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Record W4406125402 · doi:10.1021/envhealth.4c00195

Characterization and Health Risk Assessment of Airborne Fungi in a Semiunderground Municipal Wastewater Treatment Plant

2025· article· en· W4406125402 on OpenAlexaff
Xiang Zhang, Bingjie Lu, Shuo Yang, Bingjie Lin, Guang Chen, Lihua Wang, Zhengliang Peng, Huijie Lü, Chao Wang, Dan Li, Jianmin Chen

Bibliographic record

VenueEnvironment & Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsImpact
FundersNational Key Research and Development Program of ChinaScience and Technology Commission of Shanghai MunicipalityNatural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of China
KeywordsEnvironmental scienceWastewaterRisk assessmentEnvironmental healthHealth riskHealth risk assessmentCharacterization (materials science)Environmental planningMedicineEnvironmental engineeringComputer scienceMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Municipal wastewater treatment plants (WWTPs) are recognized as the significant source of fungal aerosols, which pose a significant threat to human health globally. Herein, the occurrences characterization, community structure, and health risk assessment of airborne fungi were investigated from a semiunderground WWTP. The concentrations of culturable fungi emitted into the air from the WWTP ranged from 30.6 to 1431.1 colony forming units (CFU)/m 3, with primary and biochemical treatments constituting the principal sources of emission ( P < 0.05). Diversity analysis revealed seasonal and facility-dependent fluctuations in culturable fungal communities. Approximately 13.5% of the total airborne fungal genera detected in the WWTP were culturable. Some airborne fungi in the WWTP with relatively low abundance but high cultivability, such as Cladosporium, Trichoderma, Neurospora, Filobasidium, and Hannaella, tended to be overlooked because of their limited presence in airborne environments. We also developed a health risk assessment method for fungi, utilizing seven indicators to characterize the risk posed by fungal pathogens from multiple perspectives, providing a comprehensive evaluation of potential health impacts. The simulated risk values of the air outlet and biochemical treatment exceeded those of other treatment facilities, with median risks of 2.2 × 10 2 and 1.4 × 10 2, respectively. Consequently, management strategies should prioritize enhanced controls for fungal aerosols to mitigate the risk of disease transmission.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.278
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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