Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/122648
Title: Optimizing molecular tools for bioaerosol monitoring : a case study of Staphylococcus aureus in a crowded workplace
Author(s): Xhetani, Merita
Parllaku, Brikena
Bakiri, Fjoralda
Lugaj, Arta
Hamzaraj, Etleva
Lika, Mirela
Metaliaj, Antea
Beca, Vera
Bennewitz, Bationa
Issue Date: 2026
Type: Article
Language: English
Abstract: Staphylococcus aureus is a common opportunistic pathogen found in various environments, with the potential for rapid spread, especially in densely populated indoor settings. Integrating traditional microbiological monitoring with molecular techniques is critical for the timely detection and control of such pathogens. The aim of this study was (1) to monitor the presence and spread of S. aureus in a crowded occupational environment and (2) to optimize a PCR protocol with sequence specific primers (PCR-SSP) for precise identification and early detection of this microorganism and its antibiotic resistance genes. Sampling was conducted in two different places: a call center and a healthcare facility room. All samples were collected from indoor areas at two different time points (T0 and T1) in May 2025 (mean temperature: 22.5 °C; humidity: 59.5%). Microbiological techniques and molecular analysis using PCR-SSP were employed to confirm the presence of S. aureus and detect antibiotic resistance genes such as mecA. A total CFU (colony-forming unit) count of 587 was recorded at the dental clinic corridor, and a total CFU count of 2008 was recorded at the call center corridor. PCR-SSP successfully confirmed the identity of S. aureus with an amplicon size 267 bp and enabled the detection of antibiotic resistance markers, validating its use as a complementary method to traditional microbiological techniques. This study highlights the importance of combining environmental monitoring with molecular biology tools to enhance the early detection and accurate identification of microbial pathogens such as S. aureus and provide an insight for our future direction of producing biosensors for digital air monitoring in crowded workplaces.
URI: https://opendata.uni-halle.de//handle/1981185920/124593
http://dx.doi.org/10.25673/122648
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Aerobiology
Publisher: MDPI
Publisher Place: Basel, Switzerland
Volume: 4
Issue: 1
Original Publication: 10.3390/aerobiology4010004
Page Start: 1
Page End: 10
Appears in Collections:Open Access Publikationen der MLU

Files in This Item:
File SizeFormat 
aerobiology-04-00004.pdf1.47 MBAdobe PDFView/Open