Evidence map›Paper›PMID 36320264›Full record

ArticleRSC advances2022

Quantitative study of impact damage on yellow peaches based on reflectance, absorbance and Kubelka-Munk spectral data.

Bin Li, Feng Zhang, Yande Liu, Hai Yin, Jiping Zou, Aiguo Ou-Yang

Abstract read
In one paragraph

Article in RSC advances, 2022. 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. Article
  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

6 authors.

Bin LiInstitute of Intelligent Electromechanical Equipment Innovation, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, East China Jiao Tong University Nanchang 330013 China ouyang1968711@163.com.
Feng ZhangInstitute of Intelligent Electromechanical Equipment Innovation, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, East China Jiao Tong University Nanchang 330013 China ouyang1968711@163.com.
Yande LiuInstitute of Intelligent Electromechanical Equipment Innovation, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, East China Jiao Tong University Nanchang 330013 China ouyang1968711@163.com.ORCID https://orcid.org/0000-0001-7785-0693
Hai YinInstitute of Intelligent Electromechanical Equipment Innovation, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, East China Jiao Tong University Nanchang 330013 China ouyang1968711@163.com.
Jiping ZouInstitute of Intelligent Electromechanical Equipment Innovation, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, East China Jiao Tong University Nanchang 330013 China ouyang1968711@163.com.
Aiguo Ou-YangInstitute of Intelligent Electromechanical Equipment Innovation, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, East China Jiao Tong University Nanchang 330013 China ouyang1968711@163.com.ORCID https://orcid.org/0000-0001-8480-6762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impact damage is one of the main forms of damage during the postharvest transportation and processing of yellow peaches. Thus, a quantitative prediction of the impact damage degree of yellow peaches is significant for their postharvest grading. In the present study, mechanical parameters such as the damage area, absorbed energy and maximum force were obtained based on a single pendulum collision device and an intelligent data acquisition system. The reflection spectra (R) of the damaged areas of yellow peaches were collected by a hyperspectral imaging system and transformed into absorbance (A) spectra and Kubelka-Munk (K-M) spectra. The

Identifiers

PMID36320264
PMCPMC9527641

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.