Evidence map›Paper›PMID 38628221›Full record

ArticleFood science & nutrition2024

The quality evaluation of 30

Rui Gao, Guanghui Li, Pingxiang Liu, Lei Gao, Jingxiu Bi, Yuying Jiang, Honglei Liu, Yutao Wang

Abstract read
In one paragraph

Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Promoting Effects ofPlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. The quality evaluation of 30Food science & nutrition · 2024
    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

8 authors.

Rui GaoShandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Institute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan Shandong China.ORCID https://orcid.org/0009-0005-8385-5294
Guanghui LiShandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Biotechnology Research Center Shandong Academy of Agricultural Sciences Jinan Shandong China.
Pingxiang LiuShandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Institute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan Shandong China.
Lei GaoShandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Institute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan Shandong China.
Jingxiu BiShandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Institute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan Shandong China.
Yuying JiangShandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Institute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan Shandong China.
Honglei LiuState Key Laboratory of Microbial Technology Shandong University Qingdao Shandong China.
Yutao WangShandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Institute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan Shandong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asparagus, a vital economic contributor, is a well-liked vegetable grown around the globe, and some secondary metabolites in its spear are beneficial to human health. Asparagus spears possess a significant quantity of nutrients and phytochemicals; however, the difference in these chemical compositions among various varieties has not been sufficiently studied. This work aimed to detect the chemical compositions of 30 varieties of asparagus and to assess them by principal component analysis (PCA). The results showed that the contents of these chemical compositions varied in varieties. Selenium (Se, 1.12-2.9 μg/100 g dry-weight [DW]) was abundant in asparagus, with an average dry matter content of 8.25%. Free amino acids (5.60-9.98 g/100 g DW) and polyphenols (6.34-8.67 mg/g DW) were both present in high amounts, along with flavonoids (4.218-8.22 mg/g DW) and protodioscin (0.44-1.96 mg/g DW). Correlation analysis, PCA, and hierarchical cluster analysis were used to conduct a comprehensive evaluation of asparagus. Atlas, Appolo, Jinggang 111, Jingke 2, and WS-1 were the top five varieties with comprehensive scores. This study provided valuable data for the breeding, quality improvement, processing, and utilization of asparagus varieties in the future.

Indexed as

Asparagus officinalis L.comprehensive evaluationflavonoidsfree amino acidsprotodioscinrutin

Identifiers

PMID38628221
PMCPMC11016430

What OpenQuestion holds

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LicenceCC BY
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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.