Building of prediction models by using Mid-Infrared spectroscopy and fatty acid profile to discriminate the geographical origin of sheep milk

LWT ◽  
2017 ◽  
Vol 75 ◽  
pp. 131-136 ◽  
Author(s):  
Marco Caredda ◽  
Margherita Addis ◽  
Ignazio Ibba ◽  
Riccardo Leardi ◽  
Maria Francesca Scintu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Fatty Acid ◽  
Fatty Acid Profile ◽  
Prediction Models ◽  
Geographical Origin ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Sheep Milk

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 Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil

2019 ◽  
Vol 70 (1) ◽  
pp. 290 ◽  
Author(s):  
O. Uncu ◽  
B. Ozen ◽  
F. Tokatli
Keyword(s):  
Infrared Spectroscopy ◽  
Fatty Acid ◽  
Sunflower Oil ◽  
Spectroscopic Method ◽  
Detection Methods ◽  
Safflower Oil ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Analysis Techniques ◽  
Infrared Spectroscopic

The oil industry is in need of rapid analysis techniques to differentiate mixtures of safflower-sunflower oils from pure oils. The current adulteration detection methods are generally cumbersome and detection limits are questionable. The aim of this study was to test the capability of a mid-infrared spectroscopic method to detect the adulteration of sunflower oil with safflower oil compared to fatty acid analysis. Mid-infrared spectra of pure oils and their mixtures at the 10–60% range were obtained at 4000–650 cm-1 wavenumber and fatty acid profiles were determined. Data were analyzed by multivariate statistical analysis techniques. The lowest level of detection was obtained with mid-infrared spectroscopy at 30% while the fatty acid profile could determine adulteration at around 60%. Adulteration levels were predicted successfully using PLS regression analysis of infrared data with R2 (calibration) = 0.96 and R2 (validation) = 0.93. As a rapid and minimum waste generating technique, mid-infrared spectroscopy could be a useful tool for the screening of raw material to detect safflower-sunflower oil mixtures.

Authentication of the Botanical and Geographical Origin of Honey by Mid-Infrared Spectroscopy

2006 ◽  
Vol 54 (18) ◽  
pp. 6873-6880 ◽  
Author(s):  
Kaspar Ruoff ◽  
Werner Luginbühl ◽  
Raphael Künzli ◽  
María Teresa Iglesias ◽  
Stefan Bogdanov ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Geographical Origin ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Fatty acid composition of milk from Holstein-Friesian, Brown Swiss, Simmental and Alpine Grey cows predicted by mid-infrared spectroscopy

2017 ◽  
Vol 16 (3) ◽  
pp. 380-389 ◽  
Author(s):  
Paolo Gottardo ◽  
Mauro Penasa ◽  
Federico Righi ◽  
Nicolas Lopez-Villalobos ◽  
Martino Cassandro ◽  
...  
Keyword(s):  
Fatty Acid Composition ◽  
Infrared Spectroscopy ◽  
Fatty Acid ◽  
Acid Composition ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Brown Swiss ◽  
Holstein Friesian

Determination of main raw material source in bar soaps using mid-infrared spectroscopy combined with classification tools

2021 ◽  
Vol 164 ◽  
pp. 106029
Author(s):  
Diego Maciel Gerônimo ◽  
Sheila Catarina de Oliveira ◽  
Frederico Luis Felipe Soares ◽  
Patricio Peralta-Zamora ◽  
Noemi Nagata
Keyword(s):  
Infrared Spectroscopy ◽  
Raw Material ◽  
Material Source ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy
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