Accuracy of the FT-NIR Method in Evaluating the Fat Content of Milk Using Calibration Models Developed for the Reference Methods According to Röse-Gottlieb and Gerber

Mlček, Jiří­; Dvořák, Lukáš; Šustová, Květoslava; Szwedziak, K.

doi:10.5740/jaoacint.16-0107

Cited by 6 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The diffuse scattered irradiation is converted by a suitable optical device to the spectroscope detector (Machovič and Novák, 1998). In general and according to the results of other authors (Tsenkova et al, 1999;Kukačková et al, 2000;Jankovská and Šustová, 2003;Hanuš et al, 2009Hanuš et al, , 2014Mlček et al, 2016), the reliability of fat contents in raw milk (in terms of the gradual decreasing of individual differences (variability) in standard deviation value between routine and reference method results) by routine methods (in practical use under the conditions of their today technical design) is growing in the following order: IR spectroscopy with filter technology and in mid-range of spectrum = IR spectroscopy with whole spectrum and FT in mid-range of spectrum > IR spectroscopy in the near-range spectrum ≥ turbidimetric method > ultrasound method. The reliability order is also given by a growing correlation between coefficients of routine and reference results of milk fat in the same sources.…”

Section: Nmrsupporting

confidence: 55%

“…NIR and MIR Feng et al, 2013) are widespread for determination milk parameters, respectively milk fat (Bogomolov et al, 2017). For example, a study by Mlček et al (2016) reveals the determination of fat in milk using NIR which is calibrated by two routine methods (Gerber and Röse-Gottlieb). Nowadays, apparatuses based on MIR spectroscopy are the most used in industrial laboratories (e.g.…”

Section: Routine Methodsmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Determination of Milk Fat: Development, Quality Control Measures, and Application

Kala¹,

Samková²,

Pecová³

et al. 2018

Acta Univ. Agric. Silvic. Mendelianae Brun.

View full text Add to dashboard Cite

Milk fat content is an important indicator of milk quality because of nutritional and technological aspects of dairying. In this sense the milk fat determination is important practice procedure. The work goal was to do an effective overview and comparison of reference and routine methods of fat determination during their development. Nowadays, there exist a number of methods for determining milk fat content. Reference methods require accurate analysis in compliance with the International Standard ISO, whereas routine methods perform analysis using routine instrumental techniques for faster and cheaper results with acceptable accuracy. Quality control measures have a significant role for result determination reliability and they include internal quality controls, external quality controls, precision of evaluation, and blank samples. In conclusion, due to continuous development and improvement, routine methods will be used more often.

show abstract

Section: Nmrsupporting

confidence: 55%

Section: Routine Methodsmentioning

confidence: 99%

An Overview of Determination of Milk Fat: Development, Quality Control Measures, and Application

Kala¹,

Samková²,

Pecová³

et al. 2018

Acta Univ. Agric. Silvic. Mendelianae Brun.

View full text Add to dashboard Cite

show abstract

“…With the FT-NIR method in combination with a dedicated software, a narrower spectra band than IR is used and most of the statistical operation is automated and performed without the user input. In all methods, freeze-dried sample is preferred, but wet yeast cells should be possible to be analysed, too, because there are examples of measuring fat in water solution like milk [20]. In the future, the technique could be also used to evaluate lipid classes and/or, fatty acid composition and level of oxidation in addition to total fat content similarly as described in [12, 21].…”

Section: Discussionmentioning

confidence: 99%

“…The advantage of FT-NIR compared to classical NIR spectroscopy is that it is faster, as it allows simultaneous measurement over the whole wavelength range, is more sensitive as there is a lower background noise, and has a higher precision [16]. Both IR and NIR spectroscopy techniques have been used before, for example, to analyse lipids in the human body in a non-invasive way [17], lipid content and type in plants [18], to determine olive oil quality [19], or to analyse lipids in milk [20], yeasts [21, 22] and moulds [23]. FT-NIR could hence also be a possible method to analyse yeast cell total fat content in a non-destructive way without the need for prior lipid extraction and the use of organic solvents.…”

Section: Introductionmentioning

confidence: 99%

FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts

Chmielarz

Sampels

Blomqvist

et al. 2019

Biotechnol Biofuels

View full text Add to dashboard Cite

Background Lipid extraction for quantification of fat content in oleaginous yeasts often requires strong acids and harmful organic solvents; it is laborious and time-consuming. Therefore, in most cases just endpoint measurements of lipid accumulation are performed and kinetics of intracellular lipid accumulation is difficult to follow. To address this, we created a prediction model using Fourier-transform near-infrared (FT-NIR) spectroscopy. This method allows to measure lipid content in yeast. Methods The FT-NIR calibration sets were constructed from spectra of freeze-dried cells of the oleaginous yeasts Rhodotorula toruloides CBS 14, Lipomyces starkeyi CBS 1807 and Yarrowia lipolytica CBS 6114. The yeast cells were obtained from different cultivation conditions. Freeze-dried cell pellets were scanned using FT-NIR in the Multi Purpose Analyser (MPA) from Bruker. The obtained spectra were assigned corresponding to total fat content, obtained from lipid extraction using a modified Folch method. Quantification models using partial least squares (PLS) regression were built, and the calibration sets were validated on independently cultivated samples. The R. toruloides model was additionally tested on Rhodotorula babjevae DBVPG 8058 and Rhodotorula glutinis CBS 2387. Results The R 2 of the FT-NIR model for R. toruloides was 98%, and the root mean square error of cross-validation (RMSECV) was 1.53. The model was validated using a separate set of R. toruloides samples with a root mean square error of prediction (RMSEP) of 3.21. The R 2 of the Lipomyces model was 96%, with RMSECV 2.4 and RMSEP 3.8. The R 2 of the mixed model, including all tested yeast strains, was 90.5%, with RMSECV 2.76 and RMSEP 3.22, respectively. The models were verified by predicting the total fat content in newly cultivated and freeze-dried samples. Additionally, the kinetics of lipid accumulation of a culture were followed and compared with standard lipid extraction methods. Conclusions Using FT-NIR spectroscopy, we have developed a faster, less laborious and non-destructive quantification of yeast intracellular lipid content compared to methods using lipid extraction.

show abstract

“…MIR represents IR spectroscopy in the mid-region, with optical filter technology. FT-MIR represents IR spectroscopy of the whole spectrum in the mid-region through the Michelson interferometer and Fourier transformations, while FT-NIR is similar to FT-MIR represented in the near IR range (see, e.g., [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples

Samková

Špička

Hanuš³

et al. 2020

Animals

View full text Add to dashboard Cite

Rapid analytical methods can contribute to the expansion of milk fatty acid determination for various important practical purposes. The reliability of data resulting from these routine methods plays a crucial role. Bulk and individual milk samples (60 and 345, respectively) were obtained from Czech Fleckvieh and Holstein dairy cows in the Czech Republic. The correlation between milk fatty acid (FA) proportions determined by the routine method (infrared spectroscopy in the mid-region in connection with Fourier transformation; FT-MIR) and the reference method (gas chromatography; GC) was evaluated. To validate the calibration of the FT-MIR method, a linear regression model was used. For bulk milk samples, the correlation coefficients between these methods were higher for the saturated (SFAs) and unsaturated FAs (UFAs) (r = 0.7169 and 0.9232; p < 0.001) than for the trans isomers of UFAs (TFAs) and polyunsaturated FAs (PUFAs) (r = 0.5706 and 0.6278; p < 0.001). Similar results were found for individual milk samples: r = 0.8592 and 0.8666 (p < 0.001) for SFAs and UFAs, 0.1690 (p < 0.01) for TFAs, and 0.3314 (p < 0.001) for PUFAs. The correlation coefficients for TFAs and PUFAs were statistically significant but too low for practical analytical application. The results indicate that the FT-MIR method can be used for routine determination mainly for SFAs and UFAs.

show abstract

Accuracy of the FT-NIR Method in Evaluating the Fat Content of Milk Using Calibration Models Developed for the Reference Methods According to Röse-Gottlieb and Gerber

Cited by 6 publications

References 0 publications

An Overview of Determination of Milk Fat: Development, Quality Control Measures, and Application

An Overview of Determination of Milk Fat: Development, Quality Control Measures, and Application

FT-NIR: a tool for rapid intracellular lipid quantification in oleaginous yeasts

Comparison of Fatty Acid Proportions Determined by Mid-Infrared Spectroscopy and Gas Chromatography in Bulk and Individual Milk Samples

Contact Info

Product

Resources

About