Cargando…
Assessment of aloe vera for qualitative fit testing of particulate respirators: a logistic regression approach
Fit testing procedure is required for filtering facepiece respirators (FFRs) to ascertain an acceptable fit between the skin and facepiece sealing surface. The present study seeks to compare the efficacy of Aloe vera (A. vera) and commercial Bitrex(TM) as challenge agents of qualitative fit testing...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Occupational Safety and Health, Japan
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997717/ https://www.ncbi.nlm.nih.gov/pubmed/31155521 http://dx.doi.org/10.2486/indhealth.2109-0019 |
_version_ | 1783493744994025472 |
---|---|
author | FAKHERPOUR, Anahita JAHANGIRI, Mehdi YOUSEFINEJAD, Saeed SEIF, Mozhgan BANAEE, Sean |
author_facet | FAKHERPOUR, Anahita JAHANGIRI, Mehdi YOUSEFINEJAD, Saeed SEIF, Mozhgan BANAEE, Sean |
author_sort | FAKHERPOUR, Anahita |
collection | PubMed |
description | Fit testing procedure is required for filtering facepiece respirators (FFRs) to ascertain an acceptable fit between the skin and facepiece sealing surface. The present study seeks to compare the efficacy of Aloe vera (A. vera) and commercial Bitrex(TM) as challenge agents of qualitative fit testing of particulate respirators. An herbal solution consisting of A. vera at seven different concentrations was developed. Threshold Screening Tests (TSTs) of A. vera solutions were compared to Bitrex(TM). To do so, solutions were administered randomly on a total of 62 participants. A placebo was also tested to ensure the taste response being valid. Statistical analysis was performed using R 3.2.5.0 software. There were no statistically significant differences between the A. vera (41.7, 58.3, 75, and 91.7 mg/ml) and Bitrex(TM) threshold tests. Therefore, the minimum concentration of A. vera to develop the threshold solution was considered to be 41.7 mg/ml. When commercial products are expensive and unavailable, a cost-effective technique would be to replace A. vera solution with a commercial product as a challenge agent of qualitative fit testing of respirators. |
format | Online Article Text |
id | pubmed-6997717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Institute of Occupational Safety and Health, Japan |
record_format | MEDLINE/PubMed |
spelling | pubmed-69977172020-02-05 Assessment of aloe vera for qualitative fit testing of particulate respirators: a logistic regression approach FAKHERPOUR, Anahita JAHANGIRI, Mehdi YOUSEFINEJAD, Saeed SEIF, Mozhgan BANAEE, Sean Ind Health Original Article Fit testing procedure is required for filtering facepiece respirators (FFRs) to ascertain an acceptable fit between the skin and facepiece sealing surface. The present study seeks to compare the efficacy of Aloe vera (A. vera) and commercial Bitrex(TM) as challenge agents of qualitative fit testing of particulate respirators. An herbal solution consisting of A. vera at seven different concentrations was developed. Threshold Screening Tests (TSTs) of A. vera solutions were compared to Bitrex(TM). To do so, solutions were administered randomly on a total of 62 participants. A placebo was also tested to ensure the taste response being valid. Statistical analysis was performed using R 3.2.5.0 software. There were no statistically significant differences between the A. vera (41.7, 58.3, 75, and 91.7 mg/ml) and Bitrex(TM) threshold tests. Therefore, the minimum concentration of A. vera to develop the threshold solution was considered to be 41.7 mg/ml. When commercial products are expensive and unavailable, a cost-effective technique would be to replace A. vera solution with a commercial product as a challenge agent of qualitative fit testing of respirators. National Institute of Occupational Safety and Health, Japan 2019-06-01 2020-01 /pmc/articles/PMC6997717/ /pubmed/31155521 http://dx.doi.org/10.2486/indhealth.2109-0019 Text en ©2020 National Institute of Occupational Safety and Health This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article FAKHERPOUR, Anahita JAHANGIRI, Mehdi YOUSEFINEJAD, Saeed SEIF, Mozhgan BANAEE, Sean Assessment of aloe vera for qualitative fit testing of particulate respirators: a logistic regression approach |
title | Assessment of aloe vera for qualitative fit testing of particulate
respirators: a logistic regression approach |
title_full | Assessment of aloe vera for qualitative fit testing of particulate
respirators: a logistic regression approach |
title_fullStr | Assessment of aloe vera for qualitative fit testing of particulate
respirators: a logistic regression approach |
title_full_unstemmed | Assessment of aloe vera for qualitative fit testing of particulate
respirators: a logistic regression approach |
title_short | Assessment of aloe vera for qualitative fit testing of particulate
respirators: a logistic regression approach |
title_sort | assessment of aloe vera for qualitative fit testing of particulate
respirators: a logistic regression approach |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997717/ https://www.ncbi.nlm.nih.gov/pubmed/31155521 http://dx.doi.org/10.2486/indhealth.2109-0019 |
work_keys_str_mv | AT fakherpouranahita assessmentofaloeveraforqualitativefittestingofparticulaterespiratorsalogisticregressionapproach AT jahangirimehdi assessmentofaloeveraforqualitativefittestingofparticulaterespiratorsalogisticregressionapproach AT yousefinejadsaeed assessmentofaloeveraforqualitativefittestingofparticulaterespiratorsalogisticregressionapproach AT seifmozhgan assessmentofaloeveraforqualitativefittestingofparticulaterespiratorsalogisticregressionapproach AT banaeesean assessmentofaloeveraforqualitativefittestingofparticulaterespiratorsalogisticregressionapproach |