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ARS Home » Northeast Area » Beltsville, Maryland (BHNRC) » Beltsville Human Nutrition Research Center » Methods and Application of Food Composition Laboratory » Research » Publications at this Location » Publications at this Location

Publications at this Location

ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location.

Clicking on a publication title will take you to more information on the publication. Clicking on the reprint icon Repository URL will take you to the publication reprint.

2021 | 2020 | 2019 |

2021 Publications
(listed by order of acceptance date)

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Show All Publications || Peer Reviewed Journal Publications Only

Displaying 1 to 11 of 11 Records

Deriving Information from Complex Data Sets: Impact of Forage on Fatty Acids in Cow Milk
(Peer Reviewed Journal)
Current knowledge and challenges on the development of a dietary glucosinolate database in the U.S. Reprint Icon
Identification of Marker Compounds for Predicting Browning of Fresh-cut Lettuce Using Untargeted UHPLC-HRMS Reprint Icon
(Peer Reviewed Journal)
Dietary Fiber, Starch, and Sugars in Bananas at Different Ripeness in the Retail Market Reprint Icon
(Peer Reviewed Journal)
Macro-and micronutrients in raw plant foods: the similarities and implication for dietary diversity Reprint Icon
(Peer Reviewed Journal)
Classification of structural characteristics facilitate identifying steroidal saponins inAlliums using ultra-high performance liquid chromatography high-resolution massspectrometry Reprint Icon
(Peer Reviewed Journal)
GC-MS and GC-FID of seven seed oils containing conjugated fatty acids Reprint Icon
(Peer Reviewed Journal)
IngID: a framework for parsing and systematic reporting of ingredients used in commercially packaged foods Reprint Icon
(Peer Reviewed Journal)
Two- and three-dimensional chromatography with four dimensions of mass spectrometry, LC2MS4 and LC3MS4: Breaking the rules
(Peer Reviewed Journal)
Obtaining bovine milk oligosaccharides from milk and dairy streams: potential sources and considerations on increasing oligosaccharide concentration
Application of machine learning for predicting label nutrients using USDA Global Branded Food Products Database (BFPD) Reprint Icon
(Peer Reviewed Journal)