Evidence map›Paper›PMID 38675553›Full record

ArticleMolecules (Basel, Switzerland)2024

Widely Targeted Metabolomics Analysis Reveals Metabolites Important for Antioxidant Properties and Quality Traits in Different Fruit Parts of Aurantii Fructus Immatures.

Shuo Zhang, Ze Liu, Xinyu Xu, Ruihua Zhao, Shujiang Zhang, Rong Luo

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Shuo ZhangSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
Ze LiuSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
Xinyu XuSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
Ruihua ZhaoSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
Shujiang ZhangSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
Rong LuoSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.ORCID 0000-0001-9026-6619

Funding

National Natural Science Foundation of China 81973431
6 · The paper itself

Abstract

In traditional Chinese medicine, Aurantii Fructus Immatures (AFIs) have been utilized for more than 2000 years. The proportions of different fruit parts are crucial for evaluating AFI quality in China. However, the basis for this statement's substance is unclear. Differences in quality are intimately correlated with a plant's metabolite composition. On the basis of a widely targeted metabolome, this study intended to investigate the metabolite composition and evaluate the antioxidant capacity of the peel and pulp of an AFI. Metabolites were identified and quantified by UHPLC-QqQ-MS. To assess their antioxidant ability, DPPH and ABTS assays were carried out. There were 1327 chemical compounds identified by UHPLC-QqQ-MS. After screening the differential metabolites using a multivariate statistical analysis, it was found that there were 695 significant differences in the metabolites between the peel and the pulp. Among them, it was discovered that the content of active ingredients in the peel group was higher than that in the pulp group. Furthermore, the aqueous extracts from the peel showed stronger antioxidant capacities than those from the pulp. The metabolites and antioxidant capacities were significantly different between the peel and the pulp. This study of different fruit parts might provide a guide for AFI quality assessments.

Indexed as

AntioxidantsFruitMetabolomicsChromatography, High Pressure LiquidCitrusMetabolomePlant ExtractsAntioxidantsPlant Extractsantioxidant activityAurantii Fructus Immatureschemometricsmetabolic profilingquality evaluation

Identifiers

PMID38675553
PMCPMC11051935

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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.