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This article provides a thorough review of various analytical methods utilized for the identification and quantification of non-protein nitrogen (NPN) components in infant formula (IF), specifically focusing on key NPN components such as urea, nucleotides, and free amino acids. Quantifying these components is essential for ensuring the nutritional quality of IF. The review evaluates the sensitivity, specificity, and applicability of different analytical techniques when applied to a complex matrix (i.e., IF), highlighting the advantages and limitations inherent in each approach. Although numerous methods exist for quantifying the different NPN components, not all are rigorously validated. Additionally, many methods fail to adequately account for matrix effects, which can lead to significant discrepancies in reported values. This review underscores the importance of selecting validated analytical approaches that consider matrix effects to obtain reliable data on NPN components in IF. By enhancing the understanding of NPN quantification in infant nutrition, this work aims to highlight the importance of standardized and validated analytical protocols, thereby improving consistency in the identification and quantification of key NPN components in IF.
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http://dx.doi.org/10.1111/1541-4337.70256 | DOI Listing |
Compr Rev Food Sci Food Saf
September 2025
Nestlé Development Centre Nutrition, Wyeth Nutritional's Ireland, Limerick, Ireland.
This article provides a thorough review of various analytical methods utilized for the identification and quantification of non-protein nitrogen (NPN) components in infant formula (IF), specifically focusing on key NPN components such as urea, nucleotides, and free amino acids. Quantifying these components is essential for ensuring the nutritional quality of IF. The review evaluates the sensitivity, specificity, and applicability of different analytical techniques when applied to a complex matrix (i.
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China. Electronic address:
The delicate design of bifunctional catalysts for the decontamination of combined pollution has become a hotspot but the functional mechanism remains unclear. In this work, we constructed Fe foam supported ZnInS (FZIS) composites for synchronously removing phosphorus (P) and organic contaminants. The composites act both as iron source for the phosphate removal and photocatalysts for the oxidation of refractory organic contaminants (amoxicillin, quinolone antibiotics, dyes).
View Article and Find Full Text PDFFoods
June 2025
DRIFT-FOOD Research Centre, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech Republic.
This study aims to determine the Blaťácké zlato cheese in vitro antioxidant activity and its correlation with specific peptides. A general physicochemical evaluation was also conducted, considering possible differences between batches. The antioxidant activity focused mainly on the nitrogen fractions with the shortest-chain peptides.
View Article and Find Full Text PDFZoo Biol
June 2025
Care for Wild Rhino Sanctuary, Nelspruit, South Africa.
The proximate composition of milk from seven free-ranging white rhinoceroses during the first 20 days of lactation is reported with detailed analysis of minerals and fatty acids. The composition of colostrum (day 1) is marked by a high content of dry matter at 23.8 g/100 g milk, mainly consisting of 18.
View Article and Find Full Text PDFMicroorganisms
March 2025
School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China.
Due to the increasing global demand for feed protein, microbial protein has great potential of being able to feed sustainably. However, the application of microbial protein in the animal cultivation industry is still limited by its high cost and availability on scale. From the viewpoint of industrial production, it is vital to specify the crucial processes and components for further technical exploration and process optimization.
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