Evidence map›Paper›PMID 36542787›Full record

ArticleAnalytical chemistry2023

Quantitative Bottom-Up Glycomic Analysis of Polysaccharides in Food Matrices Using Liquid Chromatography-Tandem Mass Spectrometry.

Nikita P Bacalzo, Garret Couture, Ye Chen, Juan J Castillo, Katherine M Phillips, Naomi K Fukagawa, Carlito B Lebrilla

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Nikita P BacalzoDepartment of Chemistry, University of California─Davis, Davis, California 95616, United States.ORCID 0000-0002-6253-6340
Garret CoutureDepartment of Chemistry, University of California─Davis, Davis, California 95616, United States.ORCID 0000-0002-8947-4354
Ye ChenDepartment of Chemistry, University of California─Davis, Davis, California 95616, United States.ORCID 0000-0002-6379-1968
Juan J CastilloDepartment of Chemistry, University of California─Davis, Davis, California 95616, United States.ORCID 0000-0001-9680-5273
Katherine M PhillipsVirginia Tech, Blacksburg, Virginia 24061, United States.
Naomi K FukagawaBeltsville Human Nutrition Research Center, USDA Agricultural Research Service, Beltsville, Maryland 20705, United States.
Carlito B LebrillaDepartment of Chemistry, University of California─Davis, Davis, California 95616, United States.ORCID 0000-0001-7190-5323
University of California, Davis · USAgricultural Research Service · USVirginia Tech · US

Funding

Annotating carbohydrate structures to develop markers for consumption of foodR01DK124193 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B, LEMAY, DANIELLE GUYANNE · 2020 to 2024
$2.9M
NIDDK NIH HHS R01 DK124193
6 · The paper itself

Abstract

Carbohydrates are the most abundant biomolecules in nature, and specifically, polysaccharides are present in almost all plants and fungi. Due to their compositional diversity, polysaccharide analysis remains challenging. Compared to other biomolecules, high-throughput analysis for carbohydrates has yet to be developed. To address this gap in analytical science, we have developed a multiplexed, high-throughput, and quantitative approach for polysaccharide analysis in foods. Specifically, polysaccharides were depolymerized using a nonenzymatic chemical digestion process followed by oligosaccharide fingerprinting using high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (HPLC-QTOF-MS). Both label-free relative quantitation and absolute quantitation were done based on the abundances of oligosaccharides produced. Method validation included evaluating recovery for a range of polysaccharide standards and a breakfast cereal standard reference material. Nine polysaccharides (starch, cellulose, β-glucan, mannan, galactan, arabinan, xylan, xyloglucan, chitin) were successfully quantitated with sufficient accuracy (5-25% bias) and high reproducibility (2-15% CV). Additionally, the method was used to identify and quantitate polysaccharides from a diverse sample set of food samples. Absolute concentrations of nine polysaccharides from apples and onions were obtained using an external calibration curve, where varietal differences were observed in some of the samples. The methodology developed in this study will provide complementary polysaccharide-level information to deepen our understanding of the interactions of dietary polysaccharides, gut microbial community, and human health.

Indexed as

GlycomicsTandem Mass SpectrometryChromatography, High Pressure LiquidChromatography, LiquidHumansOligosaccharidesPolysaccharidesReproducibility of ResultsOligosaccharidesPolysaccharides

Identifiers

PMID36542787
PMCPMC9850401
OpenAlexW4312061212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.