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Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit./
Author:	Templeton, Monique Carvalho.
Description:	1 online resource (424 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:	Dissertations Abstracts International84-05B.
Subject:	Food science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29781177click for full text (PQDT)
ISBN:	9798352981153

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.
Templeton, Monique Carvalho.

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit. - 1 online resource (424 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2022.

Includes bibliographical references

The Dietary Guidelines for Americans encourages consumption of a variety of fruits and vegetables for the health benefits implicated with their nutrient and (poly)phenol composition. However, less than 13% of Americans consume the daily recommended servings of fruits and vegetables (3.5-5 cup-equivalent) for a variety of reasons, including taste, cost, and convenience. Alternatively, increasing the nutrient density of fruits and vegetables may deliver greater health benefits to consumers. Using a commonly consumed fruit such as blueberry as a model, the objective of the present research was to evaluate the impact of blueberry genotype/phenotype and food processing on their (poly)phenol bioavailability as an attempt to enhance (poly)phenol delivery in consumer relevant processed foods. To address this objective, a broad-spectrum quantitative metabolomics method using LC-MS was validated and then applied to the analysis of (poly)phenol bioavailability in serum and urine samples.Initially, the quantitative metabolomics method was validated to ensure its suitability for the analysis of 8 blueberry-derived (poly)phenols, and 91 metabolites. The linearity, sensitivity, precision and accuracy of this quantitative method was assessed in serum based on bioanalytical method validation guidelines from the U.S. Department of Health and Human Services Food and Drug Administration, and the European Medicines Agency. This analytical method was deemed suitable for the analysis of these analytes and showed satisfactory precision and accuracy for 71- 83% of analytes at the most physiologically relevant concentrations (0.05-5 µM). In a second study describing the validation of this quantitative metabolomics method, the freeze-thaw stability of (poly)phenols was assessed in pre-extracted biological tissue at three concentrations. This study aimed to inform clinical nutrition researchers of the quantitative accuracy in metabolomics for 99 analytes across four freeze-thaw cycles of pre-extracted biological tissue, since clinical samples may need to be frozen and thawed during shipment or for reanalysis. Significant reductions in analyte response were observed over four cycles, but thawing pre-extracted biological tissue once minimally impacted the analytical response, yielding the most accurate response across concentrations.A third study evaluated the accuracy of using the reference standard of a (poly)phenol as a surrogate to quantify another (poly)phenol of the same or similar structure, a common practice when reference standards are not commercially available. However, this study showed that even in such cases there may be quantitative inaccuracy, with under- and overestimation of concentration by as much as 200-fold and above. Therefore, the present analysis indicated that unless the slopes of the analyte of interest and surrogate are known, this practice can be highly inaccurate. The use of reference standards is still the gold standard approach for optimal quantitative accuracy.The findings of the above studies were applied to the analysis of the bioavailability and pharmacokinetics of blueberry-derived (poly)phenols following consumption of one cup (150 g) of two blueberry varieties, Elliott containing higher (poly)phenol bioaccessibility than Olympia, a protein bar containing the equivalent to 1 cup of Elliott blueberry, and a macronutrient-matched control beverage in 18 healthy adults over 48 hours after consumption. There was a significant difference in the concentration of (poly)phenol metabolites across the subclasses of hydroxycinnamic acids, hydroxybenzoic acids and 3-(hydroxyphenyl)propanoic acids in the blood circulation and in urine across all blueberries and protein bar compared to the control, reflecting that they are derived from the berries. Metabolites from these subclasses also showed similar cumulative urinary excretion and area under the curve after consumption of the blueberries and protein bar.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352981153Subjects--Topical Terms:

3173303
Food science.
Index Terms--Genre/Form:

542853
Electronic books.

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.
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