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Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments

This study analyzes the growth and reproduction of dust accumulated fungi (DAF) in an air-conditioning system based on field measurement and molecular biology, laboratory experiment and prediction modelling. The field measurement was conducted to collect dust in filter screen, surface cooler and air...

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Autores principales: Liu, Zhijian, Deng, Yuzhu, Ma, Shengyuan, He, Bao-Jie, Cao, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tsinghua University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501501/
https://www.ncbi.nlm.nih.gov/pubmed/32983398
http://dx.doi.org/10.1007/s12273-020-0693-3
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author Liu, Zhijian
Deng, Yuzhu
Ma, Shengyuan
He, Bao-Jie
Cao, Guoqing
author_facet Liu, Zhijian
Deng, Yuzhu
Ma, Shengyuan
He, Bao-Jie
Cao, Guoqing
author_sort Liu, Zhijian
collection PubMed
description This study analyzes the growth and reproduction of dust accumulated fungi (DAF) in an air-conditioning system based on field measurement and molecular biology, laboratory experiment and prediction modelling. The field measurement was conducted to collect dust in filter screen, surface cooler and air supply duct of two air handling units (AHUs). The results indicate that dust volume and fungal number in two AHUs generally met the hygienic specification of public buildings, but the cleansing did not fulfil requirements. High-throughput sequencing was conducted, revealing that the dominant fungal species were Alternaria_betae-kenyensis, Cladosporium_delicatulum, Aspergillus_sydowii, Verticillium_dahliae. Laboratory experiment was conducted to analyze the impact of several factors (e.g. growth time, temperature, relative humidity, duct material) and their combination on the DAF growth. The results indicate that fungal growth increased with time, peaking at 4 days or 5 days. Higher relative humidity or temperature was conducive to fungal growth. The orthogonal experiment revealed that the condition of “antibacterial composite, 22 ± 1 °C and 45%–55% RH” had the strongest inhibiting impact on fungal growth. Logistic model, Gompertz model and square-root model were further developed to predict the fungal growth under different conditions. The results show that the Logistic model had high feasibility and accuracy, the Gompertz model was feasible with lower accuracy and the square-root model was feasible with high accuracy. Overall, this study facilitates the understanding of the DAF growth in air-conditioning ducts, which is important for real-time prediction and timely control of the fungal contamination.
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spelling pubmed-75015012020-09-21 Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments Liu, Zhijian Deng, Yuzhu Ma, Shengyuan He, Bao-Jie Cao, Guoqing Build Simul Research Article This study analyzes the growth and reproduction of dust accumulated fungi (DAF) in an air-conditioning system based on field measurement and molecular biology, laboratory experiment and prediction modelling. The field measurement was conducted to collect dust in filter screen, surface cooler and air supply duct of two air handling units (AHUs). The results indicate that dust volume and fungal number in two AHUs generally met the hygienic specification of public buildings, but the cleansing did not fulfil requirements. High-throughput sequencing was conducted, revealing that the dominant fungal species were Alternaria_betae-kenyensis, Cladosporium_delicatulum, Aspergillus_sydowii, Verticillium_dahliae. Laboratory experiment was conducted to analyze the impact of several factors (e.g. growth time, temperature, relative humidity, duct material) and their combination on the DAF growth. The results indicate that fungal growth increased with time, peaking at 4 days or 5 days. Higher relative humidity or temperature was conducive to fungal growth. The orthogonal experiment revealed that the condition of “antibacterial composite, 22 ± 1 °C and 45%–55% RH” had the strongest inhibiting impact on fungal growth. Logistic model, Gompertz model and square-root model were further developed to predict the fungal growth under different conditions. The results show that the Logistic model had high feasibility and accuracy, the Gompertz model was feasible with lower accuracy and the square-root model was feasible with high accuracy. Overall, this study facilitates the understanding of the DAF growth in air-conditioning ducts, which is important for real-time prediction and timely control of the fungal contamination. Tsinghua University Press 2020-09-19 2021 /pmc/articles/PMC7501501/ /pubmed/32983398 http://dx.doi.org/10.1007/s12273-020-0693-3 Text en © Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Liu, Zhijian
Deng, Yuzhu
Ma, Shengyuan
He, Bao-Jie
Cao, Guoqing
Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments
title Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments
title_full Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments
title_fullStr Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments
title_full_unstemmed Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments
title_short Dust accumulated fungi in air-conditioning system: Findings based on field and laboratory experiments
title_sort dust accumulated fungi in air-conditioning system: findings based on field and laboratory experiments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501501/
https://www.ncbi.nlm.nih.gov/pubmed/32983398
http://dx.doi.org/10.1007/s12273-020-0693-3
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