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Qualitative and quantitative vibrational spectroscopic analysis of macronutrients in breast milk

Kārlis Bērziņš, Samuel D.L. Harrison, Claudia Leong, Sara J. Fraser‐Miller, Michelle J. Harper, Aly Diana, Rosalind S. Gibson, Lisa A Houghton, Keith C. Gordon

2020Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy20 citationsDOIOpen Access PDF

Abstract

Raman and attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy were used to analyze 208 breast milk samples as part of a larger research study. Comprehensive qualitative and quantitative analysis was carried out using chemometric methods: principal component analysis (PCA) and partial least squares (PLS) regression. The obtained information on the main macronutrients (protein, fat and carbohydrate) were primarily evaluated in relation to the available metadata of the samples, where study location and respective primary food sources revealed a stronger differentiation in fat composition than its absolute content. The limitations and challenges of using both spectroscopic techniques for the type of analysis are also highlighted.

Topics & Concepts

Principal component analysisPartial least squares regressionChemistryQualitative analysisQuantitative analysis (chemistry)Analytical Chemistry (journal)Raman spectroscopyFourier transform infrared spectroscopyMetadataFood scienceChromatographyMathematicsStatisticsComputer scienceQualitative researchOpticsPhysicsSociologyOperating systemSocial scienceInfant Nutrition and HealthMeat and Animal Product QualityAnimal Nutrition and Physiology
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