Open AccessDEVELOPMENT OF NON-WOVEN FILTER FOR 3 LAYER MASK FROM BAMBOO/POLYPROPYLENE FIBERS
Author(s) -
Sadhana Devi,
G. Rajkumar
Publication year - 2021
Publication title -
international research journal of pharmacy
Language(s) - English
Resource type - Journals
ISSN - 2230-8407
DOI - 10.7897/2230-8407.1205136
Subject(s) - materials science , polypropylene , composite material , woven fabric , bamboo , fiber , filtration (mathematics) , air permeability specific surface , layer (electronics) , statistics , mathematics
The necessary element of non-public protecting instrumentation is mask. Mask is most necessary in pandemic as a result it safeguard our life by stopping the spreading of the Corona virus by entrapping the droplets from the corona affected person to enter wearer’s nose. There are different typed of mask like non- woven mask, reusable mask, N95 mask and artifact mask etc. Majority of business masks are non-woven masks that are created from polypropylene fiber. The most downside of non-woven masks is its discomfort and affect lack of breathability. This drawback is solved by utilizing natural fibers collectively of the material in non-woven and victimization them in mask. Bamboo fiber may be a natural celluloid fiber having smart comfort properties with antimicrobial properties. Bamboo fiber is also hydroscopic, natural deodorizer and hypoallergenic which provides good breathability and comfort. The polypropylene fiber is used with bamboo to provide good strength and abrasion property. Hence an attempt is made to develop a surgical mask from bamboo fiber with different blend ratios of 70:30, 60:40 and 50:50 of Bamboo and Polypropylene fiber to judge its mechanical properties like GSM and thickness potential as a protecting barrier material in non-woven face masks. The developed non-woven fabric of different blend is compared with each other, and the results shows 50: 50 blend has good mechanical properties, and the results show an effective value of Bacterial Filtration efficiency and Differential Pressure which are the most important parameters to predict the filtration efficiency of a surgical mask.