Bio-Aerosols in Indoor Environment: Composition, Health Effects and Analysis

Srikanth, Padma; Sudharsanam, Suchithra; Steinberg, Ralf

doi:10.1016/s0255-0857(21)01805-3

Cited by 80 publications

(28 citation statements)

References 66 publications

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“…3 As reported in some research, the outbreak growth of fungi could release a high concentration of spores, approximately 10 4 CFU•m −3 . 10,25,52 These results indicated that our system is feasible to handle samples from common indoor air.…”

Section: ■ Results and Discussionmentioning

confidence: 72%

“…1,2,5,6 Adverse effects of poor indoor air quality caused by fungal aerosol contamination on health have attracted much public attention, since people spend almost 90% of their time indoors. 7−9 These undesirable bioaerosols can lead to sick building syndrome (SBS) and building related illness (BRI), 10 for instance, some sensory irritations of eyes and upper respiratory tract induced by volatile products of fungal metabolisms, 11−13 and some respiratory infections and allergic reactions caused by airborne fungal spores 13,14 including Penicillium, Aspergillus, and Cladosporium. Additionally, evidence showed that some pathogenic species can cause nosocomial infections which are always focal issues.…”

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confidence: 99%

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Microfluidic System for Rapid Detection of Airborne Pathogenic Fungal Spores

Zhang

Liu

et al. 2018

ACS Sens.

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Airborne fungi, including Aspergillus species, are the major causes of human asthma. Direct capture and analysis of pathogenic fungi in indoor air is important for disease prevention and control. In this paper, we demonstrated an integrated microfluidic system capable of enrichment and high-throughput detection for airborne fungal spores of Aspergillus niger, a well-known allergenic harmful species. The microfluidic system allowed semiquantitative detection of Aspergillus niger spores based on immunofluorescence analysis. To assess its contaminated level, the whole analysis time could be completed in 2−3 h including ∼1 h of enrichment and ∼1 h of target detection. The detection limit was ∼20 spores, equivalent to ∼300 spores•m −3 of the concerned targets in air. In addition, the microfluidic system has integrated sampling and sample analysis to avoid additional sample concentration step, showing the potential for point-of-care detection for other pathogenic fungal spores.

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Section: ■ Results and Discussionmentioning

confidence: 72%

mentioning

confidence: 99%

Microfluidic System for Rapid Detection of Airborne Pathogenic Fungal Spores

Zhang

Liu

et al. 2018

ACS Sens.

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“…This is further reinforced with the use of culture based-methods and molecular tools. Indeed, although most of the studies performed in HEI are focused on air quality screenings [28,30,32,33,62,63], surface analyses have also been shown to be relevant, as they may also reflect the contamination in the air by resuspension depending of the activities developed indoors, thus possibly leading to increased levels in airborne concentration [57,64,65].…”

Section: Discussionmentioning

confidence: 99%

Microbiological Contamination Assessment in Higher Education Institutes

Viegas¹,

Pimenta

Dias

et al. 2021

Atmosphere

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The higher education sector represents a unique environment and it acts as a work environment, a learning environment for students, and frequently, also a home environment. The aim of this study was to determine the microbial contamination (SARS-CoV-2, fungi, and bacteria) in Higher Education Facilities (HEI) by using active and passive sampling methods and combining culture-based methods with molecular tools targeting Aspergillus section Fumigati. In addition, the resistance to azole profile was also assessed. Surface samples showed a range of total bacterial contamination between 1 × 103 to 3.1 × 106 CFU·m−2, while Gram-negative bacteria ranged from 0 to 1.9 × 104 CFU·m−2. Fungal contamination ranged from 2 × 103 to 1.8 × 105 CFU·m−2 on MEA, and from 5 × 103 to 1.7 × 105 CFU·m−2 on DG18. The most prevalent species found on both media was Cladosporium sp. (47.36% MEA; 32.33% DG18). Aspergillus genera was observed on MEA (3.21%) and DG18 (14.66%), but not in the supplemented media used for the azole screening. Aspergillus section Fumigati was detected in 2 air samples (2.22%, 2 out of 90 samples) by qPCR. When testing for SARS-CoV-2 all results were negative. The present study showed that although cleaning and disinfection procedures are done regularly due to the COVID-19 pandemic, being effective in eliminating SARS-CoV-2, surfaces were often contaminated with microorganisms other than SARS-CoV-2. This can be a result of increasing resistance to biocides, and to the wide range of environmental factors that can contribute to the dissemination of microbial contamination indoors.

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“…High concentrations of microorganisms in air may be considered as an environmental risk, causing health problems in the indoor environments [ 2 ]. About 5–34% of indoor air pollution is caused by bioaerosols [ 3 ]. The results of epidemiological studies show that high concentrations of airborne microbes can be life-threatening and fatal [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Interventional Effect of Nanosilver Paint on Fungal Load of Indoor Air in a Hospital Ward

Rostami

Hossein

Zarrinfar

et al. 2021

Canadian Journal of Infectious Diseases and Medical Microbiolog

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Hospital ward environments contain various types of microorganisms, in which fungal agents are one of the main contaminants that may cause hospital-acquired infections. Regarding this, the aim of the present study was to evaluate the effect of nanosilver paint on reducing fungal contaminants of indoor air in an educational, research, and treatment center. Two rooms in the hematology ward were selected. One room was painted using usual paint (control room) and the other room was painted with paint containing nanosilver particles (experimental room). One hundred and twelve samples were collected using active (Anderson BioSampler) and passive (settle plate or open plate) air sampling techniques. The samples were incubated for 3–7 days at 35°C, and the positive fungal cultures were examined according to morphological and microscopic characteristics. Following active sampling, the mean and standard deviation of the number of colony-forming units (CFU/m3) of fungi colonies in the experimental and control rooms were 29.21 ± 17.99 and 22.50 ± 10.02 before intervention and 13.79 ± 6.20 and 31.07 ± 21.1 after intervention, respectively. Following passive sampling, the number of CFU/plate in the experimental and control rooms was 6 and 0 before and 1and 1 after intervention, respectively. The use of the nanosilver paint was effective in reducing air fungal contamination. Moreover, the active sampling method was more sensitive to measuring the concentration changes for fungal bioaerosols.

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Bio-Aerosols in Indoor Environment: Composition, Health Effects and Analysis

Cited by 80 publications

References 66 publications

Microfluidic System for Rapid Detection of Airborne Pathogenic Fungal Spores

Microfluidic System for Rapid Detection of Airborne Pathogenic Fungal Spores

Microbiological Contamination Assessment in Higher Education Institutes

Interventional Effect of Nanosilver Paint on Fungal Load of Indoor Air in a Hospital Ward

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