Determination of nutritional health indexes of fresh bovine milk using near infrared spectroscopy

I.  Lobos-Ortega; N.  Pizarro-Aránguiz; N.L.  Urrutia; M.  Silva-Lemus; P.  Pavez-Andrades; I.  Subiabre-Riveros; D.  Torres-Püschel

doi:10.3989/gya.0450211

Autores/as

I. Lobos-Ortega Instituto de Investigaciones Agropecuarias INIA Remehue https://orcid.org/0000-0002-6152-3185
N. Pizarro-Aránguiz Instituto de Investigaciones Agropecuarias INIA https://orcid.org/0000-0002-7817-1577
N.L. Urrutia Instituto de Investigaciones Agropecuarias INIA Remehue https://orcid.org/0000-0002-6196-0465
M. Silva-Lemus Instituto de Investigaciones Agropecuarias INIA Remehue https://orcid.org/0000-0001-9123-8927
P. Pavez-Andrades Instituto de Investigaciones Agropecuarias INIA Remehue https://orcid.org/0000-0002-5219-4818
I. Subiabre-Riveros Instituto de Investigaciones Agropecuarias INIA Remehue https://orcid.org/0000-0002-1133-3367
D. Torres-Püschel Instituto de Investigaciones Agropecuarias INIA Remehue https://orcid.org/0000-0002-2207-7725

DOI:

https://doi.org/10.3989/gya.0450211

Palabras clave:

Ácido linoleico conjugado, Grasa láctea, Índices de salud, Nutrición humana, Quimiometría

Resumen

La leche bovina es uno de los alimentos más completos que existe. Durante la última década, se ha demostrado que los ácidos grasos de la leche pueden mejorar la salud humana, a través de la reducción del riesgo de enfermedades cardiovasculares y patologías asociadas. El objetivo de este estudio fue evaluar la factibilidad del análisis de reflectancia NIRS para predecir valor nutricional, composición de ácidos grasos e índices de salud de leche fresca de vacas de sistemas lecheros pastoriles. La predicción por NIRS del índice aterogénico y trombogénico, de ácidos grasos en muestras de leche fresca, fueron precisos. Por tanto, el modelo de calibración obtenido por NIRS representa una oportunidad para la cuantificación rutinaria de los ácidos grasos saludables de la leche como omega-3 y CLA, con aplicaciones en la industria lechera para el etiquetado nutricional y a nivel de lechería para el manejo de la alimentación de las vacas.

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Andueza D, Rouel J, Chilliard Y, Leroux C, Ferlay A. 2013. Prediction of the goat milk fatty acids by near infrared reflectance spectroscopy. Eur. J. Lipid Sci. Technol. 115, 612- 620. https://doi.org/10.1002/ejlt.201200315

Cécillon L, Barthés BG, Gomez C, Ertlen D, Genot V, Hedde M, Stevens a, Brun JJ. 2009. Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS). Eur. J. Soil Sci. 60, 770-784. https://doi.org/10.1111/j.1365-2389.2009.01178.x

Conzen P. 2006. Multivariate calibration a practical guide for developing methods in the quantitative analytical chemistry BrukerOptik GmbH. Ettlingen, Germany.

Coppa M, Ferlay A, Leroux C, Jestin M, Chilliard Y, Martin B, Andueza D. 2010. Prediction of milk fatty acid composition by near infrared reflectance spectroscopy. Int. Dairy J. 20, 182- 189. https://doi.org/10.1016/j.idairyj.2009.11.003

Coppa M, Revello- Chion A, Giaccone D, Ferlay A, Tabacco E, Borreani G. 2014. Comparison of near and medium infrared spectroscopy to predict fatty acid composition on fresh and thawed milk. Food Chem. 150, 40-57. https://doi.org/10.1016/j.foodchem.2013.10.087 PMid:24360418

Cruz-Hemandez C, Kramer JKG, Kraft J, Santercole V, Or-Rashid M, Deng Z, Dugan MER, Delmonte P, Yurawecz MP. 2006. Systematic analysis of trans and conjugated linoleic acids in the mil k and meat of ruminants. Chemistry. 3, 45-93. https://doi.org/10.1201/9781439822432.ch4

Den Besten G, Van Eunen K, Groen AK, Venema K, Reijngoud DJ, Bakker, B.M., 2013. The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism.J. Lipid Res.54 (9), 2325-2340. https://doi.org/10.1194/jlr.R036012 PMid:23821742 PMCid:PMC3735932

Den Hartigh, L. 2019. Conjugated Linoleic Acid Effects on Cancer, Obesity, and Atherosclerosis: A Review of Pre-Clinical and Human Trials with Current Perspectives. Nutrients. 11(2), 370. https://doi.org/10.3390/nu11020370 PMid:30754681 PMCid:PMC6413010

Delmonte P, Fardin Kia AR, Kramer JKG, Mossoba MM, Sedisky L, Rader J. 2011. Separation characteristics of fatty acid methy 1 esters using SLB-ILlll, a new ionic liquid coated capillary gas chromatographic column. J. Chromatogr. A. 1218, 545-554. https://doi.org/10.1016/j.chroma.2010.11.072 PMid:21176911

Ferlay A, Martin B, Pradel P, Coulon JB, Chilliard Y, 2006. Influence of grass-based diets on milk fatty acid composition and milk lipolytic system in Tarentaise and Montbéliarde cow breeds. J. Dairy Sci. 89, 4026-4041. https://doi.org/10.3168/jds.S0022-0302(06)72446-8

Givens DI. 2020. Milk Symposium review: The importance of milk and dairy foods. In the diets of infants, adolescents, pregnant women, adults, and the elderly. J. Dairy Sci. 103 (11), 9681-9699. https://doi.org/10.3168/jds.2020-18296 PMid:33076181

Gómez-Cortés, P., Juárez, M., and de la Fuente, M. A. 2018. Milk fatty acids and potential health benefits: An updated vision. Trends Food Sci. Technol. 81, 1-9. https://doi.org/10.1016/j.tifs.2018.08.014

González-Sáiz JM, Pizarro C, Díez I, Ramírez O, González-Navarro CJ, Sáiz-Abajo MJ, Reyes I. 2007. Monitoring of Alcoholic Fermentation of Onion Juice by NIR Spectroscopy: Valorization of Worthless Onions. J. Agric. Food Chem. 55, 2930-2936. https://doi.org/10.1021/jf0634101 PMid:17373817

Kramer J, Hernandez M, Cruz- Hernandez C, Kraft JY. 2008. Combining results of two GC separations partly achies determination of all cis and trans 16:1, 18:1, 18:2 and 18:3 except CLA isomers of milk fat as demostrated usin ag-ion SPE fractionation. Lipids. 43(3), 259-273. https://doi.org/10.1007/s11745-007-3143-4 PMid:18214567

Kuczyńska B, Puppel K, Gołębiewski M, Kordyasz M, Grodzki H, Brzozowski P. 2012. Comparison of fat and protein fractions of milk constituents in Montbéliarde and Polish Holstein-Friesian cows from one farm in Poland. Acta Vet. Brno. 81, 139-144. https://doi.org/10.2754/avb201281020139

Llano Suarez P, Soldado A, Gonzalez-Arrojo A, Vicente F, de la Roza-Delgado B. 2018. Rapid on-site monitoring of fatty acid profile in raw milk using a handheld near infrared sensor. J. Food Composit. Anal. 70, 1- 8. https://doi.org/10.1016/j.jfca.2018.03.003

Markey O, Vasilopoulou D, Givens DI, Lovegrove JA. 2014. Dairy and cardiovascular health: Friend or foe?. Nutr. Bulletin. 39, 161-171. https://doi.org/10.1111/nbu.12086 PMid:25400508 PMCid:PMC4207191

Marinoni L, Monti L, Barzaghi S, de la Roza-Delgado B. 2013. Quantification of casein fractions and of some of their genetic variants in phosphate buffer by Near Infrared spectroscopy. J. Near Infrared Spectrosc. 2, 385-394. https://doi.org/10.1255/jnirs.1072

Morales R, Lanuza F, Subiabre I, Carvajal A, Canto F, Ungerfeld E. 2015. A comparison of milk fatty acid profile among three different dairy production systems in Los Ríos District, Chile. Arch Med Vet. 47, 281-292. https://doi.org/10.4067/S0301-732X2015000300004

Nantapo CTW, Muchenje V, Hugo A. 2014. Atherogenicity index and health-related fatty acids in different stages of lactation from Friesian, Jersey and Friesian x Jersey cross cow milk under a pature-based dairy system. Food Chem. 146, 127-133. https://doi.org/10.1016/j.foodchem.2013.09.009 PMid:24176323

Núñez-Sánchez N, Martínez-Marín AL, Polvillo O, Fernández-Cabanás VM, Carrizosa J, Urrutia B, Serradilla JM. 2016. Near Infrared Spectroscopy (NIRS) for the determination of the milk fatty acid profile of goats. Food Chem. 190, 244-252. https://doi.org/10.1016/j.foodchem.2015.05.083 PMid:26212967

Núñez-Sánchez N, Acuti G, Branciari R, Ranucci D, Haouet N, Olivieri O, Trabalza-Marinucci M. 2020. Estimating fatty acid content and related nutritional indexes in ewe milk using different near infrared instruments. J. Food Composit. Anal. 88, 103427. https://doi.org/10.1016/j.jfca.2020.103427

Orellana C, Peña F, García A, Perea J, Martos J, Domenech V, Acero R. 2009. Carcass characteristics, fatty acid composition, and meat quality of Criollo Argentino and Braford steers raised on forage in a semi-tropical region of Argentina. Meat Sci. 81, 57-64. https://doi.org/10.1016/j.meatsci.2008.06.015 PMid:22063962

Park,Y, Pariza, M. 2007. Mechanisms of body fat modulation by conjugated linoleic acid (CLA). Food Res. Internat. 40 (3), 311-323. https://doi.org/10.1016/j.foodres.2006.11.002

Pilarczyk R, Wójcik J, Sablik, P, Czerniak P. 2015. Fatty acid profile and health lipid indices in the raw milk of Simmental and Holstein-Friesian cows from an organic, farm. S. Afr. J. Anim. Sci. 45(1), 30-38. https://doi.org/10.4314/sajas.v45i1.4

Pinto M, Rubilar A, Carrasco E, Shun Ah-Hen K, Brito C, Molina LH. 2002. Efecto estacional y del área geográfica en la composición de ácidos grasos en la leche de bovinos. Agro Sur. 30, 75-90. https://doi.org/10.4206/agrosur.2002.v30n2-09

Porep J, Kammerer D, Reinhold C. 2015. On- line application of near infrared (NIR) spectroscopy in food production. Trends Food Sci. Technol. 46, 211-230. https://doi.org/10.1016/j.tifs.2015.10.002

Preble I, Zhang Z, Kopp R, Garzotto M, Bobe G, Shannon J, Takata J. 2019. Dairy Product Consumption and Prostate Cancer Risk in the United States. Nutrients. 11(7), 1615. https://doi.org/10.3390/nu11071615 PMid:31315238 PMCid:PMC6683061

Reeves JB. 2000. Use of near infrared reflectance spectroscopy. In: J.P.F. D'Mello (ed). Farm animal metabolism an nutrition. CABI Publishing, Wallingford, UK. 185-207. https://doi.org/10.1079/9780851993782.0185

Rodríguez-Alcalá LM, Harte F, Fontecha J. 2009. Fatty acids profile and CLA isomers content of cow, ewe and goat milks processed by high pressure homogenization. Inno. Food Sci. Emerg. Technol. 10 (1), 32-36. https://doi.org/10.1016/j.ifset.2008.10.003

Salter, AM. 2013. Dietary fatty acids and cardiovascular disease. Animal. 7, 163-171. https://doi.org/10.1017/S1751731111002023 PMid:23031737

Santos-Silva J, Bessa R.J.B, Santos-Silva F. 2002. Effect of genotype, feeding system and slaughter weight on thequality of light lambsII. Fatty acid composition of meat Livest. Prod. Sci. 77, 187-194. https://doi.org/10.1016/S0301-6226(02)00059-3

Shingfield KJ, Capó M, Scollan ND. 2013. Recent developments in altering the fatty acid composition of ruminant-derived foods. Animal. 7, 132-162. https://doi.org/10.1017/S1751731112001681 PMid:23031638

Simopoulos AP. 2002. The importance of the ratio of omega-6/omega-3 essential fatty acids. Biomed. Pharmacother 56, 365-379. https://doi.org/10.1016/S0753-3322(02)00253-6

Siri-Tarino PW, Sun Q, Hu FB, Krauss RM. 2010. Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease. Am. J. Clin. Nutr. 91(3), 535-546. https://doi.org/10.3945/ajcn.2009.27725 PMid:20071648 PMCid:PMC2824152

Sun XQ, Gibbs SJ. 2012. Diurnal variation in fatty acid profiles in rumen digesta from dairy cows grazing high-quality pasture. Anim. Feed Sci. Tech. 177, 152-160. https://doi.org/10.1016/j.anifeedsci.2012.08.013

Thanh LP, Suksombat W. 2015. Milk yield, composition, and fatty acid profile in dairy cows fed a high concentrate diet blended with oil mixtures rich in polyunsaturated fatty acids. Asian Australas J. Anim. Sci. 28 (6), 796-806. https://doi.org/10.5713/ajas.14.0810 PMid:25925057 PMCid:PMC4412976

Ulbritch TLV, Southgate DAT. 1991. Coronary Heart Disease: Seven Dietary Factors. The Lancet. 338, 985-992. https://doi.org/10.1016/0140-6736(91)91846-M

Vargas-Bello-Pérez E, Fehrmann-Cartes K, Íñiguez-González J, Toro-Mujica P, and Garnsworthy, PC. 2015. Short communication: Chemical composition, fatty acid composition, and sensory characteristics of Chanco cheese from dairy cows supplemented with soybean and hydrogenated vegetable oils. J. Dairy Sci. 98, 1-7. https://doi.org/10.3168/jds.2014-8831 PMid:25465558

Williams P. 2014. The RPD statistic: a tutorial note. NIR News 25, 22-26. https://doi.org/10.1255/nirn.1419