Essais de l'appareil Milko-Scan 300 utilisé pour le dosage en série de la matière grasse et des protéines du lait

Grappin, R.; Jeunet, R.

doi:10.1051/lait:197655826

Cited by 17 publications

(5 citation statements)

References 6 publications

(3 reference statements)

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“…We visualized how quality and duration of homogenization affect size and distribution of fat droplets and its influence on the spectral response of human milk. Several researchers suggested that homogenization should reduce fat globule diameters to less than 3 μm to limit light scattering [ 24 , 25 ]. Figure 7 shows that we could achieve the appropriate droplet size after 30 s of homogenization.…”

Section: Discussionmentioning

confidence: 99%

Rapid measurement of macronutrients in breast milk: How reliable are infrared milk analyzers?

Fusch¹,

Rochow²,

Choi³

et al. 2015

Clinical Nutrition

112

156

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SUMMARYBackground & aimsSignificant biological variation in macronutrient content of breast milk is an important barrier that needs to be overcome to meet nutritional needs of preterm infants. To analyze macronutrient content, commercial infrared milk analyzers have been proposed as efficient and practical tools in terms of efficiency and practicality. Since milk analyzers were originally developed for the dairy industry, they must be validated using a significant number of human milk samples that represent the broad range of variation in macronutrient content in preterm and term milk. Aim of this study was to validate two milk analyzers for breast milk analysis with reference methods and to determine an effective sample pretreatment. Current evidence for the influence of (i) aliquoting, (ii) storage time and (iii) temperature, and (iv) vessel wall adsorption on stability and availability of macronutrients in frozen breast milk is reviewed.MethodsBreast milk samples (n = 1188) were collected from 63 mothers of preterm and term infants. Milk analyzers: (A) Near-infrared milk analyzer (Unity SpectraStar, USA) and (B) Mid-infrared milk analyzer (Miris, Sweden) were compared to reference methods, e.g. ether extraction, elemental analysis, and UPLC-MS/MS for fat, protein, and lactose, respectively.ResultsFor fat analysis, (A) measured precisely but not accurately (y = 0.55x + 1.25, r2 = 0.85), whereas (B) measured precisely and accurately (y = 0.93x + 0.18, r2 = 0.86). For protein analysis, (A) was precise but not accurate (y = 0.55x + 0.54, r2 = 0.67) while (B) was both precise and accurate (y = 0.78x + 0.05, r2 = 0.73). For lactose analysis, both devices (A) and (B) showed two distinct concentration levels and measured therefore neither accurately nor precisely (y = 0.02x + 5.69, r2 = 0.01 and y = −0.09x + 6.62, r2 = 0.02 respectively). Macronutrient levels were unchanged in two independent samples of stored breast milk (−20 °C measured with IR; −80 °C measured with wet chemistry) over a period of 14 months.ConclusionsMilk analyzers in the current configuration have the potential to be introduced in clinical routine to measure fat and protein content, but will need major adjustments.

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Section: Discussionmentioning

confidence: 99%

Rapid measurement of macronutrients in breast milk: How reliable are infrared milk analyzers?

Fusch¹,

Rochow²,

Choi³

et al. 2015

Clinical Nutrition

112

156

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“…Thirty-month-old non-lactating heifers were used in trial 1, 42-month-old lactating primiparous cows were used in trial 2 and 36-and 42-month-old lactating primiparous and multiparous cows, respectively, were used in trial 3. For trials 1 and 2, the animals were randomly assigned to 4 (trial 1) or 3 (trial 2) groups, each containing 5 animals of the same breed ( (Grappin and Jeunet, 1976) at each milking on the 2 d before exercise and 2 d afterwards.…”

Section: Animalsmentioning

confidence: 99%

Walking and dairy cattle performance

d'Hour¹,

Hauwuy²,

Coulon³

et al. 1994

Ann. Zootech.

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Summary — Differences in walking speed and milk yield were compared in dairy heifers and cows of 3 different breeds (Holstein, Montb6liarde, and Tarentaise) during 3 walking trials. Tarentaise cows walked faster than those of both other breeds. For walked distances of 5.6 and 3.2 km (trials 1 and 2, respectively) the mean walking speed of Tarentaises (1.71 and 1.43 m/s) was higher than for Montbéliardes (1.49 and 1.10 m/s) and-Holstein (1.50 and 1.23 m/s). In trial 2, the Holstein and the Montb6liarde breeds both required more encouragement to move forward (P < 0.05) than the Tarentaise breed. In trial 3, milk production, milk composition and blood metabolites were evaluated following walked distances of 0, 6.4, 9.6 and 12.8 km. Milk yield and protein decreased (P < 0.01 ) in proportion to the distance traveled by 1.9 kg/d and -51 g/d, respectively, after 12.8 km. In contrast, milk fat, milk protein and blood-free fatty acids increased (P < 0.01) by 4.6 g/kg, 1.8 g/kg and 0.4 mmolll, respectively, up to 12.8 km. Decreases in milk yield and protein were greater (P < 0.01 ) in Holstein cows than in the other 2 breeds. However, all cows regained their former level of milk yield within 3 d following the exercise. Five hours after walking, variation of glycemia was slight (P= 0.06) and the lactate level in the blood did not vary among walked distances. Only walked distances above 6.4 km brought about modifications in milk yield, milk composition and in blood-free fatty acids. These modifications were greater

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“…The first apparatus, an IRMA (Infrared Milk Analyzer, Grubb Parsons, Newcastle upon Tyne, UK) using a monochromator, was based on the principle of measuring direct absorption of the infrared energy at specific frequencies by carbonyl groups in the ester linkages of the fat molecules, by peptide linkages between amino acids of protein molecules, and by the O-H groups in lactose molecules. A second generation of infrared instrumentation has adopted the change from wavenumber selection by diffraction grating to optical filters (Grappin and Jeunet, 1976) and was largely used by Central milk laboratory testing, where both tank milk and individual-cow samples were tested. Fourier transform mid-infrared supplies complementary chemical information and allows a high throughput with high sensitivity in a short response time from a very small quantity of sample (Ghosh and Jayas, 2009).…”

Section: Introductionmentioning

confidence: 99%

Standardization of milk mid-infrared spectra from a European dairy network

Grelet¹,

Pierna²,

Dardenne

et al. 2015

Journal of Dairy Science

110

111

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The goal of this study was to find a procedure to standardize dairy milk mid-infrared spectra from different Fourier transform mid-infrared spectrophotometers (different brands or models) inside a European dairy network to create new farm-management indicators (e.g., fertility, health, feed, environmental impact) based on milk infrared spectra. This step is necessary to create common spectral databases, allowing the building of statistical tools, to be used by all instruments of the network. The method used was piecewise direct standardization (PDS), which matches slave-instrument spectra on master-instrument spectra. To evaluate the possibility of using common equations on different instruments, the PDS method was tested on a set of milk samples measured on each machine, and an equation predicting fat content of milk is applied on all. Regressions were performed between master and slaves fat predictions, before and after PDS. Bias and root mean square error between predictions were decreased after PDS, respectively, from 0.3781 to 0.0000 and from 0.4609 to 0.0156 (g of fat/100mL of milk). The stability over time of these results was confirmed by an application of the coefficients created by PDS 1 mo later on the slave spectra. These preliminary results showed that the PDS method permits a reduction of the inherent spectral variability between instruments, allowing the merging of Fourier transform mid-infrared milk spectra from different instruments into a common database, the creation of new types of dairy farm management indicators, and the use of these common calibrations for all Fourier transform mid-infrared instruments of the European dairy network.

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Essais de l'appareil Milko-Scan 300 utilisé pour le dosage en série de la matière grasse et des protéines du lait

Cited by 17 publications

References 6 publications

Rapid measurement of macronutrients in breast milk: How reliable are infrared milk analyzers?

Rapid measurement of macronutrients in breast milk: How reliable are infrared milk analyzers?

Walking and dairy cattle performance

Standardization of milk mid-infrared spectra from a European dairy network

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