Evidence map›Paper›PMID 40363578›Full record

ArticleMaterials (Basel, Switzerland)2025

Development of a Methodology for Assessing Mechanical Damage in Biological Objects: Impact Parameters and Micro-Damage Analysis.

Serhii Kharchenko, Sylwester Samborski, Rafat Al Afif, Farida Kharchenko, Mariusz Kłonica, Mykhailo Piven

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Serhii KharchenkoDepartment of Fundamentals of Production Engineering, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0002-4883-2565
Sylwester SamborskiDepartment of Fundamentals of Production Engineering, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0002-3524-3200
Rafat Al AfifInstitute of Chemical and Energy Engineering, University of Natural Resources and Life Sciences, 1190 Vienna, Austria.ORCID 0000-0002-8818-8292
Farida KharchenkoDepartment of Agricultural Engineering, Sumy National Agrarian University, 40-021 Sumy, Ukraine.
Mariusz KłonicaDepartment of Fundamentals of Production Engineering, Lublin University of Technology, 20-618 Lublin, Poland.ORCID 0000-0001-6149-1710
Mykhailo PivenDepartment of Physics and Mathematics, State Biotechnological University, 61002 Kharkiv, Ukraine.

Funding

National Science Centre in Krakow 2022/45/P/ST8/02312
6 · The paper itself

Abstract

Mechanical impacts on loose biological objects caused by technological equipment can result in both external and internal damage, compromising the quality, storage life, and reproductive capacity of biological materials. This study addresses the need for a reliable methodology to assess such damage. The research aims to develop a systematic approach for identifying damage parameters in biological objects. The methodology involves applying artificial loading to biological samples, determining destructive forces, conducting tomography, processing images, and evaluating damage extent. Experiments were performed using a standard material testing machine and a custom-built impact test bench with varying parameters such as static and dynamic characteristics, object orientation, and load magnitude. The microstructure of the sample, in the form of 2D cross-sections and 3D images, was obtained using X-ray computed tomography. Image processing, with the Monte Carlo method, allowed for the calculation of microdamage coefficients. The key result of this study is the identification of a relationship between the microdamage coefficient of corn seeds and external load parameters. These findings are critical for understanding the effects of mechanical impact on biological materials. Future research should focus on expanding the study to other biological objects and enhancing measurement techniques for more precise damage assessment.

Indexed as

biological objectmicrodamage coefficientMonte Carlo methodstatic and dynamic loadtomographic analysis

Identifiers

PMID40363578
PMCPMC12072839

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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.