Cerrahi Maskelerin Geçirgenlik Özelliklerinin Regresyon Analizi ile Tahminlenmesi

Year 2025, Volume: 15 Issue: 2, 615 - 632, 15.06.2025

Gizem Celep , Fulya Yılmaz , Gamze Tetik

https://doi.org/10.31466/kfbd.1520258

Abstract

Bu çalışmanın amacı, maskelerden beklenen ve son kullanıcı konforu için önemli olan hava ve su buharı geçirgenlik özelliklerinin üretim öncesinde kalınlık, gramaj ve gözeneklilik parametrelerine bağlı olarak tahmin edilmesidir. Bu amaçla, piyasadan temin edilen üç katlı spunbond- meltblown- spunbond (SMS) cerrahi maskelerin katman morfolojileri taramalı elektron mikroskobu (SEM) ile incelenerek; kalınlık, gramaj ve gözeneklilik gibi yapısal-fiziksel özellikleri ile hava ve su buharı geçirgenlikleri test edilmiştir. Cerrahi maskelerin ölçülen özellikleri arasındaki farkın istatistiksel olarak anlamlı olup olmadığı ANOVA testi ile belirlenmiştir. Hava geçirgenliği ve su buharı geçirgenliklerinin kalınlık, gramaj ve gözeneklilik parametreleri ile tahminlenmesine yönelik regresyon denklemleri oluşturulmuştur. İncelenen maskelerin hava geçirgenliği değerleri 81,4-149,4 l/m2/s, su buharı geçirgenlik değerleri ise 6,67-9,78 g.mm/m2.gün.kPa arasında değişmektedir. En yüksek hava geçirgenliği ve su buharı geçirgenliğine sahip maskenin gözeneklilik değerinin diğer maskelere göre daha yüksek; kalınlık ve gramaj değerlerinin ise daha düşük olduğu gözlemlenmiştir. Sonuçlar maskelerin kalınlık ve gramajındaki artışın hava ve su buharı geçirgenliği değerlerini düşürdüğünü, gözeneklilikteki artışın ise hava ve su buharı geçirgenliğini artırdığını göstermektedir. Çoklu doğrusal regresyon modeline dahil edilen gramaj, kalınlık ve gözeneklilik değerlerinin cerrahi maskelerin hava geçirgenliğini %99,6; gözeneklilik ve kalınlık değerlerinin ise su buharı geçirgenliğini %91,9 oranında açıklayabileceği bulunmuştur. Çalışmada yapılan regresyon analizi ile cerrahi maskelerin geçirgenlik özelliklerinin seçilen yapısal-fiziksel özellikler ile yüksek bir oranda açıklanabileceği ortaya konulmaktadır.

Keywords

Cerrahi maske, Hava geçirgenliği, Regresyon analizi, Su buharı geçirgenliği, Tıbbi tekstil

Ethical Statement

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Supporting Institution

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Project Number

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Thanks

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Estimation of Permeability Properties of Surgical Masks by Regression Analysis

Abstract

The aim of this study is to estimate the air and water vapor permeability properties expected from masks, which are important for end-user comfort, before production, depending on thickness, weight per unit area, and porosity parameters. For this purpose, firstly, the layer morphologies of three-layer spunbond-meltblown-spunbond (SMS) surgical masks obtained from the market were examined by scanning electron microscope (SEM) and structural-physical properties such as thickness, weight per unit area, porosity, air and water vapor permeability were tested. The ANOVA test was used to determine whether the difference between the measured properties of the surgical masks was statistically significant. Regression equations were obtained to estimate air permeability and water vapor permeability with thickness, weight per unit area, and porosity parameters. The air permeability values of the examined masks varied between 81.4-149.4 l/m2/s and water vapor permeability values varied between 6.67-9.78 g.mm/m2.day.kPa. The results show that the increase in the thickness and weight per unit area of the masks decreases the air and water vapor permeability values, while the increase in porosity increases the air and water vapor permeability. It was found that the weight, thickness and porosity values included in the multiple linear regression model could explain the air permeability of surgical masks by 99.6%, while the porosity and thickness values could explain the water vapor permeability by 91.9%. The regression analysis performed in the study revealed that the permeability properties of surgical masks can be explained to a high extent by the selected structural-physical properties.

Keywords

Air permeability, Medical textile, Regression analysis, Surgical mask, Water vapor permeability

Project Number

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