Evidence map›Paper›PMID 42505484›Full record

ArticleBiomimetics (Basel, Switzerland)2026

A Transferable Quantitative Framework for Extracting Engineering-Relevant Descriptors from Biological Protective Surfaces: Intra-Specimen Descriptor Mapping of Five Citrus Peels.

Murat Bengisu, Burcu Akdağ, Fatma Şahmurat, Zehranur Tekin, Kamile Nazan Turhan

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Murat BengisuDepartment of Industrial Design, Izmir University of Economics, 35330 İzmir, Türkiye.ORCID 0000-0001-6814-5861
Burcu AkdağCenter for Materials Research, Izmir Institute of Technology, 35430 İzmir, Türkiye.ORCID 0000-0003-0692-1348
Fatma ŞahmuratDepartment of Food Engineering, Aksaray University, 68100 Aksaray, Türkiye.ORCID 0000-0001-8215-238X
Zehranur TekinDepartment of Food Engineering, Izmir University of Economics, 35330 İzmir, Türkiye.ORCID 0000-0002-1817-5322
Kamile Nazan TurhanDepartment of Food Engineering, Izmir University of Economics, 35330 İzmir, Türkiye.ORCID 0000-0003-1943-6288

Funding

İzmir University of Economics 2021-09
6 · The paper itself

Abstract

Citrus peel is examined here as a naturally evolved protective surface, with the goal of developing a transferable quantitative framework for extracting engineering-relevant descriptors from biological protective surfaces and using them as design templates for biomimetic counterparts. A single-specimen-per-species design is adopted to map intra-fruit geometric variation across regions and magnifications; absolute descriptor values are therefore reported as ordinal indicators of inter-species ranking rather than as population means. Five citrus species (lemon, orange, mandarin, grapefruit, and bitter orange) were characterised by mechanical testing (cutting, puncture, and compression; five replicates per fruit), gravimetric peel density and thickness, and scanning electron microscopy (SEM) at 100×-10,000×. The 135-image SEM dataset was processed with an automatic-calibration pipeline performing per-image scale-bar detection, multilevel-Otsu segmentation of albedo air space, cell-bounded surface segment (CBSS) and oil-gland segmentation on flavedo, and grey-level co-occurrence matrix (GLCM) texture analysis with a directional anisotropy index AF. Calibration was consistent across all images (FoV × magnification =403,273±410 μm·×, ±0.10%). Principal component analysis separated flavedo and albedo at every magnification (PC1 + PC2 = 84-92%). Within this dataset, grapefruit showed the densest CBSS cover (1072 mm-2) together with the highest oil-gland density (2.77 mm-2); bitter orange showed the largest CBSS area (23.7 μm2) and the thickest peel (13.1 mm); mandarin showed the most directionally oriented flavedo film (AF=0.0885); and lemon showed the most open albedo (φ2D=36.2%). Oil-gland equivalent diameter was essentially invariant (∼45 μm) across the five fruits, while gland density varied 4.4-fold. The structural metrics define a layered descriptor space-a dense isotropic surface relief versus a thick cellular bulk-that supplies two distinct bioinspired-design priors: dense surface films as a structural prior for selective-permeability membranes and layered cellular cores as a prior for impact-absorbing panels. A modified-atmosphere packaging (MAP)-compatible biomimetic film is identified as one downstream design hypothesis requiring direct gas-permeability verification on synthetic membranes.

Indexed as

bioinspired designbiological protective surfacesbiomimeticscitrus peelquantitative descriptor frameworkSEM image analysis

Identifiers

PMID42505484
PMCPMC13406879

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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.