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Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk

Breast milk is an optimal food that covers all the nutritional needs of the newborn. It is a dynamic fluid whose composition varies with lactation period. The neonatal units of hospitals have human milk banks, a service that analyzes, stores, and distributes donated human milk. This milk is used to...

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Autores principales: Melendreras, Candela, Forcada, Sergio, Fernández-Sánchez, María Luisa, Fernández-Colomer, Belén, Costa-Fernández, José M., López, Alberto, Ferrero, Francisco, Soldado, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962988/
https://www.ncbi.nlm.nih.gov/pubmed/35214214
http://dx.doi.org/10.3390/s22041311
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author Melendreras, Candela
Forcada, Sergio
Fernández-Sánchez, María Luisa
Fernández-Colomer, Belén
Costa-Fernández, José M.
López, Alberto
Ferrero, Francisco
Soldado, Ana
author_facet Melendreras, Candela
Forcada, Sergio
Fernández-Sánchez, María Luisa
Fernández-Colomer, Belén
Costa-Fernández, José M.
López, Alberto
Ferrero, Francisco
Soldado, Ana
author_sort Melendreras, Candela
collection PubMed
description Breast milk is an optimal food that covers all the nutritional needs of the newborn. It is a dynamic fluid whose composition varies with lactation period. The neonatal units of hospitals have human milk banks, a service that analyzes, stores, and distributes donated human milk. This milk is used to feed premature infants (born before 32 weeks of gestation or weighing less than 1500 g) whose mothers, for some reason, cannot feed them with their own milk. Here, we aimed to develop near-infrared spectroscopy (NIRS) measures for the analysis of breast milk. For this purpose, we used a portable NIRS instrument scanning in the range of 1396–2396 nm to collect the spectra of milk samples. Then, different chemometrics were calculated to develop 18 calibration models with and without using derivatives and the standard normal variate. Once the calibration models were developed, the best treatments were selected according to the correlation coefficients (r(2)) and prediction errors (SECVs). The best results for the assayed macronutrients were obtained when no pre-treatment was applied to the NIR spectra of fat (r(2) = 0.841, SECV = 0.51), raw protein (r(2) = 0.512, SECV = 0.21), and carbohydrates (r(2) = 0.741, SECV = 1.35). SNV plus the first derivative was applied to obtain satisfactory results for energy (r(2) = 0.830, SECV = 9.60) quantification. The interpretation of the obtained results showed the richness of the NIRS spectra; moreover, the presence of specific bands for fat provided excellent statistics in quantitative models. These results demonstrated the ability of portable NIRS sensors in a methodology developed for the quality control of macronutrients in breast milk.
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spelling pubmed-89629882022-03-30 Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk Melendreras, Candela Forcada, Sergio Fernández-Sánchez, María Luisa Fernández-Colomer, Belén Costa-Fernández, José M. López, Alberto Ferrero, Francisco Soldado, Ana Sensors (Basel) Article Breast milk is an optimal food that covers all the nutritional needs of the newborn. It is a dynamic fluid whose composition varies with lactation period. The neonatal units of hospitals have human milk banks, a service that analyzes, stores, and distributes donated human milk. This milk is used to feed premature infants (born before 32 weeks of gestation or weighing less than 1500 g) whose mothers, for some reason, cannot feed them with their own milk. Here, we aimed to develop near-infrared spectroscopy (NIRS) measures for the analysis of breast milk. For this purpose, we used a portable NIRS instrument scanning in the range of 1396–2396 nm to collect the spectra of milk samples. Then, different chemometrics were calculated to develop 18 calibration models with and without using derivatives and the standard normal variate. Once the calibration models were developed, the best treatments were selected according to the correlation coefficients (r(2)) and prediction errors (SECVs). The best results for the assayed macronutrients were obtained when no pre-treatment was applied to the NIR spectra of fat (r(2) = 0.841, SECV = 0.51), raw protein (r(2) = 0.512, SECV = 0.21), and carbohydrates (r(2) = 0.741, SECV = 1.35). SNV plus the first derivative was applied to obtain satisfactory results for energy (r(2) = 0.830, SECV = 9.60) quantification. The interpretation of the obtained results showed the richness of the NIRS spectra; moreover, the presence of specific bands for fat provided excellent statistics in quantitative models. These results demonstrated the ability of portable NIRS sensors in a methodology developed for the quality control of macronutrients in breast milk. MDPI 2022-02-09 /pmc/articles/PMC8962988/ /pubmed/35214214 http://dx.doi.org/10.3390/s22041311 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Melendreras, Candela
Forcada, Sergio
Fernández-Sánchez, María Luisa
Fernández-Colomer, Belén
Costa-Fernández, José M.
López, Alberto
Ferrero, Francisco
Soldado, Ana
Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk
title Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk
title_full Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk
title_fullStr Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk
title_full_unstemmed Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk
title_short Near-Infrared Sensors for Onsite and Noninvasive Quantification of Macronutrients in Breast Milk
title_sort near-infrared sensors for onsite and noninvasive quantification of macronutrients in breast milk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962988/
https://www.ncbi.nlm.nih.gov/pubmed/35214214
http://dx.doi.org/10.3390/s22041311
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