[1] Y. Pu, D. Pérez-Marín, N. O’Shea, A. Garrido-Varo, “Recent Advances in Portable and Handheld NIR Spectrometers and Applications in Milk, Cheese and Dairy Powders,” Foods, 2021, doi: 10.3390/foods10102377.
[2] H. He, D.-W. Sun, H. Pu, L. Chen, L. Lin, “Applications of Raman spectroscopic techniques for quality and safety evaluation of milk: A review of recent developments,” Crit. Rev. Food Sci. Nutr., 2019, doi: 10.1080/10408398.2018.1528436.
[3] L. Jiang, M. Hassan, S. Ali, H. Li, R. Sheng, Q. Chen, “Evolving trends in SERS-based techniques for food quality and safety: A review,” Trends Food Sci. Technol., 2021, doi: 10.1016/j.tifs.2021.04.006.
[4] M. Li,um-Barrios, G. M. Soto-Zarazúa, A. Escamilla-García, M. Toledano-Ayala, G. Macías-Bobadilla, D. Jauregui-Vazquez, “Optical Methods Based on Ultraviolet, Visible, and Near-Infrared Spectra to Estimate Fat and Protein in Raw Milk: A Review,” Sensors, 2020, doi: 10.3390/s20123356.
[6] C. Sen, P. Ray, M. Bhattacharyya, “A critical review on metabolomic analysis of milk and milk products,” Int. J. Dairy Technol., 2020, doi: 10.1111/1471-0307.12745.
[7] M. A. Farag, M. Tanios, S. AlKarimy, H. Ibrahim, H. A. Guirguis, “Biosensing approaches to detect potential milk contaminants: a comprehensive review,” Food Addit. Contam. Part A, 2021, doi: 10.1080/19440049.2021.1914864.
[8] D. C. S. Z. Ribeiro et al., “Determination of the lactose content in low-lactose milk using Fourier-transform infrared spectroscopy (FTIR) and convolutional neural network,” Heliyon, 2023, doi: 10.1016/j.heliyon.2023.e12848.
[9] W. Li, et al., “Rapid quantification of goat milk adulteration with cow milk using Raman spectroscopy and chemometrics,” 2022, doi: 10.21203/rs.3.rs-1826753/v1.
[10] P. Rostron, D. Gerber, “Raman Spectroscopy, a review,” Int. J. Eng. Tech. Res., 2016.
[11] B. J. S. C. Olson, J. Markwell, “Assays for Determination of Protein Concentration,” Curr. Protoc. Protein Sci., 2007, doi: 10.1002/0471140864.ps0304s48.
[12] D. Yang, Y. Ying, “Applications of Raman Spectroscopy in Agricultural Products and Food Analysis: A Review,” Appl. Spectrosc. Rev., 2011, doi: 10.1080/05704928.2011.593216.
[13] R. M. El-Abassy, P. J. Eravuchira, P. Donfack, B. Von Der Kammer, A. Materny, “Fast determination of milk fat content using Raman spectroscopy,” Vib. Spectrosc., 2011, doi: 10.1016/j.vibspec.2010.07.001.
[14] R. M. El-Abassy, P. J. Eravuchira, P. Donfack, B. Von Der Kammer, A. Materny, “Direct Determination of Unsaturation Level of Milk Fat Using Raman Spectroscopy,” Appl. Spectrosc., 2012, doi: 10.1366/11-06327.
[15] Y. Yao, et al., “Milk fat globules by confocal Raman microscopy: Differences in human, bovine and caprine milk,” Food Res. Int., 2016, doi: 10.1016/j.foodres.2015.12.017.
[16] L. Silveira, E. D. C. M. Motta, R. A. Zángaro, M. T. T. Pacheco, C. J. De Lima, L. H. Moreira, “Characterization of nutritional parameters in bovine milk by Raman spectroscopy with least squares modeling,” Instrum. Sci. Technol., 2016, doi: 10.1080/10739149.2015.1055578.
[17] R. Ullah, et al., “Infant gender-based differentiation in concentration of milk fats using near infrared Raman spectroscopy,” J. Raman Spectrosc., 2017, doi: 10.1002/jrs.5047.
[18] کتاب صنعت شیر، ترجمه فرهاد فرهنودی،
[19] P. Freire, A. Zambrano, A. Zamora, M. Castillo, “Thermal Denaturation of Milk Whey Proteins: A Comprehensive Review on Rapid Quantification Methods Being Developed and Implemented,” 2022, doi: 10.3390/dairy3030036.
[20] Y. Huang, J. Gu, G. Xiang, J. Xu, S. Fu, H. Gong, “Detection of total protein in milk using phosphomolybdic acid-mediated surface-enhanced Raman spectroscopy: Total protein detection in milk by SERS,” J. Raman Spectrosc., 2016, doi: 10.1002/jrs.4812.
[21] X. X. Han, B. Zhao, Y. Ozaki, “Surface-enhanced Raman scattering for protein detection,” Anal. Bioanal. Chem., 2009, doi: 10.1007/s00216-009-2702-3.
[22] L. He, et al., “Detection of a Foreign Protein in Milk Using Surface-Enhanced Raman Spectroscopy Coupled with Antibody-Modified Silver Dendrites,” Anal. Chem., 2011, doi: 10.1021/ac1032353.
[23] M. Becker, C. Budich, V. Deckert, D. Janasek, “Isotachophoretic free-flow electrophoretic focusing and SERS detection of myoglobin inside a miniaturized device,” The Analyst, 2009, doi: 10.1039/B816717F.
[24] Y. Kang, M. Si, Y. Zhu, L. Miao, G. Xu, “Surface-enhanced Raman scattering (SERS) spectra of hemoglobin of mouse and rabbit with self-assembled nano-silver film,” Spectrochim. Acta A Mol. Biomol. Spectrosc., 2013, doi: 10.1016/j.saa.2013.01.098.
[25] F. Hadizadeh, M. Hassanpour Moghadam, S. A. Mohajeri, “Application of molecularly imprinted hydrogel for the preparation of lactose-free milk,” J. Sci. Food Agric., 2013, doi: 10.1002/jsfa.5757.
[26] H. Vaskova, M. Buckova, “Measuring the lactose content in milk,” MATEC Web Conf., 2016, doi: 10.1051/matecconf/20167605011.
[27] P. H. Rodrigues Júnior, et al., “FT-Raman and chemometric tools for rapid determination of quality parameters in milk powder: Classification of samples for the presence of lactose and fraud detection by addition of maltodextrin,” Food Chem., 2016, doi: 10.1016/j.foodchem.2015.09.055.
[28] J. K. F. Torres, et al., “Technological aspects of lactose-hydrolyzed milk powder,” Food Res. Int., 2017, doi: 10.1016/j.foodres.2017.08.043.
[29] A. Subramanian, V. Prabhakar, L. Rodriguez-Saona, “Analytical Methods: Infrared Spectroscopy in Dairy Analysis,” in Reference Module in Food Science, Elsevier, 2016, doi: 10.1016/B978-0-08-100596-5.00602-8.
[30] A. A. Bunaciu, H. Y. Aboul-Enein, V. D. Hoang, “RETRACTED: Vibrational spectroscopy used in milk products analysis: A review,” Food Chem., 2016, doi: 10.1016/j.foodchem.2015.10.016.
[31] M. Manley, V. Baeten, “Spectroscopic Technique: Near Infrared (NIR) Spectroscopy,” in Modern Techniques for Food Authentication, Elsevier, 2018, doi: 10.1016/B978-0-12-814264-6.00003-7.
[32] B. Aernouts, R. Van Beers, R. Watté, T. Huybrechts, J. Lammertyn, W. Saeys, “Visible and near-infrared bulk optical properties of raw milk,” J. Dairy Sci., 2015, doi: 10.3168/jds.2015-9630.
[33] J. Yin, Z. Siqi, H. Yang, Z. Zhou, “Theoretical Study of the Effect of Multi-Diameter Distribution on the Mie Scattering Characteristics of Milk Fat,” 2016,
https://www.semanticscholar.org/paper/Theoretical-Study-of-the-Effect-of-Multi-Diameter-Yin-Siqi/2ec9b65c6cf97c43035cfd0ff6f041a4cc625300.
[34] C. L. Crofcheck, F. A. Payne, M. P. Mengüç, “Characterization of milk properties with a radiative transfer model,” Appl. Opt., 2002, doi: 10.1364/AO.41.002028.
[35] C. Crofcheck, J. Wade, J. N. Swamy, M. M. Aslan, M. P. Mengüç, “Effect of Fat and Casein Particles in Milk on the Scattering of Elliptically Polarized Light,” Trans. ASAE, 2005, doi: 10.13031/2013.18488.
[36] J. D. S. Goulden, “Analysis of milk by infra-red absorption,” J. Dairy Res., 1964, doi: 10.1017/S0022029900018203.
[37] H. J. Luinge, E. Hop, E. T. G. Lutz, J. A. Van Hemert, E. A. M. De Jong, “Determination of the fat, protein and lactose content of milk using Fourier transform infrared spectrometry,” Anal. Chim. Acta, 1993, doi: 10.1016/0003-2670(93)85328-H.
[38] M. Pouliot, P. Paquin, R. Martel, S. F. Gauthier, Y. Pouliot, “Whey Changes during Processing Determined by Near-Infrared Spectroscopy,” J. Food Sci., 1997, doi: 10.1111/j.1365-2621.1997.tb04409.x.
[39] S. Šašić, Y. Ozaki, “Short-Wave Near-Infrared Spectroscopy of Biological Fluids. 1. Quantitative Analysis of Fat, Protein, and Lactose in Raw Milk by Partial Least-Squares Regression and Band Assignment,” Anal. Chem., 2001, doi: 10.1021/ac000469c.
[40] Y.-A. Woo, Y. Terazawa, J. Y. Chen, C. Iyo, F. Terada, S. Kawano, “Development of a New Measurement Unit (MilkSpec-1) for Rapid Determination of Fat, Lactose, and Protein in Raw Milk Using Near-Infrared Transmittance Spectroscopy,” Appl. Spectrosc., 2002, doi: 10.1366/0003702021955150.
[41] Y. Etzion, R. Linker, U. Cogan, I. Shmulevich, “Determination of Protein Concentration in Raw Milk by Mid-Infrared Fourier Transform Infrared/Attenuated Total Reflectance Spectroscopy,” J. Dairy Sci., 2004, doi: 10.3168/jds.S0022-0302(04)73405-0.
[42] S. Kawamura, M. Kawasaki, H. Nakatsuji, M. Natsuga, “Near-infrared spectroscopic sensing system for online monitoring of milk quality during milking,” Sens. Instrum. Food Qual. Saf., 2007, doi: 10.1007/s11694-006-9001-x.
[43] M. Kawasaki, S. Kawamura, M. Natsuga, “Near-infrared spectroscopic sensing system for on-line milk quality assessment in a milking robot,” J. Comput. Electron. Agric., 2008, doi: 10.1016/j.compag.2008.01.006.
[44] B. Aernouts, E. Polshin, J. Lammertyn, W. Saeys, “Visible and near-infrared spectroscopic analysis of raw milk for cow health monitoring: Reflectance or transmittance?,” J. Dairy Sci., 2011, doi: 10.3168/jds.2011-4354.
[45] A. Melfsen, E. Hartung, A. Haeussermann, “Accuracy of in-line milk composition analysis with diffuse reflectance near-infrared spectroscopy,” J. Dairy Sci., 2012, doi: 10.3168/jds.2012-5388.
[46] X. Feng, et al., “Portable analyzer for rapid analysis of total protein, fat and lactose contents in raw milk measured by non-dispersive short-wave near-infrared spectrometry,” Chem. Res. Chin. Univ., 2013, doi: 10.1007/s40242-013-2191-y.
[47] G. Niero, M. Penasa, P. Gottardo, M. Cassandro, M. De Marchi, “Short communication: Selecting the most informative mid-infrared spectra wavenumbers to improve the accuracy of prediction models for detailed milk protein content,” J. Dairy Sci., 2016, doi: 10.3168/jds.2015-10318.
[48] L. Ragni, E. Iaccheri, C. Cevoli, A. Berardinelli, “Spectral-sensitive Pulsed Photometry to predict the fat content of commercialized milk,” J. Food Eng., 2016, doi: 10.1016/j.jfoodeng.2015.10.017.
[49] X. Li, G. Huo, Y. Wang, H. Sun, Q. Kong, “Research on Rapid Detection Method of Protein and Fat in Raw Milk Based on Mid-infrared Spectrum,” Int. J. Multimed. Ubiquitous Eng., 2016, doi: 10.14257/ijmue.2016.11.10.12.
[50] R. Deidda, et al., “Vibrational spectroscopy in analysis of pharmaceuticals: Critical review of innovative portable and handheld NIR and Raman spectrophotometers,” TrAC Trends Anal. Chem., 2019, doi: 10.1016/j.trac.2019.02.035.
[51] A. Kalinin, V. Krivtsun, V. Krasheninnikov, S. Sadovskiy, H. Denisovich, H. Yurova, “Calibration Models for Multi-Component Quantitative Analyses of Dairy with the Use of Two Different Types of Portable near Infrared Spectrometer,” J. Infrared Spectrosc., 2008.
[52] R. F. Wolffenbuttel, “MEMS-based optical mini- and microspectrometers for the visible and infrared spectral range,” J. Micromechanics Microengineering, 2005, doi: 10.1088/0960-1317/15/7/003.
[53] P. Llano Suárez, A. Soldado, A. González-Arrojo, F. Vicente, B. De La Roza-Delgado, “Rapid on-site monitoring of fatty acid profile in raw milk using a handheld near infrared sensor,” J. Food Compos. Anal., 2018, doi: 10.1016/j.jfca.2018.03.003.
[54] A. Kalinin, V. Krasheninnikov, S. Sadovskiy, E. Yurova, “Determining the Composition of Proteins in Milk Using a Portable near Infrared Spectrometer,” J. Infrared Spectrosc., 2013.
[55] B. Zhou, J. F. Xiao, L. Tuli, H. W. Ressom, “LC-MS-based metabolomics,” Mol. Biosyst., 2012, doi: 10.1039/C1MB05350G.
[56] A. Doerr, “Global metabolomics,” Nat. Methods, 2017, doi: 10.1038/nmeth.4112.
[57] A. Kaufmann, P. Butcher, K. Maden, S. Walker, M. Widmer, “Reliability of veterinary drug residue confirmation: High resolution mass spectrometry versus tandem mass spectrometry,” Anal. Chim. Acta, 2015, doi: 10.1016/j.aca.2014.11.034.
[58] F. R. Pinu, “Early detection of food pathogens and food spoilage microorganisms: Application of metabolomics,” Trends Food Sci. Technol., 2016, doi: 10.1016/j.tifs.2016.05.018.
[59] S. Li, Y. Tian, P. Jiang, Y. Lin, X. Liu, H. Yang, “Recent advances in the application of metabolomics for food safety control and food quality analyses,” Crit. Rev. Food Sci. Nutr., 2021, doi: 10.1080/10408398.2020.1761287.
[60] J. C. Lindon, E. Holmes, J. K. Nicholson, “Metabonomics Techniques and Applications to Pharmaceutical Research & Development,” Pharm. Res., 2006, doi: 10.1007/s11095-006-0025-z.
[61] D. S. Wishart, “Metabolomics: applications to food science and nutrition research,” Trends Food Sci. Technol., 2008, doi: 10.1016/j.tifs.2008.03.003.
[62] J. L. Markley, et al., “The future of NMR-based metabolomics,” Curr. Opin. Biotechnol., 2017, doi: 10.1016/j.copbio.2016.08.001.
[63] K. Bingol, L. Bruschweiler-Li, D. Li, B. Zhang, M. Xie, R. Brüschweiler, “Emerging New Strategies for Successful Metabolite Identification in Metabolomics,” Bioanalysis, 2016, doi: 10.4155/bio-2015-0004.
[64] F. Hu, K. Furihata, Y. Kato, M. Tanokura, “Nondestructive Quantification of Organic Compounds in Whole Milk without Pretreatment by Two-Dimensional NMR Spectroscopy,” J. Agric. Food Chem., 2007, doi: 10.1021/jf062803x.
[65] J.-L. Ren, A.-H. Zhang, L. Kong, X.-J. Wang, “Advances in mass spectrometry-based metabolomics for investigation of metabolites,” RSC Adv., 2018, doi: 10.1039/C8RA01574K.
[66] A.-H. Emwas, et al., “Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review,” Metabolomics, 2015, doi: 10.1007/s11306-014-0746-7.
[67] J. N. Sampson, et al., “Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications,” Cancer Epidemiol. Biomarkers Prev., 2013, doi: 10.1158/1055-9965.EPI-12-1109.
[68] M. B. Pisano, P. Scano, A. Murgia, S. Cosentino, P. Caboni, “Metabolomics and microbiological profile of Italian mozzarella cheese produced with buffalo and cow milk,” Food Chem., 2016, doi: 10.1016/j.foodchem.2015.07.061.
[69] P. Scano, A. Murgia, F. M. Pirisi, P. Caboni, “A gas chromatography-mass spectrometry-based metabolomic approach for the characterization of goat milk compared with cow milk,” J. Dairy Sci., 2014, doi: 10.3168/jds.2014-8247.
[70] F. Courant, J.-P. Antignac, G. Dervilly-Pinel, B. Le Bizec, “Basics of mass spectrometry based metabolomics,” PROTEOMICS, 2014, doi: 10.1002/pmic.201400255.
[71] Y. Cai, Z.-J. Zhu, “A High-Throughput Targeted Metabolomics Workflow for the Detection of 200 Polar Metabolites in Central Carbon Metabolism,” in Microbial Metabolomics, Methods in Molecular Biology, vol. 1859, New York, NY: Springer, 2019, doi: 10.1007/978-1-4939-8757-3_15.
[72] C. Jang, L. Chen, J. D. Rabinowitz, “Metabolomics and Isotope Tracing,” Cell, 2018, doi: 10.1016/j.cell.2018.03.055.
[73] A. F. Nassar, T. Wu, S. F. Nassar, A. V. Wisnewski, “UPLC-MS for metabolomics: a giant step forward in support of pharmaceutical research,” Drug Discov. Today, 2017, doi: 10.1016/j.drudis.2016.11.020.
[74] U. K. Sundekilde, L. B. Larsen, H. C. Bertram, “NMR-Based Milk Metabolomics,” Metabolites, 2013, doi: 10.3390/metabo3020204.
[75] Y. B. Monakhova, T. Kuballa, J. Leitz, C. Andlauer, D. W. Lachenmeier, “NMR spectroscopy as a screening tool to validate nutrition labeling of milk, lactose-free milk, and milk substitutes based on soy and grains,” Dairy Sci. Technol., 2012, doi: 10.1007/s13540-011-0050-5.
[76] D. M. Swallow, “Genetics of Lactase Persistence and Lactose Intolerance,” Annu. Rev. Genet., 2003, doi: 10.1146/annurev.genet.37.110801.143820.
[77] C. Garcia, N. W. Lutz, S. Confort-Gouny, P. J. Cozzone, M. Armand, M. Bernard, “Phospholipid fingerprints of milk from different mammalians determined by 31P NMR: Towards specific interest in human health,” Food Chem., 2012, doi: 10.1016/j.foodchem.2012.05.111.
[78] Y. Chilliard, J. Rouel, C. Lerou, “Goat’s alpha-s1 casein genotype influences its milk fatty acid composition and delta-9 desaturation ratios,” Anim. Feed Sci. Technol., 2006, doi: 10.1016/j.anifeedsci.2006.05.025.
[79] M. Avondo, et al., “Effect of the αs1-casein genotype and its interaction with diet degradability on milk production, milk quality, metabolic and endocrine response of Girgentana goats,” Small Rumin. Res., 2015, doi: 10.1016/j.smallrumres.2014.10.015.
[80] O. A. O’Sullivan et al., “Metabolomic phenotyping validates the infant rhesus monkey as a model of human infant metabolism,” J. Pediatr. Gastroenterol. Nutr., 2013, doi: 10.1097/MPG.0b013e31827e1f07.
