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Article: Analytical Study of Donor's Milk Bank Macronutrients by Infrared Spectroscopy. Correlations With Clinic-Metabolic Profile of 100 Donors.

Sbrizzi, Stefania / Quitadamo, Pasqua Anna / Ravidà, Domenico / Palumbo, Giuseppina / Cristalli, Pier Paolo / Pettoello-Mantovani, Massimo

Frontiers in public health

2019  Volume 7, Page(s) 234

Abstract: For its specific qualitative characteristics human donor milk (DM) is the main alternative to preterm infants nutrition and growing. How several studies suggest child's physical and mental development is influenced by breastfeeding that prevents the ... ...

Abstract For its specific qualitative characteristics human donor milk (DM) is the main alternative to preterm infants nutrition and growing. How several studies suggest child's physical and mental development is influenced by breastfeeding that prevents the necrotizing enterocolitis (NEC), retinopathy of prematurity (ROP), and sepsis common in preterm newborns. Our research was conducted in NICU's Human Milk Bank (HMB) "Allattiamolavita." Our study was based on macronutrients analysis (MA) of 100 DM samples taken until 10 days since childbirth and analyzed by spectroscopic infrared innovative method (MIRIS). This is a specific method to analyse fat (F), crude proteins (CP), true proteins (TP), carbohydrate (CHO), and total solids (TS). We also analyzed the 100 donors' clinic-metabolic profile by blood tests (PMT). Both data was collected between September 2015 and February 2018. The research was structured in two parts. In the first part we compared PMT with qualitative and quantitative characteristics of MA while in the second one we studied every DM macronutrient finding furthermore possible relations between them. Statistical Package for Social Sciences (SPSS-IBM 24) was used to compare data and reporting coefficient of determination using Spearman's Rho and Kendall's Tau. We also analyzed samples using Kolmogorov-Smirnov test, Student
Language English
Publishing date 2019-09-12
Publishing country Switzerland
Document type Journal Article
ZDB-ID 2711781-9
ISSN 2296-2565
ISSN 2296-2565
DOI 10.3389/fpubh.2019.00234
Database MEDical Literature Analysis and Retrieval System OnLINE

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