Composition of bovine milk fat globules by confocal Raman microscopy

Gallier, Sophie; Gordon, Keith C.; Jiménez-Flores, Rafael; Everett, David W.

doi:10.1016/j.idairyj.2011.01.008

Cited by 98 publications

(114 citation statements)

References 32 publications

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“…Raman band 1747 cm -1 (C=O ester carbonyl) was taken as an internal standard for normalization because it does not exhibit any changes in the structure. Essential molecular assignments for the measured spectral range Table 1 and are in accordance with literature [7,8].…”

Section: Resultssupporting

confidence: 84%

Multivariate study of spectral data of oils

Vašková

Bučková

2017

MATEC Web Conf.

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Abstract. In this paper the study of structural differences and thermal degradation of edible oils during heating is presented. The study is performed on five types of vegetable oil: extra virgin olive oil, pomace olive oil, sunflower, canola and palm oil. The oils were measured by Raman spectroscopy. This method brings advantages as rapidity, independence on chemicals, provides specific information on chemical composition and structure of material and is able to detect structural changes. For the processing of large data sets multivariate analytical method as Principal component analysis and Cluster analysis are applied to find the patterns within the data. The evaluation of process of thermal degradation is also based on the major decomposition product of oxidized linoleate appearing in spectra via band 1640 cm -1 . Mathematically processed data indicate the least effect of heating for olive oils, the greatest degradation and loss of unsaturation for sunflower oil.

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Section: Resultssupporting

confidence: 84%

Multivariate study of spectral data of oils

Vašková

Bučková

2017

MATEC Web Conf.

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“…Unpasteurised cream was obtained by centrifugation of raw milk at 1030Âg, 10 min, and 20°C following the method of Gallier, Gordon, Jiménez-Flores, and Everett (2011). The raw cream was then washed three times with deionized water (1030Âg for 10 min, at 20°C) (Kathriarachchi, Leus, & Everett, 2014).…”

Section: Milk Fat Preparationmentioning

confidence: 99%

Interactions between milk fat globules and green tea catechins

2016

Self Cite

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“…McGoverin and co-authors (2010) proposed the use of Raman spectroscopy and multivariate calibration (PLS) for determination of lipids and proteins in milk powder; the results obtained were satisfactory when compared with the results of infrared spectroscopy, as described in literature (McGoverin et al 2010). Gallier et al (2011) investigated the size of fat globules in milk from cows of different breeds using confocal Raman microscopy. After the accident of melamine contaminated milk in China in 2008, Cheng et al (2010) proposed the use of Raman spectroscopy as an alternative method for rapid identification and quantification of melamine in milk.…”

Section: Introductionmentioning

confidence: 99%

Application of FT-Raman Spectroscopy and Chemometric Analysis for Determination of Adulteration in Milk Powder

Almeida

Oliveira

Stephani³

et al. 2012

Analytical Letters

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In this work, FT-Raman spectroscopy is explored as a rapid technique for the assessment of the milk powder quality. Based on information provided by Raman spectra of samples adulterated with starch and whey, a quantitative method is developed to identify the fraud, using Partial Least Squares regression (PLS). In regression models using PLS the results are satisfactory, and such models can be used to identify and quantify samples presenting whey and starch in milk powder at concentrations of 2.32% and 1.64% (w/w), respectively. In the whey determination, the obtained values in the PLS model of the new samples are compared with those obtained by the spectrophotometric method of acid ninhydrin. This result shows that there is no significant difference with the 95% level of confidence between the values provided by the PLS regression method and the acid ninhydrin. The present work shows Raman spectroscopy as an analytical tool which can be used in quality control of milk powder, even in fraud processes, and the calculated figures of merit such as sensitivity, accuracy, limit of detection and limit of quantification clearly demonstrate this potential use. Although the multivariate models developed are not strictly quantitative, especially for low concentrations, they can be used as screening methods for routine analysis, as showed by this work. The authors wish to thank CNPq, FAPEMIG, CAPES, and FINEP (Brazilian agencies) for financial support. This work is a collaboration research project of members of the Rede Mineira de Química (RQ-MG) supported by FAPEMIG.

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Composition of bovine milk fat globules by confocal Raman microscopy

Cited by 98 publications

References 32 publications

Multivariate study of spectral data of oils

Multivariate study of spectral data of oils

Interactions between milk fat globules and green tea catechins

Application of FT-Raman Spectroscopy and Chemometric Analysis for Determination of Adulteration in Milk Powder

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