Literature DB >> 21359295

Pre-sampling contamination of filters used in measurements of airborne (1 → 3)-β-D-glucan based on glucan-specific Limulus amebocyte lysate assay.

Elizabeth S Shogren1, Ju-Hyeong Park.   

Abstract

Air sampling for (1 → 3)-β-D-glucan may be a good method for assessing inhalation exposure to airborne fungi. Pre-sampling contamination of filter media used for sampling (1 → 3)-β-D-glucan may lead to substantial exposure measurement errors. Using the Limulus amebocyte lysate assay, we tested for pre-sampling levels of (1 → 3)-β-D-glucan on three types of filters-mixed cellulose ester (MCE)[1 brand], glass fiber (GF)[1 brand], and polycarbonate (PC)[5 brands]. Levels of (1 → 3)-β-D-glucan on MCE filters exceeded 4586.1 pg per filter. Levels on GF filters averaged 135.3 (± 28.9) pg per filter (range = 94.8-160.4 pg per filter) and levels on PC filters averaged 152.4 (± 236.1) pg per filter (range = non-detectable-1760.7 pg per filter). Efforts to clean MCE and GF filters were unfeasible or unsuccessful. Sonicating PC filters for two hours in ethanol, followed by a wash in pyrogen-free water, effectively eliminated measured levels of (1 → 3)-β-D-glucan on four brands of PC filters, as compared to untreated PC filters. This pretreatment process did not appear to physically damage the PC filters. Air sampling results highlighted the potentially problematic contamination of untreated PC filters. Ensuring that sampling media are free of (1 → 3)-β-D-glucan before sampling is crucial to accurately measure levels of (1 → 3)-β-D-glucan exposure, especially in environments where levels of (1 → 3)-β-D-glucan are low.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21359295     DOI: 10.1039/c0em00495b

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  3 in total

1.  Bacteria in a water-damaged building: associations of actinomycetes and non-tuberculous mycobacteria with respiratory health in occupants.

Authors:  J-H Park; J M Cox-Ganser; S K White; A S Laney; S M Caulfield; W A Turner; A D Sumner; K Kreiss
Journal:  Indoor Air       Date:  2016-01-21       Impact factor: 5.770

2.  Observational scores of dampness and mold associated with measurements of microbial agents and moisture in three public schools.

Authors:  S J Cho; J M Cox-Ganser; J-H Park
Journal:  Indoor Air       Date:  2015-03-02       Impact factor: 5.770

3.  Characterization of fungi in office dust: Comparing results of microbial secondary metabolites, fungal internal transcribed spacer region sequencing, viable culture and other microbial indices.

Authors:  J-H Park; M Sulyok; A R Lemons; B J Green; J M Cox-Ganser
Journal:  Indoor Air       Date:  2018-05-04       Impact factor: 5.770

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.