Analysis of ewe's milk by FT Near Infrared spectroscopy: measurement of samples on Petri dishes in reflectance mode

Šustová, Květoslava; Kuchtík, Jan; Kráčmar, Stanislav

doi:10.11118/actaun200654020131

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…Therefore, after the elimination of outliers, we observed a pattern of similarity between the values from the reference methods and those obtained with the instrumental methodologies for all parameters (Table 1; p>0.05). This fact is verified in other similar studies, for Fat% and Prot% (Aernouts et al, 2015;Šustová et al, 2007;Šustová et al, 2014) and SCC (Hanuš et al, 2009;Hanuš et al, 2014b;Krupa Rose et al, 2022).…”

Section: Resultssupporting

confidence: 79%

Instrumental Methods as Strategic Supporting Tools for Systematic Biochemical Analysis of Serra Da Estrela Sheep Milk

Oliveira¹,

Lemos²,

Brito³

et al. 2022

ASCS

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Section: Resultssupporting

confidence: 79%

Instrumental Methods as Strategic Supporting Tools for Systematic Biochemical Analysis of Serra Da Estrela Sheep Milk

Oliveira¹,

Lemos²,

Brito³

et al. 2022

ASCS

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“…Even though the DESIR method obtained poorer calibration statistics than the transflectance method, the accuracy of the former was fairly good; R 2 CV over 0.90 means an excellent capacity for quantitative analysis (Núñez-Sánchez et al 2002). Different authors had reported good R 2 CV for calibration equations for diverse constituents obtained for milk from different species: total casein, alphas, beta and kappa caseins from goat's milk (0·87, 0·86, 0·92 and 0·86, respectively; Díaz-Carrillo et al 1993); somatic cell count ( SCC ) from cow's milk (0·85, Tsenkova et al 2001); casein from cow's milk (0·96 to 0·98, Laporte & Paquin, 1999; 0·93, Šustová et al 2006). Particularly, Núñez-Sánchez et al (2002) compared the ability to predict milk constituents (casein, protein, fat, total solids and SCC) by NIRS with DESIR (reflectance) and with liquid samples (folded transmission) of ewe milk.…”

Section: Discussionmentioning

confidence: 99%

Prediction efficiency by near-infrared spectroscopy of immunoglobulin G in liquid and dried bovine colostrum samples

Rivero

Alomar

Valderrama

et al. 2016

Journal of Dairy Research

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The objective of this study was to compare the prediction efficiency of IgG concentration in bovine colostrum by NIRS, using liquid and dried (Dry-Extract Spectroscopy for Infrared Reflectance, DESIR) samples by transflectance and reflectance modes, respectively. Colostrum samples (157), obtained from 2 commercial Holstein dairy farms, were collected within the first hour after calving and kept at -20 °C until analysis. After thawing and homogenisation, a subsample of 500 mg of liquid colostrum was placed in an aluminium mirror transflectance cell (0·1 mm path length), in duplicate, to collect the spectrum. A glass fiber filter disc was infused with another subsample of 500 mg of colostrum, in duplicate, and dried in a forced-air oven at 60 °C for 20 min. The samples were placed in cells for dry samples to collect the spectra. The spectra in the VIS-NIR region (400-2500 nm) were obtained with a NIRSystems 6500 monochromator. Mathematical treatments, scatter correction treatments and number of cross-validation groups were tested to obtain prediction equations for both techniques. Reference analysis for IgG content was performed by radial immunodiffusion. The DESIR technique showed a higher variation in the spectral regions associated with water absorption bands, compared with liquid samples. The best equation for transflectance method (liquid samples) obtained a higher coefficient of determination for calibration (0·95 vs. 0·94, respectively) and cross validation (0·94 vs. 0·91, respectively), and a lower error of cross validation (9·03 vs. 11·5, respectively) than the best equation for reflectance method (DESIR samples). In final, both methods showed excellent capacity for quantitative analysis, with residual predictive deviations above 3. It is concluded that, regarding accuracy of prediction and time for obtaining results of IgG from bovine colostrum, NIRS analysis of liquid samples (transflectance) is recommended over dried samples (DESIR technique by reflectance).

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“…Stanovení těchto minoritních složek je důležité nejen v kontrole kvality mléka, ale zejména v kontrole zdravotního a výživového stavu dojnic (Famigli-Bergamini, 1987;Illek a Pechová, 1997). Pro určení mléčného složení (majoritní i minoritní složky) je v poslední době místy popisována a používána i metoda NIR-FT (Tsenkova et al, 2000;Kukačková, et al, 2000;Jankovská a Šustová, 2003;Kráčmar et al, 2004;Šustová et al, 2006.…”

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Result interpretation of experimental calibration for milk citric acid determination via infra-red spectroscopy (MIR-FT)

Hanuš¹,

Hulová²,

Genčurová³

et al. 2014

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Citric acid (KC) in milk is indicator of cow energy metabolism. Milk laboratories set up KC determination. A method can be infra-red analyse (MIR-FT). The goal was to develop a relevant method for reference sample preparation for MIR-FT (indirect method, Lactoscope FTIR and MilkoScan FT 6000) calibration. As reference was used a photometric method (c; 428 nm). KC was added (n = 3) into some reference milk samples (n = 10, bulk milk). Mean value was 9.220 ± 3.094 mmol . l−1 with variation range from 6.206 to 15.975 mmol . l−1. Recovery c was from 100.8 to 120.2 %. Correlation between c and MIR-FT were from 0.979 to 0.992 (P < 0.001). These were lower in the set of native milk samples (n = 7), from 0.751 (Lactoscope FTIR; P < 0.05) to 0.947 (MilkoScan FT 6000; P < 0.001) in comparison to original values from 0.981 to 0.992 (n = 10; P < 0.001). Correlations between calibrated MIR-FT instruments were from 0.958 to 1.0 (P < 0.001). Average recovery for instruments (n = 12) was 101.6 ± 18.1 %. The mean differences between c method and MIR-FT after calibration (n = 4) moved from −0.001 across zero to 0.037 %. Standard deviation of differences was from 0.0074 to 0.0187 % at MilkoScan FT 6000 and from 0.0105 to 0.0117 % for Lactoscope FTIR. Relative variability of differences (MIR-F (filter technology) and FT) for major components fat (T), proteins (B) and lactose (L) in total and minor components KC and free fatty acids (VMK) was estimated to 1.0 and 7.2 and 34.4 %. The KC result is inferior than T, B and L superior than VMK. Autocorrelation (0.042; P > 0.05) of results demonstrated the independence of consecutive measurements. Milk preservation effect amounted 0.2323 (P < 0.001) with bronopol and 0.0339 (P > 0.05) mmol . l−1 with dichromate. It was (3.0 and 0.44 %) practically negligible, redeemable via relevant calibration. The results of proficiency testing in post-calibration period and evaluation of double transport stress effect samples (difference was −0.006 ± 0.071 mmol . l−1 (P > 0.05)) demonstrated the useability for central calibration system. Milk KC results of MIR-FT calibration were good and can be suitable for practical screening.

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Analysis of ewe's milk by FT Near Infrared spectroscopy: measurement of samples on Petri dishes in reflectance mode

Cited by 7 publications

References 17 publications

Instrumental Methods as Strategic Supporting Tools for Systematic Biochemical Analysis of Serra Da Estrela Sheep Milk

Instrumental Methods as Strategic Supporting Tools for Systematic Biochemical Analysis of Serra Da Estrela Sheep Milk

Prediction efficiency by near-infrared spectroscopy of immunoglobulin G in liquid and dried bovine colostrum samples

Result interpretation of experimental calibration for milk citric acid determination via infra-red spectroscopy (MIR-FT)

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