1) ◽  
pp. 83-86 ◽  
Author(s):  
Massimo Malacarne ◽  
Giulio Visentin ◽  
Andrea Summer ◽  
Martino Cassandro ◽  
Mauro Penasa ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Mineral Composition ◽  
Prediction Models ◽  
External Validation ◽  
Bovine Milk ◽  
Least Squares Regression ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Bulk Milk ◽  
Mineral Components

This Research Communication investigated the potential of mid-infrared spectroscopy to predict detailed mineral composition of bovine milk. A total of 153 bulk milk samples were analysed for contents of Ca, Cl, Cu, Fe, K, Mg, Na, P and Zn. Also, soluble and colloidal fractions of Ca, Mg and P were quantified. For each milk sample the mid-infrared spectrum was captured and stored. Prediction models were developed using partial least squares regression and the accuracy of prediction was evaluated using both cross- and external validation. The proportion of variance explained by the prediction models in cross-validation ranged from 34% (Na) to 77% (total P), and it ranged from 13% (soluble Mg) to 54% (Cl−) in external validation. The ratio of the standard deviation of each trait to the standard error of prediction in external validation, which is an indicator of the practical utility of the prediction model, was low and never greater than 2. Results from the current study supported the limited usefulness of mid-infrared spectroscopy to predict minerals present in low concentration in bulk milk. For major mineral components, results from the present research did not match previous findings demonstrating the need for further studies using larger reference datasets.

scholarly journals Effectiveness of mid-infrared spectroscopy to predict fatty acid composition of Brown Swiss bovine milk

animal ◽  
2011 ◽  
Vol 5 (10) ◽  
pp. 1653-1658 ◽  
Author(s):  
M. De Marchi ◽  
M. Penasa ◽  
A. Cecchinato ◽  
M. Mele ◽  
P. Secchiari ◽  
...  
Keyword(s):  
Fatty Acid Composition ◽  
Infrared Spectroscopy ◽  
Fatty Acid ◽  
Acid Composition ◽  
Bovine Milk ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Brown Swiss

scholarly journals Prediction of coagulation properties, titratable acidity, and pH of bovine milk using mid-infrared spectroscopy

2009 ◽  
Vol 92 (1) ◽  
pp. 423-432 ◽  
Author(s):  
M. De Marchi ◽  
C.C. Fagan ◽  
C.P. O’Donnell ◽  
A. Cecchinato ◽  
R. Dal Zotto ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Bovine Milk ◽  
Titratable Acidity ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows

2015 ◽  
Vol 98 (9) ◽  
pp. 6620-6629 ◽  
Author(s):  
G. Visentin ◽  
A. McDermott ◽  
S. McParland ◽  
D.P. Berry ◽  
O.A. Kenny ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Dairy Cows ◽  
Bovine Milk ◽  
Spectroscopy Analysis ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Variation of iodine content in bovine milk and predictive ability of mid-infrared spectroscopy

2020 ◽  
Vol 102 ◽  
pp. 104602 ◽  
Author(s):  
Giovanni Niero ◽  
Marco Franzoi ◽  
Vania Vigolo ◽  
Massimo Peruzzo ◽  
Martino Cassandro ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Bovine Milk ◽  
Predictive Ability ◽  
Iodine Content ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy
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