Assessment of Physical and Mechanical Parameters of Spun-Bond Nonwoven Fabric

The selection of an appropriate fabric for technical applications, such as protective masks, hinges on a thorough understanding of the fabric's physical and mechanical properties. This study addresses the challenge of selecting the optimal material structure for the upper layer of a protective mask, aiming to ensure adequate breathability while providing effective filtration against airborne particles and contaminants. We assessed and compared the physical-mechanical properties of five polymer spun-bond nonwoven fabrics from different suppliers. Our comprehensive evaluation included, as follows: a visual inspection; light permeability analysis; mass and thickness measurements; elongation and tensile strength tests; breathing resistance assessments; and filter penetration tests with paraffin oil. The results revealed significant variations in performance among the samples, with one fabric consistently outperforming the others across multiple parameters. Notably, this top-performing fabric met or exceeded the EN 149:2001+A1:2009 standard for breathing resistance and filtration efficiency and, in combination with additional filter layers, met the requirements or exceeded class FFP2 (filtering face piece). This study underscores the importance of meticulous material selection and quality control in optimizing PPE (personal protective equipment) performance and user safety, providing valuable insights for mask manufacturers and healthcare professionals.

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Institutions

Publication Details

Journal
Polymers
Published
2024-10-17
DOI
https://doi.org/10.3390/polym16202920
Citations
3
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.51

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article

Assessment of Physical and Mechanical Parameters of Spun-Bond Nonwoven Fabric

Inga Ļašenko, Arta Viļuma-Gudmona, Sai-Pavan Kanukuntla, Sanjay Rajni Vejanand et al.
3 citations
Polymers
Textile materials and evaluations
0.51
article

Assessment of Physical and Mechanical Parameters of Spun-Bond Nonwoven Fabric

Inga Ļašenko, Arta Viļuma-Gudmona, Sai-Pavan Kanukuntla, Sanjay Rajni Vejanand, Jaymin Vrajlal Sanchaniya, Sandra Vasilevska
article en
3 citations

Abstract

The selection of an appropriate fabric for technical applications, such as protective masks, hinges on a thorough understanding of the fabric's physical and mechanical properties. This study addresses the challenge of selecting the optimal material structure for the upper layer of a protective mask, aiming to ensure adequate breathability while providing effective filtration against airborne particles and contaminants. We assessed and compared the physical-mechanical properties of five polymer spun-bond nonwoven fabrics from different suppliers. Our comprehensive evaluation included, as follows: a visual inspection; light permeability analysis; mass and thickness measurements; elongation and tensile strength tests; breathing resistance assessments; and filter penetration tests with paraffin oil. The results revealed significant variations in performance among the samples, with one fabric consistently outperforming the others across multiple parameters. Notably, this top-performing fabric met or exceeded the EN 149:2001+A1:2009 standard for breathing resistance and filtration efficiency and, in combination with additional filter layers, met the requirements or exceeded class FFP2 (filtering face piece). This study underscores the importance of meticulous material selection and quality control in optimizing PPE (personal protective equipment) performance and user safety, providing valuable insights for mask manufacturers and healthcare professionals.

PolymersVol. 16(20)
Latvia University of Life Sciences and Technologies (LV), Riga Technical University (LV)
Rīgas Tehniskā Universitāte
Openalex Percentile: Top 42%
Textile materials and evaluations
0.51
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Assessment of Physical and Mechanical Parameters of Spun-Bond Nonwoven Fabric — Inga Ļašenko, Arta Viļuma-Gudmona, et al. · Polymers (2024) | TGRS Research Map | TGRS