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Quality control of natural cork stoppers by image analysis and oxygen transmission rate

  • María Consuelo Díaz-Maroto ORCID logo , Manuel López-Viñas , Lucía Loarce , María del Álamo Sanza ORCID logo , Ignacio Nevares ORCID logo , María Elena Alañón ORCID logo and María Soledad Pérez-Coello ORCID logo EMAIL logo
Published/Copyright: August 8, 2022
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Abstract

This work presents the evaluation of the porosity by image analysis, the quantitative analysis of the cell morphology from images obtained by scanning electron microscopy (SEM) and the oxygen transmission rate (OTR) of natural corks of different visual quality grades. Due to the natural variability of cork stoppers, statistically significant differences could not be established in the porosity of the corks according to their commercial quality. However, the determination of the surface porosity coefficient by image analysis in the tangential and axial sections of the corks allowed us to distinguish between high, medium and low quality classes. The cells in the tangential section were shaped between circular and hexagonal, with very regular perimeters regardless of the cork quality. While the cells of the radial and axial sections showed a square and rectangular shape, with more irregular perimeters, mainly in the lowest quality corks and in the axial section. Corks commercially classified as “flower”, “second” and “third” had the lowest OTR values and presented a similar statistical distribution in their cell perimeters in the axial section. While the corks with higher OTR values (superior and fourth qualities) corresponded with those with greater cell perimeters and greater dispersion in their distribution.


Corresponding author: María Soledad Pérez-Coello, Area of Food Technology, Faculty of Chemical Sciences and Technologies, Regional Institute for Applied Scientific Research (IRICA), University of Castilla-La Mancha, Avda. Camilo José Cela 10, 13071 Ciudad Real, Spain, E-mail:

Award Identifier / Grant number: Project SBPLY-17-180501-000445

Acknowledgements

The authors thank to Sergio Guerra López for the development of the software for porosity measurements.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research was funded by Junta de Comunidades de Castilla-La Mancha (JCCM, Spain), Project SBPLY-17-180501-000445.

  3. Conflict of interest statement: The authors declare that they have no conflicts of interest regarding this manuscript.

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Received: 2022-02-01
Accepted: 2022-07-07
Published Online: 2022-08-08
Published in Print: 2022-09-27

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