Evidence map›Paper›PMID 40735134›Full record

ArticleFood chemistry: X2025

Characterization of anthocyanins, phenolics, and flavonoids in a global carrot collection through application of chemometrics and FT-NIR spectroscopy.

Romit Seth, Chelsey Fiecke, Guoying Ma, Penelope Perkins-Veazie, Pablo Cavagnaro, Mario G Ferruzzi, Massimo Iorizzo

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Romit SethPlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, United States.
Chelsey FieckeArkansas Children's Nutrition Center and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, United States.
Guoying MaPlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, United States.
Penelope Perkins-VeaziePlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, United States.
Pablo CavagnaroNational Scientific and Technical Research Council (CONICET), National Agricultural Technology Institute (INTA) E.E.A. Mendoza, Mendoza 5507, Argentina.
Mario G FerruzziArkansas Children's Nutrition Center and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, United States.
Massimo IorizzoPlants for Human Health Institute, North Carolina State University, Kannapolis, North Carolina, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purple carrot is an important source of anthocyanins as a natural food dye, yet research advancements in selecting purple cultivars with improved anthocyanin extractable yield and stability remain limited. This study used a large set of purple carrot accessions to characterize anthocyanins, phenolics, and flavonoids, their relationship to tissue-specific accumulation, extraction efficiency, color density, and color stability. A Fourier-transform near-infrared (FT-NIR) spectroscopy method was also developed to evaluate these metabolites. Fully purple roots showed the highest anthocyanin content and extraction efficiency. Non-acylated anthocyanin Cy3XG was identified as a limiting step in the biosynthesis of stable acylated anthocyanins

Indexed as

Acylated anthocyaninsChemometricsHigh-throughput phenotypingNear-infrared spectroscopyPhenolic acidsPurple carrot

Identifiers

PMID40735134
PMCPMC12305724

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.