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A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices

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Bibliographic Details
Published in:Journal of Food Chemistry and Nutrition
Format: Online Article RSS Article
Published: 2019
Subjects:
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container_title Journal of Food Chemistry and Nutrition
description
discipline_display Food and Food Industries
discipline_facet Food and Food Industries
format Online Article
RSS Article
genre Journal Article
id rss_article:71748
institution FRELIP
journal_source_facet Journal of Food Chemistry and Nutrition
publishDate 2019
publishDateSort 2019
record_format rss_article
spellingShingle A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
Food and Food Industries
General
Food and Food Industries
sub_discipline_display General
sub_discipline_facet General
subject_display Food and Food Industries
General
Food and Food Industries
Food and Food Industries
General
Food and Food Industries
subject_facet Food and Food Industries
General
Food and Food Industries
title A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
title_auth A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
title_full A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
title_fullStr A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
title_full_unstemmed A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
title_short A Validated Method for Detection and Quantitation of 2’Fucosyllactose in Infant Formula Matrices
title_sort a validated method for detection and quantitation of 2’fucosyllactose in infant formula matrices
topic Food and Food Industries
General
Food and Food Industries
url https://esciencepress.net/journals/JFCN/article/view/2843