ArticlePloS one2019
A method for early detection and identification of fungal contamination of building materials using e-nose.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 47 citations in OpenAlex.
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- Sterility testing of germ-free mouse colonies.Frontiers in immunology · 2023Review
- A Collection of Molecular Fingerprints of Single Aerosol Particles in Air for Potential Identification and Detection Using Optical Trapping-Raman Spectroscopy.Molecules (Basel, Switzerland) · 2022Article
- Comparison of the Moist Material Relative Permittivity Readouts Using the Non-Invasive Reflectometric Sensors and Microwave Antenna.Sensors (Basel, Switzerland) · 2022Article
- Emerging Methods of Monitoring Volatile Organic Compounds for Detection of Plant Pests and Disease.Biosensors · 2022Review
- Article
- Identification of Olfactory Nuisance of Floor Products Containing Bitumens with the TD-GC-MS/O Method.Materials (Basel, Switzerland) · 2022Article
- Electronic Nose Differentiation betweenMolecules (Basel, Switzerland) · 2021Article
- An Outlook of Recent Advances in Chemiresistive Sensor-Based Electronic Nose Systems for Food Quality and Environmental Monitoring.Sensors (Basel, Switzerland) · 2021Review
- Application of a Low-Cost Electronic Nose for Differentiation between Pathogenic OomycetesSensors (Basel, Switzerland) · 2021Article
- Mass Spectrometry: A Rosetta Stone to Learn How Fungi Interact and Talk.Life (Basel, Switzerland) · 2020Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to develop a method for early detection and identification of fungal contamination of building materials using an electronic nose. Therefore, the laboratory experiments based on the analysis of the air in the vicinity of fungal isolates potentially found in the building materials were performed. The results revealed that the employed gas sensors array consisting of MOS-type sensors enables the detection of the differences among the examined samples of fungi and distinguishing between the non-contaminated and contaminated samples, shortly after fungal contamination occurs. Electronic nose readouts were analysed using Principal Component Analysis and the results were verified with standard chromatographic analysis by means of SPME-GC/MS method, which proved that gas sensors array can be applied for early detection of fungal contamination.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.