Evidence map›Paper›PMID 38138456›Full record

ReviewMolecules (Basel, Switzerland)2023

Research Progress of Rapid Non-Destructive Detection Technology in the Field of Apple Mold Heart Disease.

Yanlei Li, Zihao Yang, Wenxiu Wang, Xiangwu Wang, Chunzhi Zhang, Jun Dong, Mengyu Bai, Teng Hui

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. 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. Review
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.

Yanlei LiMechanical and Electrical Engineering College, Beijing Polytechnic University, Beijing 100042, China.ORCID 0000-0003-3224-7801
Zihao YangMechanical and Electrical Engineering College, Beijing Polytechnic University, Beijing 100042, China.
Wenxiu WangFood Science and Technology College, Hebei Agricultural University, Baoding 071001, China.ORCID 0000-0002-9268-3528
Xiangwu WangMechanical and Electrical Engineering College, Beijing Polytechnic University, Beijing 100042, China.
Chunzhi ZhangMechanical and Electrical Engineering College, Beijing Polytechnic University, Beijing 100042, China.
Jun DongMechanical and Electrical Engineering College, Beijing Polytechnic University, Beijing 100042, China.
Mengyu BaiMechanical and Electrical Engineering College, Beijing Polytechnic University, Beijing 100042, China.
Teng HuiFood Science College, Sichuan Agricultural University, Ya'an 625014, China.

Funding

Research Project of Beijing Municipal Education Commission KM202310853002Research Project of Beijing Polytechnic College BGY2022KY-03QT
6 · The paper itself

Abstract

Apples are rich in vitamins and dietary fiber and are one of the essential fruits in people's daily diet. China has always been a big apple consumer, and with the improvement of people's life quality, nutrition, and health requirements, the demand for high-quality apples has increased year by year. Apple mold heart disease is one of the main diseases affecting apple quality. However, this disease cannot be easily detected from the surface, so it is difficult to detect mold heart disease. Therefore, this paper focuses on the analysis of seven non-destructive detection technologies, including near infrared spectroscopy technology, hyperspectral technology, Raman spectroscopy technology, electronic nose technology, acoustic technology, electrical technology, and magnetic technology, summarizes their application status in the detection of apple mold heart disease, and then analyzes their advantages and disadvantages. Combined with the current rapid development of artificial intelligence (AI) technology, this paper proposes the future development trends of using non-destructive technologies to detect apple mold heart disease. It is expected to provide basic theory and application references for the intelligent detection of apple mold heart disease.

Indexed as

Heart DiseasesMalusArtificial IntelligenceFungiHumansTechnologyappleintelligentmold heart diseasenon-destructivespectroscopy

Identifiers

PMID38138456
PMCPMC10745863

What OpenQuestion holds

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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.