Evidence map›Paper›PMID 39007118›Full record

ArticleFood chemistry: X2024

Integrated characterization of arabica coffee husk tea using flavoromics, targeted screening, and

Chunyan Zhao, Xiuwei Liu, Hao Tian, Zelin Li

Abstract read
In one paragraph

Article in Food chemistry: X, 2024. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Sensory-Chemical Co-Dynamics inFoods (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Pharmacological assessment ofBioinformatics advances · 2025
    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

4 authors.

Chunyan ZhaoCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Xiuwei LiuAgro-Products Processing Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China.
Hao TianAgro-Products Processing Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China.
Zelin LiAgro-Products Processing Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify the key volatile compounds in two types of processed arabica coffee husk tea, elucidate their olfactory characteristics, and investigate their antioxidant and anti-inflammatory activities. Sensory evaluation indicated differences between the two groups. A total of 64 and 99 compounds were identified in the C and FC groups, respectively, with 5 identified as key aroma compounds (ROAV≥1). Molecular simulations indicated that four common key aroma compounds were successfully docked with OR1A1 and OR5M3 receptors, forming stable complexes. Furthermore, 14 volatile compounds interacted with 140 targets associated with oxidation and inflammation, linking to 919 gene ontology (GO) terms and 135 kyoto encyclopedia of genes and genomes (KEGG) pathways. Molecular simulations revealed that these volatile components showed antioxidant and anti-inflammatory effects by interacting with core receptors through several forces, including van der Waals, Pi-alkyl, and Pi-cation interactions and hydrogen bonds.

Indexed as

1-Methylnaphthalene (PubChem CID: 7002)2,3-Butanediol (PubChem CID: 262)2-Heptanol (PubChem CID: 10976)6-Methyl-5-hepten-2-one (PubChem CID: 9862)Anti-inflammationAntioxidantBenzyl alcohol (PubChem CID: 244)Butyrolactone (PubChem CID: 7302)Coffee husk teaDamascenone (PubChem CID: 5366074)Furfural (PubChem CID: 7362)Hexanal (PubChem CID: 6184)Molecular simulationOctanal (PubChem CID: 454)Olfactory characteristicsVolatile compounds

Identifiers

PMID39007118
PMCPMC11245994

What OpenQuestion holds

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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.