Calibration of somatic cell count in milk based on near-infrared spectroscopy

Pravdova, V.; Walczak, Beata; Massart, D.L.; Kawano, Seiji; Toyoda, Kiyohiko; Tsenkova, Roumiana

doi:10.1016/s0003-2670(01)01373-3

Cited by 25 publications

(9 citation statements)

References 10 publications

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“…Aquaphotomics as a science was laid on a foundation provided by near infrared spectroscopy [5]. The breakthrough knowledge regarding the importance of water stemmed from the observation that NIR spectral data for milk of healthy and dairy animals with mammary gland inflammation (mastitis) differed at water absorbing bands (1440 and 1912 nm) [18,19,20,21]. The presence of disease in an organism influenced many biomolecules (fat, lactose, proteins, etc.…”

Section: Introduction To Aquaphotomicsmentioning

confidence: 99%

Aquaphotomics—From Innovative Knowledge to Integrative Platform in Science and Technology

2019

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Aquaphotomics is a young scientific discipline based on innovative knowledge of water molecular network, which as an intrinsic part of every aqueous system is being shaped by all of its components and the properties of the environment. With a high capacity for hydrogen bonding, water molecules are extremely sensitive to any changes the system undergoes. In highly aqueous systems—especially biological—water is the most abundant molecule. Minute changes in system elements or surroundings affect multitude of water molecules, causing rearrangements of water molecular network. Using light of various frequencies as a probe, the specifics of water structure can be extracted from the water spectrum, indirectly providing information about all the internal and external elements influencing the system. The water spectral pattern hence becomes an integrative descriptor of the system state. Aquaphotomics and the new knowledge of water originated from the field of near infrared spectroscopy. This technique resulted in significant findings about water structure-function relationships in various systems contributing to a better understanding of basic life phenomena. From this foundation, aquaphotomics started integration with other disciplines into systematized science from which a variety of applications ensued. This review will present the basics of this emerging science and its technological potential.

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Section: Introduction To Aquaphotomicsmentioning

confidence: 99%

Aquaphotomics—From Innovative Knowledge to Integrative Platform in Science and Technology

2019

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“…13,14 likewise, methods utilising the visible and short wavelength nIr (vis/SWnIr) region have shown potential for detecting mastitis of whole milk obtained from individual cows. 15 However, the spectra in the visible range are greatly affected by the colour of the sample as well as the detection sensitivity of the spectrophotometer. It has been difficult to evaluate the effect of particular wavelengths in vis/SWnIr on Scc determination.…”

mentioning

confidence: 99%

Near Infrared Spectroscopy Using Short Wavelengths and Leave-One-Cow-Out Cross-Validation for Quantification of Somatic Cells in Milk

Tsenkova

Meilina

Kuroki

et al. 2009

Journal of Near Infrared Spectroscopy

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A short wavelength near infrared (NIR) analysis method for somatic cell count (SCC) determination in unhomogenised raw milk was developed. NIR spectra (700-1100 nm) of unhomogenised milk samples from 14 cows during days 7 to 36 of their lactation were meas-their lactation were meas-lactation were measured for two consecutive years. Measurements from animals with different physiological conditions (healthy and mastitic) were included. A "leave-one-cow-out" cross-validation partial least square (PLS) regression model for SCC in the raw milk was developed. Good correlation (R 2 = 0.76) was observed between estimated and reference SCC levels in milk samples when the differential spectra and SCC reference values were used for developing the PLS model. The NIR estimation achieved a standard error of 0.3 LogSCC. The results were well within the range needed for real-time monitoring of milk on a daily basis. Thus, the NIR method may prove to be a valuable tool for monitoring somatic cells in routine milk samples analysed for dairy cow health management.

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“…Fluid fat and protein reflectance 800-1100 nm Huang et al 27 fat and protein transflectance 1100-2500 nm Wang et al 35 fat and protein transmittance 1100-2500 nm purnomoadi et al 29 fat, protein and lactose transmittance 800-1100 nm Šašić & ozaki 30 unhomogenised milk composition transmittance 700-2400 nm tsenkova et al 31 unhomogenised milk composition transmittance 1100-2400 nm tsenkova et al 32 Somatic cell count transmittance 400-1100 nm pravdova et al 28 Somatic cell count transflectance 1100-2500 nm tsenkova et al 33 Somatic cell count transmittance 700-1100 nm tsenkova et al 34 reported that two-dimensional (2d) correlation spectroscopy in the nIr region could be used for the analysis of fat and protein in milk; this procedure revealed the existence of a number of hidden bands and also helped explain why certain wavelengths were selected in chemometric calibration models. 2d correlation spectroscopy enables spectral information not readily accessible from one-dimensional spectra to be obtained by spreading spectral peaks over a second dimension.…”

Section: Countrymentioning

confidence: 99%

Better Quality Food and Beverages: The Role of near Infrared Spectroscopy

Woodcock

Downey

O’Donnell

2008

Journal of Near Infrared Spectroscopy

135

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Non-destructive food testing is becoming increasingly important due to expanding automation and the incorporation of new and more efficient processes in the food industry. The quality and safety of food are the main points of interest. It is important to have a technology which will allow for a high throughput and a short response time to increase process efficiency and reduce waste. In order for this equipment to be integrated with the existing infrastructure, it should be robust and capable of functioning in varying environments. Near infrared (NIR) spectroscopy provides several advantages compared with traditional analytical methods; it is fast and non-destructive, it requires little or no sample preparation, it can provide simultaneous determination of multiple components per measurement, it has a remote sampling capability and it can provide real-time information in a process stream. Thus, NIR spectroscopy provides the ideal technology needed for fast and efficient food analysis. This review reports recently published (in the last 10 years) applications of NIR spectroscopy in both raw and prepared foods. It highlights the ability of NIR spectroscopy to assess food and beverage composition, functional properties, quality attributes, regional and varietal differences and contribute to food safety and consumer confidence.

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Calibration of somatic cell count in milk based on near-infrared spectroscopy

Cited by 25 publications

References 10 publications

Aquaphotomics—From Innovative Knowledge to Integrative Platform in Science and Technology

Aquaphotomics—From Innovative Knowledge to Integrative Platform in Science and Technology

Near Infrared Spectroscopy Using Short Wavelengths and Leave-One-Cow-Out Cross-Validation for Quantification of Somatic Cells in Milk

Better Quality Food and Beverages: The Role of near Infrared Spectroscopy

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