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Transmission infrared spectroscopy for rapid quantification of fat, protein, and lactose concentrations in human milk

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€‰=ā€‰306) 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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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 Motherā€™s 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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Correspondence to Ibrahim Elsohaby.

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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, 1685ā€“1693 (2018). https://doi.org/10.1038/s41372-018-0233-5

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