Abstract
Objective
To develop partial least squares regression (PLSR) calibration models in combination with transmission infrared (TIR) spectroscopy for rapid and optimal quantification of human milk macronutrient concentrations.
Study design
Human milk samples (nā=ā306) were characterized simultaneously by reference chemical analytical methods and TIR spectroscopy. Reference macronutrient concentrations were linked to pre-processed spectra and divided into two (training and test) sets. PLSR was used to develop trial calibration models using training set, and the test set was used to assess the accuracy of the trial analytical methods.
Results
For the methods selected as optimal, the concordance correlation coefficients between reference and TIR-based methods were 0.93 for fat, 0.96 for protein, and 0.52 for lactose. The Bland-Altman plots showed no evidence of systematic bias between TIR and reference methods.
Conclusions
TIR spectroscopy provides the basis for accurate and rapid quantification of human milk fat and protein concentrations but is less accurate for measuring lactose concentration.
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References
LaKind JS, Wilkins AA, Berlin CM. Environmental chemicals in human milk: a review of levels, infant exposures and health, and guidance for future research. Toxicol Appl Pharmacol. 2004;198:184ā208.
Pines N, Mandel D, Mimouni F, Lev HM, Mangel L, Lubetzky R. The effect of between-breast differences on human milk macronutrients content. J Perinatol. 2016;36:549ā51.
Lonnerdal B. Effects of maternal dietary intake on human milk composition. J Nutr. 1986;116:499ā513.
Kent JC, Mitoulas LR, Cregan MD, Ramsay DT, Doherty DA, Hartmann PE. Volume and frequency of breastfeedings and fat content of breast milk throughout the day. Pediatrics. 2006;117:e387ā95.
Lemons JA, Moye L, Hall D, Simmons M. Differences in the composition of preterm and term human milk during early lactation. Pediatr Res. 1982;16:113ā7.
Arslanoglu S, Moro GE, Ziegler EE. WAPM Working Group on Nutrition. Optimization of human milk fortification for preterm infants: new concepts and recommendations. J Perinat Med. 2010;38:233ā8.
Rochow N, Fusch G, Choi A, Chessell L, Elliott L, McDonald K, et al. Target fortification of breast milk with fat, protein, and carbohydrates for preterm infants. J Pediatr. 2013;163:1001ā7.
Fusch G, Rochow N, Choi A, Fusch S, Poeschl S, Ubah AO, et al. Rapid measurement of macronutrients in breast milk: How reliable are infrared milk analyzers? Clin Nutr. 2015;34:465ā76.
Silvestre D, Fraga M, Gormaz M, Torres E, Vento M. Comparison of midāinfrared transmission spectroscopy with biochemical methods for the determination of macronutrients in human milk. Matern Child Nutr. 2014;10:373ā82.
Kotrri G, Fusch G, Kwan C, Choi D, Choi A, Al Kafi N, et al. Validation of correction algorithms for near-IR analysis of human milk in an independent sample setāeffect of pasteurization. Nutrients. 2016;8:119.
Lefier D, Grappin R, Pochet S. Determination of fat, protein, and lactose in raw milk by Fourier transform infrared spectroscopy and by analysis with a conventional filter-based milk analyzer. J AOAC Int. 1996;79:711ā7.
Smilowitz JT, Gho DS, Mirmiran M, German JB, Underwood MA. Rapid measurement of human milk macronutrients in the neonatal intensive care unit: accuracy and precision of Fourier transform mid-infrared spectroscopy. J Hum Lact. 2014;30:180ā9.
Casadio YS, Williams TM, Lai CT, Olsson SE, Hepworth AR, Hartmann PE. Evaluation of a mid-infrared analyzer for the determination of the macronutrient composition of human milk. J Hum Lact. 2010;26:376ā83.
Groh-Wargo S, Valentic J, Khaira S, Super DM, Collin M. Human milk analysis using mid-infrared spectroscopy. Nutr Clin Pract. 2016;31:266ā72.
Jensen RG, Clark RM. Methods of lipid analysis. J Pediatr Gastroenterol Nutr. 1984;3:296ā9.
Lƶnnerdal B, Smith C, Keen CL. Analysis of breast milk: current methodologies and future needs. J Pediatr Gastroenterol Nutr. 1984;3:290ā5.
Coppa GV, Gabrielli O, Pierani P, Catassi C, Carlucci A, Giorgi PL. Changes in carbohydrate composition in human milk over 4 months of lactation. Pediatrics. 1993;91:637ā41.
Riley CB, McClure JT, Low-Ying S, Shaw RA. Use of Fourier-transform infrared spectroscopy for the diagnosis of failure of transfer of passive immunity and measurement of immunoglobulin concentrations in horses. J Vet Intern Med. 2007;21:828ā34.
Savitzky A, Golay MJ. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem. 1964;36:1627ā39.
Barnes R, Dhanoa M, Lister S. Letter: Correction to the description of Standard Normal Variate (SNV) and De-Trend (DT) ransformations in Practical Spectroscopy with Applications in Food and everage Analysisā2nd Edition. J Infrared Spectrosc. 2004;1:185ā6.
Lillhonga T, Geladi P. Replicate analysis and outlier detection in multivariate NIR calibration, illustrated with biofuel analysis. Anal Chim Acta. 2005;544:177ā83.
Lawrence I, Lin KA. concordance correlation coefficient to evaluate reproducibility. Biometrics. 1989;45:255ā68.
Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. Statistician. 1983;32:307ā17.
Fearn T. Assessing calibrations: Sep, Rpd, Rer and R2. NIR News. 2002;13:12ā14.
Williams PC. Implementation of near-infrared technology. -Infrared Technol Agric Food Ind. 2001;2:145ā69.
Zaleska H, Tomasik P. Formation of carboxymethyl celluloseācasein complexes by electrosynthesis. Food Hydrocoll. 2002;16:215ā24.
Norris KH. Understanding and correcting the factors which affect diffuse transmittance spectra. NIR News. 2001;12:6ā9.
Bruni P, Iacussi M, Tosi G. FT-IR investigation on interactions between sugars and metal ionsāI. J Mol Struct. 1997;408:171ā6.
Shaw RA, Mantsch HH. Vibrational biospectroscopy: from plants to animals to humans. A historical perspective. J Mol Struct. 1999;480-1:1ā13.
Murray I. Near infrared reflectance analysis of forages. (Heresign W, Cole DJA, eds.), 141ā56 (Recent Advances in Animal Nutrition, Butterworths, London, UK, 1986).
Buffin R, Decullier E, De Halleux V, Loys C, Hays S, Studzinsky F, et al. Assessment of human milk composition using mid-infrared analyzers requires calibration adjustment. J Perinatol. 2017;37:552ā7.
Parat S, Groh-Wargo S, Merlino S, Wijers C, Super DM. Validation of mid-infrared spectroscopy for macronutrient analysis of human milk. J Perinatol. 2017;37:822ā6.
Luinge H, Hop E, Lutz E, Van Hemert J, De Jong E. Determination of the fat, protein and lactose content of milk using Fourier transform infrared spectrometry. Anal Chim Acta. 1993;284:419ā33.
Kandhro AA, Laghari AH, Mahesar SA, Saleem R, Nelofar A, Khan ST, et al. Application of attenuated total reflectance Fourier transform infrared spectroscopy for determination of cefixime in oral pharmaceutical formulations. Spectrochim Acta Part A. 2013;115:51ā6.
Sauer C, Kim J. Human milk macronutrient analysis using point-of-care near-infrared spectrophotometry. J Perinatol. 2011;31:339ā43.
Å aÅ”iÄ S, Ozaki Y. 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;73:64ā71.
Zhu M, Yang Z, Ren Y, Duan Y, Gao H, Liu B, et al. Comparison of macronutrient contents in human milk measured using midāinfrared human milk analyser in a field study vs. chemical reference methods. Matern Child Nutr. 2017;13:e12248.
Tsenkova R, Atanassova S, Toyoda K, Ozaki Y, Itoh K, Fearn T. Near-infrared spectroscopy for dairy management: measurement of unhomogenized milk composition. J Dairy Sci. 1999;82:2344ā51.
Acknowledgements
The authors acknowledge Cynthia Mitchell for her technical assistance and Stephanie Morrison, nurse research assistant, Queen Elizabeth Hospital. In addition, the authors thank Amy Vickers and Shaina Starks of the Motherās Milk Bank of North Texas, USA for providing samples for this project. This research was funded by the Atlantic Canada Opportunities Agency (AIF: 195174). IE is supported by a Mitacs Elevate Postdoctoral Fellowship (IT09473).
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Elsohaby, I., McClure, J.T., Riley, C.B. et al. Transmission infrared spectroscopy for rapid quantification of fat, protein, and lactose concentrations in human milk. J Perinatol 38, 1685ā1693 (2018). https://doi.org/10.1038/s41372-018-0233-5
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DOI: https://doi.org/10.1038/s41372-018-0233-5