Evidence map›Paper›PMID 42195913›Full record

ArticleFoods (Basel, Switzerland)2026

GC-MS and GC-IMS Comprehensive Analysis of Volatile Compounds in the Peel and Pulp of Six Lemon Varieties and Their Interactions with Olfactory Receptors: Molecular Docking and Molecular Dynamics Simulations Studies.

Chengcheng Liu, Yang Wu, Lingzhen Lv, Xiang Sun, Qiuju Dai, Yijun Wang, Shilin Chen, Zhixiang Liu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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

8 authors.

Chengcheng LiuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yang WuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Lingzhen LvSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xiang SunSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Qiuju DaiInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yijun WangInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Shilin ChenInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Zhixiang LiuInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID 0000-0003-2586-5273

Funding

Chengdu University of Traditional Chinese Medicine XJ2024004701Sichuan Youth Science & Technology Foundation 25QNJJ4519
6 · The paper itself

Abstract

The aroma of lemon is an important indicator of its quality, but there is still a lack of comparative research on the flavor components of different varieties of lemon and the interaction between olfactory receptors. This study conducted a combined analysis of volatile components in the peel and flesh of six varieties of lemons using GC-MS and GC-IMS. The random forest algorithm in machine learning was used to screen differential metabolites and perform molecular docking with all 389 olfactory receptors to analyze their potential interaction relationships. Hydrophobic interactions and hydrogen bonds are the most common interactions between odor molecules and olfactory receptors, and amino acids such as PHE, TYR, ASN, and HIS have the highest frequency of interaction. These findings offer crucial insights into the molecular mechanisms underlying lemon flavor. They also furnish a theoretical foundation for enhancing and utilizing lemon flavor quality.

Indexed as

Citrus × limonGC-IMSGC-MSmolecular dockingmolecular dynamic simulationsolfactory receptors

Identifiers

PMID42195913
PMCPMC13206190

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Registered trials

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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.