scholarly journals Feasibility of Near-Infrared Spectroscopy to Detect and to Quantify Adulterants in Cow Milk

2007 ◽  
Vol 23 (7) ◽  
pp. 907-910 ◽  
Author(s):  
Sumaporn KASEMSUMRAN ◽  
Warunee THANAPASE ◽  
Artaya KIATSOONTHON
2015 ◽  
Vol 68 (3) ◽  
pp. 357-365 ◽  
Author(s):  
Fernando Cámara-Martos ◽  
Joao Almeida Lopes ◽  
Rafael Moreno-Rojas ◽  
Fernando Pérez-Rodríguez

2021 ◽  
Vol 14 (1) ◽  
pp. 30-36
Author(s):  
Patricia IWEKA ◽  
Shuso KAWAMURA ◽  
Tomohiro MITANI ◽  
Takashi KAWAGUCHI ◽  
Shigenobu KOSEKI

2019 ◽  
Vol 28 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Mohammad Asaduzzaman ◽  
Martin Kerschbaumer ◽  
Martina Bodner ◽  
Nabil Haman ◽  
Matteo Scampicchio

The present study aims to demonstrate the potential use of short-wave near infrared spectroscopy for the quality control of raw cow milk samples, collected from high mountain areas. The sampling plan comprised three farms, all located within the same Alpine region (South Tyrol, Italy), but located at different altitudes (1900 m, 1050 m and 950 m a.s.l). Each farm used a similar extensive grassland-based farming system. For comparison, raw milk samples were also collected from a farm located in the valley (Milan, Italy), at 200 m a.s.l. and subjected to an intensive farming system. From each location, the samples were collected 10 times within one month of production. All the milk samples were analysed by diffuse trans-reflectance in the wavelength range from 850 to 1350 nm. Principal component analysis of the spectra revealed that the short-wave near infrared bands, respectively, 847, 1084, and 1095 nm, were the most important to distinguish milk between farms. The signal intensities of these wavelengths were used to build a multivariate control chart based on the Hotelling T2 statistic. The results showed that short-wave near infrared spectroscopy can be successfully used to monitor milk products in a fast, simple and on-line way.


2011 ◽  
Vol 21 (No. 4) ◽  
pp. 123-128 ◽  
Author(s):  
R. Jankovská ◽  
K. Šustová

In this work, the major components (total solids, fat, protein, casein, urea nitrogen, lactose, and somatic cells) were determined in cow milk by near-infrared spectroscopy. Fifty calibration samples of milk were analysed by reference methods and by FT NIR spectroscopy in reflectance mode at wavelengths ranging from 4000 to 10&nbsp;000&nbsp;cm<sup>&ndash;1 </sup>with 100 scan. Each sample was analysed three times and the average spectrum was used for calibration. Partial least squares (PLS) regression was used to develop calibration models for the milk components examined. Determined were the highest correlation coefficients for total solids (0.928), fat (0.961), protein (0.985), casein (0.932), urea nitrogen (0.906), lactose (0.931), and somatic cells (0.872). The constructed calibration models were validated by full cross validation. The results of this study indicated that NIR spectroscopy is applicable for a rapid analysis of milk composition. &nbsp;


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