Evidence map›Paper›PMID 40469671›Full record

ArticleFrontiers in nutrition2025

Mechanism and Multilayer Perceptron prediction model of the removal of

Ruijie Mai, Shuo Xue, Jingnan Ren, Gang Fan, Jinchu Yang, Linhua Huang, Guijie Li, Yujiao Cheng, Qiuling Wang, Yongfeng Yang and 5 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Ruijie MaiKey Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
Shuo XueKey Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
Jingnan RenKey Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
Gang FanKey Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
Jinchu YangTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, China.
Linhua HuangCitrus Research Institute, Southwest University, Chongqing, China.
Guijie LiCitrus Research Institute, Southwest University, Chongqing, China.
Yujiao ChengCitrus Research Institute, Southwest University, Chongqing, China.
Qiuling WangTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, China.
Yongfeng YangTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, China.
Zhenzhen HuangTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, China.
Yingjie FengTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, China.
Wenzhao LiuTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, China.
Aiqun YuState Key Laboratory of Food Nutrition and Safety, College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China.
Jian FengHenan Jinrui Flavoring and Essence Co., Ltd., Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study revealed the mechanism of improvement in sensory evaluation of citrus juices after pasteurization by the natural cyclodextrin (

Indexed as

citrusdeep learningGCMSmolecular dockingoff-flavor compoundsSEMTGAβ-cyclodextrin

Identifiers

PMID40469671
PMCPMC12133525

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.